• DocumentCode
    20519
  • Title

    Net Power Control Based on Linear Matrix Inequality for Proton Exchange Membrane Fuel Cell System

  • Author

    Qi Li ; Weirong Chen ; Zhixiang Liu ; Jin Huang ; Lei Ma

  • Author_Institution
    Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China
  • Volume
    29
  • Issue
    1
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    An analysis for net power characterization of a proton exchange membrane fuel cell (PEMFC) system is developed with Ballard 1.2-kW Nexa power module. A net power control (NPC) strategy based on the linear matrix inequality (LMI) approach is proposed to achieve optimal oxygen excess ratio (OER). The H∞ suboptimal control problem is solved by LMI and the simulations are carried out under different conditional tests. The results verify that the proposed strategy can track the optimal OER trajectory and reduce the parasitic power as the running process of electrical vehicle is simulated. The comparisons testify that the NPC has better robust performance and less settling time in the presence of large disturbances and environmental noises. Therefore, the proposed strategy will provide a novel approach to increase the net power for the PEMFC system.
  • Keywords
    H control; control system synthesis; linear matrix inequalities; power control; proton exchange membrane fuel cells; H suboptimal control problem; PEMFC; electrical vehicle; environmental noise; linear matrix inequality; net power control; optimal OER trajectory; optimal oxygen excess ratio; parasitic power; power 1.2 kW; power module; proton exchange membrane fuel cell system; Cathodes; Fuel cells; Linear matrix inequalities; Mathematical model; Power control; Protons; Sensitivity; $H_infty$ mixed sensitivity problem; linear matrix inequality (LMI); net power control (NPC); optimal oxygen excess ratio (OER) trajectory; proton exchange membrane fuel cell (PEMFC);
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2013.2292954
  • Filename
    6680790