Journal Articles

39. Arunachalam, H., & Onori, S. (2019). Full Homogenized Macroscale Model and Pseudo-2-Dimensional Model for Lithium-Ion Battery Dynamics: Comparative Analysis, Experimental Verification and Sensitivity Analysis. ournal of The Electrochemical Society, 6(8), 1380-1392. https://doi.org/10.1149/2.0051908jes

38. Mamun, A., Liu, Z., Rizzo, D., & Onori, S. (2019). An Integrated Design and Control Optimization Framework for Hybrid Military Vehicle using Lithium-ion and Supercapacitor. IEEE Transactions on Transportation Electrification, 5(1), 239-251. https://doi.org/10.1109/TTE.2018.2869038

37. Du, Y., Wu, J., Li, S., Long, S., & Onori, S. (2019). Coordinated Energy Dispatch of Autonomous Microgrids with Distributed MPC Optimization. IEEE Transactions on Industrial Informatics, 15(9), 5289-5298. https://doi.org/10.1109/TII.2019.2899885

36. Zhu, Q., Onori, S., & Prucka, R. (2019). An Economic Nonlinear Model Predictive Control Strategy for SI Engines: Model Based Design and Real-time Experimental Validation. IEEE Transactions on Control Systems Technology, 27(1). https://doi.org/10.1109/TCST.2017.2769660

35. Dey, S., Mohon, S., Ayalew, B., Arunachalam, H., & Onori, S. (2019). A Novel Model-based Estimation Scheme for Battery-Double Layer Capacitor Hybrid Energy Storage Systems. IEEE Transactions on Control Systems Technology, 27(2), 689-702. https://doi.org/10.1109/TCST.2017.2781650

34. Liu, Z., Ivanco, A., & Onori, S. (2019). Aging Characterization and Modeling of Nickel-Manganese-Cobalt Lithium-ion Batteries for 48V Mild Hybrid Electric Vehicle Applications. Journal of Energy Storage, 21, 519-527. https://doi.org/10.1016/j.est.2018.11.016

33. Allam, A., & Onori, S. (2018). An Interconnected Observer for Concurrent Estimation of Bulk and Surface Concentration in Cathode and Anode of a Lithium-ion Battery. IEEE Transactions on Industrial Electronics, 65(9), 7311-7321. https://doi.org/10.1109/TIE.2018.2793194

32. Liu, Z., Mamun, A., Rizzo, D., & Onori, S. (2018). Combined Battery Design Optimization and Energy Management of a Series Hybrid Military Truck. SAE Int. J. Alt. Power, 7(2), 155-168. https://doi.org/jstor.org/stable/26559575

31. Sabatini, S., Gelmini, S., Hoffman, M., & Onori, S. (2017). Design and experimental validation of a physics-based oxygen storage - thermal model for three way catalyst including aging. Control Engineering Practice, 68, 89-101. https://doi.org/10.1016/j.conengprac.2017.07.007

30. Rathod, D., Hoffman, M., & Onori, S. (2017). Determining Three-Way Catalyst Age Using Differential Lambda Signal Response,. SAE Int. J. Engines , 10(3), 1305-1312. https://doi.org/10.4271/2017-01-0982

29. Xu, B., Yebi, A., Onori, S., Filipi, Z., Liu, X., Shutty, J., Anschel, P., & Hoffman, M. (2017). Transient Power Optimization of an Organic Rankine Cycle Waste Heat Recovery System for Heavy-Duty Diesel Engine Applications. SAE Int. J. Alt. Power., 6(1). https://doi.org/10.4271/2017-01-0133

28. Liu, X., Yebi, A., Anschel, P., Shutty, J., Xu, B., Hoffman, M., & Onori, S. (2017). Model Predictive Control of an Organic Rankine Cycle System. Energy Procedia, 184-191. https://doi.org/10.1016/j.egypro.2017.09.109

27. Liu, Z., Onori, S., & Ivanko, A. (2017). Synthesis and Experimental Validation of Battery Aging Test Profiles Based on Real-World Duty Cycles for 48V Mild Hybrid Vehicles. IEEE Transactions on Vehicular Technology, 66(10), 8702-8709. https://doi.org/10.1109/TVT.2017.2717187

26. Xu, B., Rathod, D., Kulkarni, S., Yebi, A., Filipi, Z., Onori, S., & Hoffman, M. (2017). Transient Dynamic Modeling and Validation of an Organic Rankine Cycle Waste Heat Recovery System for Heavy Duty Diesel Engine Applications. Applied Energy, 205, 260–279. https://doi.org/10.1016/j.apenergy.2017.07.038

25. Taborelli, C., Onori, S., Maes, S., Sveum, P., Al-Hallaj, S., & Al-Khayat, N. (2016). Advanced battery management system design for SOC/SOH estimation for e-bikes applications. International Journal of Powertrains (IJPT), 5(4). https://doi.org/10.1504/IJPT.2016.081795

24. Suri, G., & Onori, S. (2016). Control-oriented cycle-life model for hybrid electric vehicle lithium-ion batteries. Energy, 96, 644–653. https://doi.org/10.1016/j.energy.2015.11.075

22. Onori, S., & Tribioli, L. (2015). Adaptive Pontryagin’s Minimum Principle Supervisory Controller Design for the Plug-in Hybrid GM Chevrolet Volt. Applied Energy, 147, 224-234. https://doi.org/10.1016/j.apenergy.2015.01.021

21. Mura, R., Utkin, V., & Onori, S. (2015). Energy management design in Hybrid Electric Vehicles: a novel optimality and stability framework. IEEE Transactions on Control System Technology, 23(4), 1307-1322. https://doi.org/10.1109/TCST.2014.2363617

20. Cordoba-Arenas, A., Onori, S., & Rizzoni, G. (2015). A control-oriented lithium-ion battery pack model for plug-in hybrid electric vehicle cycle-life studies and system design with consideration of health management. Journal of Power Sources, 279, 1-18. https://doi.org/10.1016/j.jpowsour.2014.12.048

19. Ahmed, R., Gazzarri, J., Onori, S., Habibi, S., Jackey, R., Rzemien, K., Tjong, J., & LeSage, J. (2015). Model-based parameter identification of healthy and aged li-ion batteries for electric vehicles,. SAE Int. J. Alt. Power., 4(2), 233-247. https://doi.org/10.4271/2015-01-0252