Abstract
This work presents an open-source, dynamic, 1D, proton exchange membrane fuel cell model suitable for real-time applications. It estimates the cell voltage based on activation, ohmic and concentration overpotentials and considers water transport through the membrane by means of osmosis, diffusion and hydraulic permeation. Simplified equations reduce the computational load to make it viable for real-time analysis, quick parameter studies and usage in complex systems like complete vehicle models. Two modes of operation for use with or without reference polarization curves allow for a flexible application even without information about cell parameters. The program code is written in MATLAB and provided under the terms and conditions of the Creative Commons Attribution License (CC BY). It is designed to be used inside of a Simulink model, which allows this fuel cell model to be used in a wide variety of 1D simulation platforms by exporting the code as C/C++.
Highlights
Proton exchange membrane fuel cells (PEMFC) can contribute to achieving the goal of a sustainable energy supply and production
It is designed to be used inside of a Simulink model, which allows this fuel cell model to be used in a wide variety of 1D simulation platforms by exporting the code as C/C++
In this fuel cell model, the real cell voltage Ecell is estimated by subtracting the voltage losses is summarized estimated by as subtracting
Summary
Proton exchange membrane fuel cells (PEMFC) can contribute to achieving the goal of a sustainable energy supply and production. To account for this, simplified fuel cell models have been developed in recent history to reduce the required. Since large systems (e.g., cars or cars or trains completing a drive cycle) consist of many components, each individual model is trains completing a drive cycle) consist of many components, each individual model is required to required to be of reduced complexity in order to keep the overall simulation time low. Possible use cases for the presented model are the creation of polarization curves or the cell performance estimation under varying conditions like in a moving vehicle. Based on various inputs and physical parameters, the model estimates cell voltage as well as several other outputs in every time step.
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