Abstract
Unmanned Aerial vehicle (UAV) systems have an insufficient amount of onboard energy which is being shared for mobility, transmission, data processing, control and payload related applications. Different energy sources have been investigated and applied to solve unmanned aerial vehicle energy limitations. These energy sources were either used as single sources or hybrid for the reason of UAV weight budget or miniaturization. To achieve the aforementioned designed criteria, researchers around the globe are continuously investigating different energy sources and hybridization techniques while others focus on the Energy Management System (EMS) such to achieve optimal energy sources utilization. Such energy sources and supplying techniques are battery swapping, wireless Power Transfer (WPT), tethering methods, Fuel Cells (FC), and SuperCapacitors (SC). While, the hybridization technique is based on the combination of single energy source with either renewable energy sources, Internal Combustion Engine (ICE) to save fuel or WPT. Example of such hybridization techniques are solar and battery storage, Fuel Cell (FC) and Battery Storage (BS) etc. This article presents an in-depth review of UAV energy sources, hybridization techniques and EMS. Their challenges and methods adopted by researchers to mitigate such UAV energy challenges.
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References
Cord, T.: Skytote advanced cargo delivery system. In: AIAA International Air and Space Symposium and Exposition: The Next 100 Years (2003)
Woodworth, A., Peverill, J.: Tethered aerial system for data gathering. Google Patents (2013)
Lin, Z.L., Liu, H.H.T., Wotton, M.: Kalman filter-based large-scale wildfire monitoring with a system of UAVs. IEEE Trans. Ind. Electr. 66(1), 606–615 (2018)
Valavanis, K.P.V., George, J.: Handbook of Unmanned Aerial Vehicles, pp. 2639–2641. Springer, Dordrecht (2015)
Mozaffari, M., et al.: A tutorial on UAVs for wireless networks: applications, challenges, and open problems (2019)
Hu, X., Wong, K.-K., Yang, K.: Wireless powered cooperation-assisted mobile edge computing. IEEE Trans. Wireless Commun. 17(4), 2375–2388 (2018)
Cwojdziński, L., Adamski, M.: Power units and power supply systems in UAV. Aviation 18(1), 1–8 (2014)
Iqbal, J., Khan, Z.H.: The potential role of renewable energy sources in robot’s power system: a case study of Pakistan. Renew. Sustain. Energy Rev. 75, 106–122 (2017)
Aneke, M., W.M.: Energy storage technologies and real life applications–a state of the art review. Appl. Energy 179, 350–77 (2018)
Buticchi, G., et al.: On-board microgrids for the more electric aircraft—technology review. IEEE Trans. Industr. Electron. 66(7), 5588–5599 (2018)
Lei, T., et al.: The state of art on energy management strategy for hybrid-powered unmanned aerial vehicle. Chinese J. Aeronaut. (2019)
Nadir, B.M., Zhibin, Z., Benbouzid, M.: A critical review on unmanned aerial vehicles power supply and energy management: solutions, strategies, and prospects. Appl. Energy 255, 113823 (2019)
Chung, P.-H., Ma, D.-M., Shiau, J.-K.: Design, manufacturing, and flight testing of an experimental flying wing UAV. Appl. Sci. 9(15), 3043 (2019)
Freeman, P., Balas, G.J.: Actuation failure modes and effects analysis for a small UAV. In: 2014 American Control Conference. IEEE (2014)
Hung, J., Gonzalez, L.F.: On parallel hybrid-electric propulsion system for unmanned aerial vehicles. Prog. Aerosp. Sci. 51, 1–17 (2012)
Jansen, R., et al.: Overview of NASA electrified aircraft propulsion (EAP) research for large subsonic transports. In: 53rd AIAA/SAE/ASEE Joint Propulsion Conference (2017)
