AI-driven next-generation lithium-ion battery design automation (BDA) software

This review presents battery design automation (BDA) as a transformative artificial intelligence (AI)-driven paradigm for the next-generation lithium-ion battery research and development. Addressing the intricacy of the problems and challenges in developing lithium-ion batteries with better performance, which are cross-scale, long-process, and multi-factor, BDA integrates multi-scale simulations and artificial intelligence into a unified platform. It ranges from atomic-scale material screening to system-level performance prediction. By bridging the gap between scientific innovation and industrial applications, BDA facilitates the development of lithium-ion battery, enhancing its efficiency, safety, and energy density. The paper outlines BDA’s architecture, core technologies, current progress, and future challenges, highlighting its potential to revolutionize the battery design process and strengthen the pivotal role of lithium-ion battery in energy storage technology.