Study on the Control Strategy of Shifting Time Involving Multigroup Clutches

Zhu, Zhen; Xiang, Gao; Pan, Daoyuan; Zhu, Yu; Cao, Leilei

doi:10.1155/2016/9523251

Cited by 9 publications

(5 citation statements)

References 31 publications

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“…Rossetti and Macor 49 put forward multi-objective optimization focused on better efficiency as well as other factors, such as smaller size. They took a co-simulation approach, as shown in Figure 6 50 , combining the Multi-Objective Particle Swarm Optimizer algorithm in MATLAB (The MathWorks, Natick, MA) and established the system model in AMESim (Siemens PLM Software, Plano, TX), transmitting the AMESim result to MATLAB after several iterations to get the Pareto optimization result. Through this method, they found that the input coupled transmission was suitable for small displacements, while the output coupled transmission was suitable for large displacements.…”

Section: Key Technologies Status and Trendsmentioning

confidence: 99%

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Hydro-mechanical power split transmissions: Progress evolution and future trends

Cao

Cheng

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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The hydro-mechanical power split transmission is an important form of hydraulic hybrid transmission, combining the stepless speed characteristics of hydraulic transmission and the high efficiency of mechanical transmission. Recently, the hydro-mechanical power split transmission, with its relatively large potential for energy recovery and improving the environment, and its low cost, has attracted many scholars from all over the world. Because there are many types of hydro-mechanical power split transmission, the different forms are complex, and researchers across the world are relatively dispersed, it has experienced a long and arduous development process. Therefore, it is important to summarize the types, developments, and achievements of this transmission. From the recent literature at home and abroad, this paper summarizes developments, key techniques and trends, analyses problems and difficulties in design and application, discusses the methods for solving these problems, and provides references for the development and application of hydro-mechanical power split transmission.

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Section: Key Technologies Status and Trendsmentioning

confidence: 99%

“…Pan et al 33 and Zhu et al 50 studied the effects of physical parameters (engine rotating speed, load torque, main circuit pressure, and speed valve flow rate) and shift time on shift quality. Shift time had previously always been ignored, because it played a limited role in a few clutch systems.…”

Section: Key Technologies Status and Trendsmentioning

confidence: 99%

Hydro-mechanical power split transmissions: Progress evolution and future trends

Cao

Cheng

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Furthermore, some researchers optimized the shifting process of automatic transmission in other ways, such as minimizing the jerk 11 and reducing greenhouse gas emission. 12 Other researchers presented dynamic analyzes of mathematical models that were used to study the control strategy of hydromechanical continuously variable transmission (HMCVT) 13 to improve shifting quality.…”

Section: Introductionmentioning

confidence: 99%

DRNN-based shift decision for automatic transmission

Gao

Ping

et al. 2020

Advances in Mechanical Engineering

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In research on intelligent shift for automatic transmission, the neural network selected has no feedback and lacks an associative memory function. Thus, its adaptability needs to be improved. To achieve this, an automatic shift strategy based on a deep recurrent neural network (DRNN) is proposed. First, a neural network framework was designed in combination with an eight-speed gearbox that matches a particular type of vehicle. Then, the working principle of the DRNN was applied to the shifting process of an automatic gearbox, and the implementation model of the shift logic was established in MATLAB/Stateflow. A data sample obtained from the model was used to train the DRNN. Training and evaluation of the DRNN were accomplished in Python. Finally, a simulation comparison of the DRNN with a back-propagation (BP) neural network proved that after the epochs have been increased, the DRNN has higher precision and adaptation than a BP neural network. This research provides a theoretical basis and technical support for intelligent control of automatic transmission.

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“…In the control of HMT, Savaresi et al [20,21] designed a controller for a six-range power split continuous variable transmission. Zhu et al [22,23] studied the control strategy for a seven-range HMT based on the shifting time. Cheong et al [24,25] studied the control of hydromechanical hydraulic hybrid vehicles.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Power Transition in Full Power Shift of Hydromechanical Transmission

Bao

Zhong

Yang

2020

Mathematical Problems in Engineering

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This paper shall explore the dynamics of power transition in full power shift of hydromechanical transmission (HMT) and focus on the ideal target displacement ratio. An arithmetic two-range HMT is taken as the research object. A mathematical model of power transition in full power shift is established, including the hydraulic transmission unit model and the brake torque model during the double brakes overlapping. Aiming at the constant output power of HMT in the shift process, a prediction model of the displacement ratio target value is established, and the prediction method is proposed. By combining theoretical analysis and experimental research, it proves that the power transition model can describe the power transition process. And the prediction method of the displacement ratio target value proposed in this paper can complete the power transition when the double brakes overlap. In the power shift process, the output power can be transmitted normally in full power. The power transition model and the prediction method of the displacement ratio target value can provide theoretical and engineering references for the full power shift of HMT.

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Study on the Control Strategy of Shifting Time Involving Multigroup Clutches

Cited by 9 publications

References 31 publications

Hydro-mechanical power split transmissions: Progress evolution and future trends

Hydro-mechanical power split transmissions: Progress evolution and future trends

DRNN-based shift decision for automatic transmission

Modeling of Power Transition in Full Power Shift of Hydromechanical Transmission

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