Fire response control method and system for lithium battery energy storage box
By constructing an anomaly monitoring model, based on the battery compartment layout information and real-time control data of the lithium battery energy storage box, multi-level fire response control data is generated, which solves the problem of inaccurate fire early warning for lithium battery energy storage boxes and achieves more precise fire management and safe operation.
CN116758712BActive Publication Date: 2026-01-06SUZHOU SHIDAIHUAJING NEW ENERGY LTD CO
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Patent Information
- Application Number
- CN202310752301.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-06-26
- Publication Date
- 2026-01-06
- Estimated Expiration
- 2043-06-26
AI Technical Summary
Technical Problem
In existing technologies, the fire alarm threshold settings for lithium battery energy storage boxes are simple and not precise enough, resulting in inaccurate and untimely fire alarms, which cannot prevent fire accidents in time.
Method used
By collecting information on the battery compartment layout, real-time control data, and temperature data of lithium battery energy storage boxes, an anomaly monitoring model is constructed to generate multi-level fire response control data for precise fire management.
Benefits of technology
It improved the accuracy of fire early warning and management efficiency, and ensured the safe operation of lithium battery energy storage boxes.
✦ Generated by Eureka AI based on patent content.
Abstract
The present disclosure provides a fire response control method and system for a lithium battery energy storage box, relating to the technical field of lithium batteries, which comprises: collecting battery compartment layout information of the lithium battery energy storage box; reading data of the lithium battery energy storage box to obtain real-time control data; laying out temperature collection devices through the battery compartment layout information; obtaining temperature data collection results; collecting historical detection data with time sequence identifiers; constructing a lithium battery feature data set of the lithium battery energy storage box; constructing an abnormality monitoring model; outputting abnormality warning level information; generating multi-level fire response control data; and managing the lithium battery energy storage box. The technical problem of inaccurate and timely fire warning of the lithium battery energy storage box and inability to avoid fire accidents in time due to the single and inaccurate setting of the warning threshold in the prior art is solved.
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