Study on Technological Opportunities in the New Energy Vehicles Field Using Multi-Source Data and Improved Link Prediction
[Research purpose]Under the background of green and low-carbon development,this study aims to identify technological op-portunities in the new energy vehicles field,which has great importance for future technological R&D and technological commercialization of this field,and help the development of new energy vehicles.[Research method]Multi-source data reflecting basic research,applica-tion research and commercialization of new energy vehicles were collected.Forecasting outcomes about node-links were acquired based on an improved link prediction method,and fusing comparative analyses of them were carried out by employing a triple helix model.Through above process,refined technological opportunities of new energy vehicles were finally gotten.[Research conclusion]This study verifies the feasibility of identifying technological opportunities of new energy vehicles field based on the idea of multi-source data fusion and the improved link prediction method.Results show that future technological opportunities of new energy vehicles mainly concentrate around dynamic wireless charging technology,integration of magnetic levitation and autonomous driving technology;improved drive technologies through materials such as silicon carbide;enhanced battery technologies through photocatalysis;hydrogen production and on-board hydro-gen storage-related technologies,etc.
multi-source datatriple helix theoryimproved link predictiontechnological opportunitiesnew energy vehicle
万方数据
维普
