Volume 20: Sustainable Energy Solutions for a Post-COVID Recovery towards a Better Future: Part III

Equivalent Consumption Minimization Strategy based on fuzzy logic control for the energy management of hybrid Unmanned Aerial Vehicle Mingliang Bai, Wenjiang Yang, Dongbin Song, Marek Kosuda, Miroslav Kelemen



With the development trend of carbon neutrality and emission reduction in the aviation industry, hybrid-electric propulsion system (HEPS) is one of the feasible solutions that can significantly reduce fuel consumption, carbon emission and maintenance cost. HEPS with multiple power sources requires the reasonable energy management strategy (EMS) to monitor and regulate the working status of each component in real time. Equivalent consumption minimum strategy (ECMS) can distribute the output power of the engine and battery effectively, but it cannot maintain the state of charge (SOC) within permitted range. Therefore, combining the advantages of robustness and adaptability in fuzzy logic control (FLC), we proposed the fuzzy logic control-equivalent consumption minimum strategy (FLC-ECMS) for series hybrid Unmanned Aerial Vehicle (UAV). Under the cruise flight mission profile, the simulation results showed that hybrid UAV with the ECMS and FLC-ECMS can reduce fuel consumption and CO2 emissions by 22% versus the engine-only UAV. Moreover, compared to ECMS, FLC-ECMS can decrease fuel and emissions while maintaining the battery SOC in the tolerance interval, and keeping the smaller front-to-back difference of SOC, which verifies the effectiveness of this strategy.

Keywords equivalent consumption minimum strategy, energy management strategy, fuzzy logic control, hybrid-electric propulsion system, unmanned aerial vehicle

Copyright ©
Energy Proceedings