A5090285560- Vehicle Dynamics and Control Systems
- Advanced Control Systems Optimization
- Vehicle emissions and performance
- Transport Systems and Technology
- Real-time simulation and control systems
- Air Quality Monitoring and Forecasting
- Transportation Planning and Optimization
- Fuzzy Logic and Control Systems
- Air Quality and Health Impacts
- Fault Detection and Control Systems
- Mechanical Engineering and Vibrations Research
- Aerodynamics and Fluid Dynamics Research
- Electric and Hybrid Vehicle Technologies
- Traffic control and management
- Soil Mechanics and Vehicle Dynamics
- Infrastructure Resilience and Vulnerability Analysis
- Transportation and Mobility Innovations
- Maritime Transport Emissions and Efficiency
- Catalytic Processes in Materials Science
- EEG and Brain-Computer Interfaces
Beihang University
2020-2024
The Paris Agreement set global energy conservation and emission reduction standards in 2016, the ambitious goal of carbon neutrality must be achieved by 2050. However, conflicts between environmental protection, economic development social fairness constrain sustainable transportation systems. At same time, automotive industry believes that large-scale application autonomous driving technology is expected can provide a new solution to improve sustainability system. Meanwhile, vehicles...
The tire-road friction coefficient (TRFC) is critical to the control of assisted and autonomous vehicles. However, direct measurement TRFC by existing sensors impossible. In this paper, we aim develop a scheme estimate based on mathematical model measurable vehicle states. To address issue, first dynamics wheel rotation model. Based two models, propose robust proportional multiple-integral (PMI) observers for longitudinal lateral tire-force estimation. reduce conservative conventional H∞...
In this paper, a sensor fault estimation scheme based on dynamic observer and neural network is proposed for autonomous vehicles. For simultaneous state estimation, the faults are augmented as model states. Since longitudinal velocity time-varying parameter which brings challenges to designing observer, original converted Takagi-Sugneo (T-S) fuzzy form. The linearization, unmodeled dynamics, exogenous disturbancecause modeling uncertainty degrades performance. To cope with problem...
Abstract：Four-wheel independently driving electric vehicles are one of the most promising vehicle schemes.Because wheel motor is driven independently, operability system improved, and energy consumption generated by tire can be controlled, which provides development potential for control on automobile energy-saving.An accurate model longitudinal lateral four-wheel key point while it theorical basis saving control.At present, research models slip, modeling need to further improved.Based...
Longitudinal and lateral tire force estimation of four-wheel drive vehicle is addressed in this paper. Firstly, the longitudinal estimated, then estimated treated as known input to estimate force. To solve uncertainty nonlinearity model, a robust PMI observer based on LPV model proposed. Particle swarm optimization (PSO) algorithm applied find an optimal solution. The simulation results verify effectiveness proposed observer.
Driving cycles are widely used in testing fuel consumption and vehicle emission. To develop a representative driving cycle for Chinese switch locomotives, 224 day's data of assembling mode transfer is collected. Linear interpolation Kalman filter applied to re-sample with fixed sampling frequency eliminate measurement deviation, respectively. Then, divide all by idle start point into microtrips. This paper proposed nine characteristic parameters quantify features Principal component analysis...