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Digital Impedance Emulator for Battery Measurement System Calibration.

Francesco Santoni1, Alessio De Angelis1, Antonio Moschitta1

  • 1Engineering Department, University of Perugia, 06125 Perugia, Italy.

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|November 13, 2021
PubMed
Summary

A new programmable impedance emulator uses a digital filter to precisely mimic real battery impedance. This low-cost device offers a stable reference for calibrating battery management systems and electrochemical impedance spectroscopy diagnostics.

Keywords:
battery managementdigital filterfir filterimpedance emulatorimpedance spectroscopyinstrument calibration

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Area of Science:

  • Electrical Engineering
  • Materials Science
  • Electrochemistry

Background:

  • Battery internal state information is crucial for effective battery management systems (BMS).
  • Electrochemical Impedance Spectroscopy (EIS) is a key technique for online battery control and diagnostics.
  • A stable impedance reference is essential for calibrating and testing BMS due to battery impedance variability with state of charge and aging.

Purpose of the Study:

  • To propose a programmable impedance emulator for calibrating BMS based on EIS.
  • To develop a controllable and low-cost reference for battery impedance measurement systems.

Main Methods:

  • Implementation of a digital finite-impulse-response (FIR) filter programmed to replicate real battery impedance.
  • Derivation of an analytical expression for battery impedance from an equivalent circuit model.
  • Validation of the model via numerical simulations and experimental tests.
  • Implementation of the FIR filter on a low-cost microcontroller unit (MCU).

Main Results:

  • The FIR filter successfully reproduced the target battery impedance in the frequency domain.
  • The emulator was implemented on an MCU and validated using custom EIS and commercial instruments.
  • Experimental results demonstrated the feasibility of the proposed emulator.

Conclusions:

  • The developed programmable impedance emulator provides a feasible, controllable, and low-cost solution for calibrating EIS-based BMS.
  • This approach enhances the accuracy and reliability of battery diagnostics and management.