PUBLICATIONS

Prof. Chen’s research group has achieved 22 journal articles, 50 peer-reviewed conference papers, and 1 patent.
Prof. Chen’s former and current students in italic.
Journal Articles (22)
  1. Z. Su, and P. Chen, “Social-aware Long-distance Trip Planner for Electric Vehicles Using Genetic Algorithm,” accepted in ASME Letters in Dynamic Systems and Control, 2023.
  2. Kaushal K. Jain, Peter H. Meckl, Pingen Chen, and Kuo Yang, “Diagnostics-oriented Model for Automotive SCR-ASC,” accepted in International Journal of Prognostics and Health Management, 2023.
  3. H. Shen, X. Zhou, H. Ahn, M. Lamantia, P. Chen and J. Wang, “Personalized Velocity and Energy Prediction for Electric Vehicles with Road Features in Consideration,” accepted in IEEE Transactions on Transportation Electrification, 2023. doi: 10.1109/TTE.2023.3241098.
  4. H. Shen, Z. Wang, X. Zhou, M. Lamantia, K. Yang, P. Chen, and J. Wang, “Electric Vehicle Velocity and Energy Consumption Predictions Using Transformer and Markov-Chain Monte Carlo,” IEEE Transactions on Transportation Electrification (in press), 2022 (DOI: 10.1109/TTE.2022.3157652).
  5. K. Yang and P. Chen, “Model-based predictive control and dithering control for an integrated gasoline engine and three-way catalytic converter system,” Journal of Dynamic Systems, Measurement, and Control, vol. 143, 2021.
  6. Q. Lin, P. Chen and V.Y. Prikhodko, “Experimental study and model predictive control of a lean-burn gasoline engine coupled with a passive selective catalytic reduction system,” Journal of Dynamic Systems, Measurement, and Control, vol. 141, no. 9, pp. 091008, 2019.
  7. Q. Lin and P. Chen, “Estimation of Ammonia Storage Non-Uniformity for Urea-Based Selective Catalytic Reduction Systems,” Journal of Dynamic Systems, Measurement, and Control, vol. 141(4), pp. 041014, 2019.
  8. Q. Lin and P. Chen, “An NOx Sensor-Based Direct Algebraic Approach-Newton Observer for Urea Selective Catalytic Reduction System State Estimations,” Journal of Dynamic Systems, Measurement, and Control, vol. 140(11), pp.111004, 2018.
  9. H. Zhang, P. Chen, J. Wang, and YY. Wang, “Integrated Study of Inland-Vessel Diesel Engine Two-Cell SCR Systems with Dynamic References,” IEEE/ASME Transactions on Mechatronics, vol. 22, no. 3, pp. 1195-1206 2017.
  10. P. Chen and J. Wang, “Estimation and Adaptive Nonlinear Model Predictive Control of Selective Catalytic Reduction Systems in Automotive Application,” Journal of Process Control, vol. 40, pp. 78-92, 2016.
  11. P. Chen and J. Wang, “Coordinated Active Thermal Management and SCR Control for Simultaneous Fuel Economy Improvement and Emissions Reduction during Low-temperature Operations,” Journal of Dynamic Systems, Measurement, and Control, vol. 137, pp. 121001-1-11, 2015.
  12. J. Zhao, P. Chen, U. Ibrahim, and J. Wang, “Comparative Study and Accommodation of Biodiesel in Diesel-electric Hybrid Vehicles Coupled with Aftertreatment Systems,” Asian Journal of Control, vol. 18, pp. 1-13, 2016.
  13. P. Chen and J. Wang, “Nonlinear Model Predictive Control of Integrated Diesel Engine and SCR System for Simultaneous Fuel Economy Improvement and Emissions Reduction,” Journal of Dynamic Systems, Measurement, and Control, vol. 137, pp. 081008-13, 2015.
