Modelling and control of proton exchange membrane fuel cell
Lu, Jun (2013) Modelling and control of proton exchange membrane fuel cell. PhD thesis, James Cook University.
|
PDF (Thesis)
Download (3MB) | Preview |
Abstract
Proton exchange membrane fuel cell (PEMFC) has been considered as one of the most promising energy sources due to its many desirable properties, including high power density, low operating temperature and fast start-up. However, significant technical challenges exist before PEMFC can be commercialized. Among them, the modelling and control of PEMFC have been recognized as the most critical technical issues. This is because PEMFC's inherent nonlinearities, time-varying characteristics and tight operating constraints inevitably give rise to great challenges for system modelling and control. The objective of this thesis is then accurate modelling and efficient control of PEMFC. To accomplish these goals, new modelling and control methods are developed and validated.
First, a new empirical model of PEMFC is developed by mapping performance outputs as a function of various operating conditions through regression analysis of support vector machine (SVM). Further, the empirical modelling approach is integrated with the mechanistic modelling method to develop a combined model of PEMFC, which consists of an empirical submodel for the reference voltage and a mechanistic submodel for the correction voltage. Simulation results demonstrate that these models have desirable properties, including good accuracy, fast response and low computational burden. These characteristics lay the solid foundation for the development of control strategies.
Then, various control strategies are developed, including model predictive control (MPC) for regulating PEMFC outputs to the desired value, extreme seeking control (ESC) for tracking the maximum efficiency point and linearized-model-based control for PEMFC thermal management. Simulation results demonstrate that each of the control strategies achieves the control objective that it is supposed to accomplish.
Finally, a full picture of future hydrogen economy in China is given, including drivers for transition to the hydrogen economy, energy resources and their potential role in future hydrogen production, government's policy and support for the research of hydrogen and fuel cell technology.
| Item ID: | 40440 |
|---|---|
| Item Type: | Thesis (PhD) |
| Keywords: | China; fuel cells; hydrogen as fuel; hydrogen economy; hydrogen; maximum efficiency point tracking; PEMFC; predictive control; proton exchange membrane fuel cells; renewable energy; renewable power; support vector machines; systems engineering; thermal models |
| Related URLs: | |
| Copyright Information: | Copyright © 2013 Jun Lu |
| Additional Information: | Publications arising from this thesis are available from the Related URLs field. The publications are: Lu, Jun, Zahedi, Ahmad, Yang, Chengshi, Wang, Mingzhou, and Peng, Bo (2013) Building the hydrogen economy in China: drivers, resources and technologies. Renewable and Sustainable Energy Reviews, 23. pp. 543-556. Lu, Jun, and Zahedi, Ahmad (2012) Constrained model predictive control of proton exchange membrane fuel cell based on a combined empirical and mechanistic model. Journal of Renewable and Sustainable Energy, 4 (5). pp. 1-15. Lu, Jun, and Zahedi, Ahmad (2012) Air supply control for maximum efficiency point tracking in fuel cell systems. Journal of Renewable and Sustainable Energy, 4 (3). pp. 1-14. |
| Date Deposited: | 01 Oct 2015 01:23 |
| FoR Codes: | 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells) @ 100% |
| SEO Codes: | 85 ENERGY > 8504 Energy Transformation > 850401 Fuel Cells (excl. Solid Oxide) @ 100% |
| Downloads: |
Total: 1440 Last 12 Months: 31 |
| More Statistics |
Actions (Repository Staff Only)
 |
Item Control Page |