p advanced n-level digital architecture for electrified

30/ 11/ 2020Slide 1 PANDA - GA 824256

Powerful Advanced N-level Digital Architecture for

electrified vehicles and components

Alain BOUSCAYROL

University of Lille

PANDA coordinator

w w w .project - panda.eu

H2020RTR20

30/ 11/ 2020Slide 2

W-m odel & digitalizat ion

component

realization

time

prototype

testing

system

requirements

simulation

Virtual

subsystem

Virtual

prototype

Level of

details

component

requirements

subsystem

requirementssubsystem

testing

component

testing

design

real

testing

virtual

testing

Many simulation toolsDifferent models for 1 component

Low flexibility / interoperabilityRisk of mistake / long development time

30/ 11/ 2020

PANDA objective

PANDA - GA 824256Slide 3

Disruptive and open access model organization in the development process for fast and efficient development of innovative EVs

‐20% for the time‐to‐marketcomponent

realization

components

design

subsystem

specifications

system

specifications

components

testing

subsystem

testing

prototype

testing

virtual

subsystem

virtual

prototype

- 20%

PANDA concepttime

Level of details

Cloud of models

30/ 11/ 2020

PANDA disrupt ive sim ulat ion m ethod


Funct ional sim ulat ion:

Most of the sim ulat ion tools are based on a st ructural descript ion

for an easy interconnect ion of different com ponents/ subsystem s

but conflicts of associat ion to be solved by the solver

PANDA use a funct ional & causal descript ion (fixed I /Os)

for a faster sim ulat ion and m ore flexibilit y

Cloud of m odel:

Most of vir tual/ system sim ulat ions are developed on co-sim ulat ion

to interconnect the software of each team

but co-sim ulat ion increase the com putat ion t im e

PANDA use cloud of models w ith a common softw are

for seam less interoperabilit y and real- t im e sim ulat ion

vBat road

Strategy

vref

Energetic Macroscopic

Representation(graphical formalism for

model & control organization)

30/ 11/ 2020

PANDA supports


Renault ZOE MobyPost

Electric Vehicle Fuel Cell Vehicle Hybrid Vehicle

48V-based P-HEV

study cases

Simcenter

Amesim

EMR

formalism

Application toan industrial

software

30/ 11/ 2020PANDA - GA 824256Slide 6

Pre‐design

Systems sizing & integration

Performance balancing

Controls validation

Model-based

system testing

Sim center Am esim

48 libraries(6500 models)

• Hydraulics• Pneumatics

• Thermal• Electrical

• Mechanical• Signals, etc.

Advanced industrialMultiphysics simulation

package

based onstructural libraries

for modelsand

a functional library

for control

new EMR-basedfunctional library

for models & control

30/ 11/ 2020

Example of simulation of a BEV


Tazzari Zero of

i mi

V mu

dcmchopchop

batchopchop

dcmarmdcmchopdcmarm iReuidt

dL

geardcmdcm

dcmdcmdcm

ke

ikT

geargeardcmgear fTTdt

dJ

diffgeargear

dcmgeargear

k

TkT

whdifdif

geardifdif

k

TkT

restotev FFvdt

dM model & control organization using EMR

Simecenter Amesim

1 2

3modelling equations

inverter AC machine wheel chassis

ubat

Bat.

iinv

uinv

iem

Tem

shaft

iem

eem

minv

Fwh

Fresvev

vev

Road

vev-refFwh-refTem-refiem-refuinv-ref

New

EMR libraryIn Simcenter

Amesim

30/ 11/ 2020

Different models can be interchanged by “plug & play”

Multi-level modelling simulation


ubat

ibat

Tem

wh

vev

Fres

model

level 1

model

level 2

model

level 3

model

level 1

model

level 2

model

level 3

battery e-drive chassis road

30/ 11/ 2020

Cloud simulation platform


Simulation of BEV Simulation of FCV Simulation of P‐HEV

with cloud EMR library

and computing facility

fast sharing models

and knowledge

between partners,

for seamless

integration

of a complete

vehicle model

• Development of models• EMR organisation of models

30/ 11/ 2020

Stand alone or cloud

simulation


stand-alone

simulation onlocal computer

uploadsimulation

files

downloadcomponent

model

UploadSimulation

results

Cloud-computing

simulation inthe cloud

possibility of black-boxmodels for IP

30/ 11/ 2020

The EMR of the studied BEV



ied

wheels

Ωd

Tgb_ref

Tgb

chassis

vv

Fw_ref

Id_mes

ubat

Bat.ibat Ωgb

Tm

Tm_ref

gearboxe-drive

Aux.

