Work

Machine Learning-Based Battery State of Health Prediction Using Discharge Voltage

Year: 2025

Type: conference-paper

Source: International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA)

DOI: 10.1109/ichora65333.2025.11017233

Authors: Gökhan Manav, Muhammed Mutlu Yapici, Ali Saygin

Institutions: Ankara University, Gazi University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Good health and well-being

Open Access status: closed

OpenAlex ID: W4411204530

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