Battery prognostics and health management for electric vehicles under industry 4.0
Author:
Publisher
Elsevier BV
Subject
Electrochemistry,Energy (miscellaneous),Energy Engineering and Power Technology,Fuel Technology
Reference28 articles.
1. Machine-learning techniques used to accurately predict battery life
2. Closed-loop optimization of fast-charging protocols for batteries with machine learning
3. Machine learning pipeline for battery state-of-health estimation
4. Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
5. Deep neural network battery charging curve prediction using 30 points collected in 10 min
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