Fuzzy Logic-Based Energy Management Strategy of Hybrid Electric Propulsion System for Fixed-Wing VTOL Aircraft

• Published in: Aerospace 2022-09, Vol.9 (10), p.547
• Main Authors: Zhu, Yingtao, Zhu, Bingjie, Yang, Xixiang, Hou, Zhongxi, Zong, Jianan
• Format: Article
• Language: English
• Subjects: Aircraft; Aircraft models; Analysis; Batteries; Consumption; Design; Efficiency; Electric power; Electricity distribution; Energy management; energy management strategy; Energy management systems; Energy use; Fixed wings; Fly by wire control; Flying-machines; Fuel cells; Fuel economy; Fuzzy algorithms; Fuzzy logic; fuzzy logic control; Fuzzy systems; hybrid electric system; Hybrid propulsion systems; Hybrid vehicles; Internal combustion engines; Optimization; Power management; Propulsion system design; Velocity; Vertical takeoff aircraft; VTOL aircraft
• ISSN: 2226-4310; 2226-4310
• DOI: 10.3390/aerospace9100547

An energy management strategy for a series hybrid electric propulsion system designed for a fixed-wing vertical take-off and landing (VTOL) aircraft is presented in this paper. The proposed method combines an ideal operating line (IOL) and fuzzy logic. Fuzzy logic is used to dynamically and optimally allocate the output power of the generator and the battery pack according to the power requirement of the aircraft and the SOC of the battery pack. The IOL controller is used to optimize the internal combustion engine (ICE) operating point to improve the fuel economy of the system. The detailed aircraft model and energy system model are established. The flight process of a 100 kg scale VTOL aircraft under a typical mission profile is simulated. The simulation results show that running the ICE based on IOL can greatly improve its efficiency The introduction of fuzzy logic to optimize the power allocation of the generator and battery pack improves the overall efficiency of the system. The feasibility and effectiveness of the energy management strategy proposed in this paper are verified, and the design ideas and analysis methods are provided for the energy management of a hybrid electric aircraft.