Torque Vectoring Control of RWID Electric Vehicle for Reducing Driving-Wheel Slippage Energy Dissipation in Cornering

Junnian Wang, Siwen Lv, Nana Sun, Shoulin Gao, Wen Sun and Zidong Zhou
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Junnian Wang: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Siwen Lv: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Nana Sun: The Department of Technical Development, FAW-Volkswagen Automotive Co., Ltd., Changchun 130011, China
Shoulin Gao: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Wen Sun: The School of Automotive Engineering, Changzhou Institute of Technology, Changzhou 213032, China
Zidong Zhou: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China

Energies, 2021, vol. 14, issue 23, 1-16

Abstract: The anxiety of driving range and inconvenience of battery recharging has placed high requirements on the energy efficiency of electric vehicles. To reduce driving-wheel slip energy consumption while cornering, a torque vectoring control strategy for a rear-wheel independent-drive (RWID) electric vehicle is proposed. First, the longitudinal linear stiffness of each driving wheel is estimated by using the approach of recursive least squares. Then, an initial differential torque is calculated for reducing their overall tire slippage energy dissipation. However, before the differential torque is applied to the two side of driving wheels, an acceleration slip regulation (ASR) is introduced into the overall control strategy to avoid entering into the tire adhesion saturation region resulting in excessive slip. Finally, the simulations of typical manoeuvring conditions are performed to verify the veracity of the estimated tire longitudinal linear stiffness and effectiveness of the torque vectoring control strategy. As a result, the proposed torque vectoring control leads to the largest reduction of around 17% slip power consumption for the situations carried out above.

Keywords: electric vehicle; torque vectoring; slip energy consumption; the longitudinal linear stiffness; recursive least squares (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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