Automatic Clutch Control Based on Estimation of Resistance Torque for AMT

Li, Liang; Wang, Xiangyu; Qi, Xiaowei; Li, Xujian; Cao, Dongpu; Zhu, Zaobei

doi:10.1109/tmech.2016.2517088

Cited by 64 publications

(25 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gao et al [25] proposed a clutch disengagement strategy for the shift control of automated manual transmissions based on a drive shaft torque observer. For precise position control of the clutch, Li et al [26] presented a control scheme using a model predictive control method with the correction of clutch wear based on the estimation of resistance torque. Berkel and Veldpaus [27] proposed a new controller design that explicitly separates the control laws for each objective by introducing three clutch engagement phases.…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…A model predictive control approach is developed in [13] to comply with constrains to ensure a comfortable lockup and to avoid the stall of the engine as well as to reduce the clutch engagement time. For example, a model predictive control method with the correction of clutch wear is proposed in [14] based on the estimation of resistance torque to achieve precise position control of the clutch. A modified predictive functional control approach with a sliding mode observer is proposed in [15] to obtain a satisfying performance for the automated clutch control of vehicle.…”

Section: Introductionmentioning

confidence: 99%

A Novel Control Method of Clutch During Mode Transition of Single-Shaft Parallel Hybrid Electric Vehicles

Ding

Jiao

2019

Electronics

View full text Add to dashboard Cite

The mode transition of single-shaft parallel hybrid electric vehicles (HEVs) between engine and motor has an important impact on power and drivability. Especially, in the process of mode transition from the pure motor-drive operating mode to the only engine-drive operating mode, the motor starting engine and the clutch control problem have an important influence on driving quality, and solutions have a bit of room for improving dynamic performance. In this paper, a novel mode transition control method is proposed to guarantee a fast and smooth mode transition process in this regard. First, an adaptive sliding mode control (A-SMC) strategy is presented to obtain the desired torque trajectory of the clutch transmission. Second, a proportional-integral (PI) observer is designed to estimate the actual transmission torque of the clutch. Meanwhile, a fractional order proportional-integral-differential (FOPID) controller with the optimized control parameters by particle swarm optimization (PSO) is employed to realize the accurate position tracking of the direct current (DC) motor clutch so as to ensure clutch transmission torque tracking. Finally, the effectiveness and adaptability to system parameter perturbation of the proposed control approach are verified by comparison with the traditional control strategy in a MATLAB environment. The simulation results show that the driving quality of the closed-loop system using the proposed control approach is obviously improved due to fast and smooth mode transition process and better adaptability.

show abstract

“…However, the motor power should be large enough to meet the acceleration and climbing requirements of EVs, which may greatly increase design cost and reduce economic performance [ 6 – 7 ]. To improve the dynamic and economic performances, motor equipped with automated manual transmission (AMT) configuration has been developed [ 8 – 9 ]. Owing to the advantages of large torque in low speed and large power in high speed of motor, AMT with two-speed ratio may be a convenient choice for EVs [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Receding horizon control strategy for an electric vehicle with dual-motor coupling system in consideration of stochastic vehicle mass

et al. 2018

View full text Add to dashboard Cite

Additional degrees of freedom existed in dual-motor coupling system bring considerable challenge to the optimal control of electric vehicles. Moreover, the stochastic characteristic of vehicle mass can further increase this challenge. A receding horizon control (RHC) strategy in consideration of stochastic vehicle mass is proposed in this study to respond to this challenge. Aiming at an electric vehicle with dual-motor coupling, a Markov chain is firstly deployed to predict future driving conditions by a formulated state transition probability matrix, based on historical driving cycles in real-world. Then, future required power is predicted by the predicted driving conditions, stochastic vehicle mass and road gradient, where the stochastic vehicle mass is formulated as stochastic variables in different bus stops. Finally, dynamic programming is employed to calculate the optimal vector of the vehicle within the defined prediction horizon, and only the first control values extracted from the optimal control vector are used to execute real-time power distribution control. The simulation results show that the proposed strategy is reasonable and can at least reduce electric consumption by 4.64%, compared with rule-based strategy.

show abstract

Automatic Clutch Control Based on Estimation of Resistance Torque for AMT

Cited by 64 publications

References 27 publications

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

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

A Novel Control Method of Clutch During Mode Transition of Single-Shaft Parallel Hybrid Electric Vehicles

Receding horizon control strategy for an electric vehicle with dual-motor coupling system in consideration of stochastic vehicle mass

Contact Info

Product

Resources

About