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

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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
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