摘要
为了方便实时估算三元锂电池的荷电状态,对三元锂电池建立二阶RC模型,结合混合脉冲充放电试验并通过最小二乘法对二阶RC模型进行参数识别,提出基于安时积分法策略的扩展卡尔曼滤波的荷电状态估算方法.在Matlab/Simulink中建立仿真模型,仿真结果表明,与实际的荷电状态值相比,该估算方法可以估计电池的荷电状态,误差在3%以内.
To facilitate accurate estimation charge (SOC) state of the ternary lithium battery in real time, a second-order RC model for ternary lithium batteries is firstly built. Then, mixed pulse charge-discharge experiment (HPPC) is carried out and the least squares method is used for identifying parameter of the second-order RC. Finally, SOC estimation method based on the extended Kalman filter is proposed. A simulation model is established in Matlab/Simulink. The simulation results show that the estimation of SOC of batteries is accurate with error rate of less than 3% compared with actual SOC.
作者
陈元丽
赵振东
陈素娟
CHEN Yuan-li;ZHAO Zhen-dong;CHEN Su-juan(School of Automotive & Rail Transit,Nanjing Institute of Technology,Nanjing 211167,China)
出处
《南京工程学院学报（自然科学版）》
2019年第3期16-20,共5页
Journal of Nanjing Institute of Technology(Natural Science Edition)
基金
江苏省重点研发计划项目(BE2017008-3)
江苏省研究生科研与实践创新计划项目(SJCX18-0588)
关键词
荷电状态
安时积分法
扩展卡尔曼滤波
仿真模型
state of charge
Ampere-time integration method
extended Kalman filter
simulation model
