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Selected Current Publications

Level 1: Component Level

  1. Zhang, G., Xu, H., Wu, D., Yang, J., Morsy, M. E., Jangi, M., Cracknell, R. (2024). Quantitative three-dimensional reconstruction of cellular flame area for spherical hydrogen-air flames. Fuel, 375, 132504.
  2. Zhang, G., Shi, P., Zhai, C., Jin, Y., Han, M., Liu, S., Liu, Y., Liu, H., Zhou, Q., Li, J., ... (2024). Review of energy self-circulation systems integrating biogas utilization with Powerfuels production in global livestock industry. Bioresource Technology, 131193.
  3. Zhang, G., Xu, H., Wu, D., Yang, J., Morsy, M. E., Jangi, M., Cracknell, R., Kim, W. (2024). Deep learning-driven analysis for cellular structure characteristics of spherical premixed hydrogen-air flames. International Journal of Hydrogen Energy, 68, 63-73.
  4. Zhang, F., Zhang, G., Wang, Z., Wu, D., Jangi, M., Xu, H. (2024). Experimental investigation on combustion and emission characteristics of non-premixed ammonia/hydrogen flame. International Journal of Hydrogen Energy, 61, 25-38.
  5. Olalere, R. K., Zhang, G., Xu, H. (2024). Experimental Investigation of Gaseous Emissions and Hydrocarbon Speciation for MF and MTHF Gasoline Blends in DISI Engine. International Journal of Automotive Manufacturing and Materials, 6-6.
  6. Badawy, T., Turner, J. W. G., Xu, H. (2024). Evaluation of engine performance and emissions in an optical DISI engine with various spark plug designs and gaps. Fuel, 357, 129900.
  7. Wen, C., Li, J., Zhou, Q., Lu, G., Xu, H. (2024). Thermal efficiency predictive modelling of dedicated hybrid engines based on an optimal multi-network structure. International Journal of Powertrains, 13(1), 54-74.
  8. He, X., Li, J., Zhou, Q., Lu, G., Xu, H. (2023). Robust key parameter identification of dedicated hybrid engine performance indicators via K-fold filter collaborated feature selection. Engineering Applications of Artificial Intelligence, 126, 107114.
  9. Abdillah, A. A., Zhang, C., Sun, Z., Li, J., Xu, H., Zhou, Q. (2023). Data-driven Modelling for EV Battery State of Health Estimation using SFS-PCA Learning. 2023 7th CAA International Conference on Vehicular Control and Intelligence.
  10. Sun, Z., Guo, Y., Zhang, C., Zhou, Q., Xu, H., Wang, C. (2023). Algorithm-driven optimization of lithium-ion battery thermal modeling. Journal of Energy Storage, 65, 107388.
  11. Zhou, Z., Yan, F., Zhang, G., Wu, D., Xu, H. (2023). A Study on the Dynamic Collision Behaviors of a Hydrous Ethanol Droplet on a Heated Surface. Processes, 11(6), 1804.
  12. 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, 272, 127067.
  13. Sun, Z., Guo, Y., Zhang, C., Whitehouse, J., Zhou, Q., Xu, H., Wang, C. (2023). Experimental study of battery passive thermal management system using copper foam-based phase change materials. International Journal of Thermofluids, 17, 100255.
  14. Sun, Z., Guo, Y., Zhang, C., Xu, H., Zhou, Q., Wang, C. (2022). A novel hybrid battery thermal management system for prevention of thermal runaway propagation. IEEE Transactions on Transportation Electrification, 9(4), 5028-5038.
