Charging path planning method and device for electric automobile

Abstract

The invention discloses a charging path planning method and device for an electric automobile to solve the problem that emergency charging is required during a trip process of an electric automobile user. The method considers real-time dynamic energy consumption during driving. The method mainly includes the following steps: calculating an average energy consumption value of the electric automobile under various driving working conditions according to historical driving working condition data of the electric automobile; calculating dynamic remaining electric quantity after the electric automobile passes through each road section according to a real-time driving working condition dynamic state of each road section during the driving; calculating user trip distance, trip time and charging cost based on real-time traffic information published by the Internet and information published by a charging station operation monitoring system; and planning a charging path of the electric automobileby employing an ant colony algorithm, under constraint of battery remaining electric quantity, and taking optimal sum of the trip distance, the trip time and the charging cost as an aim.

Description

technical field [0001] The present invention relates to the field of electric vehicle charging path planning, in particular to a method and device for electric vehicle charging path planning. Background technique [0002] With the rapid development of my country's economy, the demand for automobiles continues to grow, and the resulting energy shortage and environmental pollution problems are more urgent. In order to meet the needs of cities for energy conservation and emission reduction, and to enhance people's awareness of environmental protection, it is necessary to rapidly develop the new energy vehicle industry. Among them, perfect charging facilities are an important guarantee for the development of the new energy vehicle industry. However, the current growth scale of new energy vehicles is much higher than the growth scale of the number of charging piles, the gap between vehicle piles is still expanding, and fast charging on the road is still the main factor restricti...

AI Technical Summary

Problems solved by technology

However, the current growth scale of new energy vehicles is much higher than the growth scale of the number of charging piles, the gap between vehicle piles is still expanding, and fast charging on the road is still the main factor restricting the development of charging vehicles. Insufficient remaining mileage, long charging time, etc., it is necessary to actively build an intelligent service platform for new energy vehicle charging under real-time information, to promote the two-way interaction of energy and information between electric vehicles and charging facilities, and to provide electric vehicle users with route planning, charging Guidance and other services

[0003] At present, research on electric vehicle charging guidance strategies at home and abroad often only considers the static road network environment, ignoring the impact of the time-varying traffic environment on the power consumption of electric vehicles in actual situations. Therefore, how to use a simple, clear and effective way of thinking The method of providing electric vehicle owners with real-time power consumption during driving, so as to choose the best charging path is one of the important issues facing the electric vehicle charging industry at present.

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