基于采样策略实时切换的SRUKF算法的SOC估计  

SOC estimation of SRUKF algorithm based on real-time switching of sampling strategy

作　　者：徐钦赐 宋年秀 赵玉兰 李正辉 XU Qinci;SONG Nianxiu;ZHAO Yulan;LI Zhenghui(School of Machinery and Automotive Engineering,Qingdao University of Technology,Qingdao Shandong 266520,China)

机构地区：[1]青岛理工大学机械与汽车工程学院,山东青岛266520

出　　处：《电源技术》2021年第7期907-910,952,共5页Chinese Journal of Power Sources

基　　金：山东自然科学基金面上项目(ZR2019MEE089)。

摘　　要：针对混合动力汽车用氢镍电池SOC估算问题,根据氢镍电池的动态特性,建立了带有滞回特性的二阶RC等效电路模型。根据电池的化学反应特性,利用带遗忘因子的递推最小二乘法和最小二乘法进行参数辨识;采用采样策略实时切换的SRUKF算法进行SOC的估算。该方法可以比现阶段采用的SRUKF方法缩短将近一半的采样时间,在保证精度的前提下提高运行速度。通过仿真曲线以及误差曲线对比结果表明,采用采样策略实时切换的SRUKF算法可以快速追踪到SOC参考值,有较高的估算精度,SOC误差曲线显示SOC估算误差小于2%。Aiming at the problem of SOC estimation of nickel-metal hydride batteries for hybrid electric vehicles,according to the dynamic characteristics of nickel-metal hydride batteries,a second-order RC equivalent circuit model with hysteresis characteristics was established.According to the chemical reaction characteristics of the battery,the recursion with forgetting factor was used.Least squares and least squares methods were applied for parameter identification;SRUCF algorithm with real-time switching of sampling strategy was adopted to estimate SOC.This method can shorten the sampling time by nearly half compared with the current SRUCF method,and increase the operating speed while ensuring accuracy.The simulation curve and error curve results show that the SRUCF algorithm with real-time switching of the sampling strategy can track the SOC reference value quickly with high estimation accuracy.The SOC error curve shows that the SOC estimation error is less than 2%.

关 键 词：氢镍电池 荷电状态 采样策略 平方根无迹卡尔曼滤波 

分 类 号：TM912[电气工程—电力电子与电力传动]