El-Sayed, A.F.: Aircraft Propulsion and Gas Turbine Engines. CRC Press, Boca Raton (2017)
Fahlstrom, P., Gleason, T.: Introduction to UAV Systems. Wiley, Hoboken (2012)
King, D.W., Bertapelle, A., Moses, C.: UAV failure rate criteria for equivalent level of safety. In: International Helicopter Safety Symposium, Montreal (2005)
Petritoli, E., Leccese, F., Ciani, L.: Reliability assessment of UAV systems. In: 2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace). IEEE (2017)
Bongermino, E., et al.: Hybrid aeronautical propulsion: control and energy management. IFAC-PapersOnLine 50(2), 169–174 (2017)
Huang, Y., et al.: Energy-optimal path planning for solar-powered UAVs monitoring stationary target. In: Proceedings of the 4th ACM SIGSPATIAL International Workshop on Safety and Resilience. ACM (2018)
Chin, C.K.: Extending the endurance, missions and capabilities of most UAVs using advanced flexible/ridged solar cells and new high power density batteries technology. Naval Postgraduate School Monterey CA (2011)
Adam, P., Leachman, J.: Design of a reconfigurable liquid hydrogen fuel tank for use in the Genii unmanned aerial vehicle. In: AIP Conference Proceedings. AIP (2014)
Saha, B., et al.: Battery health management system for electric UAVs. In: 2011 Aerospace Conference. IEEE (2011)
Sastry, A.M., et al.: Energy storage system. Google Patents (2019)
Koster, J., et al.: Hybrid electric integrated optimized system (HELIOS)-design of a hybrid propulsion system for aircraft. In: 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition (2011)
Zandi, M., Payman, A., Martin, J.P., Pierfederici, S., Davat, B.: Energy management of a fuel cell/supercapacitor/battery power sources for electric vehicular applications. IEEE Trans. Veh. Technol. 60, 433–443 (2011)
Yang, Z., et al.: The testing platform of hybrid electric power system for a fuel cell unmanned aerial vehicle. In: IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), pp. 1–8. IEEE, Nottingham (2018)
Xu, J., Zeng, Y., Zhang, R.: UAV-enabled wireless power transfer: trajectory design and energy optimization. IEEE Trans. Wireless Commun. 17(8), 5092–5106 (2018)
Traub, L.W.: Range and endurance estimates for battery-powered aircraft. J. Aircraft 48(2), 703–707 (2011)
Hwang, S.-J., Kim, S.-G., Kim, C.-W., Lee, Y.-G.: Aerodynamic design of the solar-powered high altitude long endurance (HALE) unmanned aerial vehicle (UAV). Int. J. Aeronaut. Space Sci. 17(1), 132–138 (2016)
Morton, S., D’Sa, R., Papanikolopoulos, N.: Solar powered UAV: design and experiments. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE (2015)
Belmonte, N., et al.: Fuel cell powered octocopter for inspection of mobile cranes: design, cost analysis and environmental impacts. Appl. Energy 215, 556–565 (2018)
Gong, A., et al.: Analysis of a fuel-cell/battery/supercapacitor hybrid propulsion system for a UAV using a hardware-in-the-loop flight simulator. In: 2018 AIAA/IEEE Electric Aircraft Technologies Symposium (EATS). IEEE (2018)
Gong, A., Verstraete, D.: Role of battery in a hybrid electrical fuel cell UAV propulsion system (2014)
Lubkowski, S., et al.: Trade-off analysis of regenerative power source for long duration loitering Airship. In: 2010 IEEE Systems and Information Engineering Design Symposium. IEEE (2010)
Hasvold, O., Johansen, K.H., Mollestad, O., Forseth, S., Størkersen, N.: The alkaline aluminium/hydrogen peroxide power source in the Hugin II unmanned underwater vehicle. J. Power Sources 80(1–2), 254–260 (1999)
