A New Noise Reduction Concept for the FFT EIS Method Using the Ergodic Hypothesis for Fuel Cell Measurement

2021 ◽  
Vol 168 (1) ◽  
pp. 014502
Author(s):  
Masahiro Egami
Keyword(s):  
Fuel Cell ◽  
Noise Reduction ◽  
Ergodic Hypothesis ◽  
Cell Measurement

Research on aerodynamic performance and noise reduction of high-voltage fans on fuel cell vehicles

2022 ◽  
Vol 186 ◽  
pp. 108454
Author(s):  
Rong Guo ◽  
Tiantian Mi ◽  
Lu Li ◽  
Rui Luo
Keyword(s):  
Fuel Cell ◽  
Noise Reduction ◽  
High Voltage ◽  
Aerodynamic Performance ◽  
Fuel Cell Vehicles

Solutions of Fuel Cell Measurement & Control System Based on Virtual Instrument Technology

2011 ◽  
Vol 143-144 ◽  
pp. 386-390 ◽  
Author(s):  
Jie Zeng ◽  
Jin Xiu Luo ◽  
Wen Hao Xie
Keyword(s):  
Control System ◽  
Fuel Cell ◽  
Virtual Instrument ◽  
Electromagnetic Interference ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Development Environment ◽  
Human Machine Interaction ◽  
Cell Measurement ◽  
Instrument Technology

The research is about the design of fuel cell measurement & control system based on the graphical and virtual instrument technology. The hardware platform of this system is mainly based on NI Company's data acquisition products and the software design is based on the development environment of LabView (Laboratory Virtual Instrument Engineering Workbench). To guarantee the data transmission's accuracy and immediacy, CAN bus and Ethernet are used for the communication between the control modules and the host computer. Through the test, this system meets the requirements of the Proton Exchange Membrane Fuel Cell's measurement & control. And this system has many advantages, such as friendly Human-Machine Interaction, stability, reliability and anti-electromagnetic interference.

Smoothing Techniques for Real-Time Turbine Speed Sensors

2014 ◽  
Author(s):  
Louis Alberto Gutierrez ◽  
Paolo Pezzini ◽  
David Tucker ◽  
Larry Banta
Keyword(s):  
Fuel Cell ◽  
Noise Reduction ◽  
Real Time ◽  
Exponential Smoothing ◽  
Department Of Energy ◽  
Optical Encoder ◽  
Data Noise ◽  
Double Exponential ◽  
Double Exponential Smoothing ◽  
Turbine Speed

A data noise reduction model for a direct-fired fuel cell turbine hybrid power system was evaluated using a hardware-based simulation of an integrated gasifier/fuel cell/turbine hybrid cycle (IGFC), implemented through the Hybrid Performance (HyPer) project at the National Energy Technology Laboratory, U.S. Department of Energy (NETL). The Hyper facility is designed to explore dynamic operation of hybrid systems and quantitatively characterize such transient behavior. The system is controlled by an embedded real-time control platform provided by Woodward Industrial Control. Every sensor is monitored by the platform, and an overall strategy drives the system from start-up to shut-down. Fuel is regulated by a valve which reacts based on the speed of the turbine. There are three optical encoder sensors which are used to monitor turbine speed, and the average of these three sensors is used as feedback for a PID controller, which works to regulate fuel consumption to the combustor. The turbine speed has demonstrated fluctuation in certain conditions, which may be a result of data noise combined with a systemic instability in the flow to the turbine. This research introduces the method of Double Exponential Smoothing as it is applied to data noise reduction in an embedded control platform. An experimental test was conducted to evaluate the performance of the fuel valve speed control when filtered by a real-time Double Exponential Smoothing Algorithm. The results demonstrate, that when compared with traditional filtering techniques, Double Exponential Smoothing offers a significant improvement in both signal volatility and data latency.

The Fuel Cell Measurement of Blood Alcohol

1980 ◽  
pp. 95-103 ◽  
Author(s):  
Janusz Knepil ◽  
Robert Fergie
Keyword(s):  
Fuel Cell ◽  
Blood Alcohol ◽  
Cell Measurement

Sustainable 2,5-furandicarboxylic synthesis by a direct 5-hydroxymethylfurfural fuel cell based on a bifunctional PtNiSx catalyst

2020 ◽  
Vol 56 (88) ◽  
pp. 13611-13614
Author(s):  
Jialu Wang ◽  
Xian Zhang ◽  
Guozhong Wang ◽  
Yunxia Zhang ◽  
Haimin Zhang
Keyword(s):  
Fuel Cell ◽  
Electric Energy ◽  
Value Added ◽  
Chemical Energy ◽  
New Type

A new type of direct 5-hydroxymethylfurfural (HMF) oxidation fuel cell based on a bifunctional PtNiSx/CB catalyst not only transformed chemical energy into electric energy but also converted HMF into value-added 2,5-furandicarboxylic (FDCA).

Satisfaction With Noise Reduction Circuits

1993 ◽  
Vol 2 (1) ◽  
pp. 51-53 ◽  
Author(s):  
Ruth A. Bentler
Keyword(s):  
Noise Reduction
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