Personal Homepage

Personal Information

MORE+



Supervisor of Master's Candidates

E-Mail:

Date of Employment:2024-09-05

School/Department:Hangzhou International Innovation Institute

Business Address:Hangzhou international campus, R3 2112

Gender:Male

Status:Employed

Alma Mater:Beihang University

Discipline:Aeronautical and Astronautical Science and Technology
Control Science and Engineering
Transportation Engineering

WANG Mingkai

+

Gender:Male

Alma Mater:Beihang University

Paper

Current position: Home / Paper
Operational Availability Analysis of Short-Haul Electric Aeroplane Using Polynomial Chaos Expansion

Impact Factor:3.3
DOI number:10.1080/21680566.2021.1991506
Journal:Transportmetrica B: Transport Dynamics
Key Words:Electric aircraft, Operational availability, Trajectory optimisation, Polynomial chaos expansion
Abstract:As a promising solution to green and sustainable aviation, electric aircraft is likely to operate only in short-haul flight routes due to the technical bottleneck of batteries. This paper proposes an efficient methodology of operational availability analysis for electric aeroplane design. A comprehensive framework using trajectory optimisation is built to evaluate the electric aeroplane performance, which integrates the constraints from physical characteristics, airworthiness regulations, and safety requirement. To account for varying environmental conditions, the polynomial chaos expansion (PCE) method is introduced to enable efficient uncertainty analysis. The proposed methodology is applied to a small short-haul electric aeroplane case. The result shows that the performance of electric aeroplane can be predicted accurately by the PCE method with significant reduction of computational effort. The exemplary analysis in Nordic area provides useful information of operational availability subject to environmental uncertainties.
Indexed by:Journal paper
First-Level Discipline:Transportation Engineering
Document Type:J
Volume:10
Issue:1
Page Number:988–1009
Translation or Not:no
Date of Publication:2022-10-01
Included Journals:SCI
Links to published journals:https://www.tandfonline.com/doi/full/10.1080/21680566.2021.1991506