From Electrochemical Energy Storage to Next-Generation Intelligent Battery Technologies for Electric Vehicles: A Survey

TL;DR

This survey reviews recent advances in electrochemical energy storage and discusses how AI and digital technologies are transforming battery management for electric vehicles, highlighting challenges and future opportunities.

Contribution

It provides a comprehensive overview of recent innovations in battery chemistries, materials, and AI integration for next-generation electric vehicle batteries.

Findings

Advances in Na+ -ion, metal-ion, and metal-air batteries.

Integration of machine learning and digital twins in battery management.

Identification of key challenges and future research directions.

Abstract

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.