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Hybrid DC-DC Converter with Artificial Intelligence based MPPT Algorithm for FC-EV

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Title Hybrid DC-DC Converter with Artificial Intelligence based MPPT Algorithm for FC-EV
 
Creator Reddy, B Raja Sekhar
Reddy, V C Veera
Kumar, M Vijaya
 
Subject Artificial intelligence
DC-DC converters
Electric vehicle
Fuel cell
MPPT
 
Description 539-535
This manuscript covers the use of a Brushless DC Motor (BLDC) based on a fuel cell in an electric vehicle with a hybrid
DC-DC converter with artificial intelligence-based Maximum Power Point (MPP) Tracking. The Boost converter and Cuk
converter input stages are integrated in this study to produce a high step-up hybrid boost converter. Only one switch is
required in the proposed topology, which decreases voltage stress across the diodes. The converter's overall efficiency
increased because the voltage across the switch, diode, and capacitor voltage is less than the output voltage. A new Radial
Basis Function Network (RBFN) based MPPT approach is developed for fuel cells based electric vehicles to extract
maximum power at ambient temperatures. Computer software programme MATLAB/SIMULINK is used to evaluate the
Fuel Cell (FC) fed electric vehicle system.
 
Date 2023-05-09T08:30:21Z
2023-05-09T08:30:21Z
2023-05
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/61861
https://doi.org/10.56042/jsir.v82i05.1087
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.82(05) [May 2023]