Issue |
MATEC Web Conf.
Volume 410, 2025
2025 3rd International Conference on Materials Engineering, New Energy and Chemistry (MENEC 2025)
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Article Number | 04015 | |
Number of page(s) | 7 | |
Section | Intelligent Systems and Sensor Technologies for Autonomous Operations | |
DOI | https://doi.org/10.1051/matecconf/202541004015 | |
Published online | 24 July 2025 |
Basic Introduction of New Energy Vehicles Structure and Research Progress on Fault Detection Methods of New Energy Vehicles
The Sino-British College of USST Mechanical Engineering, 200031 Shanghai, China
* Corresponding author: kerlan@ldy.edu.rs
In the booming automotive industry, automotive fault detection is crucial. This study focuses on electric vehicle chassis. It first details the basic structure of the electric vehicle chassis, including its four-part system (transmission, driving, steering, and braking), and the differences in chassis structures between traditional and new energy vehicles. Also, it elaborates on common chassis materials, with distinct choices for conventional internal combustion engine vehicles (prioritizing safety and performance) and electric vehicles (emphasizing lightweight for energy efficiency). Regarding maintenance methods, the OBD system, a prevalent diagnostic tool in new energy vehicles, offers detailed performance data and fault codes, ensuring vehicle safety and enabling remote diagnosis and software updates. The Application of Electronic Diagnosis Technology is more suitable for new energy vehicles due to their complex electronics, though it has limitations. The study concludes that current fault detection methods are becoming more complete. By introducing chassis structure, materials, and two detection methods OBD system and Electronic Diagnosis Technology, it aims to improve automotive fault detection. Future research should refine the display of fault detection results to enhance maintenance efficiency.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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