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Analyzing the Performance of Lithium-Ion Batteries for Plug-In Hybrid Electric Vehicles and Second-Life Applications by Rutvik Milind Vaidya A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved June 2017 by the Graduate Supervisory Committee: A.M. Kannan, Co-Chair Terry Alford, Co-Chair Jeffrey Wishart ARIZONA STATE UNIVERSITY August 2017

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Analyzing the Performance of Lithium-Ion Batteries for Plug-In Hybrid Electric Vehicles

and Second-Life Applications

by

Rutvik Milind Vaidya

A Thesis Presented in Partial Fulfillment

of the Requirements for the Degree

Master of Science

Approved June 2017 by the

Graduate Supervisory Committee:

A.M. Kannan, Co-Chair

Terry Alford, Co-Chair

Jeffrey Wishart

ARIZONA STATE UNIVERSITY

August 2017

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ABSTRACT

The automotive industry is committed to moving towards sustainable modes of

transportation through electrified vehicles to improve the fuel economy with a reduced

carbon footprint. In this context, battery-operated hybrid, plug-in hybrid and all-electric

vehicles (EVs) are becoming commercially viable throughout the world. Lithium-ion (Li-

ion) batteries with various active materials, electrolytes, and separators are currently

being used for electric vehicle applications. Specifically, lithium-ion batteries with

Lithium Iron Phosphate (LiFePO4 - LFP) and Lithium Nickel Manganese Cobalt Oxide

(Li(NiMnCo)O2 - NMC) cathodes are being studied mainly due to higher cycle life and

higher energy density values, respectively. In the present work, 26650 Li-ion batteries

with LFP and NMC cathodes were evaluated for Plug-in Hybrid Electric Vehicle (PHEV)

applications, using the Federal Urban Driving Schedule (FUDS) to discharge the batteries

with 20 A current in simulated Arizona, USA weather conditions (50 ⁰C & <10% RH). In

addition, 18650 lithium-ion batteries (LFP cathode material) were evaluated under PHEV

mode with 30 A current to accelerate the ageing process, and to monitor the capacity

values and material degradation. To offset the high initial cost of the batteries used in

electric vehicles, second-use of these retired batteries is gaining importance, and the

possibility of second-life use of these tested batteries was also examined under constant

current charge/discharge cycling at 50 ⁰C.

The capacity degradation rate under the PHEV test protocol for batteries with

NMC-based cathode (16% over 800 cycles) was twice the degradation compared to

batteries with LFP-based cathode (8% over 800 cycles), reiterating the fact that batteries

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with LFP cathodes have a higher cycle life compared to other lithium battery chemistries.

Also, the high frequency resistance measured by electrochemical impedance

spectroscopy (EIS) was found to increase significantly with cycling, leading to power

fading for both the NMC- as well as LFP-based batteries. The active materials analyzed

using X-ray diffraction (XRD) showed no significant phase change in the materials after

800 PHEV cycles. For second-life tests, these batteries were subjected to a constant

charge-discharge cycling procedure to analyze the capacity degradation and materials

characteristics.

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DEDICATION

I would like to dedicate this research work to my parents, Meera and Milind

Vaidya, who have ensured that I was provided with all the things needed to succeed.

They have always been with me in all my endeavors, and their continuous support has

instilled in me the confidence to tackle tough times during my entire life, especially

during my education at Arizona State University.

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ACKNOWLEDGMENTS

I would firstly like to express my sincere thank you to my advisor, Dr. A.M.

Kannan for giving me an opportunity to work on the exciting and developing field of

lithium-ion batteries. I am grateful for his support and help during the project, and for his

trust and belief in my abilities. His willingness to help me every time I encountered a

challenge helped me a lot when I had difficulties with the project. His involvement

during the project was crucial, and I am thankful to have him as my mentor.

I would like to thank Dr. Terry Alford and Dr. Jeffrey Wishart for kindly agreeing

to serve on my committee, and for keeping track of my progress during the research. I

would also like to thank Kathy Knoop from Salt River Project for the important inputs

regarding the project. My sincere “thank you” to Dr. Emmanuel Soignard from the Leroy

Eyring Center for Solid State Science (LECSSS) at ASU for helping with the materials

characterization aspects of the work.

I am grateful to Xuan Shi from Dr. Kannan’s research group for helping me with

instrumentation and issues in the lab. Without his help, a lot of valuable research time

would have been lost. I wish to thank all my lab members for helping me during the

thesis through valuable discussions. I would, finally, like to thank all my friends, who

supported and encouraged me constantly. I would also like to acknowledge financial

support from Salt River Project, AZ during the year 2016 – 2017.

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TABLE OF CONTENTS

Page

LIST OF TABLES ............................................................................................................ vii

LIST OF FIGURES ......................................................................................................... viii

LIST OF ABBREVIATIONS ............................................................................................ xi

CHAPTER

1 INTRODUCTION ............................................................................................................1

1.1 Background and Motivation .......................................................................................1

1.2 Objective of the Thesis ............................................................................................14

1.3 Organization of the Thesis .......................................................................................14

2 LITERATURE REVIEW ...............................................................................................16

3 METHODOLOGY .........................................................................................................22

3.1 PHEV Drive Profile .................................................................................................22

3.2 Current Profile for CD Mode ...................................................................................23

3.3 Battery Cycle-life Tests ...........................................................................................24

3.4 EIS and XRD Analysis ............................................................................................27

3.4.1 EIS Analysis ..................................................................................................... 27

3.4.2 XRD Analysis ................................................................................................... 28

3.5 Equivalent Circuit Modeling ....................................................................................28

3.6 Second-life Testing ..................................................................................................29

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CHAPTER Page

4 RESULTS AND DISCUSSIONS ...................................................................................30

4.1 Capacity Fading Rates .............................................................................................30

4.2 EIS Analysis .............................................................................................................38

4.3 XRD Analysis ..........................................................................................................41

4.4 Analysis after Second-life Tests ..............................................................................43

4.5 Experiments with 18650 Cells .................................................................................46

5 CONCLUSION ...............................................................................................................50

REFERENCES ..................................................................................................................52

APPENDIX

A SCHEDULE FILES FOR PHEV BATTERY CYCLING FOR 26650 LFP, 26650

NMC AND 18650 LFP BASED BATTERIES ............................................................ 57

B SCHEDULE FILES FOR SECOND-LIFE BATTERY CYCLING FOR 26650 LFP,

26650 NMC AND 18650 LFP BASED BATTERIES ..................................................60

C MODEL AND EXPERIMENTAL VALUES FOR HIGH FREQUENCY

RESISTANCE (R1) AND MODEL VALUES FOR CHARGE TRANSFER

RESISTANCE (R2) ....................................................................................................... 63

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LIST OF TABLES

Table Page

1: Characteristics of Intercalation Cathode Materials [20]…………………………...……..16

2: Voltage Range for the Batteries for PHEV Testing ...................................................... 25

3: Capacity Values with Cycle Number............................................................................ 33

4: Voltage Range for Batteries for Second-Life Testing .................................................. 43

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LIST OF FIGURES

Figure Page

1: Factors in Recent Temperature Change .......................................................................... 2

