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Electric vehicle parc prediction method based on multivariate linear regression method and proportional substitution method

A multiple linear regression, electric vehicle technology, used in forecasting, data processing applications, calculations, etc., can solve limitations, singleness and other problems, and achieve the effect of correcting limitations

Inactive Publication Date: 2016-08-17
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0004] At present, for the research on the number of electric vehicles, there are mainly methods such as the elastic coefficient method, the number of thousand people method, the use of Logistic model modeling, gray system theory modeling and Bass model prediction, etc., but most of them use a single method to estimate the development scale of electric vehicles. Forecasting, there are problems such as singleness and limitations

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  • Electric vehicle parc prediction method based on multivariate linear regression method and proportional substitution method
  • Electric vehicle parc prediction method based on multivariate linear regression method and proportional substitution method
  • Electric vehicle parc prediction method based on multivariate linear regression method and proportional substitution method

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Embodiment Construction

[0036] The embodiments will be described in detail below in conjunction with the accompanying drawings.

[0037] The present invention proposes a method for predicting the ownership of electric vehicles based on multiple linear regression and proportional substitution method, such as figure 1 As shown, on the basis of considering the relationship between social and economic development, policy factors and changes in car ownership, the functional relationship between social and economic development and other indicators and car ownership is established, which can be well applied in actual situations . In order to verify the validity and rationality of the method proposed above, the data of a certain area were collected for analysis and verification. The specific method steps are as follows:

[0038] Step 1: Establish a traditional car ownership model based on multiple linear regression analysis, including the following steps:

[0039] Step 1.1: Identify analysis objectives an...

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Abstract

The invention belongs to the technical field of automobile industry data forecasting, and in particular relates to a method for forecasting electric vehicle ownership based on multiple linear regression and proportional substitution. Analyze the correlation with the target variable, establish and verify the multicollinearity model of traditional car ownership; according to the polynomial fitting results of the data of each influencing factor in known years, predict the unknown year data of each influencing factor, and substitute it into the above multiple After the collinear model, the traditional car ownership in the future years is predicted; combined with the local replacement ratio of electric vehicles and the actual growth of electric vehicles, new replacement increments are obtained, and then the total number of electric vehicles in the future years is predicted. The invention can use statistical data to calculate the number of traditional automobiles and calculate the number of electric vehicles, which is helpful for the planning of electric vehicle charging facilities and policy analysis.

Description

technical field [0001] The invention belongs to the technical field of automobile industry data prediction, and in particular relates to a method for predicting electric vehicle ownership based on multiple linear regression and proportional substitution method. Background technique [0002] The automobile industry is the pillar industry of the national economy. It is closely related to people's life and has become an indispensable part of modern society. However, the traditional automobile industry, which uses oil as fuel, not only provides people with fast and comfortable means of transportation, but also increases the dependence of the national economy on fossil energy and deepens the contradiction between energy production and consumption. With the continuous increase of the dual pressure of resources and environment, the development of new energy vehicles has become the direction of the future development of the automobile industry. [0003] my country has issued a numb...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 师瑞峰马源杨阳梁子航孙常浩
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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