Bio


Simona Onori received her Laurea Degree, summa cum laude, (Electrical and Computer Engineering) in 2003, her M.S. (Electrical Engineering) in 2004, her Ph.D. (Control Engineering) in 2007, from University of Rome ‘Tor Vergata’, University of New Mexico, Albuquerque, USA, and University of Rome ‘Tor Vergata’, respectively.
She is an Assistant Professor at Stanford University in Energy Resources Engineering, and Director of the Stanford Energy Control Lab since 2017. Previously, she was an Assistant Professor at Clemson University-International Center for Automotive Research (CU-ICAR) from 2013 to 2017 where she also held a courtesy appointment in Electrical Engineering. In 2007 she help a control research position at Thales-Alenia Space, in Rome, Italy where she worked on developing control algorithms for satellite control attitude stability. She was a Research Scientist with the Center for Automotive Research and lecturer in the Mechanical Engineering Department at The Ohio State from 2007 until 2013.
She held visiting professor positions at the University of Trento (2014, Italy), Beijing Institute of Technology (2015, China), and University of Orleans (2016, France) and she is a distinguished visiting professor at PSG College of Technology (2018, India).
She is the recipient of the 2019 Award for Excellence from the Board of Trustee, Clemson University, 2018 Global Innovation Contest by LGChem, 2018 Ralph R. Teetor Educational Award, by the Society of Automotive Engineers, 2017 NSF CAREER award, 2017 Clemson University College of Engineering and Science Dean’s Faculty Fellows Award, 2017 Clemson University Esin Gulari Leadership & Service Award, 2016 Energy Leadership Award in the category Emerging Leader (for the Carolinas), the 2015 Innovision Award (South Carolina), and 2012 Lumley Interdisciplinary Research, 2011 Outstanding Technology Team Award, TechColumbus. She was Chair of the IEEE CSS Technical Committee of Automotive Controls from 2015-2017, she is vice-chair of the IFAC TC on Automotive Control TC7.1 since 2015, and associate editor of the SAE International Journal of Alternative Powertrains since 2012 and IEEE Intelligent Vehicle Transactions since 2019 . She has co-authored a book, 2 book chapters and more than 120 peer-reviewed papers on hybrid electric vehicles simulation, optimization and control, estimation and control of electrochemical processes and catalytic conversion devices, such as batteries and after-treatment devices.

Academic Appointments


Administrative Appointments


  • Assistant Professor, Department of Energy Resources Engineering, Stanford University (2017 - Present)
  • Visiting Professor, PRISME, University of Orléans (2016 - 2016)
  • Invited Lecturer, National Engineering Lab for Electric Vehicles School of Mechanical Engineering, Beijing Institute of Technology (2015 - 2015)
  • Assistant Professor of Electrical and Computer Engineering (Joint Appointment), Clemson University (2014 - 2017)
  • Visiting Professor, Industrial Engineering Department, University of Trento, Italy (2014 - 2014)
  • Assistant Professor of Automotive Engineering, Clemson University (2013 - 2017)
  • Research Scientist, Senior Research Associate, Lecturer, Research Associate, The Ohio State University (2009 - 2013)
  • Postdoctoral Fellow, The Ohio State University (2007 - 2008)
  • Control Engineer, Orbit and Attitude Spacecraft Control Division, Thales-Alenia Space, Italy (2007 - 2007)

Honors & Awards


  • PSG Distinguished Visiting Professor awarded by the Managing Trustee, PSG College of Technology, India (2017)
  • College of Engineering and Science Dean’s Faculty Fellows Award, (three-year award) (2017)
  • Esin Gulari Leadership & Service Award College of Engineering, Computing and Applied Sciences, Clemson University (2017)
  • NSF CAREER, National Science Foundation (2017)
  • Energy Leadership Award in the category Emerging Leader, Energy Inc. Summit, Charlotte, NC, with recognition from U.S. Senator from NC, Thom Tillis (2016)
  • Sustainability Award, InnoVision State of South Carolina, with recognition from U.S. Senator from South Carolina, Timothy E. Scott (2015)
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE) (2015)
  • Lumley Interdisciplinary Research Award, OSU College of Engineering (2012)
  • Outstanding Technology Team Award, TechColumbus (2011)
  • Outstanding Student Fellowship, University of Rome “Tor Vergata”, Italy (1997-2000)

