电池2024，Vol.54Issue(4)：542-547,6.DOI:10.19535/j.1001-1579.2024.04.021
基于弛豫电压模型的锂离子电池RUL预测
RUL prediction of Li-ion battery based on relaxation voltage model
摘要
Abstract
Li-ion battery exhibits a nonlinear degradation trend over long-term use.Predicting nonlinear degradation is crucial for extend battery life and ensure safety.A nonlinear degradation knee-point prediction method using relaxation voltage as a feature sequence is proposed,which enables joint prediction of knee-point and remaining useful life (RUL) .A framework for RUL prediction combining knee-point degradation features is established to improve prediction accuracy.The proposed joint prediction method is validated on different battery datasets using transfer learning,the mean absolute error for knee-point and RUL prediction is below 26 cycles,the root mean squared error is below 28 cycles.This method uses relaxation voltage to predict knee-point and RUL,thereby indirectly predicting the state of health (SOH) of battery,with advantages in prediction accuracy and broad applicability.关键词
锂离子电池/剩余使用寿命(RUL)/拐点预测/弛豫电压/健康状态(SOH)Key words
Li-ion battery/remaining useful life (RUL)/knee-point prediction/relaxation voltage/state of health (SOH)分类
信息技术与安全科学引用本文复制引用
翟健帆,李波,李永利,邓炜..基于弛豫电压模型的锂离子电池RUL预测[J].电池,2024,54(4):542-547,6.基金项目
电化学储能电站安全健康监控关键技术研究与应用示范项目(020-GN-B-2022-c45-p.0.99-01625) （020-GN-B-2022-c45-p.0.99-01625）
