Had an amazing time presenting at #ACC2026! 🎷 We designed the PIRC framework to bring energy-efficient battery State of Health (SOH) monitoring directly to edge hardware without losing physical consistency.
#acc2026 #machinelearning #controlsystems #reservoircomputing | Kumar Anurag
I presented our poster, "Lightweight Physics-Informed Reservoir Computing for Battery Health Prediction," at the 2026 American Control Conference (ACC) in New Orleans! Predicting the State of Health (SOH) of lithium-ion batteries is safety-critical to prevent thermal runaway and extend lifespans in electric vehicles. Current models often force a compromise between computational speed and physical accuracy. To bridge this gap, we introduced the PIRC framework. By combining explicit polynomial NVAR features with recurrent reservoir states, and utilizing a closed-form ridge regression solver to avoid costly backpropagation, PIRC enables energy-efficient, accurate SOH monitoring directly on edge hardware. A massive thank you to Prof. Yanwen Xu, and Prof. Wenbin Wan for their guidance. It was also amazing to see some incredible robotics displays on the conference floor. Poster PDF Link: https://lnkd.in/gZsQejzu #ACC2026 #MachineLearning #ControlSystems #ReservoirComputing
