Predicting the Remaining Life of Lithium-ion Batteries Using a CNN-LSTM Model-Reference-Cited by-同舟云学术

Predicting the Remaining Life of Lithium-ion Batteries Using a CNN-LSTM Model

Published:2022-02-10 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Conference on Mechatronics and Robotics Engineering (ICMRE)
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Author:

Rastegarpanah Alireza¹,Wang Yuan²,Stolkin Rustam¹

Affiliation:

1. University of Birmingham,School of Metallurgy and Materials,Birmingham,UK

2. The Faraday Institution,Harwell Science and Innovation Campus,Didcot,UK

Funder

Faraday Institution

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9734073/9734074/09734081.pdf?arnumber=9734081

Reference21 articles.

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4. An adaptive recurrent neural network for remaining useful life prediction of lithium-ion batteries;liu;National Aeronautics And Space Administration Moffett Field CA Ames Research … Tech Rep,2010

5. Long Short-Term Memory

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