Pure electric vehicle energy consumption optimal path planning method based on road information

Abstract

The invention discloses a pure electric vehicle energy consumption optimal path planning method based on road information. The method comprises the steps: collecting the road information and vehicle historical data; establishing a vehicle semi-physical semi-empirical energy consumption calculation model; dividing the vehicle energy consumption into three parts, namely running resistance overcomingenergy consumption, transmission system loss energy consumption and auxiliary system energy consumption, respectively modeling, establishing a vehicle semi-physical semi-empirical energy consumptioncalculation model, and estimating variable parameters in the energy consumption calculation model in combination with road information, elevation information and environmental information; predictinga vehicle speed v between road reference nodes based on a Markov method; setting reference nodes for different types of roads, and performing working condition prediction on road acceleration and deceleration sections by applying Markov chains respectively; and establishing an optimal energy consumption path planning model through an A * search algorithm in combination with the energy consumptioncost side cost. According to the method, the accurate energy consumption prediction and path planning model is established by utilizing rich traffic information, so that the accurate energy consumption prediction and energy consumption optimal path is provided.

Description

technical field [0001] The invention relates to the technical field of new energy vehicles, in particular to a road information-based optimal path planning method for energy consumption of pure electric vehicles. Background technique [0002] Pure electric vehicles have the advantages of low emission and low pollution, and their market share is getting higher and higher. However, due to long charging time, few charging stations, and limited mileage, pure electric vehicle drivers often have "range anxiety". How to provide accurate predicted energy consumption and improve the cruising range of pure electric vehicles to solve people's "mileage anxiety" problem has become the research direction of current automobile companies and universities. Many drivers will choose the appropriate route according to the destination, and judge whether they can reach the destination according to the remaining power of the car. Therefore, accurate energy consumption prediction and route plannin...

AI Technical Summary

Problems solved by technology

However, it is difficult for this method to take into account changes in driver behavior, and the accuracy is still not high

Images