Publication Type : Journal Article
Publisher : International Journal of Emerging Electric Power Systems
Source : International Journal of Emerging Electric Power Systems, pp.1-13, Aug,2018. (ESCI and Scopus indexed)
Url : https://research.vit.ac.in/publication/high-step-up-boost-converter-with-neural-network
Campus : Bengaluru
School : School of Engineering
Department : Electrical and Electronics
Year : 2018
Abstract : High switching frequency and high voltage gain DC-DC boost converters are required for electric vehicles. In this paper, a new high step-up boost converter (HSBC) is designed for fuel cell electric vehicles (FCEV) applications. The designed converter provides the better high voltage gain compared to conventional boost converter and also reduces the input current ripples and voltage stress on power semiconductor switches. In addition to this, a neural network based maximum power point tracking (MPPT) controller is designed for the 1.26 kW proton exchange membrane fuel cell (PEMFC). Radial basis function network (RBFN) algorithm is used in the neural network controller to extract the maximum power from PEMFC at different temperature conditions. The performance analysis of the designed MPPT controller is analyzed and compared with a fuzzy logic
Cite this Research Publication : K. Jyotheeswara Reddy, N. Sudhakar, S. Saravanan, B. ChittiBabu, “High Step-up Boost Converter with Neural Network Based MPPT controller for a PEMFC Power Source Used in Vehicular Applications” International Journal of Emerging Electric Power Systems, pp.1-13, Aug,2018. (ESCI and Scopus indexed)