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Research On Sales Forecast Of Electric Vehicle Market In China

Posted on:2019-05-26Degree:MasterType:Thesis
Country:ChinaCandidate:T LingFull Text:PDF
GTID:2359330545486237Subject:Engineering
Abstract/Summary:PDF Full Text Request
As global environmental issues and the oil energy crisis become increasingly severe,countries around the world are actively taking response measures to achieve rapid economic development.The layout and development of electric vehicles have become the top priority for the development of the automotive industry in all countries.In recent years,the development of electric vehicles has been rapid,and the market sales volume has been increasing.The government and auto companies have more accurate market demand for electric vehicles,which plays an important role in formulating corporate development policies and corporate development strategy.Based on a comprehensive analysis of the development of China's electric vehicle market,this article systematically discusses the factors affecting electric vehicle sales from four aspects: economic,population,traffic,and policy.Quantify the influencing factors,and use grey correlation analysis to study the influence of various factors on the sales of electric vehicles.Due to the complexity of the electric vehicle market system,its sales forecast is susceptible to many factors.Using only the prediction method based on the time series itself does not fully describe the relationship between electric vehicle sales and its influencing factors.Based on the historical data of electric vehicle sales in China,this paper constructs two forecasting models based on time series and regression analysis,and forecasts the sales of electric vehicles in China from 2017 to 2020 based on this model.Combining the advantages and disadvantages of the two individual models of time series and regression analysis,and further using the entropy value combination forecasting method to predict the sales of electric vehicles,the prediction results are more accurate and the prediction accuracy is improved.
Keywords/Search Tags:Electric Vehicle, Influencing factors, Sales prediction, Combination Forecasting
PDF Full Text Request
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