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Quan Zhou
Quan Zhou
Honorary Professor (Associate), University of Birmingham
Verified email at bham.ac.uk - Homepage
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Cited by
Year
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
1322021
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
1292019
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
1282022
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
1172012
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
1032015
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
912017
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
882019
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
792020
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
782021
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
752019
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
752018
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
622022
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
572020
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
572016
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
532021
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
492019
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
452012
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
422019
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
422014
Driver-identified supervisory control system of hybrid electric vehicles based on spectrum-guided fuzzy feature extraction
J Li, Q Zhou, Y He, H Williams, H Xu
IEEE transactions on fuzzy systems 28 (11), 2691-2701, 2020
372020
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