Regenerative Braking Control Strategy of Electric Vehicles Based on Braking Stability Requirements

Author:

Biao Jiang,Xiangwen Zhang,Yangxiong Wang,Wenchao Hu

Publisher

Springer Science and Business Media LLC

Subject

Automotive Engineering

Reference21 articles.

1. Chu, L., Cai, J. W., Fu, Z. C. and Wang, Y. B. (2014). Research on brake energy regeneration evaluation and test method of pure electric vehicle. J. Huazhong University of Science amp; Technology (Natural Science Edition), 1, 18–22.

2. Fu, X. C., Zhang, B. C. and Yan, B. (2014). Design of brake force distribution coefficient of regenerative braking system used in electric energy storage vehicle. Mechanical Engineering amp; Automation 2, 123–125.

3. Gao, H., Gao, Y. and Ehsani, M. (2001). A neural network based SRM drive control strategy for regenerative braking in EV and HEV. IEEE Int. Electric Machines amp; Drives Conf. (IEMDC). Cambridge, MA, USA.

4. Guo, J., Wang, J. and Cao, B. (2008). Brake-force distribution strategy for electric vehicle based on maximum energy recovery. J. Xi’an Jiaotong University 42, 5, 607–611.

5. Guo, J., Wang, J. and Cao, B. (2011). Optimization based braking force distribution for electric vehicles. Mechanical Science and Technology for Aerospace Engineering 30, 9, 1495–1499.

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