A charging scheduling method and system for electric vehicles based on benefit maximization

A scheduling method and technology for electric vehicles, applied in data processing applications, forecasting, instruments, etc., can solve problems such as unreasonable charging methods, and achieve the effect of alleviating demand pressure

Active Publication Date: 2021-08-06
SHENZHEN UNIV
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

Obviously, the current charging method is very unreasonable

Method used

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  • A charging scheduling method and system for electric vehicles based on benefit maximization
  • A charging scheduling method and system for electric vehicles based on benefit maximization
  • A charging scheduling method and system for electric vehicles based on benefit maximization

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Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041] See attached figure 1 , the embodiment of the present invention discloses a charging scheduling method for electric vehicles based on benefit maximization, which specifically includes the following steps:

[0042] S1: According to the collected road condition information, current vehicle information, nearby charging station information and the principle of benefit maximization, get the recommended charging station location for the user;

[0043] S2: Ac...

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Abstract

The invention discloses a charging scheduling method and system for electric vehicles based on benefit maximization, wherein the method includes S1: according to the collected road condition information, current vehicle information, information of nearby charging stations and the principle of benefit maximization, obtain the The location of the charging station; S2: According to the historical driving information of the vehicle and the principle of benefit maximization, obtain the charging power recommended for the user; S3: Perform charging according to the location of the charging station and the charging power. The electric vehicle charging scheduling method and system based on benefit maximization provided by the present invention can recommend the most suitable charging amount and charging location for users on the premise of maximizing global benefits, and can also increase charging stations when charging stations cannot meet user needs. Send mobile charging stations to relieve demand pressure.

Description

technical field [0001] The invention relates to the technical field of electric vehicle dispatching, and more specifically relates to a method and system for electric vehicle charging dispatching based on benefit maximization. Background technique [0002] With the continuous development of electric vehicle technology and the popularity of electric vehicles, how to rationally utilize the resources of existing charging service stations has become the focus of attention in the development of electric vehicle technology. Specifically, in different regions, such as: the city center and the suburbs, the utilization rate of charging service stations is quite different; at different times, leisure time and before morning and evening peak hours, the utilization rate of charging service stations is also very different. Moreover, most users go to a certain charging station to charge together during peak hours, and they don't stop until the vehicle is fully charged. Mass charging at t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06G06Q50/30G06N3/04
CPCG06Q10/06312G06Q10/04G06Q50/06G06Q50/30G06N3/045
Inventor 伍楷舜钟舒馨
Owner SHENZHEN UNIV
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