Algorithm for calculating torque base in vehicle traction control system

Li, Hongzhi; Li, Liang; Song, Jian; Wu, Kaihui; Qiao, Yaojun; Liu, Xingchun; Xia, Yongguang

doi:10.3901/cjme.2012.06.1130

Cited by 8 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fuzzification makes the measured inputs dimensionally compatible with the conditions of the knowledge-based rules. 20 The linguistic terms of each input and output are shown in Table 3.…”

Section: Fuzzificationmentioning

confidence: 99%

A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference

Zhang

Zhao

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective.

show abstract

“…Fuzzification makes the measured inputs dimensionally compatible with the conditions of the knowledge-based rules. 20 The linguistic terms of each input and output are shown in Table 3.…”

Section: Fuzzificationmentioning

confidence: 99%

A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference

Zhang

Zhao

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

show abstract

“…However, there exist a lot of factors, such as manufacturing error, location error and heat distortion, making the torch track deviate from the weld seam trajectory [1]. Kinds of seam tracking sensors are used to solve the problem.…”

Section: Introductionmentioning

confidence: 99%

Study on robot motion control for intelligent welding processes based on the laser tracking sensor

Zhang

Wang

Tang

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

“…Regulation using the pressure in the wheel cylinder is also significant in TCS and AYC. [5][6][7] The simplified model for the relationship between the brake pressure and the tyre force can predict the road friction coefficient. 8,9 Each constructed module should select the appropriate control model.…”

Section: Introductionmentioning

confidence: 99%

Real-time estimation of the pressure in the wheel cylinder with a hydraulic control unit in the vehicle braking control system based on the extended Kalman filter

Jiang

Miao

Wang

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

The pressure in the wheel cylinder plays an important role in the anti-lock braking system, but direct measurement usually needs expensive sensors. Therefore, estimation of the pressure in the wheel cylinder is of great significance to optimize the algorithm of the anti-lock braking system. There are two commonly used estimation methods: one is based on the hydraulic model, and the other is based on the equation for the tyre dynamics. Both of these, however, suffer from inadequacies. The former method is sensitive to the accuracy of the model in practical applications, and an accumulated error appears if some parameters of the process are not sufficiently accurate. In the latter method the pressure in the wheel cylinder is calculated for each cycle but, when the vehicle is running, the fluctuations in the deceleration are relatively large. To estimate the pressure more accurately, a novel method is proposed in this paper, which combines these two methods on the basis of the extended Kalman filter. The method can compensate for the inadequacies of the two methods mentioned above by using the variation in the wheel speed as the observation variable to modify the hydraulic model. It can decrease its sensitivity to the accuracy of the hydraulic model and improve the accuracy of the estimated magnitude of the pressure. The estimated results are compared with the real values which are obtained by using a pressure sensor on a typical low-friction road and on an asphalt road; in addition, the effectiveness of the novel method is validated by hardware-in-the-loop tests and vehicle tests. The results show that the proposed method can provide an accurate estimation of the pressure in the wheel cylinder during hydraulic control of the anti-lock braking system or any other brake control system.

show abstract

Algorithm for calculating torque base in vehicle traction control system

Cited by 8 publications

References 13 publications

A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference

A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference

Study on robot motion control for intelligent welding processes based on the laser tracking sensor

Real-time estimation of the pressure in the wheel cylinder with a hydraulic control unit in the vehicle braking control system based on the extended Kalman filter

Contact Info

Product

Resources

About