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Optimization of Brake Feedback Efficiency for Small Pure Electric Vehicles Based on Multiple Constraints

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  • Xiaoping Li

    (School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
    Guangxi Key Laboratory of Automobile Components and Vehicle Technology, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Junming Zhou

    (School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
    Guangxi Key Laboratory of Automobile Components and Vehicle Technology, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Wei Guan

    (School of Mechanical Engineering, Guangxi University, Nanning 530004, China)

  • Feng Jiang

    (School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
    Guangxi Key Laboratory of Automobile Components and Vehicle Technology, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Guangming Xie

    (Institute for Artificial Intelligence, Peking University, Beijing 100871, China)

  • Chunfeng Wang

    (Guangxi Yuchai Machinery Co., Ltd., Yulin 537005, China)

  • Weiguang Zheng

    (School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
    Guangxi Key Laboratory of Automobile Components and Vehicle Technology, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Zhijie Fang

    (School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China)

Abstract

An efficient and stable braking feedback scheme is one of the key technologies to improve the endurance performance of pure electric vehicles. In this study, four constraint conditions for different braking feedback schemes were clearly defined, and tests and simulation analysis were carried out based on “the relationship between rear-drive feedback efficiency and vehicle configuration conditions” and “the relationship between front-drive feedback efficiency and braking efficiency”. The results show that for rear-driving, the RSF2 scheme with low dependence on the constraint conditions of tramping characteristics is the comprehensive optimal scheme under the condition of decoupling control constraints, and the mileage improvement rate reaches 29.2%. For front driving, the FSF1A scheme is the comprehensive optimal scheme considering both braking efficiency and feedback efficiency, and the mileage improvement rate reaches 35.8%. Finally, the feasibility of the proposed braking feedback scheme is proved using the drum test under cyclic conditions, and the research results provide a theoretical basis for the optimization of braking feedback energy efficiency of small pure electric vehicles.

Suggested Citation

  • Xiaoping Li & Junming Zhou & Wei Guan & Feng Jiang & Guangming Xie & Chunfeng Wang & Weiguang Zheng & Zhijie Fang, 2023. "Optimization of Brake Feedback Efficiency for Small Pure Electric Vehicles Based on Multiple Constraints," Energies, MDPI, vol. 16(18), pages 1-20, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6531-:d:1237291
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    References listed on IDEAS

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