摘要
为实现锂离子电池SOC的准确估算,对传统的Thevenin等效电路模型进行了改进:构建考虑容量变化的二阶Thevenin模型;探究电池实际容量的变化情况,并利用其在模型中进行容量修正;改进HPPC实验对电路模型进行参数辨识,获取相关参数的变化情况;将获取的参数应用于仿真中,将等效电路模型与扩展型卡尔曼滤波结合起来,将仿真与实际测试结果进行比较。研究结果表明:温度和放电倍率对电池实际可用容量影响较大;等效电路模型的参数值也和环境温度密切相关;细化参数的辨识条件后的模型与卡尔曼滤波结合,可以将SOC的估计精度控制在2%以内。
For the accurate estimation of SOC of lithium battery,the traditional Thevenin equivalent circuit model were improved. The second order Thevenin model was constructed considering the capacity changes. The changes in the actual capacity of the battery were explored and results were used in the model for capacity correction. The HPPC experiment was improved to identify the parameters and obtain the relevant parameters changes. The parameters were applied to the simulation,the simulation results and actual test results were compared. The research indicated： temperature and discharge rate greatly affected the practical capacity of the battery. The parameters of the equivalent circuit model were closely related to the ambient temperature. Combining the model after refinement identification conditions of parameters with the Kalman filter,the estimation accuracy of SOC could be controlled within 2%.
出处
《现代机械》
2018年第3期84-89,共6页
Modern Machinery
