锂离子电池参数辨识与状态估计  

Parameter Identification and State Estimation of Lithium-ion Battery

作　　者：蔡俊 CAI Jun(Damen Changde Shipyard,Changde 415000,China)

机构地区：[1]常德达门船舶有限公司,湖南常德415000

出　　处：《机械工程师》2023年第1期18-20,25,共4页Mechanical Engineer

摘　　要：对锂离子动力电池的电化学特性进行分析,基于其电化学特性在Matlab/Simulink建立了能斯特模型,仿真实验证明了电池模型的准确性,以RC二阶等效电路模型基于最小二乘法进行在线参数辨识,并引入卡尔曼滤波算法进行SOC估算,完成对电池管理系统的初步设计与验证,并在Matlab/Simulink中通过仿真证明了改进模型在纯电工况下的可行性与准确性。The electrochemical characteristics of the lithium-ion power battery are analyzed, and the Nernst model is established in Matlab/Simulink based on its electrochemical characteristics. The simulation experiment proves the accuracy of the battery model. The RC second-order equivalent circuit model is based on the least squares method. This paper carries out online parameter identification, and introduces Kalman filter algorithm for SOC estimation, completes the preliminary design and verification of the battery management system, and proves the feasibility and accuracy of the improved model under pure electric conditions through simulation in Matlab/Simulink.

关 键 词：锂离子动力电池 蓄电池管理系统 电池模型 SOC 参数辨识 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术] TN9[电子电信—信息与通信工程]