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Data-Driven: Innovative Applications of Non-Contact Liquid Level Signals in Advanced BMS Diagnostics
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Data-Driven: Innovative Applications of Non-Contact Liquid Level Signals in Advanced BMS Diagnostics

Views: 0     Author: Site Editor     Publish Time: 2025-12-03      Origin: Site

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Breakthrough in Intelligent Management

Estimating the State of Charge (SOC) and State of Health (SOH) of flow batteries has always been challenging. Traditional voltage-current integration
methods suffer from cumulative errors, while capacitive non-contact level sensors, through external wall monitoring, provide a completely new data dimension for BMS.


Unique Value of Non-Contact Data

* Non-destructive Monitoring: Sensors acquire level data from outside the tank, completely avoiding the contamination risks associated with internal installation.

* Volume Correction: Accurate level-volume conversion provides a reliable capacity benchmark for SOC estimation.

* Trend Analysis: Long-term monitoring of level change trends provides crucial information for SOH assessment.


Key Technology Implementation

* High-Precision Measurement: Utilizing sensors with an accuracy of ±1mm ensures data reliability.

* Temperature Compensation: Built-in temperature compensation algorithm eliminates the influence of ambient temperature.

* Intelligent Filtering: Employing digital filtering technology to eliminate spurious signal interference.


System Integration Advantages

* Seamless Integration with Existing BMS Systems

* Supports Multiple Communication Protocols such as 4-20mA and IO-Link

* Provides Complete Software Development Interface


Conclusion

Non-contact level monitoring provides a new technological path for flow battery management, significantly improving the system's intelligence level through multi-data fusion analysis.

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