  15. Li, J., Zhou, Q., Williams, H., Lu, G., Xu, H. (2022). Statistics-guided accelerated swarm feature selection in data-driven soft sensors for hybrid engine performance prediction. IEEE Transactions on Industrial Informatics, 19(4), 5711-5721.
  16. 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, 310, 118534.
  17. Li, J., Wu, D., Attar, H. M., & Xu, H. (2022). Geometric neuro-fuzzy transfer learning for in-cylinder pressure modelling of a diesel engine fuelled with raw microalgae oil. Applied Energy, 306, 118014.
  18. Zhou, Z., Li, Y., Zhang, J., Wang, Y., Yan, F., Xu, H. (2022). Effects of component proportions on multi-jet instant expansion of binary solutions under flash boiling conditions. Fuel, 308, 122018.
  19. Ramadhas, A. S., Xu, H. (2022). Low-Temperature Operation: Fuels and Lubricants for Cold Temperature Regions. Handbook of Thermal Management of Engines, 521-541.
  20. Badawy, T., Xu, H., Li, Y. (2022). Macroscopic spray characteristics of iso-octane, ethanol, gasoline and methanol from a multi-hole injector under flash boiling conditions. Fuel, 307, 121820.
  21. Xu, H., & Zhou, Q. (2021) Artificial intelligence technologies for engine control development: State-of-the-art review and outlook. Journal of Automotive Safety and Energy. 12(2): 150-162.
  22. Li, Z., Zhou, Q., Zhang, Y., Li, J., & Xu, H. (2019). Enhanced Intelligent PI-like fuzzy knowledge based controller using chaos-enhanced accelerated particle swarm optimization algorithm for transient calibration of air/fuel ratio control system. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.
  23. Li, J., Li, Z., Zhou, Q., Zhang, Y., & Xu, H. (2018). Improved scheme of membership function optimisation for fuzzy air-fuel ratio control of GDI engines. IET Intelligent Transport Systems, 13(1), 209-217.
  24. Li, Z., Li, J., Zhou, Q., Zhang, Y., & Xu, H. (2018). Intelligent air/fuel ratio control strategy with a PI-like fuzzy knowledge–based controller for gasoline direct injection engines. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 0954407018779180.
  25. Ma, H., Li, Z., Tatarani, M., Lu, G., Xu, H., & Yao X. (2018). Model-based computational intelligence multi-objective optimization for gasoline direct injection engine calibration. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.
  26. Zhang, Y., Lu, G., Xu, H., & Li, Z. (2018). Tuneable model predictive control of a turbocharged diesel engine with dual loop exhaust gas recirculation. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 232(8), 1105-1120.
  27. Zhang, Y., Zhou, Q., Li, Z., Li, J., & Xu, H. (2019). Intelligent transient calibration of a dual-loop EGR diesel engine using chaos-enhanced accelerated particle swarm optimization algorithm. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 233(7), 1698-1711.
  28. Ma, H., Li, Z., Tayarani, M., Lu, G., Xu, H., & Yao, X. (2018). Computational intelligence nonmodel-based calibration approach for internal combustion engines. Journal of Dynamic Systems, Measurement, and Control, 140(4), 041002.
  29. Ma, H., Xu, H., Wang, J., Schnier, T., Neaves, B., Tan, C., & Wang, Z. (2014). Model-based multiobjective evolutionary algorithm optimization for HCCI engines. IEEE Transactions on Vehicular Technology, 64(9), 4326-4331.

