- Vehicle Dynamics and Control Systems
- Electric and Hybrid Vehicle Technologies
- Hydraulic and Pneumatic Systems
- Cavitation Phenomena in Pumps
- Vehicle emissions and performance
- Brake Systems and Friction Analysis
- Traffic control and management
- Cervical Cancer and HPV Research
- Gestational Diabetes Research and Management
- Adipokines, Inflammation, and Metabolic Diseases
- Vibration and Dynamic Analysis
- Stroke Rehabilitation and Recovery
- Muscle activation and electromyography studies
- Simulation and Modeling Applications
- Maternal and fetal healthcare
- Prosthetics and Rehabilitation Robotics
- Industrial Technology and Control Systems
- Mechanical Engineering and Vibrations Research
- Autonomous Vehicle Technology and Safety
- Real-time simulation and control systems
- Chemokine receptors and signaling
- Control and Dynamics of Mobile Robots
- Energy, Environment, and Transportation Policies
- Tribology and Wear Analysis
- Pregnancy and preeclampsia studies
Jilin University
2020-2024
State Key Laboratory of Automotive Simulation and Control
2020-2022
China University of Petroleum, East China
2018
China Agricultural University
2014
Realisation of high-precision trajectory tracking is the key technology to achieve unmanned driving, which has an important impact on vehicle handling stability, safety and comfort. However, many confounding factors seriously restrict performance pose a great challenge design controller for desired trajectory. A comprehensive method that combines feedforward backstepping sliding mode control proposed four-wheel independent driving–four-wheel steering (4WID-4WIS) vehicle, advantages...
Abstract. This paper will study a trajectory tracking control algorithm for electric vehicles based on terminal sliding mode controller. First, 3 degrees of freedom nonlinear vehicle model and controller-oriented 2 are established. The preview time is adaptively adjusted the model. Then, controller, which uses algorithm, designed. radial basis function (RBF) neural network used to approximate system variable parameters in online. At same time, fuzzy logic gain controller reduce chattering...
This paper proposes a torque loss calculation method considering the effect of frictional force between friction pair and hub, which is proposed to temperature variation characteristics different pairs in wet clutch. The verified by simulating complex operating conditions on experiment facilities. clutch during typical tested facilities, analyzed basis. results has shown that plate penultimate position highest, separator first last lowest, lining rises order engagement order. analysis...
In order to help patients with lower-limb dysfunction, a movable cable-driven rehabilitation robot was designed restore their motor function and improve quality of life. Through controlling the position / posture force lower limb, can achieve comprehensive trainings limbs. The assist in different stages carry out training passive, assistant active mode. kinematics modeling, statics modeling workspace analysis were worked out, configurations analyzed optimized based on these. Continuous cable...
The main purpose of this paper is to explore the importance external flow field circulation hydraulic torque converter assembly in analysis. Compared with simply considering internal characteristics, it has influence on analysis, characteristics and structural stress assembly. This models path different Schemes, pressures distribution impeller are analysed using computational fluid dynamics method (CFD). Scheme A adopts traditional idea, which performance. B contacts especially including...
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As a auxiliary braking device in vehicle's downhill process, parallel hydraulic retarder has strict requirements for its rapidity of response performance and accuracy torque. The uses high-pressure gas as the control medium, which pushes oil into working chamber through high-speed on/off valve. Because filling process is an indirect complicated gas–liquid movement during period affects process. In this paper, mechanical characteristics valve had analyzed by computational fluid dynamics....
When launching a heavy-duty vehicle, torque and position control during automatic clutch engagement is critical, the driver’s intention to launch changes in vehicle’s resistance make more complex. This paper analyses process of automated mechanical transmission (AMT) clutches proposes an optimal for vehicles. Firstly, fuzzy neural network (FNN)-based vehicle states recognition (LSR) system designed distinguishing equivalent moment resistance. Secondly, jerk, friction work, reserve power are...
<div>For heavy-duty vehicles equipped with automated mechanical transmission (AMT), the control of automatic clutch torque is crucial during start-up process. However, difficulty controlling exacerbated by differences in driver’s starting intentions, changes vehicle mass, and road gradient. Therefore, this article proposes optimization strategy based on intelligent recognition intention, First, an proposed combination data-driven onboard unit (TCU) algorithms, which improves accuracy...
As an essential part of the transportation industry, it is necessary to reduce fuel consumption commercial vehicles from perspective environment and economy. Previous studies have shown that optimizing gear sequence can vehicle consumption. This paper presents a decision method based on predictive road information. Under model control framework, dynamic programming algorithm used solve multi-objective optimization problem decision. To long calculation time algorithm, nonlinear optimize...
For plug-in hybrid electric vehicle, an objective evaluation index for ride comfort during mode switching is proposed and theoretically analyzed. A test designed to obtain the subjective results of switching. Based on data, analysis research are conducted, Pearson correlation coefficient used verify consistency indicators scores, establishment a model switch between models through neural network improve efficiency reliability vehicle development.