LAPSE:2023.20183v1
Published Article

LAPSE:2023.20183v1
Anode Nitrogen Concentration Estimation Based on Voltage Variation Characteristics for Proton Exchange Membrane Fuel Cell Stacks
March 17, 2023
Abstract
Hydrogen energy has become an important way to solve energy crises owing to its non-pollution, high level of efficiency, and wide application. Proton exchange membrane fuel cells (PEMFCs) have received wide attention as an energy conversion device for hydrogen energy. The hydrogen concentration in the PEMFC anode directly determines the output voltage of the stack. The performance of the PEMFC gradually decreases due to the accumulation of nitrogen. However, the continuous circulation of anode gas and the nitrogen accumulation at the anode due to transmembrane diffusion lead to difficulties in estimating the anode gas concentration. The relationship between anode nitrogen concentration and voltage variation characteristics was studied by increasing the anode hydrogen concentration through the method of increasing nitrogen concentration and conducting experiments on a 16-cell stack. In this paper, an estimation method for nitrogen concentration in the anode is proposed to evaluate the nitrogen concentration in the anode on the basis of voltage variation characteristics, and the method was recalibrated and validated using experimental data. Due to the inhomogeneity of the gas distribution within the PEMFC stack, the mean cell voltage can provide a more accurate estimation of the anode nitrogen concentration compared to a single cell voltage. It is shown that the proposed approach can offer a new method to estimate anode nitrogen concentration. Compared with the conventional method, the new method is simpler as it does not require additional equipment or complex algorithms. In this paper, the anode nitrogen concentration was estimated by applying this method with a maximum error of only 0.35%.
Hydrogen energy has become an important way to solve energy crises owing to its non-pollution, high level of efficiency, and wide application. Proton exchange membrane fuel cells (PEMFCs) have received wide attention as an energy conversion device for hydrogen energy. The hydrogen concentration in the PEMFC anode directly determines the output voltage of the stack. The performance of the PEMFC gradually decreases due to the accumulation of nitrogen. However, the continuous circulation of anode gas and the nitrogen accumulation at the anode due to transmembrane diffusion lead to difficulties in estimating the anode gas concentration. The relationship between anode nitrogen concentration and voltage variation characteristics was studied by increasing the anode hydrogen concentration through the method of increasing nitrogen concentration and conducting experiments on a 16-cell stack. In this paper, an estimation method for nitrogen concentration in the anode is proposed to evaluate the nitrogen concentration in the anode on the basis of voltage variation characteristics, and the method was recalibrated and validated using experimental data. Due to the inhomogeneity of the gas distribution within the PEMFC stack, the mean cell voltage can provide a more accurate estimation of the anode nitrogen concentration compared to a single cell voltage. It is shown that the proposed approach can offer a new method to estimate anode nitrogen concentration. Compared with the conventional method, the new method is simpler as it does not require additional equipment or complex algorithms. In this paper, the anode nitrogen concentration was estimated by applying this method with a maximum error of only 0.35%.
Record ID
Keywords
anode nitrogen concentration, estimation, fuel cell stack, performance degradation, voltage variation characteristics
Subject
Suggested Citation
Guo R, Chen D, Li Y, Wu W, Hu S, Xu X. Anode Nitrogen Concentration Estimation Based on Voltage Variation Characteristics for Proton Exchange Membrane Fuel Cell Stacks. (2023). LAPSE:2023.20183v1
Author Affiliations
Guo R: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Chen D: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China; State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China
Li Y: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China [ORCID]
Wu W: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Hu S: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China [ORCID]
Xu X: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Chen D: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China; State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China
Li Y: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China [ORCID]
Wu W: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Hu S: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China [ORCID]
Xu X: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Journal Name
Energies
Volume
16
Issue
5
First Page
2111
Year
2023
Publication Date
2023-02-22
ISSN
1996-1073
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Original Submission
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PII: en16052111, Publication Type: Journal Article
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LAPSE:2023.20183v1
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https://doi.org/10.3390/en16052111
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Mar 17, 2023
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