  14. P. Chen and J. Wang, “Sliding Mode Observers for Urea Selective Catalytic Reduction System Estimations Based on NOx Sensor Measurement,” Journal of Automobile Engineering, Proceedings of the Institution of Mechanical Engineers, Part D., vol. 229, pp. 835-849, 2015.
  15. P. Chen and J. Wang, “An Novel Cost-efficient Robust Approach for SCR Estimations Using Dual NOx Sensors,” Journal of Automobile Engineering, Proceedings of the Institution of Mechanical Engineers, Part D, vol.229, pp. 83-96, 2015.
  16. P. Chen, U. Ibrahim, and J. Wang, “Experimental Investigation of Diesel and Biodiesel Post Injections during Active DPF Regeneration,” Fuel, vol. 130, pp. 286-295, 2014.
  17. P. Chen, and J. Wang, “Air Fraction Modeling for Simultaneous Diesel Engine NOx and PM Emissions Control during Active DPF Regeneration.” Applied Energy, vol. 122, pp. 310-320, 2014.
  18. P. Chen and J. Wang, “Control-Oriented Model for Integrated Diesel Engine and Aftertreatment Systems Thermal Management,” Control Engineering Practice, vol. 22, pp. 81-93, 2014.
  19. P. Chen and J. Wang, “Observer-Based Estimation of Air-Fractions for a Diesel Engine Coupled With Aftertreatment Systems,” Control Systems Technology, IEEE Transactions on, vol. 21, pp. 2239-2250, 2013.
  20. P. Chen and J. Wang, “Nonlinear and adaptive control of NO/NO2 ratio for improving selective catalytic reduction system performance,” Journal of the Franklin Institute, vol. 350, pp. 1992-2012, 2013.
  21. P. Chen and J. Wang, “Control-Oriented Modeling and Observer-Based Estimation of Solid and Gas Temperatures for a Diesel Engine Aftertreatment System,” Journal of Dynamic Systems, Measurement, and Control, vol. 134, pp. 061011, 2012.
  22. P. Chen and J. Wang, “Oxygen Concentration Dynamic Model and Observer-Based Estimation Through a Diesel Engine Aftertreatment System,” Journal of Dynamic Systems, Measurement, and Control, vol. 134, pp. 031008-10, 2012.

Peer-Reviewed Conference Papers (50)

  1. M. Abdulmagued and P. Chen, “Personalized Electric Vehicle Range Prediction Based on Self-Supervised Driving Pattern Clustering,” accepted for IEEE International Automated Vehicle Validation Conference 2023 (IAVVC).
  2. M. Abdulmagued and P. Chen, “Machine Learning-based Electric Vehicle Battery State of Charge Prediction and Driving Range Estimation for Rural Applications,” accepted for 2023 Modeling, Estimation, and Control Conference (MECC 2023).
  3. M. Abdulmagued and P. Chen, “An Efficient Hybrid Deep Learning Approach for Accurate Remaining EV Range Prediction,” accepted for the 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (AIM 2023).
  4. H. Shen, X. Zhou, A. Yu, L. Maxavier, P. Chen, J Wang, “An Experimental Comparison of Physics-based and Machine-Learning-based Electric Vehicle Energy Consumption Estimation Methods,” accepted for 22nd IFAC World Congress, Yokohama, Japan in July 2023.
  5. Y. Wu and P. Chen, “Energy Management of Electric Truck Fleet Considering Cargo Load, Platooning, and Charging” accepted in 2023 IEEE American Control Conference.
  6. Z. Su and P. Chen, “Eco-driving for Battery Electric Vehicles Using Traffic-aware Computationally Efficient Model Predictive Control,” accepted in 2022 Modeling, Estimation and Control Conference (MECC 2022) , Jersey City, NJ, USA , Oct. 2-5, 2022.
  7. Z. Su and P. Chen, “Cooperative Eco-driving Controller for Battery Electric Vehicle Platooning,” accepted in 2022 Modeling, Estimation and Control Conference (MECC 2022) , Jersey City, NJ, USA , Oct. 2-5, 2022.
  8. H. Shen, X. Zhou, Z. Wang, H. Ahn, L. Maxavier, P. Chen, J. Wang, “Electric Vehicle Energy Consumption Estimation with Consideration of Longitudinal Slip Ratio and Machine-Learning-Based Powertrain Efficiency,” accepted in 2022 Modeling, Estimation and Control Conference (MECC 2022) , Jersey City, NJ, USA , Oct. 2-5, 2022.
  9. C. Innis and P. Chen, “Dynamic Programming-based Macroscopic Speed Planner for Electric Vehicle Platooning,” accepted in 2022 Modeling, Estimation and Control Conference (MECC 2022) , Jersey City, NJ, USA , Oct. 2-5, 2022.
  10. C. Innis and P. Chen, “A Fast Macroscopic Speed Planner for Electric Vehicle Platooning,” accepted in 10th IFAC International Symposium on Advances in Automotive Control, Columbus, Ohio, USA , August 28-31, 2022.
  11. Z. Su and P. Chen, “Extremum Seeking Control-based Control Framework for Electric Vehicle Platooning,” accepted in 10th IFAC International Symposium on Advances in Automotive Control, Columbus, Ohio, USA , August 28-31, 2022.
  12. Z. Su and P. Chen, “Optimal Platoon Merging and Catch-up Approach for Connected Electric Vehicles.” accepted in 2022 IEEE American Control Conference, Atlanta, Georgia, USA, June 8-10, 2022.
  13. S. Joshi and P. Chen, “Design and Optimization of a Parallel Micro-Hybrid Vehicle with Lean-Burn Gasoline Engine and Passive SCR System.” accepted in 2022 IEEE American Control Conference, Atlanta, Georgia, USA, June 8-10, 2022.
  14. K. Yang and P. Chen, “Optimization of Charging Schedule for Battery Electric Vehicles Using DC Fast Charging Stations,” accepted in the 2021 Modeling, Estimation, and Control Conference (MECC 2021), Austin, TX, October 24-27, 2021.
  15. H. Shen, Z. Wang, K. Yang, M. Lamantia, P. Chen, Junmin Wang*, “Comparison of Different Variable Combinations for Electric Vehicle Power Prediction Using Kernel Adaptive Filter,” accepted in the 2021 Modeling, Estimation, and Control Conference (MECC 2021), Austin, TX, October 24-27, 2021.
  16. Z. Su, S. Yang, and P. Chen, “Adaptive Control and Parameter Estimation for Electric Vehicles with One-Pedal-Driving Feature in Platooning Applications.” accepted in 2021 IEEE Conference on Control Technology and Applications (CCTA), San Diego CA, August 8-11, 2021.
  17. S. Yang, Z. Su, and P. Chen, “Robust Inter-Vehicle Spacing Control for Battery Electric Vehicles with One-Pedal-Driving Feature.” accepted in 2021 IEEE Conference on Control Technology and Applications (CCTA), San Diego CA, August 8-11, 2021.
  18. M. Lamantia, Z. Su, and P. Chen, “Remaining Driving Range Estimation Framework for Electric Vehicles in Platooning Applications.” accepted in 2021 IEEE American Control Conference, New Orleans LA, May 25-28, 2021.
  19. D.A. Schafer, M. Lamantia, and P. Chen, “Modeling and Spacing Control for an Electric Vehicle with One-Pedal-Driving Feature.” accepted in 2021 IEEE American Control Conference, New Orleans LA, May 25-28, 2021.
  20. D.A. Schafer and P. Chen, “Minimum Safety Distances for Emergency Braking Maneuvers in Car-Following Applications,” in ASME 2020 Dynamic Systems and Control Conference, DSCC2020-3253, V001T02A005; 9 pages.
