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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