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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Junnian Wang & Siwen Lv & Nana Sun & Shoulin Gao & Wen Sun & Zidong Zhou, 2021. "Torque Vectoring Control of RWID Electric Vehicle for Reducing Driving-Wheel Slippage Energy Dissipation in Cornering," Energies, MDPI, vol. 14(23), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:8143-:d:695305
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    References listed on IDEAS

    as
    1. Fabio Viola, 2021. "Electric Vehicles and Psychology," Sustainability, MDPI, vol. 13(2), pages 1-26, January.
    2. Cheng Lin & Zhifeng Xu, 2015. "Wheel Torque Distribution of Four-Wheel-Drive Electric Vehicles Based on Multi-Objective Optimization," Energies, MDPI, vol. 8(5), pages 1-17, April.
    3. Wen Sun & Juncai Rong & Junnian Wang & Wentong Zhang & Zidong Zhou, 2021. "Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels," Energies, MDPI, vol. 14(21), pages 1-15, October.
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