A novel high-dimensional and multi-physics modeling approach of proton exchange membrane fuel cell for real-time simulation

Wanlin He, Zhuang Tian, Qifan Wang, Xianghao Hou, Jianbo Zhou, Daming Zhou, Yixin Yang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Fuel cell model provides state observation and quantitative analysis for Hardware-In-the-Loop (HIL) test platform. For a high-dimensional multi-physics model, the observed distribution of physical properties is meaningful for fuel cell stack optimization, manufacturing process and model-based control development. However, traditional modeling approach is difficult to consider both the calculation accuracy and efficiency. To solve this problem, this paper proposes a high-dimensional multi-physics real-time modeling approach for fuel cells based on partial differential equations (PDEs)-tridiagonal matrix equation transformation (TMET) and symmetric successive overrelaxation (SSOR) algorithm. In the proposed method, a generalized framework of TMET and a novel staggered grid technique is developed. In this case, both the convection and diffusion phenomena can be accurately described. For different fuel cells or parameters change, supplementary model modification or development is not required, only the global variables need to be re-assigned. Moreover, SSOR with bi-directional iteration mechanism is used to increase the probability of computational convergence and thus improve the calculation efficiency. Compared with commercial COMSOL model, by using the proposed modeling approach, the mean absolute percentage error (MAPE) of the simulated polarization output characteristics is 1.77%, the MAPE of different distribution characteristics can remain within 10%, and the calculation time can be shortened from hours even days to seconds.

Original languageEnglish
Article number116988
JournalEnergy Conversion and Management
Volume286
DOIs
StatePublished - 15 Jun 2023

Keywords

  • Fuel cell
  • Real-time modeling approach
  • Symmetric successive overrelaxation (SSOR)
  • Tridiagonal matrix equation transformation (TMET)

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