Fatigue Analysis and Life Assessment of General Automobile Suspension Systems
- DOI
- 10.2991/978-94-6463-821-9_82How to use a DOI?
- Keywords
- Lithium-Ion Batteries; State of Charge; Battery Management Systems; Kalman Filter; Neural Networks
- Abstract
The automotive suspension system is crucial for vehicle comfort, handling, and safety across diverse road conditions. Its design and performance directly influence the driving experience and vehicle durability. With the automotive industry’s continuous evolution, assessing the fatigue life of suspension systems has become increasingly important, especially considering the variable loads and stresses encountered during daily operation. Furthermore, machining precision in the manufacturing of suspension components significantly affects their fatigue resistance and overall durability. Recent advancements, including high-strength materials and adaptive suspension control, have shown potential in extending component life and reducing fatigue-induced failures. Additionally, machine learning-based fatigue life prediction and AI-driven predictive maintenance approaches are emerging as effective tools for optimizing suspension performance and reliability. This paper delves into the fatigue characteristics of automotive suspension systems, exploring current fatigue analysis and life assessment methods, including finite element analysis (FEA), multi-body dynamics (MBD), and experimental testing. By evaluating existing technologies, this study proposes design optimization strategies, including advanced machining techniques, intelligent suspension control, and AI-enhanced maintenance solutions, to enhance the service life and safety of suspension systems.
- Copyright
- © 2025 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 - Hanzhi Zhang PY - 2025 DA - 2025/08/31 TI - Fatigue Analysis and Life Assessment of General Automobile Suspension Systems BT - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025) PB - Atlantis Press SP - 855 EP - 863 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-821-9_82 DO - 10.2991/978-94-6463-821-9_82 ID - Zhang2025 ER -