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作 者:周美兰[1] 刘俊鹏 杨明亮 ZHOU Mei-lan;LIU Jun-peng;YANG Ming-liang(School of Electric and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China)
机构地区:[1]哈尔滨理工大学电气与电子工程学院,哈尔滨150080
出 处:《哈尔滨理工大学学报》2020年第6期30-39,共10页Journal of Harbin University of Science and Technology
基 金:国家自然科学基金(51877057).
摘 要:针对纯电动客车复合储能系统中动力电池输出功率高的问题,制定了模糊控制策略和基于滤波思想的控制策略。在MATLAB-CRUISE联合仿真环境下搭建整车模型,分别在中国城市道路工况和哈尔滨城市道路工况下进行仿真。给出了复合储能系统采用模糊控制策略和滤波控制策略时的功率曲线、动力电池荷电状态变化曲线以及动力电池电流分布曲线。仿真结果表明,在中国城市道路工况下,相比于滤波控制策略,采用模糊控制策略,动力电池最大输出功率降低0.82 kW,SOC(state of charge)值提高0.062%,节约能量1.1603 kW·h。在哈尔滨城市道路工况下,相比于采用滤波控制策略,采用模糊控制策略,动力电池最大输出功率降低0.99 kW,SOC值提高0.125%,减少能耗1.6825 kW·h。仿真结果表明制定的复合储能系统模糊控制策略能够降低动力电池输出功率,提高制动能量回收效率。Given the excessive battery power in the composite energy storage system,two power allocation control strategies were developed,namely,fuzzy control strategy and the filter control strategy.The vehicle model was constructed based on the MATLAB-CRUISE,and simulation is carried out in the urban road conditions in China and urban road conditions in Harbin respectively.The power curve of the composite energy storage system,the change curve of the state of charge and the current distribution curve of the battery with fuzzy control strategy and filter control strategy are given.Simulation results show that compared with the filter control strategy,the fuzzy control strategy improves SOC(state of charge)of the battery by 0.062%,the energy saving is 1.1603 kW·h and the maximum output power is reduced by 0.82 kW in the urban road conditions in China.Compared with the filter control strategy,the fuzzy control strategy improves SOC of the battery by 0.125%,reduces energy consumption by 1.6825 kW·h and the maximum output power is reduced by 0.99 kW in the urban road conditions in Harbin.The simulation and results show that proposed the fuzzy control strategy of composite energy storage system can reduce the output power of the battery and recover braking energy effectively.
分 类 号:TM912[电气工程—电力电子与电力传动]
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