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Prediction of the Final Discharge of the UAV Battery Based on Fuzzy Logic Estimation of Information and Influencing Parameters

Vitalii Larin, Олександр Соломенцев, Maksym Zaliskyi, Anastasiia Shcherban, Yuliya Averyanova, Ivan Ostroumov, Nataliia Kuzmenko, Olha Sushchenko, Yurii Bezkorovainyi

20222022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)36 citationsDOI

Abstract

The article, based on the analysis of existing battery management systems, developed a method for determining the critical battery discharge time based on fuzzy logic apparatus that uses data on informative and influential parameters, comparing the defined critical time with the planned and, if necessary, maintaining the required level of flight safety.

Topics & Concepts

Fuzzy logicBattery (electricity)Computer scienceEstimationReliability engineeringData miningReal-time computingControl engineeringEngineeringArtificial intelligenceSystems engineeringPower (physics)PhysicsQuantum mechanicsAdvanced Data Processing TechniquesFault Detection and Control SystemsEngineering Diagnostics and Reliability
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