Equivalent Consumption Minimization Strategy Based on Fuzzy Logic Control for the Energy Management of Hybrid Unmanned Aerial Vehicle

With the development trend of carbon neutrality and emission reduction in the aviation industry, hybridelectric 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 controlequivalent 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 CO 2 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.