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基于制动意图识别的电动汽车能量经济性

姬芬竹 杜发荣 朱文博

姬芬竹, 杜发荣, 朱文博等 . 基于制动意图识别的电动汽车能量经济性[J]. 北京航空航天大学学报, 2016, 42(1): 21-27. doi: 10.13700/j.bh.1001-5965.2015.0031
引用本文: 姬芬竹, 杜发荣, 朱文博等 . 基于制动意图识别的电动汽车能量经济性[J]. 北京航空航天大学学报, 2016, 42(1): 21-27. doi: 10.13700/j.bh.1001-5965.2015.0031
JI Fenzhu, DU Farong, ZHU Wenboet al. Electric vehicle energy economy based on braking intention identification[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(1): 21-27. doi: 10.13700/j.bh.1001-5965.2015.0031(in Chinese)
Citation: JI Fenzhu, DU Farong, ZHU Wenboet al. Electric vehicle energy economy based on braking intention identification[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(1): 21-27. doi: 10.13700/j.bh.1001-5965.2015.0031(in Chinese)

基于制动意图识别的电动汽车能量经济性

doi: 10.13700/j.bh.1001-5965.2015.0031
基金项目: 国家"863"计划(2012AA111202);北京市自然科学基金(3122024)
详细信息
    作者简介:

    姬芬竹女,博士,副教授。主要研究方向:电动汽车电驱动系统。Tel.:010-82316330E-mail:jfz@buaa.edu.cn;杜发荣男,硕士,副教授。主要研究方向:电动汽车制动系统。Tel.:010-82339079E-mail:dfr@buaa.edu.cn

    通讯作者:

    杜发荣,Tel.:010-82339079E-mail:dfr@buaa.edu.cn

  • 中图分类号: U462.3

Electric vehicle energy economy based on braking intention identification

Funds: National High-tech Research and Development Program of China (2012AA111202); Beijing Natural Science Foundation (3122024)
  • 摘要: 制动能量回收是提高电动汽车能量经济性的主要技术措施,准确识别驾驶意图是制动能量回收的关键。分别建立驾驶员收起加速踏板阶段和踩下制动踏板阶段的制动意图识别模型,采用模糊控制方法对制动意图进行识别,以小强度制动、中强度制动和紧急制动作为量化的驾驶员制动意图输出;依据制动意图识别结果制订了2种能量回收模式;基于欧洲经济委员会(ECE)法规线和I曲线建立了制动力分配策略和计算模型;针对不同的能量回收模式,以Cruise和MATLAB/Simulink为平台,建立了制动系统仿真模型,计算制动能量回收率和电动汽车续驶里程。结果表明:能量回收模式不同,电动汽车的制动能量回收率不同;在一个新欧洲驾驶循环(NEDC)中,考虑收起加速踏板阶段模拟发动机制动的能量回收模式能够提高制动能量回收率;NEDC循环工况的续驶里程提高了5.69%。

     

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出版历程
  • 收稿日期:  2015-01-16
  • 刊出日期:  2016-01-20

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