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Sustainable Aviation Electrification: A Comprehensive Review of Electric Propulsion System Architectures, Energy Management, and Control

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  • Jinning Zhang

    (Centre for Propulsion, School of Aerospace, Transport and Manufacturing, Cranfield University, Bedfordshire MK43 0AL, UK
    Centre for Autonomous and Cyber-physical Systems, School of Aerospace, Transport and Manufacturing, Cranfield University, Bedfordshire MK43 0AL, UK)

  • Ioannis Roumeliotis

    (Centre for Propulsion, School of Aerospace, Transport and Manufacturing, Cranfield University, Bedfordshire MK43 0AL, UK)

  • Argyrios Zolotas

    (Centre for Autonomous and Cyber-physical Systems, School of Aerospace, Transport and Manufacturing, Cranfield University, Bedfordshire MK43 0AL, UK)

Abstract

The civil aviation sector plays an increasingly significant role in transportation sustainability in the environmental, economic, and social dimensions. Driven by the concerns of sustainability in the aviation sector, more electrified aircraft propulsion technologies have emerged and form a very promising approach to future sustainable and decarbonized aviation. This review paper aims to provide a comprehensive and broad-scope survey of the recent progress and development trends in sustainable aviation electrification. Firstly, the architectures of electrified aircraft propulsion are presented with a detailed analysis of the benefits, challenges, and studies/applications to date. Then, the challenges and technical barriers of electrified aircraft propulsion control system design are discussed, followed by a summary of the control methods frequently used in aircraft propulsion systems. Next, the mainstream energy management strategies are investigated and further utilized to minimize the block fuel burn, emissions, and economic cost. Finally, an overview of the development trends of aviation electrification is provided.

Suggested Citation

  • Jinning Zhang & Ioannis Roumeliotis & Argyrios Zolotas, 2022. "Sustainable Aviation Electrification: A Comprehensive Review of Electric Propulsion System Architectures, Energy Management, and Control," Sustainability, MDPI, vol. 14(10), pages 1-30, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:5880-:d:814213
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    References listed on IDEAS

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    1. Zhang, Jinning & Roumeliotis, Ioannis & Zolotas, Argyrios, 2022. "Model-based fully coupled propulsion-aerodynamics optimization for hybrid electric aircraft energy management strategy," Energy, Elsevier, vol. 245(C).
    2. Xie, Shaobo & Hu, Xiaosong & Xin, Zongke & Brighton, James, 2019. "Pontryagin’s Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus," Applied Energy, Elsevier, vol. 236(C), pages 893-905.
    3. Hou, Cong & Ouyang, Minggao & Xu, Liangfei & Wang, Hewu, 2014. "Approximate Pontryagin’s minimum principle applied to the energy management of plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 115(C), pages 174-189.
    4. Maurice Clerc, 2010. "Beyond Standard Particle Swarm Optimisation," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 1(4), pages 46-61, October.
    5. Sofia Pinheiro Melo & Alexander Barke & Felipe Cerdas & Christian Thies & Mark Mennenga & Thomas S. Spengler & Christoph Herrmann, 2020. "Sustainability Assessment and Engineering of Emerging Aircraft Technologies—Challenges, Methods and Tools," Sustainability, MDPI, vol. 12(14), pages 1-27, July.
    6. Venkatasubramanian Viswanathan & B. Matthew Knapp, 2019. "Potential for electric aircraft," Nature Sustainability, Nature, vol. 2(2), pages 88-89, February.
    7. Andreas W. Schäfer & Steven R. H. Barrett & Khan Doyme & Lynnette M. Dray & Albert R. Gnadt & Rod Self & Aidan O’Sullivan & Athanasios P. Synodinos & Antonio J. Torija, 2019. "Technological, economic and environmental prospects of all-electric aircraft," Nature Energy, Nature, vol. 4(2), pages 160-166, February.
    8. Yamashita, Daniela Yassuda & Vechiu, Ionel & Gaubert, Jean-Paul, 2020. "A review of hierarchical control for building microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    9. Zaporozhets, Oleksandr & Isaienko, Volodymyr & Synylo, Kateryna, 2020. "Trends on current and forecasted aircraft hybrid electric architectures and their impact on environment," Energy, Elsevier, vol. 211(C).
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    1. Zhang, Jinning & Roumeliotis, Ioannis & Zhang, Xin & Zolotas, Argyrios, 2023. "Techno-economic-environmental evaluation of aircraft propulsion electrification: Surrogate-based multi-mission optimal design approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).

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