Development of a new traction control system for vehicles with automatic transmissions

Shi, Jun–Wu; Li, X.; Lu, Tianhuan; Zhang, J.

doi:10.1007/s12239-012-0073-9

Cited by 8 publications

(2 citation statements)

References 9 publications

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“…The phenomenon of vehicle speed is corrected based on slip rate control. [4][5][6][26][27][28][29] In this study, we design the control target of TCS based on speed control. As shown in equation (9), slip rate is calculated based on wheel and vehicle speeds.…”

Section: Discussionmentioning

confidence: 99%

Development of a new traction control system using ant colony optimization

Jin

Ling

2018

Advances in Mechanical Engineering

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An advanced traction control system can help limit wheel rotation and enhance vehicle stability. This article presents a new traction control system under complicated situations, including the low slippery road surface and split-m road surface. First, a 15-degree-of-freedom nonlinear vehicle dynamics simulation model is established. Then, the driving wheel speed is regulated by adjusting the engine torque and the wheel brake pressure. The engine torque regulation is based on a proportional-integral-derivative plus ant colony optimization controller, and the wheel brake pressure regulation is based on a proportional-integral plus ant colony optimization controller. Finally, the proposed strategies are applied to simulation and road tests. Results indicate that the algorithm exhibits high control accuracy and robust performance. Compared with the traditional proportional-integral-derivative controller, the proposed strategies improve vehicle acceleration performance and stability.

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Section: Discussionmentioning

confidence: 99%

Development of a new traction control system using ant colony optimization

Jin

Ling

2018

Advances in Mechanical Engineering

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“…Nowadays, vehicle stability control systems, such as electric stability control (ESC) systems, have become increasingly significant as vehicle safety control systems, and most modern vehicles and even electric motor drive vehicles have been equipped with these systems in order to improve the driving safety and the comfort. 1–3 ESC systems have made a great contribution to the avoidance of vehicle accidents over the past few years; 4,5 these consist of several highly efficient electrical control systems, such as anti-lock brake systems, 6 traction control systems, 7–9 direct yaw moment control systems 10–12 and anti-roll control systems. 13,14 Thus, estimation of the dynamic states of the vehicle is particularly important for the performance of ESC, because it provides the basic key states and accurate control signals.…”

Section: Introductionmentioning

confidence: 99%

A novel fusion algorithm for estimation of the side-slip angle and the roll angle of a vehicle with optimized key parameters

Jiang

Liu

Guo

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part D:

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As is known, estimation of the dynamic states of a vehicle plays an important role in safety control, but it is difficult to obtain the vehicle states accurately without expensive measurement instruments because of the non-linear and huge hysteretic characteristics. Nowadays, many methods have been adopted to solve this problem, the results of which are not ideal because it is assumed that the key parameters are constant, in particular in severe manoeuvres. This paper develops a novel estimation method for the vehicle states using the extended Kalman filter with a fusion algorithm. First, the optimal key parameters (the equivalent roll stiffness and the equivalent roll damping) are identified by genetic algorithms using the data from the relationship between the key parameters and the vehicle real-time states. Then, a novel non-linear observer for the side-slip angle and the roll angle is established on the basis of a four-degree-of-freedom vehicle model by utilizing the identified key parameters and the sensors mounted on normal vehicles. The performance of the observer is investigated using both simulations and real-vehicle experiments. The results demonstrate the reasonable accuracy of the estimation method proposed in this paper.

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