• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 57 Issue 4
Jul.  2022
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Article Contents
LIANG Jianying, CHEN Weirong. Power Distribution Method of Multi-Stack Fuel Cell System Based on Forgetting Factor Recursive Least Square[J]. Journal of Southwest Jiaotong University, 2022, 57(4): 722-728, 782. doi: 10.3969/j.issn.0258-2724.20200795
Citation: LIANG Jianying, CHEN Weirong. Power Distribution Method of Multi-Stack Fuel Cell System Based on Forgetting Factor Recursive Least Square[J]. Journal of Southwest Jiaotong University, 2022, 57(4): 722-728, 782. doi: 10.3969/j.issn.0258-2724.20200795

Power Distribution Method of Multi-Stack Fuel Cell System Based on Forgetting Factor Recursive Least Square

doi: 10.3969/j.issn.0258-2724.20200795
  • Received Date: 20 Nov 2020
  • Rev Recd Date: 21 Mar 2021
  • Publish Date: 14 May 2021
  • In order to reduce the large-scale variation in the output power of the single fuel cell during the operation of the multi-stack fuel cell system (MFCS), improve the average efficiency of the MFCS and ensure the long-term stable operation of each fuel cell, based on the forgetting factor recursive least squares (FFRLS), an improved chain power distribution method with online identification is proposed for the high-power proton exchange membrane fuel cell system. This method uses the real-time online identification capability of the FFRLS algorithm to estimate the maximum efficiency range (MER) of each fuel cell in operation, and uses its boundary value as the constraint reference value to update the limited range of chain power in real time. Then the output of each stack is distributed according to the load demand power change and the order of fuel cell efficiency. Finally, on the semi-physical platform RT-LAB, compared with the average and traditional chain power distribution methods, the proposed method improves the efficiency of MFCS by 0.93% and 1.95% respectively.

     

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