Validating Lithium-Polymer Battery Discharge Models to Ensure Uav Flight Safety and Performance

• Autorzy: Shcherban Anastasiia , Eremenko Vladymir

Identyfikatory

DOI

10.2478/tar-2024-0024

• Języki publikacji: EN

Abstrakty

EN

This article proposes a methodology for assessing the adequacy of mathematical models for the discharge characteristics of lithium-polymer batteries (LPABs) used in unmanned aerial vehicles (UAVs). The methodology is based on ISO 5725 standards, focusing on the evaluation of trueness and precision under repeatability and reproducibility conditions. Experimental studies were conducted to collect data on LPAB discharge behavior and surface temperature dynamics across a range of environmental conditions (-20°C to +50°C). Key analyses included systematic error evaluation, statistical variance assessment, and the formulation of precision criteria using tools such as pairwise differences, mean square deviation, and statistical tests. The results validate the developed regression and simulation models, confirming their reliability for predicting battery performance under dynamic operational conditions. The study provides a robust framework for UAV battery monitoring, enabling accurate prediction of flight duration and ensuring safe and efficient UAV operation across diverse environmental scenarios.

Słowa kluczowe

EN

Unmanned Aerial Vehicle; UAV; lithium-polymer battery; LPAB; battery discharge modeling; ISO 5725; flight safety

• Wydawca: Wydawnictwa Naukowe Sieci Badawczej Łukasiewicz - Instytutu Lotnictwa
• Czasopismo: Transactions on Aerospace Research
• Rocznik: 2024
• Tom: Nr 4 (277)
• Strony: 80--100
• Opis fizyczny: Bibliogr. 12 poz., fot., rys., tab., wzory

Twórcy

autor

Shcherban Anastasiia

• Department of Information and Measurement Technologies, Faculty of Instrumentation Engineering, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37 Prosp. Peremohy, Kyiv, Ukraine, 03056

• https://orcid.org/0000-0002-2643-5024

autor

Eremenko Vladymir

• Department of Information and Measurement Technologies, Faculty of Instrumentation Engineering, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37 Prosp. Peremohy, Kyiv, Ukraine, 03056

• https://orcid.org/0000-0002-4330-7518

Bibliografia

• [1] Shcherban A, Eremenko V. UAV battery charge monitoring system using fuzzy logic. Studies in Systems, Decision and Control. 2023;481:195-221. doi:10.1007/978-3-031-35088-7_12.
• [2] Shcherban AP, Larin VJ, Maslov VP, Kachur NV, Ryzhykh VM, Markina OM. Use of the infrared thermography method to develop discharging rules for lithium polymer batteries. Semiconductor Physics Quantum Electronics & Optoelectronics. 2019;22(2):252-6.
• [3] International Organization for Standardization (ISO). Accuracy (trueness and precision) of measurement methods and results. Part 1. Basic provisions and definitions. ISO 5725-1:2005. Geneva: ISO; 2006.
• [4] International Organization for Standardization (ISO). Statistics - Vocabulary and symbols. Part 1: General statistical terms and terms used in probability. ISO 3534-1:2008. Geneva: ISO; 2010.
• [5] Xiang J, Liu Y, Luo Z. Flight safety measurements of UAVs in congested airspace. Chinese Journal of Aeronautics. 2016;29(5):1355-66.
• [6] Liu Y, Zhang X, Guan X, Delahaye D. Adaptive sensitivity decision-based path planning algorithm for unmanned aerial vehicle with improved particle swarm optimization. Aerospace Science and Technology. 2016;58:92-102.
• [7] Stolzer AJ. Safety management systems in aviation. Routledge; 2017.
• [8] Oman H. Battery developments that will make electric vehicles practical. IEEE Aerospace & Electronics Systems Magazine. 2000;1(8):11-21.
• [9] Shcherban AP, Larin VY. Pryncipy roboty ta osoblyvosti vykorystannia litii-polimernykh akumuliatoriv [Principles of operation and peculiarities of using lithium-polymer accumulators]. Tekhnolohichnyi Audyt ta Rezervy Vyrobnytstva [Technological Audit and Reserves of Production]. 2015;(3):83-8. [in Ukrainian].
• [10] Scherban A, Larin V, Maslov V, Kachur N. Sensory information technologies for the safety of flight of unmanned aerial vehicles. Optoelectronics and Semiconductor Technology. 2019;54:96-111.
• [11] Clothier RA, Walker RA. Safety risk management of unmanned aircraft systems. In: Handbook of Unmanned Aerial Vehicles. 2015. p. 2229-75.
• [12] Shcherban AP, Larin VJ, Maslov VP, Kachur NV. Criterion for determining the period of energetically safe flight of unmanned aerial vehicles. Journal of Multidisciplinary Engineering Science Studies. 2018;4(11):2281-8.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025)