IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v323y2022ics0306261922009333.html
   My bibliography  Save this article

Wireless power transfer tuning model of electric vehicles with pavement materials as transmission media for energy conservation

Author

Listed:
  • Li, Feng
  • Li, Yanjie
  • Zhou, Siqi
  • Chen, Yifang
  • Sun, Xuan
  • Deng, Yutong

Abstract

Wireless power transfer (WPT) is one of the ways to alleviate the charging difficulties of electric vehicles, accelerating the growth of ownership of electric vehicles to replace petrol vehicles towards carbon net zero in transportation. In order to ensure the durability of the primary circuits of WPT and prevent the circuits to become obstacles for driving, the primary circuits need to be buried in the pavement structure. However, pavement materials can adversely affect the resonant induction coupling process of WPT, reducing the power and efficiency of charging. In order to explore the influence of the type and thickness of pavement materials on the WPT, vibrating sample magnetometer was used to test the magnetization performance of raw materials of pavement. The effective relative permeability of the three most commonly used pavement materials, including AC-13, SMA-13 and PCC, was calculated according to the magnetic circuit model. The simulation models of primary coil, secondary coil and pavement materials were established in Ansys Maxwell software. The self-inductance and mutual inductance of the coils after inserting pavement materials were obtained. The output power and transmission efficiency of WPT were calculated according to the theoretical calculation formulae. The results showed that inserting pavement materials between the primary and secondary coil as transmission media enhanced the primary self-inductance, secondary self-inductance and mutual inductance, leading to the detuning of resonant circuit and the reduction of output power. After adjusting the frequency of the high-frequency voltage to the resonant frequency, the output power of WPT was improved. Among the three materials, the output power was the highest when AC-13 was used. In addition, the calculation formulae of resonance frequency, output power and efficiency after introducing pavement materials were given, providing calculation basis for the design of WPT pavement.

