Abstract
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.
Highlights
Severe efforts and real compromises are taking place in order to reduce both fossil fuel dependence and greenhouse effect emissions
Connectivity [42], cyber security [43], cloud data storage [44], smart metering infrastructure [45,46], Regarding data acquisition (DAQ) choice, it is relevant to state that different open-source microcontrollers internet of things [47] and machine-to-machine communication (M2M) [48]
The rest ofitthe architecture unchanged the wiring); it is only a matter wiring); is only a matter remains of programming from(except the real-time monitoring subsystem hosted in the of programming from the the real-time monitoring subsystem hosted in monitoring the PC
Summary
Severe efforts and real compromises are taking place in order to reduce both fossil fuel dependence and greenhouse effect emissions. The capability towards an energetic system based on decentralized generation Authors emphasize that these of monitoring everything from power plants to consumer preferences is one of the main characteristics systems have to be designed to act as the core of smart grids (SGs), the grid of the future. The most illustrative examples are Regarding DAQ choice, it is relevant to state that different open-source microcontrollers and Arduino [49], RaspberryPi [50], Intel Edison [51] and openDAQ [52] These devices provide easy-to-use microprocessor platforms have arisen during last years. Arduino is a low-cost single-board microcontroller which acts as open-source different applications in the fields of data acquisition, automation and engineering in general. In recent years, this device has become a versatile and powerful tool to develop different applications in the fields of data acquisition, automation and engineering in general. A SCADA solution has been developed via a NI USB DAQ and NI LabVIEW [64]
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