IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i7p1791-d342740.html
   My bibliography  Save this article

A New Efficient Step-Up Boost Converter with CLD Cell for Electric Vehicle and New Energy Systems

Author

Listed:
  • Muhammad Zeeshan Malik

    (Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China)

  • Haoyong Chen

    (Department of Electrical Engineering, South China University of Technology Guangzhou, Guangdong 510641, China)

  • Muhammad Shahzad Nazir

    (Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China)

  • Irfan Ahmad Khan

    (Marine Engineering Technology Department in a Joint Appointment with the Electrical and Computer Engineering Department, Texas A&M University, Galveston, TX 77554, USA)

  • Ahmed N. Abdalla

    (Faculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai’an 223003, China)

  • Amjad Ali

    (Center of Research Excellence in Renewable Energy, King Fahad University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Wan Chen

    (Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China)

Abstract

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.

Suggested Citation

  • Muhammad Zeeshan Malik & Haoyong Chen & Muhammad Shahzad Nazir & Irfan Ahmad Khan & Ahmed N. Abdalla & Amjad Ali & Wan Chen, 2020. "A New Efficient Step-Up Boost Converter with CLD Cell for Electric Vehicle and New Energy Systems," Energies, MDPI, vol. 13(7), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1791-:d:342740
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/7/1791/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/7/1791/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manzoor Ellahi & Ghulam Abbas & Irfan Khan & Paul Mario Koola & Mashood Nasir & Ali Raza & Umar Farooq, 2019. "Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review," Energies, MDPI, vol. 12(22), pages 1-30, November.
    2. Ren, Guizhou & Ma, Guoqing & Cong, Ning, 2015. "Review of electrical energy storage system for vehicular applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 225-236.
    3. Bor-Ren Lin, 2018. "Investigation of a Resonant dc–dc Converter for Light Rail Transportation Applications," Energies, MDPI, vol. 11(5), pages 1-11, April.
    4. Ioana-Monica Pop-Calimanu & Septimiu Lica & Sorin Popescu & Dan Lascu & Ioan Lie & Radu Mirsu, 2019. "A New Hybrid Inductor-Based Boost DC-DC Converter Suitable for Applications in Photovoltaic Systems," Energies, MDPI, vol. 12(2), pages 1-32, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Piotr Zimoch & Marcin Kasprzak & Kamil Kierepka, 2020. "Influence of MOSFET Parasitic Capacitance on the Operation of Interleaved ZVS Boost Converters," Energies, MDPI, vol. 13(22), pages 1-17, November.
    2. Salvatore Musumeci, 2023. "Energy Conversion Using Electronic Power Converters: Technologies and Applications," Energies, MDPI, vol. 16(8), pages 1-9, April.
    3. Belqasem Aljafari & Senthil Kumar Ramu & Gunapriya Devarajan & Indragandhi Vairavasundaram, 2022. "Integration of Photovoltaic-Based Transformerless High Step-Up Dual-Output–Dual-Input Converter with Low Power Losses for Energy Storage Applications," Energies, MDPI, vol. 15(15), pages 1-19, July.
    4. Ahmad Alzahrani & Pourya Shamsi & Mehdi Ferdowsi, 2020. "Interleaved Multistage Step-Up Topologies with Voltage Multiplier Cells," Energies, MDPI, vol. 13(22), pages 1-18, November.
    5. Ahmad Alzahrani & Pourya Shamsi & Mehdi Ferdowsi, 2020. "A Family of High Voltage Gain Three-Level Step-Up Converters for Photovoltaic Module Integration Applications," Energies, MDPI, vol. 13(22), pages 1-17, November.
    6. Hassan Khalid & Saad Mekhilef & Marizan Binti Mubin & Mehdi Seyedmahmoudian & Alex Stojcevski & Muhyaddin Rawa & Ben Horan, 2022. "Analysis and Design of Series-LC-Switch Capacitor Multistage High Gain DC-DC Boost Converter for Electric Vehicle Applications," Sustainability, MDPI, vol. 14(8), pages 1-24, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Das, Himadry Shekhar & Tan, Chee Wei & Yatim, A.H.M., 2017. "Fuel cell hybrid electric vehicles: A review on power conditioning units and topologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 268-291.
    2. Wang, Bin & Xu, Jun & Cao, Binggang & Ning, Bo, 2017. "Adaptive mode switch strategy based on simulated annealing optimization of a multi-mode hybrid energy storage system for electric vehicles," Applied Energy, Elsevier, vol. 194(C), pages 596-608.
    3. Li, Hai & Zheng, Peng & Zhang, Tingsheng & Zou, Yingquan & Pan, Yajia & Zhang, Zutao & Azam, Ali, 2021. "A high-efficiency energy regenerative shock absorber for powering auxiliary devices of new energy driverless buses," Applied Energy, Elsevier, vol. 295(C).
