Artificial Neural Network Controlled Multi‐Device Interleaved DC‐DC Boost Converter Implementation for Electric Vehicle Applications
Electric vehicles (EV) are the future of mobility solutions. The EV's are driven by an electric motor with the help of a power electronic interface. The power electronic interface needs to be designed in an efficient way both in mechanical and electrical aspects. This paper proposes the concept...
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Published in: | IEEJ transactions on electrical and electronic engineering Vol. 17; no. 10; pp. 1420 - 1431 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
Hoboken, USA
John Wiley & Sons, Inc
01-10-2022
Wiley Subscription Services, Inc |
Subjects: | |
Online Access: | Get full text |
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Summary: | Electric vehicles (EV) are the future of mobility solutions. The EV's are driven by an electric motor with the help of a power electronic interface. The power electronic interface needs to be designed in an efficient way both in mechanical and electrical aspects. This paper proposes the concept of design, simulation and analysis of a 10 kW Multi‐Device Interleaved DC‐DC Boost Converter (MDIBC) to drive a 4 kW Induction Motor. The output DC voltage is to be maintained at a constant 400 V irrespective of the input variations. MDIBC consists of semi‐controlled switches topology excited by Phase Shifted PWM technique to reduce the ripple current in interleaving inductors. The dual loop control of the MDIBC is implemented using both PI and ANN controllers. The MATLAB/Simulink environment is used to simulate and analyze the design and control implementations. The results obtained through the implementation of ANN control proves that the control of MDIBC is simpler and is superior when compared to PI control. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. |
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ISSN: | 1931-4973 1931-4981 |
DOI: | 10.1002/tee.23652 |