Evolutionary Algorithm Based Z-Source DC-DC Boost Converter for Charging EV Battery

Author:

Anitha P.,Karthik Kumar K.,Ravindran M.,Saravanaselvan A.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference37 articles.

1. Particle swarm optimization, genetic algorithm and grey wolf optimizer algorithms performance comparative for a DC-DC boost converter PID controller;Leon;Advances in Science, Technology and Engineering Systems Journal,2021

2. Design of feedback controller for boost converter using optimization technique;Rao;International Journal of Power Electronics and Drive Systems,2013

3. Switched Z-source/quasi-Z-source DC-DC converters with reduced passive components for photovoltaic systems;Liu;IEEE Access,2019

4. Design of PI Controller for Voltage Controller of Four-Phase Interleaved Boost Converter Using Particle Swarm Optimization;Laoprom;Journal of Control Science and Engineering,2020

5. Analysis and design of genetic algorithm-based cascade control strategy for improving the dynamic performance of interleaved DC–DC sepic pfc converter;Komathi;Neural Computing and Applications,2020

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2. Improved Z-Source DC-DC Converter for PMBLDC Based EV;2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE);2023-12-14

3. Performance evaluation of solar-combined boosting topology for EV battery charger using interval type-2 fuzzy controller;Electrical Engineering;2023-10-25

4. A Novel Converter Design for Energy Management in Electrical Vehicles;2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT);2023-01-23

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