Optimal fuzzy power control and management of fuel cell/battery hybrid vehicles

被引：211

作者：

Li, Chun-Yan ^{[1
]}

Liu, Guo-Ping ^{[2
,3
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China

[2] Univ Glamorgan, Fac Adv Technol, Pontypridd CF37 1DL, M Glam, Wales

[3] Harbin Inst Technol, Ctr Control Theory & Guidance Technol, Harbin, Peoples R China

来源：

JOURNAL OF POWER SOURCES | 2009年 / 192卷 / 02期

基金：

国家高技术研究发展计划(863计划);

关键词：

Fuel cell hybrid vehicle; Power management; Degree of hybrid; Optimization; Fuzzy control; OPTIMIZATION; CELL; STRATEGY; DESIGN;

D O I：

10.1016/j.jpowsour.2009.03.007

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

Hybrid electric vehicles powered by fuel cells have been focused for alternative powertrains due to their high efficiency and low emission. The relative engine sizing and power split strategy of different power sources have great effect in influencing the fuel economy. In this paper, for a given driving cycle, the overall efficiency of a fuel cell/battery hybrid vehicle is maximized by identifying the best degree of hybridization (DOH) and a power control strategy. Fuzzy logic is used in power distribution of the hybrid vehicle, where the optimized centers and widths of membership functions are found by optimization. Simulation results show that the optimally designed and controlled hybrid vehicle can provide good fuel economy and overall system efficiency. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：525 / 533

页数：9

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