Improved lithium-ion battery health prediction with data-based approach-Reference-Cited by-同舟云学术

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Improved lithium-ion battery health prediction with data-based approach

Published:2024-03 Issue: Volume:7 Page:100457
ISSN:2772-6711
Container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy
language:en
Short-container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy

Author:

Merrouche Walid^ORCID,Harrou Fouzi^ORCID,Taghezouit Bilal,Sun Ying

Publisher

Elsevier BV

Reference102 articles.

1. Selective recovery of metals from spent mobile phone lithium-ion batteries through froth flotation followed by magnetic separation procedure;Mennik;Results. Eng.,2023

2. Energy Transitions Outlook 2022: 1.5°C Pathway,2022

3. Global Electric Vehicle Outlook 2022,2022

4. Short-term energy scenario of district energy system using optimised renewable energy mix with and without energy storage;Shirole;Results. Eng.,2023

5. Operation optimization strategy of a BIPV-battery storage hybrid system;Xinxin;Results. Eng.,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring the Synergy of Artificial Intelligence in Energy Storage Systems for Electric Vehicles;Electronics;2024-05-17

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