Abstract: Based on the number of joint patent applications for new energy automobile industry in Beijing-Tianjin-Hebei region from 2012 to 2020, the cooperative innovation network of new energy automobile industry in Beijing-Tianjin-Hebei region is constructed, and the cooperative innovation network structure is analyzed by using social network analysis (SNA) method. For further analysis of the mechanism of industrial proximity dimension, knowledge proximity dimension and geographical proximity dimension on the evolution of collaborative innovation network, a quadratic assignment program (QAP) regression model is constructed to carry out empirical research and non-parametric test of coefficients. The research shows that the collaborative innovation network of Beijing-Tianjin-Hebei new energy automobile industry has evolved rapidly in 9 years. The network density and network center potential show that the collaborative innovation network presents a multi-center trend and the cohesion between subgroups is poor. The core nodes of collaborative innovation network are State Grid Company. Different proximity effects in different stages of Beijing, Tianjin and Hebei provinces and cities have different effects on collaborative innovation network: industrial proximity and geographical proximity always positively affect the development of collaborative innovation network, and the significant degree of knowledge proximity influence in different stages of different provinces and cities is different.