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Regenerative brake strategy based on braking boundary and intention recognition

  • Zhixin Wu*
  • , Jinpeng Shi
  • , Yalun Li
  • , Haisheng Yang
  • , Shaodong Ma
  • *此作品的通讯作者
  • Beihang University
  • China Automotive Technology & Research Center

科研成果: 期刊稿件文章同行评审

摘要

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).

源语言英语
页(从-至)1531-1540
页数10
期刊Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
43
8
DOI
出版状态已出版 - 8月 2017

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