Standard Essential Patents Data Study of the Impact of Artificial Intelligence on Intelligent Connected Vehicle Technological Advancement

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Liangliang Wang, Junlei Wang, Fan Zhang, Yue Long, Xiaoxue Ye, Lan Liu, Ran Ji

Abstract

This research employs a machine learning-based text mining algorithm and the international patent classification (IPC) co-occurrence network approach, utilizing patent documents submitted from 2015 to 2022 to empirically examine the influence of artificial intelligence (AI) on modern electric car progress. The research illustrates the dynamically shifting structure of the fusion of AI and electric car technology and indicates how AI has impacted electric car technological advancement through time. It is based on classified artificial intelligence techniques. This research shows that artificial intelligence speeds up the automated process of driving in electric cars, that the AI technique often employed in electric vehicles has undergone modifications long period, and that the technical aspects of electric cars that AI impacts have shifted as well.   

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