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基于凸优化的城轨列车车载复合储能控制系统优化方法

Optimal control of on-board composite energy storage of urban rail train based on convex optimization method
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摘要 针对城轨列车复合储能系统的功率匹配不佳、能量利用率不高等问题,提出了一种凸优化能量控制策略.通过建立主动式复合储系统,进行系统模型的凸优化,以电池SOC和成本为目标函数,进行最优化分析,利用MATLAB进行仿真.仿真结果表明:该方法得到了全局最优能耗成本,电池的SOC达到最优,使整车的系统能量利用率提升9.6%,降低了系统的能耗,提高了整车经济性和稳定性. A convex optimization energy control strategy is proposed to solve the problems of poor power matching and low energy utilization of urban rail train composite energy storage system.By establishing the active composite storage system,the convex optimization of the system model is carried out.Taking the battery SOC and cost as the objective function,the optimization analysis is carried out,and the simulation is carried out by MATLAB.The simulation results show that the proposed method obtains the global optimal energy consumption cost,optimizes the SOC of the battery,improves the system energy utilization of the whole vehicle by 9.6%,reduces the system energy consumption,and improves the economy and stability of the whole vehicle.
作者 王琼 王晓侃 WANG Qiong;WANG Xiaokan(Northern Arizona University,Flagstaff 86001,USA;Henan Electrical and Mechanical Vocational College,Xinzheng 451191,China)
出处 《中南民族大学学报(自然科学版)》 CAS 北大核心 2023年第2期224-228,共5页 Journal of South-Central University for Nationalities:Natural Science Edition
基金 河南省重点研发与推广专项项目(222102210024,202102210269) 河南省高校重点科研项目(22A460013,22B413004)。
关键词 凸优化 能量控制 全局最优 荷电状态 convex optimization energy control global optimization SOC
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