    4. M׳boungui, G. & Adendorff, K. & Naidoo, R. & Jimoh, A.A. & Okojie, D.E., 2015. "A hybrid piezoelectric micro-power generator for use in low power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1136-1144.
    5. Raluca-Andreea Felseghi & Ioan Așchilean & Nicoleta Cobîrzan & Andrei Mircea Bolboacă & Maria Simona Raboaca, 2021. "Optimal Synergy between Photovoltaic Panels and Hydrogen Fuel Cells for Green Power Supply of a Green Building—A Case Study," Sustainability, MDPI, vol. 13(11), pages 1-20, June.
    6. Alanne, Kari & Cao, Sunliang, 2019. "An overview of the concept and technology of ubiquitous energy," Applied Energy, Elsevier, vol. 238(C), pages 284-302.
    7. Wang, Shunli & Shang, Liping & Li, Zhanfeng & Deng, Hu & Li, Jianchao, 2016. "Online dynamic equalization adjustment of high-power lithium-ion battery packs based on the state of balance estimation," Applied Energy, Elsevier, vol. 166(C), pages 44-58.
    8. Muhammad Yasir Ali Khan & Haoming Liu & Salman Habib & Danish Khan & Xiaoling Yuan, 2022. "Design and Performance Evaluation of a Step-Up DC–DC Converter with Dual Loop Controllers for Two Stages Grid Connected PV Inverter," Sustainability, MDPI, vol. 14(2), pages 1-22, January.
    9. Marta Poncela-Blanco & Pilar Poncela, 2021. "Improving Wind Power Forecasts: Combination through Multivariate Dimension Reduction Techniques," Energies, MDPI, vol. 14(5), pages 1-16, March.
    10. Yuan-Kang Wu & Cheng-Liang Huang & Quoc-Thang Phan & Yuan-Yao Li, 2022. "Completed Review of Various Solar Power Forecasting Techniques Considering Different Viewpoints," Energies, MDPI, vol. 15(9), pages 1-22, May.
    11. Shaukat, N. & Khan, B. & Ali, S.M. & Mehmood, C.A. & Khan, J. & Farid, U. & Majid, M. & Anwar, S.M. & Jawad, M. & Ullah, Z., 2018. "A survey on electric vehicle transportation within smart grid system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1329-1349.
    12. Yanzi Wang & Weida Wang & Yulong Zhao & Lei Yang & Wenjun Chen, 2016. "A Fuzzy-Logic Power Management Strategy Based on Markov Random Prediction for Hybrid Energy Storage Systems," Energies, MDPI, vol. 9(1), pages 1-20, January.
    13. Mayyas, Abdel Ra'ouf & Kumar, Sushil & Pisu, Pierluigi & Rios, Jacqueline & Jethani, Puneet, 2017. "Model-based design validation for advanced energy management strategies for electrified hybrid power trains using innovative vehicle hardware in the loop (VHIL) approach," Applied Energy, Elsevier, vol. 204(C), pages 287-302.
    14. Datas, Alejandro & Ramos, Alba & Martí, Antonio & del Cañizo, Carlos & Luque, Antonio, 2016. "Ultra high temperature latent heat energy storage and thermophotovoltaic energy conversion," Energy, Elsevier, vol. 107(C), pages 542-549.
    15. Mousavi G, S.M. & Faraji, Faramarz & Majazi, Abbas & Al-Haddad, Kamal, 2017. "A comprehensive review of Flywheel Energy Storage System technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 477-490.
    16. Faisal Tariq & Salem Alelyani & Ghulam Abbas & Ayman Qahmash & Mohammad Rashid Hussain, 2020. "Solving Renewables-Integrated Economic Load Dispatch Problem by Variant of Metaheuristic Bat-Inspired Algorithm," Energies, MDPI, vol. 13(23), pages 1-36, November.
    17. João Fausto L. de Oliveira & Paulo S. G. de Mattos Neto & Hugo Valadares Siqueira & Domingos S. de O. Santos & Aranildo R. Lima & Francisco Madeiro & Douglas A. P. Dantas & Mariana de Morais Cavalcant, 2023. "Forecasting Methods for Photovoltaic Energy in the Scenario of Battery Energy Storage Systems: A Comprehensive Review," Energies, MDPI, vol. 16(18), pages 1-20, September.
    18. Ren, Guizhou & Wang, Jinzhong & Chen, Changlei & Wang, Haoran, 2021. "A variable-voltage ultra-capacitor/battery hybrid power source for extended range electric vehicle," Energy, Elsevier, vol. 231(C).
    19. Prakash Venugopal & Vigneswaran T., 2019. "State-of-Health Estimation of Li-ion Batteries in Electric Vehicle Using IndRNN under Variable Load Condition," Energies, MDPI, vol. 12(22), pages 1-29, November.
    20. J.-K. Mueller & A. Bensmann & B. Bensmann & T. Fischer & T. Kadyk & G. Narjes & F. Kauth & B. Ponick & J. R. Seume & U. Krewer & R. Hanke-Rauschenbach & A. Mertens, 2018. "Design Considerations for the Electrical Power Supply of Future Civil Aircraft with Active High-Lift Systems," Energies, MDPI, vol. 11(1), pages 1-21, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1791-:d:342740. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.