Simona Onori
Associate Professor of Energy Science Engineering, Senior Fellow at the Precourt Institute for Energy and Associate Professor, by courtesy, of Electrical Engineering
Energy Science & Engineering
Web page: https://onorilab.stanford.edu
Bio
Simona Onori is an Associate Professor in Energy Science and Engineering at Stanford University, where she also holds a courtesy appointment in Electrical Engineering. She is the Director of the Stanford Energy Control Lab and a Senior Fellow at the Precourt Institute for Energy. She is a SAE Fellow and serves as the Editor-in-Chief of the SAE International Journal of Electrified Vehicles (since 2020) and was a Distinguished Lecturer for the IEEE Vehicular Technology Society from 2020 to 2022. She has been a Senior Member of the IEEE since 2015 and was elected to the Board of Governors of the IEEE Control Systems Society for the 2024–2026 term.
Dr. Onori was named one of the InspiringFifty Italy 2024 winners, recognizing her as a role model in innovation and technology. She received the 2020 U.S. Department of Energy Clean Energy Education & Empowerment (C3E) Award in the Research category, the 2019 Board of Trustees Award for Excellence from Clemson University, the 2018 Global Innovation Contest Award by LG Chem, the 2018 SAE Ralph R. Teetor Educational Award, and the 2017 NSF CAREER Award. Additional honors include the 2017 Faculty Fellows Award from the College of Engineering and Science at Clemson University (a three-year award), the 2017 Esin Gulari Leadership & Service Award from Clemson University’s College of Engineering, the 2017 Energy Leadership Award from the Energy Inc. Summit in Charlotte, NC, with recognition from North Carolina Senator Thom Tillis, and the 2016 Sustainability Award from InnoVision in the State of South Carolina, with recognition from South Carolina U.S. Senator Timothy E. Scott. Earlier recognitions include the 2012 Lumley Interdisciplinary Research Award from The Ohio State University College of Engineering and the 2011 Outstanding Technology Team Award from TechColumbus.
She served as Chair of the IEEE Control Systems Society Technical Committee on Automotive Controls (2015-2017) and is currently Vice-Chair of the IFAC Technical Committee on Automotive Controls TC 7.1. She is co-author of a book and two book chapters on hybrid electric vehicles and has published over 200 peer-reviewed journal articles and conference proceedings. Under her mentorship, her students received the 2017 IEEE CCTA Best Paper Award, the 2021 IEEE CCTA Outstanding Paper Award, and the 2021 IEEE Transactions on Control Systems Technology Outstanding Paper Award.
She earned a Laurea Degree in Electrical and Computer Engineering from University of Rome “Tor Vergata”, an M.S. in Electrical Engineering from University of New Mexico, and a PhD. in Control Engineering from University of Rome “Tor Vergata.
Academic Appointments
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Associate Professor, Energy Science & Engineering
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Senior Fellow, Precourt Institute for Energy
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Associate Professor (By courtesy), Electrical Engineering
Administrative Appointments
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Assistant Professor, Department of Energy Resources Engineering, Stanford University (2018 - 2023)
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Visiting Professor, PRISME, University of Orléans (2016 - 2016)
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Invited Lecturer, National Engineering Lab for Electric Vehicles School of Mechanical Engineering, Beijing Institute of Technology (2015 - 2015)
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Assistant Professor of Electrical and Computer Engineering (Joint Appointment), Clemson University (2014 - 2017)
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Visiting Professor, Industrial Engineering Department, University of Trento, Italy (2014 - 2014)
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Assistant Professor of Automotive Engineering, Clemson University (2013 - 2017)
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Research Scientist, Senior Research Associate, Lecturer, Research Associate, The Ohio State University (2009 - 2013)
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Postdoctoral Fellow, The Ohio State University (2007 - 2008)
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Control Engineer, Orbit and Attitude Spacecraft Control Division, Thales-Alenia Space, Italy (2007 - 2007)
Honors & Awards
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PSG Distinguished Visiting Professor awarded by the Managing Trustee, PSG College of Technology, India (2017)
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College of Engineering and Science Dean’s Faculty Fellows Award, (three-year award) (2017)
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Esin Gulari Leadership & Service Award College of Engineering, Computing and Applied Sciences, Clemson University (2017)
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NSF CAREER, National Science Foundation (2017)
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Energy Leadership Award in the category Emerging Leader, Energy Inc. Summit, Charlotte, NC, with recognition from U.S. Senator from NC, Thom Tillis (2016)
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Sustainability Award, InnoVision State of South Carolina, with recognition from U.S. Senator from South Carolina, Timothy E. Scott (2015)
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Senior Member, Institute of Electrical and Electronics Engineers (IEEE) (2015)
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Lumley Interdisciplinary Research Award, OSU College of Engineering (2012)
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Outstanding Technology Team Award, TechColumbus (2011)
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Outstanding Student Fellowship, University of Rome “Tor Vergata”, Italy (1997-2000)
