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This paper establishes a population competition model to analyze the competitive relationship between traditional fuel vehicles and new energy vehicles based on the number of production and sales and market share of traditional fuel vehicles and new energy vehicles in the past ten years. of new energy vehicles, GDP, sulfur dioxide, nitrogen oxides, coal consumption, crude oil consumption and other factors on carbon emissions, multiple regression analysis and particles warm algorithm. regression analysis and particle swarm algorithms are established to predict the time of carbon peak and carbon neutralization. The conclusions of this paper are as follows: the rapid development of new energy vehicles and the development of carbon neutralization in the past ten years. The conclusions of this paper are as follows: the rapid development of new energy vehicles has had a great impact on the traditional fuel vehicle market; the development of new energy vehicles has a negative correlation with carbon emissions. The conclusions of this paper are as follows: the rapid development of new energy vehicles has had a great impact on the traditional fuel vehicle market; the development of new energy vehicles has a negative correlation with carbon emissions, and its development can promote the advancement of dual-carbon; and this paper predicts that carbon peak can be reached in 2030, and carbon neutrality can be reached in 2060.
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