The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2023
Session ID : 1P1-A17
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Life Prediction of Lithium-ion Battery Using Deep Learing
*Yu FUJITAKIHiroyuki KOBAYASHI
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Abstract

The. Previous work has been done to predict the lifetime of complex nonlinear systems, such as lithium-ion batteries, from early cycles. Therefore, I conducted research using deep learning to obtain more accurate results. However, we report that LSTM, which specializes in predicting time-series data, did not produce results.

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© 2023 The Japan Society of Mechanical Engineers
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