Drivability Improvement Control for Vehicle Start-Up Applied to an Automated Manual Transmission

Jiang, Danna; Huang, Ying; Zuo, Zhe; Li, Huan

doi:10.1155/2017/5783527

Cited by 8 publications

(2 citation statements)

References 15 publications

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“…The engine, the clutch and the EM exhibit time lag behavior; therefore, the torques , and can be considered as first-order processes with time delays , and , respectively [17][27] [28]. Thus, these objects can be shown in the time domain as follows:…”

Section: { (6)mentioning

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

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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.

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Section: { (6)mentioning

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

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“…Jiang et al [19] proposed a model predictive control (MPC) strategy of an AMT clutch for medium-duty trucks during the start-up process. Li et al [20] proposed a novel piecewise linear feedback control strategy for an automotive dry clutch engagement process.…”

Section: Introductionmentioning

confidence: 99%

Two-Layer Structure Control of an Automatic Mechanical Transmission Clutch During Hill Start for Heavy-Duty Vehicles

Wang

et al. 2020

IEEE Access

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The engagement control of an automatic mechanical transmission (AMT) clutch during the hill start of a heavy-duty vehicle has a significant impact on the comfort, safety and service life of the vehicle. However, the control effect of a traditional control strategy can be easily affected by interference (clutch wear, temperature). Therefore, this paper proposes a two-layer structure control strategy based on an AMT clutch automatic actuator with the clutch engagement speed as the control target. First, the clutch automatic actuator is designed and the governing characteristics of the diesel engine and the control characteristics of the solenoid valve are studied. Second, a logic threshold control method and PID control method are adopted in the proposed two-layer structure control method. Moreover, the robustness of the proposed control algorithm is validated by a co-simulation platform (TruckSim, MATLAB/Simulink). Finally, experimental research under different slopes (13% and 22%) is carried out to verify the simulation results. The experimental results prove that compared with a single-layer control strategy, the two-layer control strategy proposed in this paper can shorten the start time by more than 10%, and reduce the vehicle start-up jerking by approximately 20%, which significantly improves the performance of the vehicle in the hill start process.

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Theoretical Studies of the Rectilinear Motion of the Axis of the Locked Wheel After Braking the Vehicle on the Uphill

Shuklinov

Leontiev

Макаров

et al. 2020

Advances in Intelligent Systems and Computing

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Drivability Improvement Control for Vehicle Start-Up Applied to an Automated Manual Transmission

Cited by 8 publications

References 15 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

Two-Layer Structure Control of an Automatic Mechanical Transmission Clutch During Hill Start for Heavy-Duty Vehicles

Theoretical Studies of the Rectilinear Motion of the Axis of the Locked Wheel After Braking the Vehicle on the Uphill

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