电动汽车锂离子电池荷电状态估算方法研究

Research on State-of-charge Estimation Method of Lithium-ion Batteries in Electric Vehicles

电动汽车动力锂电池内部充电状态的评估是电池管理系统状态评估模块的核心。不能用仪器直接测量,只能通过测量蓄电池的外部电流、电压等参数进行评估。准确评估充电状态对于控制电池寿命、功率和安全性非常重要。根据算法的不同,分为传统的开路电压法、电流积分法、基于数据传输的机器学习阻抗法、基于模型的卡尔曼滤波算法、粒子滤波算法和融合算法。介绍不同评估算法的计算原理,分析比较了不同评估算法的计算复杂度和精度。针对当前锂离子电池充电评估研究中存在的问题,指出锂离子电池充电评估的研究方向和未来发展方向是更具通用性、更高精度和更好实时性的多种评估方法。

The evaluation of the internal charging state of the electric vehicle power lithium battery is the core of the battery management system state evaluation module.It cannot be measured directly with the instrument,but can only be evaluated by measuring the external current,voltage and other parameters of the battery.Accurately assessing the state of charge is important to control battery life,power,and safety.According to the different algorithms,it is divided into traditional open-circuit voltage method,current integration method,machine learning impedance method based on data transmission,model-based Kalman filter algorithm,particle filter algorithm and fusion algorithm.The calculation principles of different evaluation algorithms are introduced,and the computational complexity and accuracy of different evaluation algorithms are analyzed and compared.In view of the problems existing in the current lithium-ion battery charging evaluation research,it is pointed out that the research direction and future development direction of lithium-ion battery charging evaluation are more versatile,higher precision and better real-time evaluation methods.