Research on the Development Trend of New Energy Vehicles in the Next Ten Years based on VAR Model and Gray Prediction Model

Within the wave of the worldwide vitality emergency extending and the oil assets scarcer specifically or instantly, the modern vitality vehicle (NEV) industry and its affect on related divisions have been the center of consideration. The turnover of some alternative fuels in some countries will be as high as 70% by the end of 2024, is predicted. Modern vitality vehicles will be analyzed by implies of Irregular Woodland Relapse, VAR expectation models, and Gray expectation models, considering unused components just like the normal cost of fuel cars, the normal cost of unused vitality vehicles, and the number of charging heaps for modern vitality vehicles. The ponder is of the see that the steady cost of conventional fuel cars and the diminish in price of modern vitality vehicles, along side the improvement of the charging framework, are the driving strengths behind the quick development of the unused vitality vehicle advertise. The article classifies arrangements of the unused vitality vehicles from nations into a few categories with the help of the Dim relationship investigation, and it is found out that duty plans by the U.S. have more impact on the unused vitality vehicle showcase of certain nations. Prediction models comparison results have shown that the Grey model has a high accuracy of prediction performance than the ARIMA and AR models. Remember to incorporate deeper studies on trends in the e-vehicle development chain, which will, in turn, drive the whole sector to swift growth.