Volume 43 Issue 8
Aug.  2017
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WU Zhixin, SHI Jinpeng, LI Yalun, et al. Regenerative brake strategy based on braking boundary and intention recognition[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(8): 1531-1540. doi: 10.13700/j.bh.1001-5965.2016.0645(in Chinese)
Citation: WU Zhixin, SHI Jinpeng, LI Yalun, et al. Regenerative brake strategy based on braking boundary and intention recognition[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(8): 1531-1540. doi: 10.13700/j.bh.1001-5965.2016.0645(in Chinese)

Regenerative brake strategy based on braking boundary and intention recognition

doi: 10.13700/j.bh.1001-5965.2016.0645
Funds:

National Key Technology Research and Development Program of China 2015BAG01B00

More Information
  • Corresponding author: WU Z X, E-mail: wuzhixin@catarc.ac.cn
  • Received Date: 08 Aug 2016
  • Accepted Date: 09 Dec 2016
  • Publish Date: 20 Aug 2017
  • Effective strategy of regenerative brake can increase the recycling energy and improve the driving range of electric vehicles. A recycling brake force distribution strategy on the basis of maximum boundary was proposed from the analysis of the vehicle brake dynamics and related regulations. The models of fuzzy braking intention identification based on brake pedal depth, vehicle speed and SOC wereestablished to identify the driver braking intentions; the models of battery charging protection based on the motor efficiency map were established to limit the battery charging current. The influence of the regenerative brake strategy ondriving range was researched by means of the second development of Cruise simulation platform. The driving range of electric vehicles rises by 7.8% in accordance with the regenerative brake strategy for the new European driving cycle (NEDC). The driving range of electric vehicles rises by 27.3% in accordance with the regenerative brake strategy for the EPA Federal Test Procedure (FTP75).

     

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