Work

Robust Remaining Useful Lifetime Prediction for Lithium-Ion Batteries With Dual Gaussian Process Regression-Based Ensemble Strategies on Limited Sample Data

Year: 2024

Type: article

Source: IEEE Transactions on Transportation Electrification

DOI: 10.1109/tte.2024.3504743

Authors: Xingjun Li, Dan Yu, Søren Byg Vilsen, Venkat R. Subramanian, Daniel-Ioan Stroe

Institutions: Aalborg University, The University of Texas at Austin

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

Funders: Otto Mønsteds Fond, China Scholarship Council, William Demant Fonden

Awards: G2335177488, G4506013940, G578057104, G6275716152

OpenAlex ID: W4404627924

FWCI: 1.935

Cites: 34

Cited by: 18

Related to: 10