  21. K. Yang and P. Chen, “Control-Oriented Model Development and Experimental Validation for a Modern Diesel Engine,” in ASME 2020 Dynamic Systems and Control Conference, DSCC2020-3317, V002T26A003; 10 pages.
  22. K. Yang and P. Chen, “Ammonia Distribution Control for a Two-cell SCR System in a New Configuration,” in 2020 American Control Conference, .pp. 282-287, 2020
  23. D. Strange and P. Chen, “A Cylinder Deactivation Control Framework for Gasoline Engines without Valve Deactivation,” in 2020 American Control Conference, pp. 276-281, 2020.
  24. K. Yang and P. Chen, “Optimization of Engine Efficiency for Diesel Engine Equipped With EGR-VGT and Aftertreatment Systems,” in ASME 2019 Internal Combustion Engine Division Fall Technical Conference, Chicago, Illinois, USA, 2019, pp. ICEF2019-7233, V001T05A007; 10 pages. 
  25. Q. Lin and P. Chen, “A Torque Balance Method for Multi-Cylinder Gasoline Engines With Non-Uniform Cylinder-to-Cylinder Combustion Strategies,” in ASME 2019 Dynamic Systems and Control Conference, Park City, Utah, USA, 2019, pp. DSCC2019-9231, V002T11A005; 9 pages. 
  26. Q. Lin, P. Chen, M. Haas and P. Khayyer, “A Tailpipe NOx Sensor Decoupling Algorithm for Integrated SCR and AMOX Systems,” in 2019 American Control Conference (ACC), 2019, pp. 1605-1610. 
  27. D. Strange, P. Chen, V.Y. Prikhodko and J.E. Parks, “Optimization of Combustion Mode Duration for Lean Gasoline Engine with NOx Storage-Capable Passive Selective Catalytic Reduction System,” in 2019 American Control Conference (ACC), 2019, pp. 1599-1604.
  28. K. Yang and P. Chen, “A Real-time Control Framework for Integrated Diesel Engine and Selective Catalytic Reduction System,” SAE Technical Paper 2019-01-1287, 2019.
  29. P. Chen and Y. Ma, “Model Predictive NOx Emission Control for a Biodiesel Engine Coupled with A Urea-based Selective Catalytic Reduction System.” SAE Technical Paper 2019-01-0734, 2019.
  30. B. Childress and P. Chen, “A Decomposition Algorithm for a Class of Nonlinear Dynamic Systems with Cross-sensitive Output Measurement,” in 57th IEEE Conference on Decision and Control, pp. 662-667, 2018.
  31. D. Strange, P. Chen, V.Y. Prikhodko and J.E. Parks, “Optimization of Mode Switching Timing Control for a Lean-Burn Gasoline Engine With a Prototype Passive SCR System,” in ASME 2018 Dynamic Systems and Control Conference, 2018, pp. V002T27A005-V002T27A005.
  32. K. Yang and P. Chen, “Model Predictive Air-Fuel Ratio Control for an Integrated Gasoline Engine and Three-Way Catalytic Converter System,” in ASME 2018 Dynamic Systems and Control Conference, 2018, pp. V002T26A001-V002T26A001.
  33. B. Childress and P. Chen, “State and Output Estimations for a Class of Nonlinear Dynamic Systems With Highly Cross-Sensitive Output Measurements,” in ASME 2018 Dynamic Systems and Control Conference, 2018, pp. V002T21A003-V002T21A003.
  34. Q. Lin, P. Chen, V.Y. Prikhodko and J.E. Parks, “Configuration and Control Design for a Passive SCR System With NOx Storage Capability,” in ASME 2018 Dynamic Systems and Control Conference, 2018, pp. V002T26A005-V002T26A005.
  35. P. Chen and Q. Lin, “Simultaneous Optimization of Configuration and Control for a Passive SCR System,” in ASME 2018 Dynamic Systems and Control Conference, 2018, pp. V002T26A006-V002T26A006.
