Modeling of Fuel Cell Stack for High-Speed Computation and Implementation to Integrated System Model

Abstract

Modeling methods for high-speed computation of fuel cell mass transport and polarization are investigated. To ensure dynamic numerical simulation of life-long system operation in permissible calculation time and accuracy. Physical and empirical models of mass transfer, heat transfer, and electrochemistry in fuel cell stack with proper resolution are developed and integrated. This model is validated and verified by the experimental data collected with commercial fuel cell system of 2nd-generation MIRAI, a fuel cell electric vehicle (FCEV) in a variety of operating conditions, such as low to high loads, operating temperatures, and total pressures.