Work

Physics-Informed Machine Learning for State of Charge Estimation of Lithium-Ion Batteries

Year: 2024

Type: conference-paper

Source: International Conference on Robotics and Automation in Industry (ICRAI)

DOI: 10.1109/icrai62391.2024.10894277

Authors: Hafiz Muhammad Jawaad, Muhammad Saeed, Anjum Naeem Malik, Arash Khalatbarisoltani, Hassan Elahi, Umar Shahbaz Khan

Institutions: National University of Sciences and Technology, 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

Funder: National Key Research and Development Program of China

Award: G8222775081

OpenAlex ID: W4407950855

FWCI: 5.594

Cites: 26

Cited by: 10

Related to: 10