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Pulse-Based Fast Battery IoT Charger Using Dynamic Frequency and Duty Control Techniques Based on Multi-Sensing of Polarization Curve

Author

Listed:
  • Meng Di Yin

    (School of Electronics Engineering, Kyungpook National University, Daegu 702-701, Korea)

  • Jeonghun Cho

    (School of Electronics Engineering, Kyungpook National University, Daegu 702-701, Korea)

  • Daejin Park

    (School of Electronics Engineering, Kyungpook National University, Daegu 702-701, Korea)

Abstract

The pulse-based charging method for battery cells has been recognized as a fast and efficient way to overcome the shortcoming of a slow charging time in distributed battery cells, which is regarded as a connection of cells such as the Internet of Things (IoT). The pulse frequency for controlling the battery charge duration is dynamically controlled within a certain range in order to inject the maximum charge current into the battery cells. The optimal frequency is determined in order to minimize battery impedance. The adaptation of the proposed pulse duty and frequency decreases the concentration of the polarization by sensing the runtime characteristics of battery cells so that it guarantees a certain level of safety in charging the distributed battery cells within the operating temperature range of 5–45 °C. The sensed terminal voltage and temperature of battery cells are dynamically monitored while the battery is charging so as to adjust the frequency and duty of the proposed charging pulse method, thereby preventing battery degradation. The evaluation results show that a newly designed charging algorithm for the implemented charger system is about 18.6% faster than the conventional constant-current (CC) charging method with the temperature rise within a reasonable range. The implemented charger system, which is based on the proposed dynamic frequency and duty control by considering the cell polarization, charges to about 80% of its maximum capacity in less than 56 min and involves a 13 °C maximum temperature rise without damaging the battery.

Suggested Citation

  • Meng Di Yin & Jeonghun Cho & Daejin Park, 2016. "Pulse-Based Fast Battery IoT Charger Using Dynamic Frequency and Duty Control Techniques Based on Multi-Sensing of Polarization Curve," Energies, MDPI, vol. 9(3), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:3:p:209-:d:65951
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    References listed on IDEAS

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    1. Ming-Hui Chang & Han-Pang Huang & Shu-Wei Chang, 2013. "A New State of Charge Estimation Method for LiFePO 4 Battery Packs Used in Robots," Energies, MDPI, vol. 6(4), pages 1-24, April.
    2. Burke, Andrew & Miller, Marshall & Zhao, Hemgbing, 2012. "Fast Charging Tests (up to 6C) of Lithium Titanate Cells and Modules: Electrical and Thermal Response," Institute of Transportation Studies, Working Paper Series qt63286026, Institute of Transportation Studies, UC Davis.
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    Cited by:

    1. Mohammad Shahjalal & Tamanna Shams & Moshammed Nishat Tasnim & Md Rishad Ahmed & Mominul Ahsan & Julfikar Haider, 2022. "A Critical Review on Charging Technologies of Electric Vehicles," Energies, MDPI, vol. 15(21), pages 1-26, November.
    2. J. M. Amanor-Boadu & A. Guiseppi-Elie & E. Sánchez-Sinencio, 2018. "The Impact of Pulse Charging Parameters on the Life Cycle of Lithium-Ion Polymer Batteries," Energies, MDPI, vol. 11(8), pages 1-15, August.
    3. Xinrong Huang & Yuanyuan Li & Anirudh Budnar Acharya & Xin Sui & Jinhao Meng & Remus Teodorescu & Daniel-Ioan Stroe, 2020. "A Review of Pulsed Current Technique for Lithium-ion Batteries," Energies, MDPI, vol. 13(10), pages 1-18, May.
    4. Mahdi Bayati & Mehrdad Abedi & Maryam Farahmandrad & Gevork B. Gharehpetian & Kambiz Tehrani, 2021. "Important Technical Considerations in Design of Battery Chargers of Electric Vehicles," Energies, MDPI, vol. 14(18), pages 1-20, September.
    5. Ricardo Velho & Miguel Beirão & Maria Do Rosário Calado & José Pombo & João Fermeiro & Sílvio Mariano, 2017. "Management System for Large Li-Ion Battery Packs with a New Adaptive Multistage Charging Method," Energies, MDPI, vol. 10(5), pages 1-21, May.
    6. Bandara, T.G. Thusitha Asela & Viera, J.C. & González, M., 2022. "The next generation of fast charging methods for Lithium-ion batteries: The natural current-absorption methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).

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