Performance analysis and optimization suggestions of intelligent electric vehicle based on big testing data

Lu Zhang; Xiangrong Li; Xin Wang

doi:10.1117/12.3025954

8 April 2024 Performance analysis and optimization suggestions of intelligent electric vehicle based on big testing data

Lu Zhang, Xiangrong Li, Xin Wang

Author Affiliations +

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130904F (2024) https://doi.org/10.1117/12.3025954
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

Based on the evaluation content of CCRT management rules (2020 version), this paper tests and evaluates 10 popular smart electric vehicles, systematically summarizes the overall development level of smart electric vehicles and the technical status of each performance sector, and focuses on the electrification sector to analyze the evaluation results, points out the actual problems of the current smart electric vehicles in China’s working conditions, and provides optimization suggestions for the reference of enterprise R&D and design.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lu Zhang, Xiangrong Li, and Xin Wang "Performance analysis and optimization suggestions of intelligent electric vehicle based on big testing data", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130904F (8 April 2024); https://doi.org/10.1117/12.3025954

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