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


Due to the additional vigorous regulations on carbon gas emissions and fuel economy, Fuel cell electrical vehicles (FCEV) are changing into more widespread in the automobile business. This paper presents a neural network-primarily based most power point tracking (MPPT) controller for 1.twenty six-kW proton exchange membrane fuel cell (PEMFC), supplying electric vehicle powertrain through a high voltage-gain dc-dc boost converter. The proposed neural network MPPT controller uses a radial basis perform network (RBFN) algorithm for tracking the most power purpose of the PEMFC. High switching-frequency and high voltage-gain dc-dc converters are essential for the propulsion of FCEV. In order to achieve high voltage-gain, a three-section high voltage-gain interleaved boost converter is also designed for FCEV system. The interleaving technique reduces the input current ripple and voltage stress on the power semiconductor devices. The performance analysis of the FCEV system with RBFN-based mostly MPPT controller is compared with the fuzzy logic controller in MATLAB/Simulink platform.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm ABSTRACT: The term "pattern mining," or PM for short, refers to the process of extracting from data patterns that are of interest to users.
PROJECT TITLE : Pollution Severity Monitoring of High Voltage Transmission Line Insulators Using Wireless Device Based on Leakage Current Bursts ABSTRACT: In this article, a smart wireless online device for the monitoring of
PROJECT TITLE : Short Text Topic Modeling Techniques, Applications, and Performance: A Survey ABSTRACT: The semantic understanding of short texts is required for a wide variety of real-world applications, so their analysis allows
PROJECT TITLE : Discretization Using Combination of Heuristics for High Accuracy with Huge Noise Reduction ABSTRACT: In the course of time, a number of discretization algorithms have been developed; however, the issue of how
PROJECT TITLE : Deep Tone Mapping Operator for High Dynamic Range Images ABSTRACT: The need for a rapid tone mapping operator (TMO) capable of adapting to a wide range of high dynamic range (HDR) content on low dynamic range (LDR)

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry