Yuanjian Zhang
Orcid: 0000-0001-5563-8480Affiliations:
- Loughborough University, Leicestershire, UK
According to our database1,
Yuanjian Zhang
authored at least 26 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Collaborative Decision Making With Hybrid Deep Reinforcement Learning for Connected and Autonomous Vehicles in Mixed Traffic.
IEEE Trans. Intell. Transp. Syst., October, 2025
Integrated Distributed Model Predictive Control for Vehicular Platoon Considering Node Vehicle Dynamics.
IEEE Trans. Veh. Technol., August, 2025
Decision Making of Automated Vehicles in Mixed Environment Based on Bayesian Sequential Games.
IEEE Trans. Intell. Transp. Syst., August, 2025
Efficient and Balanced Exploration-Driven Decision Making for Autonomous Racing Using Local Information.
IEEE Trans. Intell. Veh., March, 2025
IEEE Trans. Intell. Transp. Syst., January, 2025
2024
Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction.
IEEE Trans. Intell. Veh., September, 2024
Co-Optimization of Velocity Planning and Energy Management for Intelligent Plug-In Hybrid Electric Vehicles Based on Adaptive Dynamic Programming.
IEEE Trans. Veh. Technol., July, 2024
A Learning-and-Tube-Based Robust Model Predictive Control Strategy for Plug-In Hybrid Electric Vehicle.
IEEE Trans. Intell. Veh., January, 2024
2023
State of health estimation for lithium-ion batteries based on hybrid attention and deep learning.
Reliab. Eng. Syst. Saf., April, 2023
Cooperative Ecological Adaptive Cruise Control for Plug-In Hybrid Electric Vehicle Based on Approximate Dynamic Programming.
IEEE Trans. Veh. Technol., March, 2023
Online Capacity Estimation of Lithium-Ion Batteries Based on Deep Convolutional Time Memory Network and Partial Charging Profiles.
IEEE Trans. Veh. Technol., 2023
2022
Integrated Velocity Prediction Method and Application in Vehicle-Environment Cooperative Control Based on Internet of Vehicles.
IEEE Trans. Veh. Technol., 2022
A Novel Model Predictive Control Based Co-Optimization Strategy for Velocity Planning and Energy Management of Intelligent PHEVs.
IEEE Trans. Veh. Technol., 2022
A Data-Driven Method for the Estimation of Truck-State Parameters and Braking Force Distribution.
Sensors, 2022
Remaining capacity estimation for lithium-ion batteries via co-operation of multi-machine learning algorithms.
Reliab. Eng. Syst. Saf., 2022
Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning.
CoRR, 2022
Real-Time Energy Management for Plug-in Hybrid Electric Vehicles via Incorporating Double-Delay Q-Learning and Model Prediction Control.
IEEE Access, 2022
DRL-ECMS: An Adaptive Hierarchical Equivalent Consumption Minimization Strategy Based on Deep Reinforcement Learning.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
2021
A Cyber-Physical System-Based Velocity-Profile Prediction Method and Case Study of Application in Plug-In Hybrid Electric Vehicle.
IEEE Trans. Cybern., 2021
Operation Efficiency Optimization for Permanent Magnet Synchronous Motor Based on Improved Particle Swarm Optimization.
IEEE Access, 2021
2020
Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Capacity Estimation and Box-Cox Transformation.
IEEE Trans. Veh. Technol., 2020
Control Strategy for an Open-End Winding Induction Motor Drive System for Dual-Power Electric Vehicles.
IEEE Access, 2020
Capacity Prediction and Validation of Lithium-Ion Batteries Based on Long Short-Term Memory Recurrent Neural Network.
IEEE Access, 2020
2019
A Vehicle-Environment Cooperative Control Based Velocity Profile Prediction Method and Case Study in Energy Management of Plug-in Hybrid Electric Vehicles.
IEEE Access, 2019
A Hierarchical Energy Management Strategy Based on Model Predictive Control for Plug-In Hybrid Electric Vehicles.
IEEE Access, 2019