Quan Zhou
Orcid: 0000-0003-4216-3468Affiliations:
- University of Birmingham, Department of Mechanical Engineering, UK
According to our database1,
Quan Zhou
authored at least 20 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Simultaneous Estimation and Receding Horizon Sliding Control of Dog Clutch Coupling With Backlash for Rear Electrical Drivelines.
IEEE Trans. Veh. Technol., March, 2024
A Holistic Safe Planner for Automated Driving Considering Interaction With Human Drivers.
IEEE Trans. Intell. Veh., January, 2024
2023
Robust key parameter identification of dedicated hybrid engine performance indicators via K-fold filter collaborated feature selection.
Eng. Appl. Artif. Intell., November, 2023
Statistics-Guided Accelerated Swarm Feature Selection in Data-Driven Soft Sensors for Hybrid Engine Performance Prediction.
IEEE Trans. Ind. Informatics, April, 2023
IEEE Trans. Intell. Veh., February, 2023
IEEE CAA J. Autom. Sinica, 2023
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects.
CoRR, 2023
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning.
CoRR, 2023
Study on the Impacts of Hazardous Behaviors on Autonomous Vehicle Collision Rates Based on Humanoid Scenario Generation in CARLA.
CoRR, 2023
Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning.
CoRR, 2023
Optimal Energy Management of Plug-in Hybrid Vehicles Through Exploration-to-Exploitation Ratio Control in Ensemble Reinforcement Learning.
CoRR, 2023
2022
Cyber-Physical Data Fusion in Surrogate- Assisted Strength Pareto Evolutionary Algorithm for PHEV Energy Management Optimization.
IEEE Trans. Ind. Informatics, 2022
Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning.
CoRR, 2022
Multi-agent Deep Reinforcement Learning for Charge-sustaining Control of Multi-mode Hybrid Vehicles.
CoRR, 2022
2021
Knowledge Implementation and Transfer With an Adaptive Learning Network for Real-Time Power Management of the Plug-in Hybrid Vehicle.
IEEE Trans. Neural Networks Learn. Syst., 2021
2020
Back-to-Back Competitive Learning Mechanism for Fuzzy Logic Based Supervisory Control System of Hybrid Electric Vehicles.
IEEE Trans. Ind. Electron., 2020
Driver-Identified Supervisory Control System of Hybrid Electric Vehicles Based on Spectrum-Guided Fuzzy Feature Extraction.
IEEE Trans. Fuzzy Syst., 2020
A Moment-of-Inertia-Driven Engine Start-Up Method Based on Adaptive Model Predictive Control for Hybrid Electric Vehicles With Drivability Optimization.
IEEE Access, 2020
2019
Design optimisation and real-time energy management control of the electrified off-highway vehicle with artificial intelligence.
PhD thesis, 2019
2018
Cyber-Physical Energy-Saving Control for Hybrid Aircraft-Towing Tractor Based on Online Swarm Intelligent Programming.
IEEE Trans. Ind. Informatics, 2018