Work

Digital Twin Empowered Dynamic State of Health Prediction with Extended Kalman Filter for Lithium-ion Batteries

Year: 2025

Type: conference-paper

DOI: 10.1109/icaisisas64483.2025.11052187

Authors: Kexin Zhang, Yan Qin

Institution: Chongqing 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: W4411996237

FWCI: 1.755

Cites: 12

Cited by: 1

Related to: 10