Power-By-Wire Piezoelectric-Hydraulic Pump Actuator for Automotive Transmission Shift Control

Clutch shift control is critical for the performance and fuel economy of automotive transmissions, including both automatic and hybrid transmissions. Among all the factors that influence clutch shift control, clutch fill and clutch engagement are crucial to realize a fast and smooth clutch shift. When the clutch is not engaged, the fluid held by the centrifugal force inside of the clutch chamber, which introduces additional pressure that will affect the subsequent clutch fill and engagement processes, should be released. To realize this function, a ball capsule system is introduced and mounted on the clutch chamber. When the clutch chamber is ready to be filled for engagement, the ball capsule needs to close quickly and remain closed until the clutch is disengaged. It is also desirable to have an appropriate closing velocity for the ball capsule to minimize noise and wear. In this paper, the ball capsule dynamics is modeled, in which the derivation of the ball capsule throttling area is considered novel and critical because of its asymmetrical nature. Through this, the ball capsule’s intrinsic positive feedback structure is also revealed, which is considered to be the key to realize a fast response. Moreover, through the system dynamics analysis, the slope angle of the capsule is found to be an effective control parameter for system performance and robustness. To this end, the optimal shape of the capsule is designed using dynamic programming to achieve the desired performance.

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Piezoelectric-hydraulic pump based band brake actuation system for automotive transmission control

10.1117/12.714929 ◽

2007 ◽

Cited By ~ 3

Author(s):

Gi-Woo Kim ◽

K. W. Wang

Keyword(s):

Hydraulic Pump ◽

Transmission Control ◽

Actuation System ◽

Automotive Transmission

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Application of ultra-high molecular weight polyethylene in a hydraulic drive

10.36652/0042-4633-2020-6-77-78 ◽

2020 ◽

pp. 77-78

Keyword(s):

Molecular Weight ◽

Low Temperature ◽

High Molecular Weight ◽

Hydraulic Drive ◽

Control Valve ◽

Hydraulic Control ◽

Hydraulic Motor ◽

Hydraulic Pump ◽

Hydraulic Oil ◽

Ultra High Molecular Weight

The use of ultra-high molecular weight polyethylene (UHMW PE) for the manufacture of various parts, in particular cuffs for hydraulic drives, is proposed. The properties and advantages of UHMW PE in comparison with other polyethylene materials are considered. Keywords ultra-high molecular weight polyethylene, hydraulic pump, hydraulic motor, hydraulic control valve, hydraulic oil, low temperature. [email protected]

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Modelling of the system “driver - automation - autonomous vehicle - road”

Open Engineering ◽

10.1515/eng-2020-0016 ◽

2020 ◽

Vol 10 (1) ◽

pp. 175-182 ◽

Cited By ~ 1

Author(s):

Grzegorz Koralewski

Keyword(s):

Autonomous Vehicles ◽

Combustion Engine ◽

Autonomous Vehicle ◽

Application Software ◽

Motion Simulation ◽

Gear Shift ◽

Shift Control ◽

Driving Torque ◽

Physical Quantities ◽

Motion Quality

AbstractThe work presents a simulation model of a “driver–automation–autonomous vehicles–road” system which is the basis for synthesis of automatic gear shift control system. The mathematical description makes use of physical quantities which characterise driving torque transformation from the combustion engine to the car driven wheels. The basic components of the model are algorithms for the driver’s action logic in controlling motion velocity, logic of gear shift control functioning regarding direction and moment of switching, for determining right-hand side of differential equations and for motion quality indicators. The model is realised in a form of an application software package, comprising sub-programmes for input data, for computerised motion simulation of cars with mechanical and hydro-mechanical – automatically controlled – transmission systems and for models of characteristic car routes.

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A Boom Energy Regeneration System of Hybrid Hydraulic Excavator Using Energy Conversion Components

Actuators ◽

10.3390/act10010001 ◽

2020 ◽

Vol 10 (1) ◽

pp. 1

Author(s):

Tri Cuong Do ◽

Duc Giap Nguyen ◽

Tri Dung Dang ◽

Kyoung Kwan Ahn

Keyword(s):

Management Strategy ◽

Electrical Energy ◽

Maximum Energy ◽

Regeneration System ◽

Hydraulic Pump ◽

Energy Management Strategy ◽

Energy Regeneration ◽

System A ◽

Time Optimal ◽

Novel Design

In this paper, a novel design of an energy regeneration system was proposed for recovering as well as reusing potential energy in a boom cylinder. The proposed system included a hydraulic pump/motor and an electrical motor/generator. When the boom moved down, the energy regeneration components converted the hydraulic energy to electrical energy and stored in a battery. Then, the regenerated energy was reused at subsequent cycles. In addition, an energy management strategy has been designed based on discrete time-optimal control to guarantee position tracking performance and ensure component safety during the operation. To verify the effectiveness of the proposed system, a co-simulation (using MATLAB and AMESim) was carried out. Through the simulation results, the maximum energy regeneration efficiency could achieve up to 44%. Besides, the velocity and position of the boom cylinder achieved good performance with the proposed control strategy.

