Highlight publications
Zhou, Q, Zhao, D, Shuai, B, Li, Y, Williams, H & Xu, H 2021, 'Knowledge implementation and transfer with an adaptive learning network for real-time power management of the plug-in hybrid vehicle', IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 12, pp. 5298-5308. https://doi.org/10.1109/TNNLS.2021.3093429
Zhou, Q, Li, Y, Zhao, D, Li, J, Williams, H, Xu, H & Yan, F 2022, 'Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on k-fold fuzzy learning and Gaussian process regression', Applied Energy, vol. 305, 117853. https://doi.org/10.1016/j.apenergy.2021.117853
Zhou, Q, Li, J, Shuai, B, Williams, H, He, Y, Li, Z, Xu, H & Yan, F 2019, 'Multi-step reinforcement learning for model-free predictive energy management of an electrified off-highway vehicle', Applied Energy, vol. 255, 113755. https://doi.org/10.1016/j.apenergy.2019.113755
Zhou, Q, Zhang, Y, Li, Z, Li, J, Xu, H & Olatunbosun, O 2018, 'Cyber-physical energy-saving control for hybrid aircraft-towing tractor based on online swarm intelligent programming', IEEE Transactions on Industrial Informatics, vol. 14, no. 9, pp. 4149-4158. https://doi.org/10.1109/TII.2017.2781230
Zhou, Q, Zhang, W, Cash, S, Olatunbosun, O, Xu, H & Lu, G 2017, 'Intelligent sizing of a series hybrid electric power-train system based on Chaos-enhanced accelerated particle swarm optimization', Applied Energy, vol. 189, pp. 588-601. https://doi.org/10.1016/j.apenergy.2016.12.074
Recent publications
Article
Li, J, Zhou, Q, He, X, Chen, W & Xu, H 2023, 'Data-driven enabling technologies in soft sensors of modern internal combustion engines: Perspectives', Energy, vol. 272, 127067. https://doi.org/10.1016/j.energy.2023.127067
Li, J, Liu, K, Zhou, Q, Meng, J, Ge, Y & Xu, H 2022, 'Electrothermal dynamics-conscious many-objective modular design for power-split plug-in hybrid electric vehicles', IEEE/ASME Transactions on Mechatronics. https://doi.org/10.1109/TMECH.2022.3156535
Li, J, Zhou, Q, Williams, H, Xu, H & He, X 2022, 'Fuzzy logic based power-split hybrid propulsion control system using digital twin assisted parallel learning', International Journal of Powertrains, vol. 11, no. 4, 288. https://doi.org/10.1504/ijpt.2022.10048469
Li, J, Zhou, Q, Williams, H, Xu, P, Xu, H & Lu, G 2022, 'Fuzzy-tree-constructed data-efficient modelling methodology for volumetric efficiency of dedicated hybrid engines', Applied Energy, vol. 310, 118534. https://doi.org/10.1016/j.apenergy.2022.118534
Xu, B, Zhou, Q, Shi, J & Li, S 2022, 'Hierarchical Q-learning network for online simultaneous optimization of energy efficiency and battery life of the battery/ultracapacitor electric vehicle', Journal of Energy Storage, vol. 46, 103925. https://doi.org/10.1016/j.est.2021.103925
Li, J, Zhou, Q, Williams, H & Xu, H 2022, 'Statistics-Guided Accelerated Swarm Feature Selection in Data-Driven Soft Sensors for Hybrid Engine Performance Prediction', IEEE Transactions on Industrial Informatics, vol. 2022, 9858604, pp. 1-11. https://doi.org/10.1109/TII.2022.3199259
Li, J, Zhou, Q, Williams, H, Xu, H & Du, C 2021, 'Cyber-physical data fusion in surrogate-assisted strength pareto evolutionary algorithm for PHEV energy management optimization', IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/TII.2021.3121287
Li, J, Zhou, Q, He, Y, Williams, H, Xu, H & Lu, G 2021, 'Distributed cooperative energy management system of connected hybrid electric vehicles with personalized non-stationary inference', IEEE Transactions on Transportation Electrification. https://doi.org/10.1109/TTE.2021.3127142
Zhou, Q, Guo, S, Xu, L, Guo, X, Williams, H, Xu, H & Yan, F 2021, 'Global optimization of the Hydraulic-electromagnetic Energy-harvesting Shock Absorber for road vehicles with Human-knowledge-integrated Particle Swarm Optimization scheme', IEEE/ASME Transactions on Mechatronics, vol. 26, no. 3, 9343693, pp. 1225-1235. https://doi.org/10.1109/TMECH.2021.3055815
Zhou, Q, Wang, C, Sun, Z, Li, J, Williams, H & Xu, H 2021, 'Human-knowledge-augmented Gaussian process regression for state-of-health prediction of lithium-ion batteries with charging curves', Journal of Electrochemical Energy Conversion and Storage, vol. 18, no. 3, 030907 . https://doi.org/10.1115/1.4050798
Li, J, Gu, Y, Wang, C, Liu, M, Zhou, Q, Lu, G, Pham, DT & Xu, H 2021, 'Pedestrian-aware supervisory control system interactive optimization of connected hybrid electric vehicles via fuzzy adaptive cost map and Bees Algorithm', IEEE Transactions on Transportation Electrification. https://doi.org/10.1109/TTE.2021.3124606
Xu, H & Zhou, Q 2021, '人工智能在发动机控制开发中的应用及前景', Journal of Automotive Safety and Energy, vol. 12, no. 2, pp. 150-162. https://doi.org/10.3969/j.issn.1674-8484.2021.02.002
Wang, J, Hou, X, Du, C, Xu, H & Zhou, Q 2020, 'A Moment-of-Inertia-Driven Engine Start-Up Method Based on Adaptive Model Predictive Control for Hybrid Electric Vehicles With Drivability Optimization', IEEE Access, vol. 8, 9144597, pp. 133063-133075. https://doi.org/10.1109/ACCESS.2020.3010528
Conference contribution
Liu, K, Li, J, Zhu, C, Chen, T, Li, K, Zhou, Q & Xu, H 2022, Electrothermally-aware multi-objective modular design: a case study on series-parallel hybrid propulsion systems. in 2022 IEEE 5th International Electrical and Energy Conference (CIEEC)., 9845925, China International Electrical and Energy Conference (CIEEC), Institute of Electrical and Electronics Engineers (IEEE), pp. 1912-1917, 2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 27/05/22. https://doi.org/10.1109/CIEEC54735.2022.9845925
Letter
Li, J, Zhou, Q, He, X & Xu, H 2022, 'Letter: driver-centric velocity prediction with multidimensional fuzzy granulation', IEEE/CAA Journal of Automatica Sinica. https://doi.org/10.1109/JAS.2022.105998
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