Investigation of the operational flexibility of a regional hybrid-electric aircraft

Abstract

The complexity of hybrid-electric aircraft propulsion systems is also characterized by the greater number of degrees of freedom of the energy management system, whose objective is to split the required power to fly the aircraft to the different available powertrains (i.e., gas turbines, electric motors, fuel cells, etc.). Typically, a single design mission is considered for assessing the performance of a hybrid-electric propulsion system, often with a simple constant split power between the batteries and gas turbine. A probabilistic set-based design space exploration methodology is used and allows us to study the effects of lifecycle analysis of the battery pack of a hybrid-electric 50-seater turboprop, while different mission scenarios are considered. Using this approach, it is possible to flexibly find multiple families of energy management strategies that can satisfy battery capacity requirements and the reduction of emissions simultaneously. Furthermore, the generated data can help the designers to understand the hierarchy of the requirements that drive the design of the propulsion system for a range of operating scenarios, with emphasis on the energy storage system. Hence, the airliners are offered enhanced operational flexibility of the aircraft for different and desirable mission profiles.

PDOPT: A Python library for Probabilistic Design space exploration and OPTimisation

“…It has been developed within the FutPrint50 project (FutPrInt50, 2020) and released as open-source software under the MIT license. The software has been used in several scientific publications regarding the design of hybrid-electric aircraft , and the effects of operating conditions (Spinelli, Krupa, Kipouros, Berseneff, et al, 2023) and technological uncertainty on the design.…”