A State of Charge Estimation Approach for Lithium-Ion Batteries Based on the Optimized Metabolic EGM(1,1) Algorithm

A State of Charge Estimation Approach for Lithium-Ion Batteries Based on the Optimized Metabolic EGM(1,1) Algorithm

The accurate estimation of the state of charge (SOC) for lithium-ion batteries’ performance prediction and durability evaluation is of paramount importance, which is significant to ensure reliability and stability for electric vehicles. The SOC estimation approaches based on big data collection and...

Full description

Bibliographic Details
Main Authors: Qiang Sun, Shasha Wang, Shuang Gao, Haiying Lv, Jianghao Liu, Li Wang, Jifei Du, Kexin Wei
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Batteries
Subjects:
lithium-ion battery
metabolic even grey model
parameter identification
state of charge estimation
Online Access:https://www.mdpi.com/2313-0105/8/12/260

Internet

https://www.mdpi.com/2313-0105/8/12/260

Similar Items