燃料电池汽车动力系统匹配及能量管理  被引量:2

Power system matching and energy management of fuel cell vehicle

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作  者:肖哲 王宇宁[1] 赵国强 黄斌[1] XIAO Zhe;WANG Yuning;ZHAO Guoqiang;HUANG Bin(School of Automotive Engineering,Wuhan University of Technology,Wuhan,Hubei 430070,China)

机构地区:[1]武汉理工大学汽车工程学院,湖北武汉430070

出  处:《江苏大学学报(自然科学版)》2024年第3期273-280,共8页Journal of Jiangsu University:Natural Science Edition

基  金:先进能源科学与技术广东省实验室佛山分中心(佛山仙湖实验室)开放基金资助项目(XHD2020-003)。

摘  要:为了分析燃料电池汽车动力系统参数匹配设计以及能量管理方案对整车性能的影响,以某款燃料电池汽车为研究对象,对其主要动力系统部件进行了参数匹配.以提升整车经济性能为目标,提出了功率跟随式能量管理策略和基于模糊控制的能量管理策略,并采用滑动平均滤波算法对模糊控制策略输出量进行优化.基于AVL-Cruise和Simulink建立了联合仿真平台,搭建整车及能量管理系统模型,验证了整车动力性能,对比分析了3种控制策略下的整车经济性能.结果表明:经过优化后的能量管理策略燃料电池输出功率曲线更加平滑,且一直处于高效率输出区间内,基于燃料电池优先保护原则,经过优化后的能量管理策略性能最佳.To analyze the impact of the power system parameter matching design and energy management scheme on the vehicle performance,taking a fuel cell vehicle as research object,the parameters of main power system components were matched.The power-following energy management strategy and the fuzzy control-based energy management strategy were proposed to improve the economic performance of the vehicle,and the sliding average filtering algorithm was used to optimize the output of the fuzzy control strategy.To model the vehicle and energy management system,the joint simulation platform was established based on AVL-Cruise and Simulink to verify the power performance of the vehicle,and the economic performance of the vehicle under three control strategies was comparatively analyzed.The results show that the fuel cell output power curve of the optimized energy management strategy is smoother and is always within the high-efficiency output interval.Based on the principle of fuel cell priority protection,the optimized energy management strategy has the best performance.

关 键 词:燃料电池汽车 动力匹配 能量管理 功率跟随 模糊控制 

分 类 号:U469.72[机械工程—车辆工程]

 

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