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Proceedings Papers

Model Based Diagnostics for Vehicle Systems

Pierluigi Pisu, Giorgio Rizzoni, Ahmed Soliman, Sanket Amberkar, Brian Murray, Laci Jalics

Proc. ASME. IMECE2000, Dynamic Systems and Control: Volume 1, 543-550, November 5–10, 2000

Paper No: IMECE2000-2346

DOI: https://doi.org/10.1115/IMECE2000-2346

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Topics: Vehicles, Flaw detection, Control equipment, Control systems, Design, Fault diagnosis, Reliability, Safety

Proceedings Papers

Behavior Identification and Prediction for a Probabilistic Risk Framework

Jasprit S. Gill, Pierluigi Pisu, Venkat N. Krovi, Matthias J. Schmid

Proc. ASME. DSCC2019, Volume 2: Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control, V002T25A004, October 8–11, 2019

Paper No: DSCC2019-9097

DOI: https://doi.org/10.1115/DSCC2019-9097

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Topics: Risk, Traffic, Vehicles, Navigation, Safety, Simulation results, System architecture, Trajectories (Physics)

Proceedings Papers

Inter-Area Oscillation Damping in Large-Scale Power Systems Using Decentralized Control

Roghieh A. Biroon, Pierluigi Pisu, David Schoenwald

Proc. ASME. DSCC2018, Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems, V002T19A005, September 30–October 3, 2018

Paper No: DSCC2018-9119

DOI: https://doi.org/10.1115/DSCC2018-9119

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Topics: Damping, Oscillations, Power systems (Machinery), Control equipment, Design, Signals, Stability

Journal Articles

A Control Oriented Perspective for Security in Connected and Automated Vehicles

Pierluigi Pisu, Jim Martin, Zoleikha Abdollahi Biron

Mechanical Engineering. December 2017, 139(12): S17–S20.

Paper No: ME-17-DEC10

DOI: https://doi.org/10.1115/1.2017-Dec-10

Published Online: December 1, 2017

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Topics: Connected vehicles, Security, Vehicles, Safety

Proceedings Papers

A Receding Horizon Switching Control Resilient to Communication Failures for Connected Vehicles

Gianluca Savaia, Zoleikha Abdollahi Biron, Pierluigi Pisu

Proc. ASME. DSCC2017, Volume 1: Aerospace Applications; Advances in Control Design Methods; Bio Engineering Applications; Advances in Non-Linear Control; Adaptive and Intelligent Systems Control; Advances in Wind Energy Systems; Advances in Robotics; Assistive and Rehabilitation Robotics; Biomedical and Neural Systems Modeling, Diagnostics, and Control; Bio-Mechatronics and Physical Human Robot; Advanced Driver Assistance Systems and Autonomous Vehicles; Automotive Systems, V001T45A009, October 11–13, 2017

Paper No: DSCC2017-5195

DOI: https://doi.org/10.1115/DSCC2017-5195

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Topics: Connected vehicles, Failure, Control equipment, Control systems, Delays, Optimal control, Optimization, Predictive control

Proceedings Papers

Nonlinear Parameter Estimation in a Typical Industrial Air Handler Unit

Lujia Feng, Pierluigi Pisu, Laine Mears, Jörg Schulte

Proc. ASME. MSEC2017, Volume 4: Bio and Sustainable Manufacturing, V004T05A033, June 4–8, 2017

Paper No: MSEC2017-2994

DOI: https://doi.org/10.1115/MSEC2017-2994

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Topics: Parameter estimation, Design, HVAC equipment, Manufacturing, Modeling, Air conditioning, Assembly lines, Commercial construction, Control equipment, Control systems

Proceedings Papers

Hierarchical Energy Management Control of Connected Hybrid Electric Vehicles on Urban Roads With Efficiencies Feedback

Zhiyuan Du, Lihong Qiu, Pierluigi Pisu

Proc. ASME. DSCC2016, Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation, V001T16A002, October 12–14, 2016

Paper No: DSCC2016-9641

DOI: https://doi.org/10.1115/DSCC2016-9641

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Topics: Cities, Energy management, Feedback, Hybrid electric vehicles, Roads, Control equipment, Fuels, Signals, Traffic, Vehicles

Proceedings Papers

Sensor Fault Diagnosis of Connected Vehicles Under Imperfect Communication Network

Zoleikha Abdollahi Biron, Satadru Dey, Pierluigi Pisu

Paper No: DSCC2016-9822

DOI: https://doi.org/10.1115/DSCC2016-9822

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Topics: Connected vehicles, Fault diagnosis, Sensors, Vehicles, Algorithms, Design, Reliability, Safety, Simulation, Sustainability

