LAPSE:2023.22560
Published Article
LAPSE:2023.22560
A New Efficient Step-Up Boost Converter with CLD Cell for Electric Vehicle and New Energy Systems
Muhammad Zeeshan Malik, Haoyong Chen, Muhammad Shahzad Nazir, Irfan Ahmad Khan, Ahmed N. Abdalla, Amjad Ali, Wan Chen
March 24, 2023
An increase in demand for renewable energy resources, energy storage technologies, and electric vehicles requires high-power level DC-DC converters. The DC-DC converter that is suitable for high-power conversion applications (i.e., resonant, full-bridge or the dual-active bridge) requires magnetic transformer coupling between input and output stage. However, transformer design in these converters remains a challenging problem, with several non-linear scaling issues that need to be simultaneously optimized to reduce losses and maintain acceptable performance. In this paper, a new transformer-less high step-up boost converter with a charge pump capacitorand capacitor-inductor-diode CLD cell is proposed using dynamic modeling. The experimental and simulation results of the proposed converter are carried out in a laboratory and through Matlab Simulink, where 10 V is given as an input voltage, and at the output, 100 V achieved in the proposed converter. A comparative analysis of the proposed converter has also been done with a conventional quadratic converter that has similar parameters. The results suggest that the proposed converter can obtain high voltage gain without operating at the maximum duty cycle and is more efficient than the conventional converter.
Keywords
charge pump capacitor, DC-DC converter, Dynamic Modelling, electric vehicle (EV)
Suggested Citation
Malik MZ, Chen H, Nazir MS, Khan IA, Abdalla AN, Ali A, Chen W. A New Efficient Step-Up Boost Converter with CLD Cell for Electric Vehicle and New Energy Systems. (2023). LAPSE:2023.22560
Author Affiliations
Malik MZ: Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China [ORCID]
Chen H: Department of Electrical Engineering, South China University of Technology Guangzhou, Guangdong 510641, China
Nazir MS: Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China [ORCID]
Khan IA: Marine Engineering Technology Department in a Joint Appointment with the Electrical and Computer Engineering Department, Texas A&M University, Galveston, TX 77554, USA [ORCID]
Abdalla AN: Faculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai’an 223003, China
Ali A: Center of Research Excellence in Renewable Energy, King Fahad University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia [ORCID]
Chen W: Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China
Journal Name
Energies
Volume
13
Issue
7
Article Number
E1791
Year
2020
Publication Date
2020-04-08
Published Version
ISSN
1996-1073
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PII: en13071791, Publication Type: Journal Article
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LAPSE:2023.22560
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doi:10.3390/en13071791
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Mar 24, 2023
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