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International Journal of Automotive Technology > Volume 22(2); 2021 > Article
International Journal of Automotive Technology 2021;22(2): 465-473.
doi: https://doi.org/10.1007/s12239-021-0043-1
Jiang Biao , Zhang Xiangwen , Wang Yangxiong , Hu Wenchao
Guilin University of Electronic Science and Technology
PDF Links Corresponding Author.  Zhang Xiangwen  , Email. zxw@guet.edu.cn
Electric vehicles are effective way to solve energy and environmental problems, but the promotion and application of electric vehicles are suppressed by their limited endurance range seriously. The regenerative braking technology is an important method to increase the endurance range of the electric vehicle. During the braking process, the kinetic energy of the electric vehicle can be converted into electric energy and stored in the energy source device with the regenerative braking system, so the endurance range of the electric vehicle can be increased accordingly. In order to increase the efficiency of energy recovery, a regenerative braking strategy with the optimization distribution algorithm is proposed in this paper, and the braking forces of the front and rear axles are distributed optimally with variable ratios based on the braking strength. With the optimal braking force distribution ratio and related constraint conditions, the regenerative braking control strategy was designed to meet the braking stability and the maximum braking energy recovery. And then a simulation model of the braking control strategy was built with MATLAB/Simulink software, and the simulation tests on UDDS and NEDC cycle conditions were done to verify the effectiveness of the designed regenerative braking control strategy. Compared with the control strategy of ADVISOR software, the braking energy recovery efficiency was improved more than 51.9 % while maintaining the braking stability.
Key Words: Braking strength, Braking force distribution, Regenerative braking, Energy recovery
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