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Battery life prediction method based on measured big data and artificial intelligence learning algorithm

A technology of battery life and artificial intelligence, applied in the direction of measuring electricity, measuring electrical variables, calculation, etc., can solve the problems of large prediction deviation and low prediction result accuracy

Active Publication Date: 2020-11-17
上海安趋信息科技有限公司
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is: the existing battery life prediction method has large prediction deviation and low prediction result accuracy

Method used

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  • Battery life prediction method based on measured big data and artificial intelligence learning algorithm
  • Battery life prediction method based on measured big data and artificial intelligence learning algorithm
  • Battery life prediction method based on measured big data and artificial intelligence learning algorithm

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Embodiment Construction

[0037] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0038] as attached figure 1 As shown, a battery life prediction method based on measured big data and artificial intelligence learning algorithm includes the following steps:

[0039] The first step is to obtain real-time measurement data of the battery pack:

[0040] Each battery pack data collection device is connected to each corresponding operating target battery pack, and each battery pack data collection device collects...

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Abstract

The invention relates to a battery life prediction method based on measured big data and an artificial intelligence learning algorithm. According to the method, the artificial intelligence learning algorithm principle is applied to process measured parameters of a mass collected object battery pack, a model is automatically corrected in real time through big data modeling and the artificial intelligence learning algorithm, the model is gradually evolved to be an intelligent model capable of comprehensively reflecting the full-cycle life of a battery, and therefore the prediction precision of the life of the storage battery is improved. According to the method, an artificial intelligence learning algorithm is applied to processing of mass data of an object battery pack, a battery life prediction knowledge base is constructed, basic modeling rules and learning rules are established, a storage battery life prediction model is continuously perfected through training of big data, and an accurate prediction result is obtained in application.

Description

technical field [0001] The invention relates to a battery service life prediction technology, in particular to a battery life prediction method based on measured big data and artificial intelligence learning algorithms. Background technique [0002] The traditional method of battery life prediction is to obtain a sufficient amount of failure data through life tests, and predict its life based on statistical laws. However, with the continuous extension of battery life, the failure data obtained by short-term concentrated life tests are becoming more and more limited. In many cases, the life prediction method based on failure data is no longer applicable. [0003] The current mainstream life prediction based on battery performance is to study the model for evaluating battery performance based on the consideration of different factors affecting battery aging. According to the source of data information of the factors considered, it is mainly divided into three categories: data...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/392G01R31/396G01R31/3842G06K9/62
CPCG01R31/392G01R31/396G01R31/3842G06F18/24
Inventor 高新华
Owner 上海安趋信息科技有限公司
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