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汽车安全与节能学报

汽车安全与节能学报 ›› 2016, Vol. 07 ›› Issue (02): 224-229.DOI: 10.3969/j.issn.1674-8484.2016.02.013

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基于运行工况识别及充电管理的E-REV 智能控制策略

宋 雯1，张 欣1*，田 毅2，席利贺1   

  1. 1. 北京交通大学 新能源汽车动力总成技术北京市重点实验室，北京 100044，中国；
    2. 装甲兵工程学院 机械工程系，北京 100072，中国
  • 收稿日期:2015-12-30 出版日期:2016-06-25 发布日期:2016-07-06
  • 通讯作者: 张欣(1959—)，女( 汉族)，湖北，教授。E-mail: zhangxin@bjtu.edu.cn
  • 作者简介:宋雯(1972—)，女( 汉)，甘肃，博士研究生。E-mail: 2425712553@qq.com
  • 基金资助:

    国家科技支撑计划(2015BAG05B00)

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

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摘要：

为提高混合动力车辆(HEV) 存储充电站清洁电能的能力，对增程式电动汽车(E-REV) 运行工况进行了分析，提出一种基于运行工况识别及电池充电管理的智能控制策略。根据车辆当前所行驶的运行工况类型，控制增程器处于不同的工作方式。当司机有到达充电站充电的意图时，根据此时车辆与充电站之间的距离，确定增程器的关闭时刻，使E-REV 到达充电站时动力电池充电状态 (SOC)降低至理想充电范围。结果表明，相比恒功率控制策略，本策略能够使得E-REV 在进入充电站时SOC 值降低至30%~35% 之间。

关键词: 电动汽车(EV) , 增程式电动汽车 (E-REV) , 智能控制策略, 道路运行工况, 增量算法

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