A Model-Based Traction Control Strategy Non-Reliant on Wheel Slip Information
Vehicle System Dynamics, Vol. 49, No. 8, pp. 1245-12652011A traction control system (TCS) for two-wheel-drive vehicles can conveniently be realized by means of slip control. Such a TCS is modified in this paper in order to be applicable to four-wheel-drive vehicles and ABS, where slip information is not readily available. A reference vehicle model is used to estimate the vehicle velocity. The reference model is excited by a saw-tooth signal in order to adapt the slip for maximum tire traction performance. The model-based TCS is made robust to vehicle modeling errors by extending it with (i) a superimposed loop of tire static curve gradient control or (ii) a robust switching controller based on a bi-directional saw-tooth excitation signal. The proposed traction control strategies are verified by experiments and computer simulations. traction control; ABS; estimation; electric vehicle; tyre curve gradient control; switching control
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Vehicle System Dynamics, Vol. 49, No. 8, pp. 1245-1265
2011
Cited by 32
▾
-
[1] Anti-Skid Control of Distributed Drive Electric Vehicle Drive Based on Terminal Sliding Mode 🔗Youth Academic Annual Conference of Chinese Association of Automation, 2025
-
[3] Combined acceleration slip regulation for multi-wheel distributed electric drive vehicles considering torque loss factor 🔗Control Engineering Practice, 2024
-
[4] Coordinated traction control of on-demand four-wheel-drive vehicles under complex start-up situation 🔗Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering, 2022
-
[5] A Comprehensive Vehicle Stability Assessment System Based on Enabling Tire Force Estimation 🔗IEEE Transactions on Vehicular Technology, 2022
-
[6] Amelioration of Energy Dissipation Through Robotic Evacuation Process of Solid Bulk Materials: Effectiveness of Wheel Slip Control System 🔗The Arabian journal for science and engineering, 2022
-
[7] Dual-objective torque control of electric vehicles drivetrain with robust global finite-time stability guarantee 🔗Vehicle System Dynamics, 2022
-
[8] Research on Direct Braking Force Estimation and Control Strategy Using Tire Inverse Model 🔗Journal of Advanced Transportation, 2022
-
[9] An anti-slip control strategy with modifying target and torque reallocation for heavy in-wheel motor vehicle 🔗Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering, 2021
-
[11] Performance Evaluation of Electric Vehicle Model under Skid Control Technique 🔗World Electric Vehicle Journal, 2021
-
[14] Sub‐optimal switching in anti‐lock brake systems using approximate dynamic programming 🔗IET Control Theory & Applications, 2019
-
[15] Real-time model predictive control of connected electric vehicles 🔗Vehicle System Dynamics, 2018
-
[21] A Survey of Traction Control and Antilock Braking Systems of Full Electric Vehicles With Individually Controlled Electric Motors 🔗IEEE Transactions on Vehicular Technology, 2015
-
[23] Traction control system using a fuzzy representation of the vehicle model 🔗American Control Conference, 2015
-
[25] Fuzzy proportional-integral state feedback controller For vehicle traction control system 🔗International Conference on Computability and Complexity in Analysis, 2014
-
[26] Vehicle traction control based on optimal slip using sliding mode controller 🔗Proceedings of the 33rd Chinese Control Conference, 2014
-
[27] Optimal slip based traction control for electric vehicles using feedback linearization 🔗International Conference on Mathematics and Computing, 2014
-
[31] Overview on Key Technologies of Acceleration Slip Regulation for Four-wheel-independently-actuated Electric Vehicles 🔗Journal of Mechanical Engineering, 2019