Adaptive Fitting Capacity Prediction Method for Lithium‑Ion Batteries  

作　　者：Xiao Chu Fangyu Xue Tao Liu Junya Shao Junfu Li 

机构地区：[1]School of Automotive Engineering,Harbin Institute of Technology,2 West Wenhua Road,Huancui District,Weihai 264209,China [2]Guangdong Guanghua Sci-Tech Co.,Ltd.,Shantou 515000,China [3]School of Chemical Engineering and Chemistry,Harbin Institute of Technology,Harbin 150001,China

出　　处：《Automotive Innovation》2022年第4期359-375,共17页汽车创新工程（英文）

基　　金：supported by China Postdoctoral Science Foundation(2021M690740);the Weihai Scientific Research and Innovation Funds(2019KYCXJJYB09).

摘　　要：Lithium-ion batteries have become the mainstream power source for electric vehicles because of their excellent performance.However,lithium-ion batteries still experience aging and capacity attenuation during usage.It is therefore critical to accu-rately predict battery remaining capacity for increasing battery safety and prolonging battery life.This paper first adopts the metabolism grey algorithm and a simplified electrochemical model to predict battery capacity under different operating conditions.To improve the prediction performance where the capacity changes nonlinearly,a decoupling analysis of battery capacity loss is then conducted based on the simplified electrochemical model.Finally,an adaptive fitting method is devel-oped for capacity prediction,aiming at improving the prediction accuracy at the inflection point of battery capacity diving.The 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.

关 键 词：Lithium-ion battery Capacity prediction Capacity diving Adaptive fitting capacity prediction 

分 类 号：TM912[电气工程—电力电子与电力传动]