A5100347831- Vehicle Dynamics and Control Systems
- Real-time simulation and control systems
- Hydraulic and Pneumatic Systems
- Autonomous Vehicle Technology and Safety
- Traffic control and management
- Vehicle emissions and performance
- Electric and Hybrid Vehicle Technologies
- Transplantation: Methods and Outcomes
- Organ Donation and Transplantation
- Air Quality Monitoring and Forecasting
- Transport Systems and Technology
- Transportation and Mobility Innovations
- Soil Mechanics and Vehicle Dynamics
- Organ Transplantation Techniques and Outcomes
- Engineering Applied Research
- Odor and Emission Control Technologies
- Smart Parking Systems Research
- Maritime Transport Emissions and Efficiency
- Transportation Planning and Optimization
- Mechanical Engineering and Vibrations Research
Tongji University
2020-2024
Ministry of Ecology and Environment
2023
Shanghai Pulmonary Hospital
2022
Southwest Forestry University
2019
University of Geneva
2019
Shandong University
2015
Shandong University of Science and Technology
2015
Slip rate control is important in improving vehicle stability and driving efficiency. In this paper, a robust slip system designed for distributed drive electric vehicles that consists of two estimators multi-driving conditions, speed estimator, an anti-windup variable structure tracking controller. Because there no driven wheel four-in-wheel-motor vehicle, the small large rates are based on dynamic kinematic methods, respectively, which can switch according to conditions. The convergence...
An integrated multi-constraint nonlinear model predictive control method is proposed to solve the problem of active obstacle avoidance under high speed emergency conditions. The intervention and exit mechanism algorithm set through minimum braking distance information current state vehicle. According different scenarios, path tracking controller integrates into objective function by setting risk index function, so as realize multi-objective optimization calculate front steering angle....
Through the implementation of active rear-wheel steering (ARS), response vehicle is significantly improved. In order to enhance maneuverability vehicle, a time-varying parameter-based Linear Quadratic Regulator (LQR) rear wheel control method proposed in this paper. A dynamic model established analyze load transfer. Steady-state turning tests under different lateral accelerations are conducted obtain stiffness at accelerations. The values then used update matrices design variable weighting...
The tire-road friction coefficient is critical to the performance of mobile robots working outdoors.However, it difficult measure using commercially available technology sensors.This paper presents a method estimating disturbance observer (DO) with compensator; chassis speed not needed.In this paper, torque produced by considered be disturbance.The DO compensator designed estimate dynamic behavior vehicle model, traction and wheel velocity.The simulation result shows that proposed can...
The printing industry has always been the key source of volatile organic compound(VOC) emissions in China. However, owing to complexity raw materials and processes, fine emission inventory its future reduction potential VOCs from have not well characterized. In this study, existing factors were improved, considering neglected semi/intermediate VOCs(S/IVOCs). An period 2011-2020 China was compiled. Through scenario analysis, under different scenarios 2030 predicted, analyzed. increased first...
Nowadays, braking energy recovery technology has been widely integrated into new energy-electric vehicle electromechanical systems, which can extend the mileage of vehicles. However, coordinating electric and hydraulic to ensure an optimum balance between safety is a relevant problem be worked out. This study proposes coordinated control strategy for electrohydraulic system. First, optimization distribution force elaborated. Then, ca based on explicit nonlinear model predictive...
Autonomous driving is a cutting-edge field of automotive intelligence development that can effectively improve safety and alleviate traffic congestion. Path-following control vital task for autonomous vehicles. However, the lag steering actuator deteriorate path-following accuracy system stability. This paper presents an efficient strategy vehicles ensures precise stable navigation. To address complex scenarios encountered in driving, this adopts nonlinear model predictive (NMPC) control....
Buses are expected to be punctual, but deviation from the schedule is a common occurrence. Transit signal priority (TSP) and conditional (CSP) methods help bus perform better by giving traffic bus. Markov decision process (MDP) suitable for modeling such sequential process. In this article, we point out property of system based on analysis driving We model with CSP as Then, Deep Q Network (DQN) algorithm applied solve MDP model. To best our knowledge, first time that scheduling problem has...