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作 者:吴晓刚[1,2] 侯维祥 帅志斌[3] 高明明 WU Xiao-gang;HOU Wei-xiang;SHUAI Zhi-bin;GAO Ming-ming(College of Electrical and Elcctronics Engineering, Harbin University of Science and Tcchnology ,Harbin 150080,China;State Key Laboratory of Automotive Safety and Energy,Tsinghua University, Beijing 100084 China;Science and Tcchnology on Vehicle Transmission Laboratory China North Vehicle Research Institute Beijing 100072 China)
机构地区:[1]哈尔滨理工大学电气与电子工程学院,黑龙江哈尔滨150080 [2]清华大学汽车安全与节能国家重点实验室,北京100084 [3]中国北方车辆研究所车辆传动重点实验室,北京100072
出 处:《电机与控制学报》2017年第11期114-124,共11页Electric Machines and Control
基 金:国家自然科学基金青年基金(51105220);黑龙江省自然科学基金(E201451);清华大学汽车安全与节能国家重点实验室开放基金(KF16062)
摘 要:以带有半主动复合储能系统构型的纯电动客车作为研究对象,提出了一种以最小电池耗能及电池功率变化作为目标函数的凸优化方法。在中国哈尔滨城市公交道路工况的基础上,对所提优化方法与基于规则的功率分配策略进行能效及电池功率变化的对比分析。仿真结果表明,在中国哈尔滨城市公交道路工况条件下,采用所提凸优化功率分配策略,电池及超级电容的综合能效分别为93.46%和98.81%,电池功率的均方差为5.3153 k W,较之基于规则的功率分配策略,电池及超级电容的综合能效分别提高了0.74%和0.26%,电池功率均方差降低了46.91%。基于此功率优化分配方法能够有效的改善电动汽车的运行特性。Convex optimization was proposed in order to minimize energy consumption and battery power variation for a semiactive hybrid energy storage system of an electric city bus.Rulebased optimization method and proposed power allocation strategy were compared based on an electric city bus running the Harbin city driving cycle in respect of analysis of energy efficiency and battery power variation.The simulation results show with convex optimization power allocation strategy,battery energy efficiency,super capacitor comprehensive energy efficiency and the battery power mean square error were98.81%,93.46%and5.3153kW.Compared with rulebased power allocation strategy,comprehensive energy efficiency of batteries and super capacitors of convex optimization results were increased by0.74%and0.26%respectively and its battery power variance was decreased by46.91%.The operating characteristics of electric vehicles was improved by the proposed power optimization method.
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