Thackeray, M.M., Wolverton, C., Isaacs, E.D.: Electrical energy storage for transportation—approaching the limits of, and going beyond, lithium-ion batteries. Energy Environ. Sci. 5(7), 7854–7863 (2012)
Mansouri, S.S., et al.: Remaining useful battery life prediction for UAVs based on machine learning. IFAC-PapersOnLine 50(1), 4727–4732 (2017)
Morbidi, F., Cano, R., Lara, D.: Minimum-energy path generation for a quadrotor UAV. In: 2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE (2016)
Donateo, T., et al.: A new approach to calculating endurance in electric flight and comparing fuel cells and batteries. Appl. Energy 187, 807–819 (2017)
Jacobsen, R., Ruhe, N., Dornback, N.: Autonomous UAV Battery Swapping (2018)
Wang, M.: Systems and methods for UAV battery exchange. Google Patents (2016)
Gentry, N.K., Hsieh, R., Nguyen, L.K.: Multi-use UAV docking station systems and methods. US Patent App. 15/159,859 (2018)
Michini, B., et al.: Automated battery swap and recharge to enable persistent UAV missions. In: Infotech@ Aerospace 2011, p. 1405 (2011)
Kemper, F.P., Suzuki, K.A., Morrison, J.R.: UAV consumable replenishment: design concepts for automated service stations. J. Intell. Rob. Syst. 61(1–4), 369–397 (2011)
Swieringa, K.A., et al.: Autonomous battery swapping system for small-scale helicopters. In: 2010 IEEE International Conference on Robotics and Automation. IEEE (2010)
Ure, N.K., et al.: An automated battery management system to enable persistent missions with multiple aerial vehicles. IEEE/ASME Trans. Mechatron. 20(1), 275–286 (2014)
Liu, Z.-N., et al.: QUADO: an autonomous recharge system for quadcopter. In: 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM). IEEE (2017)
Achtelik, M.C., et al.: Design of a flexible high performance quadcopter platform breaking the MAV endurance record with laser power beaming. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE (2011)
Sun, B., Tan, X., Tsang, D.H.: Optimal charging operation of battery swapping stations with QoS guarantee. In: 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE (2014)
Tan, X., et al.: Optimal scheduling of battery charging station serving electric vehicles based on battery swapping. IEEE Trans. Smart Grid 10(2), 1372–1384 (2017)
Junaid, A., et al.: Autonomous wireless self-charging for multi-rotor unmanned aerial vehicles. Energies 10(6), 803 (2017)
Griffin, B.: Automated resonant wireless power transfer to remote sensors from an unmanned aerial vehicle (2012)
Kausar, A.Z., et al.: Energizing wireless sensor networks by energy harvesting systems: scopes, challenges and approaches. Renew. Sustain. Energy Rev. 38, 973–989 (2014)
Vega‐Garita, V., et al.: Integrating a photovoltaic storage system in one device: a critical review. Progr. Photovol. Res. Appl. 27(4), 346–370 (2019)
Shiau, J.-K., et al.: Design of a solar power management system for an experimental UAV. IEEE Trans. Aerosp. Electron. Syst. 45(4), 1350–60 (2009)
Muttin, F.: Umbilical deployment modeling for tethered UAV detecting oil pollution from ship. Appl. Ocean Res. 33(4), 332–343 (2011)
Gu, B.W., et al.: Novel roaming and stationary tethered aerial robots for continuous mobile missions in nuclear power plants. Nuclear Eng. Technol. 48(4), 982–996 (2016)
Nicotra, M.M., Naldi, R., Garone, E.: Taut cable control of a tethered UAV. IFAC Proc. Vol. 47(3), 3190–3195 (2014)
Kiribayashi, S., Yakushigawa, K., Nagatani, K.: Design and development of tether-powered multirotor micro unmanned aerial vehicle system for remote-controlled construction machine. In: Hutter, M., Siegwart, R. (eds.) Field and Service Robotics. SPAR, vol. 5, pp. 637–648. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-67361-5_41
