Work

Optimized XGBoost framework for RUL prediction of lithium-ion batteries using multi health indicators

Year: 2025

Type: article

Source: Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy

DOI: 10.1177/09576509251392983

Authors: Shivi Varshney, Bhavnesh Kumar, Alok Prakash Mittal

Institution: Netaji Subhas University of Technology

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4415685895

FWCI: 0.507

Cites: 27

Cited by: 2

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