A Method for Predicting the Remaining Useful Life of Lithium-Ion Batteries Based on Particle Filter Using Kendall Rank Correlation Coefficient
Work
Year: 2020
Type: article
Abstract: With the wide application of lithium batteries, battery fault prediction and health management have become more and more important. This article proposes a method for predicting the remaining useful l... more
Source: Energies
Authors Diju Gao, Zhou Yong, Tianzhen Wang, Yide Wang
Institutions Shanghai Maritime University, Ministry of Transport, Nantes Université, Centre National de la Recherche Scientifique
Cites: 15
Cited by: 33
Related to: 10
FWCI: 2.124
Citation percentile (by year/subfield): 82.77
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
APC paid (est): $2,382
Grant ID 61673260