Integrated Modeling and Optimization of Hybrid-Electric Aircraft Power and Thermal Management Systems
Open Access
Author:
Iezzi, Andrew
Graduate Program:
Mechanical Engineering
Degree:
Master of Science
Document Type:
Master Thesis
Date of Defense:
June 21, 2022
Committee Members:
Daniel Connell Haworth, Program Head/Chair Herschel C Pangborn, Thesis Advisor/Co-Advisor Stephen P Lynch, Committee Member
Keywords:
graph-based modeling dynamic optimization optimal control hybrid-electric aircraft
Abstract:
This thesis proposes a multi-disciplinary optimization framework for the design of aircraft
electro-thermal energy systems. In this framework, components are modeled using
a method called graph-based modeling. Graph-based modeling utilizes the principle
of transient conservation of energy to model the states of a control volume. With
this modeling structure, an energy system’s state equations can be expressed in terms
of transient conservation of energy and these equations can be combined into a set
of compact matrix equations. This compact representation of energy systems allows
multiple energy domains to be coupled and simulated together with one set of modeling
equations. Graph-based modeling also allows easy access to the network structure of
the system. This modeling approach is employed within an optimal control formulation
to optimize both system-level design parameters and open-loop control trajectories. In
total, this framework will allow for multi-disciplinary modeling and design of aircraft
energy systems. Case studies for a series hybrid-electric aircraft architecture demonstrate
how key parameters of the electrical system, such as battery capacity, can be designed
together with the associated thermal management systems for a representative transient
flight.
