Weight-Constrained Reliability Allocation for All-Electric Aircraft Powertrains

被引:1
作者
Li, Jinghao [1 ,2 ]
Huang, Yiwen [1 ,2 ]
Li, Ran [1 ,2 ]
Hua, Hao [1 ,2 ]
Gao, Fei [1 ,2 ]
Pei, Xiaoze [3 ]
Huang, Wentao [1 ,2 ]
Tai, Nengling [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Key Lab Control Power Transmiss & Convers, Minist Educ, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Shanghai Noncarbon Energy Convers & Utilizat Inst, Shanghai 200240, Peoples R China
[3] Univ Bath, Dept Elect Engn, Bath BA2 7AY, England
来源
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION | 2024年 / 10卷 / 03期
关键词
Reliability; Aircraft; Resource management; Mechanical power transmission; Power system reliability; Aircraft propulsion; Reliability engineering; Actual operating conditions; electric aircraft; reliability allocation; two-stage optimization; weight constraints; REDUNDANCY; HYBRID;
D O I
10.1109/TTE.2023.3331839
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The shift toward 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 article, 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 powertrain 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.
引用
收藏
页码:6596 / 6607
页数:12
相关论文
共 26 条
  • [1] aerotec, First Flight of the Ecaravan-MagniX and AeroTEC's Allelectric Cessna 208B Technology Demonstrator
  • [2] [Anonymous], 1988, ELECT RELIABILITY DE
  • [3] [Anonymous], Gurobi Optimization - The Best Mathematical Programming Solver
  • [4] Tightening McCormick Relaxations Toward Global Solution of the ACOPF Problem
    Bynum, Michael
    Castillo, Anya
    Watson, Jean-Paul
    Laird, Carl D.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (01) : 814 - 817
  • [5] Reliability Improvement Allocation Method Considering Common Cause Failures
    Cao, Yingsai
    Liu, Sifeng
    Fang, Zhigeng
    Dong, Wenjie
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2020, 69 (02) : 571 - 580
  • [6] Reliability Allocation Procedures in Complex Redundant Systems
    Catelani, Marcantonio
    Ciani, Lorenzo
    Patrizi, Gabriele
    Venzi, Matteo
    [J]. IEEE SYSTEMS JOURNAL, 2018, 12 (02): : 1182 - 1192
  • [7] Chen Fei, 2016, INT C RELIABILITY MA
  • [8] Data-Driven Efficiency Modeling and Analysis of All-Electric Ship Powertrain: A Comparison of Power System Architectures
    Ghimire, Pramod
    Zadeh, Mehdi
    Thorstensen, Jarle
    Pedersen, Eilif
    [J]. IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (02): : 1930 - 1943
  • [9] 4-MW Class High-Power-Density Generator for Future Hybrid-Electric Aircraft
    Golovanov, Dmitry
    Gerada, David
    Sala, Giacomo
    Degano, Michele
    Trentin, Andrew
    Connor, Peter H.
    Xu, Zeyuan
    La Rocca, Antonino
    Galassini, Alessandro
    Tarisciotti, Luca
    Eastwick, Carol N.
    Pickering, Stephen J.
    Wheeler, Pat
    Clare, Jon
    Filipenko, Mykhaylo
    Gerada, Chris
    [J]. IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2021, 7 (04) : 2952 - 2964
  • [10] Optimal Reliability Allocation of ±800 kV Ultra HVDC Transmission Systems
    Hu, Bo
    Xie, Kaigui
    Tai, Heng-Ming
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2018, 33 (03) : 1174 - 1184