Charging and battery swap station battery swap load prediction method based on LSTM and related components thereof

Abstract

The invention discloses an LSTM-based charging and battery swap station battery swap load prediction method and related components thereof, and the method comprises the steps: collecting the number ofhistorical battery swap vehicles of a charging and battery swap station, and selecting the number of battery swap vehicles in a preset period in a period of time and corresponding related variables as sample data; carrying out normalization processing on the sample data and then carrying out segmentation by adopting a sliding window algorithm to obtain training samples; training the LSTM model byusing the training sample to obtain a battery replacement vehicle number prediction model; and obtaining the number of the battery replacement vehicles in the specified period according to the battery replacement vehicle number prediction model, and obtaining the total battery replacement load corresponding to each vehicle in the specified period in combination with a state-of-charge probabilitydensity distribution function based on Gaussian distribution. According to the method, the power exchange vehicles in the specified period are predicted by using the power exchange vehicle number prediction model, and the power exchange load corresponding to each vehicle in the specified period is acquired in combination with the state-of-charge probability density distribution function, so that the influence of related variables on sample data is fully considered, and the prediction accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to an LSTM-based charging and swapping station load prediction method and related components. Background technique [0002] The charging and swapping station is an energy station that provides charging and quick replacement of the power battery of an electric vehicle. When charging the power battery, the battery is not loaded on the vehicle, but is charged on the charging rack. The quick replacement method of the power battery means that after the vehicle enters the charging station, the power battery of the vehicle is removed through the quick replacement device and replaced with another set of power batteries immediately. Accurately estimating the battery swapping load of electric vehicles can provide a basis for the orderly charging of charging and swapping stations, and can reduce the impact on the power grid, which has high economic efficiency. [0003] At present, ...

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Problems solved by technology

[0004] The purpose of the present invention is to provide an LSTM-based charging and swapping station switching load forecasting method and related components, aiming to solve the problems of low prediction accuracy and lack of consideration of relevant variables in existing charging and swapping station switching load forecasting methods

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