A Predictive Model of SOFC Thermal Management Based on LS-SVM

Ying Ying Zhang; Jing Dong Huang; Ying Zhang

doi:10.4028/www.scientific.net/AMM.538.274

Paper Titles

Modeling and Solving on the Solar Photovoltaic Cells Paving Optimization on Buildings
p.256

A Novel Flyback LED Driver Based on Primary Side Feedback without Auxiliary Winding
p.260

The Study of LED Linear Dimming with Hysteresis Current Driver and Peak Current Detection Driver
p.265

Assessment of Wind Turbine’s Power Curve Based on Performance Reliability Theory
p.270

A Predictive Model of SOFC Thermal Management Based on LS-SVM
p.274

Circuit Designs for an Automation Intelligent Electrical Distribution Terminal Unit Based on DSP
p.281

Design of an Intelligent Help System
p.285

Design of Arithmetic Operation Core in Embedded Processor for High Definition Audio Applications
p.289

Design of USB2.0 Data Exchanging System Based on FPGA
p.293

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 538A Predictive Model of SOFC Thermal Management...

A Predictive Model of SOFC Thermal Management Based on LS-SVM

Abstract:

The thermal management is crucial to the safety and lifespan of Solid Oxide Fuel Cell (SOFC) generation system. For the model-predictive control design, a model of SOFC thermal management system is proposed on the least squares support vector machine (LS-SVM). The model is composed of some thermal modules including SOFC stack, combustor, heat-exchanger and thermal equilibrium apparatus. It predicts the temperature distribution in SOFC generation system by computing the electrochemical reaction in the stack, the gas flow and the heat exchange through the modules. Checked by the experimental data, the model can be used for system temperature fast prediction with high precision and strong generalization ability, which meets the requirement of the research on the online predictive control design of SOFC generation system.