多电池小型UAS能源系统中的预测信息电池重构
Prognostics-Informed Battery Reconfiguration in a Multi-Battery Small UAS Energy System
摘要：
电池已被确定为最有可能在飞行中发生故障的小型UAS（sUAS）组件。因此，利用冗余或备用电池将提高sUAS的安全性。本文提出了一种基于概率的马尔可夫决策过程（MDP）模型，用于管理无人机系统任务的多电池重配置。典型的锂聚合物（Lipo）电池的特性进行了实验表征，并在蒙特卡洛模拟中使用，以建立电池动力学在sUAS飞行的不同持续时间。案例研究说明了多电池系统增加的复杂性/重量和对非理想电池性能的弹性之间的权衡。
英文摘要：
Batteries have been identified as one most likely small UAS (sUAS) components to fail in flight. sUAS safety will therefore be improved with redundant or backup batteries. This paper presents a prognostics-informed Markov Decision Process (MDP) model for managing multi-battery reconfiguration for sUAS missions. Typical lithium polymer (Lipo) battery properties are experimentally characterized and used in Monte Carlo simulations to establish battery dynamics in sUAS flights of varying duration. Case studies illustrate the trade off between multi-battery system increased complexity/weight and resilience to non-ideal battery performance.
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