Enhancing heat pump efficiency using extremum seeking control: A MATLAB SimScape-based study
Jahedan, Reihaneh
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Permalink
https://hdl.handle.net/2142/129773
Description
Title
Enhancing heat pump efficiency using extremum seeking control: A MATLAB SimScape-based study
Author(s)
Jahedan, Reihaneh
Issue Date
2025-05-07
Director of Research (if dissertation) or Advisor (if thesis)
Miljkovic, Nenad
Committee Member(s)
Allison, James
Department of Study
Mechanical Sci & Engineering
Discipline
Mechanical Engineering
Degree Granting Institution
University of Illinois Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Heat Pump, Extremum Seeking Control
Abstract
This thesis investigates the use of Extremum Seeking Control (ESC) to enhance the efficiency of battery powered heat pump systems used in vehicles. Vehicle heat pumps, which commonly use vapor-compression cycles, play a crucial role in maintaining cabin comfort and passenger satisfaction, particularly in electric vehicles where energy efficiency directly impacts vehicle range. To optimize heat pump efficiency without requiring a detailed system model, classical ESC and Adaptive ESC (ESCAP) were implemented to control the condenser and evaporator fan speeds. A comprehensive heat pump model was developed using MATLAB SimScape to simulate realistic cabin heating scenarios in winter. Simulations were performed under both constant and time-varying ambient temperature conditions to evaluate control effectiveness and robustness. The results demonstrated up to a 45% improvement in the coefficient of performance (COP) when ESC methods were applied to control condenser fan speed. However, control of the evaporator fan speed did not achieve smooth convergence to an optimum point, suggesting potential limitations in the simulation model.
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