Battery pack capacity detection system based on combined neural network

Abstract

The invention relates to a battery pack capacity detection system based on a combined neural network, which is characterized by comprising a battery pack capacity detection training system and a battery pack capacity detection work system. A combined neural network in the battery pack capacity detection work system is composed of a BP network detection unit and three ELM network detection units, wherein each neural network detection unit is acquired by the battery pack capacity detection training system through using sample data, and the neural network detection units are applicable to different ranges of capacity detection and carry out appropriate combination in application according to an intermediate result, thereby being capable of playing a role of taking advantages to offset disadvantages and optimizing a final detection result. When capacity detection is carried out on a battery pack to be detected, the BP network detection unit is used at first to carry out primary detection, and a range where the capacity of the battery pack to be detected is determined; and then the ELM network detection unit which is suitable for the range is selected to carry out secondary detection, thereby being capable of acquiring a more accurate detection result.

Description

technical field [0001] The invention belongs to the technical field of battery capacity detection, and relates to a battery pack capacity detection system that uses a combined neural network. Background technique [0002] The battery pack in the communication radio station is one of the key components to ensure the normal operation of the communication equipment. The performance and remaining capacity of the battery pack directly affect the performance of the radio station, which is related to the normal operation of the equipment and the smooth communication. [0003] The following problems exist in the use of communication station battery packs: maintain the battery packs with a lot of remaining charge or have not reached the maintenance cycle; continue to use the battery packs with poor charge performance or failure. The above problems will affect the cycle life of the battery pack and the normal use of the equipment. The existing technical means to detect the state of c...

AI Technical Summary

Problems solved by technology

[0005] The present invention proposes a battery pack capacity detection system based on a combined neural network, which is used to solve the detection problem of the remaining capacity of the battery pack of a communication station, thereby obtaining a more accurate detection result, and providing a guarantee for the performance and optimal use of the battery pack during work. A reliable detection technique

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