Development of integrated brakes and engine traction control system

Abdelhameed, Magdy M.; Abdelaziz, Mohamed; ElHady, Nancy E.; Hussein, Ahmed

doi:10.1109/rem.2014.6920246

Cited by 4 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During the EM participation process, the measured torque demand follows the reference with a maximum error of 9.2 Nm at approximately 0.35 s caused by a rapid engine speed increase. The measured torque demand of the baseline has difficulty following the reference, because the clutch friction torque does not satisfy the torque demand when it is adjusted according to the engine speed tracking if no measures are taken (for example, the integrated brakes and engine traction [15]).…”

Section: Efforts Of Em Participationmentioning

confidence: 99%

“…The objective criteria of drivability evaluation are related to start-up time, torque response, and torsion speed [11] [12], although some criteria may conflict with each other [13]. In particular, during deceleration, the MoI acting on a flameout engine may affect drivability [14] [15]. In addition, since the engine is connected to the driveline, engine speed tracking is likely to conflict with wheel rolling speed control which affects the wheel rolling distance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Moment-of-Inertia-Driven Engine Start-Up Method Based on Adaptive Model Predictive Control for Hybrid Electric Vehicles With Drivability Optimization

Jian-bo

Hou

et al. 2020

IEEE Access

View full text Add to dashboard Cite

During the deceleration phase of a hybrid electric vehicle (HEV), a moment-of-inertia-driven (MoI-driven) engine start-up process can provide a potential economic benefit because it reduces the energy consumption of the starting device. During this start-up process, it is important to maintain drivability by enabling a quick start-up, low driveline vibration, and fast response to torque demand. The wheel rolling distance control should also be considered. This paper proposes electrical motor (EM) participation in an MoI-driven engine start-up process and studies an adaptive model-based predictive optimization method for the drivability control of P2 parallel hybrid vehicles. Based on a new triple mass-spring-system model, an adaptive model predictive controller (MPC) is designed with EM torque set points, clutch friction torque set points, and engine torque set points as manipulated inputs and engine speed, torsion speed, and wheel rolling distance as the measured outputs. A predicted torque demand is introduced to enhance the torque response performance. By considering the constraints of power source components, an optimization algorithm is developed. A simulation is conducted to verify the control strategy on the HEV powertrain and on vehicle dynamics models. The results show that under the same level of start-up, the torsion speed can be reduced by up to 50% with an improved wheel rolling distance and low torque demand error during a certain deceleration.

show abstract

Section: Efforts Of Em Participationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Moment-of-Inertia-Driven Engine Start-Up Method Based on Adaptive Model Predictive Control for Hybrid Electric Vehicles With Drivability Optimization

Jian-bo

Hou

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Even active suspensions can improve the traction performance indirectly by redistribution of the tyre loads. 4,5 Research on the traction control system has been carried out for more than 30 years. Many single active control methods such as engine torque control, gear position control and braking pressure control have been developed for traction control and widely installed on various vehicles.…”

Section: Introductionmentioning

confidence: 99%

Coordinative traction control of vehicles based on identification of the tyre–road friction coefficient

Zhao

Zhang

Zhu

2016

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

Traction control, which can be performed by different types of chassis control system, plays an important role in vehicle motion control. Since the propulsive force is actually produced by the friction between the tyre and road, information on the tyre-road friction is crucial for traction control. In this paper, a robust and effective tyre-road friction coefficient identification algorithm for straight acceleration is proposed, and a coordinative traction control method is designed by integrated usage of gear shifting control, engine control and braking control. For different driving conditions, the tyre forces were observed by a sliding-mode observer or calculated from the states of the vehicle directly, and the tyre-road friction coefficients were estimated by the recursive least-squares method or calculated from the linear characteristics between the friction coefficient and the slip ratio consequently. Based on the estimated tyre-road information, a practical and systematic coordinative traction control algorithm was designed to integrate shifting control, engine torque control and braking pressure control. Finally, the proposed methods are verified by both simulations and road tests. The results show that the estimation algorithms can identify the variation in the road conditions with considerable accuracy and response speed, and the controller successfully adjusted the slip ratios of the driving wheels in the stable region with good performances on different types of road.

show abstract

Review on Traction Control System

Kumar

2022

International Conference on Intelligent Emerging Methods of Artificial Intelligence &Amp; Cloud Computing

View full text Add to dashboard Cite

Development of integrated brakes and engine traction control system

Cited by 4 publications

References 8 publications

A Moment-of-Inertia-Driven Engine Start-Up Method Based on Adaptive Model Predictive Control for Hybrid Electric Vehicles With Drivability Optimization

A Moment-of-Inertia-Driven Engine Start-Up Method Based on Adaptive Model Predictive Control for Hybrid Electric Vehicles With Drivability Optimization

Coordinative traction control of vehicles based on identification of the tyre–road friction coefficient

Review on Traction Control System

Contact Info

Product

Resources

About