A simplified electrochemical lithium-ion batteries model based on physics-informed LSTM

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A simplified electrochemical lithium-ion batteries model based on physics-informed LSTM_Res network

Published:2025-08 Issue: Volume:246 Page:127024
ISSN:0017-9310
Container-title:International Journal of Heat and Mass Transfer
language:en
Short-container-title:International Journal of Heat and Mass Transfer

Author:

Kong Chun^ORCID,Zhu Guorong,Wang Jing V.^ORCID,Kang Jianqiang,Wang Qian

Publisher

Elsevier BV

Reference33 articles.

1. Recycling lithium-ion batteries from electric vehicles;Harper;Nature,2019

2. State of charge estimation of an electric vehicle’s battery using deep neural networks: Simulation and experimental results;El Fallah;J. Energy Storage,2023

3. Review of thermal coupled battery models and parameter identification for lithium-ion battery heat generation in EV battery thermal management system;Liu;Int. J. Heat Mass Transfer,2024

4. Recycling of lithium-ion batteries: Recent advances and perspectives;Huang;J. Power Sources,2018

5. A fractional-order model of lithium-ion battery considering polarization in electrolyte and thermal effect;Zhu;Electrochim. Acta,2023

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