Xianke Lin
Orcid: 0000-0001-5695-248XAffiliations:
- University of Ontario Institute of Technology (Ontario Tech University), Department of Automotive, Mechanical and Manufacturing Engineering, Oshawa, Canada
- University of Michigan, Ann Arbor, MI, USA (PhD 2014)
According to our database1,
Xianke Lin
authored at least 29 papers
between 2019 and 2024.
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Bibliography
2024
Multi-Agent Deep Reinforcement Learning-Based Multi-Objective Cooperative Control Strategy for Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., August, 2024
Traffic Information-Based Hierarchical Control Strategies for Eco-Driving of Plug-In Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., March, 2024
Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios.
IEEE CAA J. Autom. Sinica, January, 2024
2023
Uncertainty-Aware Decision-Making for Autonomous Driving at Uncontrolled Intersections.
IEEE Trans. Intell. Transp. Syst., September, 2023
Battery States Monitoring for Electric Vehicles Based on Transferred Multi-Task Learning.
IEEE Trans. Veh. Technol., August, 2023
Dynamic Traffic Prediction-Based Energy Management of Connected Plug-In Hybrid Electric Vehicles with Long Short-Term State of Charge Planning.
IEEE Trans. Veh. Technol., May, 2023
Efficient Stereo Depth Estimation for Pseudo-LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder.
Sensors, February, 2023
Eng. Appl. Artif. Intell., 2023
2022
Multi-Objective Design Optimization of a Novel Dual-Mode Power-Split Hybrid Powertrain.
IEEE Trans. Veh. Technol., 2022
Highway Decision-Making and Motion Planning for Autonomous Driving via Soft Actor-Critic.
IEEE Trans. Veh. Technol., 2022
Q-Learning-Based Supervisory Control Adaptability Investigation for Hybrid Electric Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022
A Review of Second-Life Lithium-Ion Batteries for Stationary Energy Storage Applications.
Proc. IEEE, 2022
Image- and health indicator-based transfer learning hybridization for battery RUL prediction.
Eng. Appl. Artif. Intell., 2022
CoRR, 2022
2021
Improving Ride Comfort and Fuel Economy of Connected Hybrid Electric Vehicles Based on Traffic Signals and Real Road Information.
IEEE Trans. Veh. Technol., 2021
Predictive Battery Health Management With Transfer Learning and Online Model Correction.
IEEE Trans. Veh. Technol., 2021
Remaining Useful Life Prediction Using a Novel Feature-Attention-Based End-to-End Approach.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Ind. Electron., 2021
2020
An MPC-Based Control Strategy for Electric Vehicle Battery Cooling Considering Energy Saving and Battery Lifespan.
IEEE Trans. Veh. Technol., 2020
Designing Multi-Mode Power Split Hybrid Electric Vehicles Using the Hierarchical Topological Graph Theory.
IEEE Trans. Veh. Technol., 2020
An adversarial bidirectional serial-parallel LSTM-based QTD framework for product quality prediction.
J. Intell. Manuf., 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Online Estimation of Diffusion-Induced Stress in Cathode Particles of Li-Ion Batteries.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
A Novel Deep Learning-Based Encoder-Decoder Model for Remaining Useful Life Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019