基于分数阶长相关模型的锂电池容量寿命预测

打开文本图片集

主题词：锂电池分数阶Poisson过程长相关Hurst指数 剩余寿命中图分类号：U461.7 文献标志码：A DOI：10.19620/j.cnki.1000-3703.20250325

RemainingUseful Life Prediction ofLithium Battery Capacity Based onFractional Long Range Dependence Model

Chen Yiying，Song Wanqing，Yang Xianhua，LinJianhua，Wu Zhengyang （School of Electronicand Electrical Engineering，Minnan Universityof Scienceand Technology，Quanzhou 362700）

【Abstract】To addressthe issues of long-range dependence （where current data relies on historical degradation data） andsignificantjumpcharacteristicsduringthenonlineardegradationprocessoflithium-ionbaterycapacity，afractional Poisson process （ fPp ）differential prediction modelis proposed.The Hurst exponentisutilized to verifythat the model exhibits jumpandlong-range dependence properties，while themaximum likelihood methodisadopted for model parameter identification，resolvingtheproblemsofrandomjumpsandlong-rangedependenceinlifetime prediction.Finally，theostant curent-constantvoltage（CC-CV）datasetof lithium-ionbatterydegradationprocessesfromtheNationalAeronauticsand SpaceAdministration （NASA）isemployedasacasestudytodemonstratetheadvantagesofthefPpdiferential prediction model.

Keywords： Lithium Battery，Fractional Poisson process，Long-range dependence Hurst exponent， Remaininguseful life

【引用格式】陈毅莹，宋万清，杨先花，等.基于分数阶长相关模型的锂电池容量寿命预测[J].汽车技术，2025（12）：40-46. CHENYY，SONG WQ，YANG XH，etal.Remaining Useful Life Prediction of Lithium Batery Capacity Basedon Fractional LongRangeDependence Model[J].Automobile Technology，2025（12）： 40-46.

1前言

随着新能源汽车的广泛应用，锂电池寿命预测越来越重要。（剩余9491字）