Suggested Citation

  • Li, Feng & Li, Yanjie & Zhou, Siqi & Chen, Yifang & Sun, Xuan & Deng, Yutong, 2022. "Wireless power transfer tuning model of electric vehicles with pavement materials as transmission media for energy conservation," Applied Energy, Elsevier, vol. 323(C).
    • Handle: RePEc:eee:appene:v:323:y:2022:i:c:s0306261922009333
    DOI: 10.1016/j.apenergy.2022.119631
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922009333
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2022.119631?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Prasanth Venugopal & Soumya Bandyopadhyay & Pavol Bauer & Jan Abraham Ferreira, 2017. "A Generic Matrix Method to Model the Magnetics of Multi-Coil Air-Cored Inductive Power Transfer Systems," Energies, MDPI, vol. 10(6), pages 1-17, June.
    2. Venugopal, Prasanth & Shekhar, Aditya & Visser, Erwin & Scheele, Natalia & Chandra Mouli, Gautham Ram & Bauer, Pavol & Silvester, Sacha, 2018. "Roadway to self-healing highways with integrated wireless electric vehicle charging and sustainable energy harvesting technologies," Applied Energy, Elsevier, vol. 212(C), pages 1226-1239.
    3. Yang Yang & Jinlong Cui & Xin Cui, 2020. "Design and Analysis of Magnetic Coils for Optimizing the Coupling Coefficient in an Electric Vehicle Wireless Power Transfer System," Energies, MDPI, vol. 13(16), pages 1-15, August.
    4. Shichun Yang & Xiaoyu Yan & Hong He & Peng Yang & Zhaoxia Peng & Haigang Cui, 2018. "Control Strategy for Vehicle Inductive Wireless Charging Based on Load Adaptive and Frequency Adjustment," Energies, MDPI, vol. 11(5), pages 1-23, May.
    5. Guodong Chen & Chao Rao & Yue Sun & Zhenxin Chen & Chunsen Tang & Zhenpeng Zhang, 2019. "Primary Control Method of Wireless Charging System Based on Load Characteristics," Energies, MDPI, vol. 12(7), pages 1-17, April.
    6. Bi, Zicheng & Kan, Tianze & Mi, Chunting Chris & Zhang, Yiming & Zhao, Zhengming & Keoleian, Gregory A., 2016. "A review of wireless power transfer for electric vehicles: Prospects to enhance sustainable mobility," Applied Energy, Elsevier, vol. 179(C), pages 413-425.
    7. Deng, Junjun & Pang, Bo & Shi, Wenli & Wang, Zhenpo, 2017. "A new integration method with minimized extra coupling effects using inductor and capacitor series-parallel compensation for wireless EV charger," Applied Energy, Elsevier, vol. 207(C), pages 405-416.
    8. Zhou, Junfeng & Zhang, Yanhui & Zhang, Yubo & Shang, Wen-Long & Yang, Zhile & Feng, Wei, 2022. "Parameters identification of photovoltaic models using a differential evolution algorithm based on elite and obsolete dynamic learning," Applied Energy, Elsevier, vol. 314(C).
    9. Shang, Wen-Long & Chen, Jinyu & Bi, Huibo & Sui, Yi & Chen, Yanyan & Yu, Haitao, 2021. "Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis," Applied Energy, Elsevier, vol. 285(C).
    10. Rubino, Luigi & Capasso, Clemente & Veneri, Ottorino, 2017. "Review on plug-in electric vehicle charging architectures integrated with distributed energy sources for sustainable mobility," Applied Energy, Elsevier, vol. 207(C), pages 438-464.
    11. Bi, Huibo & Shang, Wen-Long & Chen, Yanyan & Wang, Kezhi & Yu, Qing & Sui, Yi, 2021. "GIS aided sustainable urban road management with a unifying queueing and neural network model," Applied Energy, Elsevier, vol. 291(C).
    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. Bozhi & Mahmoud Mohamed & Vahid Najafi Moghaddam Gilani & Ayesha Amjad & Mohammed Sh. Majid & Khalid Yahya & Mohamed Salem, 2023. "A Review of Wireless Pavement System Based on the Inductive Power Transfer in Electric Vehicles," Sustainability, MDPI, vol. 15(20), pages 1-20, October.