Boards, Advisory Committees, Professional Organizations


  • Associate Editor, SAE International Journal of Alternative Powertrains (2012 - Present)
  • Associate Editor, Frontiers Mechanical Engineering (2015 - Present)
  • Chair, Technical Committee on Automotive Controls, Institute of Electrical and Electronics Engineers Control Systems Society (IEEE CSS) (2015 - Present)
  • Vice Chair, Technical Committee on Automotive Control, International Federation of Automatic Control (IFAC) (2015 - Present)
  • Associate Editor of the Conference Editorial Board (CDC, ACC, CCTA), Institute of Electrical and Electronics Engineers Control System Society (IEEE CSS) (2014 - Present)
  • Associate Editor, Dynamic Systems and Control Conference, American Society of Mechanical Engineers (ASME) (2011 - 2016)
  • Vice Chair, International Program Committee, IFAC Symposium on Advances in Automotive Control, Orleans, France 2019 (2017 - Present)
  • Registration Chair, 1st IEEE Conference on Control Technology and Applications August 27-30, 2017 (2017 - 2017)
  • Program Chair, E-COSM'15 IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, Columbus, OH, 23 - 26 August 2015 (2015 - 2015)
  • Editor, IFAC-PapersOnLine Proceedings Volume 48, Issue 15, Pages 1-470, 4th IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling (E-COSM) (2015 - 2015)
  • International Programs Chair, ASME 2015 Dynamic Systems and Control Conference, Columbus, OH, 28-30 October 2015 (2015 - 2015)
  • Member, Automotive and Transportation Systems (ATS) Technical Committee, American Society of Mechanical Engineers (ASME) (2008 - Present)
  • Member, Technical Committee on Automotive Controls, Institute of Electrical and Electronics Engineers Control System Society (IEEE CSS) (2009 - Present)
  • Member, Technical Committee on Fault Detection, Supervision and Safety of Technical Processes, International Federation of Automatic Control (IFAC) (2009 - Present)
  • Member, Energy Systems Technical Committee, American Society of Mechanical Engineers (ASME) (2012 - Present)
  • Member, Technical Committee Automotive Control, International Federation of Automatic Control (IFAC) (2010 - Present)
  • Member, Society of Automotive Engineering (SAE) (2008 - Present)
  • Member, Institute of Electrical and Electronics Engineers (IEEE) (2009 - Present)
  • Member, American Society of Mechanical Engineering (ASME) (2009 - Present)
  • Member, International Federation of Automatic Control (2010 - Present)

Professional Education


  • Ph.D., University of Rome “Tor Vergata”, Control Engineering (2007)
  • M.S., University of New Mexico, Electrical and Computer Engineering (2005)
  • Laurea, University of Rome “Tor Vergata”, Information Technology and Electrical Engineering, summa cum laude (2003)

Current Research and Scholarly Interests


Modeling, control and optimization of dynamic systems;
Model-based control in advanced propulsion systems;
Energy management control and optimization in HEVs and PHEVs;
Energy storage systems- Li-ion and PbA batteries, Supercapacitors;
Battery aging modeling, state of health estimation and life prediction for control;
Damage degradation modeling in interconnected systems

All Publications


  • Mean-Value Exergy Modeling of Internal Combustion Engines: Characterization of Feasible Operating Regions JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME Pozzato, G., Rizzo, D. M., Onori, S. 2022; 144 (6)

    View details for DOI 10.1115/1.4053945

    View details for Web of Science ID 000789847800008

  • Lithium-ion battery aging dataset based on electric vehicle real-driving profiles. Data in brief Pozzato, G., Allam, A., Onori, S. 2022; 41: 107995

    Abstract

    This paper describes the experimental dataset of lithium-ion battery cells subjected to a typical electric vehicle discharge profile and periodically characterized through diagnostic tests. Data were collected at the Stanford Energy Control Laboratory, at Stanford University. The INR21700-M50T battery cells with graphite/silicon anode and Nickel-Manganese-Cobalt cathode were tested over a period of 23 months according to the Urban Dynamometer Driving Schedule (UDDS) discharge driving profile and the Constant Current (CC)-Constant Voltage (CV) charging protocol designed at different charging rates - ranging from C/4 to 3C. Ten (10) cells are tested in a temperature-controlled environment (23 ∘ C). A periodic assessment of battery degradation during life testing is accomplished via Reference Performance Tests (RPTs) comprising of capacity, Hybrid Pulse Power Characterization (HPPC), and Electrochemical Impedance Spectroscopy (EIS) tests. The dataset allows for the characterization of battery aging under real-driving scenarios, enabling the development of models and management strategies in electric vehicle applications.

    View details for DOI 10.1016/j.dib.2022.107995

    View details for PubMedID 35252504

  • Exergy-based modeling framework for hybrid and electric ground vehicles APPLIED ENERGY Dettu, F., Pozzato, G., Rizzo, D. M., Onori, S. 2021; 300
  • Framework for energy storage selection to design the next generation of electrified military vehicles ENERGY Catenaro, E., Rizzo, D. M., Onori, S. 2021; 231
  • A Robust and Sleek Electrochemical Battery Model Implementation: A MATLAB (R) Framework JOURNAL OF THE ELECTROCHEMICAL SOCIETY Lee, S., Onori, S. 2021; 168 (9)
  • Physics-based linear model predictive control strategy for three-way catalyst air/fuel ratio control PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING Mamun, A., Zhu, Q., Hoffman, M., Onori, S. 2021
  • Experimental analysis and analytical modeling of Enhanced-Ragone plot APPLIED ENERGY Catenaro, E., Rizzo, D. M., Onori, S. 2021; 291
  • Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION Hu, X., Che, Y., Lin, X., Onori, S. 2021; 7 (2): 382-398
  • Experimental data of lithium-ion batteries under galvanostatic discharge tests at different rates and temperatures of operation. Data in brief Catenaro, E., Onori, S. 2021; 35: 106894

    Abstract

    In this paper, we report data from lithium battery cells from: Panasonic NCR-18650B (3350 mAh), LG Chem INR21700-M50 (4850 mAh) and A123 Systems ANR26650m1-B (2500 mAh). They own the same anode composition, graphite-based, and different cathode chemistry: lithium-nickel-cobalt aluminum-oxide (NCA), lithium-nickel-manganese-cobalt-oxide (NMC) and lithium-iron-phosphate (LFP), respectively. In this study, six cell samples were tested for each chemistry. The experiments consist in fully discharging the cells from 100% state-of-charge until the cell cutoff discharge voltage. The discharge is performed under controlled temperature conditions, namely 5°C, 25°C and 35°C, and subjecting the battery cells to galvanostatic discharge rates ranging from C/20 to 5C, for NCA and NMC, and from C/20 to 20C, for LFP chemistry. The IncuMax IC-500R thermal chamber provides the reference temperature to the cell. The input current profiles are configured via the MITS Pro-software, and transmitted through the TCP/IP connection to the Arbin measurement system and the Arbin LBT21024. Voltage, current and cell surface temperature are measured on each cell and for each experiment to characterize the cells in terms of discharge capacity, discharge efficiency, thermal robustness, specific energy and specific power. A comprehensive analysis of the data is found in [1].

