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Precautions for measuring internal resistance of lithium batteries

Jun 03, 2025

Precautions for measuring internal resistance of lithium batteries

1. Measurement environment:
Temperature control: Maintain stable measurement environment temperature, as temperature has a significant impact on the internal resistance of lithium batteries. Generally, measurements should be taken within the specified temperature range, and the measurement results should be temperature corrected.
Humidity control: Avoid excessive humidity to prevent it from affecting the performance of measuring equipment and batteries.

2. Calibration of measuring equipment:
Regular calibration: Measuring equipment should be calibrated regularly to ensure the accuracy of measurement results.
Accuracy selection: Select measuring equipment with appropriate accuracy according to measurement requirements.

3. Battery status:
Charging status: Before measurement, the charging status of the battery should be clearly defined, such as fully charged, partially charged, or discharged. The internal resistance may vary in different states.
Rest time: Before measurement, the battery should be left to rest for a period of time to reach a stable state inside the battery.

4. Contact resistance:
Optimize connection: Ensure good contact between the measuring fixture and the battery electrode, and reduce the impact of contact resistance on the measurement results.
Clean contact surface: Keep the contact surface between the battery electrode and the fixture clean, remove dirt and oxides.

5. Measurement frequency and time:
Communication measurement frequency: Select the appropriate communication measurement frequency based on the characteristics of the battery and the measurement purpose.
Measurement time: Control the measurement time to avoid changes in battery performance caused by prolonged measurement.

6. Data analysis and processing:
Repetitive measurement: Conduct multiple measurements and take the average to improve the reliability of the measurement results.
Outlier handling: Analyze and process outliers in measurement data to determine if they are measurement errors.
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