Comparison and interpretation of three common sampling methods for battery management systems (BMS)

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Comparison and interpretation of three common sampling methods for battery management systems (BMS) [Copy link]

Sampling is a key step for BMS to obtain battery pack information, and its accuracy and reliability directly affect the overall performance of BMS.

Sampling method classification

BMS sampling methods can be mainly divided into the following categories:

1. Single point sampling

Features: Each battery cell has only one sampling point to collect information such as voltage, current or temperature of the cell.

Advantages: simple structure and low cost.

Disadvantages: Low accuracy, unable to effectively reflect the differences within battery cells.

2. Multi-point sampling

Features: Multiple sampling points are set on each battery cell to collect information such as voltage, current or temperature internal resistance at different positions.

Advantages: High accuracy, can effectively reflect the differences within battery cells.

Disadvantages: complex structure and high cost.

3. Distributed Sampling

Features: The sampling circuits are distributed at various locations of the battery pack to collect information from different areas of the battery pack.

Advantages: high precision and good reliability.

Disadvantages: complex structure and high cost.

Comparison of technical indicators of different sampling methods

Factors affecting sampling accuracy

Sampling accuracy is affected by many factors, including:

• Number and location of sampling points: The more sampling points and the more evenly distributed they are, the higher the accuracy.
• Accuracy of sampling circuit: The higher the accuracy of the sampling circuit, the more accurate the collected data.
• Performance of filtering and amplifying circuits: Filtering and amplifying circuits can remove noise and amplify signals to improve sampling accuracy.
• Resolution of A/D converter: The higher the resolution of the A/D converter, the finer the analog signal can be converted into a digital signal, improving the sampling accuracy.

Methods to improve sampling reliability

Sampling reliability can be improved by:

• Redundant design: For critical sampling circuits, redundant design can improve system reliability.
• Self-diagnosis function: The self-diagnosis function can detect faults in the sampling circuit and give an alarm in time.
• Calibration and Maintenance: Regular calibration and maintenance of the sampling system can ensure the accuracy and reliability of the system.

木犯001号

In what scenarios are these three sampling methods used?

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Posted by Mufan001 on 2024-5-23 16:36 In what scenarios are these three sampling methods used?

木犯001号

qwqwqw2088 posted on 2024-5-23 17:53

Thank you~~ I understand~~