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An optimization method for electric vehicle charging scheduling based on ant colony algorithm

A technology for electric vehicles and optimization methods, applied in electric vehicle charging technology, calculation, calculation model, etc., can solve the problems of long charging time, unreasonable configuration of charging facilities, and inability to continue driving long distances.

Active Publication Date: 2021-05-18
ZHEJIANG UNIV OF TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, compared with traditional energy vehicles, electric vehicles also have their shortcomings, such as the inability to continue driving for a long distance, long charging time, and unreasonable configuration of related charging facilities.

Method used

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  • An optimization method for electric vehicle charging scheduling based on ant colony algorithm
  • An optimization method for electric vehicle charging scheduling based on ant colony algorithm
  • An optimization method for electric vehicle charging scheduling based on ant colony algorithm

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Embodiment Construction

[0093] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0094] refer to figure 1 and figure 2 , an optimization method for electric vehicle charging scheduling based on the ant colony algorithm, in other words, an ant colony algorithm is used to optimize the charging scheduling of electric vehicles. The present invention is based on a simplified road network model (such as figure 1 As shown in ), path selection and pheromone update are performed by ant colony algorithm, and finally the optimal path for charging is provided. The invention is aimed at electric vehicles that are in urgent need of charging. According to the energy of the remaining battery of the electric vehicle, the state information of the electric vehicle and the congestion of the road in the road network model, an ant colony algorithm is proposed to obtain the optimal charging station and charging path. The scheduling optimization method inclu...

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Abstract

A charging scheduling optimization method for electric vehicles based on the ant colony algorithm, comprising the following steps: 1) When the electric vehicle is at a low power level, the user first sends a charging request to the server, and the server will first collect the battery data of the electric vehicle after receiving the request. The remaining energy, air conditioner status, the current location of the electric vehicle and the distribution of surrounding charging stations, and the surrounding road congestion should also be referred to; 2) The gridded road, the electric vehicle charging scheduling problem can be described as an optimization problem; 3) For this problem model, we use the ant colony algorithm to select the appropriate target charging station for the electric vehicle and the optimal driving path to the target charging station; The information of the optimal path is sent to the user. The invention improves the charging efficiency of the electric vehicle and provides users with a more intelligent charging path planning solution.

Description

technical field [0001] The invention relates to the field of electric vehicle charging scheduling and driving path optimization, in particular to an electric vehicle charging scheduling optimization method based on an ant colony algorithm. Background technique [0002] The traditional energy consumption rate is very fast and the regeneration rate is very slow, and at the same time, the pollution to the environment is very large. In recent years, people have been exploring in the field of green travel, and electric vehicles are one of the representatives. Electric vehicles are powered by batteries instead of traditional energy sources. Due to the high energy efficiency, zero pollution, and low noise of electric vehicles, the number of electric vehicles on the market has been increasing. However, compared with traditional energy vehicles, electric vehicles also have their shortcomings, such as the inability to continue driving for long distances, long charging time, and unrea...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/00
CPCY02T90/167Y04S30/12
Inventor 钱丽萍周欣悦黄玉蘋吴远
Owner ZHEJIANG UNIV OF TECH
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