Battery global temperature and pressure distribution monitoring system and method

By constructing a high-density distributed sensor network and performing multi-dimensional data fusion analysis, the problem of insufficient sensor density in the battery monitoring system was solved, enabling real-time monitoring of the temperature and pressure distribution across the entire battery domain and intelligent response to abnormal conditions, thereby improving the safety and reliability of the battery status.

CN120972001AInactive Publication Date: 2025-11-18SHENZHEN DASHEN SENSING TECH CO LTD
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Patent Information

Application Number
CN202511500391.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-21
Publication Date
2025-11-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing battery monitoring systems suffer from insufficient sensor density, making it difficult to comprehensively capture the temperature and pressure distribution inside the battery. This results in local anomalies being difficult to detect in a timely manner, threatening system safety, especially in large-scale battery pack applications.

Method used

A high-density distributed sensor network is constructed, and combined with multi-dimensional data fusion analysis and intelligent data processing algorithms, the battery surface and internal data are collected in real time through a flexible sensor array. Spatial distribution modeling and anomaly detection are performed to generate early warning information and respond accordingly.

Benefits of technology

It enables precise sensing of the temperature and pressure distribution across the entire battery domain, timely detection of local anomalies, and improves the safety and reliability of battery status monitoring. It is applicable to power batteries and energy storage systems.

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Abstract

The invention relates to the technical field of battery monitoring, and discloses a battery global temperature and pressure distribution monitoring system and method, and the system comprises a distributed sensing unit, a signal processing unit, a data analysis unit, an intelligent decision-making unit, a wireless communication module, and a man-machine interaction terminal. Battery temperature and pressure data are acquired through a high-density flexible sensor array, fine sensing is realized by combining multi-dimensional feature extraction and an anomaly detection algorithm, and a response strategy is generated by using a rule engine; the battery state can be comprehensively monitored, local abnormity can be captured in time, safety and reliability are improved, the method is suitable for the field of power batteries and energy storage systems, the problem that in the prior art, due to insufficient sensor arrangement density, monitoring of the internal state of the battery is not comprehensive is solved, and safety is improved. And the real-time monitoring of the global temperature and pressure distribution of the battery and the intelligent response of the abnormal state are realized.
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