A route scheduling method for electric vehicles with wireless charging via bus network

Abstract

The invention discloses a path scheduling method for electric vehicles that is wirelessly charged through a bus network. First, for a wireless charging system for electric vehicles based on a bus network, the problem of path scheduling for electric vehicles is formalized to maximize the total remaining energy of all electric vehicles. ; Then, for the route scheduling problem of electric vehicles assisted by the bus network without considering the conflict, the route scheduling algorithm is used to obtain the route allocation scheme of the electric vehicle; The scheduling algorithm obtains an allocation scheme between electric vehicles and charging sections or paths. The present invention simultaneously satisfies the time constraints and battery energy constraints of electric vehicle users; and shows advantages in maximizing total remaining energy and optimizing time costs.

Description

technical field [0001] The invention belongs to the technical field of wireless charging optimization and path optimization, and in particular relates to a path scheduling method for electric vehicles wirelessly charged through a bus network. Background technique [0002] The widespread application of electric vehicles can not only reduce carbon emissions, but also change the dependence of fuel vehicles on traditional oil resources to electricity resources. However, the adoption of electric vehicles faces many challenges. First of all, the energy limitation restricts the travel of electric vehicles, and large-scale charging stations require a lot of capital and land resources. Second, EV users always expect to arrive at their destination by specified deadlines, such as deadlines for attendance, appointments, and meetings, etc. At this time, it is impossible to require EV users to spend a lot of time charging their EVs. Further, traditional electric vehicle charging scheme...

AI Technical Summary

Problems solved by technology

However, in the wireless charging system, the path scheduling of electric vehicles faces the following problems: on the one hand, the path scheduling of electric vehicles must meet the deadline constraints and energy constraints, and the single-objective shortest path algorithm cannot directly solve the above problems; on the other hand, the electric vehicle It is necessary to go through a precise charging section during driving, so the choice of charging section will greatly affect the energy consumption and driving time of electric vehicles; further, if considering the same charging section, a bus can only charge one electric vehicle , then the dedicated charging section will affect the path scheduling of different electric vehicles, which makes the path scheduling problem of electric vehicles more complicated

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