The active control design for DMFC/Battery hybrid system using PIDNN

Chi Yuan Chang, Chao Hsing Hsu, Wen June Wang, Charn Ying Chen

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper presents a PID neural network (PIDNN) controller designed for a direct methanol fuel cell (DMFC)/Battery hybrid generation system,. To maximize the power produced by the DMFC stack in stable operation, high loading with batteries is employed for balancing power flow. Keeping the power produced by the DMFC stack at high efficiency with low loading prevents the problem of methanol crossover. In consideration of the characteristics of DMFC stack during actual operation, vie use a bidirectional DC/DC converter connecting the battery to the DC bus to manage the power distribution between the fuel cell and the battery. PIDNN control allows for adequate pulse-width modulation (PWM) control of the bidirectional DC/DC converter with fast response, increases the transient performance of the DMFC fuel cell system and satisfies the requirement of energy management. The active control is designed to achieve the abovementioned m,ultiple objectives. To verify the reliability and stability of the proposed control, an experiment was performed; the results show that the proposed control can efficiently achieve the m,ultiple objectives.

Original languageEnglish
Pages (from-to)2101-2112
Number of pages12
JournalInternational Journal of Innovative Computing, Information and Control
Volume8
Issue number3 B
StatePublished - Mar 2012

Keywords

  • Active hybrid control
  • Bidirectional converter
  • DMFC
  • PIDNN

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