STDA020A February   2026  – June 2026 BQ79826Z-Q1 , BQ79881-Q1

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
  5. 2Analyzing Batteries With EIS
    1. 2.1 What Has Changed? Regulation Driving Earlier Detection
    2. 2.2 What is EIS?
    3. 2.3 How Does a Battery EIS Work?
    4. 2.4 How to Use Impedance Data
    5. 2.5 What Other Insights Does EIS Provide?
  6. 3Impact of EIS: Three Use Cases
    1. 3.1 Thermal Runaway Detection
    2. 3.2 Faster Charging
    3. 3.3 Charge and Availability
  7. 4Measuring EIS
    1. 4.1 EIS System Architecture
    2. 4.2 Parameters for EIS Measurement
    3. 4.3 TI's EIS Chipset
    4. 4.4 Reference Designs
  8. 5Conclusion

How to Use Impedance Data

Once a BMS is enabled with impedance measurement capability, identifying the battery parameters that correlate with the impedance becomes the focus.

A Nyquist plot is a common technique to visualize impedance over frequency. Figure 2-3 shows the real impedance on the x-axis and the imaginary impedance on the y-axis. Each line comprises a sweep of frequencies from 0.1Hz to 1kHz, with the lowest frequency on the right and the highest on the left. The line color in Figure 2-3 indicates the temperature of the battery during the sweep.

BQ79826Z-Q1 BQ79881-Q1 Temperature Versus Impedance Nyquist
          Plot Figure 2-3 Temperature Versus Impedance Nyquist Plot

In the plot, the impedance curves change shape versus temperature. Furthermore, the black circle, which represents a single impedance at 500Hz, moves as the temperature changes. Designers can use this EIS-based temperature data to identify the core temperature of the battery, monitor spikes in temperature during charging, and reduce the number of temperature sensors needed in the system.