Kim, T., Kwon, S.: Design and development of a fuel cell-powered small unmanned aircraft. Int. J. Hydrogen Energy 37(1), 615–622 (2012)
Sharaf, O.Z., Orhan, M.F.: An overview of fuel cell technology: fundamentals and applications. Renew. Sustain. Energy Rev. 32, 810–853 (2014)
Swider-Lyons, K., et al.: Hydrogen fule cell propulsion for long endurance small UVAs. In: AIAA Centennial of Naval Aviation Forum. 100 Years of Achievement and Progress (2011)
Lee, B., et al.: Active power management system for an unmanned aerial vehicle powered by solar cells, a fuel cell, and batteries. IEEE Trans. Aerosp. Electron. Syst. 50(4), 3167–3177 (2014)
Williams, M.C., Suzuki, A., Miyamoto, A.: Assessment of the performance of fuel cells and batteries. ECS Trans. 51(1), 183–192 (2013)
Lee, B., Park, P., Kim, C.: Power managements of a hybrid electric propulsion system powered by solar cells, fuel cells, and batteries for UAVs. In: Handbook of Unmanned Aerial Vehicles, pp. 495–524 (2015)
Gao, L., Jiang, Z., Dougal, R.A.: Evaluation of active hybrid fuel cell/battery power sources. IEEE Trans. Aerosp. Electron. Syst. 41(1), 346–355 (2005)
González, E.L., et al.: Experimental evaluation of a passive fuel cell/battery hybrid power system for an unmanned ground vehicle. Int. J. Hydrogen Energy 44(25), 12772–12782 (2019)
Gang, B.G., Kwon, S.: Design of an energy management technique for high endurance unmanned aerial vehicles powered by fuel and solar cell systems. Int. J. Hydrogen Energy 43(20), 9787–9796 (2018)
Rapinett, A.: Zephyr: a high altitude long endurance unmanned air vehicle. Doctor, Department of Physics, University of Surrey (2009)
Donateo T., Spedicato, L.: Fuel economy of hybrid electric flight. Appl. Energy 206, 723–38 (2019)
Khayyam, H., Bab-Hadiashar, A.: Adaptive intelligent energy management system of plug-in hybrid electric vehicle. Energy 69(5), 319–35 (2014)
Sikeridis, D., et al.: Wireless powered Public Safety IoT: A UAV-assisted adaptive-learning approach towards energy efficiency. J. Netw. Comput. Appl. 123, 69–79 (2018)
Larsson, V., Johannesson, L., Egardt, B.: Analytic solutions to the dynamic programming sub-problem in hybrid vehicle energy management. IEEE Trans. Veh. Technol. 64(4), 1458–1467 (2014)
Chen, Q., Gao, L., Dougal, R.A., Quan, S.: Multiple model predictive control for a hybrid proton exchange membrane fuel cell system. J. Power Sources. 191(2), 473–82 (2009)
Glassock, R., et al.: Design, modelling and measurement of a hybrid powerplant for unmanned aerial systems. Austr. J. Mech. Eng. 6(2), 69–78 (2008)
Peng, L., et al.: A novel tangent error maximum power point tracking algorithm for photovoltaic system under fast multi-changing solar irradiances. Appl. Energy 2018(210), 303–316 (2018)
Xie, Y., Savvaris, A., Tsourdos, A.: Fuzzy logic based equivalent consumption optimization of a hybrid electric propulsion system for unmanned aerial vehicles. Aerosp. Sci. Technol. 85, 13–23 (2019)
Karunarathne, L., Economou, J.T., Knowles, K.: Model based power and energy management system for PEM fuel cell/Li-Ion battery driven propulsion system (2010)
Zhang, X., Liu, L., Xu, G.: Energy management strategy of hybrid PEMFC-PV-battery propulsion system for low altitude UAVs. In: 52nd AIAA/SAE/ASEE Joint Propulsion Conference (2016)
Kuroki, Y., Young, G.S., Haupt, S.E.: UAV navigation by an expert system for contaminant mapping with a genetic algorithm. Expert Syst. Appl. 37(6), 4687–4697 (2010)
Todd, R., Forsyth, A.: DC-bus power quality for UAV systems during generator fault conditions (2010)
