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Prognostics and Health Management for Electrified Aircraft Propulsion: State of the Art and Challenges

预言 推进 航空学 国家(计算机科学) 健康状况 航空航天工程 健康管理体系 工程类 计算机科学 医学 物理 可靠性工程 替代医学 病理 电池(电) 功率(物理) 量子力学 算法
作者
Liang Tang,Abhinav Saxena,Karim Younsi
出处
期刊:Journal of engineering for gas turbines and power [ASM International]
卷期号:147 (4) 被引量:5
标识
DOI:10.1115/1.4066598
摘要

Abstract In recent years, the aviation industry has witnessed a transformative wave of innovation in electrified aircraft propulsion (EAP), driven by sustainability and efficiency goals. Integration of novel electrical subsystems, including high-voltage power electronics, motors/generators, and energy storage devices, has introduced intricate complexities. In this context, an intensified focus on prognostics and health management (PHM) is imperative, considering the heightened reliability needs in a transportation propulsion application. This paper extensively analyzes the current state of the art in PHM applicable to various EAP systems and components crucial for the functioning of electric aircraft. Typical fault modes and fault management strategies are analyzed at various levels of systems hierarchy. An integral aspect of our investigation involves the identification of critical gaps within existing PHM frameworks, guiding the research agenda for enhanced reliability and performance. Moreover, the distributed nature and increasing complexity of electric propulsion systems underscore the importance of model-based systems engineering (MBSE). We advocate for the exploration of MBSE not only to inform the design and implementation of PHM solutions but also to facilitate certification and Verification and Validation activities. Additionally, the paper offers insights into existing tools and simulation software packages capable of integrating traditional gas turbine modules with electric subsystems, as well as simulating various faulty conditions in EAP relevant to PHM development. Key gaps in these tools are emphasized, drawing attention to areas that require further refinement and development. This comprehensive exploration aims to pave the way for future advancements in PHM tailored for the unique challenges posed by electric aircraft propulsion systems.
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