New energy automobile remaining mileage dynamic prediction method and system, terminal and medium

A new energy vehicle, dynamic prediction technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of difficult new energy vehicles, calculation, complex calculation process, etc., to improve the prediction accuracy and improve the prediction accuracy. Effect

Pending Publication Date: 2021-11-23
XIJING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the calculation of the remaining mileage of new energy vehicles mainly includes: (1) The remaining mileage is obtained by analyzing and calculating the output voltage, current and other parameters of the power module. It is difficult to perform stable and reliable calculations in new energy vehicles; (2) By making statistics on the remaining power of the power module and solving the energy consumption per unit mileage of the future driving section based on historical driving data, the remaining mile

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0050] Example one

[0051] according to figure 1 As shown, this embodiment provides a new energy vehicle remaining mileage dynamic prediction method, including the following steps:

[0052] step one

[0053]Select the preset cycle, and get the actual mileage and the remainder of the new energy vehicle in the history recent preset cycle, and then calculate the power consumption coefficient according to the actual mileage and the remainder of the residual power consumption, and the power consumption The calculation formula of the coefficient is:

[0054]

[0055] Among them, β represents the power consumption coefficient, T represents the preset cycle, D 0T Represents the remaining electricity value of the preset cycle start time, D T0 The remaining electricity value indicating the timing of the preset cycle, V (t) represents the actual travel speed of the T time, and L represents the preset mileage range;

[0056] Step 2

[0057] Select the preset mileage range to get real-time pos

Example Embodiment

[0074] Example 2

[0075] according to figure 2 As shown, this embodiment provides a new energy vehicle remaining mileage dynamic prediction system, including coefficient computing modules, information acquisition modules, distribution prediction modules, power prediction modules, cyclic logic modules, and mileage prediction modules, where coefficient computing modules are used to get Predict the actual mileage and the remainder of the new energy vehicle in a history recent preset cycle, and calculate the power consumption coefficient according to the actual mileage and the remainder consumption; the information acquisition module is used to obtain new energy vehicles to be predicted. Real-time positioning information, and collects the number of new energy vehicles to be predicted within the preset mileage in the preset mileage, and the number of red green lights on the number of reference vehicles to be taken to travel by real-time positioning information, and the number of traffic

Example Embodiment

[0076] Example three

[0077] This embodiment provides a computer terminal, including a memory, a processor, and a computer program stored in a memory and can run on a processor, and a processor performs a program. The process of implementing the method.

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Abstract

The invention discloses a new energy automobile remaining mileage dynamic prediction method and system, a terminal and a medium. The method comprises the following steps: calculating to obtain an electric quantity consumption coefficient, calculating to obtain a predicted average speed, calculating to obtain electric quantity predicted consumption of a to-be-driven route in a current preset period, repeatedly calculating the electric quantity predicted consumption in a next preset period, and calculating to obtain a residual mileage predicted value; according to the invention, the road condition analysis is carried out on the to-be-driven route in the preset period, and the electric quantity prediction consumption calculation is carried out according to the quantity consumption coefficient related to the driving speed and obtained by analyzing the driving information of the just-finished driving, the total mileage of the target vehicle capable of completing driving in the corresponding preset period is taken as the residual mileage prediction value, so that the problem of inaccurate mileage statistics when the residual electric quantity is small is avoided, the road condition of the to-be-driven road section is considered, and the prediction accuracy of the residual mileage is effectively improved.

Description

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Claims

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Application Information

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Owner XIJING UNIV
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