Why Physics-Informed AI is the Future of BMS

physics informed AI as a model for BMS

Author: Krishna S Hanamaraddi Developing a generalized AI model for State of Health (SOH) prediction is a “boss level” challenge in battery management. While standard Neural Networks (LSTMs/GRUs) are excellent at capturing temporal patterns for a specific batch, they often fail to generalize across diverse chemistries (LFP, NMC, NCA), variable C-rates, and fluctuating temperatures. They … Read more

Batteries Are the Backbone of the AI-Powered Future

1. The AI Brain Needs a Body — And That Body Needs Power We’ve spent decades building the “brains” of artificial intelligence—language models, perception systems, planning algorithms—but real-world deployment demands much more than code. Whether it’s a humanoid robot like Tesla Optimus, Figure, an autonomous delivery bot like Starship, or an AI-powered drone swarm, all … Read more

What an AI – Powered BMS Actually Delivers

AI BMS cartoon image

Engineering Advances and Technical Insights By Dr Ugur Yavas, Head of AI @Eatron Technologies “AI-powered BMS” is a term we hear more and more frequently. In the broader AI world, we see the landscape evolving through distinct phases – most recently captured by Andrej Karpathy as Software 1.0 (hand-coded logic), Software 2.0 (deep learning), and … Read more