    View details for DOI 10.1016/j.dib.2021.106894

    View details for PubMedID 33732821

  • Multistage Time-Optimal Control for Synchronization Process in Electric-Driven Mechanical Transmission With Angle Alignment Considering Torque Response Process JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME Lu, Z., Tian, G., Onori, S. 2021; 143 (4)

    View details for DOI 10.1115/1.4048783

    View details for Web of Science ID 000621917000006

  • On Rigorous Model-Order Reduction of the Thermal and Oxygen Storage Dynamics of Three Way Catalytic Converters JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME Dettu, F., Onori, S. 2021; 143 (3)

    View details for DOI 10.1115/1.4048359

    View details for Web of Science ID 000616935400005

  • Linearized Versus Nonlinear Observability Analysis for Lithium-Ion Battery Dynamics: Why Respecting the Nonlinearities Is Key for Proper Observer Design IEEE ACCESS Allam, A., Onori, S. 2021; 9: 163431-163440
  • Pushing the Eenvelope in Battery Estimation Algorithms. iScience Allam, A., Catenaro, E., Onori, S. 2020; 23 (12): 101847

    Abstract

    Accurate estimation of lithium-ion battery health will (a) improve the performance and lifespan of battery packs in electric vehicles, spurring higher adoption rates, (b) determine the actual extent of battery degradation during usage, enabling a health-conscious control, and (c) assess the available battery life upon retiring of the vehicle to re-purpose the batteries for "second-use" applications. In this paper, the real-time validation of an advanced battery health estimation algorithm is demonstrated via electrochemistry, control theory, and battery-in-the-loop (BIL) experiments. The algorithm is an adaptive interconnected sliding mode observer, based on a battery electrochemical model, which simultaneously estimates the critical variables such as the state of charge (SOC) and state of health (SOH). The BIL experimental results demonstrate that the SOC/SOH estimates from the observer converge to an error of 2% with respect to their true values, in the face of incorrect initialization and sensor signal corruption.

    View details for DOI 10.1016/j.isci.2020.101847

    View details for PubMedID 33313491

  • Stochastic capacity loss and remaining useful life models for lithium-ion batteries in plug-in hybrid electric vehicles JOURNAL OF POWER SOURCES Chu, A., Allam, A., Arenas, A., Rizzoni, G., Onori, S. 2020; 478
  • Aging-Aware Optimal Energy Management Control for a Parallel Hybrid Vehicle Based on Electrochemical-Degradation Dynamics IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY De Pascali, L., Biral, F., Onori, S. 2020; 69 (10): 10868–78
  • Hierarchical Coordination of Two-Time Scale Microgrids With Supply-Demand Imbalance IEEE TRANSACTIONS ON SMART GRID Du, Y., Wu, J., Li, S., Long, C., Onori, S. 2020; 11 (5): 3726–36
  • Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures IEEE INDUSTRIAL ELECTRONICS MAGAZINE Hu, X., Zhang, K., Liu, K., Lin, X., Dey, S., Onori, S. 2020; 14 (3): 65–91
  • A Data-Driven Multiscale Framework to Estimate Effective Properties of Lithium-Ion Batteries from Microstructure Images TRANSPORT IN POROUS MEDIA Korneev, S., Arunachalam, H., Onori, S., Battiato, I. 2020; 134 (1): 173–94
  • Modeling the Flow and Transport Dynamics in Gasoline Particulate Filters to Improve Filtration Efficiency JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME Korneev, S., Onori, S. 2020; 142 (6)

    View details for DOI 10.1115/1.4046151

    View details for Web of Science ID 000528817700009

  • Experimental Validation of Nonlinear Model Predictive Control for a Heavy-Duty Diesel Engine Waste Heat Recovery System JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME Xu, B., Yebi, A., Rathod, D., Onori, S., Filipi, Z., Hoffman, M. 2020; 142 (5)

