State of Charge Estimation in Batteries for Electric Vehicle Based on Levenberg–Marquardt Algorithm and Kalman Filter

State of Charge Estimation in Batteries for Electric Vehicle Based on Levenberg–Marquardt Algorithm and Kalman Filter

A new optimization method for estimating the State of Charge (SOC) of battery charge state is proposed. This method incorporates the Levenberg–Marquardt Algorithm (LMA) for online parameter identification and the Extended Kalman Filter (EKF) for SOC. On the one hand, the LMA efficiently alleviates t...

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Bibliographic Details
Main Authors: Qian Huang, Junting Li, Qingshan Xu, Chao He, Chenxi Yang, Li Cai, Qipin Xu, Lihong Xiang, Xiaojiang Zou, Xiaochuan Li
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:World Electric Vehicle Journal
Subjects:
lithium batteries
State of Charge (SOC)
Levenberg–Marquardt Algorithm (LMA)
Extended Kalman Filter (EKF)
parameter identification
electric vehicles
Online Access:https://www.mdpi.com/2032-6653/15/9/391
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