| 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 | 372 | 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 | 238 | 2020 |
| 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 | 189 | 2019 |
| 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 | 179 | 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 | 174 | 2017 |
| 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 | 174 | 2017 |
| Prediction-uncertainty-aware decision-making for autonomous vehicles X Tang, K Yang, H Wang, J Wu, Y Qin, W Yu, D Cao IEEE Transactions on Intelligent Vehicles 7 (4), 849-862, 2022 | 172 | 2022 |
| 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 | 169 | 2020 |
| 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 | 166 | 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 | 165 | 2017 |
| 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 | 158 | 2021 |
| 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 | 157 | 2017 |
| 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 | 133 | 2022 |
| 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 | 132 | 2021 |
| 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 | 129 | 2021 |
| 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 | 123 | 2020 |
| 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 | 120 | 2021 |
| 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 | 118 | 2019 |
| Powertrain design and control in electrified vehicles: A critical review X Hu, J Han, X Tang, X Lin IEEE transactions on transportation electrification 7 (3), 1990-2009, 2021 | 107 | 2021 |
| 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 | 105 | 2018 |
Xiaosong Hu 胡晓松Professor, Department of Mechanical and Vehicle Engineering, Chongqing UniversityVerified email at ieee.org