2: Relating Temperature Rise to Water and Ice Levels ...................................................... 3

3: PHEV Architectures ....................................................................................................... 5

4: Energy and Power Requirements for Different Types of EVs ....................................... 8

5: Ragone Plot for Different Battery Systems .................................................................... 8

6: Electrochemical Processes of an LIB ........................................................................... 10

7: Anode and Cathode Materials for LIBs ........................................................................ 12

8: Shapes of LIBs [19] ...................................................................................................... 13

9: Cylindrical LIB [13] ..................................................................................................... 13

10: Arrhenius Plot of Aging Mechanisms with Temperatures ......................................... 20

11: FUDS Velocity Profile................................................................................................ 22

12: CD Mode Current Profile ........................................................................................... 24

13: Experimental Setup ..................................................................................................... 25

14: Cycling Procedure....................................................................................................... 26

15: Lifetime of an Electric Vehicle Battery after Second-Life Use [34] .......................... 29

16: FUDS Discharge Profiles............................................................................................ 30

17 (a): Capacity Degradation in the 26650 LFP-based Battery after PHEV Cycling ...... 32

17 (b): Capacity Degradation in the 26650 NMC-based Battery after PHEV Cycling ....32

18 (a): Discharge Profiles at the Beginning and End of PHEV Cycling for the 26650

LFP-based Battery ............................................................................................................ 34

18 (b): Activation Loss for the 26650 LFP-based Battery ……………………………...….34

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Figure Page

19 (a): Discharge Profiles at the Beginning and End of PHEV Cycling for the 26650

NMC-based Battery .......................................................................................................... 35

19 (b): Activation Loss for the 26650 NMC-based Battery ……………………………......35

20 (a): Discharge Profiles for the 26650 LFP-based Battery ……………………………....36

20 (b): Discharge Profiles for the 26650 NMC-based Battery ……………………...……..37

21 (a): Differential Voltage Curves for the 26650-LFP based Battery …………………...37

21 (b): Differential Voltage Curves for the 26650 NMC-based Battery …………............38

22: Theoretical Impedance Spectrum in a Nyquist Plot for Li-ion cells ………………….39

23 (a): EIS Patterns for the 26650 LFP-based Battery ..................................................... 40

23 (b): EIS Patterns for the 26650 NMC-based Battery ……………………………………40

24: XRD Patterns for 26650 LFP-based Battery Electrodes Before and After PHEV

Cycling .............................................................................................................................. 41

25: XRD Patterns for 26650 NMC-based Battery Electrodes Before and After PHEV

Cycling .............................................................................................................................. 42

26: Capacity Degradation in the 26650 LFP-based Battery After Second-Life Tests ...... 44

27: Capacity Degradation in the 26650 NMC-based Battery after Second-Life Tests..... 44

28: XRD Analysis of the 26650 LFP-based Battery Cathodes Before and After PHEV

and Second-life Testing ……………………………..………………………………………...45

29: XRD Analysis of the 26650 NMC-based Battery Cathodes Before and After PHEV

and Second-life Testing ……..……...………………………………………………………...46

30: Capacity Degradation in the 18650 LFP-based Battery Before and After PHEV

Cycling ......................................................................................................................................... 47

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Figure Page

31: EIS Plots for 18650 LFP-based Battery ............................................................................ 47

32: Capacity Degradation in the 18650 LFP-based Battery after Second-Life Tests ........ 48

33: XRD Analysis of the 18650 LFP-based Battery Cathodes Before and After PHEV

and Second-life Testing ..............................................................................................................49

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LIST OF ABBREVIATIONS

AC: Alternating Current

CD: Charge Depleting

CO2: Carbon dioxide

CS: Charge Sustaining

GHG: Greenhouse Gases

DOD: Depth of Discharge

IPCC: Intergovernmental Panel on Climate Change

EIS: Electrochemical Impedance Spectroscopy

EOL: End-of-life

EPA: Environmental Protection Agency

EV: Electric Vehicle

FUDS: Federal Urban Driving Schedule

HEV: Hybrid Electric Vehicle

HFR: High Frequency Resistance

HV: High Voltage

ICE: Internal Combustion Engine

LCO: Lithium Cobalt Oxide (LiCoO2)

LFP: Lithium Iron Phosphate (LiFePO4)

LIBs: Lithium-ion Batteries (Li-ion Batteries)

LMO: Lithium Manganese Oxide (LiMnO2)

LTO: Lithium Titanium Oxide (Li14T15O12)

NCA: Lithium Nickel Cobalt Aluminum Oxide

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Ni-Cd: Nickel Cadmium

Ni-MH: Nickel Metal Hydride

NMC: Lithium Nickel Manganese Cobalt Oxide

Pb-Acid: Lead Acid

PE: Polyethylene

PHEV: Plug-in Hybrid Electric Vehicle

PP: Polypropylene

PV: Photovoltaic

PVDF: Polyvinylidene Fluoride

RH: Relative Humidity

SEI: Solid-electrolyte Interface

SoC: State of Charge

USABC: United States Advanced Battery Consortium

XRD: X-ray Diffraction

ZERBA: Sodium Nickel Chloride

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1 INTRODUCTION

1.1 Background and Motivation

Fossil fuels have been the primary source of energy for many decades. Accessible

and cheap availability of these fuels has been the major reason. Recently, we have

observed a trend towards using alternative and renewable sources of energy in the

transportation sector. The reasons behind this shift are the increasing costs of fossil fuels

and the environmental threats of greenhouse gases (GHGs) and criteria air contaminants

(CACs). CACs or criteria pollutants are emitted from sources in transportation, mining

and industrial pollutants, and are majorly generated due to combustion of fossil fuels or

other industrial processes. Carbon monoxide, sulfur oxides, nitrogen oxides and lead are

some of the major types of CACs. As per the Intergovernmental Panel on Climate

Change (IPCC), since 1970, carbon dioxide (CO2) emissions have increased by about

90% with emissions from fossil fuels and industrial processes contributing about 78% of

the total GHG emissions increase [1]. Also, environmental models, shown in Figure 1,

which only account for effects of natural processes are not able to explain global

warming, whereas the models which use both natural and human processes are able to

explain this warming [2].

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Figure 1: Factors in recent temperature change [2]

As shown in Figure 2, the IPCC assessment states that during the late 20th century

and the early 21st century, the global average temperature has increased due an increase

in the anthropogenic GHG concentrations. Mountain glaciers and snow have declined,

thereby causing sea level rise at an average rate of 1.8 mm per year from 1961 to 2003.

Over the same time, the snow cover in the Northern hemisphere has decreased.

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Figure 2: Relating temperature rise to water and ice levels

In 2012, the US consumed approximately 366 million gallons of gasoline per day,

accounting for 66% of US transportation energy and 47% of US petroleum consumption.

