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Energy efficient torque vectoring for electric vehicles with multiple drivetrains

A. Sorniotti, P. Gruber, B. Lenzo, G. De Filippis, S. Fallah

University of Surrey, Guildford, United Kingdom

Vehicle Dynamics and Control 2017

Cambridge, 21 March 2017

• Torque vectoring concept

• Case study vehicle and test results

• Energy efficient torque vectoring

• Control allocation

• Reference yaw rate

• Experimental tests

• Conclusions

2

Overview

Direct yaw moment aiming at achieving a reference yaw rate

Allows changing cornering response, i.e. the understeer characteristic

3

Basic concept

Torque vectoring control

PWT 1 PWT 2

PWT 3 PWT 4

CoG

passive vehicle torque vectoring vehicle

PWT 1 PWT 2

PWT 3 PWT 4

CoG

FX FX,C

MZ,C

4

Case study vehicle

5

Vehicle layout

Case study vehicle (1)

Vehicle dimensions

Wheelbase 2.665 m

Half-track 0.808 m

Wheel radius 0.364 m

Drivetrain

Switched reluctance motor 1 per wheel

• Power 75 kW (peak); 35 kW (cont.)

• Torque 80 Nm nominal

• Gearbox ratio 10.56:1

M1…M4: motor; I1…I4: inverter; VCU: vehicle control unit (dSPACE)

6

Modular control structure

Case study vehicle (2)

reference yaw rate

(rref)

traction/braking force (FX,C ) and

yaw moment demands (MZ,C )

wheel torque demands τd,i

to generate FX,C and MZ,C

How to minimise energy consumption?

Part 1 - Energy efficient control allocation

• Small steering angle approximation >> vehicle sides treated independently

• Side torque demand:

CA problem >> front to rear torque distribution

8

Basic concept

Control allocation

d: half track width

R: radius of wheel

, ,1 ,2 ,3 ,4

1X C w w w wF

R

, ,1 ,2 ,3 ,4Z C w w w w

dM

R

,

, ,

1

2

Z C

d L X C

MF R

d

,

, ,

1

2

Z C

d R X C

MF R

d

9

Energy efficient control allocation – investigation

Optimal front-to-rear torque distribution (1)

Non-convex Convex

Drivetrain power losses

(incl. inverter, motor, gearbox, CV-joints, tyre)

10

Measured efficiencies on one vehicle side

Optimal front-to-rear torque distribution (2)

Due to power loss characteristics:

• Low torque demands >> only front/rear

• High torque demands >> even distribution

‘Switching torque’ based on torque and speed

can be defined to obtain optimal solution

11

Energy efficient control allocation – validation on roller test bench

Optimal front-to-rear torque distribution (3)

Switching torque

Driving cycleEnergy consumption (kWh) CA w.r.t.SA ED CA SA ED

NEDC 2.932 3.031 2.923 0.31% 3.56%

EUDC, 8% slope 5.838 5.739 5.716 2.09% 0.40%

SDDC 1.136 1.141 1.103 2.90% 3.33%

Surrey Designed Driving Cycle

Pin Wheel torque demand

[kW] left [Nm] right [Nm]

SA 54.46 179.1 539.1

ED 54.22 175.5 547.2

CA 53.15 158.9 (SA) 540.5 (ED)

12

Energy efficient control allocation - validation on proving ground

Optimal front-to-rear torque distribution (4)

radius 60 m, speed 79 km/h, ~8 m/s2; switching torque: 335 Nm

three-wheeler!

energy savings ~2.5%

[other tests ~4%]

How to minimise energy consumption?

