| The future of hydrogen energy: Bio-hydrogen production technology X Xu, Q Zhou, D Yu International Journal of Hydrogen Energy 47 (79), 33677-33698, 2022 | 303 | 2022 |
| State of charge estimation for lithium-ion battery based on an Intelligent Adaptive Extended Kalman Filter with improved noise estimator D Sun, X Yu, C Wang, C Zhang, R Huang, Q Zhou, T Amietszajew, ... Energy 214, 119025, 2021 | 180 | 2021 |
| Multi-step reinforcement learning for model-free predictive energy management of an electrified off-highway vehicle Q Zhou, J Li, B Shuai, H Williams, Y He, Z Li, H Xu, F Yan Applied Energy 255, 113755, 2019 | 150 | 2019 |
| An EMMS-based multi-fluid model (EFM) for heterogeneous gas–solid riser flows: Part I. Formulation of structure-dependent conservation equations K Hong, W Wang, Q Zhou, J Wang, J Li Chemical Engineering Science 75, 376-389, 2012 | 121 | 2012 |
| CFD study of mixing and segregation in CFB risers: Extension of EMMS drag model to binary gas–solid flow Q Zhou, J Wang Chemical Engineering Science 122, 637-651, 2015 | 108 | 2015 |
| Adaptive cruise control strategies implemented on experimental vehicles: A review Y He, B Ciuffo, Q Zhou, M Makridis, K Mattas, J Li, Z Li, F Yan, H Xu IFAC-PapersOnLine 52 (5), 21-27, 2019 | 105 | 2019 |
| Intelligent sizing of a series hybrid electric power-train system based on Chaos-enhanced accelerated particle swarm optimization Q Zhou, W Zhang, S Cash, O Olatunbosun, H Xu, G Lu Applied Energy 189 (2017), 588-601, 2017 | 100 | 2017 |
| Multiobjective co-optimization of cooperative adaptive cruise control and energy management strategy for PHEVs Y He, Q Zhou, M Makridis, K Mattas, J Li, H Williams, H Xu IEEE Transactions on Transportation Electrification 6 (1), 346-355, 2020 | 99 | 2020 |
| Knowledge implementation and transfer with an adaptive learning network for real-time power management of the plug-in hybrid vehicle Q Zhou, D Zhao, B Shuai, Y Li, H Williams, H Xu IEEE Transactions on Neural Networks and Learning Systems 32 (12), 5298-5308, 2021 | 92 | 2021 |
| Dual-loop online intelligent programming for driver-oriented predict energy management of plug-in hybrid electric vehicles J Li, Q Zhou, Y He, B Shuai, Z Li, H Williams, H Xu Applied Energy 253, 113617, 2019 | 83 | 2019 |
| Cyber-Physical Energy-Saving Control for Hybrid Aircraft-Towing Tractor based on Online Swarm Intelligent Programming Q Zhou, Y Zhang, Z Li, J Li, H Xu, O Olatunbosun IEEE Transactions on Industrial Informatics 14 (9), 4149-4158, 2018 | 80 | 2018 |
| Multi-objective design optimization of battery thermal management system for electric vehicles S Su, W Li, Y Li, A Garg, L Gao, Q Zhou Applied Thermal Engineering 196, 117235, 2021 | 79 | 2021 |
| Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on k-fold fuzzy learning and Gaussian process regression Q Zhou, Y Li, D Zhao, J Li, H Williams, H Xu, F Yan Applied energy 305, 117853, 2022 | 78 | 2022 |
| Heuristic action execution for energy efficient charge-sustaining control of connected hybrid vehicles with model-free double Q-learning B Shuai, Q Zhou, J Li, Y He, Z Li, H Williams, H Xu, S Shuai Applied energy 267, 114900, 2020 | 69 | 2020 |
| Eulerian–Lagrangian study of dense liquid–solid flow in an industrial-scale cylindrical hydrocyclone Q Zhou, C Wang, H Wang, J Wang International Journal of Mineral Processing 151, 40-50, 2016 | 60 | 2016 |
| Experimental study of battery passive thermal management system using copper foam-based phase change materials Z Sun, Y Guo, C Zhang, J Whitehouse, Q Zhou, H Xu, C Wang International Journal of Thermofluids 17, 100255, 2023 | 59 | 2023 |
| An EMMS drag model for coarse grid simulation of polydisperse gas–solid flow in circulating fluidized bed risers Z Qin, Q Zhou, J Wang Chemical engineering science 207, 358-378, 2019 | 55 | 2019 |
| Back-to-back competitive learning mechanism for fuzzy logic based supervisory control system of hybrid electric vehicles J Li, Q Zhou, H Williams, H Xu IEEE Transactions on Industrial Electronics 67 (10), 8900-8909, 2019 | 53 | 2019 |
| An EMMS-based multi-fluid model (EFM) for heterogeneous gas–solid riser flows: Part II. An alternative formulation from dominant mechanisms J Wang, Q Zhou, K Hong, W Wang, J Li Chemical engineering science 75, 349-358, 2012 | 50 | 2012 |
| Three-dimensional simulation of dense suspension upflow regime in high-density CFB risers with EMMS-based two-fluid model Q Zhou, J Wang, J Li Chemical Engineering Science 107, 206-217, 2014 | 45 | 2014 |
Hongming XuProfessor of Energy and Automotive EngineeringПотвърден имейл адрес: bham.ac.uk
