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Endurance improvement by battery dumping strategy considering Peukert effect for electric-powered disposable UAVs

Published online by Cambridge University Press:  16 July 2020

X. Feng
Affiliation:
School of Aeronautics, Northwestern Polytechnical University, Xi’an, China
Y. Sun
Affiliation:
School of Aeronautics, Northwestern Polytechnical University, Xi’an, China
M. Chang*
Affiliation:
Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, China
J. Bai
Affiliation:
Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, China

Abstract

Electric-powered disposable unmanned aerial vehicles (UAVs) have wide applications due to their advantages in terms of long time flight and load capacity. Thus, improving their endurance has become an important task to enhance the performance of these UAVs. To achieve this, we investigated a battery dumping strategy which splits the battery into several packs that are used and dumped in sequence to reduce the dead weight. The Peukert effect is also considered. In this paper, the sensitivity analysis method was employed to analyse the endurance benefits for different battery weight ratios, Peukert constants and capacities, quantitatively. The results show that the endurance benefits are significantly affected by all three parameters. For ideal batteries, the endurance can be improved by 20% and 28% respectively when employing a double-pack or triple-pack battery strategy (for a battery weight ratio of 0.4), but these benefits will fall rapidly if the Peukert constant exceeds 1.0 or the battery weight declines. Besides, the endurance will be 10% longer if the lift coefficient rather than the velocity remains constant after the battery packs are dumped at a Peukert constant of 1.2.

Type
Research Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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References

REFERENCES

Pounds, P. and Singh, S. Integrated electro-aeromechanical structures for low-cost, self-deploying environment sensors and disposable UAVs, IEEE International Conference on Robotics and Automation, 2013, pp 44594466.CrossRefGoogle Scholar
Ji, X.L. and He, G.L. Aerodynamic characteristics of gun-launched loitering munitions and its shape design, Transaction of Beijing Institute of Technology, 2008, 28, (11), pp 953961.Google Scholar
Gettinger, D. and Michel, A.H. Loitering Munitions, Center for the Study of the Drone, 2017.Google Scholar
Cosyn, P. and Vierendeels, J. Design of fixed wing micro air vehicles, The Aeronautical Journal, 2007, 111, (1119), pp 315326.CrossRefGoogle Scholar
Pounds, P. Paper plane: Towards disposable low-cost folded cellulose-substrate UAVs, The Australasian Conference on Robotics and Automation, 2012, pp 35, Victoria University of Wellington, New Zealand.Google Scholar
Pounds, P., Potie, T., Kendoul, F., Singh, S., Jurdak, R. and Robert, J. Automatic Distribution of Disposable Self-deploying Sensor Modules, Experimental Robotics. Springer, Cham, 2016, pp 535543.CrossRefGoogle Scholar
Jun, S.Y., Shastri, A., Sanz-Izquierdo, B., Bird, B. and McClelland, A. Investigation of antennas integrated into disposable unmanned aerial vehicles, IEEE Transactions on Vehicular Technology, 2018, 68, (1), pp 604612.CrossRefGoogle Scholar
Pounds, P. and Singh, S. Samara: Biologically inspired self-deploying sensor networks, IEEE Potentials, 2015, 34, (2), pp 1014.CrossRefGoogle Scholar
Gan, W. and Zhang, X. Design optimization of a three-dimensional diffusing S-duct using a modified SST turbulent model, Aerospace Science and Technology, 2017, 63, pp 6372.CrossRefGoogle Scholar
Gan, W., Zhang, X., Ma, T., Zhang, Q. and Yuan, W. Robust design and analysis of a conformal expansion nozzle with inverse-design idea, Chinese Journal of Aeronautics, 2018, 31, (1), pp 7988.Google Scholar
Roderick, W., Cutkosky, M. and Lentink, D. Touchdown to take-off: At the interface of flight and surface locomotion, Interface Focus, 2017, 7, (1), 20160094.CrossRefGoogle ScholarPubMed
Settele, F., Holzapfel, F. and Knoll, A. The impact of Peukert-effect on optimal control of a battery-electrically driven airplane, Aerospace, 2020, 7, (2), pp 13.CrossRefGoogle Scholar
Liu, B., Ma, X., Wang, H. and Zhou, K. Design analysis methodology for electric-powered mini-UAV, Journal of Northwestern Polytechnical University, 2005, 23, (3), pp 396400.Google Scholar
Feng, H., Min, C. and Shou, T. Comparative analysis on primary parameters of loitering munitions of different propulsion systems, Beijing University of Aeronautics and Astronautics, 2016, 42, pp 16121618.Google Scholar
Harasani, W., Khalid, M., Arai, N., Fukuda, K. and Hiraoka, K. Initial conceptual design and wing aerodynamic analysis of a solar power-based UAV, The Aeronautical Journal, 2014, 118, (1203), pp 540554.CrossRefGoogle Scholar
Jain, K.P. and Mueller, M.W. Flying batteries: In-flight battery switching to increase multirotor flight time, 2019, arXiv preprint arXiv: 1909.10091 .CrossRefGoogle Scholar
Chang, T. and Yu, H. Improving electric powered UAVs’ endurance by incorporating battery dumping concept, Procedia Engineering, 2015, 99, pp 168179.CrossRefGoogle Scholar
Peukert, W., über die Abhängigkeit der Kapazität von der Entladestromstärke bei Bleiakkumulatoren, Elektrotechnische Zeitschrift, 1897, 20, pp 2021.Google Scholar
Doerffel, D. and Sharkh, S.A. A critical review of using the Peukert equation for determining the remaining capacity of lead-acid and lithium-ion batteries, Journal of Power Sources, 2006, 155, (2), pp 395400.CrossRefGoogle Scholar
Sun, Y.H., Jou, H.L. and Wu, J.C. Multilevel Peukert equations based residual capacity estimation method for lead-acid battery, International Conference on Sustainable Energy Technologies, 2008, pp 101105.CrossRefGoogle Scholar
Traub, L.W. Optimal battery weight fraction for maximum aircraft range and endurance, Journal of Aircraft, 2016, 53, (4), pp 11771179.CrossRefGoogle Scholar
Traub, L.W. Range and endurance estimates for battery-powered aircraft, Journal of Aircraft, 2011, 48, (2), pp 703707.CrossRefGoogle Scholar
Traub, L.W. Validation of endurance estimates for battery powered UAVs, The Aeronautical Journal, 2013, 117, (1197), pp 11551166.CrossRefGoogle Scholar
Cheng, F., Wang, H. and Cui, P. Prediction of electric-powered fixed-wing UAV endurance, Journal of Aerospace Power, 2017, 32, (9), 32.Google Scholar
Raymer, D.P. Aircraft Design: A Conceptual Approach, American Institute of Aeronautics and Astronautics, Inc., Reston, VA, 1999, 21.Google Scholar
Shen, L., Wang, H. and Lian, B. Range and endurance estimates for light electric manned aircraft, Journal of Northwestern Polytechnical University, 2015, 33, (4), pp 553559.Google Scholar