Optimizing the Purging Interval of 1 kW PEM Fuel Cell Control System in Fuel Cell Vehicles

This study was conducted to explore and understand the duration of purging in fuel cell control systems and their application in fuel cell vehicles, a critical aspect that has a significant impact on the overall performance and efficiency of vehicles or devices that use fuel cell technology. The method adopted in this research involves modeling and simulation using a simulation platform, SIMULINK-MATLAB; modeling is carried out with a program and then validated with test data. This approach allows researchers to replicate and analyze system dynamics virtually to identify existing systems so that empirical models can be identified. Apart from that, the performance characteristics of the given parameters can be known by knowing the model and simulation before the physical implementation is carried out. From the study results, it was found that the modeling carried out with transfer function model 0.02635 s + 1.036/s + 0.04359 and validated with the test results 87.19% fit to estimation data was quite valid so that the model identification could be said to be suitable for this study.

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Publication Details

Journal
Indonesian Journal of Energy
Published
2024-08-29
DOI
https://doi.org/10.33116/ije.v7i2.210
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
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article

Optimizing the Purging Interval of 1 kW PEM Fuel Cell Control System in Fuel Cell Vehicles

Kontan Tarigan, Andi Firdaus Sudarma, Deni Shidqi Khaerudini, Raden Dwi Pudjisusilo et al.
Indonesian Journal of Energy
Fuel Cells and Related Materials
article

Optimizing the Purging Interval of 1 kW PEM Fuel Cell Control System in Fuel Cell Vehicles

Kontan Tarigan, Andi Firdaus Sudarma, Deni Shidqi Khaerudini, Raden Dwi Pudjisusilo, Kurniawan Kurniawan
article en

Abstract

This study was conducted to explore and understand the duration of purging in fuel cell control systems and their application in fuel cell vehicles, a critical aspect that has a significant impact on the overall performance and efficiency of vehicles or devices that use fuel cell technology. The method adopted in this research involves modeling and simulation using a simulation platform, SIMULINK-MATLAB; modeling is carried out with a program and then validated with test data. This approach allows researchers to replicate and analyze system dynamics virtually to identify existing systems so that empirical models can be identified. Apart from that, the performance characteristics of the given parameters can be known by knowing the model and simulation before the physical implementation is carried out. From the study results, it was found that the modeling carried out with transfer function model 0.02635 s + 1.036/s + 0.04359 and validated with the test results 87.19% fit to estimation data was quite valid so that the model identification could be said to be suitable for this study.

Indonesian Journal of EnergyVol. 7(2)
Mercu Buana University (ID)
Affordable and clean energy
Openalex Percentile: Top 88%
Fuel Cells and Related Materials
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