Analysis of electric vehicle technology development based on patent big data: a topic analysis of structured topic model (STM)

Weiya Zhang; Gang Cao; Ye Ji; Liuting Gu; Shufan Wang

doi:10.1117/12.2656586

20 October 2022 Analysis of electric vehicle technology development based on patent big data: a topic analysis of structured topic model (STM)

Weiya Zhang, Gang Cao, Ye Ji, Liuting Gu, Shufan Wang

Author Affiliations +

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124512H (2022) https://doi.org/10.1117/12.2656586
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

This research uses 61,780 patents related to electric vehicles in the global patent database to analyze the full text of electric vehicle patents in two major technology areas (1. transport, 2. electrical machinery, apparatus, energy) and other technology areas using the STM model for thematic analysis, and combines them with patent values. We look for the thematic bias of high-value patents in each technology area, so as to determine the most valuable development direction in the field of electric vehicles. In our analysis, we found that innovations in core technologies bring the most value, including energy conversion efficiency and battery module technology performance, while sustainability is another focus of core technologies and the green effect is gaining importance. This study compares the full-text themes of all technology patents since the concept of electric vehicles was first created, and considers the weighting of words of different core degrees to provide a baseline for subsequent research.

Citation Download Citation

Weiya Zhang, Gang Cao, Ye Ji, Liuting Gu, and Shufan Wang "Analysis of electric vehicle technology development based on patent big data: a topic analysis of structured topic model (STM)", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124512H (20 October 2022); https://doi.org/10.1117/12.2656586

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available