Electric vehicle charging guiding and path planning method based on mutual-help travel system

Abstract

The invention belongs to the field of electric vehicle charging scheduling, and particularly relates to an electric vehicle charging guiding and path planning method based on a mutual-help travel system. The method comprises the following steps: acquiring EV user real-time information, traffic network path information, charging station service information and other mutual assistance EV user information; using a central control terminal of the mutual-help travel system to recommend an optimal charging station and an initial path; before the EV user reaches a next node, using the central control terminal to recalculate the optimal path according to real-time information; and when every time one node arrives, enabling the EV user to drive according to the updated guiding strategy and finally arrive at the charging station for charging. According to the method provided by the invention, real-time dynamic road condition information, charging service information and EV mutual assistance information are fused, the EV user is ensured to arrive at the charging station for charging under the constraint of a remaining SOC, path selection and optimization and updating of a guiding strategy are continuously carried out, and the total time cost of the EV user is reduced.

Description

technical field [0001] The invention belongs to the field of electric vehicle charging dispatching, and in particular relates to a charging guidance and path planning method for electric vehicles based on a mutual assistance travel system. Background technique [0002] The large-scale popularization of electric vehicles (Electric vehicle, EV) has become a trend, but the limitation of battery capacity brings mileage anxiety to EV users, so an effective charging path guidance strategy is adopted to plan the best driving path for electric vehicles and reasonably recommend charging stations , is a necessary means to reduce the impact of battery capacity on the travel of EV users. [0003] The current research does not consider the real-time information interaction between EVs and central dispatching systems (such as traffic management center systems, taxi company vehicle dispatching systems, bus company vehicle dispatching systems, etc.) Mutual assistance information centrally ...

AI Technical Summary

Problems solved by technology

[0005] (2) In the current technology, when planning the charging path, generally only the length of the path to the charging station and the length of the path are considered, and the waiting time of the charging station cannot be considered.

And the current service information provided on the charging APP is only the location of the charging station, the number of charging piles, and how many charging piles are idle, but the number of vehicles queuing up at the charging station is unknown.

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