This paper reviews the application of multiscale modeling techniques in enhancing the health analysis and lifespan prediction of lithium-ion batteries (LIBs). Multiscale modeling integrates computational chemistry, reaction simulations, structural models, electrochemical models, and data-driven models to provide a comprehensive understanding of battery degradation processes. The review highlights the importance of artificial intelligence in material discovery and manufacturing process optimization, end-cloud collaborative battery management systems, and a multiscale simulation integration platform. A management framework is proposed to extend battery life, offering a roadmap for addressing health analysis challenges in LIBs. The paper also discusses the development of bottom-up multiscale models, including atomic scale models for material properties, particle scale models for mechanical degradation, electrode scale models for structural stability, and system scale models for electrochemical behavior. These models collectively provide insights into battery degradation mechanisms and contribute to more reliable, efficient, and durable battery solutions.This paper reviews the application of multiscale modeling techniques in enhancing the health analysis and lifespan prediction of lithium-ion batteries (LIBs). Multiscale modeling integrates computational chemistry, reaction simulations, structural models, electrochemical models, and data-driven models to provide a comprehensive understanding of battery degradation processes. The review highlights the importance of artificial intelligence in material discovery and manufacturing process optimization, end-cloud collaborative battery management systems, and a multiscale simulation integration platform. A management framework is proposed to extend battery life, offering a roadmap for addressing health analysis challenges in LIBs. The paper also discusses the development of bottom-up multiscale models, including atomic scale models for material properties, particle scale models for mechanical degradation, electrode scale models for structural stability, and system scale models for electrochemical behavior. These models collectively provide insights into battery degradation mechanisms and contribute to more reliable, efficient, and durable battery solutions.