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A High-Precision Simulation Model of a PEMFC System for Key Component Selection and Performance Prediction National Center of Technology Innovation for Fuel Cell
- Format:
- Book
- Conference/Event
- Author/Creator:
- Yu, Peiwen, author.
- Conference Name:
- SAE 2024 Vehicle Powertrain Diversification Technology Forum (2024-12-06 : Xi'An, China)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- The selection of the key components of proton exchange membrane fuel cell (PEMFC) crucially impacts the performance. This work developed a model of the fuel cell system model to simulate the power consumption of component and system and the temperature dynamic response of stack in real systems. A PEMFC simulation model was developed based on AMESim, encompassing the air supply subsystem, hydrogen supply subsystem, and the hydrothermal management subsystem. The parameters for the flow and pressure of hydrogen, air, and water were established based on the operational requirements to ensure efficient stack performance. Furthermore, a PID control model was employed to regulate the flow and pressure parameters of hydrogen, air, and water, in accordance with the operational requirements, to ensure optimal PEMFC system performance.The purpose of this study is to predict the power consumption of the key components and the overall system, as well as to analyze the compliance with fuel supply, oxidant delivery, and reactor cooling requirements, thereby validating the suitability of the selected key components.For a 40 kW PEMFC system, the suitability of the component selection was validated by comparing the simulation outcomes against empirical data, yielding a mean absolute percentage error (MAPE) below 0.64%. This indicates that the model can be used to predict the output performance of the fuel cell under different conditions and has significant instructive value. The main contents of the paper are as follows:
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-01-7087
- Access Restriction:
- Restricted for use by site license
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