    View details for DOI 10.1115/1.4046152

    View details for Web of Science ID 000522102300002

  • 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 Xu, B., Yebi, A., Hoffman, M., Onori, S. 2020; 28 (2): 635–43
  • A comparative analysis of dynamic evaporator models for organic Rankine cycle waste heat recovery systems APPLIED THERMAL ENGINEERING Xu, B., Rathod, D., Yebi, A., Onori, S., Filipi, Z., Hoffman, M. 2020; 165
  • Modeling the thermal and soot oxidation dynamics inside a ceria-coated gasoline particulate filter CONTROL ENGINEERING PRACTICE Arunachalam, H., Pozzato, G., Hoffman, M. A., Onori, S. 2020; 94
  • Time-Optimal Coordination Control for the Gear-Shifting Process in Electric-Driven Mechanical Transmission (Dog Clutch) without Impacts SAE INTERNATIONAL JOURNAL OF ELECTRIFIED VEHICLES Lu, Z., Tian, G., Onori, S. 2020; 9 (2): 155–68
  • Online Capacity Estimation for Lithium-Ion Battery Cells via an Electrochemical Model-Based Adaptive Interconnected Observer IEEE Transactions on Control Systems Technology Allam, A., Onori, S. 2020: 16
  • Offline Multiobjective Optimization for Fast Charging and Reduced Degradation in Lithium-ion Battery Cells using Electrochemical Dynamics IEEE Control Systems Letters Lam, F., Allam, A., Joe, W., Choi, Y., Onori, S. 2020
  • Coordinated Energy Dispatch of Autonomous Microgrids With Distributed MPC Optimization IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS Du, Y., Wu, J., Li, S., Long, C., Onori, S. 2019; 15 (9): 5289–98
  • A comprehensive review of organic rankine cycle waste heat recovery systems in heavy-duty diesel engine applications RENEWABLE & SUSTAINABLE ENERGY REVIEWS Xu, B., Rathod, D., Yebi, A., Filipi, Z., Onori, S., Hoffman, M. 2019; 107: 145–70
  • Full Homogenized Macroscale Model and Pseudo-2-Dimensional Model for Lithium-Ion Battery Dynamics: Comparative Analysis, Experimental Verification and Sensitivity Analysis JOURNAL OF THE ELECTROCHEMICAL SOCIETY Arunachalam, H., Onori, S. 2019; 166 (8): A1380–A1392
  • A switched and scheduled design for model recovery anti-windup of linear plants EUROPEAN JOURNAL OF CONTROL Cristofaro, A., Galeani, S., Onori, S., Zaccarian, L. 2019; 46: 23–35
  • A Novel Model-Based Estimation Scheme for Battery-Double-Layer Capacitor Hybrid Energy Storage Systems IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY Dey, S., Mohon, S., Ayalew, B., Arunachalam, H., Onori, S. 2019; 27 (2): 689–702
  • An Integrated Design and Control Optimization Framework for Hybrid Military Vehicle Using Lithium-Ion Battery and Supercapacitor as Energy Storage Devices IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION Abdullah-Al Mamun, Liu, Z., Rizzo, D. M., Onori, S. 2019; 5 (1): 239–51
  • Aging characterization and modeling of nickel-manganese-cobalt lithium-ion batteries for 48V mild hybrid electric vehicle applications JOURNAL OF ENERGY STORAGE Liu, Z., Ivanco, A., Onori, S. 2019; 21: 519–27
  • An Economic Nonlinear Model Predictive Control Strategy for SI Engines: Model-Based Design and Real-Time Experimental Validation IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY Zhu, Q., Onori, S., Prucka, R. 2019; 27 (1): 296–310
  • An Interconnected Observer for Concurrent Estimation of Bulk and Surface Concentration in the Cathode and Anode of a Lithium-ion Battery IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS Allam, A., Onori, S. 2018; 65 (9): 7311–21
  • Combined Battery Design Optimization and Energy Management of a Series Hybrid Military Truck SAE INTERNATIONAL JOURNAL OF ALTERNATIVE POWERTRAINS Liu, Z., Mamun, A., Rizzo, D. M., Onori, S. 2018; 7 (2): 155–67
  • Design and experimental validation of a physics-based oxygen storage — thermal model for three way catalyst including aging Control Engineering Practice Sabatini, S., Gelmini, S., Hoffman, M. A., Onori, S. 2017; 68: 89-101
  • Transient Power Optimization of an Organic Rankine Cycle Waste Heat Recovery System for Heavy-Duty Diesel Engine Applications SAE International Journal of Alternative Powertrains Xu, B., Yebi, A., Onori, S., Filipi, Z., Liu, X., Shutty, J., Anschel, P., Hoffman, M. 2017; 6 (1)

