| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1280263 | International Journal of Hydrogen Energy | 2010 | 8 Pages |
Abstract
To improve the fuel efficiency and total exergetic efficiency of a non-isothermal direct methanol fuel cell (DMFC) system, the multi-objective optimization problem is addressed in this article. Under incommensurable multiple goals, the fuzzy inference with two-phase procedures is applied for finding the locally Pareto-optimal solution. Through an iterative optimization programming, a piecewise optimal control action is effectively generated at each time period. Finally, the optimal operating manner by manipulating anode inlet temperature is successfully demonstrated by the dynamic simulation.
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Authors
W. Wu, Y.-T. Lin,