汽车电池充电负荷波动抑制方法与仿真  

Method and Simulation of Charging Load Fluctuation Suppression of Automobile Battery

作　　者：丁徐强 王琪[2] DING Xu-qiang;WANG Qi(Nantong Institute of Technology,College of Automotive Engineering,Jiangsu Nantong 226002,China;Jiangsu University of Science and Technology,School of Mechanical Engineering,Jiangsu Zhenjiang 212100,China)

机构地区：[1]南通理工学院汽车工程学院,江苏南通226002 [2]江苏科技大学机械工程学院,江苏镇江212100

出　　处：《计算机仿真》2023年第12期145-149,共5页Computer Simulation

摘　　要：受温度以及使用时间影响,汽车电池状态存在不确定性,且充电电压和电流波动会导致电池充电效率降低,增加了电池充电负荷波动抑制难度。为此提出考虑驾驶特性的汽车电池充电负荷波动抑制方法。分析汽车电池的充电特性,在此基础上分析驾驶特性,包括充电时长和日行驶里程;以驾驶特性作为依据,将符合充电站功率需求和减少负荷波动作为优化目标,建立第一层目标函数,将降低电流波动、最大化用户利益作为优化目标,建立第二层目标函数;采用自适应变异粒子群算法,求解目标函数,实现汽车电池充电的负荷波动抑制。仿真结果表明,所提方法可有效抑制负荷波动,降低了负荷峰谷差。Due to the influence of temperature and use time,the state of automobile batteries is uncertain,and the fluctuation of charging voltage and current may lead to a decrease in battery charging efficiency,thus increasing the difficulty of suppressing the fluctuation of battery charging load.Therefore,a method for suppressing the fluctua⁃tion of automobile battery charging load considering driving characteristics was presented.Firstly,we analyzed the charging characteristics of car batteries.On this basis,we analyzed the driving characteristics,including charging du⁃ration and daily mileage.Based on the driving characteristic,we constructed the first-layer objective function in order to achieve power demand for charging stations and reduce load fluctuations.In order to reduce current fluctuations and maximize user benefits,we constructed the second-layer objective function.Meanwhile,we used the adaptive muta⁃tion particle swarm optimization algorithm to solve the objective function,thus achieving the charging load fluctuation suppression for automotive batteries.Simulation results show that the proposed method can effectively suppress load fluctuation and reduce the peak-valley difference of load.

关 键 词：驾驶特性 日行驶里程 汽车电池 负荷波动抑制 自适应变异粒子群优化算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]