Belmajdoub, Nouhaila (Hassan II University of Casablanca, ENSET Mohammedia), Lajouad, Rachid (Hassan II university of Casablanca (Morocco), ENSET Mohammedia (), El Magri, Abdelmounime (IESI Laboratory, Department of Electrical Engineering, ENSET Moh), BOUDOUDOUH, Soukaina (Hassan II Mohammedia University OF CASABLANCA ENSET Mohammedia M)

State of Charge and State of Health Estimation of a Lithium-Ion Battery for Electric Vehicles: A Review

Scheduled for presentation during the Invited Session "Advanced Control Techniques for Energy Conversion Systems-2" (ThuS3T1), Thursday, July 11, 2024, 16:30−16:50, Salle des conférences

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 2, 2025

Abstract

This article, based on the state of charge (SoC) and state of health (SoH) of lithium-ion batteries, highlights the importance of these parameters for battery performance and durability. It explores advanced simulation methods, including intelligent algorithms. These methods are presented as essential tools for estimating and anticipating SoC and SoH, thus offering proactive management. It highlights the integration of these approaches into Li-ion battery management to support the ongoing development of electrical technologies and improve the sustainability of energy storage applications. This paper presents a description of the different SoC and SoH estimation methods. In addition to the use of the Kalman filter to establish a comparison between real and estimated SoC and the determination of SoH.