Adaptive State-of-Charge Estimation for Lithium-Ion Batteries by Considering Capacity Degradation

Adaptive State-of-Charge Estimation for Lithium-Ion Batteries by Considering Capacity Degradation

The accurate estimation of a lithium-ion battery’s state of charge (SOC) plays an important role in the operational safety and driving mileage improvement of electrical vehicles (EVs). The Adaptive Extended Kalman filter (AEKF) estimator is commonly used to estimate SOC; however, this method relies...

Full description

Bibliographic Details
Main Authors: Peipei Xu, Junqiu Li, Chao Sun, Guodong Yang, Fengchun Sun
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Electronics
Subjects:
state of charge (SOC)
equivalent circuit model (ECM)
capacity degradation model
forgetting factor recursive least squares (FFRLS)
Online Access:https://www.mdpi.com/2079-9292/10/2/122

Similar Items

Similar Items