Vol.35, No.1, 2023, pp.1103-1118, doi:10.32604/iasc.2023.025511
OPEN ACCESS
ARTICLE
Fuzzy Based Interleaved Step-up Converter for Electric Vehicle
  • T. Saravanakumar, R. Saravana kumar*
School of Electrical Engineering, Vellore Institute of Technology, Vellore, 632014, India
* Corresponding Author: R. Saravana kumar. Email:
Received 26 November 2021; Accepted 10 March 2022; Issue published 06 June 2022
Abstract
This work focuses on the fuzzy controller for the proposed three-phase interleaved Step-up converter (ISC). The fuzzy controller for the proposed ISC converters for electric vehicles has been discussed in detail. The proposed ISC direct current (DC-DC) converter could also be used in automobiles, satellites, industries, and propulsion. To enhance voltage gain, the proposed ISC Converter combines boost converter and interleaved converter (IC). This design also reduces the number of switches. As a result, ISC converter switching losses are reduced. The proposed ISC Converter topology can produce a 143 V output voltage and 1 kW of power. Due to the high voltage gain of this converter design, it is suitable for medium and high-power systems. The proposed ISC Converter topology is simulated in MATLAB/Simulink. The simulated output displays a high output voltage. But the output voltage contains maximum ripples. Fuzzy proposes an ISC Converter which makes closed loop responsiveness and reduces the output voltage ripple. The proposed ISC converter has the lowest ripple output voltage, which is less than 2%, because the duty cycle is regulated using the fuzzy logic controller. It offers high voltage gain, minimal ripple, and low switching loss. The performance of the proposed converter is compared to that of the fuzzy and Proportional Integral (PI) controllers implemented in MATLAB.
Keywords
Step-up converter; interleaved converter; ripple voltage; fuzzy; electric vehicles
Cite This Article
T. Saravanakumar and R. Saravana kumar, "Fuzzy based interleaved step-up converter for electric vehicle," Intelligent Automation & Soft Computing, vol. 35, no.1, pp. 1103–1118, 2023.
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