    View details for DOI 10.4271/2017-01-0133

  • Transient dynamic modeling and validation of an organic Rankine cycle waste heat recovery system for heavy duty diesel engine applications Applied Energy Xu, B., Rathod, D., Kulkarni, S., Yebi, A., Filipi, Z., Onori, S., Hoffman, M. 2017; 205: 260-279
  • Model Predictive Control of an Organic Rankine Cycle System Energy Procedia Liu, X., Yebi, A., Anschel, P., Shutty, J., Xu, B., Hoffman, M., Onori, S. 2017; 129: 184-191
  • Determining Three-Way Catalyst Age Using Differential Lambda Signal Response SAE International Journal of Engines Rathod, D., Hoffman, M. A., Onori, S. 2017; 10 (3)

    View details for DOI 10.4271/2017-01-0982

  • 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 Liu, Z., Onori, S., IVANCO, A. 2017

    View details for DOI 10.1109/TVT.2017.2717187

  • Estimation and Predictive Control of a Parallel Evaporator Diesel Engine Waste Heat Recovery System IEEE Transactions on Control Systems Technology Yebi, A., Xu, B., Liu, X., Shutty, J., Anschel, P., Onori, S., Hoffman, M. 2017
  • Electrochemical Model-Based State of Charge and Capacity Estimation for a Composite Electrode Lithium-Ion Battery IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY Bartlett, A., Marcicki, J., Onori, S., Rizzoni, G., Yang, X. G., Miller, T. 2016; 24 (2): 384-399
  • A control-oriented cycle-life model for hybrid electric vehicle lithium ion batteries ENERGY Suri, G., Onori, S. 2016; 96: 644-653
  • Energy Management Design in Hybrid Electric Vehicles: A Novel Optimality and Stability Framework IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY Mura, R., Utkin, V., Onori, S. 2015; 23 (4): 1292-1307
  • Adaptive Pontryagin's Minimum Principle supervisory controller design for the plug-in hybrid GM Chevrolet Volt APPLIED ENERGY Onori, S., Tribioli, L. 2015; 147: 224-234
  • 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 Cordoba-Arenas, A., Onori, S., Rizzoni, G. 2015; 279: 791-808
  • Capacity and power fade cycle-life model for plug-in hybrid electric vehicle lithium-ion battery cells containing blended spinel and layered-oxide positive electrodes JOURNAL OF POWER SOURCES Cordoba-Arenas, A., Onori, S., Guezennec, Y., Rizzoni, G. 2015; 278: 473-483
  • On Veracity of Macroscopic Lithium-Ion Battery Models JOURNAL OF THE ELECTROCHEMICAL SOCIETY Arunachalam, H., Onori, S., Battiato, I. 2015; 162 (10): A1940-A1951
  • Energy Management of Hybrid Electric Vehicles: 15 Years of Development at the Ohio State University OIL & GAS SCIENCE AND TECHNOLOGY-REVUE D IFP ENERGIES NOUVELLES Rizzoni, G., Onori, S. 2015; 70 (1): 41-54
  • Cloud-Based Velocity Profile Optimization for Everyday Driving: A Dynamic-Programming-Based Solution IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Ozatay, E., Onori, S., Wollaeger, J., Ozguner, U., Rizzoni, G., Filev, D., Michelini, J., Di Cairano, S. 2014; 15 (6): 2491-2505
  • Insight into the HEV/PHEV optimal control solution based on a new tuning method CONTROL ENGINEERING PRACTICE Guardiola, C., Pla, B., Onori, S., Rizzoni, G. 2014; 29: 247-256
  • A control benchmark on the energy management of a plug-in hybrid electric vehicle CONTROL ENGINEERING PRACTICE Sciarretta, A., Serrao, L., Dewangan, P. C., Tona, P., Bergshoeff, E. N., Bordons, C., Charmpa, L., Elbert, P., Eriksson, L., Hofman, T., Hubacher, M., Isenegger, R., Lacandia, F., LAVEAU, A., Li, H., Marcos, D., Nueesch, T., Onori, S., Pisu, P., Rios, J., Silvas, E., Sivertsson, M., Tribioli, L., van der Hoeven, A., Wu, M. 2014; 29: 287-298
  • An optimal regulation strategy with disturbance rejection for energy management of hybrid electric vehicles AUTOMATICA Sampathnarayanan, B., Onori, S., Yurkovich, S. 2014; 50 (1): 128-140
  • Modeling and experimental validation of a Hybridized Energy Storage System for automotive applications JOURNAL OF POWER SOURCES Fiorenti, S., Guanetti, J., Guezennec, Y., Onori, S. 2013; 241: 112-120
  • Modelling and control of a brake system for an extended range electric vehicle equipped with axle motors INTERNATIONAL JOURNAL OF VEHICLE DESIGN Bayar, K., Biasini, R., Onori, S., Rizzoni, G. 2012; 58 (2-4): 399-426
  • A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME Serrao, L., Onori, S., Rizzoni, G. 2011; 133 (3)

