Work

Federated Learning Based State of Health Estimation for Lithium-Ion Batteries

Year: 2025

Type: conference-paper

Source: Annual System of Systems Engineering Conference (SoSE)

DOI: 10.1109/sose66311.2025.11083856

Authors: Enes Sevim, Metin Yılmaz, Eyüp Çinar, Ahmet Yazıcı

Institution: Eskişehir Osmangazi 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: W4413158038

FWCI: 7.021

Cites:

Cited by: 4

Related to: 10