Abstract

The battery impedance is an important indicator of battery health status. In this paper, a magnetic coupling-based impedance measurement method for electrochemical batteries is proposed. Without affecting the energy injection stage, the designed suppression resistance can minimize the influence of the primary circuit response, and the under-damped oscillation waveform containing the battery impedance information can be directly obtained on the primary inductance. The change of the mutual inductance value within a certain range will not affect the measurement results. Therefore, the measurement system has high stability and robustness. By utilizing the discrete Fourier transform (DFT)-based algorithm to calculate the damped oscillation parameters, the battery impedance is accurately derived from the calculated attenuation coefficient and damped oscillation frequency. The accuracy of this method under different coupling parameters is analyzed and verified by simulation and experiment on a Li-ion battery, which could be employed to estimate the state of charge (SOC).

Highlights

  • Simplified Electrical Battery Model OCV represents the battery open-circuit voltage

  • The battery parameters including Ro, CDL, and RCT are used as the indicators of reflectAn electrical battery model can be represented with open-circuit voltage (OCV), ing the state of charge (SOC) and other battery performances [6,7,8,10]

  • The proposed measurement circuit enables the primary method for electrochemical batteries

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Summary

Principle

Simplified Electrical Battery Model OCV represents the battery open-circuit voltage. The battery parameters including Ro, CDL, and RCT are used as the indicators of reflectAn electrical battery model can be represented with open-circuit voltage (OCV), ing the SOC and other battery performances [6,7,8,10]. At this time, the battery equivalent impedance is inductive.

Measurement
Error Signal Analysis
DFT-Based Calculation Method
DFT-Based
Constraint of Measurement
Calculation
Result
Findings
Conclusion
Full Text
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