Work

State of Charge Estimation for Electric Vehicle Battery Using Support Vector Machines Technique

Year: 2024

Type: conference-paper

Source: International Middle East Power Systems Conference (MEPCON)

DOI: 10.1109/mepcon63025.2024.10850441

Authors: Ali A. Osman, Mostafa S. Hamad, Ayman Samy Abdel-Khalik, Yasser G. Dessouky

Institution: Alexandria University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4406894510

FWCI: 1.678

Cites: 23

Cited by: 3

Related to: 10