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Development of Black-Box Model and Fault Tolerant Control of Polymer Electrolyte Membrane Fuel Cell Based on Experimental Data

Khanafari, Ali | 2022

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 55671 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Alasty, Aria; Kermani, Mohammad Jafar; Asghari, Saeed
  7. Abstract:
  8. Today, the world is facing the limited resources of fossil fuels and the pollution caused by them. One of the best alternatives that can be offered to fossil fuels is the use of hydrogen in fuel cell technology. Polymer electrolyte membrane fuel cell is one of the types of fuel cell that has a significant advantage over other types of fuel cell in terms of low working temperature and high performance speed. In order to become more widespread, the fuel cell must be freed from the two problems of uncertainty and short life. These two factors can be improved by using a condition monitoring system in both stationary and transportation applications. By using continuous status monitoring and error detection and system control based on it, you can expect the optimal performance of the system and its longer life. In the current doctoral research, measuring the pressure drop in the cathode and the anode along with the stack output voltage and comparing it with the black box model, the same parameters in healthy conditions, the solution to identify the two defects of flooding and dehydration are introduced; which include more than half of the defects related to the polymer membrane fuel cell. By measuring these two faults simultaneously with the performance, in case of a fault and the system moves towards the faulty state, controlling the flow rate of the reactants and controlling the temperature of the stack using fuzzy logic are suggested as a solution to avoid being in a faulty state. In the end, it can be seen that the proposed method is very efficient in improving the faulty conditions and effectively prevents the worsening of the cell engagement situation
  9. Keywords:
  10. Flooding ; Dehydration ; Control ; Pressure Drop ; Black Box Model ; Adaptive Neuro Controller ; Stack ; Proton Exchange Membrane (PEM)Fuel Cell

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