Weight-Constrained Reliability Allocation for All Electric Aircraft Powertrains

Jinghao Li, Yiwen Huang, Ran Li, Hao Hua, Fei Gao, Xiaoze Pei, Wentao Huang, Nengling Tai

Research output: Contribution to journalArticlepeer-review

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Abstract

The shift towards electric aircraft poses significant challenges in balancing lightweight design and high reliability of powertrains. Typically, improving reliability requires redundancy, which adds weight, while lightweight designs often compromise reliability. In this paper, we propose a weight-constrained reliability allocation model for the powertrain design of electric aircraft. The relationship between reliability and weight for each component, including battery, inverter, and electric motor is analytically and linearly expressed using universal generating functions (UGF) and McCormick envelope technique. Our model considers variable operating conditions that impact component reliability, such as changes in core temperature caused by high-attitude and variable thrust power caused by wind speed and direction. Our approach enhances the overall performance of electric powertrains systems for aircraft. Using the " Spirit of Innovation " electric aircraft as a case study, the proposed method can improve the powertrain reliability from 0.9786 to 0.9870 through reasonable allocation without adding extra weight. Alternatively, it can reduce the weight by 3.1% without compromising the reliability of the powertrain.

Original languageEnglish
Number of pages13
JournalIEEE Transactions on Transportation Electrification
Early online date9 Nov 2023
DOIs
Publication statusE-pub ahead of print - 9 Nov 2023

Keywords

  • actual operating conditions
  • Aircraft
  • Aircraft propulsion
  • Electric aircraft
  • Mechanical power transmission
  • Power system reliability
  • Reliability
  • reliability allocation
  • Reliability engineering
  • Resource management
  • two-stage optimization
  • weight constraints

ASJC Scopus subject areas

  • Automotive Engineering
  • Transportation
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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