Electric Vehicles (EVs) can potentially reduce the US gasoline consumption [3]. As per

an EPA report, in 2014, transportation accounted for 31% of the total CO2 emissions in

the United States [4]. Climate change is being considered as a global crisis and countries

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are trying to reduce CO2 emissions by shifting to cleaner of fuels. Hence, electric vehicles

(plug-in hybrid electric vehicles (PHEVs) and electric vehicles (EVs)) are being

developed and commercialized to reduce GHG emissions. EVs competed for market

dominance at the beginning of personal vehicle sales in the early 20th century, but the

advantages of the internal combustion engine (ICE), namely energy-dense fuel and more

power, meant that EV development was sporadic and diffused until the 1990’s when

General Motors (GM) released its EV-1 and due to California’s Zero-Emissions Vehicle

(ZEV) mandate. One of the major component of EVs is the energy storage system (ESS)

and improving the battery technology can have a potential impact on commercialization

of EVs and help reduce the demand for fossil fuels. For many EVs, the ESS is the most

expensive component of the vehicle, and hence it is important for the battery to last the

life of the EV [3]. According to the battery industry, the end-of-life (EOL) is the point

where the battery’s energy storage capacity drops by 20% of its initial value of when the

impedance increases by 30%, whichever comes first [5].

A hybrid electric vehicle (HEV) is a vehicle with a combination of the

conventional ICE and an electric propulsion system. ICEs convert energy from

hydrocarbons to mechanical energy using combustion processes, while batteries operate

by converting the chemical energy stored in its materials to mechanical energy. There are

various types HEVs available in the market, in increasing electrification: micro hybrid,

mild hybrid, full hybrid and PHEVs [6]. In all HEVs, the electric powertrain performance

is dependent on the cycle life and power fading characteristics of the battery.

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As compared to other electric-drive and conventional gasoline vehicles, PHEVs

have the advantage of fuel flexibility. The vehicle can be powered with electricity from

the electrical power grid, gasoline or both. In a PHEV, as in an HEV, this is normally

accomplished using an electric motor and an ICE. As per [7], there are three major PHEV

architectures, which are series, parallel and power-split architectures, and they can be

further divided into sub-categories, and this is shown in Figure 3 [7]. In any PHEV

architecture, the ESS plays a very important role in storing the energy from the electrical

grid, the engine, and from regenerative braking, and in passing the energy back and forth

with the electric motor. Hence, the commercial success of PHEVs depends on the

development and use of appropriate battery technologies [8]. The PHEV technology is

more advanced than HEV technology due to its ability to drive longer ranges using only

electric power, because of smarter energy management algorithms and the convenience

of recharging the ESS with grid electricity [9].

Figure 3: PHEV Architectures [7]

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According to United States Advanced Battery Consortium (USABC), in order to

be competitive with the conventional ICE-based vehicles, a PHEV is targeted to have 15

years of calendar life, 5000 cycles of charge-depleting (CD) mode and 300,000 cycles of

charge-sustaining (CS) mode cycle life by 2018 [10]. This will mainly depend on the

advancements in the battery technology used in these vehicles.

Batteries are the most common electrochemical systems used to store energy for

automotive applications. A battery consists of an anode and a cathode, connected via an

external circuit, and an electrolyte capable of transferring ions between the anode and the

cathode. Batteries used for automotive applications must have favorable characteristics in

the following metrics [6]:

1. Specific Power (units of W·kg-1)

2. Specific Energy (units of Wh·kg-1)

3. Power Density (units of W·L-)

4. Energy Density (units of Wh·L-1)

5. Energy Efficiency – The ratio of discharged energy to the charged energy

6. Calendar Lifetime – Battery lifetime until failure is the battery is not used

7. Cycle Lifetime - The number of cycles the battery can perform before it cannot be

used in its application

8. Cost

9. Safety from thermal events

10. Resilience to varying ambient temperatures

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Lead acid (Pb-acid) batteries can be used for energy storage due to their

durability, low cost, inherent safety and temperature tolerance. But, the specific energy

and power of the battery is low because of the weight of lead, and its used as a current

collector. Hence, as seen in Figure 4, because of their low energy density values, Pb-acid

batteries can be used in micro and mild HEVs. Also, Pb-acid batteries have cycle-life

limitations when operated at a high charge and discharge rate, which is typical in HEVs

[11]. Even after these disadvantages, EVs still have a small lead-acid battery along with a

high voltage (HV) battery, to run the auxiliary accessories and to serve in case of an

accident when the HV battery is disconnected from the system [6]. Most alkaline

batteries are nickel based with an alkaline solution as the electrolyte. Nickel-zinc

batteries suffer from short lifetime due to dendrite growth. Nickel-cadmium (Ni-Cd)

batteries have higher energy and power densities compared to lead-acid batteries, but

disposal of cadmium (toxic material) is a problem. Nickel-metal hydride (Ni-MH)

batteries have been developed without the toxic cadmium, with energy and power

densities like Ni-Cd batteries. These Ni-MH batteries are composed of nickel hydroxide

on the positive electrode and an alloy or a metal on the negative electrode. Ni-MH

batteries were popular among HEV powertrains because of their high voltage, high

gravimetric energy and power density, tolerance to overcharge and overdischarge and

good thermal properties [11]; however recent HEVs including the market-dominator

Toyota Prius, has transitioned to Li-ion batteries. The sodium-nickel chloride battery

(NaNiCl2) battery, also known as the Zero Emission Battery Research Activities

(ZEBRA), has liquid sodium at a high operating temperature of around 300 ⁰C, with a

solid ceramic electrolyte. The main disadvantage of the ZEBRA battery is the high

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operating temperature, which required good isolation, causes a high self-discharge of 10-

15%, and requires a long start-up time. Further, the process of cooling down to ambient

temperature leads to breaking of the ceramic electrolyte due to thermomechanical stresses

[6]. Since their discovery, Lithium-ion batteries (LIBs) have been developed constantly

over the past 25 years. The energy density of early LIBs was around 200 Wh·L-1, twice as

compared to the competing systems at the time, nickel cadmium and nickel-metal hydride

batteries [12].

Figure 4: Energy and Power requirements for different types of EVs

Figure 5: Ragone Plot for different battery systems

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As seen in Figure 5, LIBs can achieve the highest specific energy and match

supercapacitors for highest power. LIBs with very long lifetimes and high safety

characteristics can be made using lithium titanate (LTO) for the negative active material

instead of carbon, but is results in significant drop in energy density. Another advantage

of LIBs is the high capacity utilization even at high current rates. Hence, these batteries

are suitable for high current application such as EVs. High-power batteries are made up

of very thin active material layers so that relative volumes of current collectors,

separators, and electrolytes are high compared to the volume of the active material. But,

to get high energy density from high-power cells, these cells need more material resulting

in higher costs [6].

The use of LIBs has found wide acceptance for energy storage applications due to

their better characteristics. LIBs are cells that use lithium intercalation compounds as the

positive and negative materials. These batteries are also called as “rocking-chair”

batteries as the Li+ rock back and forth between the positive and negative electrodes as

the cell is charged and discharged. The positive electrode material is generally a layered

metal oxide structure such as lithium manganese oxide (LiMnO2) or lithium cobalt oxide

(LiCoO2), on a current collector of aluminum foil. The negative electrode is typically a

graphitic carbon (layered structure) on a copper current collector. The layered structure is

essential because during the charge/discharge process, lithium ions are inserted or

extracted from the space between the atomic layers within the active materials. This can

be seen in Figure 6 [13]. Li ions travel from anode to cathode releasing electrons to the

external circuit by oxidizing the anode during discharge, as shown in Eq. (1). Eq. (2)

shows the charging process where Li ions travel from cathode to anode and electron is

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transferred from the external circuit to reduce the cathode. The overall reaction is shown

in Eq. (3).

