Machine learning and whale optimization algorithm based design of energy management strategy for plug‐in hybrid electric vehicle Z Hou, J Guo, J Xing, C Guo, Y Zhang IET Intelligent Transport Systems 15 (8), 1076-1091, 2021 | 30 | 2021 |
Performance analysis of AI-based energy management in electric vehicles: A case study on classic reinforcement learning J Hu, Y Lin, J Li, Z Hou, L Chu, D Zhao, Q Zhou, J Jiang, Y Zhang Energy Conversion and Management 300, 117964, 2024 | 29 | 2024 |
A novel optimal power management strategy for plug-in hybrid electric vehicle with improved adaptability to traffic conditions Y Zhang, C Wei, Y Liu, Z Chen, Z Hou, N Xu Journal of Power Sources 489, 229512, 2021 | 28 | 2021 |
Energy management strategy based on a novel speed prediction method J Xing, L Chu, Z Hou, W Sun, Y Zhang Sensors 21 (24), 8273, 2021 | 13 | 2021 |
Dual-input and multi-channel convolutional neural network model for vehicle speed prediction J Xing, L Chu, C Guo, S Pu, Z Hou Sensors 21 (22), 7767, 2021 | 13 | 2021 |
A novel A-ECMS energy management strategy based on dragonfly algorithm for plug-in FCEVs S Li, L Chu, J Hu, S Pu, J Li, Z Hou, W Sun Sensors 23 (3), 1192, 2023 | 12 | 2023 |
Exploration the pathways of connected electric vehicle design: A vehicle-environment cooperation energy management strategy Z Hou, J Guo, J Li, J Hu, W Sun, Y Zhang Energy 271, 127081, 2023 | 10 | 2023 |
Study on the control algorithm of automatic emergency braking system (AEBS) for commercial vehicle based on identification of driving condition J Guo, Y Wang, X Yin, P Liu, Z Hou, D Zhao Machines 10 (10), 895, 2022 | 9 | 2022 |
Transfer learning and vision transformer based state-of-health prediction of lithium-ion batteries P Fu, L Chu, Z Hou, J Hu, Y Huang, Y Zhang arXiv preprint arXiv:2209.05253, 2022 | 9 | 2022 |
Progress and summary of reinforcement learning on energy management of MPS-EV Y Lin, L Chu, J Hu, Z Hou, J Li, J Jiang, Y Zhang Heliyon 10 (1), 2024 | 8 | 2024 |
State-of-health prediction using transfer learning and a multi-feature fusion model P Fu, L Chu, Z Hou, Z Guo, Y Lin, J Hu Sensors 22 (21), 8530, 2022 | 7 | 2022 |
A hierarchical energy management strategy for 4WD plug-in hybrid electric vehicles Z Guo, J Guo, L Chu, C Guo, J Hu, Z Hou Machines 10 (10), 947, 2022 | 7 | 2022 |
DRL-ECMS: An adaptive hierarchical equivalent consumption minimization strategy based on deep reinforcement learning Y Lin, L Chu, J Hu, Y Zhang, Z Hou 2022 IEEE Intelligent Vehicles Symposium (IV), 235-240, 2022 | 7 | 2022 |
A Learning-and-Tube-Based Robust Model Predictive Control Strategy for Plug-In Hybrid Electric Vehicle Z Hou, L Chu, Z Guo, J Hu, J Jiang, J Yang, Z Chen, Y Zhang IEEE Transactions on Intelligent Vehicles 9 (1), 579-592, 2023 | 6 | 2023 |
An Equivalent Consumption Minimization Strategy for a Parallel Plug-In Hybrid Electric Vehicle Based on an Environmental Perceiver S Pu, L Chu, J Hu, S Li, Z Hou Sensors 22 (24), 9621, 2022 | 6 | 2022 |
Energy management strategy of extended-range electric bus based on model predictive control C Guo, D Cao, Y Qiao, Z Yang, Z Chang, D Zhao, Z Hou SAE International Journal of Commercial Vehicles 14 (02-14-02-0018), 229-238, 2021 | 6 | 2021 |
Exploration the route of information integration for vehicle design: A knowledge-enhanced energy management strategy Z Hou, J Guo, L Chu, J Hu, Z Chen, Y Zhang Energy 282, 128809, 2023 | 5 | 2023 |
State of health prediction of lithium-ion battery based on deep dilated convolution P Fu, L Chu, J Li, Z Guo, J Hu, Z Hou Sensors 22 (23), 9435, 2022 | 5 | 2022 |
Potential auto-driving threat: Universal rain-removal attack J Hu, J Li, Z Hou, J Jiang, C Liu, L Chu, Y Huang, Y Zhang Iscience 26 (9), 2023 | 4 | 2023 |
Adaptive cruise system based on fuzzy MPC and machine learning state observer J Guo, Y Wang, L Chu, C Bai, Z Hou, D Zhao Sensors 23 (12), 5722, 2023 | 4 | 2023 |