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Development and Implementation of a Hardware In-the-Loop Test Bed for Unmanned Aerial Vehicle Control AlgorithmsSuccessful prediction and management of battery life using prognostic algorithms through ground and flight tests is important for performance evaluation of electrical systems. This paper details the design of test beds suitable for replicating loading profiles that would be encountered in deployed electrical systems. The test bed data will be used to develop and validate prognostic algorithms for predicting battery discharge time and battery failure time. Online battery prognostic algorithms will enable health management strategies. The platform used for algorithm demonstration is the EDGE 540T electric unmanned aerial vehicle (UAV). The fully designed test beds developed and detailed in this paper can be used to conduct battery life tests by controlling current and recording voltage and temperature to develop a model that makes a prediction of end-of-charge and end-of-life of the system based on rapid state of health (SOH) assessment.
Document ID
20140010625
Acquisition Source
Ames Research Center
Document Type
Other
Authors
Nyangweso, Emmanuel
(Michigan Univ. Ann Arbor, MI, United States)
Bole, Brian
(Georgia Tech Research Corp. Atlanta, GA, United States)
Date Acquired
August 13, 2014
Publication Date
January 1, 2014
Subject Category
Instrumentation And Photography
Electronics And Electrical Engineering
Report/Patent Number
ARC-E-DAA-TN10630
Report Number: ARC-E-DAA-TN10630
Funding Number(s)
CONTRACT_GRANT: NNX11AO50H
CONTRACT_GRANT: NNX08AF59A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Battery Testbed
Battery Cycling
Lithium Batteries
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