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Electric automobile market evolution analysis method based on multi-agent system

A multi-agent system and electric vehicle technology, applied in market data collection, marketing, etc., can solve the problems of products affecting users' car purchase decisions, lack of applicability, and inability to consider the impact of user decisions

Inactive Publication Date: 2017-07-18
SICHUAN UNIV
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AI Technical Summary

Problems solved by technology

Although this type of model has the advantages of simple modeling and less data requirements, the disadvantage is that it cannot consider the impact of user decisions, nor can it consider the heterogeneity of users.
In addition, the penetration of products in user-related groups and social dynamics will also significantly affect users' car purchase decisions, and traditional comprehensive models cannot handle these issues well.
In summary, the traditional comprehensive model is not applicable enough when analyzing the evolution trend of the electric vehicle market

Method used

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Embodiment Construction

[0061] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0062] In order to solve the above problems, the present invention provides a multi-agent system-based electric vehicle market evolution analysis method realized from the micro level. Firstly, based on the theory of consumer behavior, a decision-making behavior framework for car purchase is proposed; then, a comprehensive utility model is proposed that considers annual cost of ownership, technology maturity, social utility and environmental utility. Based on this, by improving the discrete choice logit model, Comprehensively considering the utility value of various aspects of automobile products and the impact of charging convenience index, a probability model of user car purchase behavior is proposed; finally, by cr...

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Abstract

The invention relates to an electric automobile market evolution analysis method based on a multi-agent system. According to the invention, a multi-agent technology is applied to the electric automobile market evolution analysis, an electric automobile scale evolution multi-agent model is constructed based on a consumer behavior theory, the year-by-year microscopic automobile-buying behavior of an individual user in an area is researched through simulation, and the macroscopic dynamic evolution process of the automobile market in the area is observed. According to the invention, the problem that in a conventional comprehensive model, heterogeneity between users cannot be taken into account, mutual influence of user automobile-buying decisions can be effectively brought into the model, and therefore the automobile market dynamic evolution process and the influencing factors can be reflected more actually.

Description

technical field [0001] The invention relates to the field of network information transmission, in particular to an electric vehicle market evolution analysis method based on a multi-agent system. Background technique [0002] Combined with the adjustment of energy structure and the construction of energy Internet, transportation electrification is one of the most promising measures to solve energy crisis and environmental problems. However, while the large-scale access of electric vehicles brings opportunities to the power system, it is bound to bring great challenges to all aspects of the power system. Therefore, it is particularly important to analyze the evolution characteristics of the electric vehicle market at different development stages, which is the basis for quantifying the impact of electric vehicle access on the power grid and guiding the planning and construction of charging and swapping facilities. As an emerging product in recent years, electric vehicles are ...

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0201
Inventor 向月杨威刘俊勇
Owner SICHUAN UNIV
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