Work

A Novel Approach for Battery State-of-Health Estimation Using Convolutional Auto-Encoders

Year: 2025

Type: conference-paper

Source: European Control Conference (ECC)

DOI: 10.23919/ecc65951.2025.11186898

Authors: Sajad Shahsavari, Eero Immonen, Hashem Haghbayan, Juha Plosila

Institutions: Turku University of Applied Sciences, University of Turku

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

Funders: Academy of Finland, European Regional Development Fund

OpenAlex ID: W4415180809

FWCI:

Cites: 21

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