Work

Automated Machine Learning for Estimating the State of Health of Lithium Ion Batteries

Year: 2025

Type: conference-paper

DOI: 10.1109/itec63604.2025.11098103

Authors: Sebastian Pohlmann, Andreas Wiedenmann, Dominic Karnehm, Manuel Kuder, Antje Neve, Thomas Weyh

Institution: Universität der Bundeswehr München

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

Funder: European Commission

OpenAlex ID: W4412986609

FWCI:

Cites: 13

Cited by:

Related to: 10