Use of ML Techniques for Li-Ion Battery Remaining Useful Life Prediction-A Survey
Author:
Affiliation:
1. Amrita School of Engineering,Department of Electrical and Electronics Engineering,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10179605/10179606/10179668.pdf?arnumber=10179668
Reference25 articles.
1. Support vector regression machines;christopher;Adv Neural Inf Process Syst,1997
2. Review of remaining useful life prediction using support vector machine for engineering assets
3. Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Health Indicator and Gaussian Process Regression Model
4. A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation
5. Overview of Machine Learning Methods for Lithium-Ion Battery Remaining Useful Lifetime Prediction
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