Mining lithium battery management system

By designing a mining lithium battery management system including data acquisition, feature processing, status prediction and charge and discharge equalization module, the safety hazards of overcharge and overdischarge in the existing system are solved, intelligent management and preventive maintenance of lithium batteries are realized, and the service life of the battery is extended.

CN119764621AActive Publication Date: 2025-04-04YULIN S&G COAL MINE MACHINERY
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Patent Information

Application Number
CN202510011754.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-05
Publication Date
2025-04-04
Estimated Expiration
2045-01-05

AI Technical Summary

Technical Problem

The existing mining lithium battery management system is prone to overcharge and overdischarge during use, which poses great safety hazards and is difficult to effectively manage large-capacity lithium-ion battery packs.

Method used

A lithium battery management system for mining is designed, including a data acquisition module, a feature processing module, a state prediction model and a charge and discharge equalization module. By collecting the working environment and battery status data of the lithium battery in real time, using neural networks to predict the status, and charging and discharging management is carried out based on the prediction results to prevent overcharge and overdischarge.

Benefits of technology

The system can effectively predict the future status of lithium batteries, discover potential problems in advance, prevent battery failures, reduce safety hazards, extend battery life, and improve the safety and stability of the battery pack.

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Abstract

The invention discloses a mining lithium battery management system, and belongs to the technical field of battery management. The feature processing module is used for obtaining the lithium battery database after coding and classification; the state prediction model is used for obtaining the lithium battery state prediction model through a neural network by using the data in the lithium battery database after coding classification, so that the prediction of the future state of the lithium battery is realized, and the future state of the lithium battery comprises the health state of the lithium battery; and the charging and discharging equalization module is used for carrying out charging and discharging management on the lithium battery according to the future state of the lithium battery, and if the health state of a certain battery monomer in the lithium battery is poor or the risk of excessive charging and discharging exists, the lithium battery is set to be in a working pause state or the lithium battery is controlled to be subjected to equalization processing. The risk can be reduced, and the service life of the mining lithium battery can be prolonged.
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