改进WOA的单液流锌镍电池充电策略  

Charging strategy of single-flow zinc-nickel battery based on improved WOA

作　　者：宋春宁[1] 莫伟县 苏有平 SONG Chun-ning;MO Wei-xian;SU You-ping(College of Electric Engineering,Guangxi University,Nanning,Guangxi 530004,China)

机构地区：[1]广西大学电气工程学院,广西南宁530004

出　　处：《电池》2021年第2期138-142,共5页Battery Bimonthly

基　　金：国家自然科学基金资助项目(51767005);广西自然科学基金项目(2016GXNSFAA380328)。

摘　　要：采用改进的鲸鱼优化算法(WOA)优化充电电流,实现对单液流锌镍电池的充电控制。采用脉冲电流对电池进行充电实验,建立Thevenin等效电路模型并进行参数辨识,运用扩展卡尔曼滤波(EKF)实现荷电状态(SOC)估算。构建的单液流锌镍电池充电时间-能耗模型,以缩短充电时间、降低能量损耗为目标,采用权重系数将时间-能耗的双目标模型转换为单目标模型;将0~95%的SOC分为19个阶段,并设置相对应的充电电流值,使用改进WOA优化19个电流值,求出最优的充电时间与能耗。在单液流锌镍电池充电过程中,用改进的WOA对电流优化后,与0.5 C恒流充电方法相比,能耗减少了1.58%、时间缩短了2.27%。The improved whale optimization algorithm(WOA)was used to optimize the charging current to realize the charging control of the single-flow zinc-nickel battery.The charging experiment of the battery was carried out by pulse current.A Thevenin equivalent circuit model was established and its parameters were identified.The extended Kalman filter(EKF)was used to realize the state of charge(SOC)estimation.In order to shorten the charging time and reduce the energy loss,the double objective model of time-energy consumption was transformed into a single objective model by weight coefficient.The 0-95%SOC was divided into 19 stages;the corresponded charging current value was set.The 19 current values were optimized by using the improved WOA to find out the optimal charging time and energy consumption.In the charging process of the single-flow zinc-nickel battery,the current was optimized by improved WOA,the energy consumption was reduced by 1.58%and the time was shortened by 2.27%compared with the charging method of the galvanostatic at 0.5 C.

关 键 词：单液流锌镍电池 鲸鱼优化算法(WOA) 时间-能耗模型 扩展卡尔曼滤波(EKF) 

分 类 号：TM912.9[电气工程—电力电子与电力传动]