Yuanjian Zhang

发表

A novel data-driven controller for plug-in hybrid electric vehicles with improved adaptabilities to driving environment

Zheng Chen, Yu Liu, Yuanjian Zhang, 2021, Journal of Cleaner Production.

State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

Zheng Chen, Xing Shu, Jiangwei Shen, 2021, iScience.

Reinforcement-Learning-Based Decision and Control for Autonomous Vehicle at Two-Way Single-Lane Unsignalized Intersection

Gang Liu, Zheng Chen, Yuanjian Zhang, 2022, Electronics.

Alternative combined co-estimation of state of charge and capacity for lithium-ion batteries in wide temperature scope

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, Energy.

Optimal sizing and learning-based energy management strategy of NCR/LTO hybrid battery system for electric taxis

Guo-dong Yin, Ziyou Song, Junyan Niu, 2022, Energy.

State of Charge Estimation for Lithium-ion Battery Based on Hybrid Compensation Modeling and Adaptive H-Infinity Filter

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, IEEE Transactions on Transportation Electrification.

Integrated Velocity Prediction Method and Application in Vehicle-Environment Cooperative Control Based on Internet of Vehicles

J. Early, Zheng Chen, Yuanjian Zhang, 2022, IEEE Transactions on Vehicular Technology.

Stage of Charge Estimation of Lithium-Ion Battery Packs Based on Improved Cubature Kalman Filter With Long Short-Term Memory Model

Guang Li, Yonggang Liu, Zheng Chen, 2021, IEEE Transactions on Transportation Electrification.

Co-optimization of velocity planning and energy management for autonomous plug-in hybrid electric vehicles in urban driving scenarios

Y. Liu, Zheng Chen, Yuanjian Zhang, 2022, Energy.

State of health estimation for lithium-ion batteries based on hybrid attention and deep learning

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, Reliab. Eng. Syst. Saf..

Multi-step ahead voltage prediction and voltage fault diagnosis based on gated recurrent unit neural network and incremental training

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, Energy.

A predictive energy management strategy for multi-mode plug-in hybrid electric vehicles based on multi neural networks

Guang Li, Yonggang Liu, Zheng Chen, 2020, Energy.

A Flexible State-of-Health Prediction Scheme for Lithium-Ion Battery Packs With Long Short-Term Memory Network and Transfer Learning

Yonggang Liu, Jiangwei Shen, Xing Shu, 2021, IEEE Transactions on Transportation Electrification.

Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution

Guang Li, Yonggang Liu, Qiao Xue, 2021 .

State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network

Zheng Chen, Jiangwei Shen, Yuanjian Zhang, 2022, Journal of Power Sources.

A neural network-based ECMS for optimized energy management of plug-in hybrid electric vehicles

ZhiHang Chen, Zheng Chen, Yuanjian Zhang, 2021, Energy.

A survey on key techniques and development perspectives of equivalent consumption minimisation strategy for hybrid electric vehicles

Yuanjian Zhang, Ying Liu, Guang Li, 2021 .

Stochastic model predictive control for energy management of power-split plug-in hybrid electric vehicles based on reinforcement learning

Guang Li, Yonggang Liu, Zheng Chen, 2020, Energy.

Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Capacity Estimation and Box-Cox Transformation

Zheng Chen, Yuanjian Zhang, Yonggang Liu, 2020, IEEE Transactions on Vehicular Technology.

Cooperative charging management for electric vehicles via mobile edge computation

Guang Li, Chao Sun, Yonggang Liu, 2020 .

Machine learning and whale optimization algorithm based design of energy management strategy for plug‐in hybrid electric vehicle

Yuanjian Zhang, Jianhua Guo, Jiaming Xing, 2021, IET Intelligent Transport Systems.

Acquisition of full-factor trip information for global optimization energy management in multi-energy source vehicles and the measure of the amount of information to be transmitted

Yuanjian Zhang, Nan Xu, Kong Yan, 2021 .

A novel strategy for power sources management in connected plug-in hybrid electric vehicles based on mobile edge computation framework

Yonggang Liu, Wanming Hao, Zheng Chen, 2020 .

State of charge prediction framework for lithium-ion batteries incorporating long short-term memory network and transfer learning

Hanzhengnan Yu, Yonggang Liu, Xing Shu, 2021 .

Online diagnosis of state of health for lithium-ion batteries based on short-term charging profiles

Guang Li, Yonggang Liu, Zheng Chen, 2020 .

Rule learning based energy management strategy of fuel cell hybrid vehicles considering multi-objective optimization

Ming Ye, Yonggang Liu, Junjun Liu, 2020 .

Remaining capacity estimation for lithium-ion batteries via co-operation of multi-machine learning algorithms

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, Reliab. Eng. Syst. Saf..

Energy management for hybrid electric vehicles based on imitation reinforcement learning

Y. Liu, L. Li, Zheng Chen, 2022, Energy.

Machine Learning-Based Vehicle Model Construction and Validation—Toward Optimal Control Strategy Development for Plug-In Hybrid Electric Vehicles

Yonggang Liu, Juliana Early, Yuanjian Zhang, 2021, IEEE Transactions on Transportation Electrification.

