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<p>The identification of key core technologies has become one of the most important tasks for new energy vehicles (NEVs) to enhance innovation capabilities and ensure core competitiveness. Traditional identification approaches usually rely on expert evaluation or shallow statistical analysis based on patent documents, and it is difficult to deal with large-scale data and cope with the complex challenges brought by rapid technology iteration. To address the question “how can key core technologies of NEVs be identified in large-scale updated database”, this paper proposes an identification approach of key core technologies of NEVs based on knowledge graph. Firstly, a patent knowledge graph is proposed. On the basis of it, we study identification architecture of key core technologies of NEVs. Furthermore, identification approach of key core technologies is investigated. Finally, we utilize IncoPat from January 1, 2016 to December 31, 2024 to evaluate our approach, and the experimental results show the advantages of our approaches.</p>

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Identification of key core technologies of new energy vehicles based on knowledge graph

  • 期刊论文

  • 发表日期：

    2026年3月21日

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  • Kaiwei Jia,
  • Ying Zhao

摘要

The identification of key core technologies has become one of the most important tasks for new energy vehicles (NEVs) to enhance innovation capabilities and ensure core competitiveness. Traditional identification approaches usually rely on expert evaluation or shallow statistical analysis based on patent documents, and it is difficult to deal with large-scale data and cope with the complex challenges brought by rapid technology iteration. To address the question “how can key core technologies of NEVs be identified in large-scale updated database”, this paper proposes an identification approach of key core technologies of NEVs based on knowledge graph. Firstly, a patent knowledge graph is proposed. On the basis of it, we study identification architecture of key core technologies of NEVs. Furthermore, identification approach of key core technologies is investigated. Finally, we utilize IncoPat from January 1, 2016 to December 31, 2024 to evaluate our approach, and the experimental results show the advantages of our approaches.