Proceedings of the 2025 4th International Conference on Educational Science and Social Culture (ESSC 2025)

Development and Challenges of Intelligent Driving Technology for New Energy Vehicles

Authors
Chen Yuting1, Bian Xiang1, 2, *
1School of Mechanical Engineering, Jiangsu University of Science and Technology, 215600, Jiangsu, Suzhou, China
2Suzhou Institute of Technology, Jiangsu University of Science and Technology, 215600, Jiangsu, Suzhou, China
*Corresponding author. Email: 18545587@qq.com
Corresponding Author
Bian Xiang
Available Online 25 March 2026.
DOI
10.2991/978-2-38476-553-9_66How to use a DOI?
Keywords
intelligent driving technology; New energy vehicles; Market competition; AI algorithm; sensor fusion
Abstract

Intelligent driving technology is gradually becoming an important development direction for the new energy vehicle industry. This article focuses on two representative intelligent driving models, Huawei Wenjie M7 and Xiaomi SU7, and systematically analyzes their core architecture, key technological breakthroughs, market performance, and competitive landscape of intelligent driving technology. Research has found that Huawei’s WENJIE M7, relying on high-precision sensor fusion and powerful computing platforms, has outstanding performance in perception systems, while Xiaomi’s SU7 enhances the intelligent driving experience with AI algorithm optimization and reinforcement learning models, and has advantages in decision-making systems. Market data shows that intelligent driving functions have become an important factor in consumer car purchasing decisions, and the market penetration rate will continue to rise in the future. At the same time, the improvement of regulations, advances in AI technology, and the development of V2X intelligent transportation will further promote the advancement of intelligent driving technology to L3 and above levels. This study compares and analyzes the intelligent driving solutions of two vehicle models, summarizes industry development trends, and provides references for future innovation paths in intelligent driving technology.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 4th International Conference on Educational Science and Social Culture (ESSC 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
25 March 2026
ISBN
978-2-38476-553-9
ISSN
2352-5398
DOI
10.2991/978-2-38476-553-9_66How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Chen Yuting
AU  - Bian Xiang
PY  - 2026
DA  - 2026/03/25
TI  - Development and Challenges of Intelligent Driving Technology for New Energy Vehicles
BT  - Proceedings of the 2025 4th International Conference on Educational Science and Social Culture (ESSC 2025)
PB  - Atlantis Press
SP  - 593
EP  - 606
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-553-9_66
DO  - 10.2991/978-2-38476-553-9_66
ID  - Yuting2026
ER  -