Hydrogen Leakage Diagnosis for Proton Exchange Membrane Fuel Cell Systems: Methods and Suggestions on Its Application in Fuel Cell Vehicles

Tian, Ying; Zou, Qiang; Lin, Zezhao

doi:10.1109/access.2020.3044362

Cited by 24 publications

(16 citation statements)

References 103 publications

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“…These unique designs reduce greenhouse gases from internal combustion, diesel, or gasoline cars. Consequently, cars with alternative propulsion systems are beginning to emerge, besides hydrogen vehicles [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

Design of the electric propulsion system for dumper trucks

Lourido

Ocampo

Chipiaje

et al. 2023

IJECE

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This article designs a high-efficiency electric propulsion system for industrial trucks, such as dumper trucks. This design proposes using an alternative energy storage system of green H<sub>2</sub> hydrogen to reduce emissions. This design determines the propulsion systems' technical and power requirements, starting with each vehicle's driving and duty cycles. For this analysis, a longitudinal dynamic model is created, with which the behavior of the energy conversion chain of the propulsion system is established. The evolutionary methodology analyzes the dynamic forces of vehicle interaction to size the propulsion system's components and the storage system. Using green H<sub>2</sub> as fuel allows an energy yield three times higher than diesel. In addition, using this green hydrogen prevents the emission of 264,172 kg of CO₂, which the dumper emits when consuming 1,000 daily gallons of diesel within its working day.

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Section: Introductionmentioning

confidence: 99%

Design of the electric propulsion system for dumper trucks

Lourido

Ocampo

Chipiaje

et al. 2023

IJECE

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show abstract

“…The approaches to diagnosing faults are divided into two groups. One group is model‐based methods, 6 which depend upon the mathematical model that describes the physical processes. The other group is non‐model methods, which rely on a large quantity of data of typical system variables, such as data‐driven method 7‐10 and artificial neural networks method 11,12 .…”

Section: Introductionmentioning

confidence: 99%

Optimized model‐based diagnosis approach for hydrogen leakage in hydrogen supply system of fuel cell truck

Liu

2022

Intl J of Energy Research

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Summary The hydrogen leakage in hydrogen supply system of fuel cell vehicles is a critical issue that leads to energy loss or even safety accidents. A quick and accurate diagnosis of hydrogen leakage is essential to suppress further leakage. Therefore, an optimized model‐based diagnosis approach is proposed to diagnose the hydrogen leakage in hydrogen supply system of fuel cell truck. The simulation model of hydrogen leakage is established. Two novel leakage features are proposed and then trained and tested by applying support vector machines (SVMs) to classify different hydrogen leakage levels. Genetic algorithm (GA) is used to improve the performance of hydrogen leakage detection method in terms of accuracy. The results show that the proposed hydrogen leakage diagnosis method can effectively diagnose different hydrogen leakage levels. Especially for small hydrogen leakage, the proposed approach also shows enough effectiveness. Moreover, the proposed diagnosis method can detect hydrogen leakage both under parking state and continuously changing driving conditions. The proposed diagnosis method has good practicability and can guide the design of alarm system, which is important to save hydrogen energy and improve the reliability of the system.

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“…Using fuel cell to generate electricity is one of the new energy technologies, whose power generation process will not disturb the environment [5]. Fuel cell is a promising device because it is efficient, modular and can be placed anywhere to improve system efficiency [6].…”

Section: Introductionmentioning

confidence: 99%