Extend Battery Life and Safety with Intelligent, AI-Driven Diagnostics

Battery-powered systems are key to a sustainable future — yet current management technologies fail to fully reveal their internal state, leading to premature failures, safety risks, and economic losses. This white paper explains how AI-driven electrical impedance spectrometry (EIS) revolutionizes battery management by offering deep, real-time insights into a battery’s true condition. Users learn how predictive diagnostics reduce fire risk, prevent early replacement, and maximize performance across electric mobility, grid storage, and second-life applications. The approach enables smarter maintenance, extends battery lifespan, and supports the circular economy by identifying reusable and recyclable cells. By turning complex battery data into actionable intelligence, AI-powered EIS provides a breakthrough in reliability, safety, and sustainability — helping industry players unlock the full value of every battery.