An Online Data-Driven Model Identification and Adaptive State of Charge Estimation Approach for Lithium-ion-Batteries Using the Lagrange Multiplier Method

An Online Data-Driven Model Identification and Adaptive State of Charge Estimation Approach for Lithium-ion-Batteries Using the Lagrange Multiplier Method

Reliable and accurate state of charge (SOC) monitoring is the most crucial part in the design of an electric vehicle (EV) battery management system (BMS). The lithium ion battery (LIB) is a highly complex electrochemical system, which performance changes with age. Therefore, measuring the SOC of a b...

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Bibliographic Details
Main Authors: Muhammad Umair Ali, Muhammad Ahmad Kamran, Pandiyan Sathish Kumar, Himanshu, Sarvar Hussain Nengroo, Muhammad Adil Khan, Altaf Hussain, Hee-Je Kim
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Energies
Subjects:
battery model
battery parameters identification
state of charge (SOC)
open circuit voltage (OCV)
Online Access:https://www.mdpi.com/1996-1073/11/11/2940

Internet

https://www.mdpi.com/1996-1073/11/11/2940

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