Adaptive Management of Large Energy Storage Systems for Vehicle Electrification

Vehicle systems, being either ground/air/water vehicles, require hundreds/thousands of battery cells to meet their power and energy needs. In this project, we aim to develop comprehensive management solutions of such large-scale batteries with the joint consideration of peak power, operation time, and battery life for vehicle electrification. Specifically, we have investigated (i) the prediction of system power requirement according to its operation contexts, (ii) the monitoring and quantifying of batteries' real-time status, e.g., state-of-health, and (iii) the satisfying of such power requirement with the consideration of physical battery properties such as rate-capacity effect, relaxation-effect, thermal behavior, etc. We have evaluated the proposed solutions using both data-driven emulations and prototyping experiments. Our current explorations are on the remote diagnosis of batteries involving on-board system, edge units, and remote service center.