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Fuel economy of hybrid electric flight

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  • Donateo, Teresa
  • Spedicato, Luigi

Abstract

The present investigation addresses the problem of evaluating the endurance of hybrid electric aircraft and discusses the effect of battery specifications and the engine working points on fuel economy. In particular, the endurance per unit mass of fuel of a hybrid power system is calculated by assuming a constant power-level flight performed with alternate cycles of battery charging and discharging (ON-OFF strategy). The computation of the fuel economy requires accurate models for the time, the power and the energy associated with battery charging and discharge processes. In order to reach this goal, two approaches proposed in literature to evaluate electric endurance were discussed, amended and validated through comparison with experimental data. A model for constant-current/constant voltage battery charge was also presented and validated with literature experimental data. In order to explain how these models can be applied to real applications, a parallel hybrid power system was sized and analyzed for a medium-altitude long-endurance unmanned aerial vehicle. Lithium polymer batteries and two stroke diesel engines were considered and three different hybridization degrees were analyzed. The results showed a trade-off between electric flight time and overall endurance per unit mass of fuel and an improvement up to 12% in fuel consumption with respect to a non-hybrid case with the same engine.

Suggested Citation

  • Donateo, Teresa & Spedicato, Luigi, 2017. "Fuel economy of hybrid electric flight," Applied Energy, Elsevier, vol. 206(C), pages 723-738.
    • Handle: RePEc:eee:appene:v:206:y:2017:i:c:p:723-738
    DOI: 10.1016/j.apenergy.2017.08.229
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    References listed on IDEAS

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    Cited by:

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    2. Małgorzata Pawlak & Michał Kuźniar, 2022. "The Effects of the Use of Algae and Jatropha Biofuels on Aircraft Engine Exhaust Emissions in Cruise Phase," Sustainability, MDPI, vol. 14(11), pages 1-10, May.
    3. Goldberg, C. & Nalianda, D. & Sethi, V. & Pilidis, P. & Singh, R. & Kyprianidis, K., 2018. "Assessment of an energy-efficient aircraft concept from a techno-economic perspective," Applied Energy, Elsevier, vol. 221(C), pages 229-238.
    4. Cadini, F. & Sbarufatti, C. & Cancelliere, F. & Giglio, M., 2019. "State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters," Applied Energy, Elsevier, vol. 235(C), pages 661-672.
    5. 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).
    6. 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).
    7. Michał Kuźniar & Małgorzata Pawlak & Marek Orkisz, 2022. "Comparison of Pollutants Emission for Hybrid Aircraft with Traditional and Multi-Propeller Distributed Propulsion," Sustainability, MDPI, vol. 14(22), pages 1-22, November.

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