ubat

iaux

ubat Fw

SoC

Strategy

Braking

kbr Ftot_ref

Fbr_ref

vvFtot

Roadvv

vvBrake

Fbr

Fres

vv_refFtot_ref

source

power

control

Li-Ion 41 kWh / 400 V

290 kg

SynchronousMachine

65 kW

Renault ZOE

30/ 11/ 2020PANDA - GA 824256Slide 12

Example of a simulation model in Simecenter Amesim

The sim ulat ion m odel


From the EMR library

30/ 11/ 2020PANDA - GA 824256Slide 13

Different level of bat tery m odels


electro

thermal model

pure electric model

Model identifications

OCV

ibat

ubat

iCell

OCVCell

ambiant

air

TAmb

qs4

electrical partthermal part

ibat

ubat

ibat

ubatOCV

OCV vs. SoC ESR vs. SoC

30/ 11/ 2020

usdq isdq

isdq esdq

uvsi

ism


Different level of e-dr ive m odels


efficiency map

Parameter identifications

ibat

ubatTed

Ted-ref

wl

static model

ibat

ubat Ted

wl

Ted-ref

dynamic model

with

saturation

ibat

ubat Ted

wl

Ted-ref

Flux linkageinverter synchronous machine

mvsi

isdq-refusdq-refuvsi-ref

d/s‐est

isdq-est

Field oriented controlPWM

30/ 11/ 2020PANDA - GA 824256Slide 15

Model validation

Velocity (km/h)

different real driving cycles

from RTR track

measurements

measurements

resultsinput

time (s)

Energy (kWh)

measure

simulation

time (s)

SoC (%)

measure

simulation

time (s)

Extra‐urban real driving cycleError on energy < 2%

for different driving cycle

30/ 11/ 2020

Com parison st ructural vs. funct ional


New

EMR-based (functional)

library

in SimecenterAmesim

Simulation of

Renault ZOE

Classical

structural library

(Simcenter

Amesim)

[Husar VPPC’19]

• same model / control• same accuracy

• -15% of computation timewith the functional library

30/ 11/ 2020

Next step: P-HEV vir tual & real test ing


hybridized Peugeot 308 with a 48 V bat tery and 2 elect r ical dr ives for P-HEV

Real-t ime simulat ion

subsystems

to test

battery

clutch

differential

rear wheel front wheel

gearbox

differential

clutch

engine

Front EM

Rear

EM

Rear Front

battery

charger

30/ 11/ 2020

Next step: HI L test ing of bat tery


stand-alone HIL

cloud-based HIL

Real batteryunder test

power

Power interface& real-time simulator

(upload files)

(real-time exchange)

30/ 11/ 2020

PANDA perspect ives


component

realization

components

design

subsystem

specifications

system

specifications

components

testing

subsystem

testing

prototype

testing

virtual

subsystem

virtual

prototype

- 20%

PANDA concepttime

Level of details

estimation of the reductiontime-to-market

Cloud of models

usage of the cloudfor HIL testing

estimation of CO2equof PANDA and mitigation

30/ 11/ 2020This project has received funding from the European Union’s Horizon 2020 research and innovat ion program m e under grant agreem ent No 824256.

H2020 PANDA project

https://project-panda.eu/

Our PANDA

Thanks you for your attention !

Slide 20

30/ 11/ 2020PANDA - GA 824256Slide 21

References[ Bouscayrol 2012] A. Bouscayrol, J. P. Haut ier, B. Lem aire-Sem ail, "Graphic Form alism s for the Cont rol

of Mult i-Physical Energet ic System s", System ic Design Methodologies for Elect r ical Energy, tom e 1, Analysis, Synthesis

and Managem ent , Chapter 3, I STE Willey edit ions, October 2012

[ Desrevaux 2020] A. Desreveaux, A. Bouscayrol, E. Castex, R. Triguie, E. Hit t inger, G..M. Sirbu, “Annual variat ion in energy

consum pt ion of an elect r ic vehicle used for com m ut ing ", Energies, vol 12, n° 18, Septem ber 2020, pp 1-15, (ULille,

Rochester I nst . Tech. (USA) , Renault Technology Rom ania, within the PANDA H2020 project GA # 824256)

[ Husar 2019] C. Husar, M. Grovu, C. I r im ia, A. Desreveaux, A. Bouscayrol, M. Ponchant , P. Magnin, “Comparison of Energet ic

Macroscopic Representat ion and st ructural representat ion on EV simulat ion under Simcenter Amesim”, I EEE-VPPC’19,

Hanoi (Vietnam ) , October 2019 (Siem ens Software & ULille within the H2020 PANDA project , GA # 824256)

[ PANDA 2020] A. Bouscayrol, A. Lepout re, C. I r im ia, C. Husar, J. Jaguem ont , A. Lièvre, C. Mart is, D. Zuber, V. Blandow, F.

Gao, W. Van Dorp, G. Sirbu, J. Lecoutere, “Power Advanced N- level Digital Architecture for models of elect r ified vehicles

and their com ponents”, Transport Research Arena 2020, Helsinki (Finland) , April 2020 (within the PANDA H2020 European

Project , GA # 824256) .

p advanced n-level digital architecture for electrified

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