Comparison of Lithium-Ion Battery SoC Estimation Accuracy of LSTM Neural Network Trained with Experimental and Synthetic Datasets-Reference-Cited by-同舟云学术

Comparison of Lithium-Ion Battery SoC Estimation Accuracy of LSTM Neural Network Trained with Experimental and Synthetic Datasets

Published:2024 Issue: Volume: Page:405-410
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:en
Short-container-title:

Author:

Hattouti Luca Amyn,Di Rienzo Roberto,Nicodemo Niccolò,Verani Alessandro,Baronti Federico,Roncella Roberto,Saletti Roberto

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-48121-5_58

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5. Zhang S, Zhang C, Jiang S, Zhang X (2022) A comparative study of different adaptive extended/unscented kalman filters for lithium-ion battery state-of-charge estimation. Energy 246(123):423. https://doi.org/10.1016/j.energy.2022.123423