Publications

Below are a list of publications from the academics and researchers involved with CASE-V.

Peer-reviewed journal papers:

Electrified Vehicles

  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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. DOI: 10.1109/TNNLS.2021.3093429
  • 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. DOI 10.1109/TMECH.2021.3055815
  • 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. https://doi.org/10.1186/s12544-020-00406-w
  • 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. https://doi.org/10.1177/0361198120931842
  • 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. https://doi.org/10.1016/j.apenergy.2020.114900
  • 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. DOI: 10.1109/TFUZZ.2020.2972843
  • 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. DOI: 10.1016/j.apenergy.2020.114843
  • 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. DOI: 10.1109/TTE.2020.2974588
  • 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. DOI: 10.1016/j.apenergy.2020.114900
  • 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. DOI: 10.1109/TIE.2019.2946571
  • 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. https://doi.org/10.1016/j.apenergy.2019.113755
  • 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. https://doi.org/10.1016/j.apenergy.2019.113617
  • 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. doi: 10.4236/eng.2019.111004.
  • 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.DOI:  10.1049/iet-its.2018.5016
  • 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. DOI: 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, 189, 588-601. https://doi.org/10.1016/j.apenergy.2016.12.074

AI-based engine control and calibration

  • 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.
  • 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.
  • 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. 
  • 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. https://doi.org/10.1177/0954407019862079
  • 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.
  • 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.
  • 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, 0954407018776743.
  • 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.
  • 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.
  • 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.
  • 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.

Papers to be continued

  • Shuai, B., Li, Y., Zhou, Q., Xu, H., Shuai, S. “Model-free supervisory control of the off-highway hybrid electric vehicle for fuel economy improvement using predictive double Q-learning with backup models” Journal of Central South University of Technology. (Accepted)
  • 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. (In press)
  • Li, J., Liu, K., Zhou, Q., Meng, J., Ge, Y., & Xu, H. (2021). Electrothermal Dynamics-conscious Many-objective Modular Design for Power-split Plug-in Hybrid Electric Vehicles. IEEE/ASME Transactions on Mechatronics. (in revision)

SAE technical papers

  • Ma H, Xu H, Wang J, Tan C. Investigation on the self-stabilization feature of HCCI combustion. SAE Technical Paper; 2014 Oct 13.
  • Tan C, Xu H, Ma H, Tian J, Ghafourian A. A Study of Methodology for the Investigation of Engine Transient Performance. SAE Technical Paper; 2014 Oct 13.
  • Tan C, Xu H, Ma H, Ghafourian A. Investigation of VVT and spark timing on combustion and particle emission from a GDI Engine during transient operation. SAE Technical Paper; 2014 Apr 1.
  • Tian J, Xu H, Sakunthalai RA, Liu D, Tan C, Ghafourian A. Low ambient temperature effects on a modern turbocharged diesel engine running in a driving cycle. SAE International Journal of Fuels and Lubricants. 2014 Nov 1;7(3):726-36.
  • Liu D, Xu H, Tian J, Tan C, Li Y. Cold and warm start characteristics using HVO and RME blends in a V6 diesel engine. SAE International Journal of Fuels and Lubricants. 2013 Jun 1;6(2):478-85.
  • Tan C, Xu H, Shuai SJ, Ghafourian A, Liu D, Tian J. Investigation on transient emissions of a turbocharged diesel engine fuelled by HVO blends. SAE International Journal of Engines. 2013 Jun 1;6(2):1046-58.

  • Sun, Z., Wang, C., Zhou, Q., & Xu, H. (2021). Sensitivity Study of Battery Thermal Response to Cell Thermophysical Parameters (No. 2021-01-0751). SAE Technical Paper. 

Conferences

  • Zhou, Q., Li, Y., Zhang, C., Hua, L., Williams, H., & Xu, H. (2021, October). Transferable Representation Model Driven by Gaussion Process Regression for Real-time Energy Management of Plug-in Hybrid Vehicles. In 2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI) (pp. 1-6). IEEE.
  • He, Y., Zhou, Q., Li, J. et al. (2019)."Adaptive cruise control strategies implemented on experimental vehicles: a review." IFAC Advances in Automotive Control.

  • Zhou, Q., Li, J., He, Y., Shuai, B., Williams, H., Xu, H., ... & Yan, F. (2020). "K-fold fuzzy learning for implementation of dynamic programming results in real-time energy management of the plug-in hybrid vehicle."

PhD Thesis

  • Bin shuai, ‘Real-time energy management of the hybrid off-highway vehicle using reinforcement learning’. 2022.
  • Yinglong He, ‘Developing and Evaluating the Driving and Powertrain Systems of Automated and Electrified Vehicles for Sustainable Transport’. 2021.
  • Ji Li, ‘Driver-oriented Intelligent Control Methodology for Series-parallel Hybrid Electric Vehicles’. 2020.
  • Ziyang Li, ‘Online dynamic optimization for the engine management system using artificial intelligence methods’, 2019.
  • Quan Zhou, ‘Design Optimisation and Real-Time Energy Management Control of an Electrified Off-highway Vehicle with Artificial Intelligence’, 2019.
  • Scott Cash, ‘Hybrid Electric Vehicle Modelling and Control’, 2018.
  • Yunfan Zhang, ’Optimization and control of a dual-loop EGR system on a modern Diesel engine’’, 2018.
  • Chen Tan, “Model based Control for a Modern Automotive Diesel Engine,” 2015
  • He Ma, “Control Oriented Engine Modelling and Engine Multiple-objective Optimal Feedback Control,” 2013.