Xiaolin Tang (唐小林)
Xiaolin Tang (唐小林)
Professor, Department of Automotive Engineering, Chongqing University
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Cost-optimal energy management of hybrid electric vehicles using fuel cell/battery health-aware predictive control
X Hu, C Zou, X Tang, T Liu, L Hu
ieee transactions on power electronics 35 (1), 382-392, 2019
Noise and vibration suppression in hybrid electric vehicles: State of the art and challenges
Y Qin, X Tang, T Jia, Z Duan, J Zhang, Y Li, L Zheng
Renewable and Sustainable Energy Reviews 124, 109782, 2020
Nonlinear fractional-order estimator with guaranteed robustness and stability for lithium-ion batteries
C Zou, X Hu, S Dey, L Zhang, X Tang
IEEE Transactions on Industrial Electronics 65 (7), 5951-5961, 2017
A novel simplified model for torsional vibration analysis of a series-parallel hybrid electric vehicle
X Tang, W Yang, X Hu, D Zhang
Mechanical Systems and Signal Processing 85, 329-338, 2017
Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge
S Xie, X Hu, S Qi, X Tang, K Lang, Z Xin, J Brighton
Energy 173, 667-678, 2019
Electrothermal dynamics-conscious lithium-ion battery cell-level charging management via state-monitored predictive control
C Zou, X Hu, Z Wei, X Tang
Energy 141, 250-259, 2017
Adaptive hierarchical energy management design for a plug-in hybrid electric vehicle
T Liu, X Tang, H Wang, H Yu, X Hu
IEEE Transactions on Vehicular Technology 68 (12), 11513-11522, 2019
Novel torsional vibration modeling and assessment of a power-split hybrid electric vehicle equipped with a dual-mass flywheel
X Tang, X Hu, W Yang, H Yu
IEEE transactions on vehicular technology 67 (3), 1990-2000, 2017
Cyber-physical control for energy-saving vehicle following with connectivity
X Hu, H Wang, X Tang
IEEE Transactions on industrial electronics 64 (11), 8578-8587, 2017
Naturalistic data-driven predictive energy management for plug-in hybrid electric vehicles
X Tang, T Jia, X Hu, Y Huang, Z Deng, H Pu
IEEE Transactions on Transportation Electrification 7 (2), 497-508, 2020
Research on the energy control of a dual-motor hybrid vehicle during engine start-stop process
X Tang, D Zhang, T Liu, A Khajepour, H Yu, H Wang
Energy 166, 1181-1193, 2019
Model predictive control of hybrid electric vehicles for fuel economy, emission reductions, and inter-vehicle safety in car-following scenarios
X Hu, X Zhang, X Tang, X Lin
Energy 196, 117101, 2020
A fast learning method for accurate and robust lane detection using two-stage feature extraction with YOLO v3
X Zhang, W Yang, X Tang, J Liu
Sensors 18 (12), 4308, 2018
Distributed deep reinforcement learning-based energy and emission management strategy for hybrid electric vehicles
X Tang, J Chen, T Liu, Y Qin, D Cao
IEEE Transactions on Vehicular Technology 70 (10), 9922-9934, 2021
Configuration optimization for improving fuel efficiency of power split hybrid powertrains with a single planetary gear
H Pei, X Hu, Y Yang, X Tang, C Hou, D Cao
Applied energy 214, 103-116, 2018
Driving conditions-driven energy management strategies for hybrid electric vehicles: A review
T Liu, W Tan, X Tang, J Zhang, Y Xing, D Cao
Renewable and Sustainable Energy Reviews 151, 111521, 2021
Data-driven fault diagnosis and thermal runaway warning for battery packs using real-world vehicle data
L Jiang, Z Deng, X Tang, L Hu, X Lin, X Hu
Energy 234, 121266, 2021
Longevity-conscious energy management strategy of fuel cell hybrid electric Vehicle Based on deep reinforcement learning
X Tang, H Zhou, F Wang, W Wang, X Lin
Energy 238, 121593, 2022
Double deep reinforcement learning-based energy management for a parallel hybrid electric vehicle with engine start–stop strategy
X Tang, J Chen, H Pu, T Liu, A Khajepour
IEEE Transactions on Transportation Electrification 8 (1), 1376-1388, 2021
Comparative study of trajectory tracking control for automated vehicles via model predictive control and robust H-infinity state feedback control
K Yang, X Tang, Y Qin, Y Huang, H Wang, H Pu
Chinese Journal of Mechanical Engineering 34 (1), 1-14, 2021
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