A Systematic Literature Review of State of Health and State of Charge Estimation Methods for Batteries Used in Electric Vehicle Applications

In recent years, artificial intelligence and machine learning have captured the attention of researchers and industrialists in order to estimate and predict the state of batteries. The quality of data must be good, and the source of data must be the same for different models’ performance comparisons...

Full description

Bibliographic Details
Main Authors: Radhika Swarnkar, Harikrishnan Ramachandran, Sawal Hamid Md Ali, Rani Jabbar
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:World Electric Vehicle Journal
Subjects:
Online Access:https://www.mdpi.com/2032-6653/14/9/247