Innovations integrating artificial intelligence and advanced materials have significantly improved lithium-ion battery performance and longevity prediction. Researchers have developed hybrid deep learning frameworks that enhance state-of-health (SoH) and state-of-charge (SoC) estimations, addressing complexities arising from battery usage variations and environmental factors. Materials advances include novel cathode architectures with graphene and carbon nanotubes boosting sodium-ion battery efficacy. These interdisciplinary efforts point toward more reliable and efficient energy storage critical for electric vehicles and renewable integration.