200W PEM Fuel Cell Stack with Online Model-Based Monitoring System

Khanungkhid, Pittaya; Piumsomboon, Pornpote

doi:10.4186/ej.2014.18.4.13

Cited by 8 publications

(6 citation statements)

References 21 publications

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“…where V OC is the open circuit voltage (0.95 V in this case); R Ω j 0 is the ohmic loss resulting from the ionic resistance in the electrolyte, the electrodes, the electronic resistance of the electrodes, collectors and the contact resistance; η 0 is the total voltage loss in the cathode catalyst layer (CCL) and are represented by the following expression [37][38][39][40]:…”

Section: Fuel Cell Modelmentioning

confidence: 99%

Design and Simulation of a Powertrain System for a Fuel Cell Extended Range Electric Golf Car

et al. 2018

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This article analyses the energy behaviour of an electric golf car as the penultimate step to developing a fuel cell electric light-duty vehicle. The configuration used is that of an extended range electric vehicle with a fuel cell (FCEREV). The system includes two energy storage sources to drive the powertrain: the first consists of using energy stored in a lead-acid battery pack and the second consists of hydrogen stored in metal hydrides and its use is based on a 200 W polymer electrolyte membrane (PEM) type fuel cell. The type of system also allows charging the vehicle by connecting it to the electrical grid. The aim of the proposed design is to extend the autonomy of the golf car allowing it to make several trips in one day without having to charge it by connecting it to the electrical grid, considering the large amount of time this would take. The analysis of the performance has been set based on the current regulation and is therefore within the range for these types of vehicles. This arrangement extends autonomy by 38% as opposed to the pure EV electrical mode, which allows for making at least two more trips with a hydrogen tank filled with 0.085 kg H 2 .

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Section: Fuel Cell Modelmentioning

confidence: 99%

Design and Simulation of a Powertrain System for a Fuel Cell Extended Range Electric Golf Car

et al. 2018

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“…However, λ cannot be used in the fault diagnosis study because this parameter is not readily available in commercial fuel cells. Furthermore, the PEMFC undergoes drying condition when the water content in the membrane λ drops below 4 [6].…”

Section: Dryingmentioning

confidence: 99%

The Use of LMS AMESim in the Fault Diagnosis of a Commercial PEM Fuel Cell System

Salim¹,

Noura²,

Fardoun³

2018

Adv. sci. technol. eng. syst. j.

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The world's pollution rates have been increasing exponentially due to the many reckless lifestyle practices of human beings as well as their choices of contaminating power sources. Eventually, this lead to a worldwide awareness on the risks of those power sources, and in turn, a movement towards the exploration and deployment of several green technologies emerged. Proton Exchange Membrane Fuel cells (PEMFCs) are one of those green technologies. However, in order to be able to successfully and efficiently deploy PEMFC systems, a solid fault diagnosis scheme is needed. The development of accurate model based fault diagnosis schemes has been imposing a lot of challenge and difficulty on researchers due to the high complexity of the PEMFC system. Furthermore, confidentiality issues with the manufacturer can also impose further constraints on the model development of a commercial PEMFC system. In this work, an approach to develop an accurate PEMFC system model despite the lack of crucial system information is presented through the use of Siemens LMS AMESim software. The developed model is then used to develop a fault diagnosis scheme that is able to detect and isolate five system faults.

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“…Hsieh and Huang [ 60 ] developed NI LabVIEW programs to control experiments and generate polarization curves of a planar array micro fuel cell stack. In [ 61 ] a monitoring system based on NI LabVIEW was applied to acquire a 200 W stack voltage and other parameters to feed a PEFC model. Moçotéguy et al [ 62 ] studied the influence of ageing on PEFC stacks with a NI LabVIEW program to monitor the processes.…”

Section: A Brief Review Of Daq/scada Architecturesmentioning

confidence: 99%

A New, Scalable and Low Cost Multi-Channel Monitoring System for Polymer Electrolyte Fuel Cells

Martín

González

Calderón

et al. 2016

Sensors

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In this work a new, scalable and low cost multi-channel monitoring system for Polymer Electrolyte Fuel Cells (PEFCs) has been designed, constructed and experimentally validated. This developed monitoring system performs non-intrusive voltage measurement of each individual cell of a PEFC stack and it is scalable, in the sense that it is capable to carry out measurements in stacks from 1 to 120 cells (from watts to kilowatts). The developed system comprises two main subsystems: hardware devoted to data acquisition (DAQ) and software devoted to real-time monitoring. The DAQ subsystem is based on the low-cost open-source platform Arduino and the real-time monitoring subsystem has been developed using the high-level graphical language NI LabVIEW. Such integration can be considered a novelty in scientific literature for PEFC monitoring systems. An original amplifying and multiplexing board has been designed to increase the Arduino input port availability. Data storage and real-time monitoring have been performed with an easy-to-use interface. Graphical and numerical visualization allows a continuous tracking of cell voltage. Scalability, flexibility, easy-to-use, versatility and low cost are the main features of the proposed approach. The system is described and experimental results are presented. These results demonstrate its suitability to monitor the voltage in a PEFC at cell level.

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200W PEM Fuel Cell Stack with Online Model-Based Monitoring System

Cited by 8 publications

References 21 publications

Design and Simulation of a Powertrain System for a Fuel Cell Extended Range Electric Golf Car

Design and Simulation of a Powertrain System for a Fuel Cell Extended Range Electric Golf Car

The Use of LMS AMESim in the Fault Diagnosis of a Commercial PEM Fuel Cell System

A New, Scalable and Low Cost Multi-Channel Monitoring System for Polymer Electrolyte Fuel Cells

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