基于多源数据和改进链路预测的新能源汽车技术机会研究

Study on Technological Opportunities in the New Energy Vehicles Field Using Multi-Source Data and Improved Link Prediction

[研究目的]在绿色低碳发展的背景下,旨在识别新能源汽车领域的技术机会,为未来新能源汽车的技术研发与商业化方向提供借鉴参考,助力新能源汽车的发展。[研究方法]搜集反映新能源汽车领域基础研究、应用研究和商业化的多源数据,采用三螺旋模型,将基于改进链路预测方法得到的预测结果“节点链”进行融合对比分析,得到最终细化的新能源汽车技术机会。[研究结论]验证了基于多源数据融合思想和改进链路预测的方法识别新能源汽车技术机会的可行性。研究结果表明:新能源汽车未来技术机会主要集中在动态无线充电技术、磁悬浮技术与自动驾驶技术的结合;通过碳化硅材料等改进的驱动技术;通过光催化等改进的电池技术;制氢与车载储氢等。

[Research purpose]Under the background of green and low-carbon development,this study aims to identify technological opportunities 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,application 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 hydrogen storage-related technologies,etc.