• CN:11-2187/TH
  • ISSN:0577-6686

›› 2005, Vol. 41 ›› Issue (12): 8-12.

• 论文 • 上一篇    下一篇

扫码分享

燃料电池城市客车能量分配算法研究

卢兰光;何彬;欧阳明高   

  1. 清华大学汽车安全与节能国家重点实验室
  • 发布日期:2005-12-15

ENERGY MANAGEMENT STRATEGIES FOR FUEL CELL HYBRID ELECTRIC VEHICLE

Lu languang;He bin;Ouyang Minggao   

  1. State Key Laboratory of Automotive Safety and Energy, Tsinghua University
  • Published:2005-12-15

摘要: 高效、清洁已使燃料电池混合动力汽车成为人们关注的焦点。燃料电池多能源的分配控制是其中的一个关键技术,其对汽车经济性、动力性及部件寿命有很大影响。分析比较了四种能量分配控制策略,即恒压浮充策略、基于母线电压的MAP图分配策略、基于电池荷电状态(State of charge,SOC)修正的分配策略和基于SOC和电动机需求功率的模糊分配控制策略,并结合国家863燃料电池城市客车项目进行了仿真分析,比较了各种能量分配控制策略的优缺点。分析结果认为基于SOC和电动机需求功率的模糊分配控制策略具有较强的鲁棒性,工况适应性好,是一种值得研究和应用的控制策略。

关键词: 城市客车, 控制策略, 燃料电池混合动力汽车, 多目标优化, 非对称实Laplace小波, 故障特征提取, 交叉熵, 轮对轴承

Abstract: As its high efficiency and cleanness, fuel cell hybrid electrical vehicles(FCHEVs) have become the focus of the public. The control strategy, which influences the economic and dynamic performance of the vehicle, is one of the main aspects of vehicle system design. Four control strategies, constant charging voltage strategy, power distribution strategy based on bus voltage, power distribution according to the battery SOC(State fo charge), fuzzy logic control strategy based on both battery SOC and motor load, are presented. Through simulation calculation of model fuel cell city bus of National 863 Project, these four control strategies are compared and discussed. Analyses show that the fuzzy logic control is more robust and more suitable for FCHEVs.

Key words: City bus, Control strategy, Fuel cell hybrid electrical vehicle, Anti-symmetric real Laplace wavelet, Cross entropy, Fault feature extraction, Multi-objective optimization, Wheel-bearing

中图分类号: