Work

Prognostics and Health Management for Batteries: Comparative Analysis of Machine Learning Techniques for Accurate SoH Estimation

Year: 2024

Type: conference-paper

Source: Innovations in Intelligent Systems and Applications Conference (ASYU)

DOI: 10.1109/asyu62119.2024.10757079

Authors: Tolga Ay, Yunus Emre Isikdemir, Hakan Bicer, Zeynep Tugba Cem, Ali Kafali, Muhammed Oguz Tas

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: W4406267558

FWCI: 0.559

Cites:

Cited by: 1

Related to: 10