Battery Degradation Heuristics for Predictive Energy Management in Shipboard Power Systems
Satish Vedula, Ayobami Olajube, Koto Omiloli, Olugbenga Moses Anubi

TL;DR
This paper introduces a model predictive energy management strategy for shipboard power systems that balances generator efficiency and battery degradation, using heuristics to improve real-time performance and battery health.
Contribution
It proposes novel heuristics for battery degradation management integrated into a predictive energy control strategy for shipboard power systems.
Findings
Heuristics effectively reduce battery degradation.
Model predictive control improves power management.
Simulation shows enhanced battery health and system stability.
Abstract
The presence of Pulse Power Loads (PPLs) in the Notional Shipboard Power System (SPS) presents a challenge in the form of meeting their high ramp rate requirements. Considering the ramp rate limitations on the generators, this might hinder the power flow in the grid. Failure to meet the ramp rate requirements might cause instability. Aggregating generators with energy storage elements usually addresses the ramp requirements while ensuring the power demand is achieved. This paper proposes an energy management strategy that adaptively splits the power demand between the generators and the batteries while simultaneously considering the battery degradation and the generator's efficient operation. Since it is challenging to incorporate the battery degradation model directly into the optimization problem due to its complex structure and the degradation time scale which is not practical for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Battery Technologies Research · Maritime Transport Emissions and Efficiency · Electric Vehicles and Infrastructure
