Research on the Future Development of New Energy Power Vehicles Based on Python

Abstract

Countries need to promote and study the development trends of new energy-electric vehicles in response to global climate issues. In this study, principal component analysis and cumulative contribution rate method were used to identify the main factors involved. Regression analysis was performed and the impact of the main factors on the development of new energy vehicles in China were highlighted through the coefficients of the regression analysis. A multivariate environment was established to influence the evaluation model. The system dynamics model was used to simulate the relationship between factors such as penetration rate, energy conservation, and urban environmental quality. It was concluded that the popularization of new energy-electric vehicles has a positive impact on the urban environment. The advantages and disadvantages of the constructed model were also analyzed, where results showed that the
constructed model had high precision and accuracy.