Optimization of Sensor Targeting Configuration for Intelligent Tire Force Estimation Based on Global Sensitivity Analysis and RBF Neural Networks
Tire force is a critical state parameter for vehicle dynamics control systems during vehicle operation. Compared with tire force estimation methods relying on vehicle dynamics or tire models, intelligent tire technology can provide real-time feedback regarding tire–road interactions to the vehicle c...
Saved in:
| Main Authors: | Yu Zhang, Guolin Wang, Haichao Zhou, Jintao Zhang, Xiangliang Li, Xin Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/7/3913 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lightweight design of materials for rubber-tired trains
by: Liu Longxi, et al.
Published: (2025-09-01) -
Improvement in and Validation of the Physical Model of an Intelligent Tire Considering the Wear
by: Guolin Wang, et al.
Published: (2025-04-01) -
MULTI-OBJECTIVE OPTIMIZATION OF VEHICLE/TRACK PARAMETERS BASED ON RBF NEURAL NETWORK SURROGATE MODEL
by: XIAO Qian, et al.
Published: (2021-01-01) -
A Strain-Based Method to Estimate Rolling Tire Grounding Parameters and Vertical Force
by: Jintao Zhang, et al.
Published: (2025-03-01) -
RESEARCH ON EQUIVALENT MODEL OF TBR TIRE
by: ZHANG Lu, et al.
Published: (2019-01-01)