IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i13p3969-d587186.html
   My bibliography  Save this article

Modelling and Experimental Validation of a Hybrid Electric Propulsion System for Light Aircraft and Unmanned Aerial Vehicles

Author

Listed:
  • Massimo Cardone

    (Department of Chemical, Material, and Production Engineering, Engineering Faculty, University of Naples Federico II, 80125 Naples, Italy)

  • Bonaventura Gargiulo

    (Department of Chemical, Material, and Production Engineering, Engineering Faculty, University of Naples Federico II, 80125 Naples, Italy)

  • Enrico Fornaro

    (Department of Industrial Engineering, Engineering Faculty, University of Naples Federico II, 80125 Naples, Italy)

Abstract

This article presents a numerical model of an aeronautical hybrid electric propulsion system (HEPS) based on an energy method. This model is designed for HEPS with a total power of 100 kW in a parallel configuration intended for ultralight aircraft and unmanned aerial vehicles (UAV). The model involves the interaction between the internal combustion engine (ICE), the electric motor (EM), the lithium battery and the aircraft propeller. This paper also describes an experimental setup that can reproduce some flight phases, or entire missions, for the reference aircraft class. The experimental data, obtained by reproducing two different take-offs, were used for model validation. The model can also simulate anomalous operating conditions. Therefore, the tests chosen for the model validation are characterized by the EM flux weakening (“de-fluxing”). This model is particularly suitable for preliminary stages of design when it is necessary to characterize the hybrid system architecture. Moreover, this model helps with the choice of the main components (e.g., ICE, EM, and transmission gear ratio). The results of the investigation conducted for different battery voltages and EM transmission ratios are shown for the same mission. Despite the highly simplified model, the average margin of error between the experimental and simulated results was generally under 5%.

Suggested Citation

  • Massimo Cardone & Bonaventura Gargiulo & Enrico Fornaro, 2021. "Modelling and Experimental Validation of a Hybrid Electric Propulsion System for Light Aircraft and Unmanned Aerial Vehicles," Energies, MDPI, vol. 14(13), pages 1-16, July.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3969-:d:587186
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/13/3969/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/13/3969/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sliwinski, Jacob & Gardi, Alessandro & Marino, Matthew & Sabatini, Roberto, 2017. "Hybrid-electric propulsion integration in unmanned aircraft," Energy, Elsevier, vol. 140(P2), pages 1407-1416.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ryszard Palka & Kamil Cierzniewski & Marcin Wardach & Pawel Prajzendanc, 2023. "Research on Innovative Hybrid Excited Synchronous Machine," Energies, MDPI, vol. 16(18), pages 1-14, September.
    2. Paolo Iodice & Enrico Fornaro & Massimo Cardone, 2022. "Hybrid Propulsion in SI Engines for New Generation Motorcycles: A Numerical-Experimental Approach to Assess Power Requirements and Emission Performance," Energies, MDPI, vol. 15(17), pages 1-13, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Tao & Zhang, Yu & Yin, Zhao & Qiu, Liang & Hua, Yang & Zhang, Xian-wen & Qian, Ye-jian, 2023. "Decoupling control scheme optimization and energy analysis for a triaxial gas turbine based on the variable power offtakes/inputs," Energy, Elsevier, vol. 262(PB).
    2. Burston, Martin & Ranasinghe, Kavindu & Gardi, Alessandro & Parezanović, Vladimir & Ajaj, Rafic & Sabatini, Roberto, 2022. "Design principles and digital control of advanced distributed propulsion systems," Energy, Elsevier, vol. 241(C).
    3. Zaid O. Alrayes & Mohamed Gadalla, 2021. "Development of a Flexible Framework Multi-Design Optimization Scheme for a Hand Launched Fuel Cell-Powered UAV," Energies, MDPI, vol. 14(10), pages 1-27, May.
    4. Ji, Zhixing & Qin, Jiang & Cheng, Kunlin & Guo, Fafu & Zhang, Silong & Zhou, Chaoying & Dong, Peng, 2020. "Determination of the safe operation zone for a turbine-less and solid oxide fuel cell hybrid electric jet engine on unmanned aerial vehicles," Energy, Elsevier, vol. 202(C).
    5. Duan, Buren & Zhang, Haonan & Hua, Zuohao & Wu, Lizhi & Bao, Zijing & Guo, Ning & Ye, Yinghua & Shen, Ruiqi, 2022. "Burning characteristics and combustion wave model of AP/AN-based laser-controlled solid propellant," Energy, Elsevier, vol. 253(C).
    6. Zhang, Haonan & Duan, Buren & Wu, Lizhi & Hua, Zuohao & Bao, Zijing & Guo, Ning & Ye, Yinghua & Galfetti, Luciano & DeLuca, Luigi T. & Shen, Ruiqi, 2021. "Actualization of an efficient throttleable laser propulsion mode," Energy, Elsevier, vol. 221(C).
    7. Koruyucu, Elif, 2019. "Energy and exergy analysis at different hybridization factors for hybrid electric propulsion light utility helicopter engine," Energy, Elsevier, vol. 189(C).
    8. Bravo, Guillem Moreno & Praliyev, Nurgeldy & Veress, Árpád, 2021. "Performance analysis of hybrid electric and distributed propulsion system applied on a light aircraft," Energy, Elsevier, vol. 214(C).
    9. Tao Lei & Zhihao Min & Qinxiang Gao & Lina Song & Xingyu Zhang & Xiaobin Zhang, 2022. "The Architecture Optimization and Energy Management Technology of Aircraft Power Systems: A Review and Future Trends," Energies, MDPI, vol. 15(11), pages 1-37, June.
    10. 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).
    11. 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).
    12. Ranasinghe, Kavindu & Guan, Kai & Gardi, Alessandro & Sabatini, Roberto, 2019. "Review of advanced low-emission technologies for sustainable aviation," Energy, Elsevier, vol. 188(C).
    13. Ji, Zhixing & Qin, Jiang & Cheng, Kunlin & Liu, He & Zhang, Silong & Dong, Peng, 2019. "Performance evaluation of a turbojet engine integrated with interstage turbine burner and solid oxide fuel cell," Energy, Elsevier, vol. 168(C), pages 702-711.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3969-:d:587186. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.