Recharging Probably Keeps Batteries Alive
Holger Hermanns, Jan Kr\v{c}\'al, Gilles Nies

TL;DR
This paper enhances the kinetic battery model by incorporating randomness and capacity bounds, enabling better prediction of battery depletion risks in real-world scenarios like nano satellite missions.
Contribution
It introduces a modified kinetic battery model that accounts for stochastic charging/discharging and capacity limits, improving real-world battery behavior prediction.
Findings
Model effectively predicts battery depletion risk over time.
Application to nano satellite mission demonstrates practical utility.
Provides a framework for dynamic battery risk assessment.
Abstract
The kinetic battery model is a popular model of the dynamic behavior of a conventional battery, useful to predict or optimize the time until battery depletion. The model however lacks certain obvious aspects of batteries in-the-wild, especially with respect to (i) the effects of random influences and (ii) the behavior when charging up to capacity bounds. This paper considers the kinetic battery model with bounded capacity in the context of piecewise constant yet random charging and discharging. The resulting model enables the time-dependent evaluation of the risk of battery depletion. This is exemplified in a power dependability study of a nano satellite mission.
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 · Radiation Effects in Electronics · Real-Time Systems Scheduling
