Advances in Lithium-Ion Battery SOC Prediction: A Data-Driven GRU-RNN Framework-Reference-Cited by-同舟云学术

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Advances in Lithium-Ion Battery SOC Prediction: A Data-Driven GRU-RNN Framework

Published:2023-12-18 Issue: Volume:8 Page:253-258
ISSN:
Container-title:2023 11th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)
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Author:

Hassan Al Amir¹,Yahia Abdallah¹,Tamer Moayadeldin¹,Shahin Mohamed¹,Zewail Rami¹,Abdel-Rahim Omar¹

Affiliation:

1. Egypt-Japan University of Science and Technology (E-JUST),Dept. of Electrical Power Engineering,Alexandria,Egypt,21934

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10479556/10479601/10479643.pdf?arnumber=10479643

Reference43 articles.

1. Pseudo single stage flyback current source inverter for grid connected PV applications

2. Control of seven-to-three phase Direct Matrix Converter using Model Predictive control for multiphase wind generation

3. A coulombic efficiency-based model for prognostics and health estimation of lithium-ion batteries

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