Storage battery charge state edge calculation optimization detection method of adaptive prediction model

A technology of adaptive prediction and edge computing, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve problems such as inability to apply to different workload scenarios, improve the convergence speed and prediction accuracy, and improve the utilization of data resources. efficiency, easy to carry

Inactive Publication Date: 2019-08-13
SHENZHEN JIANGXING INTELLIGENCE INC
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Problems solved by technology

[0003] In order to solve the problem that the existing battery state of charge SOC calculation method in the background technology cannot be applied to different workload scenarios, the present invention provides an adaptive prediction battery state of charge SOC edge calculation composed of multiple prediction models Optimize detection method

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  • Storage battery charge state edge calculation optimization detection method of adaptive prediction model
  • Storage battery charge state edge calculation optimization detection method of adaptive prediction model
  • Storage battery charge state edge calculation optimization detection method of adaptive prediction model

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[0022] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0023] refer to figure 1 As shown, the present invention discloses a method for adaptively predicting the SOC edge computing optimization detection method of battery state of charge combined with three prediction schemes, including:

[0024] S1, install some temperature sensors on the battery pack;

[0025] S2. According to a certain ...

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Abstract

The invention provides a storage battery charge state edge calculation optimization detection method of an adaptive prediction model. The method comprises the following steps of: 1) acquiring relevantdata information of a storage battery pack at a certain time interval, and transmitting and storing the information to an edge calculation container, wherein the data information comprises voltage, current and temperature; 2) establishing an adaptive prediction model in the edge calculation container, wherein three prediction schemes are provided in the model, and the prediction schemes have different mathematical models; 3) selecting a prediction scheme of practical application according to selection conditions of the prediction schemes; and 4) using the data information as the input of themathematical model of the selected prediction scheme, and performing calculation to obtain a charge state of the storage battery. The storage battery charge state edge calculation optimization detection method provided by the invention has the advantages of considering multiple prediction models, and being simple in structure and convenient to carry and the like, is a very effective means for state monitoring, quality inspection and life prediction of the storage battery, and has an important guiding role for the management and maintenance of the storage battery.

Description

technical field [0001] The invention relates to the field of storage batteries, in particular to an edge calculation optimization detection method for self-adaptive prediction of storage battery state of charge SOC composed of multiple prediction models. Background technique [0002] SOC calculation is an important function of battery management, and its calculation needs to be based on the degree of deterioration. The battery discharge capacity is mainly affected by the passivation mechanism, which is related to many factors such as battery degradation mode, degradation degree, discharge rate and battery temperature. Therefore, the calculation of SOC is a typical dynamic nonlinear problem. Usually, the battery management system (BMS) has huge data resources, but the redundant data of oversupply has not been utilized, and the SOC of the state of charge has not been accurately estimated; most of the existing SOC calculation methods of the battery state of charge are based on ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367G01R31/3842G01R31/388
CPCG01R31/367G01R31/3842G01R31/388
Inventor 刘江川樊小毅庞海天张聪杨洋邵俊松
Owner SHENZHEN JIANGXING INTELLIGENCE INC
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