5 citations · 13 across the 9 of their papers we have counts for
9 papers
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning
Min Hua, Bin Shuai, Quan Zhou +3
The growing adoption of hybrid electric vehicles (HEVs) presents a transformative opportunity for revolutionizing transportation energy systems. The shift towards electrifying tran…
Study on the Impacts of Hazardous Behaviors on Autonomous Vehicle Collision Rates Based on Humanoid Scenario Generation in CARLA
Longfei Mo, Min Hua, Hongyu Sun +3
Testing of function safety and Safety Of The Intended Functionality (SOTIF) is important for autonomous vehicles (AVs). It is hard to test the AV's hazard response in the real worl…
Coordinated Control of Path Tracking and Yaw Stability for Distributed Drive Electric Vehicle Based on AMPC and DYC
Dongmei Wu, Yuying Guan, Xin Xia +5
Maintaining both path-tracking accuracy and yaw stability of distributed drive electric vehicles (DDEVs) under various driving conditions presents a significant challenge in the fi…
Multi-level decision framework collision avoidance algorithm in emergency scenarios
Guoying Chen, Xinyu Wang, Min Hua +1
With the rapid development of autonomous driving, the attention of academia has increasingly focused on the development of anti-collision systems in emergency scenarios, which have…
A Systematic Survey of Control Techniques and Applications in Connected and Automated Vehicles
Wei Liu, Min Hua, Zhiyun Deng +10
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger co…
Optimal Energy Management of Plug-in Hybrid Vehicles Through Exploration-to-Exploitation Ratio Control in Ensemble Reinforcement Learning
Bin Shuai, Min Hua, Yanfei Li +3
Developing intelligent energy management systems with high adaptability and superiority is necessary and significant for Hybrid Electric Vehicles (HEVs). This paper proposed an ens…
Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning
Min Hua, Cetengfei Zhang, Fanggang Zhang +4
The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is one of the pathways making contributions to decarbonization, and its energy management require…
Planning and Tracking Control of Full Drive-by-Wire Electric Vehicles in Unstructured Scenario
Guoying Chen, Min Hua, Wei Liu +3
Full drive-by-wire electric vehicles (FDWEV) with X-by-wire technology can achieve independent driving, braking, and steering of each wheel, providing a good application platform f…
Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning
Min Hua, Zhi Li, Quan Zhou
The future transportation system will be a multi-agent network where connected AI agents can work together to address the grand challenges in our age, e.g., mitigation of real-worl…