关键词: 大数据；双积分政策；灰色时间序列函数；政策补贴利润模型；产品规划

Abstract: Across the entire automotive ecosystem, policy has a huge impact on product planning. The benchmark for the development of vehicle companies relies on national policies. If any vehicle company wants to develop healthily and long-term, it is inseparable from the support of national policies. Therefore, the study of policy factors is of great significance for the development planning of future car companies. However, in traditional new energy vehicle product planning, the impact of policy factors is not considered. Therefore, this paper conducts research based on the perspective of big data and combine with the national double-point policy, realizes the construction of a profit model from a policy perspective, and then puts forward future product planning opinions. Firstly, use the grey time series function model to forecast the sales and production of vehicles; Secondly, combine with the forecast data and the relevant national regulations on the double-point policy, establish a new energy vehicle double-point policy subsidy profit model; Finally, the representative model of SAIC-GM-Wuling Wuling Hongguang Mini EV is selected for case analysis, and based on the profit model, it puts forward planning opinions on Wuling's future new energy vehicle products. The applicability of the model is verified by case analysis, which has certain practical significance.

Key words: Big data; Double points policy; Grey time series function; Policy subsidy profit model; Product planning