- Vehicle Dynamics and Control Systems
- Autonomous Vehicle Technology and Safety
- Traffic control and management
- Industrial Technology and Control Systems
- Soil Mechanics and Vehicle Dynamics
- Magnetic Bearings and Levitation Dynamics
- Tea Polyphenols and Effects
- Electric Power System Optimization
- Mechanical Engineering and Vibrations Research
- Optimal Power Flow Distribution
- Smart Grid and Power Systems
- Simulation and Modeling Applications
- Power Systems and Technologies
- Real-time simulation and control systems
- Power Systems and Renewable Energy
- Smart Grid Energy Management
- Control and Dynamics of Mobile Robots
- Vibration Control and Rheological Fluids
- Civil and Geotechnical Engineering Research
- Transportation Safety and Impact Analysis
- Electromagnetic Launch and Propulsion Technology
- Advanced Algorithms and Applications
- Advanced Computational Techniques and Applications
- Solar Thermal and Photovoltaic Systems
- Automotive and Human Injury Biomechanics
Chongqing University of Technology
2019-2024
Ministry of Education of the People's Republic of China
2023-2024
Southwest Jiaotong University
2022-2024
First Affiliated Hospital of Chengdu Medical College
2022
State Key Laboratory of Vehicle NVH and Safety Technology
2022
Southwest Forestry University
2021
National Taiwan Ocean University
2019
Taiyuan University of Science and Technology
2014
Thermal Power Research Institute
2008-2014
Guangdong Testing Institute for Product Quality Supervision
2014
The deregulation and reconstruction of the electric power industry worldwide raises many challenging issues related to economic reliable operation systems. Traditional unit commitment or hydrothermal scheduling problems have been integrated with generation resource bidding, but development optimization-based bidding strategies is only at a very preliminary stage. This paper presents strategy based on theory ordinal optimization that comparisons performance measures are robust respect noise...
The deregulation and reconstruction of the electric power industry worldwide raises many challenging issues related to economic reliable operation systems. Traditional unit commitment or hydrothermal scheduling problems have been integrated with generation resource bidding, but development optimization based bidding strategies is only at a very preliminary stage. This paper presents strategy on theory ordinal that comparisons performance measures are robust respect noise modeling error,...
<div>The key issues of automatic emergency braking (AEB) control algorithm are when and how to brake. This article proposes an AEB that integrates risk perception (RP) characteristics professional drivers for rear-end collision avoidance. Using the formulated RP by time (TTC) headway (THW), brake trigger can be determined. Based on driver fitting (PDF) characteristic, pattern developed. Through MATLAB/Simulink simulation platform, European New Car Assessment Programme (Euro-NCAP) test...
The contribution of this paper is to present an automatic emergency braking (AEB) optimized algorithm based on time collision (TTC) and a professional driver fitting (PDF) pattern. When the TTC value less than given threshold, PDF control will be started, vice versa. According standard test scenarios for passenger cars commercial vehicles, simulation analysis AEB systems using four different algorithms, namely TTC, quadratic curve deceleration, proposed algorithm, conducted, respectively....
The operation of the automatic emergency braking (AEB) system may lead to a significant increase in lateral offset vehicles curved road conditions, which can pose potential risk collisions with adjacent lanes or edges. In order address this issue, study proposes an integrated longitudinal and control strategy for collision avoidance during braking, utilizes algorithm based on Time Collision (TTC) yaw angle preview point deviation control. On one hand, AEB facilitates proactive intervention...
A pre-emptive braking control method is proposed to improve the stability of autonomous vehicles during emergency collision avoidance, aiming imitate realistic human driving experience. linear model predictive used derive front wheel steering angle track a predefined fifth-degree polynomial trajectory. Based on two-degrees-of-freedom (DOF) vehicle dynamics model, maximum stable speed avoidance can be determined. If actual exceeds speed, action will applied vehicle. Furthermore, four-wheel...
This paper proposes a combination method of longitudinal control and fuel management for an intelligent Hybrid Electric Vehicle (HEV) fleet. can reduce the consumption while maintaining distance speed each vehicle in An HEV system efficiency model was established to simulate impact different working modes. Based on principle optimal efficiency, energy strategy designed. Then, driver piloting following built by using fuzzy method. Finally, fleet matching were integrated with simulation...
Through the time-frequency analysis of propagation waveform acoustic emission (AE) signal propagating in thin sheet Pinus sylvestris var.mongolica, characteristics stress wave when as a lamb was studied.An AE source generated on surface specimen, discrete wavelet transform method used to achieve de-noising and reconstruct signal.On this basis, time difference positioning calculate velocity waves, compared with waves metal specimen.The results show that high-frequency mode attenuated sharply...
In order to improve the path tracking performance and stability of intelligent vehicles during steering collision avoidance working condition, an integrated control method combining four-wheel steering, active suspension direct yaw-moment is proposed. Firstly, a unified chassis dynamics model with 18 degrees-of-freedom (DOF) established, which includes braking subsystems. Phase plane analysis results for both traditional 2-DOF bicycle 18-DOF are compared. The show that although uneven road...
<div>Vehicle-to-everything (V2X) technology has played an important role in improving the active safety of autonomous vehicles. In order to improve stability vehicle on curved road, this article presents a pre-emptive braking control method based V2X technology. Instead using system try stabilize case danger, action is proposed reduce speed advance level that allows safe navigation turn avoid danger. It assumed friction and curvature road ahead can be obtained through Combined with...
<div>In order to reduce collision at a 90-degree intersection, an automatic emergency avoidance control method for intelligent vehicles based on vehicle-to-everything (V2X) technology is proposed. Most of the existing braking (AEB) algorithms are designed single high-friction road with reference European New Car Assessment Programme (Euro NCAP) evaluation procedures, and they do not consider changes in friction. Thus, it may be difficult avoid successfully low-friction road. Although...
Abstract There has been an increasing interest in solar-driven combined energy supply systems for low-temperate applications, particularly those based on the Organic Rankine Cycle (ORC), Kalina (KC), or Trilateral (TLC). However, these thermodynamic cycles usually employ large area collectors that stand alone are placed roof, without considering integration with building facade. This research presents a solution to large-scale photothermal utilization integrated facades co-generated systems....
<div>Single lane changing is one of the typical scenarios in vehicle driving. Planning an appropriate change trajectory crucial autonomous and semi-autonomous research. Existing polynomial planning mostly uses cubic or quintic polynomials, neglecting lateral jerk constraints during changes. This study seventh-degree polynomials for by considering constraints. Simulation results show that utilization method a 41% reduction compared to fifth-degree polynomial. Furthermore, this also...
A new type of electromagnetic linear actuator for vehicle active suspension is designed. Combined with the finite element analysis tool, effect structure parameters and power on thrust response studied. Based simulation results, a prototype developed. By comparison results experimental data, it shows correctness model design.