Work

Deep Learning-Driven SOH Assessment of Batteries from EIS Data Using Markov Transition Fields

Year: 2025

Type: conference-paper

DOI: 10.1109/powertech59965.2025.11180574

Authors: Henrik Andersen, Kun Qian, Thomas Ebel, Kasper Paasch

Institution: University of Southern Denmark

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: Interreg

OpenAlex ID: W4414940803

FWCI:

Cites:

Cited by:

Related to: