Data center battery health prediction and maintenance method

By capturing the load current step characteristics in the data center, calculating the ohmic and polarization impedance characteristic values, and establishing a hierarchical fault judgment logic, the problem of insufficient early warning of thermal runaway in the existing technology is solved, and accurate monitoring and safe intervention of the battery are realized.

CN122109879APending Publication Date: 2026-05-29CHANGTAI CLOUD TECH SERVICE (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHANGTAI CLOUD TECH SERVICE (SHENZHEN) CO LTD
Filing Date
2026-02-04
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively identify early electrochemical instability characteristics of batteries under float charging conditions in data centers, resulting in insufficient early warning of thermal runaway. This is mainly due to the total impedance being masked by ohmic impedance and the problem of thermal conduction hysteresis.

Method used

By capturing the step characteristics of load current, calculating the characteristic values ​​of ohmic impedance and polarization impedance, establishing a hierarchical fault judgment logic, prioritizing the identification of physical connection faults and terminating subsequent electrochemical analysis, and combining with the battery management system for targeted intervention, early warning of thermal runaway latency can be achieved.

Benefits of technology

It enables precise early warning of thermal runaway latency, improves the response efficiency of physical faults and the accuracy of electrochemical state analysis, and ensures the safe operation of data center battery systems.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of storage batteries, in particular to a data center storage battery health degree prediction and maintenance method, which comprises the following steps: in response to a load current step feature, calculating an ohmic impedance characteristic value and a polarization impedance characteristic value; preferentially comparing the ohmic impedance characteristic value with a preset physical fault threshold value, if the ohmic impedance characteristic value exceeds the preset physical fault threshold value, locking a physical connection fault and terminating subsequent determination, if the ohmic impedance characteristic value does not exceed the preset physical fault threshold value, analyzing the polarization impedance characteristic value, if a time series dispersion degree of the polarization impedance characteristic value exceeds a preset stability threshold value, marking an electrochemical instability state, calculating a difference value between a battery surface temperature rise rate and an environmental temperature rise rate, if the difference value is greater than a preset endogenous heat production threshold value and a current battery surface temperature is less than a preset overheating alarm threshold value, locking a thermal runaway incubation period; according to the locking result, respectively executing a mechanical maintenance operation or a loop blocking intervention operation. The application can strip the masked polarization feature through time domain decoupling, and realizes early and accurate early warning of the thermal runaway incubation period.
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