Modeling of Fuel Cell Stack for High-Speed Computation and Implementation to Integrated System Model

2021 ◽  
Vol 104 (8) ◽  
pp. 3-26
Author(s):  
Shigeki Hasegawa ◽  
Motoyuki Kimata ◽  
Yoshihiro Ikogi ◽  
Miho Kageyama ◽  
Motoaki Kawase ◽  
...  
Keyword(s):  
Fuel Cell ◽  
High Speed ◽  
Integrated System ◽  
System Model ◽  
Fuel Cell Stack ◽  
Integrated System Model

Modeling of Fuel Cell Stack for High-Speed Computation and Implementation to Integrated System Model

2021 ◽  
Vol MA2021-02 (36) ◽  
pp. 1016-1016
Author(s):  
Shigeki Hasegawa ◽  
Motoyuki Kimata ◽  
Yoshihiro Ikogi ◽  
Miho Kageyama ◽  
Motoaki Kawase ◽  
...  
Keyword(s):  
Fuel Cell ◽  
High Speed ◽  
Integrated System ◽  
System Model ◽  
Fuel Cell Stack ◽  
Integrated System Model

STEP-NC Based Integrated CAD/CAPP/CAM/CNC System

2006 ◽  
Vol 532-533 ◽  
pp. 1100-1103
Author(s):  
Zhou Yang Li ◽  
Xi Tian Tian ◽  
Guo Ding Chen
Keyword(s):  
Data Exchange ◽  
Data Modeling ◽  
Integrated System ◽  
System Model ◽  
Cnc System ◽  
Product Data ◽  
System Data ◽  
Feature Conversion ◽  
Modeling Feature ◽  
Integrated System Model

To solve the problems of product data exchange and sharing between CAD, CAPP, CAM and CNC systems, a CAD/CAPP/CAM/CNC integrated system model is established according to STEP-NC standards. STEP-NC files are used to represent product data in form of neutral file, by which data exchange and sharing can be realized in the integrated system. Furthermore, the key integration technologies including integrated system data modeling, feature conversion are discussed in this paper.

Experimental Test Plan and Data Analysis Based on the Design of Experiment Methodology

2012 ◽  
Author(s):  
Angelo Esposito ◽  
Philippe Mocoteguy ◽  
Fabio Postiglione ◽  
Maurizio Guida ◽  
Cesare Pianese ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Design Of Experiment ◽  
Solid Oxide ◽  
System Model ◽  
System Response ◽  
Test Plan ◽  
Model Accuracy ◽  
Fuel Cell Stack ◽  
Input Variables ◽  
Full Factorial

The development of fault diagnostics for fuel cell (FC) stacks and systems can increase their lifetime and therefore their overall efficiency. The development of such techniques often requires a reliable computational FC stack or system model. Given the complexity of such systems, endless time and effort has to be used to test the systems and identify the related models unless an adequate trade-off between available time and desired model accuracy is found. The Design of Experiment (DoE) methodology enables determining the best compromise between the number of experiments to conduct and the obtained information. In this work, the DoE approach is used to define a test plan that is carried out on a solid oxide fuel cell stack. The methodology is then further exploited to analyse the measured data and to determine the influence of the selected parameters (i.e. input variables) on the response extracted from the monitored variables. Specifically, a Full Factorial DoE analysis is performed and the relative results are compared. The results show which parameters have a direct effect and which affect indirectly, in coupling with other parameters, on the system response.

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