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Dynamic Wireless Power Transfer for Logistic Robots

Author

Listed:
  • Marojahan Tampubolon

    (Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan)

  • Laskar Pamungkas

    (Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan)

  • Huang-Jen Chiu

    (Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan)

  • Yu-Chen Liu

    (Department of Electrical Engineering, National I-lan University, Yilan 206, Taiwan)

  • Yao-Ching Hsieh

    (Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan)

Abstract

The prospect of using robots in warehouses or supply chain processes is increasing due to the growth of the online retail market. This logistic robot is available in the market and uses a battery as energy storage device. However, this battery is large and heavy. Therefore, it needs a long recharging time. Dynamic Wireless Power Transfer (DWPT) can be an alternative to the conventional charging system because of its safety and flexibility that enables in motion charging. DWPT reduces the battery requirement size and capacity. Hence the stored energy can be used effectively for load transportation. A compensation with an inductor and two capacitors in the transmitter side, and a series connected capacitor in the receiver side which is named LCC-S compensation type has the capability to maintain the transmitter current with a fixed frequency operation. It provides less variation of the output voltage in response to the load variation. Moreover, the compensation of the receiver side uses only a single series capacitor which is low-cost. The analysis, modeling, and design procedures are discussed in this paper as well as the hardware implementation and verification of a 1.5 kW maximum power DWPT. The experiment shows the capability of the proposed system and shows maximum efficiency can reach 91.02%.

Suggested Citation

  • Marojahan Tampubolon & Laskar Pamungkas & Huang-Jen Chiu & Yu-Chen Liu & Yao-Ching Hsieh, 2018. "Dynamic Wireless Power Transfer for Logistic Robots," Energies, MDPI, vol. 11(3), pages 1-13, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:527-:d:134022
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    References listed on IDEAS

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    Cited by:

    1. Fabio Corti & Alberto Reatti & Ya-Hui Wu & Dariusz Czarkowski & Salvatore Musumeci, 2021. "Zero Voltage Switching Condition in Class-E Inverter for Capacitive Wireless Power Transfer Applications," Energies, MDPI, vol. 14(4), pages 1-20, February.
    2. Osamu Shimizu & Sakahisa Nagai & Toshiyuki Fujita & Hiroshi Fujimoto, 2020. "Potential for CO 2 Reduction by Dynamic Wireless Power Transfer for Passenger Vehicles in Japan," Energies, MDPI, vol. 13(13), pages 1-16, June.
    3. Weikun Cai & Dianguang Ma & Houjun Tang & Xiaoyang Lai & Xin Liu & Longzhao Sun, 2018. "Highly Efficient Target Power Control for Two-Receiver Wireless Power Transfer Systems," Energies, MDPI, vol. 11(10), pages 1-17, October.
    4. Weikun Cai & Dianguang Ma & Xiaoyang Lai & Khurram Hashmi & Houjun Tang & Junzhong Xu, 2020. "Time-Sharing Control Strategy for Multiple-Receiver Wireless Power Transfer Systems," Energies, MDPI, vol. 13(3), pages 1-26, January.
    5. Vladimir Kindl & Martin Zavrel & Pavel Drabek & Tomas Kavalir, 2018. "High Efficiency and Power Tracking Method for Wireless Charging System Based on Phase-Shift Control," Energies, MDPI, vol. 11(8), pages 1-19, August.
    6. Vincenzo Cirimele & Fabio Freschi & Paolo Guglielmi, 2018. "Scaling Rules at Constant Frequency for Resonant Inductive Power Transfer Systems for Electric Vehicles," Energies, MDPI, vol. 11(7), pages 1-17, July.
    7. Linfei Hou & Liang Zhang & Jongwon Kim, 2018. "Energy Modeling and Power Measurement for Mobile Robots," Energies, MDPI, vol. 12(1), pages 1-15, December.

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