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Optimal classification electric vehicle charging state monitoring method

A charging state, electric vehicle technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of potential safety hazards and lack of in-depth data mining

Inactive Publication Date: 2018-11-23
GUANGDONG UNIV OF TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the monitoring platform realizes the visualization of data, it only collects the data actively reported by the BMS for cumulative statistics or trend statistics, and lacks in-depth data mining.
If the BMS does not report certain optional parameters, the charging pile will not stop charging, but will continue to charge, which poses a safety hazard

Method used

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  • Optimal classification electric vehicle charging state monitoring method

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Embodiment 1

[0029] One of the implementations of a method for monitoring the state of charge of an electric vehicle with optimized classification in the present invention, such as figure 1 shown, including the following steps:

[0030] Step A, respectively obtain the real-time BMS data of the car end during charging and the real-time BMS data of the charging pile end during charging;

[0031] Step B, storing the data obtained in step A to the charging management platform;

[0032] Step C, using the data stored in the charging management platform to establish a high-dimensional data model and perform nonlinear classification;

[0033] Step D, comparing the nonlinear classification result in step C with the actual fault result to obtain the relationship between classification and fault;

[0034] In step E, the system administrator adds the parameters of the communication protocol message used by the charging pile and the BMS during the charging process according to the nonlinear classific...

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Abstract

The invention relates to an optimal classification electric vehicle charging state monitoring method comprising the following steps: respectively obtaining vehicle-end real time BMS data in a chargingprocess and charging pile end real time BMS data in the charging process; storing the obtained data in a charging management platform; using the charging management platform stored data to build a high dimension data model, and carrying out non-linear classification; comparing the non-linear classification result with a real fault result so as to obtain a relation between the classification and the fault; allowing a system manager to increase communication protocol message parameters used by the charging pile and BMS in the charging process according to non-linear classification result or therelation between the classification and the fault. The monitoring method can acquire the real time data of the charging pile end, can acquire the vehicle-end real time data, can use a feature extraction method based on the non-linear optimal classification to analyze the data, and can real time monitor the health states of the power battery and the charging pile in the charging process, thus providing basis for diagnosing the power battery performance of the electric vehicle.

Description

technical field [0001] The invention relates to the technical field of power battery charging monitoring, in particular to a method for monitoring charging states of electric vehicles with optimized classification. Background technique [0002] Electric vehicles, as a green vehicle with broad development prospects, are popularized at an extremely rapid rate. With the promotion and application of electric vehicles, charging facilities such as charging and swapping stations are also gradually being built. However, the large-scale connection of charging facilities to the grid will bring load shocks to the grid, and have a non-negligible impact on the power quality, network loss, and equipment utilization of the grid. Electric vehicle charging characteristic data, mainly including initial charging time, initial state of charge and daily driving mileage, are very important for studying the impact of electric vehicle charging process on power distribution. necessary in At prese...

Claims

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Application Information

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IPC IPC(8): G01R31/36G01R31/00
CPCG01R31/00G01R31/3648
Inventor 周映虹刘剑彬陈斌吕国伟姚磊刘岩
Owner GUANGDONG UNIV OF TECH
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