吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (2): 516-525.doi: 10.13229/j.cnki.jdxbgxb201502027

• 论文 • 上一篇    下一篇

基于模糊逻辑的纯电动汽车能量管理优化控制

董冰1，田彦涛1，周长久1，2   

  1. 1.吉林大学 通信工程学院，长春 130022；
    2.新加坡理工学院 机器人与智能控制中心，新加坡 569830
  • 收稿日期:2014-02-08 出版日期:2015-04-01 发布日期:2015-04-01
  • 作者简介:董冰(1982)，男，博士研究生.研究方向:复杂系统建模，优化与控制，电动汽车.E-mail:dongbing_jlu@126.com
  • 基金资助:

    国家发改委和工信部项目(5201209).

Fuzzy logic-based optimal control method for energy management of pure electric vehicle

DONG Bing1,TIAN Yan-tao1,ZHOU Chang-jiu1,2   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022,China;
    2.Center of Robot and Control Intelligent, Singapore Polytechnic, Singapore 569830, Singapore
  • Received:2014-02-08 Online:2015-04-01 Published:2015-04-01

RICH HTML

0   

PDF (PC)

1006

摘要：

以纯电动汽车能量管理系统为研究对象，通过分析动力电池系统与高压系统部件结构，确定了能量管理系统功率流关系。针对常用的能量管理系统控制策略，依据整车及电池特性，引入了能量管理系统功率分配系数，设计了以模糊控制器为核心的优化控制方法，并进行了仿真分析与验证。最后，通过转鼓台架的控制策略对比实验，验证了该优化方法可以有效地降低整车能量消耗率，且在动力电池总能量不变的前提下，使整车拥有较理想的经济性能和动力性能。

关键词: 自动控制技术, 能量管理系统, 模糊控制器, 能量消耗率

Abstract:

This paper studies the energy management of pure electric vehicles. By analyzing the structure of the power battery system and the components and parts of high voltage system, the power flow relationship of the energy management system is confirmed. Aiming at the controlling strategy of common energy management system, the power distribution coefficient of the system is introduced based on the characteristics of the vehicle and battery. An optimal control method based on fuzzy controller is designed, analyzed and validated by simulation. Finally, comparison experiments of the control strategy are carried out on a drum test bench. Results show that this optimal control method can reduce the energy consumption ratio effectively, and under the condition that the total energy of the battery is steady, the vehicle can keep ideal economic performance and ideal dynamic property.

Key words: automatic control technology, energy management system, fuzzy controller, energy consumption ratio

中图分类号: 

