This review outlines new battery technologies, including safety and machine learning in energy storage systems.
This review provides an insightful exploration into the dynamic landscape of contemporary battery technologies, delving beyond conventional limits to uncover the latest advancements. The evolutionary trajectory of battery technology is scrutinized, offering a comprehensive overview of ongoing research endeavors. Focusing on critical components, the cathode, anode, and electrolyte are dissected to unveil innovative materials and designs propelling the field forward. Safety considerations, a paramount aspect of battery development, receive meticulous attention, highlighting novel strategies and technologies ensuring secure operations. Embracing the era of artificial intelligence, the integration of machine learning in battery research is discussed, showcasing its transformative impact on optimization, prognostics, and life prediction. This review encapsulates a panoramic view of the present battery landscape while providing a roadmap for the future. By synthesizing advancements across various fronts, it aims to guide researchers, engineers, and enthusiasts towards a deeper understanding of cutting‐edge battery technologies, ultimately empowering the trajectory of energy storage systems into an era of unprecedented possibilities.
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Kasniya et al. (2025) studied this question.
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