Research on Traction Control Based on Vehicle Dynamics
- DOI
- 10.2991/978-94-6463-986-5_37How to use a DOI?
- Keywords
- Traction Control System; Vehicle Dynamics; Traction Control Algorithms
- Abstract
The study of vehicle dynamics-based traction control is the main topic of this work. Given the growth in the number of automobiles, driving safety has drawn significant attention, and the Traction Control System (TCS) is crucial for enhancing the active safety performance of vehicles. The paper first elaborates on the research background and significance, then constructs the vehicle dynamics model, laying the foundation for TCS research. Subsequently, it introduces the control objects and algorithms of TCS, and analyzes the advantages and disadvantages of typical control strategies. The research indicates that current traction control algorithms are diverse. The traditional PID control is simple but lacks robustness, while intelligent algorithms have strong adaptability but are restricted by computational complexity. In the future, the deep integration of machine vision and predictive control is expected to shift from “passive anti - skid” to “active anti - slip”, improving driving safety and breaking through technical bottlenecks.
- 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 - Tianhao Shou PY - 2026 DA - 2026/02/18 TI - Research on Traction Control Based on Vehicle Dynamics BT - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025) PB - Atlantis Press SP - 351 EP - 366 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-986-5_37 DO - 10.2991/978-94-6463-986-5_37 ID - Shou2026 ER -