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Model generation and battery degradation speculation device and method, medium and equipment

A model generation and model technology, applied in the direction of measuring devices, measuring electricity, measuring electrical variables, etc., can solve the problem of inability to accurately predict the future deterioration of the battery

Active Publication Date: 2021-08-06
陈九廷 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the technical problem that the existing technology cannot predict the future deterioration degree of the battery with high accuracy

Method used

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  • Model generation and battery degradation speculation device and method, medium and equipment
  • Model generation and battery degradation speculation device and method, medium and equipment
  • Model generation and battery degradation speculation device and method, medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0087] like figure 2 Shown:

[0088] The present disclosure provides a model generation device, including:

[0089] The measured data acquisition module 110 is configured to acquire measured battery data, wherein the battery data refers to a data set including current, voltage and / or temperature;

[0090] The measured data storage module 120, configured to store the battery data obtained by the measured data acquisition module;

[0091] A training data acquisition module 130, configured to acquire training data for model training from the battery data;

[0092] A preprocessing module 140, configured to preprocess the training data;

[0093] Model training generation module 150, for utilizing the data processed by the preprocessing module to perform model training to obtain a trained model;

[0094] Model storage module 160, for storing the model trained by the model training generation module;

[0095] A model output module 170, configured to output the trained model to ...

Embodiment 2

[0133] like image 3 Shown:

[0134] The present disclosure also provides a battery degradation estimation device, including:

[0135] A model acquisition module 210, configured to acquire a trained model from the above-mentioned model generation device;

[0136] A model storage module 220, configured to store the model obtained by the model acquisition module;

[0137] A battery data acquisition module 230, configured to acquire battery data, wherein the battery data includes a data set including current, voltage and / or temperature;

[0138] A data storage module 270, configured to store the battery data acquired by the battery data acquisition module;

[0139] A calculation module 240, configured to calculate the battery degradation degree of the storage battery through the model acquired by the model acquisition module and the battery data;

[0140] The display processing module 250 and the display module 260 are used for processing and displaying the battery deteriorat...

Embodiment 3

[0159] like Figure 4 Shown:

[0160] The present disclosure also provides a model generation method, which is applied to the above-mentioned model generation device 10, including:

[0161] S110: Firstly, an initial matrix is ​​set, and all numbers in the matrix represent various parameters of the model stored in the model storage module 160 in the model generation device 10 .

[0162] S120: Using the set initial matrix, update the model stored in the model storage module 160 in the model generation device 10 to obtain an initial model.

[0163] S130: Utilize the measured data acquisition module 110 to obtain the battery 30 from the first moment (above-mentioned α i ) to the second moment (above α j ) battery charge and discharge battery data and stored in the measured data storage module 120; select a part of data from the battery data obtained by the training data acquisition module 130 as the training data for model training; Preprocessing: Input the processed input par...

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Abstract

The invention provides a model generation and battery degradation speculation device and method, a medium and equipment. The model generation device comprises a measured data acquisition module which is used for acquiring measured battery data, and the battery data comprise a battery data set of current, voltage and / or temperature; the device further comprises a measured data storage module which is used for storing the battery data acquired by the measured data acquisition module, a training data acquisition module which is used for acquiring training data for model training from the battery data, a preprocessing module which is used for preprocessing the training data, a model training generation module which is used for performing model training by utilizing the data processed by the preprocessing module to obtain a trained model, a model storage module which is used for storing the model trained by the model training generation module, a model output module which is used for outputting the trained model, and a model training parameter training module which is used for training parameters of model training in the model training generation module.

Description

technical field [0001] The present disclosure relates to the field of battery technology, and more specifically, the present disclosure relates to a device, method, medium and equipment for model generation and battery deterioration estimation. Background technique [0002] In recent years, storage batteries have been used in various occasions, and the first example is that storage batteries are used as power sources for vehicles and other vehicles. A second example is that batteries are used to temporarily store surplus electricity. [0003] When the battery is reused, it is very important to accurately calculate the degree of deterioration of the battery (hereinafter referred to as SOH). For example, Patent Document 1 describes the content of estimating the SOH at the second subsequent time point using the SOH of the storage battery at the first time point. Also, Patent Document 2 describes that the contents of the SOH at the second time point are estimated using time-se...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367G01R31/392G06F30/27
CPCG01R31/367G01R31/392G06F30/27G06F2119/02G06F2119/04
Inventor 陈九廷连源
Owner 陈九廷
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