A5100391805- Vehicle Dynamics and Control Systems
- Electric and Hybrid Vehicle Technologies
- Industrial Technology and Control Systems
- Mechanical Engineering and Vibrations Research
- Gear and Bearing Dynamics Analysis
- Electric Vehicles and Infrastructure
- Advanced Battery Technologies Research
- Soil Mechanics and Vehicle Dynamics
- Real-time simulation and control systems
- Metal Forming Simulation Techniques
- Vehicle emissions and performance
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Advanced Combustion Engine Technologies
- Indoor and Outdoor Localization Technologies
- Target Tracking and Data Fusion in Sensor Networks
- Hydraulic and Pneumatic Systems
- GNSS positioning and interference
- Elevator Systems and Control
- Traffic control and management
- Autonomous Vehicle Technology and Safety
- Machine Fault Diagnosis Techniques
- Metallurgy and Material Forming
- Iterative Learning Control Systems
- Vibration Control and Rheological Fluids
Tokyo University of Agriculture and Technology
2023-2025
China Automotive Technology and Research Center
2015-2025
Nanjing University of Science and Technology
2011-2024
Second Affiliated Hospital of Dalian Medical University
2024
State Grid Corporation of China (China)
2024
First Automotive Works (China)
2022-2024
NARI Group (China)
2024
Beijing Institute of Technology
2024
Dalian Medical University
2024
Tongji University
2013-2023
Electrifying the ground vehicles is a promising approach to alleviating energy and climate issues. The adoption of an electric vehicle (EV) hybrid EV (HEV) has introduced significant impacts on various aspects design, especially chassis systems. When tend be lighter, smarter, autonomous, more electroactuators with wide-bandwidth control energy-regeneration capability are deployed instead traditional hydraulic ones improve dynamic performance. In this article, overview electrification...
Aiming at the accuracy of estimation vehicle’s mass center sideslip angle, an method slip angle based on general regression neural network (GRNN) and driver-vehicle closed-loop system has been proposed: regarding as time series mapping yaw speed lateral acceleration; using homogeneous design project to optimize training samples; building relationship among speed, same time, experimental measure verify validity this method. Estimation results real vehicle experiment show changing tendency....
Driving safety is quite significant for human drivers, especially in the emergencies and extreme conditions. To advance active of vehicles, a cooperative control framework proposed driver rear steering system (ARS). Human model established considering different driving characteristics to simulate drivers. Moreover, vehicle-road built ARS controller design. Then, performance indexes safety, i.e., lateral stability, handling performance, rollover prevention path tracking are defined....
<h3>Abstract</h3> Precise point positioning (PPP) service is of great significance for BDS. The design and implementation the are presented. PPP-B2b signal constructed, which efficient multiplexed with other components, achieves compatibility between two phases. A customized message format that can augment all visible satellites four core constellations in mainland China proposed. high-gain, 64-ary, low-density parity check (LDPC) coding used, facilitates integrated receivers. quality test...
In this study, an energy-saving control strategy based on instantaneous optimization is proposed to improve the energy efficiency of hybrid tractors. Using a parallel diesel–electric tractor as research object, topological and working characteristics were analyzed, coupled dynamic model rotary tillage plow was constructed. Aiming minimize equivalent fuel consumption entire machine, motor diesel engine torques taken variables, state charge power battery variable. Subsequently, proposed....
This paper proposes an energy management strategy for a series hybrid electric vehicle based on driving pattern recognition, condition prediction, and model predictive control to improve the fuel consumption while maintain state of charge battery. To further computational efficiency, discretization linearization is conducted, MPC problem transferred into quadratic programming problem, which can be solved by interior point method effectively. The simulation carried out using Matlab/Simulink...
An Internal Combustion Engine (ICE) suffers from extra gas injection and higher friction loss during operation in low temperatures, which provides the possibility for further improving energy efficiency/economy with multiple power sources a hybrid electric vehicle (HEV). However, it is challenging to provide real-time efficient engine on/off policy that integrating slow thermal dynamics uncertain traffic workload conditions. Existing solutions mainly focus on non-linear optimization or...
Model Predictive Control (MPC) is increasingly gaining popularity in a wide range of autonomous vehicle and driving assistant applications owing to its style optimality convenience handling multiple constraints. However, primary drawback online lies the high computational burden caused by complex non-linearity system stability The differential flatness property motion offers solution treating error signals as flat outputs for endogenous feedback linearization. Nevertheless, this approach...
The wheel-side electric drive system is a melding of vehicle powertrain and suspension system, which saves chassis space can adapt to different models. To achieve the goal highly modularized development, supposed meet requirements various working conditions without changing interface state. motor drives wheel through two-stage fixed axis helical gears, so transmission short in path acts as arm at same time. As result, gears are critical output robustness NVH performance. modeling accuracy...
Ride comfort and road holding ability of distributed drive electric vehicles are worsened due to large unsprung mass introduced by wheel side system. To diminish this negative effects, three approaches ("Suspension Reducer Integrated" Close-to-Wheel Drive System, "Dynamic Vibration Absorber" System in-wheel system with "Active Energy Regenerative Suspension") introduced. The corresponding dynamics analyzed the schemes provided. Evaluations suspension performance show superiorities these in...
A single-objective optimization energy management strategy (EMS) for an onboard hybrid storage system (HESS) light rail (LR) vehicles is proposed. The HESS uses batteries and supercapacitors (SCs). main objective of the proposed to reduce battery SC losses while maintaining state charge (SOC) within specific limits based on distance between consecutive LR stations. To do this, a series optimized SOC used prevent from becoming exhausted prematurely instead standard penalty term in cost...
Abstract Carburized gears are widely used in geared machines such as wind turbines. Contact fatigue problems occur engineering practice, reducing reliabilities of machines. failures related to many factors, gradients mechanical properties the hardening layer. In this work, an elastic-plastic contact model a carburized gear is developed based on finite element method evaluate failure risk, considering variations hardness and strength. The Dang Van multiaxial equivalent stress calculated via...
<h3>Abstract</h3> China is developing its BeiDou Satellite-Based Augmentation System (BDSBAS) in accordance with international standards, and it has provided initial Single Frequency (SF) Dual-Frequency Multi-Constellation (DFMC) services since July 2020. This paper gives a comprehensive introduction to BDSBAS from the aspects of general design, system time datum, coordinate reference signal characteristics. The performance requirements internationalization endeavors also are presented....
In this article, a single neuron adaptive proportional, integral, and derivative (PID) control scheme is proposed for greenhouse environment problem by employing Hebb learning algorithm tuning the parameters of controller. The takes advantage ability neuron, such as adaptivity, self-organizing, self-learning, it easily implemented has been successfully applied to climate problem. results show that PID can provide better closed-loop performance compared with conventional method.
The collision warning system (CWS) plays an essential role in vehicle active safety. However, traditional distance-measuring solutions, e.g., millimeter-wave radars, ultrasonic and lidars, fail to reflect vehicles’ relative attitude motion trends. In this paper, we proposed a vehicle-to-vehicle (V2V) cooperative (CCWS) consisting of ultra-wideband (UWB) positioning/directing module dead reckoning (DR) with wheel-speed sensors. Each has four UWB modules on the body corners two sensors rear...