A5083074361- Traffic control and management
- Electric and Hybrid Vehicle Technologies
- Electric Vehicles and Infrastructure
- Vehicle emissions and performance
- Autonomous Vehicle Technology and Safety
- Advanced Battery Technologies Research
- Vehicle Dynamics and Control Systems
- Transportation Planning and Optimization
- Transportation and Mobility Innovations
- Vehicular Ad Hoc Networks (VANETs)
- Traffic Prediction and Management Techniques
- Real-time simulation and control systems
- Fatigue and fracture mechanics
- Mechanical Engineering and Vibrations Research
- Reinforcement Learning in Robotics
- Smart Agriculture and AI
- Indoor and Outdoor Localization Technologies
- Advancements in Battery Materials
- Probabilistic and Robust Engineering Design
- Surface Treatment and Residual Stress
- Engineering Applied Research
- Remote Sensing in Agriculture
- Metal and Thin Film Mechanics
- Target Tracking and Data Fusion in Sensor Networks
- Vehicle Routing Optimization Methods
Southeast University
2017-2025
Southeast University
2018-2023
State Key Laboratory of Industrial Control Technology
2019-2021
Anhui Medical University
2020
Zhejiang University of Technology
2019
Nanjing University of Science and Technology
2014-2017
University of Michigan
2016
Defence Science and Technology Group
2000-2014
California Maritime Academy
2003
UNSW Sydney
1996
The direct yaw moment control system of distributed drive electric vehicles provides a flexible scheme to enhance the vehicle stability through four independently driven in-wheel motors. However, nonlinearities may lead invalidation control. To this end, Takagi–Sugeno (T-S) fuzzy-based robust <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H∞</i> method is proposed ensure performance while addressing nonlinear challenge. First, thanks T-S...
Cooperative on-ramp merging control for connected and automated vehicles (CAVs) can effectively improve traffic throughput vehicle fuel efficiency at highway bottlenecks. However, in the mixed scenario where CAVs human-driven (HDVs) coexist, uncertain maneuvers of human drivers pose a major challenge to terms safety flexibility. To this end, paper proposes hierarchical cooperative strategy optimize flexible trajectories with guarantees traffic. First, problem is considered case three-vehicle...
Structures with negative Poisson's ratios have been widely applied in existing engineering, especially the field of energy absorption. To design double-arrowed auxetic structures to better absorb energy, it is essential conduct parametric analysis on their crashworthiness. In this paper, effect geometric parameters crashworthiness performance analyzed thoroughly both macro- and micro-sized scales. At macro scale, slenderness ratio size unit cell are analyzed. Additionally, critical derived...
This paper presents an integrated platoon control framework for heterogeneous vehicles on curved roads with varying slopes, aerodynamic drag, and wireless communication delays. First, a linear vehicle model decoupled longitudinal lateral dynamics is built based nonlinear feedback linearization arc-length parametric transformation of arbitrary road. The external disturbances are also considered, including the up-down road wind equivalent time-delays caused by delay discrete data in onboard...
Reconstitution of control architecture creates a great challenge for distributed drive electric vehicles (DDEV), due to the emergence new driving strategy. To this end, novel is proposed in paper integrated active front steering (AFS) system and direct yaw moment (DYC) system. First, multi-agent (MAS) employed construct general framework, where AFS DYC act as agents that work together improve vehicle lateral stability simultaneously reduce workloads drivers during path tracking. The...
Long queues of vehicles are often found at signalized intersections, which increases the energy consumption all involved. This paper proposes an enhanced eco-approach control (EEAC) strategy with consideration queue ahead for connected electric (EVs) a intersection. The discharge movement vehicle is predicted by improved prediction method (IQDP), takes both and driver dynamics into account. Based on queue, EEAC designed hierarchical framework: upper-stage uses dynamic programming to find...
Preceding vehicles typically dominate the movement of following in traffic systems, thereby significantly influencing efficacy eco-driving control that concentrates on vehicle speed optimization. To potentially mitigate negative effect preceding at signalized intersection, this study proposes an overtaking-enabled eco-approach (OEAC) strategy. It combines driving lane planning and optimization for connected automated to relax first-in-first-out queuing policy minimizing host vehicle's energy...
Hybrid powertrain technologies must be applied to sports utility vehicles (SUV) and light trucks (LT) in the near future meet new corporate average fuel economy standards. For SUV LT, multimode hybrid powertrains using multiple planetary gears (PGs) help deliver required torque while achieving better economy. Compared with single double PG systems, three-PG system can provide more design flexibility. However, it is not practical search through all possible designs exhaustive methods because...
Accurate knowledge of the vehicle states is foundation motion control. However, in real implementations, sensory signals are always corrupted by delays and noises. Network induced time-varying measurement noises can be a hazard active safety over-actuated electric vehicles (EVs). In this paper, brain-inspired proprioceptive system based on state-of-the-art deep learning data fusion technique proposed to solve problem autonomous four-wheel actuated EVs. A recurrent neural network (RNN)...
This paper proposes an integrated lane-change trajectory planning method for advanced driver assistance system of connected and automated vehicles. First, the time-based quintic polynomial model is presented, which could adjust longitudinal lateral velocity simultaneously. By tuning duration displacement in model, reference trajectories satisfying demands safety, duration, travel distance, comfort were derived under traffic-free condition. All feasible compose a map, includes different...