电源学报2025,Vol.23Issue(2):266-273,8.DOI:10.13234/j.issn.2095-2805.2025.2.266
锂电池的分数阶建模及状态估计方法研究
Fractional-order Modeling and State Estimation Method for Lithium Battery
摘要
Abstract
To enhance the accuracy of a lithium battery model and realize accurate state estimation of the lithium battery,a fractional-order electric model of the lithium battery was built,and the model parameters were identified using adaptive genetic algorithm.Based on the fractional-order electric model,the unscented Kalman filter was adopted to estimate the lithium battery's state-of-charge(SOC)and state-of-health(SOH).Stimulation results show that,the established fractional-order electric model of the lithium battery can more accurately describe its dynamic characteristics during charging and discharging,and the accuracy of the proposed state estimation strategy was higher than that the conventional control strategy.关键词
分数阶/锂电池/参数辨识/荷电状态/无迹卡尔曼Key words
Fractional-order/lithium battery/parameter identification/state-of-charge(SOC)/unscented Kalman分类
信息技术与安全科学引用本文复制引用
许志华..锂电池的分数阶建模及状态估计方法研究[J].电源学报,2025,23(2):266-273,8.基金项目
江苏省高校"青蓝工程"资助项目(2021-11)This work is supported by"Blue Project"of Colleges and Universities in Jiangsu Province under the grant 2021-11 (2021-11)