This white paper presents a proof of concept of an innovative AI-Battery Management System that enables advanced state estimation for State of Charge (SoC) and State of Health (SoH), remaining useful life (RUL) prediction, and Lithium Plating (LiP) detection allowing for real-time proactive management. It shows how to capitalize on the efficiency of the TC4x’s integrated PPU to manage the complex architectures of 400-V and 800-V EV packs. Finally, it discusses system level implications of using embedded AI to propel the EV industry towards a future where performance, safety, and longevity are essential. For more detailed information, download our exclusive whitepaper!
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