Level 2: Powertrain Level

  1. Zhang, F., Zhou, Q., Zhang, C., Hua, M., Du, S., Duan, Y., Li, J., Williams, H., Xu, H. (2024). Meta-heuristic Adaptive Equivalent Consumption Minimization of a Fuel Cell Vehicle Incorporating Fuzzy Inference and Particle Swarm Optimization. IEEE Transactions on Transportation Electrification.
  2. Zhang, Y., Li, Q., Wen, C., Liu, M., Yang, X., Xu, H., Li, J. (2024). Predictive equivalent consumption minimization strategy based on driving pattern personalized reconstruction. Applied Energy, 367, 123424.
  3. Wang, J., Du, C., Yan, F., Duan, X., Hua, M., Xu, H., Zhou, Q. (2024). Energy Management of a Plug-in Hybrid Electric Vehicle Using Bayesian Optimization and Soft Actor-Critic Algorithm. IEEE Transactions on Transportation Electrification, 2.
  4. Shuai, B., Hua, M., Li, Y., Shuai, S., Xu, H., Zhou, Q. (2024). Optimal Energy Management of Plug-in Hybrid Electric Vehicles Through Ensemble Reinforcement Learning With Exploration-to-Exploitation Ratio Control. IEEE Transactions on Intelligent Vehicles, 4.
  5. Zhang, C., Zhou, Q., Hua, M., Xu, H., Bassett, M., Zhang, F. (2023). Cuboid equivalent consumption minimization strategy for energy management of multi-mode plug-in hybrid vehicles considering diverse time scale objectives. Applied Energy, 351, 121901.
  6. Min, H., Bin, S., Quan, Z., Wang, J., He, Y., Xu, H. (2023). Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning. International Journal of Automotive Manufacturing and Materials, 6-6, 2.
  7. Wang, J., Du, C., Xu, H., Hou, X., Zhou, Q. (2023). Simultaneous Estimation and Receding Horizon Sliding Control of Dog Clutch Coupling with Backlash for Rear Electrical Drivelines. IEEE Transactions on Vehicular Technology, 2.
  8. Hua, M., Zhang, C., Zhang, F., Li, Z., Yu, X., Xu, H., Zhou, Q. (2023). Energy management of multi-mode plug-in hybrid electric vehicle using multi-agent deep reinforcement learning. Applied Energy, 348, 121526.
  9. Wang, J., Du, C., Yan, F., Zhou, Q., Xu, H. (2023). Hierarchical rewarding deep deterministic policy gradient strategy for energy management of hybrid electric vehicles. IEEE Transactions on Transportation Electrification, 10(1), 1802-1815.
  10. Zhou, Q., Li, J., Xu, H. (2022). Artificial Intelligence and Its Roles in the R&D of Vehicle Powertrain Products. International Journal of Automotive Manufacturing and Materials, 6-6, 4.
  11. Zhang, C., Zhou, Q., Shuai, B., Williams, H., Li, Y., Hua, L., Xu, H. (2022). Dedicated adaptive particle swarm optimization algorithm for digital twin based control optimization of the plug-in hybrid vehicle. IEEE Transactions on Transportation Electrification, 9(2), 3137-3148.
  12. Shuai, B., Li, Y., Zhou, Q., Xu, H., Shuai, S. (2022). Supervisory control of the hybrid off-highway vehicle for fuel economy improvement using predictive double Q-learning with backup models. Journal of Central South University, 29(7), 2266-2278.
  13. 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. 2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 1912-1917.
  14. 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, 27(6), 4406-4416.
  15. Li, J., Zhou, Q., Williams, H., Xu, H., & Du, C. (2022). Cyber-Physical Data Fusion in Surrogate-assisted Strength Pareto Evolutionary Algorithm for PHEV Energy Management Optimization. IEEE Transactions on Industrial Informatics.
  16. 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, 11(4), 288-302.
  17. 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, 305, 117853.
  18. 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, 18(3), 030907
  19. 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.
  20. 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.
  21. Shuai, B., Zhou, Q., Li, J., He, Y., Li, Z., Williams, H., ... & Shuai, S. (2020). Heuristic action execution for energy efficient charge-sustaining control of connected hybrid vehicles with model-free double Q-learning. Applied Energy, 267, 114900.
  22. He, Y., Wang, C., Zhou, Q., Li, J., Makridis, M., Williams, H., Lu, G., & Xu., H. (2020). Multi-objective component sizing of a hybrid ethanol-electric vehicle propulsion system. Applied Energy.
  23. Shuai, B., Zhou, Q., Li, J., He, Y., Li, Z., Williams, H., Xu, H., & Shuai, S. (2020). Heuristic action execution for energy efficient charge-sustaining control of connected hybrid vehicles with model-free double Q-learning. Applied Energy.
  24. Li, J., Zhou, Q., Williams, H., & Xu, H. (2019). Back-to-back Competitive Learning Mechanism for Fuzzy Logic based Supervisory Control System of Hybrid Electric Vehicles. IEEE Transactions on Industrial Electronics.
  25. Zhou, Q., Li, J., Shuai, B., Williams, H., He, Y., Li, Z., ... & Yan, F. (2019). Multi-step reinforcement learning for model-free predictive energy management of an electrified off-highway vehicle. Applied Energy, 255, 113755.
  26. Cash, S, Zhou, Q, Olatunbosun, O, Xu, H, Davis, S, Shaw, R. (2019). Development of a Series Hybrid Electric Aircraft Pushback Vehicle: A Case Study, Engineering, Vol. 2019 (11), pages: 33-47.
  27. Cash, S, Zhou, Q, Olatunbosun, O, Xu, H*, Davis, S, Shaw, R. (2018). A New Traction Motor Sizing Strategy for a HEV/EV based on an Overcurrent-tolerant Prediction Model, IET Intelligent Transport Systems. DOI: 10.1049/iet-its.2018.5016.
  28. Zhou, Q., Zhang, Y., Li, Z., Li, J., Xu, H., & Olatunbosun, O. (2017). Cyber-physical energy-saving control for hybrid aircraft-towing tractor based on online swarm intelligent programming. IEEE Transactions on Industrial Informatics, 14(9), 4149-4158.
  29. 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, 189, 588-601.

