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Multi-source data based auxiliary decision optimization method for charging of electric vehicle

A technology for electric vehicles and optimization methods, applied in the direction of electric vehicle charging technology, electric vehicles, secondary battery charging/discharging, etc., can solve problems such as restricting the development of electric vehicles

Active Publication Date: 2016-12-07
TAIYUAN UNIV OF TECH
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Problems solved by technology

Due to the characteristics of electric vehicles, most individual users still use plug-in charging except for public service vehicles, which take a certain amount of time to charge. In addition, considering the rapid development of the number of electric vehicles, the charging stations built There are certain restrictions on charging piles, so in some cases, users need to wait in line after arriving at the charging station. Too long waiting and charging time may limit the development of electric vehicles

Method used

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  • Multi-source data based auxiliary decision optimization method for charging of electric vehicle
  • Multi-source data based auxiliary decision optimization method for charging of electric vehicle

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Embodiment Construction

[0017] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0018] Refer to attached figure 1 :

[0019] Box 1: According to the GPS positioning information and destination information obtained by the navigation system, determine the location of all surrounding electric vehicle charging stations, and use the navigation system to determine the path from "current location -> charging station -> destination". According to the road congestion obtained by the traffic flow management system, combined with the optional route information obtained by the navigation system, the shortest path search algorithm with the road congestion as...

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Abstract

The invention relates to an auxiliary decision optimization method for charging of an electric vehicle, in particular to a multi-source data based auxiliary decision optimization method for charging of the electric vehicle. By integral optimization on multi-source data, an optimal charging scheme of the electric vehicle is acquired, meanwhile, the effects of relieving traffic jam, reducing difference between peak and valley of a power grid and maximizing benefit of an electric vehicle owner are achieved, the optimization effect of the electric vehicle is developed on each aspect of the society to the greatest extent, and the auxiliary decision optimization method for charging of the electric vehicle has a good prospect.

Description

technical field [0001] The invention relates to an electric vehicle charging auxiliary decision-making optimization method, in particular to an electric vehicle charging auxiliary decision-making optimization method based on multi-source data. Background technique [0002] With the rapid development of electric vehicle technology, it is welcomed by more and more people due to its less pollution and low operating cost, and the market share of electric vehicles is increasing. With the development of electric vehicles, electric vehicle charging stations are gradually being built. With the reform of the power system, in order to reduce the congestion of the power system and adjust the peak-to-valley power difference, the price of electricity at each time and node in the power system will be different, so the charging cost of electric vehicles at different times and different charging stations will be different. Due to the characteristics of electric vehicles, most individual us...

Claims

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Application Information

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IPC IPC(8): H01M10/44B60L11/18
CPCB60L53/64H01M10/44Y02E60/10Y02T10/70Y02T10/7072Y02T90/12Y02T90/14Y02T90/16
Inventor 贾燕冰韩肖清王英王鹏秦文萍
Owner TAIYUAN UNIV OF TECH
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