Logic, F.: Foundations of fuzzy logic and semantic web languages (2014)
Smith, J.F., Nguyen, T.: Fuzzy logic based resource manager for a team of UAVs. In: NAFIPS 2006–2006 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE (2006)
Zhang, X., et al.: Experimental investigation on the online fuzzy energy management of hybrid fuel cell/battery power system for UAVs. Int. J. Hydrogen Energy 43(21), 10094–10103 (2018)
Wang, A., Yang, W.: Design of energy management strategy in hybrid electric vehicles by evolutionary fuzzy system part II: tuning fuzzy controller by genetic algorithms. In: 2006 6th World Congress on Intelligent Control and Automation. IEEE (2006)
Wang, A., Yang, W.: Design of energy management strategy in hybrid vehicles by evolutionary fuzzy system part I: fuzzy logic controller development. In: 2006 6th World Congress on Intelligent Control and Automation. IEEE (2006)
Lakhmi Jain, P.D., Anna Maria Fanelli, P.D.: Recent Advances in Artificial Neural Networks Design and Applications, vol. 315. CRC Press (2000). ed. P.D. L.C. Jain, M.E., B.E. (Hons), Fellow I.E. (Australia)
Xu, L., et al.: Multi-objective component sizing based on optimal energy management strategy of fuel cell electric vehicles. Appl. Energy 157, 664–674 (2015)
Eren, U., et al.: Model predictive control in aerospace systems: current state and opportunities. J. Guid. Contr. Dyn. 40(7), 1541–1566 (2017)
Geng, B., Mills, J.K., Sun, D.: Energy management control of microturbine-powered plug-in hybrid electric vehicles using the telemetry equivalent consumption minimization strategy. IEEE Trans. Veh. Technol. 60, 4238–4248 (2011)
Han, J., Kum, D., Park, Y.: Synthesis of predictive equivalent consumption minimization strategy for hybrid electric vehicles based on closed-form solution of optimal equivalence factor. IEEE Trans. Veh. Technol. 66, 5604–5616 (2017)
Choi, Y., Jimenez, H., Mavris, D.N.: Two-layer obstacle collision avoidance with machine learning for more energy-efficient unmanned aircraft trajectories. Robot. Auton. Syst. 98, 158–173 (2017)
Bellingham, J., et al.: Multi-task allocation and path planning for cooperating UAVsl. In: Butenko, S., Murphey, R., Pardalos, P.M. (eds.) Cooperative Control: Models, Applications and Algorithms, vol. 1, pp. 23–41. Springer, Boston (2003). https://doi.org/10.1007/978-1-4757-3758-5_2
Amoiralis, E.I., Tsili, M.A., Spathopoulos, V., Hatziefremidis, A.: Energy efficiency optimization in UAVs: a review. Mater. Sci. Forum 792, 281–286 (2014)
Leonard, J., Savvaris, A., Tsourdos, A.: Energy management in swarm of unmanned aerial vehicles. J. Intell. Rob. Syst. 74(1–2), 233–250 (2013). https://doi.org/10.1007/s10846-013-9893-8
Zhang, X., Liu, L., Dai, Y.: Fuzzy state machine energy management strategy for hybrid electric UAVs with PV/fuel cell/battery power system. Int. J. Aerosp. Eng. 2018 (2018)
Panagiotou, P., Tsavlidis, I., Yakinthos, K.: Conceptual design of a hybrid solar MALE UAV. Aerosp. Sci. Technol. 53, 207–219 (2016)
Hajianmaleki, M.: Conceptual design method for solar powered aircrafts. In: AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition (2011)
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Shehu, I.A., Mohammed, M., Sulaiman, S.H., Abdulkarim, A., Alhassan, A.B. (2021). A Review on Unmanned Aerial Vehicle Energy Sources and Management. In: Abawajy, J.H., Choo, KK.R., Chiroma, H. (eds) International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020). EATI 2020. Lecture Notes in Networks and Systems, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-030-80216-5_14
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