Level 3: Human-Vehicle Level

  1. Wu, Y., Zuo, Z., Wang, Y., Han, Q., Li, J., Xu, H. (2024). Driver-Centric Data-Driven Model Predictive Vehicular Platoon With Longitudinal-Lateral Dynamics. IEEE Transactions on Intelligent Transportation Systems.
  2. He, X., Li, J., Zhou, Q., Xu, H. (2023). Human-Road Dual Trust Mechanism in Adaptive Distributed Shared Control Framework under Lane Keeping Scenario. 2023 7th CAA International Conference on Vehicular Control and Intelligence.
  3. He, Y., Zhou, Q., Wang, C., Li, J., Shuai, B., Lei, L., Xu, H. (2023). Microscopic Modelling of Car-Following Behaviour: Developments and Future Directions. International Journal of Automotive Manufacturing and Materials, 6-6, 2.
  4. Li, J., Zhou, Q., Williams, H., Xu, H. (2022). Driver-Centric Velocity Prediction With Multidimensional Fuzzy Granulation. IEEE/CAA Journal of Automatica Sinica, 10(2), 547-549.
  5. Li, J., Zhou, Q., He, Y., Williams, H., Xu, H., & Lu, G. (2022). Distributed Cooperative Energy Management System of Connected Hybrid Electric Vehicles with Personalized Non-Stationary Inference. IEEE Transactions on Transportation Electrification.
  6. Li, J., Gu, Y., Wang, C., Liu, M., Zhou, Q., Lu, G., ... & Xu, H. (2022). 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.
  7. Li, J., Zhou, Q., He, Y., Williams, H., & Xu, H. (2020).Driver-identified Supervisory Control System of Hybrid Electric Vehicles using Spectrum-guided Fuzzy Feature Extraction. IEEE Transactions on Fuzzy Systems.
  8. Li, J., Zhou, Q., He, Y., Shuai, B., Li, Z., Williams, H., & Xu, H. (2019). Dual-loop online intelligent programming for driver-oriented predict energy management of plug-in hybrid electric vehicles. Applied Energy, 253, 113617.

Level 4: Transportation Level

  1. Wu, Y., Han, Q., Zuo, Z., Wang, Y., Li, J., Zhou, Q., Xu, H. (2024). User-Centric Multi-Objective Predictive Control for Mixed Vehicular Platoon. IEEE Transactions on Intelligent Vehicles.
  2. Wu, Y., Zuo, Z., Wang, Y., Han, Q., Li, J., Zhou, Q., Xu, H. (2024). Surrogate-Driven Multi-Objective Predictive Control for Electric Vehicular Platoon. IEEE Transactions on Transportation Electrification.
  3. Mo, L., Hua, M., Sun, H., Xu, H., Shuai, B., Zhou, Q. (2023). Study on the impacts of hazardous behaviors on autonomous vehicle collision rates based on humanoid scenario generation in carla. 2023 7th CAA International Conference on Vehicular Control and Intelligence, 1.
  4. He, Y., Makridis, M., Fontaras, G., Mattas, K., Xu, H., & Ciuffo, B. (2020). The energy impact of adaptive cruise control in real-world highway multiple-car-following scenarios. European Transport Research Review, 12, 1-11.
  5. He, Y., Makridis, M., Mattas, K., Fontaras, G., Ciuffo, B., & Xu, H. (2020). Introducing Electrified Vehicle Dynamics in Traffic Simulation. Transportation Research Record, 2674(9), 776-791.
  6. He, Y., Zhou, Q., Makridis, M, Mattas, K., Li, J., Williams, H., & Xu, H. (2020). Multi-objective Co-Optimization of Cooperative Adaptive Cruise Control and Energy Management Strategy for PHEVs. IEEE Transactions on Transportation Electrification.