A novel optimal power management strategy for plug-in hybrid electric vehicle with improved adaptability to traffic conditions

Nan Xu, Yonggang Liu, Chongfeng Wei, 2021 .

A Novel Learning-Based Model Predictive Control Strategy for Plug-In Hybrid Electric Vehicle

Yonggang Liu, Yuanjian Zhang, Zheng Chen, 2021, IEEE Transactions on Transportation Electrification.

Prediction of vehicle driving conditions with incorporation of stochastic forecasting and machine learning and a case study in energy management of plug-in hybrid electric vehicles

Zhenzhen Lei, Yonggang Liu, Yuanjian Zhang, 2021 .

Ensemble Learning and Voltage Reconstruction Based State of Health Estimation for Lithium-Ion Batteries With Twenty Random Samplings

Zheng Chen, Xing Shu, Jiangwei Shen, 2023, IEEE Transactions on Power Electronics.

Cooperative control strategy for plug-in hybrid electric vehicles based on a hierarchical framework with fast calculation

Yonggang Liu, Zheng Chen, Yuanjian Zhang, 2020 .

Operation Efficiency Optimization for Permanent Magnet Synchronous Motor Based on Improved Particle Swarm Optimization

Yuanjian Zhang, Jiangwei Shen, Xing Shu, 2021, IEEE Access.

An Optimal Control Strategy for Plug-In Hybrid Electric Vehicles Based on Enhanced Model Predictive Control With Efficient Numerical Method

Zheng Chen, Yuanjian Zhang, Yonggang Liu, 2022, IEEE Transactions on Transportation Electrification.

A Data-Driven Method for the Estimation of Truck-State Parameters and Braking Force Distribution

W. Sun, Yuanjian Zhang, Qunyi Chu, 2022, Italian National Conference on Sensors.

Driving behavior oriented torque demand regulation for electric vehicles with single pedal driving

Yonggang Liu, Xiaoxiang Na, Yuanjian Zhang, 2021 .

State of charge estimation framework for lithium‐ion batteries based on square root cubature Kalman filter under wide operation temperature range

Guang Li, Jian Xiong, Yonggang Liu, 2020, International Journal of Energy Research.

Protocol for state-of-health prediction of lithium-ion batteries based on machine learning

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, STAR protocols.

Capacity Prediction and Validation of Lithium-Ion Batteries Based on Long Short-Term Memory Recurrent Neural Network

Yuanjian Zhang, Yitao Wu, Jiangwei Shen, 2020, IEEE Access.

Online Capacity Estimation of Lithium-Ion Batteries Based on Deep Convolutional Time Memory Network and Partial Charging Profiles

Junqiu Li, Zheng Chen, Jiangwei Shen, 2023, IEEE Transactions on Vehicular Technology.

Hierarchical speed planning and energy management for autonomous plug-in hybrid electric vehicle in vehicle-following environment

Zheng Chen, Yuanjian Zhang, Yonggang Liu, 2022, Energy.

Data-driven based eco-driving control for plug-in hybrid electric vehicles

Zhenzhen Lei, Yonggang Liu, Yuanjian Zhang, 2021 .

Cooperative optimization of velocity planning and energy management for connected plug-in hybrid electric vehicles

Yonggang Liu, Yuanjian Zhang, Jie Li, 2021, Applied Mathematical Modelling.

Deep reinforcement learning-based eco-driving control for connected electric vehicles at signalized intersections considering traffic uncertainties

Y. Liu, Zheng Chen, A. Fotouhi, 2023, Energy.

A driving cycle construction methodology combining Markov chain with variation parameters and Monte Carlo

Peng Liu, Yuanjian Zhang, Shibo Li, 2020, 2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI).

A Novel Model Predictive Control Based Co-Optimization Strategy for Velocity Planning and Energy Management of Intelligent PHEVs

Zheng Chen, Yuanjian Zhang, Yonggang Liu, 2022, IEEE Transactions on Vehicular Technology.

Real-Time Energy Management for Plug-in Hybrid Electric Vehicles via Incorporating Double-Delay Q-Learning and Model Prediction Control

Zheng Chen, Jiangwei Shen, Yuanjian Zhang, 2022, IEEE Access.

Synthetic state of charge estimation for lithium-ion batteries based on long short-term memory network modeling and adaptive H-Infinity filter

Yonggang Liu, Jiangwei Shen, Xing Shu, 2021 .

Weighted double Q-learning based eco-driving control for intelligent connected plug-in hybrid electric vehicle platoon with incorporation of driving style recognition

Zheng Chen, Yuanjian Zhang, Shiquan Shen, 2024, Journal of Energy Storage.

Cooperative power management for range extended electric vehicle based on internet of vehicles

B. Gao, Zheng Chen, Yuanjian Zhang, 2023, Energy.

Hierarchical eco-driving control for plug-in hybrid electric vehicles under multiple signalized intersection scenarios

Y. Liu, Zheng Chen, Yuanjian Zhang, 2023, Journal of Cleaner Production.

Optimal Control Strategy for the Next Generation Range Extended Electric Bus

Juliana Early, Yuanjian Zhang, David Steele, 2020, SAE technical paper series.