    View details for DOI 10.1115/1.4003267

    View details for Web of Science ID 000288807700012

  • MODEL-BASED FAULT DIAGNOSIS FOR NIMH PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE 2008, PTS A AND B Suozzo, C., Onori, S., Rizzoni, G. 2009: 1349-1355
  • EXPERIMENTAL CALIBRATION AND VALIDATION OF FAULT DIAGNOSIS AND PROGNOSIS ALGORITHMS FOR AUTOMOTIVE ELECTRIC POWER GENERATION AND STORAGE SYSTEM PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE 2008, PTS A AND B Li, W., Suozzo, C., Onori, S., Rizzoni, G., Salman, M. A., Zhang, F. 2009: 1317-1324
  • HIERARCHICAL DIAGNOSIS & PROGNOSIS STRATEGY FOR ELECTRICAL POWER GENERATION AND STORAGE SYSTEM PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE 2008, PTS A AND B Bologna, L., Guerini, I., Onori, S., Rizzoni, G., Salman, M. A., Zhang, F. 2009: 1301-1308
  • ECMS as a realization of Pontryagin's minimum principle for HEV control 2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9 Serrao, L., Onori, S., Rizzoni, G. 2009: 3964-3969
  • Nonlinear scheduled control for linear systems subject to saturation with application to anti-windup control PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 Galeani, S., Onori, S., Zaccarian, L. 2007: 4191-4196
  • Further results on static linear anti-windup design for control systems subject to magnitude and rate saturation PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 Galeani, S., Onori, S., Teel, A. R., Zaccarian, L. 2006: 6376-6376
  • Finite Time Stability design via feedback linearization 2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8 Onori, S., Dorato, P., Galeani, S., Abdallah, C. T. 2005: 4915-4920
  • Multi-channel physics-based modeling and experimental validation of an uncoated Gasoline Particulate Filter in clean operating conditions American Control Conference 2017 Pozzato, G., Hoffman, M. A., Onori, S. 2017: 5392–5539
  • Multiscale modeling approach to determine effective lithium-ion transport properties American Control Conference 2017 Arunachalam, A., Korneev, S., Battiato, I., Onori, S. 2017: 92–97
  • Development and experimental validation of a Dual Extended Kalman Filter for three way catalytic converter American Control Conference 2017 Gelmini, S., Sabatini, S., Hoffman, M. A., Onori, S. 2017: 5386–91
  • Nonlinear model predictive air path control for turbocharged SI engines with low pressure EGR and a continuous surge valve American Control Conference 2017 Zhu, Q., Koli, R., Feng, L., Onori, S., Prucka, R. 2017: 4741–46