电源学报2025，Vol.23Issue(2)：256-265,10.DOI:10.13234/j.issn.2095-2805.2025.2.256
基于分数阶的锂电池SOC和SOH联合在线估计
Joint Online Estimation of SOC and SOH for Lithium Batteries Based on Fractional-order Models
摘要
Abstract
The accurate estimation of the state-of-charge(SOC)and state-of-health(SOH)of lithium-ion batteries is always a key scientific prob-lem that needs to be solved urgently.In this paper,based on a second-order fractional-order equivalent circuit model,the state space equation of a lithium-ion battery is established,and the discretization expressions of fractional-order differential and integral equations of battery parameters and SOC are derived.Then,a dual fractional-order extended Kalman filter method is studied to estimate the equivalent circuit parameters,SOC and battery capacity simultaneously.In addition,a time weighting sequence method based on estimated SOC and battery capacity is proposed,different discharge currents and cumulative time are monitored,and the available capacity of the battery is calculated online,thus achieving real-time estimation of the SOH of the battery at any discharge depth and any discharge rate.Finally,under the conditions of dynamic stress test,three lithium iron phosphate batteries of the same manufacturer,the same model and different aging degrees were used for experimental verification.关键词
锂离子电池/分数阶模型/双分数阶扩展卡尔曼滤波器/时间加权序列方法Key words
Lithium-ion battery/fractional-order model/dual fractional-order extended Kalman filter/time weighting sequence method分类
动力与电气工程引用本文复制引用
王辉,严欢,张晓滨,岳园园,孙向东..基于分数阶的锂电池SOC和SOH联合在线估计[J].电源学报,2025,23(2):256-265,10.基金项目
国网陕西省电力有限公司科学技术资助项目(SGS NJY00GPJS2200015) （SGS NJY00GPJS2200015）
国家自然科学基金资助项目(52477196) （52477196）
西安市科技计划资助项目(24GXFW0067)This work is supported by Science and Technology Project of State Grid Shaanxi Electric Power Co.,Ltd.under the grant SGSNJY00 GPJS2200015 （24GXFW0067）
National Natural Science Foundation of China under the grant 52477196 （）
Xi'an Science and Technology Project under the grant 24GXFW0067 （）