Boards, Advisory Committees, Professional Organizations
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Associate Editor, SAE International Journal of Alternative Powertrains (2012 - 2019)
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Associate Editor, Frontiers Mechanical Engineering (2015 - Present)
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Chair, Technical Committee on Automotive Controls, Institute of Electrical and Electronics Engineers Control Systems Society (IEEE CSS) (2015 - Present)
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Vice Chair, Technical Committee on Automotive Control, International Federation of Automatic Control (IFAC) (2015 - Present)
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Associate Editor of the Conference Editorial Board (CDC, ACC, CCTA), Institute of Electrical and Electronics Engineers Control System Society (IEEE CSS) (2014 - Present)
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Associate Editor, Dynamic Systems and Control Conference, American Society of Mechanical Engineers (ASME) (2011 - 2016)
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Vice Chair, International Program Committee, IFAC Symposium on Advances in Automotive Control, Orleans, France 2019 (2017 - Present)
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Registration Chair, 1st IEEE Conference on Control Technology and Applications August 27-30, 2017 (2017 - 2017)
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Program Chair, E-COSM'15 IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, Columbus, OH, 23 - 26 August 2015 (2015 - 2015)
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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)
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International Programs Chair, ASME 2015 Dynamic Systems and Control Conference, Columbus, OH, 28-30 October 2015 (2015 - 2015)
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Member, Automotive and Transportation Systems (ATS) Technical Committee, American Society of Mechanical Engineers (ASME) (2008 - Present)
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Member, Technical Committee on Automotive Controls, Institute of Electrical and Electronics Engineers Control System Society (IEEE CSS) (2009 - Present)
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Member, Technical Committee on Fault Detection, Supervision and Safety of Technical Processes, International Federation of Automatic Control (IFAC) (2009 - Present)
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Member, Energy Systems Technical Committee, American Society of Mechanical Engineers (ASME) (2012 - Present)
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Member, Technical Committee Automotive Control, International Federation of Automatic Control (IFAC) (2010 - Present)
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Member, Society of Automotive Engineering (SAE) (2008 - Present)
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Member, Institute of Electrical and Electronics Engineers (IEEE) (2009 - Present)
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Member, American Society of Mechanical Engineering (ASME) (2009 - Present)
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Member, International Federation of Automatic Control (2010 - Present)
Professional Education
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Ph.D., University of Rome “Tor Vergata”, Control Engineering
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M.S., University of New Mexico, Electrical and Computer Engineering
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Laurea, University of Rome “Tor Vergata”, Information Technology and Electrical Engineering, summa cum laude
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
2024-25 Courses
- ESE Master's Graduate Seminar
ENERGY 351 (Aut) - ESE PhD Graduate Seminar
ENERGY 352 (Aut) -
Independent Studies (8)
- Advanced Research Work in Energy Science and Engineering
ENERGY 360 (Aut, Win, Spr, Sum) - Directed Research in Environment and Resources
ENVRES 399 (Aut, Win, Spr, Sum) - Doctoral Degree Research in Energy Science and Engineering
ENERGY 363 (Aut, Win, Spr, Sum) - Doctoral Degree Teaching Requirement
ENERGY 358 (Aut, Win, Spr) - Master's Degree Research in Energy Science and Engineering
ENERGY 361 (Aut, Win, Spr, Sum) - Master's Research
CME 291 (Aut, Win, Spr, Sum) - Ph.D. Research
MATSCI 300 (Aut, Win, Spr, Sum) - Practical Training
MATSCI 299 (Aut, Win, Spr, Sum)
- Advanced Research Work in Energy Science and Engineering
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Prior Year Courses
2023-24 Courses
2022-23 Courses
- Electrochemical Energy Storage Systems: Modeling and Estimation
ENERGY 295 (Win) - Energy storage and conversion: Solar Cells, Fuel Cells, Batteries and Supercapacitors
ENERGY 293 (Aut)
2021-22 Courses
- Electrochemical Energy Storage Systems: Modeling and Estimation
ENERGY 295 (Aut)
- Electrochemical Energy Storage Systems: Modeling and Estimation
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Xiao Cui, Vivek Lam -
Postdoctoral Faculty Sponsor
Yizhao Gao, Maitri Uppaluri, Le Xu -
Doctoral Dissertation Advisor (AC)
Joseph Lucero -
Doctoral Dissertation Co-Advisor (AC)
Alexis Geslin -
Doctoral (Program)
David Akanmu, Pietro Bosoni, Muhammad Aadil Khan, Andrea Lanubile, Sai Thatipamula
All Publications
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EV-EcoSim: A Grid-Aware Co-Simulation Platform for the Design and Optimization of Electric Vehicle Charging Infrastructure
IEEE Transactions on Smart Grid
2023
View details for DOI 10.1109/TSG.2023.3339374
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Mean-Value Exergy Modeling of Internal Combustion Engines: Characterization of Feasible Operating Regions
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
2022; 144 (6)
View details for DOI 10.1115/1.4053945
View details for Web of Science ID 000789847800008
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Lithium-ion battery aging dataset based on electric vehicle real-driving profiles.