Proceedings Papers

Estimation of Lithium-Ion Concentrations in Both Electrodes of a Lithium-Ion Battery Cell

Satadru Dey, Beshah Ayalew, Pierluigi Pisu

Proc. ASME. DSCC2015, Volume 2: Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications, V002T26A001, October 28–30, 2015

Paper No: DSCC2015-9693

DOI: https://doi.org/10.1115/DSCC2015-9693

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Topics: Electrodes, Lithium, Lithium-ion batteries, Scanning probe microscopy, Particulate matter, Algebra, Approximation, Batteries, Dynamics (Mechanics), Kalman filters

Proceedings Papers

Investigation of Torque Security Problems in Electrified Vehicles

Jiyu Zhang, Alessandro Amodio, Bilin Aksun Guvenc, Giorgio Rizzoni, Pierluigi Pisu

Proc. ASME. DSCC2015, Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems, V001T10A001, October 28–30, 2015

Paper No: DSCC2015-9627

DOI: https://doi.org/10.1115/DSCC2015-9627

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Topics: Security, Torque, Vehicles, Electric vehicles, Safety, Accidents, Automobiles, Failure mechanisms, Failure mode and effects analysis, Hazards

Proceedings Papers

Fuel Efficient Control Strategies for Connected Hybrid Electric Vehicles in Urban Roads

Runing Lin, Baisravan HomChaudhuri, Pierluigi Pisu

Paper No: DSCC2015-9800

DOI: https://doi.org/10.1115/DSCC2015-9800

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Topics: Cities, Fuels, Hybrid electric vehicles, Roads, Control equipment, Vehicles, Computer software, Predictive control, Simulation results, Transportation systems

Proceedings Papers

Observer-Based Diagnostic Scheme for Lithium-Ion Batteries

Zoleikha Abdollahi Biron, Pierluigi Pisu, Beshah Ayalew

Paper No: DSCC2015-9913

DOI: https://doi.org/10.1115/DSCC2015-9913

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Topics: Lithium-ion batteries, Actuators, Batteries, Sensors, Dynamics (Mechanics), Failure, Fault diagnosis, Kalman filters, Simulation results, Temperature

Proceedings Papers

A Hardware-in-the-Loop Platform for a Series Hybrid Powertrain Featuring Two Equivalent Consumption Minimization Strategies

Sara Mohon, Satadru Dey, Beshah Ayalew, Pierluigi Pisu

Proc. ASME. IDETC-CIE2014, Volume 3: 16th International Conference on Advanced Vehicle Technologies; 11th International Conference on Design Education; 7th Frontiers in Biomedical Devices, V003T01A008, August 17–20, 2014

Paper No: DETC2014-35310

DOI: https://doi.org/10.1115/DETC2014-35310

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Topics: Hardware, Energy management, Batteries, Energy storage, Engineering prototypes, Gasoline, Generators, Lead-acid batteries, Real-time control, Shaft angle encoders

Proceedings Papers

PEM Fuel Cell Flooding Diagnostics Based on an Unscented Kalman Filter Approach

Xian Zhang, Pierluigi Pisu

Proc. ASME. DSCC2014, Volume 1: Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems, V001T19A001, October 22–24, 2014

Paper No: DSCC2014-6158

DOI: https://doi.org/10.1115/DSCC2014-6158

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Topics: Floods, Kalman filters, Proton exchange membrane fuel cells, Design, Fuel cells, Gas diffusion layers, Parameter estimation, Simulation results, Water

Proceedings Papers

Adaptive Observer Design for a Li-Ion Cell Based on Coupled Electrochemical-Thermal Model

Satadru Dey, Beshah Ayalew, Pierluigi Pisu

Proc. ASME. DSCC2014, Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing, V002T23A001, October 22–24, 2014

Paper No: DSCC2014-5986

DOI: https://doi.org/10.1115/DSCC2014-5986

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Topics: Design, Batteries, Circuits, Dynamics (Mechanics), Simulation, Stability, Temperature

Journal Articles

Sliding Mode Observer and State-Machine-Based Fault Diagnosis With Application in a Vehicle Chassis Steering System

Xian Zhang, Pierluigi Pisu

J. Dyn. Sys., Meas., Control. July 2014, 136(4): 041026.

Paper No: DS-11-1281

DOI: https://doi.org/10.1115/1.4026956

Published Online: May 8, 2014

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Topics: Design, Generators, Machinery, Vehicles, Sensors, Simulation, Actuators, Steering systems, Simulation results, Fault diagnosis

