• 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
LI Qi, LIU Qiang, LI Yankun, WANG Tianhong. Multi-Stack Adaptive Power Allocation Method Considering Fuel Cell Aging[J]. Journal of Southwest Jiaotong University, 2022, 57(4): 713-721. doi: 10.3969/j.issn.0258-2724.20200718
Citation: LI Qi, LIU Qiang, LI Yankun, WANG Tianhong. Multi-Stack Adaptive Power Allocation Method Considering Fuel Cell Aging[J]. Journal of Southwest Jiaotong University, 2022, 57(4): 713-721. doi: 10.3969/j.issn.0258-2724.20200718

Multi-Stack Adaptive Power Allocation Method Considering Fuel Cell Aging

doi: 10.3969/j.issn.0258-2724.20200718
  • Received Date: 22 Oct 2020
  • Rev Recd Date: 18 Feb 2021
  • Publish Date: 18 Apr 2021
  • In order to extend the service life of the multi-stack fuel cell system (MFCS) and ensure that the overall degradation performance of each stack during operation gradually tends to be consistent, an MFCS adaptive power allocation method is proposed for the high-power proton exchange membrane fuel cell (PEMFC) system, which can take into account the aging of the stack. During the MFCS operation, the fuel cell output power dynamically changes according to different operating conditions, which causes the aging degree of each stack to be generally inconsistent. Therefore, the voltage degradation degree (VDD) is introduced to characterize the aging degree of the fuel cell stack during operation. In addition, a semi-empirical fuel cell model is also used to simulate the effect of aging on stack performance. Finally, a hardware-in-the-loop (HIL) test platform is built on RT-LAB. The proposed method is compared with the average and chain power allocation methods. The results show that the proposed method can coordinate the output of each fuel cell to slow down the aging rate of the stack, and reduce the hydrogen consumption of MFCS by 13.59% and 8.04% respectively.

     

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