Prognostics-Informed Battery Reconfiguration in a Multi-Battery Small\n UAS Energy System

2021/03/02 by Prashin Sharma, Sharma, Prashin, Ella Atkins +1
Engineering · #Advanced Battery Technologies Research #Electric Vehicles and Infrastructure #FOS: Computer and information sciences #Reliability and Maintenance Optimization #Robotics (cs.RO)

paper · pdf · doi:10.48550/arxiv.2103.01883

openalex publication_date 2021/03/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Batteries have been identified as one most likely small UAS (sUAS) components\nto fail in flight. sUAS safety will therefore be improved with redundant or\nbackup batteries. This paper presents a prognostics-informed Markov Decision\nProcess (MDP) model for managing multi-battery reconfiguration for sUAS\nmissions. Typical lithium polymer (Lipo) battery properties are experimentally\ncharacterized and used in Monte Carlo simulations to establish battery dynamics\nin sUAS flights of varying duration. Case studies illustrate the trade off\nbetween multi-battery system increased complexity/weight and resilience to\nnon-ideal battery performance.\n

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