Discharge Reaction:

LixC Lix-yC + yLi+ + ye- (1)

Charge Reaction:

LiyCoO2 + yLi+ + ye- LiCoO2 (2)

Overall Reaction:

LiyCoO2 + LixC Lix-yC + LiCoO2 (3)

Figure 6: Electrochemical processes of an LIB

The electrochemically active electrode materials in LIB are a Li metal oxide for

the positive electrode and lithiated carbon for the negative electrode [14]. Recently,

researchers have developed LIBs using lithium iron phosphate (LiFePO4,LFP) based

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positive electrodes and LTO- and silicon-based negative electrodes [15][16]. These

materials are adhered to a metal foil current collector with a binder, usually

polyvinylidene fluoride (PVDF) or the copolymer polyvinylidene fluoride-

hexafluoropropylene (PVDF-HFP), and carbon black or graphite as the conductor. The

positive and negative electrode are separated by a polyethylene or polypropylene film, or

a layer of gel-polymer electrolyte in polymer batteries or a solid electrolyte in case of

solid state batteries [14].

Rechargeable (Secondary) LIBs have many advantages such as high energy and

power density, higher voltage, flat discharge characteristics and a longer shelf life [14].

Secondary LIBs generally consist of electrode materials classified by type of reactions

such as intercalation, insertion, conversion and formation reactions. The most common

anode material for LIBs is graphite because of its strong covalent bonding within a layer

and weak Van der Waals interactions between layers allowing for easy insertion and

removal of Li+ ions. The lithium intercalation reaction must be reversible for the battery

to retain its characteristics. Another highly efficient material for LIB anode is LTO. In

LTO anodes, the Li+ ion intercalation reaction is highly reversible, but the capacity and

voltage obtained are lower than graphite anode-based LIBs. LTO electrodes are very fast

and demonstrate excellent low temperature performance, and exhibit very high cycle life

[17]. Other types of anode materials with transition metal oxide nanoparticles such as

cobalt oxide (CoO), copper oxide (CuO) and iron oxide (Fe2O3) undergo conversion

reactions in the presence of Li ions as per Eq. (4) given below.

nano-MO + 2Li+ + 2e- ⇌ nano-M + Li2O (4)

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The first cathode materials tested for Li-ion batteries included LiCoO2 and

LiNiO2 (layered compounds) and LiMn2O4 (spinel structure). Because of its stability,

good rate capability and reasonable safety, LiCoO2 was initially considered as the main

cathode material for Li-ion batteries. LiFePO4, developed in the 1990s [15] has excellent

rate capability, high practical energy density (~165 mAh·g-1) and excellent safety

characteristics. Two new layered cathode materials developed recently are Li(NiCoAl)O2

and Li(NiMnCo)O2 [18][19]. Figure 7 shows the different anode and cathode materials

used in LIBs, along with the potential obtained using these materials.

Figure 7: Anode and Cathode Materials for LIBs

Battery cells appear in various outer shapes. The shapes can be divided into

cylindrical and prismatic categories, and the prismatic cells can be further categorized as

prismatic hard-case cell and prismatic pouch cells. The inner structure and electrode-

separator compound is different in terms of the material dimensions and the

manufacturing process used. Figure 8 shows the different types of cells [20]. Cylindrical

batteries consist of anode and cathode separated by a microporous separator made from

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polyethylene (PE) or polypropylene (PP), as depicted in Figure 9. Cathodes consist of

aluminum foil coated with active material on both sides and the anode is made up of

copper foil with carbon/graphite active materials on both sides. Aluminum (Al) and

Copper (Cu) act as current collectors during the charging and discharging reactions.

Figure 8: Shapes of LIBs [20]

Figure 9: Cylindrical LIB [14]

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1.2 Objective of the Thesis

The main objective of the thesis is to compare the capacity degradation of

different Li-ion battery chemistries for use in PHEVs. It was desired to test these batteries

in simulated Arizona, USA weather conditions; and hence the testing was performed at

high temperature and low humidity. Another aim was to analyze the electrode materials

to understand the structural and morphological changes in the materials, which lead to a

decrease in capacity. It was also desired to analyze the possibility of using these retired

Li-ion batteries in second-life applications.

1.3 Organization of the Thesis

This thesis document is organized in the following order to provide an in-depth

understanding of the work.

a. Chapter One introduces the thesis and includes background information and the

scope of the proposed work. It also describes how the document is organized, for

understanding the flow of the thesis.

b. Chapter Two gives a comprehensive literature review of the different batteries

used in PHEVs, and the details about use of retired Li-ion batteries in second-life

applications.

c. Chapter Three describes the experimental procedures and test conditions used for

performing battery cycle life tests. It also discusses the other tests used for

analyzing the battery materials.

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d. Chapter Four discusses the results of this thesis work using various tools such as

EIS and XRD.

e. Chapter Five presents the conclusion of the research performed in this thesis. In

addition, it also provides recommendations for future work.

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2 LITERATURE REVIEW

An extensive literature review was carried out to investigate the cycle life

characteristics of different LIB chemistries under different conditions. The reasons for

choosing LIBs with LFP and NMC cathodes are discussed with examples. Also, previous

works on these battery chemistries are reviewed.

Currently, EVs use Li-ion batteries due to a superior mix of power and energy

characteristics. However, battery characteristics such as power, energy, safety and life

can differ among Li-ion batteries [7]. The various types of intercalation cathode

materials studied for Li-ion batteries can be classified as layered, spinel, olivine and

tavorite materials. Table 1 [21] summarizes the electrochemical properties of these

different types of materials.

Table 1: Characteristics of Intercalation cathode materials [21]

Crystal

Structure

Compound Specific Capacity (mAh·g1)

(theoretical/experimental)

Average

Voltage

(V)

Level of

development

Layered LiTiS2 225/210 1.9 Commercialized

LiCoO2 274/148 3.8 Commercialized

Li(NiMnCo)O2 280/160 3.7 Commercialized

Spinel LiMn2O4 148/120 4.1 Commercialized

LiCo2O4 142/84 4.0 Research

Olivine LiFePO4 170/165 3.4 Commercialized

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LiCoPO4 167/125 4.2 Research

Tavorite LiFeSO4F 151/120 3.7 Research

LiVPO4F 156/129 4.2 Research

The LFP based Li-ion batteries are extensively tested in public literature due to its

safety and longer life characteristics, although it has lower energy densities than some

other Li-ion chemistries [10]. LFP shows an excellent flat discharge voltage of 3.5 V vs.

Li (the discharge voltage remains constant at ~3.5 V throughout the discharge) [14].