    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. Frechter, Yotam & Kuperman, Alon, 2020. "Analysis and design of inductive wireless power transfer link for feedback-less power delivery to enclosed compartment," Applied Energy, Elsevier, vol. 278(C).
    2. Qiao, Dongdong & Wei, Xuezhe & Fan, Wenjun & Jiang, Bo & Lai, Xin & Zheng, Yuejiu & Tang, Xiaolin & Dai, Haifeng, 2022. "Toward safe carbon–neutral transportation: Battery internal short circuit diagnosis based on cloud data for electric vehicles," Applied Energy, Elsevier, vol. 317(C).
    3. Soares, Laura & Wang, Hao, 2022. "A study on renewed perspectives of electrified road for wireless power transfer of electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    4. Li, Lantian & Wang, Zhenpo & Gao, Feng & Wang, Shuo & Deng, Junjun, 2020. "A family of compensation topologies for capacitive power transfer converters for wireless electric vehicle charger," Applied Energy, Elsevier, vol. 260(C).
    5. Niu, Songyan & Yu, Hang & Niu, Shuangxia & Jian, Linni, 2020. "Power loss analysis and thermal assessment on wireless electric vehicle charging technology: The over-temperature risk of ground assembly needs attention," Applied Energy, Elsevier, vol. 275(C).
    6. Yu, Qing & Li, Weifeng & Zhang, Haoran & Chen, Jinyu, 2022. "GPS data in taxi-sharing system: Analysis of potential demand and assessment of fuel consumption based on routing probability model," Applied Energy, Elsevier, vol. 314(C).
    7. Zhao, Shihao & Li, Kang & Yang, Zhile & Xu, Xinzhi & Zhang, Ning, 2022. "A new power system active rescheduling method considering the dispatchable plug-in electric vehicles and intermittent renewable energies," Applied Energy, Elsevier, vol. 314(C).
    8. Zhou, Junfeng & Zhang, Yanhui & Zhang, Yubo & Shang, Wen-Long & Yang, Zhile & Feng, Wei, 2022. "Parameters identification of photovoltaic models using a differential evolution algorithm based on elite and obsolete dynamic learning," Applied Energy, Elsevier, vol. 314(C).
    9. Pradeep Vishnuram & Suresh Panchanathan & Narayanamoorthi Rajamanickam & Vijayakumar Krishnasamy & Mohit Bajaj & Marian Piecha & Vojtech Blazek & Lukas Prokop, 2023. "Review of Wireless Charging System: Magnetic Materials, Coil Configurations, Challenges, and Future Perspectives," Energies, MDPI, vol. 16(10), pages 1-31, May.
    10. Massimo Ceraolo & Valentina Consolo & Mauro Di Monaco & Giovanni Lutzemberger & Antonino Musolino & Rocco Rizzo & Giuseppe Tomasso, 2021. "Design and Realization of an Inductive Power Transfer for Shuttles in Automated Warehouses," Energies, MDPI, vol. 14(18), pages 1-20, September.
    11. Hongxin Yu & Yaohui Jiang & Zhaowen Zhang & Wen-Long Shang & Chunjia Han & Yuanjun Zhao, 2022. "The impact of carbon emission trading policy on firms’ green innovation in China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
    12. Geetha Palani & Usha Sengamalai & Pradeep Vishnuram & Benedetto Nastasi, 2023. "Challenges and Barriers of Wireless Charging Technologies for Electric Vehicles," Energies, MDPI, vol. 16(5), pages 1-47, February.
    13. Tan, Zhen & Liu, Fan & Chan, Hing Kai & Gao, H. Oliver, 2022. "Transportation systems management considering dynamic wireless charging electric vehicles: Review and prospects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    14. Amjad, Muhammad & Farooq-i-Azam, Muhammad & Ni, Qiang & Dong, Mianxiong & Ansari, Ejaz Ahmad, 2022. "Wireless charging systems for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    15. Liu, Qingchen & Li, Hongchang & Shang, Wen-long & Wang, Kun, 2022. "Spatio-temporal distribution of Chinese cities’ air quality and the impact of high-speed rail," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    16. Andong Yin & Shenchun Wu & Weihan Li & Jinfang Hu, 2019. "Analysis of Battery Reduction for an Improved Opportunistic Wireless-Charged Electric Bus," Energies, MDPI, vol. 12(15), pages 1-24, July.
    17. Shi, Jie & Gao, H. Oliver, 2022. "Efficient energy management of wireless charging roads with energy storage for coupled transportation–power systems," Applied Energy, Elsevier, vol. 323(C).
    18. Dai, Rongjian & Ding, Chuan & Gao, Jian & Wu, Xinkai & Yu, Bin, 2022. "Optimization and evaluation for autonomous taxi ride-sharing schedule and depot location from the perspective of energy consumption," Applied Energy, Elsevier, vol. 308(C).
    19. Lv, Zhihan & Wang, Nana & Lou, Ranran & Tian, Yajun & Guizani, Mohsen, 2023. "Towards carbon Neutrality: Prediction of wave energy based on improved GRU in Maritime transportation," Applied Energy, Elsevier, vol. 331(C).
    20. Qiu, Dawei & Wang, Yi & Sun, Mingyang & Strbac, Goran, 2022. "Multi-service provision for electric vehicles in power-transportation networks towards a low-carbon transition: A hierarchical and hybrid multi-agent reinforcement learning approach," Applied Energy, Elsevier, vol. 313(C).

    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:eee:appene:v:323:y:2022:i:c:s0306261922009333. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.