北京航空航天大学学报 ›› 2016, Vol. 42 ›› Issue (1): 21-27.doi: 10.13700/j.bh.1001-5965.2015.0031

• 论文 • 上一篇    下一篇

基于制动意图识别的电动汽车能量经济性

姬芬竹1, 杜发荣2, 朱文博1   

  1. 1. 北京航空航天大学交通科学与工程学院, 北京 100083;
    2. 北京航空航天大学能源与动力工程学院, 北京 100083
  • 收稿日期:2015-01-16 出版日期:2016-01-20 发布日期:2016-01-28
  • 通讯作者: 杜发荣,Tel.:010-82339079E-mail:dfr@buaa.edu.cn E-mail:dfr@buaa.edu.cn
  • 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
  • 基金资助:
    国家"863"计划(2012AA111202);北京市自然科学基金(3122024)

Electric vehicle energy economy based on braking intention identification

JI Fenzhu1, DU Farong2, ZHU Wenbo1   

  1. 1. School of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
    2. School of Energy and Power Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2015-01-16 Online:2016-01-20 Published:2016-01-28
  • Supported by:
    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%。

关键词: 电动汽车, 能量回收率, 加速踏板, 制动意图, 续驶里程

Abstract: Braking energy recovery is a main technology measure for improving the energy economy of the electric vehicle. It is a key point to accurately identify the driving intent for braking energy recovery. The models of braking intention identification for lifting up the accelerating pedal and depressing the braking pedal were respectively established. Braking intention was identified using fuzzy control method. The identification results of driver braking intention were expressed as small-strength brake, middle-strength brake and emergency brake.Two types of energy recovery modes were made up based on the braking intention identification results. The braking force allocation strategy and calculation model were set up based on the economic commission of Europe (ECE) regulations line and I curve. A braking system simulation model was founded in the plate of Cruise and MATLAB/Simulink, and braking energy recovery rate and driving range of the electric vehicle were calculated for different energy recovery modes.The results show that: if energy recovery mode is different, the braking energy recovery rate is different; in a new European driving cycle (NEDC), the energy recovery rate could be improved in the case of recovering the braking energy in the stage of lifting up the accelerating pedal, and this braking energy is set to simulate engine braking in orthodox vehicle; the driving range increased 5.69% in NEDC.

Key words: electric vehicle, energy recovery rate, accelerating pedal, braking intention, driving range

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