Research of Proton Exchange Membrane Fuel Cell Modeling on Concentration Polarization under Variable-Temperature Operating Conditions
Teng Teng,
Xin Zhang (),
Qicheng Xue and
Baodi Zhang
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Teng Teng: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Xin Zhang: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Qicheng Xue: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Baodi Zhang: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Energies, 2024, vol. 17, issue 3, 1-17
Abstract:
In this study, a concentration overvoltage model that focuses on describing variable-temperature operating condition properties for PEMFCs is established. Sensitivity analysis and a quantification study of oxygen transport resistance are carried out based on the oxygen transport resistance model and measurement data. By analyzing the influence of temperature on cathode oxygen transport resistance, the key structural parameters of the cathode oxygen transport resistance models are estimated, and the parameter modification method of fuel cell limiting current density under variable temperatures is proposed. Based on the polarization curve test experiments under variable-temperature conditions, it is demonstrated that the newly developed concentration overvoltage model reduces the relative error of simulation for a low Pt loading fuel cell in the high current region by 2.97% and 10.06% at 60 °C and 80 °C, respectively. The newly established concentration overvoltage model of a PEMFC solves the problem that the parameter of limiting current density is set without considering the influence of fuel cell temperature fluctuation, which leads to the poor simulation accuracy of the concentration overvoltage model in the high current region.
Keywords: concentration overvoltage model; different temperature operating conditions; limiting current density; oxygen transport resistance; sensitivity analysis; quantification study; simulation accuracy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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