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Driving range prediction method, device and equipment

A technology of driving range and prediction method, which is applied in transportation and packaging, electric vehicles, control drive, etc., can solve problems such as inaccurate calculation of driving range, and achieve the effect of improving prediction accuracy and prediction accuracy

Active Publication Date: 2018-09-21
BEIJING ELECTRIC VEHICLE
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Problems solved by technology

[0003] In order to solve the above technical problems, the present invention provides a method, device and equipment for predicting the driving range, which solves the problem of inaccurate calculation of the driving range

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  • Driving range prediction method, device and equipment
  • Driving range prediction method, device and equipment
  • Driving range prediction method, device and equipment

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Embodiment Construction

[0049] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0050] Such as figure 1 As shown, the embodiment of the present invention provides a kind of mileage prediction method, comprising:

[0051]Step 11. Divide effective travel segments from the valid data in the Internet of Vehicles pool, and analyze and extract relevant characteristic signals. The effective travel segments refer to driving segments whose driving speed is greater than zero;

[0052] In this embodiment, the valid data refers to th...

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Abstract

The invention discloses a driving range prediction method, a device and equipment. The driving range prediction method comprises the steps of dividing an effective travel segment from valid data in anInternet of Vehicle pool, and analyzing and extracting relevant feature signals, wherein the effective travel segment refers to a driving segment in which a vehicle traveling speed is greater than zero; calculating and obtaining a plurality of feature indexes according to the feature signals; constructing a regression model of the feature indexes, training the regression model by using data of the feature signals, and obtaining weight values of the feature indexes; constructing a driving range calculation formula according to the weight values; substituting attempt values of the feature indexes into the driving range calculation formula to obtain a driving range. The driving range prediction method performs model training based on a large amount of historical data, and extracts the most relevant feature values which affect the driving range, thereby improving the prediction accuracy and improving the prediction precision.

Description

technical field [0001] The invention relates to the field of calculating the driving range of an electric vehicle, in particular to a method, device and equipment for predicting the driving range. Background technique [0002] During the actual operation of pure electric vehicles, the mileage of the battery will be affected by various environmental factors, and the existing mileage calculation method only predicts the power consumption per 100 kilometers without considering the current environment and usage conditions and other factors The impact on the mileage, and the existing mileage calculation method does not carry out model training for a large amount of data, and the calculation accuracy is not high, resulting in a large deviation between the remaining mileage perceived by the customer and the actual mileage. Contents of the invention [0003] In order to solve the above technical problems, the present invention provides a method, device and equipment for predicting...

Claims

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Application Information

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IPC IPC(8): B60L15/20
CPCB60L15/20B60L2260/52Y02T10/72
Inventor 郑楠黄殿辉张友焕尹颖
Owner BEIJING ELECTRIC VEHICLE
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