I.D. Lupkin1, B.G. Vetrov2, M.S. Moiseenko3, V.A. Lozhkin4, V.S. Popryadukhin5

1–4 Saint Petersburg State Marine Technical University (St. Petersburg, Russia)

5 Melitopol State University (Melitopol, Russia)

1–3marine_electronics@smtu.ru, 4vlad@lozhkin.su, 5vadim05051988popryaduhin@yandex.ru

Unmanned aerial vehicles are characterized by short-duration peak loads in the most energy-demanding operating modes (engine start, takeoff). These loads increase the stress on battery packs and may reduce both their service life and the robustness of the onboard power supply. This motivates the use of hybrid solutions capable of covering peak power demand without excessive battery loading. To develop a hybrid power supply system for an unmanned aerial vehicle based on a lithium-polymer battery and a supercapacitor, incorporating a power converter for pre-charging the supercapacitor, and to evaluate its performance using computer simulation. A hybrid power supply architecture is proposed in which the supercapacitor is pre-charged from the lithium-polymer battery via a power converter. It is shown that the energy stored in the supercapacitor supplies the onboard power system during peak-demand modes (engine start, takeoff), while at reduced power demand the load is shared between the battery and the supercapacitor, thereby decreasing battery stress. The effectiveness of the proposed system is confirmed by computer simulation results. The proposed architecture can be used in the design of unmanned aerial vehicle power supply systems to improve power robustness under peak loads and to reduce battery loading.

Lupkin I.D., Vetrov B.G., Moiseenko M.S., Lozhkin V.A., Popryadukhin V.S. Hybrid power supply scheme for industrial unmanned aerial vehicles based on batteries and supercapacitors. Electromagnetic waves and electronic systems. 2026. V. 31. № 2. P. 6−13. DOI: https://doi.org/10.18127/j15604128-202602-02 (in Russian)

1. Kang K.M., Ko Y.S., Lee Y.S., Yi Ju., Won Ch.Yu. The Operation Method of Hybrid Power Supply System Combining Lithium Polymer Battery and Supercapacitor for Industrial Drones. Energies. 2023. V. 16. № 22. P. 7552. DOI 10.3390/en16227552.
2. Li X., Tupayachi J., Sharmin A., Martinez Ferguson M. Drone-Aided Delivery Methods, Challenge, and the Future: A Methodological Review. Drones. 2023. V. 7. № 3. P. 191. DOI 10.3390/drones7030191.
3. Şahin M.E., Blaabjerg F. A Hybrid PV-Battery/Supercapacitor System and a Basic Active Power Control Proposal in MATLAB/Simulink. Electronics. 2020. V. 9. № 1. P. 129. DOI 10.3390/electronics9010129.
4. Buller S., Thele M., De Doncker R.W.A.A., Karden E. Impedance-based simulation models of supercapacitors and Li-ion batteries for power electronic applications. IEEE Transactions on Industry Applications. 2005. V. 41. № 3. P. 742–747.
5. Kolesov V.V., Reshetilov A.N. Microenergy: energy storage systems for microelectronic devices. Radio Engineering. 2015. № 8. P. 66–72. (in Russian)
6. Epifantsev I.R., Zhilenkov A.A., Markovkina N.N. The influence of a powerful conversion load on the energy quality of an autonomous electric power system of a transport facility. Electrical engineering. 2022. № 6. P. 33–38. (in Russian)
7. Mathew N., Smith S.L., Waslander S.L. Planning Paths for Package Delivery in Heterogeneous Multirobot Teams. IEEE Transactions on Automation Science and Engineering. 2015. V. 12. № 4. P. 1298–1308. DOI 10.1109/TASE.2015.2461213.
8. Zhilenkov A.A., Moiseev I.S., Serebryakov M.Yu. Efficiency of an active filter-compensating device on an electromotive vessel. Electrical Engineering. 2022. № 6. P. 45–51. DOI 10.53891/00135860_2022_6_45. (in Russian)
9. Novikov A.V., Zhilenkov A.A., Markovkina N.N., Ivanov A.I. Problems and Ways of Creating Efficient Electric Power Installations for Unmanned Underwater Vehicles Based on Chemical Current Sources. Russian Electrical Engineering. 2021. V. 92. № 5. P. 262–267. DOI 10.3103/S1068371221050084.