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Charging mode selection method based on multi-objective optimization for electric private car

A multi-objective optimization and charging mode technology, applied in the field of electric private vehicle charging mode selection, can solve the problems of ignoring statistical regularity, time and space random characteristics, too many assumptions, and not considering the impact of battery life.

Inactive Publication Date: 2014-10-29
SHANDONG UNIV
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Problems solved by technology

However, the current research is only a qualitative analysis of the three charging modes, usually with many assumptions, ignoring the statistical laws of the operation of a large number of vehicles and the random characteristics in time and space, and not considering the impact on battery life

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  • Charging mode selection method based on multi-objective optimization for electric private car
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  • Charging mode selection method based on multi-objective optimization for electric private car

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Embodiment Construction

[0140] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0141] 1. Electric vehicle charging load modeling under different charging modes

[0142] The electric vehicle charging load calculation model is the basis for the study of electric vehicle charging, which is of great significance to the planning and safe operation of the power system. The demand for charging power of electric vehicles is affected by the scale of electric vehicles, electricity price system, battery characteristics, operating characteristics of electric vehicles, and charging modes.

[0143] Probability distribution of daily mileage x

[0144] Private cars are mainly used for daily commuting, shopping, schooling, community activities, etc., which are characterized by extremely random driving, short mileage, and long parking time. According to a large amount of statistics, the daily mileage x of a private car satisfies the lognormal dis...

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Abstract

The invention discloses a charging mode selection method based on multi-objective optimization of an electric private car. The method comprises the following steps: considering the electric car size, electricity price system, battery features, operation characteristics of the electric car, charging mode and other factors to build a charging load model for the electric car under different charging modes; building a charging mode selection multi-objective model of the electric car according to three factors, namely, the influence of different charging modes on a power grid, overall cost for one charging of the electric car, the cycle life of a power battery; determining multi-objective functional coefficient; solving the pareto optimal of the multi-objective functions by the genetic algorithm, so as to obtain the optimal combination mode of energy supply of the electric car. With the adoption of the method under typical daily load curve of national grid in summer, the valley-to-peak difference of the system, the use cost, the convenience, the cycle life of the battery and the like reach the comprehensive optimal by the charging mode that takes general charging as the major and battery replacing as the second.

Description

technical field [0001] The invention relates to a method for selecting a charging mode of an electric private car based on multi-objective optimization. Background technique [0002] Electric Vehicle (EV) replaces oil with electricity and has the advantages of high energy utilization efficiency, less exhaust emissions, and low noise. It is one of the important means to solve energy and environmental problems. Since the financial crisis in 2008, countries around the world have increased their support for the development of the electric vehicle industry, hoping to take the lead in the development of a new generation of energy-saving and environmentally-friendly vehicles while alleviating the environmental pressure brought by fossil fuels. The Obama administration of the United States implements the Green New Deal, regards electric vehicles as a core component of the national energy strategy, and plans to popularize 1 million plug-in hybrid electric vehicles by 2015. Japan reg...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 张承慧商云龙崔纳新孙波
Owner SHANDONG UNIV
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