Ageing estimation of lithium ion (Li-Ion) batteries is a key point for their massive application in the market. In this work, different Machine Learning (ML) techniques were applied and compared to evaluate the State of Health (SoH) of a cobalt based Li-Ion battery, cycled under a stationary application profile. Experimental results show that ML can be profitably used for SoH estimation.
A machine learning approach for evaluation of battery state of health
Aloisio D;Leonardi SG;Sergi F;Brunaccini G;Ferraro M;Antonucci V;
2020
Abstract
Ageing estimation of lithium ion (Li-Ion) batteries is a key point for their massive application in the market. In this work, different Machine Learning (ML) techniques were applied and compared to evaluate the State of Health (SoH) of a cobalt based Li-Ion battery, cycled under a stationary application profile. Experimental results show that ML can be profitably used for SoH estimation.File in questo prodotto:
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