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An Improved Characteristic Analysis Method of Electric Vehicle Charging Power Signal

An electric vehicle and feature analysis technology, applied in the direction of measuring electricity, measuring electrical variables, and electrical digital data processing, etc., to avoid layering errors, accurate type and positioning, and accurate analysis.

Active Publication Date: 2021-05-14
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +3
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide an improved electric vehicle charging power signal characteristic analysis method, which can make up for the defect that the existing FFT algorithm and Kalman filter algorithm cannot comprehensively analyze the characteristics of electric vehicle charging power signal

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  • An Improved Characteristic Analysis Method of Electric Vehicle Charging Power Signal
  • An Improved Characteristic Analysis Method of Electric Vehicle Charging Power Signal
  • An Improved Characteristic Analysis Method of Electric Vehicle Charging Power Signal

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0040] combine figure 1 Shown, method of the present invention mainly comprises the following steps:

[0041] Step 1: Collect electric vehicle charging voltage / current signal f(t);

[0042] Step 2: neural network method training the relevant parameters of wavelet transform;

[0043] The stratification parameter m will be calculated by the theoretical formula (1)(2) 0 , threshold parameter Ds 0 The initial value of is used as input, and a large amount of AC and DC charging data of electric vehicles are used for training, and the revised hierarchical parameter m and threshold parameter Ds are output.

[0044]

[0045]

[0046] Among them, fs is the sampling frequency; f 0is the greates...

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Abstract

The invention discloses an improved characteristic analysis method of electric vehicle charging electric energy signal. First, the neural network method is used to train the relevant parameters of the wavelet transform, so that the trained wavelet transform is more suitable for extracting the characteristics of the electric vehicle charging voltage transient signal; secondly, the neural network method is used to monitor the sudden rise (fall) point of the voltage / current signal in real time, Use wavelet transform to identify the signal characteristics at the voltage / current sudden rise (fall); finally, after eliminating the influence of abnormal signals such as unsteady waves and signal sudden rise (fall), use the Kalman filter algorithm to judge harmonics and interharmonics Signal characteristics such as content rate, frequency deviation, and three-phase unbalance. The invention can further improve the recognition accuracy of electric vehicle charging voltage / current transient signals and sudden rise (fall) signals on the basis of traditional wavelet transformation, and can further enhance the harmonic content of conventional Kalman filter algorithms under the influence of unsteady waves. The ability to detect power rate and three-phase voltage unbalance, so as to analyze the characteristics of electric vehicle charging power signal more comprehensively and reliably.

Description

technical field [0001] The invention relates to the analysis of electric vehicle charging power quality, in particular to an improved characteristic analysis method of electric vehicle charging power signal. [0002] technical background [0003] In recent years, as the global energy crisis has become more and more serious, the issue of alternative energy and energy sustainable development is imminent, and electric energy has become the first choice of many countries due to its clean and renewable energy advantages. At present, pure electric vehicles have begun to enter the market through industrialization, and the supporting electric vehicle chargers have also been mass-produced and constructed. [0004] The charger of the electric vehicle charging station is a new type of high-power non-linear equipment. Too intensive centralized charging may cause the instantaneous load of the charging station to be too large, causing the voltage / current signal to rise (drop) frequently du...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/14G01R31/00
CPCG01R31/00G06F17/148
Inventor 刘建田正其徐晴周超祝宇楠欧阳曾恺王立辉
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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