Chao Yang
Orcid: 0000-0001-9255-0752Affiliations:
- Yanshan University, Institute of Electric Engineering, Qinhuangdao, China
- Tsinghua University, State Key Laboratory of Automotive Safety and Energy, Beijing, China
According to our database1,
Chao Yang
authored at least 33 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
A Self-Triggered MPC Strategy With Adaptive Prediction Horizon for Series Hybrid Electric Powertrains.
IEEE Trans. Ind. Informatics, April, 2024
A Self-Trajectory Prediction Approach for Autonomous Vehicles Using Distributed Decouple LSTM.
IEEE Trans. Ind. Informatics, April, 2024
A Rolling Convergent Equivalent Consumption Minimization Strategy for Plug-in Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., March, 2024
Chassis Global Dynamics Optimization for Automated Vehicles: A Multiactuator Integrated Control Method.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
Adaptive Take-Off Controller of a Land-Air Amphibious Vehicle on Unstructured Terrain.
IEEE Trans. Veh. Technol., 2024
2023
Cyber-Physical Optimization-Based Fuzzy Control Strategy for Plug-in Hybrid Electric Buses Using Iterative Modified Particle Swarm Optimization.
IEEE Trans. Intell. Veh., May, 2023
A Path Planning Learning Strategy Design for a Wheel-Legged Vehicle Considering Both Distance and Energy Consumption.
IEEE Trans. Veh. Technol., April, 2023
An Improved Model Predictive Control-Based Trajectory Planning Method for Automated Driving Vehicles Under Uncertainty Environments.
IEEE Trans. Intell. Transp. Syst., April, 2023
Trajectory prediction method using deep learning for intelligent and connected vehicles.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
Lane-Changing Decision-Making Method for Autonomous Vehicles Considering Multi-Vehicle Interactions.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023
2022
An Adaptive Constrained Path Following Control Scheme for Autonomous Electric Vehicles.
IEEE Trans. Veh. Technol., 2022
An Optimization-Based Path Planning Approach for Autonomous Vehicles Using the DynEFWA-Artificial Potential Field.
IEEE Trans. Intell. Veh., 2022
Adaptive Model Predictive Control-Based Path Following Control for Four-Wheel Independent Drive Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022
An Intelligent Lane-Changing Behavior Prediction and Decision-Making Strategy for an Autonomous Vehicle.
IEEE Trans. Ind. Electron., 2022
A Two-Layer Real-Time Optimal Control for Intelligent Hybrid Electric Vehicles with Connectivity.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
Cyber Physical Energy Optimization Control Design for PHEVs Based on Enhanced Firework Algorithm.
IEEE Trans. Veh. Technol., 2021
A novel path planning method for wheel-legged unmanned vehicles based on improved ant colony algorithm.
Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021
Clutch engaging phase linearization-based mode switching control method for parallel hybrid powertrain.
Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021
Research on Electric Power Coordinated Control Strategy Using Game Theory for Heavy Duty Hybrid Electric Vehicles.
Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021
Model Predictive Control Considering Engine On/Off and Mode Switch for Dual-mode Hybrid Electric Vehicle.
Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021
2020
Efficient Mode Transition Control for Parallel Hybrid Electric Vehicle With Adaptive Dual-Loop Control Framework.
IEEE Trans. Veh. Technol., 2020
A Stochastic Predictive Energy Management Strategy for Plug-in Hybrid Electric Vehicles Based on Fast Rolling Optimization.
IEEE Trans. Ind. Electron., 2020
An Adaptive Stochastic Model Predictive Control Strategy for Plug-in Hybrid Electric Bus During Vehicle-Following Scenario.
IEEE Access, 2020
A Convolutional Neural Network-Based Driving Cycle Prediction Method for Plug-in Hybrid Electric Vehicles With Bus Route.
IEEE Access, 2020
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
2019
Temporal-Difference Learning-Based Stochastic Energy Management for Plug-in Hybrid Electric Buses.
IEEE Trans. Intell. Transp. Syst., 2019
An effective regenerative braking strategy based on the combination algorithm of particle swarm optimization and ant colony optimization for electrical vehicle.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
2017
A novel combinatorial optimization algorithm for energy management strategy of plug-in hybrid electric vehicle.
J. Frankl. Inst., 2017
2016
Application-Oriented Stochastic Energy Management for Plug-in Hybrid Electric Bus With AMT.
IEEE Trans. Veh. Technol., 2016
Multimode Energy Management for Plug-In Hybrid Electric Buses Based on Driving Cycles Prediction.
IEEE Trans. Intell. Transp. Syst., 2016
Multi-Objective Stochastic MPC-Based System Control Architecture for Plug-In Hybrid Electric Buses.
IEEE Trans. Ind. Electron., 2016
2015
Correctional DP-Based Energy Management Strategy of Plug-In Hybrid Electric Bus for City-Bus Route.
IEEE Trans. Veh. Technol., 2015
Hybrid genetic algorithm-based optimization of powertrain and control parameters of plug-in hybrid electric bus.
J. Frankl. Inst., 2015