Data in brief
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
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Exergy-based modeling framework for hybrid and electric ground vehicles
APPLIED ENERGY
2021; 300
View details for DOI 10.1016/j.apenergy.2021.117320
View details for Web of Science ID 000684565700008
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Framework for energy storage selection to design the next generation of electrified military vehicles
ENERGY
2021; 231
View details for DOI 10.1016/j.energy.2021.120695
View details for Web of Science ID 000670308200005
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A Robust and Sleek Electrochemical Battery Model Implementation: A MATLAB (R) Framework
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
2021; 168 (9)
View details for DOI 10.1149/1945-7111/ac22c8
View details for Web of Science ID 000697832400001
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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
2021
View details for DOI 10.1177/09544070211021207
View details for Web of Science ID 000682389000001
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Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
2021; 7 (2): 382-398
View details for DOI 10.1109/TTE.2020.3017090
View details for Web of Science ID 000649633600003
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Experimental analysis and analytical modeling of Enhanced-Ragone plot
APPLIED ENERGY
2021; 291
View details for DOI 10.1016/j.apenergy.2021.116473
View details for Web of Science ID 000640380600001
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Experimental data of lithium-ion batteries under galvanostatic discharge tests at different rates and temperatures of operation.
Data in brief
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
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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
2021; 143 (4)
View details for DOI 10.1115/1.4048783
View details for Web of Science ID 000621917000006
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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
2021; 143 (3)
View details for DOI 10.1115/1.4048359
View details for Web of Science ID 000616935400005
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Linearized Versus Nonlinear Observability Analysis for Lithium-Ion Battery Dynamics: Why Respecting the Nonlinearities Is Key for Proper Observer Design
IEEE ACCESS
2021; 9: 163431-163440
View details for DOI 10.1109/ACCESS.2021.3130631
View details for Web of Science ID 000731135600001
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Fast Charging-Minimum Degradation Optimal Control of Series-Connected Battery Modules with DC/DC Bypass Converters
IEEE. 2021: 231-236
View details for Web of Science ID 000702263300037
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Offline multiobjective optimization for fast charging and reduced degradation in lithium ion battery cells
IEEE. 2021: 4441-4446
View details for Web of Science ID 000702263304084
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Pushing the Eenvelope in Battery Estimation Algorithms.
