Method of estimating operational driving range of all-electric buses

Abstract

The invention discloses a method of estimating operational driving range of all-electric buses. The method includes the steps of S1, building a line energy consumption model based on stop adjacent sections; S2, modeling for energy consumption of an all-electric bus by a fuzzy time sequence analysis algorithm; S3, deducting overall energy consumption of the stop adjacent sections; S4, predicting energy consumption of the stop adjacent sections or influencing factors of energy consumption by a weighted binary fuzzy set model; S5, after obtaining a weighted energy consumption predicted value, subtracting the weighted energy consumption predicted value by an energy consumption residue value to obtain energy consumption residue predicted value; S6, operating a first stop adjacent section available driving range, namely a half driving range, corresponding to the energy consumption residue predicted value not meeting a lowest energy consumption required value. Various factors influencing energy consumption of the all-electric bus are fully considered and quantitatively calculated, a current prediction algorithm focusing on battery residual energy is omitted, and a mathematical model comprehensively considering various factors is provided.

Description

technical field [0001] The invention relates to the technical field of bus operation, in particular to a method for estimating the mileage of pure electric bus operation. Background technique [0002] Although pure electric buses 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 are still in pilot operation. 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 methods for driving range rely on a more accurate estimation of SOC, which can be converted into a relatively accurate driving range. Therefore, the current research hotspots are focused...

AI Technical Summary

Problems solved by technology

[0002] Although pure electric buses have developed rapidly under the national energy conservation and emission reduction policies, due to the constraints of their driving range, it is still difficult to promote them on a large scale and are still in pilot operation

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