Intelligent BMS:

At Ultramax, we are redefining battery intelligence through a next-generation AI-powered Battery Management System (BMS) platform that combines advanced estimation, adaptive learning, and embedded deployment capability. Our system delivers a fully integrated intelligence stack across State of Charge (SoC), State of Health (SoH), and safety monitoring—moving beyond traditional methods to a self-improving, data-driven approach. By combining physics-based models with AI estimators and self-adaptive algorithms, we enable faster, more accurate, and more reliable battery insights across diverse chemistries and operating conditions. 

Our SoC technology demonstrates a step-change in performance, achieving convergence in as little as 30 seconds compared to approximately 5 minutes for Kalman filtering and up to 60 minutes using conventional Coulomb counting. This is paired with estimation accuracy reaching up to 98%, significantly outperforming traditional approaches. These gains are made possible through intelligent model design, including adaptive estimation techniques and lightweight embedded pathways that ensure real-time performance on constrained hardware. 

Beyond SoC, our SoH capability leverages a self-adaptive deep learning pipeline with denoising, hybrid multi-chemistry datasets, and test-time learning. This enables consistently high accuracy, with results demonstrating below 1% RMSE even in cross-chemistry deployment scenarios. Complementing this, our safety framework introduces early  abnormal-condition detection, enabling proactive intervention, improved derating strategies, and enhanced battery lifespan and reliability.