基于Levenberg-Marquardt算法的锂电池直流内阻预估方法  

Prediction method of DC internal resistance of lithium battery based on Levenberg-Marquardt algorithm

作　　者：金宇明 JIN Yuming(Renmin University of China,Beijing 100872,China)

机构地区：[1]中国人民大学,北京100872

出　　处：《计算机应用文摘》2025年第3期49-51,共3页

摘　　要：准确估计锂离子电池(LIB)的直流内阻(DCR)对于电池化学体系开发至关重要。文章采用Levenberg-Marquardt算法对锂离子软包电池在不同开路电压、温度、充放电电流及充放电时段的DCR进行了估算。这些DCR数据是通过在-25~40°C的温度范围内施加恒电流充放电循环负载获得的。研究结果显示,Levenberg-Marquardt算法实现了充放电DCR的1.1×10^(-5)MSE,这充分反映了该算法的准确性及稳定性。Accurately estimating the direct current resistance(DCR)of lithium-ion batteries(LIBs)is crucial for the development of battery chemistry systems.This article uses the Levenberg Marquardt algorithm to estimate the DCR of lithium-ion soft pack batteries at different open circuit voltages,temperatures,charge and discharge currents,and charge and discharge periods.These DCR data were obtained by applying constant current charge discharge cyclic loads within the temperature range of-25 to 40°C.The research results show that the Levenberg Marquardt algorithm achieved a 1.1×10^(-5)MSE for charge discharge DCR,which fully reflects the accuracy and stability of the algorithm.

关 键 词：LEVENBERG-MARQUARDT算法 DCR 锂电池直流电阻 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]