Electric vehicle real-time charging scheduling method based on charging station comprehensive state prediction

An electric vehicle, comprehensive state technology, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as low vehicle owner satisfaction, large power grid load fluctuations, unreasonable scheduling methods and strategies, and achieve balanced resource utilization and mitigation. The effect of reducing power grid load fluctuations and improving vehicle owner satisfaction

Active Publication Date: 2020-06-05
杭州芯享科技有限公司
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AI Technical Summary

Problems solved by technology

Scheduling decisions are affected by comprehensive states such as the role of charging stations, idle states, and charging progress. The traditional real-time dispatching methods for electric vehicles do not comprehensively consider the impact of state changes and coupling relationships of charging stations on dispatching decisions, and only analyze or predict some states, which is easy Unreasonable scheduling methods and strategies lead to unbalanced electric vehicle charging demand and charging station supply, large grid load fluctuations, and low vehicle owner satisfaction.

Method used

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  • Electric vehicle real-time charging scheduling method based on charging station comprehensive state prediction
  • Electric vehicle real-time charging scheduling method based on charging station comprehensive state prediction
  • Electric vehicle real-time charging scheduling method based on charging station comprehensive state prediction

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Embodiment Construction

[0056] Such as figure 1 As shown, the solution of the electric vehicle real-time charging scheduling method based on the comprehensive state prediction of the charging station of the present invention includes the following steps:

[0057] The specific implementation steps of the inventive method are as follows:

[0058] (1) Prediction of charging station coupling

[0059] Obtain real-time data on the number of vehicles entering the charging station and the distance between electric vehicles and the charging station, and predict the coupling effect of the charging station.

[0060] ① Establish the interaction factors between charging stations and electric vehicles;

[0061]

[0062] Among them, ∑ is the summation symbol in the mathematical formula, D j (k) represents the average distance from the electric vehicle that chooses charging station j to charging station j at time k, D s,j (k) represents the distance between the electric vehicle s that chooses charging station...

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Abstract

The invention discloses an electric vehicle real-time charging scheduling method based on charging station comprehensive state prediction. The method comprises the following steps: establishing a charging station comprehensive state prediction model of a charging station function, an idle state and a comprehensive charging progress; based on the vehicle scheduling theory, taking the vehicle ownersatisfaction degree, the maximum charging station total income and the minimum power grid load total variance fluctuation as targets, establishing a multi-objective scheduling model, optimizing the model, and obtaining an optimal scheduling strategy, so an effective solution is provided for simultaneously reducing charging station utilization imbalance, improving vehicle owner satisfaction, improving charging station income and reducing power grid load fluctuation.

Description

technical field [0001] The invention belongs to the field of electric vehicle charging, and relates to a real-time scheduling method for electric vehicles based on comprehensive state prediction of charging stations. Background technique [0002] The electric vehicle charging scheduling problem is one of the basic problems in the field of electric vehicle charging research. The real-time charging scheduling of electric vehicles generally obtains real-time information such as charging stations, electric vehicles, and power grids, predicts the status of charging stations and guides electric vehicles with charging needs. to the optimally adapted charging station. Scheduling decisions are affected by comprehensive states such as the role of charging stations, idle states, and charging progress. The traditional real-time dispatching methods for electric vehicles do not comprehensively consider the impact of state changes and coupling relationships of charging stations on dispatch...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0631G06Q50/06
Inventor 周溪游何中杰王越胜张波涛杨碧姣
Owner 杭州芯享科技有限公司
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