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Journal of Automotive Safety and Energy ›› 2016, Vol. 07 ›› Issue (02): 224-229.DOI: 10.3969/j.issn.1674-8484.2016.02.013

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Driving pattern recognition and charging management-based intelligent control strategy for extended-range electric vehicle

SONG Wen,  ZHANG Xin, TIAN Yi,  XI Lihe   

  1. 1. School of Mechanical Electric and Control Engineering, Beijing Jiaotong University, Beijing 100044,China;
    2. Department of Mechanical Engineering, The Academy of Armored Forces Engineering, Beijing 100072, China
  • Received:2015-12-30 Online:2016-06-25 Published:2016-07-06

Abstract:

The driving cycle of extended-range electric vehicle (E-REV) was analyzed with constructing an intelligent control strategy based on driving pattern recognition and battery charging management to improve the storage ability of clean electricity energy for hybrid electric vehicle (HEV). The strategy was used to control a extender working in different condition according to current driving cycle categories. The strategy would determine the extender-off time according to the distance between charging station and the driver's current position when the driver decided to recharge battery from outlet and reduce state of charge (SOC) to an ideal value as the vehicle arrive at the charging station. The results show that the strategy can reduce SOC to 30%~35% compared to that of constant power control strategy when a E-REV arrives at the charging station.

Key words: electric vehicle (EV), extended-range electric vehicle (E-REV), intelligent control strategy, driving pattern recognition, incremental algorithm