TY - GEN
T1 - 20x-Real time modeling and simulation of more electric aircraft thermally integrated electrical power systems
AU - Cao, Yue
AU - Williams, Matthew A.
AU - Kearbey, Bradford J.
AU - Smith, Andrew T.
AU - Krein, Philip T.
AU - Alleyne, Andrew G.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - More electric aircraft (MEA) include higher power ratings and more power electronics than conventional aircraft. With electrification comes increased multi-physical interaction between power systems, especially in electrical and thermal domains. It is desirable to develop an accurate and fast systemlevel model that captures the dynamics of multiple energy domains over the course of candidate mission profiles, for the purpose of trade-off studies, prototyping, and controller development. This paper presents comprehensive electrical power component models that are capable of being assembled into full electrical system models. Steady-state and dynamic behaviors of electrical components including electric machines, power converters, batteries, transformers, and loads are captured by averaged switching modeling and dq0 reference frame techniques, without sacrificing computational speed. An integrated thermal model within electrical components uses power loss calculations to model temperature variations and identify system hot spots. Monte Carlo simulation trials on a five-hour realistic mission establish the capability of the electrical system models while demonstrating a 50× real-time simulation speed for a standalone electric subsystem and 20× for a coupled electrical, thermal, and engine MEA model.
AB - More electric aircraft (MEA) include higher power ratings and more power electronics than conventional aircraft. With electrification comes increased multi-physical interaction between power systems, especially in electrical and thermal domains. It is desirable to develop an accurate and fast systemlevel model that captures the dynamics of multiple energy domains over the course of candidate mission profiles, for the purpose of trade-off studies, prototyping, and controller development. This paper presents comprehensive electrical power component models that are capable of being assembled into full electrical system models. Steady-state and dynamic behaviors of electrical components including electric machines, power converters, batteries, transformers, and loads are captured by averaged switching modeling and dq0 reference frame techniques, without sacrificing computational speed. An integrated thermal model within electrical components uses power loss calculations to model temperature variations and identify system hot spots. Monte Carlo simulation trials on a five-hour realistic mission establish the capability of the electrical system models while demonstrating a 50× real-time simulation speed for a standalone electric subsystem and 20× for a coupled electrical, thermal, and engine MEA model.
KW - electric machines
KW - generators
KW - loss modeling
KW - modeling and simulation
KW - more electric aircraft (MEA)
KW - power electronics
KW - power systems
KW - thermal modeling
UR - http://www.scopus.com/inward/record.url?scp=85015403756&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015403756&partnerID=8YFLogxK
U2 - 10.1109/ESARS-ITEC.2016.7841416
DO - 10.1109/ESARS-ITEC.2016.7841416
M3 - Conference contribution
AN - SCOPUS:85015403756
T3 - 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016
BT - 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016
Y2 - 2 November 2016 through 4 November 2016
ER -