汽车工程

汽车工程 ›› 2019, Vol. 41 ›› Issue (6): 615-624.doi: 10.19562/j.chinasae.qcgc.2019.06.002

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基于多模糊控制的电电混合汽车能量管理策略*

姚堤照, 谢长君, 曾甜, 黄亮   

  1. 武汉理工大学自动化学院,武汉 430070
  • 收稿日期:2018-05-22 发布日期:2019-07-03
  • 通讯作者: 谢长君,教授,博士,E-mail:jackxie@whut.edu.cn
  • 基金资助:
    国家自然科学基金(51477125)、湖北省自然科学基金杰青项目(2017CFA049)、湖北省技术创新重大项目(2018AAA059)和中央高校基本科研业务费专项资金(2017II40GX)资助。

Multi-Fuzzy Control Based Energy Management Strategy ofBattery/Super-capacitor Hybrid Energy System of Electric Vehicles

Yao Dizhao, Xie Changjun, Zeng Tian, Huang Liang   

  1. School of Automation, Wuhan University of Technology, Wuhan 430070
  • Received:2018-05-22 Published:2019-07-03

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摘要： 针对目前锂电池超级电容复合能源电动汽车在单一模糊控制策略上的不足,提出并设计了多模糊联合控制的能量管理策略。结合实验台架实际参数,在MATLAB环境下搭建整车模型,通过ECE和UDDS工况对模糊方波调节控制策略、功率分配因子模糊控制策略和改进的基于模糊方波调节的联合控制策略对比分析,最后选择效果最优的基于模糊方波调节的联合控制策略嵌入实验台架进行验证。实验结果表明,本文中提出的控制策略在两种测试工况下均可实现锂电池在不同SOC下充放电电流平滑控制在1C以内,有利于锂电池组安全运行并有效降低整车行驶成本。

关键词: 电电混合电动汽车, 能量管理策略, 多模糊控制, 基于模糊方波调节的联合控制

Abstract: The energy management strategy of multi fuzzy control is proposed and designed, in order to overcome the shortcomings of the single fuzzy control strategy for electric vehicle with lithium battery-super-capacitor hybrid energy system. According to the actual parameters of the test bench, the vehicle model is built under the MATLAB environment. Through the comparison and analysis of the pulse modulation fuzzy control strategy, power allocation factor fuzzy control strategy and modified fuzzy control strategy based on pulse modulation under the ECE and UDDS driving cycle, the optimal modified fuzzy control strategy based on pulse modulation is embedded into the experimental bench for verification. The experimental results show that the control strategy proposed in this paper can achieve smooth control of the charging and discharging current of lithium batteries within 1C under different SOC conditions, which is conducive to the safe operation of the lithium battery and can effectively reduce driving cost of the vehicle.

Key words: battery/super-capacitor hybrid energy electric vehicle, energy management strategy, multi fuzzy control, modified fuzzy control strategy based on pulse modulation