Part 2 - Energy efficient understeer characteristics

Sport

NormalPassive

Driving modes (e.g., Sport, Normal) selectable by driver >> Vehicle response

‘designed’ through torque vectoring controller

14

Designed cornering behaviour

Optimal reference understeer characteristics (1)

Skid pad test results

(30 m radius, Lommel

proving ground)

Variation of the

understeer

gradient

Extension of the

linear region

(Sport mode)

Increased maximum

lateral acceleration

Steady-state simulation - speed: 70 km/h; long. acc.: 0.5g; lat. acc.: 0.5g

15

Energy efficient reference yaw rate – investigation

Optimal reference understeer characteristics (2)

-1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1

x 104

4

6

8

10

12

14

16

X: 1

Y: 8.69

_ M

Zc (Nm)

Pl,

(kW

)

X: 3721

Y: 8.168

Minimum

Lateral tyre slip power losses

-1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1

x 104

-2

0

2

4

6

8

10

12

X: 4471

Y: 3.162

_ M

Zc (Nm)

Pl,

(kW

)

X: 1

Y: 3.823

Minimum

Longitudinal tyre slip power losses

Controlled vehicle

Passive vehicle Passive vehicle

Controlled vehicle

stabilising destabilising stabilising destabilising

16

Steady-state simulation - speed: 40 km/h; long. acc.: 0g; lat. acc.: 0.2g

Optimal reference understeer characteristics (3)

Overall power input:

drivetrains + tyres

drivetrains have nearly symmetric power loss behaviour in cornering

tyre slip power losses cause asymmetry

stabilising destabilising

optimal yaw moment

destabilising

17

Extensive testing – 60m radius, lat. acc.: ~2, 4, 6, 8 m/s2

Optimal reference understeer characteristics (4)

…with 11 understeer configurations

18

Energy efficient reference yaw rate – experimental evidence

Optimal reference understeer characteristics (5)

Passive vehicle

O1…O5: progressively less understeer configurations

U1…U5: progressively more understeer configurations

2 3 4 5 6 7 80

10

20

30

40

50

60

Lateral acceleration (m/s2)

Po

wer

in

pu

t (k

W)

U4

U5

O1

O2

O3

O4

O5

PV

U3

U2

U1

2 3 4 5 6 7 8-0.2

-0.1

0

0.1

0.2

Lateral acceleration (m/s2)

Yaw

mo

men

t (k

Nm

)

PV

U1

U2

U3

U4

U5

O1

O2

O3

O4

O5

19

Power losses during cornering

Optimal reference understeer characteristics (6)

Passive vehicle

Optimum UG characteristic

energy

savings

~11%

20

Power losses during cornering

Optimal reference understeer characteristics (7)

P

MZ,C0

ay = constant

Passive vehicle

Optimum UG characteristic

• Torque vectoring control is effective in improving energy efficiency

by reducing power losses associated with drivetrains and tyres.

• Energy efficient CA algorithm energy savings between 2% and 3%

(driving cycles) and up to ~4% during cornering conditions with

respect to fixed torque distribution strategies.

• Energy efficient understeer characteristic is less understeering

and close to the condition of neutral steering.

• The energy efficient reference cornering response reduces

measured input power by up to ~11%.

21

Conclusions

For the case study electric vehicle

• Dizqah AM, Lenzo B, Sorniotti A, Gruber P, Fallah S, De Smet J. (2016) 'A Fast and

Parametric Torque Distribution Strategy for Four-Wheel-Drive Energy-Efficient Electric

Vehicles'. IEEE Transactions on Industrial Electronics, 63 (7), pp. 4367-4376.

• Gruber P, Sorniotti A, Lenzo B, De Filippis G, Fallah S. (2016) 'Energy efficient torque

vectoring control'. CRC Press (Taylor & Francis Group) Munich, Germany: 13th

International Symposium on Advanced Vehicle Control (AVEC'16)

• Lenzo B, De Filippis G, Sorniotti A, Gruber P, Sannen K. (2016) 'Understeer

characteristics for energy-efficient fully electric vehicles with multiple motors'. Montreal,

Quebec, Canada: EVS29 International Battery, Hybrid and Fuel Cell Electric Vehicle

Symposium

• De Filippis G, Lenzo B, Sorniotti A, Gruber P, Sannen K, De Smet J. (2016) 'On the

energy efficiency of electric vehicles with multiple motors'. IEEE Hangzhou, China:

IEEE VPPC2016.

22

References

Further info

www.i-compose.eu

Funded by

the European Union

(Project ID: 608897)

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