Thesis
Quasi-steady-state modeling and control of a fuel cell/battery hybrid system for residential application
Washington State University
Master of Science (MS), Washington State University
2009
Handle:
https://hdl.handle.net/2376/103928
Abstract
The aim of this thesis is modeling and control of a fuel cell/battery hybrid system for residential application. In this thesis, MATLAB® and Simulink® have been used to produce a comprehensive dynamic system model giving in-depth information on a 5 kW fuel cell/battery hybrid power supply operating isolated from the main electric power grid. Sub-system blocks include fuel cell, fuel reformer, DC/DC booster, lead acid battery and a sinusoidal pulse width modulation DC/AC inverter with associated control and integration. A supervisory power controller based on a fuzzy logic algorithm was designed to determine the fuel cell output power in terms of the average active load power requirement and estimated battery state of charge (SOC) using the extended kalman filter (EKF) method. Simulation results with typical waveforms show that the integrated model with control is able to operate the fuel cell near maximum power points and keep the SOC of the battery within a prescribed range. Complicating factors in the simulation include the extended computation time due to power electronic devices.
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Details
- Title
- Quasi-steady-state modeling and control of a fuel cell/battery hybrid system for residential application
- Creators
- Zhi Yang
- Contributors
- Patrick D. Pedrow (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; Pullman, Wash. :
- Identifiers
- 99900525111001842
- Language
- English
- Resource Type
- Thesis