  • TP273
[1] Cao Jian, Emadi Ali. A new battery/ultra capacitor hybrid energy storage system for electric, hybrid, and plug-in hybrid electric vehicles[J]. IEEE Transactions on Power Electronics, 2012, 27: 122-132.
[2] 王加雪,王庆年,吴栋,等. 插电式混合动力客车功率匹配与仿真[J]. 吉林大学学报:工学版, 2010, 40(6): 1465-1472.
Wang Jia-xue, Wang Qing-nian, Wu Dong, et al. Power matching and simulation for plug in hybrid electric bus[J]. Journal of Jilin University (Engineering and Technology Edition), 2010, 40 (6): 1465-1472.
[3] Omar N, van Mierlo J, Verbrugge B, et al. Power and life enhancement of a battery electrical double layer capacitor for hybrid electric and charge depleting plug-in vehicle applications[J]. Elecrtochimca Acta, 2010,55:7524-7531.
[4] Moremo J, Ortuzar M, Dixon J. Energy management system for a hybrid electric vehicle, using ultra capacitors and neural networks[J]. IEEE Trans Ind Electron, 2006,53: 614-623.
[5] Yang Y P, Liu J J, Hu T H. An energy management system for a directly-driven electric scooter[J]. Energy Conversion and Management, 2011,52: 621-629.
[6] Lukic S M, Cao J, Bansal R C, et al. Energy storage systems for automotive applications[J]. IEEE Trans Ind Electron, 2008,55:2258-2267.
[7] Banvait H, Anwar S,Chen Y B. A rule-based energy management strategy for Plug-in Hybrid Electric Vehicle (PHEV)[C]∥American Control Conference, st.Louis,Mo,USA,2009: 3938-3943.
[8] Masjosthusmann C, Kohler U, Decius N, et al. A vehicle energy management system for a battery electric vehicle[C]∥Vehicle Power and Propulsion Conference (VPPC), Seoul,2012: 339-344.
[9] Jinrui N, Fengchun S, Qinglian R. A study of energy management system of electric vehicles[C]∥Vehicle Power and Propulsion Conference, Windsor,UK,2006 : 1-6.
[10] 王庆年, 王俊, 陈慧勇, 等. 混合动力车辆中的加速与制动意图识别[J]. 吉林大学学报:工学版, 2014, 44(2): 281-286.
Wang Qing-nian, Wang Jun, Chen Hui-yong, et al. Accelerating and braking intention identification in hybrid vehicle[J]. Journal of Jilin University(Engineering and Technology Edition), 2014, 44(2): 281-286.
[11] 石庆升.纯电动汽车能量管理关键技术问题的研究[D].济南:山东大学控制科学与工程学院,2009.
Shi Qing-sheng. Key technologies research on energy management problems of pure electric vehicles[D].Jinan: College of Control Science and Engineering,Shandong University,2009.
[12] 刘小艳,刘欣宇,王梅.隶属函数的确定及应用[J].电脑知识与技术, 2010, 6(11): 8831-8832.
Liu Xiao-yan, Liu Xin-yu, Wang Mei. The determination of membership function and use[J]. Computer Knowledge and Technology, 2010, 6(11): 8831-8832.
[13] Dong Bing, Tian Yan-tao, Zhou Chang-jiu. Torque correcting strategy in driving control of new energy vehicle[C]∥2013 Fifth Conference on Measuring Technology and Mechatronics Automation,Hong Kong, 2013:1268-1270.
[14] 辛乃龙.纯电动汽车锂离子动力电池组热特性分析及仿真研究[D].长春: 吉林大学汽车工程学院, 2012.
Xin Nai-long. Thermal characteristic analysis and simulation research of Lithiumion power battery pack for pure electric vehicle[D].Changchun: College of Automotive Engineering,Jilin University, 2012.
[1] 顾万里,王萍,胡云峰,蔡硕,陈虹. 具有H∞性能的轮式移动机器人非线性控制器设计[J]. 吉林大学学报(工学版), 2018, 48(6): 1811-1819.
[2] 李战东,陶建国,罗阳,孙浩,丁亮,邓宗全. 核电水池推力附着机器人系统设计[J]. 吉林大学学报(工学版), 2018, 48(6): 1820-1826.
[3] 赵爽,沈继红,张刘,赵晗,陈柯帆. 微细电火花加工表面粗糙度快速高斯评定[J]. 吉林大学学报(工学版), 2018, 48(6): 1838-1843.
[4] 王德军, 魏薇郦, 鲍亚新. 考虑侧风干扰的电子稳定控制系统执行器故障诊断[J]. 吉林大学学报(工学版), 2018, 48(5): 1548-1555.
[5] 闫冬梅, 钟辉, 任丽莉, 王若琳, 李红梅. 具有区间时变时滞的线性系统稳定性分析[J]. 吉林大学学报(工学版), 2018, 48(5): 1556-1562.
[6] 张茹斌, 占礼葵, 彭伟, 孙少明, 刘骏富, 任雷. 心肺功能评估训练系统的恒功率控制[J]. 吉林大学学报(工学版), 2018, 48(4): 1184-1190.
[7] 董惠娟, 于震, 樊继壮. 基于激光测振仪的非轴对称超声驻波声场的识别[J]. 吉林大学学报(工学版), 2018, 48(4): 1191-1198.
[8] 田彦涛, 张宇, 王晓玉, 陈华. 基于平方根无迹卡尔曼滤波算法的电动汽车质心侧偏角估计[J]. 吉林大学学报(工学版), 2018, 48(3): 845-852.
[9] 张士涛, 张葆, 李贤涛, 王正玺, 田大鹏. 基于零相差轨迹控制方法提升快速反射镜性能[J]. 吉林大学学报(工学版), 2018, 48(3): 853-858.
[10] 王林, 王洪光, 宋屹峰, 潘新安, 张宏志. 输电线路悬垂绝缘子清扫机器人行为规划[J]. 吉林大学学报(工学版), 2018, 48(2): 518-525.
[11] 胡云峰, 王长勇, 于树友, 孙鹏远, 陈虹. 缸内直喷汽油机共轨系统结构参数优化[J]. 吉林大学学报(工学版), 2018, 48(1): 236-244.
[12] 朱枫, 张葆, 李贤涛, 王正玺, 张士涛. 基于强跟踪卡尔曼滤波的陀螺信号处理[J]. 吉林大学学报(工学版), 2017, 47(6): 1868-1875.
[13] 晋超琼, 张葆, 李贤涛, 申帅, 朱枫. 基于扰动观测器的光电稳定平台摩擦补偿策略[J]. 吉林大学学报(工学版), 2017, 47(6): 1876-1885.
[14] 冯建鑫. 具有测量时滞的不确定系统的递推鲁棒滤波[J]. 吉林大学学报(工学版), 2017, 47(5): 1561-1567.
[15] 许金凯, 王煜天, 张世忠. 驱动冗余重型并联机构的动力学性能[J]. 吉林大学学报(工学版), 2017, 47(4): 1138-1143.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 《吉林大学学报(工学版)》编辑部
地址：长春市人民大街5988号　电话：+86-431-85095297　传真：+86-431-85094074　E-mail: xbgxb@jlu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发