Collaborative Innovation Mechanism Of Electric Vehicles Based On Complex Network

In March 2021,the central government proposed to achieve carbon peak and carbon neutrality as a key task and construct a new power system with the new energy as the main body.The new type of energy storage represented by electric vehicles will usher in great development opportunities.Trends and priorities in the electric vehicle industry have shifted.The development of new energy vehicles,represented by electric vehicles,has become an important way to absorb renewable energy,solve the problem of environmental pollution,alleviate the contradiction between supply and demand of fossil resources and optimize the energy and industrial structure.Electric vehicle is a breakthrough innovation product in the electric vehicle industry,which is characterized by great difficulty in innovation,close technical connection,high research cost and long product innovation cycle.The industry-university-research collaborative innovation can realize the resource sharing,knowledge transfer and technology diffusion of various innovation subjects in the R&D and design of electric vehicles,promote the knowledge appreciation of universities and research institutions and the transformation of scientific and technological achievements,which is conducive to the effective integration of resources of electric vehicle related enterprises in the fierce market competition,and realize the improvement of innovation efficiency.This paper takes electric vehicle industry of Shanghai as the research object and expects to provide more beneficial ideas for the research on the network characteristics and optimization countermeasures of the industry-university-research cooperation mode and collaborative innovation network of the electric vehicle industry.Firstly,the development situation of electric vehicle industry in Shanghai is summarized to clarify the problems facing the electric vehicle industry in Shanghai.Retrieve and sort out the patent cooperation data and paper cooperation data of Shanghai universities,scientific research institutions and enterprises participating in the cooperation of production,education and research of electric vehicles.On this basis,we take complex network theory and collaborative innovation theory as the theoretical basis and use the Network X based on Python to carry out the network structure of electric vehicle collaborative innovation network of Shanghai and calculate network parameters such as degree distribution,average path length,clustering coefficient and node betweenness,edge betweenness,closeness and degree correlation.Analysis shows that the collaborative innovation network of electric vehicle of Shanghai has the characteristics of small-world,scale-free and network heterogamy.Using the combined weighting-TOPSIS model to identify the importance of innovation subjects in the Collaborative Innovation Network of Electric Vehicle of Shanghai and determine the key innovation subjects in the innovation network.Based on the research results of previous scholars,the risks faced by the Collaborative Innovation Network of Electric Vehicle of Shanghai are summarized as endogenous risks and exogenous risks.The robustness of collaborative innovation network of Shanghai for electric vehicles against external risks is simulated and analyzed.The results show that the innovation network presents strong robustness to the impact of exogenous risks,and is fragile to the impact of endogenous risks.The failure of key nodes the edges of the innovation network is more likely to lead to the failure of collaborative innovation activities.On the basis of the above research contents,countermeasures are proposed to enhance the robustness of collaborative innovation network of electric vehicles in Shanghai.