Real-time optimal EMS of adaptive charge sustenance for fuel cell hybrid buses based on driving characteristics recognition

2022 ◽  
Vol 254 ◽  
pp. 115192
Author(s):  
Xiaoxiao Sun ◽  
Yafu Zhou ◽  
Xinliang Zhang ◽  
Lijian Huang ◽  
Jing Lian
Keyword(s):  
Fuel Cell ◽  
Real Time ◽  
Cell Hybrid ◽  
Time Optimal ◽  
Fuel Cell Hybrid

Generic Real-Time Modeling of Solid Oxide Fuel Cell Hybrid Systems

2009 ◽  
Vol 6 (2) ◽  
Author(s):  
Francesco Ghigliazza ◽  
Alberto Traverso ◽  
Aristide F. Massardo ◽  
John Wingate ◽  
Mario Ferrari
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Real Time ◽  
Cell Hybrid ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Time Modeling ◽  
Direct Use ◽  
Application Specific ◽  
Fuel Cell Hybrid

Real-time (RT) modeling is a recognized approach to monitor advanced systems and to improve control capabilities. Applications of RT models are commonly used in the automotive and aerospace fields. Starting from existing components and models developed in TRANSEO[REF], a new approach, called the multipurpose RT approach, is developed for the solid oxide fuel cell hybrid system application. Original C-based models have been reprogrammed into embedded MATLAB functions for direct use within MATLAB-SIMULINK. Also, models in TRANSEO have been simplified to improve execution time. Using MATLAB’s Real-Time Workshop application, the system model is able to be translated into an autogenerated C-code, and run as an application specific RT executable.

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