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Rapid remaining-useful-life prediction of Li-ion batteries using image-based machine learning

Couture, JonathanUniversity of Ontario Institute of Technology2022

… methodology, is proposed to increase the prediction accuracy of the conventional health indicator methodology by 6.72% by using images of data curves as inputs. Subsequently, a more in-depth machine learning model is presented which managed to considerably outperform the current literature …

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