Original paper

State-of-health estimators coupled to a random forest approach for lithium-ion battery aging factor ranking

Volume: 484, Pages: 229154 - 229154
Published: Feb 1, 2021
Abstract
Electrified vehicles users may expect their vehicle to have a steady autonomy range and available power throughout the lifetime of their cars. The health assessment of Lithium-ion batteries (LIBs), in that regard, represents a critical point for performance evaluation and lifetime prediction. Reliable state-of-health (SoH) assessment is essential to ensure cautious and suitable use of LIBs. To that end, several embedded solutions are proposed in...
Paper Details
Title
State-of-health estimators coupled to a random forest approach for lithium-ion battery aging factor ranking
Published Date
Feb 1, 2021
Volume
484
Pages
229154 - 229154
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