Lithium insertion and extraction in LiFePO4 cathode involves a first-order phase

transition between the FePO4 and LiFePO4 phases. Both these phases have low electronic

conductivity, and low rate of Li ion diffusion, thus limiting the charge and discharge

current density [15]. These cause lower capacity and power capability in LFP-based

batteries in comparison to other LIB chemistries. LFP material has low electronic

conductivity (10-9 – 10-10 S·cm-1), but the conductivity can be increased by carbon

coating and by decreasing the particle size [22]. In particular, carbon-coated LiFePO4 (c-

LiFePO4) cathode has achieved high capacity (90% or higher of 170 mAh·g-1) and

excellent cycling performance [23].

Dubarry et al. [24] studied fading mechanisms of LFP-based batteries at 25 and

60 ⁰C by incremental capacity analysis, and observed that the capacity degradation at

higher temperatures can be attributed to the loss of active materials or loss of Li

inventory, because of electrochemical milling. This research group also concluded that

the possible mechanisms cannot be distinguished definitively without additional

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experiments. In another study on commercial Li-ion batteries with LFP cathodes, Liu et

al. [25] cycled cells at different temperatures (-30 to 60 ⁰C), depth of discharges (DODs)

(10 to 90%) and discharge rates, to analyze the capacity and resistance characteristics of

the batteries with cycling. The results revealed that the capacity of the batteries reduced

with cycling, while no appreciable increase in the resistance was observed. Based on the

results, they concluded that the capacity loss is directly related to the loss of Li, which is

caused by the instability of the carbon electrode/electrolyte interface.

Safari et al. [26] examined the aging of commercial graphite/LFP cell under

cycling and storage conditions at 25 and 45 ⁰C, and the comparison of the cells aged at

the same temperature revealed that the cells under cycling lose more capacity then those

under storage. Aging was very temperature sensitive, and the cells aged at 45 ⁰ C showed

up to four times more capacity loss as compared to the cells aged at 25 ⁰ C under same

cycling procedures. The study conclusions were in good agreement with the literature

proving that aging mechanism is dominated by Li loss, while slight loss of graphite active

material was seen near the end of aging period for cycling at 45 ⁰ C.

Zhang et al. [23] also reported capacity and power fading characteristics in

prismatic LIBs with LFP cathodes at various temperatures under constant

charge/discharge cycling and FUDS drive profiles. After 600 cycles, the capacity fade is

14.3% at 45 ⁰C and 25.8% at -10 ⁰C. At 45 ⁰C, there is little power fade, while 77.2%

power fading is seen at -10 ⁰C. The results also prove that the capacity and power fade

becomes higher at lower temperatures due to larger increase in cell resistance. The loss of

cyclable lithium is the main reason for capacity fading, and the increased cell interfacial

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resistance due to the growth of solid-electrolyte interface SEI layer on anode and the

increased electrolyte resistance are reported as the main reasons for power fade, leading

to poor discharge pulse power capability at low temperatures.

The layered Li(NiMnCo)O2 (NMC) compounds with a hexagonal structure have

received great attention for use in LIBs due to high voltage, better stability, higher

reversible capacity and milder stability at charged state. The reversible capacity was

found to be 200 mAh g-1 in the cut-off range of 2.8 – 4.6 V, while it was 160 mAh g-1 in

2.5 – 4.4 V. The main problem of the material is the cation mixing between nickel and

lithium ions, since the ionic radius of Ni+2 (0.69 Å) is close to that of Li+ (0.76 Å), which

results in deteriorating the electrochemical performance [27].

Cylindrical cells are in two major categories based on their geometry, 18650 cells

and 26650 cells. A recent article on 18650 LIBs with NMC/LMO blend cathodes

examined the aging behavior of cycled cells tested in the range of -20 to 70 ⁰C. The cells

were cycled at 1C rate till the capacity falls below 80% of the initial capacity. The

Arrhenius plots indicate two different aging mechanisms for the temperature ranges -20

to 25 ⁰C and 25 to 70 ⁰C. Below 25 ⁰C, the aging rates increase with decreasing

temperature, while above 25 ⁰C aging is accelerated with increasing temperature. The

dominating aging mechanism for T < 25 ⁰C was found to be lithium plating, while for T >

25 ⁰C, the cathodes showed degeneration and the anodes were covered by SEI layers,

which is clearly seen in Figure 10 [28]. Bloom et al. [29] studied NMC positive electrode

based Li-ion cells with and without LiC2O4BF2 electrolyte additive at 60% SoC. The

analysis of C/25 capacity data showed that the C/25 capacity decreases with the square

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root of time, and the additive slowed down the rate of capacity decrease. Differential

voltage (dV/dQ) analysis indicated that the lithium-capacity-consuming side reaction

occurring at the negative electrode caused the capacity decrease, which was like cells

with NCA.

Figure 10: Arrhenius plot of aging mechanisms with temperatures [28]

Käbitz et al. [30] provided a cycle and calendar life aging study of graphite/NMC

Li-ion pouch cells. SEI formation on anode was expected to be the main aging

mechanism for calendar life tests, causing a square root of time shaped aging behavior.

The aging behavior during cycling was reported to be dependent on temperature and

cycle depth. The resistance for cycle aging depends on the interaction of volume increase

and deposition reactions on the anode side. The analysis also shows distinct capacity loss

for the cathode material at high SoC and high temperature, where SoC has a higher

impact than temperature.

The final part of this section deals with some examples on research related to

second-life testing of retired PHEV batteries. Typically, recycling is considered as the

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default EOL application for electric vehicle batteries. But, these batteries still have

around 70-80% of their original storage capacity at the point of retirement [31]. The

modeling based study by Sathre et al. [31] concluded that second-life batteries in

California may deliver around 15 TWh per year in 2050, which will roughly be 5% of the

total electricity use in California in the same year. A model developed using several

homes in Davis, California with second-life battery storage and PV arrays determined

that the peak electricity demand could be reduced by 70%, while exporting less than 5%

of the total energy generated from the PV array [32]. The real-world demonstrations

revealed that a 10 kWh battery and 2.16 kW PV array are capable of providing the

requirements for energy storage with 81% reduction of imported energy from the grid.

Pouch format NMC/C based Li-ion cells were tested for mitigating the variability of a

grid-scale PV power plant. Capacity tests at C/3 rate and Hybrid Pulse Power Capability

(HPCC) tests were performed, and based on the results, lifetime of more than five years

can be expected [33].

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3 METHODOLOGY

3.1 PHEV Drive Profile

In this study, batteries are subjected to a typical Federal Urban Driving Schedule

(FUDS) driving pattern that was developed as per the EPA [34]. FUDS represents a city

drive profile for light duty vehicles, having frequent stops and starts, thus including

sudden acceleration and braking. The FUDS drive cycle runs for 1369 s with an average

speed of 19.59 miles per hour (mph), covering 7.45 miles. This is represented in Figure

11. The maximum speed during the FUDS drive cycle is 56.7 mph.

Figure 11: FUDS velocity profile

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3.2 Current Profile for CD Mode

Hybrid powertrains can run mainly in charge sustaining (CS) and charge

depleting (CD) modes, based on the state of charge (SoC) and torque requirements of the

batteries. In CD mode, the PHEV can operate in blended mode where the ESS is

depleting and the ICE is on. In most CD mode operated PHEVs, the batteries are

discharged from 100% SoC to 30% SoC, thereby accelerating the battery degradation

rate, and hence we chose to do the experiments using CD mode discharge. Figure 12

represents the CD mode current profile based on the CD mode velocity profile as in

Figure 11.The detailed procedure to derive this profile was studied and published by

Peterson et al. [35]. If the acceleration is sufficiently negative (indicating braking or if the

car is slowed down just by lifting the foot off the accelerator), then regenerative braking

occurs, and regenerative value will therefore be negative and indicating battery charging.