iScience
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
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Stochastic capacity loss and remaining useful life models for lithium-ion batteries in plug-in hybrid electric vehicles
JOURNAL OF POWER SOURCES
2020; 478
View details for DOI 10.1016/j.jpowsour.2020.228991
View details for Web of Science ID 000589931500002
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Aging-Aware Optimal Energy Management Control for a Parallel Hybrid Vehicle Based on Electrochemical-Degradation Dynamics
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
2020; 69 (10): 10868–78
View details for DOI 10.1109/TVT.2020.3019241
View details for Web of Science ID 000583767600031
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Hierarchical Coordination of Two-Time Scale Microgrids With Supply-Demand Imbalance
IEEE TRANSACTIONS ON SMART GRID
2020; 11 (5): 3726–36
View details for DOI 10.1109/TSG.2020.2980873
View details for Web of Science ID 000562305000006
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Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures
IEEE INDUSTRIAL ELECTRONICS MAGAZINE
2020; 14 (3): 65–91
View details for DOI 10.1109/MIE.2020.2964814
View details for Web of Science ID 000573778100007
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A Data-Driven Multiscale Framework to Estimate Effective Properties of Lithium-Ion Batteries from Microstructure Images
TRANSPORT IN POROUS MEDIA
2020; 134 (1): 173–94
View details for DOI 10.1007/s11242-020-01441-w
View details for Web of Science ID 000546831400001
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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
2020; 142 (6)
View details for DOI 10.1115/1.4046151
View details for Web of Science ID 000528817700009
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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
2020; 142 (5)
View details for DOI 10.1115/1.4046152
View details for Web of Science ID 000522102300002
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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
2020; 28 (2): 635–43
View details for DOI 10.1109/TCST.2018.2878810
View details for Web of Science ID 000519734800032
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A comparative analysis of dynamic evaporator models for organic Rankine cycle waste heat recovery systems
APPLIED THERMAL ENGINEERING
2020; 165
View details for DOI 10.1016/j.applthermaleng.2019.114576
View details for Web of Science ID 000503314300009
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Modeling the thermal and soot oxidation dynamics inside a ceria-coated gasoline particulate filter
CONTROL ENGINEERING PRACTICE
2020; 94
View details for DOI 10.1016/j.conengprac.2019.104199
View details for Web of Science ID 000501413900004
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Online Capacity Estimation for Lithium-Ion Battery Cells via an Electrochemical Model-Based Adaptive Interconnected Observer
IEEE Transactions on Control Systems Technology
2020: 16
View details for DOI 10.1109/TCST.2020.3017566
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Offline Multiobjective Optimization for Fast Charging and Reduced Degradation in Lithium-ion Battery Cells using Electrochemical Dynamics
IEEE Control Systems Letters
2020
View details for DOI 10.1109/LCSYS.2020.3046378
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A Novel Lithium-ion Battery Pack Modeling Framework - Series-Connected Case Study
IEEE. 2020: 365–72
View details for Web of Science ID 000618079800053
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Time-Optimal Coordination Control for the Gear-Shifting Process in Electric-Driven Mechanical Transmission (Dog Clutch) without Impacts
SAE INTERNATIONAL JOURNAL OF ELECTRIFIED VEHICLES
2020; 9 (2): 155–68
View details for DOI 10.4271/14-09-02-0010
View details for Web of Science ID 000623637900005
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Coordinated Energy Dispatch of Autonomous Microgrids With Distributed MPC Optimization
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
2019; 15 (9): 5289–98
View details for DOI 10.1109/TII.2019.2899885
View details for Web of Science ID 000489584600042
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A comprehensive review of organic rankine cycle waste heat recovery systems in heavy-duty diesel engine applications
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
2019; 107: 145–70
View details for DOI 10.1016/j.rser.2019.03.012
View details for Web of Science ID 000463342600011
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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
2019; 166 (8): A1380–A1392
View details for DOI 10.1149/2.0051908jes
View details for Web of Science ID 000466265000001
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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
2019; 5 (1): 239–51
View details for DOI 10.1109/TTE.2018.2869038
View details for Web of Science ID 000462379200020
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A switched and scheduled design for model recovery anti-windup of linear plants
EUROPEAN JOURNAL OF CONTROL
2019; 46: 23–35
View details for DOI 10.1016/j.ejcon.2018.04.002
View details for Web of Science ID 000461411500003
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A Novel Model-Based Estimation Scheme for Battery-Double-Layer Capacitor Hybrid Energy Storage Systems
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
2019; 27 (2): 689–702
View details for DOI 10.1109/TCST.2017.2781650
View details for Web of Science ID 000457619300019
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Aging characterization and modeling of nickel-manganese-cobalt lithium-ion batteries for 48V mild hybrid electric vehicle applications
JOURNAL OF ENERGY STORAGE
2019; 21: 519–27
View details for DOI 10.1016/j.est.2018.11.016
View details for Web of Science ID 000459203100047
