[1]王爱华 ,陈耀斌.燃料电池混合动力汽车驱动系统的优化控制[J].智能系统学报,2009,4(04):363-368.
 WANG Ai-hua,CHEN Yao-bin.Optimizing the energy management system ofa parallel fuel cell hybrid electric vehicle[J].CAAI Transactions on Intelligent Systems,2009,4(04):363-368.
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第4卷
期数:
2009年04期
页码:
363-368
栏目:
出版日期:
2009-08-25

文章信息/Info

Title:
Optimizing the energy management system ofa parallel fuel cell hybrid electric vehicle
文章编号:
1673-4785(2009)04-0363-06
作者:
王爱华12 陈耀斌2
1.南京工业职业技术学院 电气系,江苏 南京 210046;
2.Transportation Active Safety School Purdue,Institute of Engineering and Technology, Indianapolis 46202, USA
Author(s):
WANG Ai-hua1 2 CHEN Yao-bin2
1. Department of Electrical and Automation Engineering, Nanjing Institute of Industry Technology, Nanjing, 210046, China;
2.Transportation Active Safety School Purdue,Institute of Engineering and Technology, Indianapolis 46202, USA
关键词:
燃料电池混合动力汽车能量控制策略序列二次规划算法
Keywords:
fuel cell hybrid electric vehicleenergy control strategysequential quadratic programming
分类号:
TP18
文献标志码:
A
摘要:
为了既提高整车系统效率,又维持燃料电池和蓄电池工作在各自的高效区,提出了一种全局优化与局部协调相结合的燃料电池混合车的能量控制策略的设计思想.首先形成一个非线性、具有限制的、以整车系统效率最大为目标的优化问题,然后选用序列二次规划法算法求解.为保证各子系统工作在最优的范围内,利用燃料电池动态特性慢的特点,采用蓄电池第一优先使用的策略.仿真结果表明,所提议的优化控制策略提高了整车系统的效率,维持了蓄电池的荷电状态在合理的区间,同时使燃料电池也工作在高效区.
Abstract:
This paper presents a design philosophy for optimizing energy management strategies for fuel cell hybrid electric vehicles, combining global optimization and local coordination. First, a nonlinear optimization problem subject to a set of constraints was formulated and then solved using a sequential quadratic programming algorithm. In order to ensure optimal operating states of subsystems, the battery was always prioritized because fuel cell dynamic behavior is slower. Computer simulation results demonstrated that the proposed method raised the efficiency of the whole system. In addition,it showed that the battery works within its highefficiency range.

参考文献/References:

[1]WANG A. Novel design of energy control strategy for parallel hybrid electric vehicle[J]. Transactions of Nanjing University of Aeronautics & Astronautics, 2009, 26(2): 107113.
[2]KIM M J, PENG H, LIN C C, et al. Testing, modeling, and control of fuel cell hybrid vehicle[C]// Proc ACC, Portland, USA, 2005:3859 3864.
[3]ZHANG R, CHEN Y. Control of hybrid dynamic systems for electric vehicles[C]//Proc ACC, Arlington, VA:[s.n.],2001:103108. 
[4]WANG A, YANG W. Design of energy management strategy in hybrid vehicles by evolutionary fuzzy system [C]//Intelligent Control and Automation, Dalian, 2006, 2: 83248328
[5]WANG A. An intelligent energy management and control system for hybrid electric vehicles[D].West Lafayette: Purdue University, 2001.
[6]CHO H Y. A new power control strategy for fuel cell hybrid vehicles [D]. Starkville: Mississippi State University, 2004
 [7]ZHU Y, CHEN Y, WU Z, WANG A. Optimization designof an energy management strategy for hybrid vehicles[J]. Int J Alternative Propulsion, 2006, 1(1):4762.
[8]朱元,吴志红,田光宇. 基于马尔可夫决策理论的燃料电池混合动力汽车能量管理策略[J]. 汽 车工程,2006, 28(9):798802.
ZHU Yuan. WU Zhihong, TIAN Guangyu. An energy management strategy for fuel cell hybrid electric vehicle based on Markov decision process[J].Automotive Engineering, 2006, 28(9):798802.

备注/Memo

备注/Memo:
收稿日期:2009-03-12.
通信作者:王爱华.E-mail:annehuai@yahoo.com.cn.
作者简介:
王爱华,女,1954年生,副教授(访问学者).主要研究方向为建模与仿真、人工智能、控制算法、智能系统工程.
陈耀斌,男,1960年生,教授. 主要研究方向为人工智能、生物系统建模与仿真.
更新日期/Last Update: 2009-11-16