Figure 11 represents the CD mode current profile derived based on acceleration and

deceleration given by Eq. (5), (6) and (7).

𝐼𝑑𝑖𝑠𝑐ℎ𝑎𝑟𝑔𝑒 = 𝑑𝑣

𝑑𝑡 (5)

𝐼𝑐ℎ𝑎𝑟𝑔𝑒 =(−𝑑𝑣

𝑑𝑡) ∗ 0.07 (6)

𝐹 = 𝑚 ∗ 𝑎, 𝑤ℎ𝑒𝑟𝑒 (𝑎 =𝑑𝑣

𝑑𝑡) (7)

The force needed to propel the vehicle is given by Eq. (7), and the force due to

rolling resistance of the vehicle and the drag force is neglected considering an ideal case.

The mass of the vehicle is considered as 1588 kg, as in the reference [35]. Deceleration

and braking energy can be captured, and in the FUDS cycle, it was found that 7% of the

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energy can be gained through regenerative energy capture. In Figure 12, positive and

negative current correspond to charge discharge, respectively. The current was scaled to

+20 A and -20 A for charge and discharge, respectively.

Figure 12: CD Mode Current Profile

3.3 Battery Cycle-life Tests

The current profile obtained using the FUDS velocity profiles was used to

simulate the discharge of the battery packs. As previously discussed, 26650 Li-ion battery

packs with LFP and NMC cathodes were used, with capacity of 5 Ah and 8 Ah,

respectively. The charge and discharge cycle-life tests of the battery were done using the

Arbin BT2000 series Battery Cycler with a current range of -20 to +20 A. The

experimental setup can be seen in Figure 13. Two sets of battery packs were subjected to

PHEV current loads under CD mode at elevated temperature (50 ⁰C), and a humidity

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level of less than 10% RH. The battery cycling protocol (for both LFP and NMC-based

batteries) was automatically controlled using the schedule file of the Arbin Battery

Testing system, as shown in Appendix A. The charge and discharge voltage cut-off

values for the batteries were maintained as shown in Table 2.

Table 2: Voltage range for batteries for PHEV testing

Battery Type

(Rated Capacity)

Charge Cut-Off Voltage

(V)

Discharge Cut-Off Voltage

(V)

26650 LFP (5 Ah) 3.6 2.0

26650 NMC (8 Ah) 4.2 2.6

Figure 13: Experimental setup

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Figure 14: Cycling procedure

The program is pictorially represented in Figure 14. The following steps were

followed in the program used in the Arbin Battery Testing system:

1. Battery packs were completely charged at 1C rate up to the charge cut-off voltage.

2. After a rest time of 5 minutes, the batteries were discharged using the FUDS

current profiles derived from the velocity profiles.

3. The batteries were then charged up to the charge cut-off voltage at 1C rate, and

then discharged using the FUDS current profiles. This was repeated 4 times to

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ensure that the batteries are completely discharged to the discharge cut-off voltage

value.

4. Then, the batteries were discharged at 1C rate until the discharge cut-off voltage.

5. Finally, the batteries were charged up to the charge cut-off voltage at 1C rate, for

the impedance measurements.

The capacity and impedance characterization of the battery packs was done at

100% SOC. In the battery cycling experiments, four FUDS cycles along with one

constant charge and constant discharge cycle at 1C rate is defined as one cycle.

3.4 EIS and XRD Analysis

3.4.1 EIS Analysis

Electrochemical Impedance Spectroscopy measures the impedance of a system

over a range of frequencies, and the frequency response of the systems reveals the

properties of the system. Impedance is the opposition (resistance) to flow of alternating

current (AC) in systems. EIS is a widely used non-invasive technique used to understand

behavior of an electrochemical cell at SoCs and in different environmental conditions.

EIS measurements were carried out with a frequency range from 1kHz to 10 mHz, with a

voltage amplitude of 50 mV using Parstat 2273 Galvanostat/ Potentiostat. The batteries

were at maintained at 100% SoC for the EIS tests, and were subjected to 10 mins of rest

time after the cycling tests in the Arbin Battery Cycler.

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3.4.2 XRD Analysis

For materials characterization tests using XRD, the batteries were completely

discharged and the disassembled. After taking off the canister, the cathode and anode

materials coated on aluminum and copper foils respectively, were collected using plastic

knives. The cathode active material was rinsed twice using propylene carbonate (PC)

solvent, followed by sonication for 10 minutes to dissolve and eliminate the electrolyte

salts present in the material. The samples were then washed in ethanol to help accelerate

the evaporation of the solvents. Later, the samples were vacuum dried at 50 ⁰C overnight

for XRD analysis.

XRD analysis on the powdered samples was carried out using a Bruker

diffractometer using Cu anode (Cu-kα radiation of 1.54Å) from 20 to 80⁰ (2 theta) at 0.02⁰

per second, and the analysis was done using Highscore Plus.

3.5 Equivalent Circuit Modeling

EIS measurements help us elucidate the high-frequency resistance (HFR) values.

Equivalent circuit modeling is necessary to provide information on other circuit elements.

Hence, an equivalent circuit is developed using EC Lab to model the circuit behavior

using charge transfer resistance values.

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3.6 Second-life Testing

The reuse of the batteries in electric vehicles for second-use applications

following the end of their use in the vehicle may have the potential to offset the high

initial cost of the batteries today. The life of a battery can be utilized as illustrated in

Figure 15. There are several grid-related applications where the second-life use of electric

vehicle batteries is possible such as load levelling, energy storage for renewable energy

technologies like solar and wind energy, area regulation, peak load reduction and other

such commercial and residential needs [34].

Figure 15: Possible lifetime sequence of electric vehicle batteries [34]

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For second-life testing, the batteries were cycled at a lower C rate. A constant C/5

rate charge/discharge cycle was used to cycle the batteries using the Arbin Battery

Testing system, as shown in Appendix B.

4 RESULTS AND DISCUSSIONS

4.1 Capacity Fading Rates

The general aim of the research is to compare the capacity fading rates of Li-ion

batteries with LFP and NMC cathodes. Hence, this section deals with the capacity

degradation of both the battery packs under CD mode current profiles.

Figure 16: FUDS Discharge Profiles

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Figure 16 shows the discharge profiles of both the batteries under CD mode. As

per Table 2, the voltage ranges for LFP and NMC-based cells are 3.6 – 2 V and 4.2 – 2.6

V, respectively. As seen in Figure 16, it takes nearly 120 minutes for the LFP-based

battery pack to discharge to 2 V while it takes about 160 minutes for the NMC-based

battery pack to discharge to 2.6 V. It is also very clearly seen that the voltage profile for

LFP-based battery pack is flatter compared to the NMC-based battery pack. Also, in both

the voltage profiles, there is a sharp drop in voltage at the beginning and at the end,

although the latter is more pronounced. Accelerated cycling tests showed different

capacity fading characteristics in both the battery systems.

Figures 17 (a) and (b) show the cyclability data for the batteries tested under CD

mode at elevated temperature (50 ⁰C) and relative humidity (RH) values below 10%.

Both the battery packs underwent 800 cycles, and the tests were carried out continuously

for 6 months.

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Figure 17 (a): Capacity degradation in the 26650 LFP-based battery after PHEV cycling

Figure 17 (b): Capacity degradation in the 26650 NMC-based battery after PHEV cycling

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Table 3 displays the capacity values for both the batteries after every 200 cycles.

Capacity drop per 100 cycles at high temperature was approximately 1 and 2% for CD

mode in LFP and NMC batteries, respectively. After 800 cycles, around 8% capacity

degradation was seen in LFP-based Li-ion cells, and 16% degradation was observed in

NMC-based cells. It is evident that the capacity fading rate is more dominant in NMC-

based cells compared to LFP-based cells.

Table 3: Capacity values with Cycle Number

Cycle Number 25 200 400 600 800

26650 LFP Battery Capacity (Ah) 5.09 4.97 4.87 4.79 4.70

26650 NMC Battery Capacity (Ah) 6.84 6.57 6.27 5.99 5.73

Figure 18 (a) shows the discharge voltage profiles for the LFP based battery at the

beginning and end of the cycling process. The curves nearly overlap each other initially,

and there is a difference in the voltage values with time at the end of the discharge cycle.

The initial voltage drop (activation polarization loss) for all the cycles is seen in Figure

18 (b), where we can see that the voltage drop remains nearly constant with cycling. This

indicates that there is very little or no activation polarization loss involved in case of the

LFP-based cells. Similarly, Figure 19 (a) shows the initial and final discharge voltage

curves for the NMC-based battery. And the initial voltage drop (activation polarization

loss) is shown in Figure 19 (b). There is an increase in the voltage drop with cycling in

this case, indicating that activation polarization losses are involved.

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Figure 18 (a): Discharge profiles at the beginning and end of PHEV cycling for the 26650 LFP-

based battery

Figure 18 (b): Activation loss for the 26650 LFP-based battery

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Figure 19 (a): Discharge profiles at the beginning and end of PHEV cycling for the 26650 NMC-

based battery

Figure 19 (b): Activation loss for the 26650 NMC-based battery

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Figures 20 (a) and 21 (a) compared the discharge performance after different

cycle numbers for the LFP and NMC-based batteries, respectively. Also, differential

voltage (dV/dQ) values were calculated based on the discharge performance. Figure 20

(b) and 21 (b) show dV/dQ curves for LFP and NMC-based the cells, and the curves shift

towards the left in comparison with that of the initial performance, due to loss of lithium

ions. Hence, as per references [24] and [29] it can be summarized that the capacity fading

mechanism in both the batteries is loss of lithium inventory with different fading rates.

Figure 20 (a): Discharge profiles for the 26650 LFP-based battery

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Figure 20 (b): Differential voltage curves for the 26650 LFP-based battery

Figure 21 (a): Discharge profiles for the 26650 NMC-based battery

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Figure 21 (b): Differential voltage curves for the 26650 NMC-based battery

4.2 EIS Analysis

Electrochemical Impedance Spectroscopy (EIS) analysis is one of the most widely

used in situ techniques for understanding the impedance response of electrochemical

systems. It uses an AC signal to probe the impedance characteristics of a cell, by

scanning the signal over a range of frequencies to generate an impedance spectrum.

Theoretically, impedance spectra of LIBs consist of an inductive tail at high frequencies

(section 1), an intercept with Zre axis (section 2) (high frequency resistance, HFR) or the

ohmic resistance (R1) which represents the summation of all the resistances because of

electrolyte, current collectors, electrodes and connections. The semi-circular arcs (section

3 and 4) in the mid frequency range can be attributed to the SEI layer and the charge

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transfer resistance (R2) the electrode-electrolyte resistance. Also, the tangential line

(section 5) in the EIS spectra at lower frequency is due to the diffusion processes between

the electrodes [37]–[39]. This is clearly seen in Figure 22.

Figure 22: Theoretical Impedance Spectrum in a Nyquist plot for Li-ion cells

EIS analysis revealed an increase in electrolyte resistance with cycling due to loss

of lithium ions utilized in the formation of SEI layer. Figures 23 (a) and (b) show the

impedance spectra for both the battery packs cycled at room temperature. All the

impedance measurements are carried at 100% SoC. It is seen that the patterns show an

inductive tail at high frequency, a semicircular arc and a tangential sloped line at mid and

low frequency, respectively. The ohmic resistance (high frequency resistance, HFR) for

the batteries increases with increasing cycle number, which is represented by the

intercepts on the Zre axis. Over 800 cycles, the HFR increases in both LFP and NMC

based batteries by 53% and 18%, respectively. Further, EC-lab was used to develop

equivalent circuit models. The correct fit was achieved on 5000 iterations with R2 values

higher than 0.9. The equivalent circuit consists of an inductor (L1), resistor (R1), capacitor

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(C2), another resistance (R2) and a Warburg impedance element (W3). On cycling, the R1

and R2 values are found to increase, but there is no trend in the other circuit elements, as

shown in Appendix C. It is important to note that there is a difference between the

theoretical and measured impedance patterns. This is because impedance patterns depend

highly on temperature, SoC and time of measurement. The ohmic resistance decreases

with an increase in temperature, as the Li+ ion conductivity of the electrolyte increases

with increasing temperature. The cell resistance is also found to increase with cycling at

higher temperatures due to loss of active materials leading to formation of SEI layer on

the anode. This can also be due to evaporation of the electrolyte at higher temperatures

[37].

Figure 23 (a): EIS patterns for the 26650 LFP-based battery

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Figure 23 (b): EIS patterns for the 26650 NMC-based battery

4.3 XRD Analysis

Figures 24 and 25 show XRD patterns for fresh (uncycled) and cycled cathode

materials for LFP and NMC based batteries, respectively. In Figure 24, sharp, intense

peaks are observed for the triphylite phase (LiFePO4 – ICDD Card # 01-072-7845), and

no heterosite phase peaks (FePO4 – ICDD Card # 00-029-0715) were observed for the

LFP-based cathode materials. Maximum intensity peak for LiFePO4 was at 2θ = (35.5 –

36.0⁰) for both the samples. The characteristic LFP sample had miller index (hkl) values

of (311) and was similar to the ones represented by Padhi et al. [15]. In Figure 25, the

XRD patterns for cathode samples of the NMC-based battery are seen. Both the fresh and

cycled cathode materials show intense peaks of Li(NiMnCo)O2 (ICDD Card # 00-056-

0147) in the range 2θ = (44.4 – 44.8⁰).

