Prediction method for driving range of pure electric passenger vehicles

Abstract

The invention discloses a method of predicting driving range of all-electric passenger vehicles. The method includes the steps of S1, modeling by means of fuzzy clustering; S2, modeling for energy consumption of an all-electric passenger vehicle by a fuzzy time sequence analysis algorithm; S3, building a fuzzy time sequence model; S4, dividing energy consumption into super-high, high, normal, low and super-low states for description; S5, subjecting an influencing factor predicted value, deducted through a fuzzy time sequence, to weight similarity matching so as to obtain an energy consumption match value, and operating the energy consumption match value and a section energy consumption weight to finally obtain a weighted energy consumption predicted value; S6, subtracting the weighted energy consumption predicted value by an energy consumption residue value to obtain an energy consumption residue predicted value, and converting the energy consumption residue predicted value into a driving range; S7, ending the algorithm until the section energy consumption residue predicted value is smaller than or equal to a lowest energy consumption required value. By accurately predicting the driving range, the problem that predicting the driving range for all-electric passenger vehicles at preset can be solved.

Description

technical field [0001] The invention relates to the technical field of electric passenger vehicles, in particular to a method for predicting the driving range of pure electric passenger vehicles. Background technique [0002] Although pure electric passenger vehicles have developed rapidly under the national energy-saving and emission-reduction policies, due to the constraints of their driving range, it is still difficult to promote them on a large scale, and they are still in pilot operation, especially the current planning and implementation of charging stations. It is still difficult to meet the actual promotion requirements. The driving range is mainly limited by the battery capacity and operating conditions. In the current situation where battery technology energy storage and reliability are still difficult to achieve breakthroughs, researchers have proposed various methods for analyzing and evaluating the driving range. At the current stage, most of the estimation met...

AI Technical Summary

Problems solved by technology

[0002] Although pure electric passenger vehicles have developed rapidly under the national energy-saving and emission-reduction policies, due to the constraints of their driving range, it is still difficult to promote them on a large scale, and they are still in pilot operation, especially the current planning and implementation of charging stations. It is still difficult to meet the actual promotion requirements

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