Design and Performance Evaluation of a 10-kW Interleaved Boost Converter for a Fuel Cell Electric Vehicle

2006 ◽  
Author(s):  
G. Calderon-Lopez ◽  
A. J. Forsyth ◽  
D. R. Nuttall
Keyword(s):  
Performance Evaluation ◽  
Fuel Cell ◽  
Electric Vehicle ◽  
Boost Converter ◽  
Interleaved Boost Converter ◽  
Fuel Cell Electric Vehicle ◽  
And Performance

scholarly journals High Voltage Gain Interleaved Boost Converter with Neural Network Based MPPT Controller for Fuel Cell Based Electric Vehicle Applications

2021 ◽  
Vol 9 (VI) ◽  
pp. 4728-4732
Author(s):  
Praniali Surendra Kawale
Keyword(s):  
Neural Network ◽  
Fuel Cell ◽  
Electric Vehicle ◽  
Proton Exchange Membrane ◽  
Radial Basis Function Network ◽  
Boost Converter ◽  
Proton Exchange ◽  
Maximum Power ◽  
Interleaved Boost Converter ◽  
Mppt Controller

As a result of the strict regulations on carbon emissions and the fuel economy, fuel cell electric vehicles (FCEV) vehicles are becoming increasingly popular in the automotive industry. This paper provides the Neural Network Maximum Power Point Tracking (MPPT) controller of the 1.26 kW Proton Exchange Membrane Fuel Cell (PEMFC), which provides electric vehicle powertrain using DC-DC power converters. The proposed neural network controls the MPPT Radial Basis Function Network (RBFN) using the PEMFC Maximum PowerPoint (MPP) tracking algorithm. High frequency switching and high DC-DC converting power are important for FCEV continuity. For maximum power gain, a three-phase power supply interleaved boost converter (IBC) is also designed for the FCEV system. The interleaving process reduces the current input pressure and electrical pressure in semiconductor electrical equipment. FCEV system performance analysis with RBFN based MPPT control compared to fuzzy logic controllers (FLC) on the MATLAB / Simulink platform.

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