AI-Driven Safety Modelling for Solid-State Batteries

This research explores how Artificial Intelligence (AI) can improve the safety and reliability of solid-state batteries (SSBs). While SSBs offer better safety than traditional lithium-ion batteries, challenges like thermal runaway still exist. AI techniques are used to predict potential failures and prevent thermal runaway by using machine learning models. Additionally, AI-based simulations help optimize the electrolyte composition to make the batteries more fire-resistant. By combining failure analysis with predictive AI Modelling , this approach aims to reduce risks and improve the overall safety of SSBs. The study shows how AI can help design safer and more reliable energy storage solutions, making SSBs a more effective choice for future applications.