![Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems - ScienceDirect Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2666546820300161-gr3.jpg)
Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems - ScienceDirect
![WEVJ | Free Full-Text | State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Machine Learning Algorithms WEVJ | Free Full-Text | State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Machine Learning Algorithms](https://pub.mdpi-res.com/wevj/wevj-12-00038/article_deploy/html/images/wevj-12-00038-g001.png?1615176092)
WEVJ | Free Full-Text | State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Machine Learning Algorithms
![Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs42256-020-0156-7/MediaObjects/42256_2020_156_Fig1_HTML.png)
Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence
![Artificial intelligence for automated and autonomous discovery of better battery materials | CIC energiGUNE Artificial intelligence for automated and autonomous discovery of better battery materials | CIC energiGUNE](https://cicenergigune.com/media/uploads/mediacenter/ionself-cicenergigune-battery20301.jpg)