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燃料电池观光车系统建模与能量管理的研究

Research on system modeling and energy management of fuel cell sightseeing vehicle
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摘要 为了解决燃料电池观光车能量管理的问题,建立了燃料电池观光车整车及零部件模型,设计开发了车载恒温器控制策略,并通过整车及零部件台架试验验证了模型的准确性;为了提升整车经济性及耐久性,提出了一种新的基于二次型效用函数的改进策略,并通过KKT条件获得了实时最大收益,最后开发了一种多目标闪电搜索算法,并通过该算法求解了策略的最佳参数。仿真结果表明,与恒温器控制略相比,所提出的改进策略可以提升1.7%的续驶里程,耐久性提高11.2%;并且该策略兼顾了SOC状态,结合了整车及零部件的历史输出功率信息,工况适应性强。 In order to solve the energy management problem of fuel cell sightseeing vehicle,the model of fuel cell sightseeing vehicle and its components are established,and the thermostat control strategy is designed.The accuracy of the model is verified by the bench test.In order to improve the economy and durability of the vehicle,a novel strategy based on quadratic utility function is proposed,and the real-time maximum benefit is obtained by KKT condition.Finally,a multi-objective lightning search algorithm is designed,and the optimal parameters of the novel strategy are solved by the algorithm.Simulation results show that compared with thermostat control,the proposed strategy can improve the driving range by 1.7%and durability by 11.2%.In addition,the strategy takes into account the sOC and com bines the historical output power information of the vehicle and its components.The novel strategy also has a strong adaptability to working conditions.
作者 裴一啸 尹必峰 孙闫 高海宇 Pei Yixiao;Yin Bifeng;Sun Yan;Gao Haiyu(School of Automotive and Traffice Engineering,Jiangsu University,Zhenjiang 212013,China;Fuel Cell Vehicle Technology Research Center,D.R.Power Technology Co.,Ltd,Jiaxing 314000,China)
出处 《电子测量技术》 北大核心 2023年第3期25-31,共7页 Electronic Measurement Technology
基金 江苏省重点研发计划(BE2019006-3)项目资助
关键词 燃料电池 能量管理 KKT条件 闪电搜索算法 fuel cell energy management strategy KKT conditions lightning search algorithm
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