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Research on Multi-Mode Drive Optimization Control Strategy of Four-Wheel-Drive Electric Vehicles with Multiple Motors

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  • Shiwei Xu

    (School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    National Engineering Research Center of Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China)

  • Lulu Wei

    (School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Xiaopeng Zhang

    (Jianglu Machinery and Electronics Group Co., Ltd., Xiangtan 411199, China)

  • Zhifeng Bai

    (School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Yuan Jiao

    (School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

Abstract

Four-wheel-drive electric vehicles with multiple motors have several advantages such as energy saving, environmental protection, and excellent dynamics performance. Therefore, they have become an important development trend in the field of electric vehicles in the past few years. To deal with the problems of the economy and dynamics optimization of an electric vehicle with dual motors on the front axle and a single motor on the rear axle, a multi-mode drive optimization control strategy based on the hierarchical control architecture is proposed in this paper. In the strategy, the reference torque distribution strategy of the front and rear motors is obtained by optimizing the instantaneous energy consumption power in the economy module, and a torque compensation strategy is formulated based on the fuzzy control in the dynamics module to improve the vehicle dynamics in high dynamics demand conditions. Finally, the closed-loop cycle test and the driver-in-the-loop test are carried out to verify the performance of the strategy proposed in this paper, and the results show that energy consumption is reduced by 6.45% in the World Harmonized Light-duty Vehicles Test Cycle (WLTC), and that vehicles accelerate more quickly in variable acceleration conditions under the proposed strategy.

Suggested Citation

  • Shiwei Xu & Lulu Wei & Xiaopeng Zhang & Zhifeng Bai & Yuan Jiao, 2022. "Research on Multi-Mode Drive Optimization Control Strategy of Four-Wheel-Drive Electric Vehicles with Multiple Motors," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7378-:d:840506
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    References listed on IDEAS

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    1. Zhipeng Jiao & Jian Ma & Xuan Zhao & Kai Zhang & Dean Meng & Xuebo Li, 2022. "Development of a Rapid Inspection Driving Cycle for Battery Electric Vehicles Based on Operational Safety," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
    2. Li, Zhenhe & Khajepour, Amir & Song, Jinchun, 2019. "A comprehensive review of the key technologies for pure electric vehicles," Energy, Elsevier, vol. 182(C), pages 824-839.
    3. Raslavičius, Laurencas & Keršys, Artūras & Makaras, Rolandas, 2017. "Management of hybrid powertrain dynamics and energy consumption for 2WD, 4WD, and HMMWV vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 380-396.
    4. Zhang, Shuo & Xiong, Rui & Zhang, Chengning & Sun, Fengchun, 2016. "An optimal structure selection and parameter design approach for a dual-motor-driven system used in an electric bus," Energy, Elsevier, vol. 96(C), pages 437-448.
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    Cited by:

    1. Claudia Violeta Pop & Daniel Fodorean & Dan-Cristian Popa, 2022. "Structural Analysis of an In-Wheel Motor with Integrated Magnetic Gear Designed for Automotive Applications," Sustainability, MDPI, vol. 14(19), pages 1-23, September.

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