Research on the Impact of Policies under the Bayesian Network Model on the Consumption Behavior of New Energy Vehicles

Based on the Bayesian network, this paper uses consumer models to extract several factors that affect the consumption behavior of new energy vehicles, and combines principal component analysis to extract the main factors to construct the model. Using the past sales changes of various models under various policy environments, this paper assign probabilities to the model, and use genetic algorithms to find the value of each factor when the predicted value of new energy vehicle sales growth is the highest. Through correlation analysis, the relevant information of each factor is analyzed, and it is concluded that subsidies have a greater impact on the consumption of new energy vehicles. In the car itself, people pay more attention to the durability of the battery than the performance of the car. Combining the predicted value of the model with the current policy background, it puts forward recommendations on loans, batteries, environmental awareness, and charging infrastructure for new energy vehicle policies.