Bin Xu

Assistant Professor

Email: binxu@ou.edu
Phone: (405) 325-1728
Office: Felgar Hall 207
Office Hours: Monday 9:30am-11:00am
Lab Website: MiLa

Education
Ph.D., Automotive Engineering (2017)
Clemson University
B.S., Automotive Engineering (2013)
Hunan University, China

Research Focus

Dynamics and Control
Propulsion and Energy System
Propulsion Electrification
Reinforcement Learning
Data-Driven Modeling and Control
Data Analytics and Visualization

Courses Taught

IC Engine Lab

Professional Activities and Organizations

Guest Editor of SAE International Journal of Electrified Vehicles
Review Editor of Frontiers in Energy Research
Reviewer for Renewable and Sustainable Energy Reviews, Applied Energy, Energy, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Transportation Electrification, IEEE Transactions on Control Systems and Technology, Control Practice Engineering, Energies, International Journal of Heat and Mass Transfer, International Transactions on Electrical Energy Systems, Institution of Engineering and Technology Intelligent Transport Systems, American Control Conference, Society of Automotive Engineering World Congress

Recent Publications

X. Li, B. Xu, H. Tian, and G. Shu, “Towards a novel holistic design of organic Rankine cycle (ORC) systems operating under heat source fluctuations and intermittency,” Renewable and Sustainable Energy Reviews, vol. 147, p. 111207, 2021.
B. Xu, J. Shi, S. Li, H. Li, and Z. Wang, “Energy consumption and battery aging minimization using a Q-learning strategy for a battery/ultracapacitor electric vehicle,” Energy, vol. 229, p. 120705, 2021.
P. Girade, H. Shah, K. Kaushik, A. Patheria, and B. Xu, “Comparative Analysis of State of Charge Based Adaptive Supervisory Control Strategies of Plug-In Hybrid Electric Vehicles,” Energy, p. 120856, 2021, doi: 10.1016/j.energy.2021.120856.
S. Sarvaiya, S. Ganesh, and B. Xu, “Comparative analysis of hybrid vehicle energy management strategies with optimization of fuel economy and battery life,” Energy, vol. 228, p. 120604, 2021.
Xu, B., Tang, X.L., Hu, X.S., Lin, X.K., Li, X.Y., Rathod, D., and Wang, Z., “Q-learning Based Supervisory Control Adaptability Investigation for Hybrid Electric Vehicles, IEEE Transactions on Intelligent Transportation Systems, 2021, doi: 10.1109/TITS.2021.3062179.
Xu, B., and Li, X.Y., “A Q-learning Based Transient Power Optimization Method for Organic Rankine Cycle Waste Heat Recovery System in Heavy Duty Diesel Engine Applications”, Applied Energy, 2021, doi: https://doi.org/10.1016/j.apenergy.2021.116532.
Xu, B., Rathod, D., Yebi, A., Onori, S., Filipi, Z., “Real-Time Realization of Dynamic Programming Using Machine Learning Methods for IC Engine Waste Heat Recovery System Power Optimization”, Applied Energy, vol.262, p.114514, 2020.
Xu, B., Rathod, D., Zhang, D.R., Yebi, A., Zhang X.Y., Li, X.Y., Filipi, Z., “Parametric Study on Reinforcement Learning Optimized Energy Management Strategy for a Hybrid Electric Vehicle”, Applied Energy, vol.259, p.114200, 2020.
Xu, B., Hu, X.S., Lin, X.K., Li, H.Y., Rathod, D., Filipi, Z., “Ensemble Reinforcement Learning as a Hybrid Electric Vehicle Supervisory Control for Fuel Economy Improvement”, IEEE Transactions on Transportation Electrification, 2020, doi: 10.1109/TTE.2020.2991079.
Xu, B., Hou, J., Shi, J., Li, H., Wang, Z., Rathod, D., and Filipi, Z., “Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control Strategy in Hybrid Electric Vehicle Applications”, IEEE Transactions on Transportation Electrification, 2020, doi: 10.1109/TTE.2020.3019009.
Xu, B., Yebi, A., Hoffman, M., and Onori, S., “A Rigorous Model Order Reduction Framework for Waste Heat Recovery Systems Based on Proper Orthogonal Decomposition and Galerkin Projection", IEEE Transactions on Control Systems Technology, 2018, doi: 10.1109/TCST.2018.2878810.
Xu, B., Rathod, D., Yebi, A., Filipi, Z., "A Comparative Analysis of Real-time Power Optimization for Organic Rankine Cycle Waste Heat Recovery Systems," Applied Thermal Engineering, vol. 164, 114442, 2020.
Xu, B., Rathod, D., Yebi, A., Onori, S., Filipi, Z., Hoffman, H., “A Comprehensive Review of Organic Rankine Cycle Waste Heat Recovery for Heavy Duty Diesel Engine Applications", Renewable & Sustainable Energy Reviews. vol. 207, pp. 145-170, 2019.
Xu, B., Yebi, A., Rathod, D., Onori, S., Filipi, Z., Hoffman, H., “Experimental Validation of Nonlinear Model Predictive Control for a Heavy-Duty Diesel Engine Waste Heat Recovery System", ASME Journal of dynamic systems measurement and control. vol. 142, Issue 5, 2020.
Xu, B., Rathod, D., Kulkarni, S., Yebi, A., Filipi, Z., Onori, S., Hoffman, H., “Transient Dynamic Modeling and Validation of an Organic Rankine Cycle Waste Heat Recovery System for Heavy Duty Diesel Engine Applications,” Applied Energy, 205: pp. 260-279, 2017.
Xu, B., Rathod, D., Yebi, A., Onori, S., Filipi, Z. and Hoffman, M., “A Comparative Analysis of Dynamic Evaporator Models for Organic Rankine Cycle Waste Heat Recovery Systems”, Applied Thermal Engineering. p. 114576, 2019.
Xu, B., Yebi, A., Liu, X., Shutty, J., Anschel, P., Onori, S., Filipi, Z. and Hoffman, M., “Transient Power Optimization of an Organic Rankine Cycle Waste Heat Recovery System for Heavy-Duty Diesel Engine Applications", SAE International Journal of Alternative Powertrains. 6(1):2017, doi:10.4271/2017-01-0133.
Yebi, A., Xu, B., Liu, X., Shutty, J., Anschel, P., Onori, S., Filipi, Z., Hoffman, H., “Estimation and Predictive Control of a Parallel Evaporator Diesel Engine Waste Heat Recovery System", IEEE Transactions on Control Systems Technology, vol. PP, pp. 1-14, 2017.
Farahani, S., Xu, B., Filipi, Z., Pilla, S., “A Machine Learning Approach to Quality Monitoring of Injection Molding Process Using Regression Models”, The International Journal of Computer Integrated Manufacturing, 2021, doi: https://doi.org/10.1080/0951192X.2021.1963485.
Du, Z., Xu, B., Pisu, P., “Cooperative Mandatory Lane Change for Connected Vehicles on Signalized Intersection Roads", SAE International Journal of Connected and Automated Vehicles, 2020.
Rathod, D., Belwariar, U., Xu, B., and Hoffman, H., “An Enhanced Evaporator Model for Working Fluid Phase Length Prediction, Validated with Experimental Thermal Imaging Data”, International Journal of Mass and Heat Transfer, vol. 132, pp. 194-208, 2019.
Rathod, D., Xu, B., Filipi, Z., and Hoffman, M., “Experimental Evaluation of Evaporator Thermal Inertia for an Optimal Control Strategy of an Organic Rankine Cycle Waste Heat Recovery System”, SAE International Journal of Engines, 2020.
Rathod, D., Xu, B., Filipi, Z., and Hoffman, H., “An Experimentally Validated, Energy Focused, Optimal Control Strategy for an Organic Rankine Cycle Waste Heat Recovery System”, Applied Energy, 2019.
Liu, X., Yebi, A., Anschel, P., Shutty, J., Xu, B., Hoffman, H., Onori, S., “Model Predictive Control of an Organic Rankine Cycle System”, Energy Procedia, 2017.