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Battery pack sorting method and device based on neural network and electronic equipment

A neural network and neural network model technology, applied in the field of battery group selection, can solve the problem of low accuracy of battery group selection, achieve the effect of improving accuracy and simplifying the process

Pending Publication Date: 2022-03-11
GEM CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, it is necessary to provide a neural network-based battery pack selection method, device, electronic equipment and computer-readable storage medium to solve the problem of low accuracy of battery pack selection in the prior art

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  • Battery pack sorting method and device based on neural network and electronic equipment
  • Battery pack sorting method and device based on neural network and electronic equipment
  • Battery pack sorting method and device based on neural network and electronic equipment

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Embodiment Construction

[0034] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and together with the embodiments of the present invention are used to explain the principle of the present invention and are not intended to limit the scope of the present invention.

[0035] The present invention provides a neural network-based battery pack selection method, device, electronic equipment, and computer-readable storage medium, which will be described in detail below.

[0036] figure 1 It is a schematic diagram of the application scenario of the neural network-based battery pack selection device provided by the present invention, the system may include a server 100, and the neural network-based battery pack selection device is integrated in the server 100, such as figure 1 server in .

[0037] In the embodiment of the present invention, the server 100 is mai...

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Abstract

The invention relates to a battery pack sorting method and device based on a neural network, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining internal parameters of a battery, and generating a data set according to the internal parameters of the battery; constructing a neural network model, and training the neural network model by using the data set to obtain a completely trained neural network model; and obtaining a to-be-sorted battery, and obtaining a sorted battery according to the to-be-sorted battery and the completely trained neural network model. According to the battery pack sorting method based on the neural network, the battery pack sorting process is simplified, and the battery pack sorting accuracy is improved.

Description

technical field [0001] The present invention relates to the technical field of battery group selection, in particular to a neural network-based battery group selection method, device, electronic equipment and computer-readable storage medium. Background technique [0002] With the rapid growth of the new energy industry, the amount of scrapped batteries is gradually increasing, and the recycling and utilization of batteries is imminent. Most of the recycling and utilization of batteries is to combine batteries in series and parallel to form a battery pack to ensure that the battery pack It is particularly important to have consistency in the performance of single cells. [0003] Existing battery group selection methods usually use characteristic curve methods and other testing methods, and also use charging and discharging single batteries to obtain charging and discharging curves, and determine the sorting standard according to the charging and discharging curves, so as to ...

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Application Information

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IPC IPC(8): G01R31/36G06N3/08
CPCG01R31/36G06N3/08
Inventor 许开华张宇平别传玉刘虹灵宋华伟张阳琳阳婕李晨威
Owner GEM CO LTD