Adaptive Starting Control Strategy for Hybrid Electric Vehicles Equipped with a Wet Dual-Clutch Transmission

Ji-lian, Guo; Zhang, Yunqing

doi:10.3390/act12030123

Cited by 7 publications

(4 citation statements)

References 38 publications

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“…The gear shift process of the DCT is divided into two phases: a torque phase, in which torque is transmitted, and an inertia phase, in which speed changes. In this process, speed synchronization occurs through a clutch and synchronizer [27,28]. Song et al [29] developed a DCT model that implemented a clutch damper to validate the DCT gear shift process.…”

Section: Model Outlinementioning

confidence: 99%

Development of a Real-Time Tractor Model for Gear Shift Performance Verification

Han,

Ahn,

Kwon

et al. 2023

Agriculture

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Verification of the system is essential during the development of a tractor; however, there are cost and time limitations when verification is performed on an actual tractor. To solve this problem, we developed a tractor model for real-time simulation to verify the gear shift performance of the tractor and evaluate the control algorithm. This study examined and modeled a dual-clutch transmission (DCT)-type 105 kW class tractor. The proportional control valve, synchronizer, and clutch were modeled to accurately implement the shift behavior, and the developed individual model was verified based on actual individual product test data. The 45 s driving simulation was conducted to confirm whether real-time simulation of the entire developed tractor model was possible and whether it simulated the behavior of the target tractor well. The driving simulation results confirmed that the driving speed of the tractor model matched the engine speed, transmission gear ratio, and tractor specifications, and the gear shift performance of the tractor model according to the number of gears was confirmed. The simulated model thus satisfies the characteristics of the target tractor and can be used to verify the gear shift performance, indicating that the model can verify the performance of the control algorithm in real time.

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Section: Model Outlinementioning

confidence: 99%

Development of a Real-Time Tractor Model for Gear Shift Performance Verification

Han,

Ahn,

Kwon

et al. 2023

Agriculture

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“…To accurately control the torque of the vehicle, positional closed-loop control [15,16] is generally used via an actuator, or torque control can be used directly [17,18]. Guo et al [19] propose a combined pressure feedback controller based on a PID algorithm to control the clutch torque to follow a reference torque trajectory. Feng et al [20] propose a real-time clutch target engagement trajectory planning strategy based on a gradient boosting decision tree.…”

Section: Introductionmentioning

confidence: 99%

Optimal Torque Control of the Launching Process with AMT Clutch for Heavy-Duty Vehicles

Geng,

Liu,

Liu

et al. 2024

Machines

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When launching a heavy-duty vehicle, torque and position control during automatic clutch engagement is critical, and the driver’s intention to launch and changes in the vehicle’s launching resistance make clutch control more complex. This paper analyses the automatic engagement process of automated mechanical transmission (AMT) clutches and proposes an optimal control of the clutch torque for launching heavy-duty vehicles. Firstly, a fuzzy neural network (FNN)-based vehicle launching states recognition (LSR) system is designed for distinguishing the driver’s launching intention and the vehicle’s launching equivalent moment of resistance. Secondly, jerk, friction work, and launching reserve power are taken as the performance indexes for clutch torque optimization, the weight coefficients of each performance index are adjusted according to the LSR results, and the optimal clutch torque is solved by using the minimum value principle based on the shooting method. Finally, simulations and tests are conducted to validate the strategy of optimizing clutch torque, and the impact of torque optimization on the position change during the engagement process is analyzed. The results indicate that under different driver’s intentions, vehicle masses, and road gradient conditions, the jerk, friction work, and slipping time of heavy vehicles during the launching process are improved by applying the optimization strategy.

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“…An accurate electric motor torque as well as the motor currents imposed in the nonlinear system were calculated through the nonlinear feedback control law in electric vehicles equipped with dry dual-clutch transmissions [13]. A fuzzy controller has been designed to identify the starting intention and determine the target torque under different working conditions [14]. In [15], a clutch control strategy was based on different fuzzy models under different starting conditions.…”

Section: Introductionmentioning

confidence: 99%

“…The BH characteristic of the magnetic materials forming the magnetic core, which was approximated linearly. More specifically, the BH characteristic of MR fluid (MRF-140CG [13]) and steel (ferritic steel 1.4016 [14]).…”

mentioning

confidence: 99%

Modeling and Experimental Characterization of a Clutch Control Strategy Using a Magnetorheological Fluid

Sciuto

Kowol

Capizzi

2023

Fluids

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In this paper, the characterization of a new clutch control strategy by means of a magnetorheological fluid (MR) has been investigated. The clutch system was designed and manufactured in the laboratory in order to determine its static and dynamic characteristics. As a result of experimental measurements, the torque control of the developed MR clutch was determined in the frequency and time domains, as were the analytical relationships describing the connection between the control and controlled variables. The obtained results demonstrate that the analytical models are in good agreement with the experimental data, with an overall error of about 7%.

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Adaptive Starting Control Strategy for Hybrid Electric Vehicles Equipped with a Wet Dual-Clutch Transmission

Cited by 7 publications

References 38 publications

Development of a Real-Time Tractor Model for Gear Shift Performance Verification

Development of a Real-Time Tractor Model for Gear Shift Performance Verification

Optimal Torque Control of the Launching Process with AMT Clutch for Heavy-Duty Vehicles

Modeling and Experimental Characterization of a Clutch Control Strategy Using a Magnetorheological Fluid

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