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Figure 24: XRD patterns for the 26650 LFP-based battery electrodes before and after PHEV cycling

Figure 25: XRD patterns for the 26650 NMC-based battery electrodes before and after PHEV cycling

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This analysis reveals that there is no significant change in the phase structure of

the battery electrode materials after 800 PHEV cycles. Further, these batteries are used

for second-life analysis by performing additional charge/discharge cycles as described in

Section 3.6.

4.4 Analysis after Second-life Tests

After PHEV cycling was carried out, one of the cell out of the battery pack was

used for materials characterization tests, and the other cell was used for second-life

testing. The voltage range and the capacity values for the cells is shown in Table 4. Under

a constant charge/ discharge cycling protocol (C/5 rate), the capacity degradation in the

LFP-based battery was ~4.9% after 200 cycles, while ~4.4% degradation was found in

the NMC-based battery after 205 cycles. Figures 26 and 27 show the capacity

degradation in the LFP and NMC-based cells after second-life tests, and it is interesting

to note that there is a higher decrease in capacity in the LFP-based cells as compared to

the NMC based cells.

Table 4: Voltage range for the batteries for second-life testing

Battery Type

(Rated Capacity)

Charge Cut-Off Voltage

(V)

Discharge Cut-Off Voltage

(V)

26650 LFP (2.5 Ah) 3.4 3.0

26650 NMC (4 Ah) 4.2 3.3

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Figure 26: Capacity degradation in the 26650 LFP-based battery after Second-life tests

Figure 27: Capacity degradation in the 26650 NMC-based batteries after Second-life tests

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Also, XRD analysis done after 200 cycles, to understand the phase changes in the

electrode materials after second-life cycling tests did not reveal any significant change in

phases of both LiFePO4 and Li(Ni-Mn-Co)O2 materials. This can be clearly seen from the

XRD patterns for LFP and NMC-based battery cathodes, in Figure 28 and 29,

respectively.

Figure 28: XRD analysis of LFP-based battery cathodes before and after PHEV and Second-life tests

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Figure 29: XRD analysis of NMC-based battery cathodes before and after PHEV and Second-life tests

4.5 Experiments with 18650 Cells

Apart from testing 26650 cells, a similar cycling procedure was used to test 18650

Li-ion cells (LFP cathode material), with rated capacity of 4.4 Ah using a discharge

current of 30 A. During the research work done last year, these cells were tested at 30 A,

and hence they show a significantly lower capacity value as compared to the rated

capacity value. Figures 30 and 31 show the capacity and EIS plots for these 18650 LFP-

based cells, respectively. As seen in the Figure 30, around 6.5% decrease in capacity is

seen from the initial value after 1200 cycles.

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Figure 30: Capacity degradation in the 18650 LFP-based battery after PHEV cycling

Figure 31: EIS plots for the 18650 LFP-based battery

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Also, Second-life cycling tests on these batteries, with rated capacity of 2.2 Ah

at C/5 rate reduced the capacity by 3.4% after 215 cycles, as shown in Figure 32).

In Figure 33, XRD spectra for the fresh and cycled cathodes are shown. As seen

from the figure, all the patterns have a sharp peak for LFP in the range 2θ = (35.5 –

36.0⁰). Also, in case of the cycled cathodes (after PHEV testing and second-life testing),

FePO4 phase is seen and is marked by #. This means that there is a phase change in the

cathode material from LiFePO4 to FePO4 due loss of lithium under high temperature

cycling.

Figure 32: Capacity degradation the in 18650 LFP-based cells after Second-life testing

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Figure 33: XRD analysis of the 18650 LFP-based battery cathodes after PHEV and Second-life testing

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5 CONCLUSION

Lithium-ion batteries with LFP and NMC cathodes were subjected to charge

depleting (CD) operating mode based on the FUDS drive cycle at high temperature and

low humidity to evaluate their performance. LFP-based cells showed 8% decrease in

capacity after 800 cycles, while there was a 16% decrease in capacity after 800 cycles in

the NMC-based cells. The major finding of the study was that batteries with NMC

cathodes showed twice as much capacity degradation as compared to batteries with LFP

cathodes under identical conditions, restating the fact that LFP-based batteries have a

higher cycle life compared to other Li-ion battery chemistries. The high frequency

resistance and the charge transfer resistance are seen to increase with cycling, and it can

be attributed to the loss of Li+ ions during SEI layer formation at anode. Detailed

Rietveld analysis was carried out on the XRD patterns for both the battery electrode

materials before and after cycling. The data provides no evidence of phase change after

800 PHEV cycles in both cathode materials. Further these batteries were tested for

second-life use by performing constant charge/discharge cycling at a C/5 rate and

approximately 4.9 and 4.4% decrease in capacity was seen after around 200 cycles in

LFP and NMC-based batteries, respectively. Also, XRD analysis of 18650 Li-ion cells

(LFP cathode material) revealed phase change from LiFePO4 to FePO4 due to cycling

after PHEV and Second-life tests.

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Scope for Future Work:

1. Different types of Li-ion batteries can be tested using the same protocol. LTO anode

based cells are known to have higher cycle life than most commercial batteries. We

can test these cells using the PHEV protocol to evaluate their performance.

2. Other PHEV drive profiles provided by the EPA can be used, and new drive profiles

can be developed by combining the existing ones.

3. There are various second-life uses of LIBs in stationary applications. Current

profiles from a specific application can be used to discharge the batteries for that

specific application.

4. Transmission Electron Microscopy (TEM) analysis on the electrode materials

would be essential to study dendrite formation and to observe the changes in the

surface morphology of the materials.

5. In addition, battery testing can be done at different temperature and humidity levels

to simulate different environmental conditions.

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APPENDIX A

A SCHEDULE FILES FOR PHEV BATTERY CYCLING FOR 26650 LFP, 26650

NMC AND 18650 LFP BASED BATTERIES

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Arbin Battery Cycler Schedule file for PHEV cycling of 26650 LFP based cells

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Arbin Battery Cycler Schedule file for PHEV cycling of 26650 NMC cells

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Arbin Battery Cycler Schedule file for PHEV cycling of 18650 LFP based cells

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APPENDIX B

B SCHEDULE FILES FOR SECOND-LIFE BATTERY CYCLING FOR 26650 LFP,

26650 NMC AND 18650 LFP BASED BATTERIES

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Arbin Battery Cycler Schedule file for second-life testing of 26650 LFP based

batteries

Arbin Battery Cycler Schedule file for second-life testing of 26650 NMC based

batteries

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Arbin Battery Cycler Schedule file for second-life testing of 18650 LFP based

batteries

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APPENDIX C

C MODEL AND EXPERIMENTAL VALUES FOR HIGH FREQUENCY

RESISTANCE (R1) AND MODEL VALUES FOR CHARGE TRANSFER

RESISTANCE (R2)

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High Frequency Resistance

(HFR/ R1) Values for 26650

LFP based cells

Charge Transfer Resistance (R2)

Values for 26650 LFP based

cells

High Frequency Resistance

(HFR/ R1) Values for 26650

LFP based cells

High Frequency Resistance

(HFR/ R1) Values for 26650

NMC based cells

Charge Transfer Resistance (R2)

Values for 26650 NMC based

cells