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Process noise quantification in Kalman filters with application to electrochemical Lithium-ion battery state estimation
IEEE. 2019: 1995–2000
View details for Web of Science ID 000500998700302
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EXPERIMENTAL INVESTIGATION OF SOOT ACCUMULATION AND REGENERATION IN A CATALYZED GASOLINE PARTICULATE FILTER UTILIZING PARTICULATE QUANTIFICATION AND GAS SPECIATION MEASUREMENTS
AMER SOC MECHANICAL ENGINEERS. 2019
View details for Web of Science ID 000484084600002
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DESIGN AND EXPERIMENTAL VALIDATION OF A SPATIALLY DISCRETIZED, CONTROL-ORIENTED TEMPERATURE MODEL FOR A CERIA-WASHCOATED GASOLINE PARTICULATE FILTER
AMER SOC MECHANICAL ENGINEERS. 2019
View details for Web of Science ID 000484084600004
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Exploring the dependence of cell aging dynamics on thermal gradient in battery modules: A PDE-based time scale separation approach
IEEE. 2019: 2380–85
View details for Web of Science ID 000490488302066
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An Economic Nonlinear Model Predictive Control Strategy for SI Engines: Model-Based Design and Real-Time Experimental Validation
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
2019; 27 (1): 296–310
View details for DOI 10.1109/TCST.2017.2769660
View details for Web of Science ID 000452618900022
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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
2018; 65 (9): 7311–21
View details for DOI 10.1109/TIE.2018.2793194
View details for Web of Science ID 000431397500047
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Combined Battery Design Optimization and Energy Management of a Series Hybrid Military Truck
SAE INTERNATIONAL JOURNAL OF ALTERNATIVE POWERTRAINS
2018; 7 (2): 155–67
View details for DOI 10.4271/08-07-02-0010
View details for Web of Science ID 000456047200005
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What if the Doyle-Fuller-Newman model fails? A new macroscale modeling framework
IEEE. 2018: 5702–7
View details for Web of Science ID 000458114805044
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Design and experimental validation of a physics-based oxygen storage — thermal model for three way catalyst including aging
Control Engineering Practice
2017; 68: 89-101
View details for DOI 10.1016/j.conengprac.2017.07.007
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Modeling the Thermal Dynamics inside a Ceria-Coated Gasoline Particulate Filter
IEEE. 2017: 99–105
View details for Web of Science ID 000426981500017
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Multi-channel physics-based modeling and experimental validation of an uncoated gasoline particulate filter in clean operating conditions
IEEE. 2017: 5392–97
View details for Web of Science ID 000427033305075
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Nonlinear Model Predictive Air Path Control for Turbocharged SI Engines with Low Pressure EGR and a Continuous Surge Valve
IEEE. 2017: 4741–46
View details for Web of Science ID 000427033304131
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Reduced Order Model Design for Three Way Catalytic Converter Temperature Dynamics
IEEE. 2017: 886–91
View details for Web of Science ID 000426981500141
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Development and Experimental Validation of a Dual Extended Kalman Filter for Three Way Catalytic Converter
IEEE. 2017: 5386–91
View details for Web of Science ID 000427033305074
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Continuum scale modeling of Exhaust Gas Transport in Gasoline Particulate Filters: an applicability regime approach
IEEE. 2017: 5398–5403
View details for Web of Science ID 000427033305076
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Multiscale Modeling Approach to determine Effective Lithium-Ion Transport Properties
IEEE. 2017: 92–97
View details for Web of Science ID 000427033300014
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Transient Power Optimization of an Organic Rankine Cycle Waste Heat Recovery System for Heavy-Duty Diesel Engine Applications
SAE International Journal of Alternative Powertrains
2017; 6 (1)
View details for DOI 10.4271/2017-01-0133
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Transient dynamic modeling and validation of an organic Rankine cycle waste heat recovery system for heavy duty diesel engine applications
Applied Energy
2017; 205: 260-279
View details for DOI 10.1016/j.apenergy.2017.07.038
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Model Predictive Control of an Organic Rankine Cycle System
Energy Procedia
2017; 129: 184-191
View details for DOI 10.1016/j.egypro.2017.09.109
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Determining Three-Way Catalyst Age Using Differential Lambda Signal Response
SAE International Journal of Engines
2017; 10 (3)
View details for DOI 10.4271/2017-01-0982
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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
2017
View details for DOI 10.1109/TVT.2017.2717187
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Estimation and Predictive Control of a Parallel Evaporator Diesel Engine Waste Heat Recovery System
IEEE Transactions on Control Systems Technology
2017
View details for DOI 10.1109/TCST.2017.2759104
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Electrochemical Model-Based State of Charge and Capacity Estimation for a Composite Electrode Lithium-Ion Battery
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
2016; 24 (2): 384-399
View details for DOI 10.1109/TCST.2015.2446947
View details for Web of Science ID 000372002500002
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A control-oriented cycle-life model for hybrid electric vehicle lithium ion batteries
ENERGY
2016; 96: 644-653
View details for DOI 10.1016/j.energy.2015.11.075
View details for Web of Science ID 000370886700058
