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Fast Fault Diagnosis of a Lithium-Ion Battery for Hybrid Electric Aircraft

Authors :
Haniph Aliniagerdroudbari
Waleed Zakri
Roja Esmaeeli
Ajay Mahajan
Muapper Alhadri
Abdul Haq Mohammed
Seyed Reza Hashemi
Siamak Farhad
Ashkan Nazari
Source :
Volume 1: Fuels, Combustion, and Material Handling; Combustion Turbines Combined Cycles; Boilers and Heat Recovery Steam Generators; Virtual Plant and Cyber-Physical Systems; Plant Development and Construction; Renewable Energy Systems.
Publication Year :
2018
Publisher :
American Society of Mechanical Engineers, 2018.

Abstract

A well-designed battery management system along with a set of voltage and current sensors is required to properly measure and control the battery cell operational variables for Hybrid Electric Aircrafts (HEAs). Some critical functions of the battery including State-Of-Charge (SOC) and State-Of-Health (SOH) estimations, over-current, and over-/under-voltage protections are mainly related to current and voltage sensor measurements. Therefore, in case of battery faults occur in HEA, designing a reliable and robust diagnostic procedure is essential. In this study, for Li-ion batteries, a new and fast fault diagnosis technique via collecting data is proposed. Finally, the effectiveness of the proposed diagnostic method is validated, and the results show how overcharge, over-discharge and sensor faults can be accurately detected.

Details

Database :
OpenAIRE
Journal :
Volume 1: Fuels, Combustion, and Material Handling; Combustion Turbines Combined Cycles; Boilers and Heat Recovery Steam Generators; Virtual Plant and Cyber-Physical Systems; Plant Development and Construction; Renewable Energy Systems
Accession number :
edsair.doi...........71cb40d8ca34d78e169af3e8a04aad4a
Full Text :
https://doi.org/10.1115/power2018-7476