Always-on quick charging for mobile devices

Daeyong Kim, Seunghyeok Jeon, Seokjun Lee, Hojung Cha

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    Abstract

    Mobile users are always demanding extended availability in their battery use. Together with enlarged battery capacity, fast charging is one approach that provides an improved user experience in battery use. Recently, device manufacturers have been developing a variety of fast charging techniques for mobile devices. However, the existing techniques severely reduce the charging power when the device is in use while charging. We experimentally demonstrate that the primary cause of the reduction in the charge speed during device use is to cope with the performance degradation incurred by heat generation. We then propose an adaptive charging scheme, called Always-on Quick Charging, which enables fast charging especially when the device is in use. The key idea of our approach is to adjust the charging power while ensuring that the heat generated by the charging does not affect the performance. The proposed scheme is implemented in Google's Pixel 2XL smartphone. The experiment with a real-world usage scenario shows that the charging speed of the proposed scheme is up to 2.4 times faster than the default scheme, while preserving device performance.

    Original languageEnglish
    Title of host publication2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781538691489
    DOIs
    Publication statusPublished - 2019 Mar
    Event2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019 - Kyoto, Japan
    Duration: 2019 Mar 122019 Mar 14

    Publication series

    Name2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019

    Conference

    Conference2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019
    Country/TerritoryJapan
    CityKyoto
    Period19/3/1219/3/14

    All Science Journal Classification (ASJC) codes

    • Media Technology
    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Science Applications

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