From Electrochemical Energy Storage to Next-Generation Intelligent Battery Technologies for Electric Vehicles: A Survey
Fuente:
arXiv
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| Autores principales: | , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866909976898830336 |
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| author | Bahi, Abderaouf Ourici, Amel Lagraa, Chaima Lameche, Siham Halimi, Soundess Mouiche, Inoussa Sabri, Ylias Haider, Waseem Trari, Mohamed |
| author_facet | Bahi, Abderaouf Ourici, Amel Lagraa, Chaima Lameche, Siham Halimi, Soundess Mouiche, Inoussa Sabri, Ylias Haider, Waseem Trari, Mohamed |
| contents | This study provides a comprehensive overview of recent advances in electrochemical energy storage, including Na+ -ion, metal-ion, and metal-air batteries, alongside innovations in electrode engineering, electrolytes, and solid-electrolyte interphase control. It also explores the integration of machine learning, digital twins, large language models and predictive analytics to enable intelligent battery management systems, enhancing performance, safety, and operational longevity. Key challenges, research gaps, and future prospects are addressed, highlighting opportunities presented by hybrid chemistry, scalable manufacturing, sustainability, and AI-driven optimization. This survey aims to provide researchers, engineers, and industry profesionnals with a comprehensive understanding of next-generation battery technologies for the evolving electric vehicles sector. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_22680 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From Electrochemical Energy Storage to Next-Generation Intelligent Battery Technologies for Electric Vehicles: A Survey Bahi, Abderaouf Ourici, Amel Lagraa, Chaima Lameche, Siham Halimi, Soundess Mouiche, Inoussa Sabri, Ylias Haider, Waseem Trari, Mohamed Systems and Control This study provides a comprehensive overview of recent advances in electrochemical energy storage, including Na+ -ion, metal-ion, and metal-air batteries, alongside innovations in electrode engineering, electrolytes, and solid-electrolyte interphase control. It also explores the integration of machine learning, digital twins, large language models and predictive analytics to enable intelligent battery management systems, enhancing performance, safety, and operational longevity. Key challenges, research gaps, and future prospects are addressed, highlighting opportunities presented by hybrid chemistry, scalable manufacturing, sustainability, and AI-driven optimization. This survey aims to provide researchers, engineers, and industry profesionnals with a comprehensive understanding of next-generation battery technologies for the evolving electric vehicles sector. |
| title | From Electrochemical Energy Storage to Next-Generation Intelligent Battery Technologies for Electric Vehicles: A Survey |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2512.22680 |