  36. P. Chen, Q. Lin,  V. Prikhodko, and J. Parks, “Non-Uniform Cylinder-to-Cylinder Combustion for Ammonia Generation in a New Passive SCR System,” American Control Conference (ACC) 2018, pp. 19-24, 2018.
  37. Q. Lin and P. Chen, “Non-Uniform Cylinder-to-Cylinder Combustion for Cost-Effective Lean NOx Trap Regeneration,” American Control Conference (ACC) 2018, pp. 31-36, 2018.
  38. Q. Lin and P. Chen, “Model-based Analysis and Control of SCR Using NOx Sensor Measurements,” American Control Conference (ACC) 2018, pp. 5522-5527, 2018.
  39. Q. Lin, and P. Chen, “Non-Uniform Combustion Based Mode Switching Control for A Passive SCR System,” American Control Conference (ACC) 2018, pp. 5536-5541, 2018.
  40. Q. Lin, P. Chen, and V. Prikhodko, “Model Predictive Control of a Lean-burn Gasoline Engine Coupled with a Passive Selective Catalytic Reduction System,” Dynamic Systems and Control Conference 2017, pp. V003T34A006-V003T34A006, 2017.
  41. J. Gong D. Wang, P. Chen, A. Brahma, J. Li, N. Currier, and A. Yezerets, “Lean Breakthrough Phenomena Analysis for TWC OBD on a Natural Gas Engine using a Dual-site Dynamic Oxygen Storage Capacity Model.” SAE Technical Paper 2017-01-0962, 2017.
  42. C. Hu, R. Wang, F. Yan, and P. Chen, “Integral Sliding Mode Yaw Control for In-Wheel-Motor Driven and Differentially Steered Electric Vehicles with Mismatched Disturbances,” American Control Conference 2017.
  43. Q. Lin and P. Chen “Model-based Diagnostics of Ammonia Storage Non-uniformity for a Selective Catalytic Reduction System,” American Control Conference (ACC) 2017, pp. 2594-2599, 2017.
  44. Q. Lin and P. Chen, “A Simple and Effective Methodology for Estimating Urea Selective Catalytic Reduction Systems States Based on NOx Sensor Measurement,” American Control Conference 2017 (invited paper), pp. 5367-5372, 2017.
  45. P. Chen and J. Wang, “A Robust Ammonia Coverage Ratio Control for Two-cell Selective Catalytic Reduction Systems during Low Temperature Operations,” American Control Conference (ACC) 2014, pp. 2606-2611, 2014.
  46. P. Chen and J. Wang, “Estimation of an Automotive Urea-based Selective Catalytic Reduction System during Low Temperature Operations,” American Control Conference (ACC) 2014, pp. 1523-1528, 2014.
  47. P. Chen and J. Wang, “Integrated Diesel Engine and Selective Catalytic Reduction System Active NOx Control for Fuel Economy Improvement,” in American Control Conference (ACC), 2013, pp. 2196-2201, 2013.
  48. P. Chen and J. Wang, “Control-oriented modeling of thermal behaviors for a Diesel oxidation catalyst,” in American Control Conference (ACC), 2012, pp. 4987-4992, 2012.
  49. P. Chen and J. Wang, “Oxygen Concentration Dynamic Model Through a Diesel Engine Aftertreatment System,” in Proceedings of the 2011 ASME Dynamic Systems and Control Conference, pp. 867-874, 2011.
  50. L. Wang, N. Clark, and P. Chen, “Modeling and Validation of an Over-the-Road Truck,” SAE Technical Paper, 2010-01-2001, 2010.
Patent (1)
  1. Avra Brahma, Pardis Khayyer, and Pingen Chen, “Systems and Methods for Model Based Catalyst Diagnostics,” PCT Application No. PCT/US2016/056880 (with Cummins Inc.).