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Energy Management Design in Hybrid Electric Vehicles: A Novel Optimality and Stability Framework
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
2015; 23 (4): 1292-1307
View details for DOI 10.1109/TCST.2014.2363617
View details for Web of Science ID 000356523600005
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Adaptive Pontryagin's Minimum Principle supervisory controller design for the plug-in hybrid GM Chevrolet Volt
APPLIED ENERGY
2015; 147: 224-234
View details for DOI 10.1016/j.apenergy.2015.01.021
View details for Web of Science ID 000353755000020
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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
2015; 279: 791-808
View details for DOI 10.1016/j.jpowsour.2014.12.048
View details for Web of Science ID 000350919600090
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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
2015; 278: 473-483
View details for DOI 10.1016/j.jpowsour.2014.12.047
View details for Web of Science ID 000350181400058
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On Veracity of Macroscopic Lithium-Ion Battery Models
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
2015; 162 (10): A1940-A1951
View details for DOI 10.1149/2.0771509jes
View details for Web of Science ID 000361501800002
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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
2015; 70 (1): 41-54
View details for DOI 10.2516/ogst/2014006
View details for Web of Science ID 000351444400004
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Cloud-Based Velocity Profile Optimization for Everyday Driving: A Dynamic-Programming-Based Solution
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
2014; 15 (6): 2491-2505
View details for DOI 10.1109/TITS.2014.2319812
View details for Web of Science ID 000345572900012
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Insight into the HEV/PHEV optimal control solution based on a new tuning method
CONTROL ENGINEERING PRACTICE
2014; 29: 247-256
View details for DOI 10.1016/j.conengprac.2014.01.022
View details for Web of Science ID 000339133700022
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A control benchmark on the energy management of a plug-in hybrid electric vehicle
CONTROL ENGINEERING PRACTICE
2014; 29: 287-298
View details for DOI 10.1016/j.conengprac.2013.11.020
View details for Web of Science ID 000339133700026
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An optimal regulation strategy with disturbance rejection for energy management of hybrid electric vehicles
AUTOMATICA
2014; 50 (1): 128-140
View details for DOI 10.1016/j.automatica.2013.11.006
View details for Web of Science ID 000331422000011
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Modeling and experimental validation of a Hybridized Energy Storage System for automotive applications
JOURNAL OF POWER SOURCES
2013; 241: 112-120
View details for DOI 10.1016/j.jpowsour.2013.04.017
View details for Web of Science ID 000323093700013
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Modelling and control of a brake system for an extended range electric vehicle equipped with axle motors
INTERNATIONAL JOURNAL OF VEHICLE DESIGN
2012; 58 (2-4): 399-426
View details for DOI 10.1504/IJVD.2012.047387
View details for Web of Science ID 000307080300016
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A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
2011; 133 (3)
View details for DOI 10.1115/1.4003267
View details for Web of Science ID 000288807700012
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MODEL-BASED FAULT DIAGNOSIS FOR NIMH
PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE 2008, PTS A AND B
2009: 1349-1355
View details for Web of Science ID 000266709500171
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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
2009: 1317-1324
View details for Web of Science ID 000266709500167
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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
2009: 1301-1308
View details for Web of Science ID 000266709500165
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ECMS as a realization of Pontryagin's minimum principle for HEV control
2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9
2009: 3964-3969
View details for Web of Science ID 000270044901325
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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
2007: 4191-4196
View details for Web of Science ID 000255181702084
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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
2006: 6376-6376
View details for Web of Science ID 000252251605062
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Finite Time Stability design via feedback linearization
2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8
2005: 4915-4920
View details for Web of Science ID 000240653704126
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Multi-channel physics-based modeling and experimental validation of an uncoated Gasoline Particulate Filter in clean operating conditions
American Control Conference 2017
2017: 5392–5539
View details for DOI 10.23919/ACC.2017.7963793
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Multiscale modeling approach to determine effective lithium-ion transport properties
American Control Conference 2017
2017: 92–97
View details for DOI 10.23919/ACC.2017.7962936
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Development and experimental validation of a Dual Extended Kalman Filter for three way catalytic converter
American Control Conference 2017
2017: 5386–91
View details for DOI 10.23919/ACC.2017.7963792
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Nonlinear model predictive air path control for turbocharged SI engines with low pressure EGR and a continuous surge valve
American Control Conference 2017
2017: 4741–46
View details for DOI 10.23919/ACC.2017.7963688