Proceedings Papers

Development of an Electric Vehicle Hardware-in-the-Loop Emulation Platform

Sara Mohon, Arun Venkitakrishnan, Beshah Ayalew, Pierluigi Pisu

Proc. ASME. IDETC-CIE2013, Volume 1: 15th International Conference on Advanced Vehicle Technologies; 10th International Conference on Design Education; 7th International Conference on Micro- and Nanosystems, V001T01A002, August 4–7, 2013

Paper No: DETC2013-12263

DOI: https://doi.org/10.1115/DETC2013-12263

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Topics: Electric vehicles, Hardware, Motors, Simulation, Vehicles, Batteries, Control algorithms, Control equipment, Cycles, Data acquisition systems

Proceedings Papers

Discrete-Event Sensor Fault Isolation With Application to an Electro-Mechanical Break System

Pierluigi Pisu, Giorgio Rizzoni

Proc. ASME. IMECE2002, Dynamic Systems and Control, 155-164, November 17–22, 2002

Paper No: IMECE2002-39326

DOI: https://doi.org/10.1115/IMECE2002-39326

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Topics: Sensors, Flaw detection, Algorithms, Brakes, Control systems, Design, Fault diagnosis, Modeling, Robots, Vehicles

Proceedings Papers

Supervisory Robust Control of Hybrid Electric Vehicles

Pierluigi Pisu, Giorgio Rizzoni, Enrico Silani

Proc. ASME. IMECE2003, Dynamic Systems and Control, Volumes 1 and 2, 245-254, November 15–21, 2003

Paper No: IMECE2003-42508

DOI: https://doi.org/10.1115/IMECE2003-42508

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Topics: Hybrid electric vehicles, Robust control, Control equipment, Fuel consumption, Torque, Automotive industry, Cities, Cycles, Design, Emissions

Proceedings Papers

Dynamic Modeling of a Hybrid Electric Drivetrain for Fuel Economy, Performance and Driveability Evaluations

Xi Wei, Pierluigi Pisu, Giorgio Rizzoni, Stephen Yurkovich

Proc. ASME. IMECE2003, Dynamic Systems and Control, Volumes 1 and 2, 443-450, November 15–21, 2003

Paper No: IMECE2003-42548

DOI: https://doi.org/10.1115/IMECE2003-42548

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Topics: Corporate average fuel economy, Dynamic modeling, Fuel efficiency, Algorithms, Brakes, Design, Dynamic models, Engines, Hybrid electric vehicles, Ignition

Journal citation

NARROW

Model Based Diagnostics for Vehicle Systems

Behavior Identification and Prediction for a Probabilistic Risk Framework

Inter-Area Oscillation Damping in Large-Scale Power Systems Using Decentralized Control

A Control Oriented Perspective for Security in Connected and Automated Vehicles

A Receding Horizon Switching Control Resilient to Communication Failures for Connected Vehicles

Nonlinear Parameter Estimation in a Typical Industrial Air Handler Unit

Hierarchical Energy Management Control of Connected Hybrid Electric Vehicles on Urban Roads With Efficiencies Feedback

Sensor Fault Diagnosis of Connected Vehicles Under Imperfect Communication Network

Estimation of Lithium-Ion Concentrations in Both Electrodes of a Lithium-Ion Battery Cell

Investigation of Torque Security Problems in Electrified Vehicles

Fuel Efficient Control Strategies for Connected Hybrid Electric Vehicles in Urban Roads

Observer-Based Diagnostic Scheme for Lithium-Ion Batteries

A Hardware-in-the-Loop Platform for a Series Hybrid Powertrain Featuring Two Equivalent Consumption Minimization Strategies

PEM Fuel Cell Flooding Diagnostics Based on an Unscented Kalman Filter Approach

Adaptive Observer Design for a Li-Ion Cell Based on Coupled Electrochemical-Thermal Model

Sliding Mode Observer and State-Machine-Based Fault Diagnosis With Application in a Vehicle Chassis Steering System

Development of an Electric Vehicle Hardware-in-the-Loop Emulation Platform

Discrete-Event Sensor Fault Isolation With Application to an Electro-Mechanical Break System

Supervisory Robust Control of Hybrid Electric Vehicles

Dynamic Modeling of a Hybrid Electric Drivetrain for Fuel Economy, Performance and Driveability Evaluations

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