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Design of a Wireless Charging System for Online Battery Spectroscopy

Author

Listed:
  • Edoardo Locorotondo

    (Department of Industrial Engineering, University of Florence, 50139 Florence, Italy)

  • Fabio Corti

    (Department of Information Engineering, University of Florence, 50139 Florence, Italy)

  • Luca Pugi

    (Department of Industrial Engineering, University of Florence, 50139 Florence, Italy)

  • Lorenzo Berzi

    (Department of Industrial Engineering, University of Florence, 50139 Florence, Italy)

  • Alberto Reatti

    (Department of Information Engineering, University of Florence, 50139 Florence, Italy)

  • Giovanni Lutzemberger

    (Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, 56122 Pisa, Italy)

Abstract

This paper presents the design procedure of an electric circuit that can perform the battery state diagnosis and, simultaneously, provide its charging. A fast and embedded impedance measurement method is also proposed; this is based on a broadband current signal excitation on the battery during the constant current charging phase. The proposed solution performs the electrochemical impedance spectroscopy (EIS), which is known to provide useful information about battery chemical–physical property changes due to aging or failure events. To demonstrate the functionalities of the proposed method, the spectroscopy is implemented in the control in the wireless charging system. An EIS charging test is simulated on an equivalent circuit model, which emulates the battery impedance properties in a specified frequency band. Circuit parameters are evaluated by experimental data. According to the obtained results, the proposed method allows us to reach an accurate estimation of the battery state and represents a promising solution for an embedded diagnostic of battery health thanks to its simplicity and speed.

Suggested Citation

  • Edoardo Locorotondo & Fabio Corti & Luca Pugi & Lorenzo Berzi & Alberto Reatti & Giovanni Lutzemberger, 2021. "Design of a Wireless Charging System for Online Battery Spectroscopy," Energies, MDPI, vol. 14(1), pages 1-17, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:1:p:218-:d:474285
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    References listed on IDEAS

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    Cited by:

    1. Dong Sik Kim & Young Mo Chung & Beom Jin Chung, 2023. "Statistical Analysis of Electric Vehicle Charging Based on AC Slow Chargers," Energies, MDPI, vol. 16(6), pages 1-15, March.

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