The impedance based fuzzy logic control for the cathode air flow of a direct methanol fuel cell system

Shu Han Yang, Wen June Wang, Charn Ying Chen, Chao Hsing Hsu, Pao Hua Chou

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this study, a control strategy for direct methanol fuel cell (DMFC) systems is presented. By utilizing the specific impedance measurement, high frequency resistance (HFR) and charge transfer resistance (CTR), as the linguistic variable, this control strategy, based on the fuzzy logic, can distinguish the humidification conditions in a stack. Thus, with the efficient computation of the fuzzy controller, the stoichiometric flow for the air supply of the DMFC is varied to prevent the performance drops caused by flooding and drying. It is sufficient to assist the stack in reacting at an optimal operating state. Furthermore, this methodology reduces the measuring time of impedance and can real-time control the behaviors of a practical DMFC system. Although the influences of operating temperature on the state of system are not accounted, this fuzzy controller has the adaptability to run even if the stack is operated at various temperatures. ICIC International

Original languageEnglish
Pages (from-to)625-635
Number of pages11
JournalInternational Journal of Innovative Computing, Information and Control
Volume7
Issue number2
StatePublished - Feb 2011

Keywords

  • Charge transfer resistance (CTR)
  • Direct methanol fuel cell (DMFC)
  • Fuzzy logic
  • High frequency resistance (HFR)

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