Conventional BMS diagnostics rely on external measurements like voltage, current, and temperature to mestimate battery states, which leads to suboptimal battery usage, delayed detection of safety issues, and inconsistent 2nd life assessment. In contrast, Electrochemical Impedance Spectroscopy (EIS) based algorithms offer a transformative solution by directly measuring internal battery states in real-time, enabling earlier fault detection, enhanced safety, and improved battery lifespan management. FPT and CSEM are teaming up in the SmartBEE project to integrate EIS into the BMS of electric Light Commercial Vehicle (eLCV) to enable real-time, precise monitoring of lithium-ion battery health and operating conditions.