Results 281 to 290 of about 69,544 (324)

Research on Maximum Road Adhesion Coefficient Estimation for Distributed Drive Electric Vehicle

2013 International Conference on Mechanical and Automation Engineering, 2013
In consideration the drawbacks of some existing road adhesion coefficient estimation methods, a maximum road friction estimation method was proposed in this paper based on the model reconstruction principles, which fully took the advantages that the wheel dynamic parameters of distributed drive electric vehicle can be obtained accurately.
Mingyuan Bian, Long Chen, Yugong Luo, Keqiang Li   +3 more
openaire   +1 more source

Road Adhesion Coefficient Estimatior Using Adaptive UKF with Model Parameter Perturbation and Unknown Time-Varying Noise

2025 IEEE 19th International Conference on Control & Automation (ICCA)
Distributed driving electric vehicles (DDEV) has become one of the research hotspots in automobile industry due to its fully decoupled chassis configuration.
Shuo Bai, Junzhe Gao, Ruiqi Fang, Zilong Liu, Jiatong Zhang, Guodong Yin   +5 more
semanticscholar   +1 more source

A comparative study of the recursive least squares and fuzzy logic estimation methods for the measurement of road adhesion coefficient

Australian Journal of Mechanical Engineering, 2021
Vehicle active safety system is the hotspot of current research and development, and the road adhesion coefficient is one of the essential parameters in the development of automobile active safety system, which plays a pivotal role in automobile safety ...
Gengxin Qi, Xiao-bin Fan, Hao Li
semanticscholar   +1 more source

Estimation of road adhesion coefficient based on Sage-Husa adaptive filtering improved square root cubature Kalman filter algorithm

International Journal of Heavy Vehicle Systems
Quanwei Wang, Xiaobin Fan, Shuwen He, Zipeng Huang, Mingxin Chen   +4 more
openalex   +2 more sources

Prediction of road adhesion coefficient for vehicle ABS control using an MFO-Elman neural network

Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering
Precisely estimating road adhesion coefficients is essential for enhancing the control of wheel slip ratios. However, traditional neural networks exhibit instability in weight vector updates, resulting in suboptimal estimations that are inadequate for ...
Jun-cheng Wang, Yong-xiang Wang, Fa-hui Wang   +2 more
semanticscholar   +1 more source

Research on Road Adhesion Coefficient Estimation based on Improved Sage-Husa Adaptive Unscented Kalman Filter

2025 9th CAA International Conference on Vehicular Control and Intelligence (CVCI)
Accurate real-time identification of road-tire friction characteristics during vehicle operation is critically influential to driving state and dynamic performance, particularly for safety-critical applications in intelligent vehicle control.
Zhuolin Li, Renyun Sun, Guohao Zhang, Jinqing Liu, Zihao He   +4 more
semanticscholar   +1 more source

Estimation of road adhesion coefficient and sideslip angle for electric vehicles with slip-aware constraints using strong tracking unscented Kalman filter

Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering
Accurate estimation of road adhesion coefficient and sideslip angle are crucial for safer driving and ride quality of electric vehicles (EVs). To that end, an estimation algorithm of road adhesion coefficient and sideslip angle for EVs with slip-aware ...
Lei Wang, Hui Pang, Ruxuan Zuo, Lizhe Zheng, Chuanping Hu   +4 more
semanticscholar   +1 more source

A Estimation Method of Road Adhesion Coefficient Based on A New Adaptive Square Root Cubature Kalman Filter

2024 8th CAA International Conference on Vehicular Control and Intelligence (CVCI)
The intelligent chassis control system plays a crucial part in improving the safety, the stability and the driving comfort. The timely and precise estimation of the road adhesion coefficient is the premise of realizing the control system.
Chao Du, Hong-Liang Wang, Yongjun Yan, Chen-Shuo Zhang, Pengyu Xue, Dawei Pi   +5 more
semanticscholar   +1 more source

A double-layered nonlinear model predictive control based control algorithm for local trajectory planning for automated trucks under uncertain road adhesion coefficient conditions

Frontiers of Information Technology & Electronic Engineering, 2020
We present a double-layered control algorithm to plan the local trajectory for automated trucks equipped with four hub motors. The main layer of the proposed control algorithm consists of a main layer nonlinear model predictive control (MLN-MPC ...
Hong-chao Wang, Wei-wei Zhang, Xun-cheng Wu, Haotian Cao, Qiaoming Gao, Suyun Luo   +5 more
semanticscholar   +1 more source

Research on Road Adhesion Coefficient Estimation for Electric Vehicle under Tire Cornering Condition

Applied Mechanics and Materials, 2013
The research came up with a road adhesion coefficient estimation method for electric vehicle under tire cornering condition, compared with the previous researches that mainly focused on tire longitudinal behaviors. The designed identification method first distinguishes the states of small longitudinal slip and large longitudinal slip in the condition ...
Yi Chen, Xue Feng Li, Tong Qu
openaire   +1 more source