Adaptive Fitting Capacity Prediction Method for Lithium‑Ion Batteries
作者机构：School of Automotive EngineeringHarbin Institute of Technology2 West Wenhua RoadHuancui DistrictWeihai 264209China Guangdong Guanghua Sci-Tech Co.Ltd.Shantou 515000China School of Chemical Engineering and ChemistryHarbin Institute of TechnologyHarbin 150001China
出 版 物：《Automotive Innovation》 (汽车创新工程（英文）)
年 卷 期：2022年第5卷第4期
页 面：359-375页
核心收录：
基 金：supported by China Postdoctoral Science Foundation(2021M690740) the Weihai Scientific Research and Innovation Funds(2019KYCXJJYB09)
主 题：Lithium-ion battery Capacity prediction Capacity diving Adaptive fitting capacity prediction
摘 要：Lithium-ion batteries have become the mainstream power source for electric vehicles because of their excellent ***,lithium-ion batteries still experience aging and capacity attenuation during *** is therefore critical to accu-rately predict battery remaining capacity for increasing battery safety and prolonging battery *** paper first adopts the metabolism grey algorithm and a simplified electrochemical model to predict battery capacity under different operating *** improve the prediction performance where the capacity changes nonlinearly,a decoupling analysis of battery capacity loss is then conducted based on the simplified electrochemical ***,an adaptive fitting method is devel-oped for capacity prediction,aiming at improving the prediction accuracy at the inflection point of battery capacity *** prediction results indicate that the developed adaptive fitting method can achieve high prediction accuracy under battery capacity attenuation at different discharge stages with errors lower than 2.2%.And the battery capacity decay shows linear variation,and the proposed method effectively forecast the inflection point of battery capacity diving.
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