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Robust augmented H∞ shift control strategy for power-split system with a two-speed AMT gearbox of a heavy commercial vehicle

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1177/0954407020977097 ◽

2020 ◽

pp. 095440702097709

Author(s):

Xiaohua Zeng ◽

Zhenwei Wang ◽

Dafeng Song ◽

Dongpo Yang

Keyword(s):

Control Strategy ◽

Commercial Vehicle ◽

Kinetic Equations ◽

Substantial Improvement ◽

Transmission System ◽

Power Sources ◽

Shift Control ◽

Power Split ◽

Heavy Commercial Vehicle ◽

Split System

The coordination control of a transmission system has gradually attracted more attention with the development of hybrid electric vehicles. However, nonlinear coupling of multiple power sources, superposition of different dynamic characteristics in multiple components, and withdrawal and intervention for a power-split powertrain with a two-speed automated manual transmission (AMT) gearbox can cause jerk and vibration of the transmission system during the shift, which has higher requirements and challenges for the overall performance improvement of the system. This paper designs a novel, robust, augmented H∞ shift control strategy for a power-split system with a two-speed AMT gearbox of a heavy commercial vehicle and verifies the strategy’s effectiveness with simulations and experiments. First, the dynamic plant model and kinetic equations are established, and the shift is divided into five stages to clearly reveal the jerk and vibration problem. Based on augmented theory, a robust H∞ shift control strategy is proposed. Shift coordination is transformed into a speed tracking problem, and state variable and disturbance are reconstructed to obtain a new augmented system. Simulation and hardware-in-the-loop test are carried out to verify the effectiveness of the strategy, which mainly includes simulation of pneumatic actuator and H∞ control strategy. Results show that the proposed H∞ control strategy can greatly reduce the jerk of the transmission system. The jerk produced by the proposed strategy is decreased from 20.4 to 4.07 m/s3, leading to a substantial improvement of 80%. Therefore, the proposed strategy may offer a theoretical reference for the actual vehicle controller during the shift.

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A Hydraulic Pump Fault Diagnosis Method Based on the Modified Ensemble Empirical Mode Decomposition and Wavelet Kernel Extreme Learning Machine Methods

Sensors ◽

10.3390/s21082599 ◽

2021 ◽

Vol 21 (8) ◽

pp. 2599

Author(s):

Zhenbao Li ◽

Wanlu Jiang ◽

Sheng Zhang ◽

Yu Sun ◽

Shuqing Zhang

Keyword(s):

Fault Diagnosis ◽

Extreme Learning Machine ◽

Recognition Accuracy ◽

Ensemble Empirical Mode Decomposition ◽

Hydraulic Pump ◽

Vibration Signals ◽

Mode Decomposition ◽

Diagnosis Method ◽

Kernel Extreme Learning Machine ◽

Learning Machine

To address the problem that the faults in axial piston pumps are complex and difficult to effectively diagnose, an integrated hydraulic pump fault diagnosis method based on the modified ensemble empirical mode decomposition (MEEMD), autoregressive (AR) spectrum energy, and wavelet kernel extreme learning machine (WKELM) methods is presented in this paper. First, the non-linear and non-stationary hydraulic pump vibration signals are decomposed into several intrinsic mode function (IMF) components by the MEEMD method. Next, AR spectrum analysis is performed for each IMF component, in order to extract the AR spectrum energy of each component as fault characteristics. Then, a hydraulic pump fault diagnosis model based on WKELM is built, in order to extract the features and diagnose faults of hydraulic pump vibration signals, for which the recognition accuracy reached 100%. Finally, the fault diagnosis effect of the hydraulic pump fault diagnosis method proposed in this paper is compared with BP neural network, support vector machine (SVM), and extreme learning machine (ELM) methods. The hydraulic pump fault diagnosis method presented in this paper can diagnose faults of single slipper wear, single slipper loosing and center spring wear type with 100% accuracy, and the fault diagnosis time is only 0.002 s. The results demonstrate that the integrated hydraulic pump fault diagnosis method based on MEEMD, AR spectrum, and WKELM methods has higher fault recognition accuracy and faster speed than existing alternatives.

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