1-20 of 67
Corporate average fuel economy
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Adaptive Equivalent Factors of Multi-Objective Energy Management for Fuel Cell Hybrid Electric Vehicles

Yan Ma, Jian Chen, Junmin Wang
Proc. ASME. DSCC2020, Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions, V001T19A002, October 5–7, 2020
Paper No: DSCC2020-3145
https://doi.org/10.1115/DSCC2020-3145
View Paper titled, Adaptive Equivalent Factors of Multi-Objective Energy Management for Fuel Cell Hybrid Electric Vehicles
Open the PDF for Adaptive Equivalent Factors of Multi-Objective Energy Management for Fuel Cell Hybrid Electric Vehicles in another window
Topics: Energy management, Fuel cells, Hybrid electric vehicles, Corporate average fuel economy, Durability, Fuel efficiency, Cycles, Hydrogen, Kalman filters, Pareto optimization
Proceedings Papers

Benchmarking Fuel Economy of Connected and Automated Vehicles in Real World Driving Conditions via Monte Carlo Simulation

Shreshta Rajakumar Deshpande, Shobhit Gupta, Dennis Kibalama, Nicola Pivaro, Marcello Canova
Proc. ASME. DSCC2020, Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions, V001T10A004, October 5–7, 2020
Paper No: DSCC2020-3250
https://doi.org/10.1115/DSCC2020-3250
View Paper titled, Benchmarking Fuel Economy of Connected and Automated Vehicles in Real World Driving Conditions via Monte Carlo Simulation
Open the PDF for Benchmarking Fuel Economy of Connected and Automated Vehicles in Real World Driving Conditions via Monte Carlo Simulation in another window
Topics: Autonomous vehicles, Corporate average fuel economy, Fuel efficiency, Simulation, Vehicles, Traffic, Algorithms, Cities, Electrical discharge machining, Energy efficiency
Proceedings Papers

Inverse Reinforcement Learning Based Driver Behavior Analysis and Fuel Economy Assessment

Mehmet Fatih Ozkan, Yao Ma
Proc. ASME. DSCC2020, Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions, V001T02A003, October 5–7, 2020
Paper No: DSCC2020-3122
https://doi.org/10.1115/DSCC2020-3122
View Paper titled, Inverse Reinforcement Learning Based Driver Behavior Analysis and Fuel Economy Assessment
Open the PDF for Inverse Reinforcement Learning Based Driver Behavior Analysis and Fuel Economy Assessment in another window
Topics: Corporate average fuel economy, Fuel consumption, Fuel efficiency, Reinforcement learning, Trajectories (Physics), Vehicles
Proceedings Papers

Influence of Speed Forecasting on the Performance of Ecological Adaptive Cruise Control

Eunjeong Hyeon, Youngki Kim, Niket Prakash, Anna G. Stefanopoulou
Proc. ASME. DSCC2019, Volume 1: Advanced Driver Assistance and Autonomous Technologies; Advances in Control Design Methods; Advances in Robotics; Automotive Systems; Design, Modeling, Analysis, and Control of Assistive and Rehabilitation Devices; Diagnostics and Detection; Dynamics and Control of Human-Robot Systems; Energy Optimization for Intelligent Vehicle Systems; Estimation and Identification; Manufacturing, V001T08A003, October 8–11, 2019
Paper No: DSCC2019-9046
https://doi.org/10.1115/DSCC2019-9046
View Paper titled, Influence of Speed Forecasting on the Performance of Ecological Adaptive Cruise Control
Open the PDF for Influence of Speed Forecasting on the Performance of Ecological Adaptive Cruise Control in another window
Topics: Cities, Connected vehicles, Corporate average fuel economy, Flow (Dynamics), Fuel efficiency, Predictive control, Traffic, Vehicles
Proceedings Papers

A Numerical Study of an Electrically Assisted Boosting System for Turbocharged Diesel Engines

Yifan Men, Jason B. Martz, Eric Curtis, Guoming G. Zhu
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, V002T12A003, October 8–11, 2019
Paper No: DSCC2019-9039
https://doi.org/10.1115/DSCC2019-9039
View Paper titled, A Numerical Study of an Electrically Assisted Boosting System for Turbocharged Diesel Engines
Open the PDF for A Numerical Study of an Electrically Assisted Boosting System for Turbocharged Diesel Engines in another window
Topics: Diesel engines, Engines, Torque, Transients (Dynamics), Turbochargers, Corporate average fuel economy, Fuel efficiency, Turbines, Turbocharged engines, Emissions
Proceedings Papers

Control-Oriented Model-Based Burn Duration and Ignition Timing Prediction With Recursive-Least-Square Adaptation for Closed-Loop Combustion Phasing Control of a Spark Ignition Engine

Xin Wang, Amir Khameneian, Paul Dice, Bo Chen, Mahdi Shahbakhti, Jeffrey D. Naber, Chad Archer, Qiuping Qu, Chris Glugla, Garlan Huberts
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, V002T12A004, October 8–11, 2019
Paper No: DSCC2019-9073
https://doi.org/10.1115/DSCC2019-9073
View Paper titled, Control-Oriented Model-Based Burn Duration and Ignition Timing Prediction With Recursive-Least-Square Adaptation for Closed-Loop Combustion Phasing Control of a Spark Ignition Engine
Open the PDF for Control-Oriented Model-Based Burn Duration and Ignition Timing Prediction With Recursive-Least-Square Adaptation for Closed-Loop Combustion Phasing Control of a Spark Ignition Engine in another window
Topics: Combustion, Ignition, Spark-ignition engine, Engines, Algorithms, Errors, Cycles, Transients (Dynamics), Calibration, Fuels
Proceedings Papers

Combined Energy and Comfort Optimization of Air Conditioning System in Connected and Automated Vehicles

Hao Wang, Mohammad Reza Amini, Ziyou Song, Jing Sun, Ilya Kolmanovsky
Proc. ASME. DSCC2019, Volume 1: Advanced Driver Assistance and Autonomous Technologies; Advances in Control Design Methods; Advances in Robotics; Automotive Systems; Design, Modeling, Analysis, and Control of Assistive and Rehabilitation Devices; Diagnostics and Detection; Dynamics and Control of Human-Robot Systems; Energy Optimization for Intelligent Vehicle Systems; Estimation and Identification; Manufacturing, V001T08A001, October 8–11, 2019
Paper No: DSCC2019-8969
https://doi.org/10.1115/DSCC2019-8969
View Paper titled, Combined Energy and Comfort Optimization of Air Conditioning System in Connected and Automated Vehicles
Open the PDF for Combined Energy and Comfort Optimization of Air Conditioning System in Connected and Automated Vehicles in another window
Topics: Air conditioning, Optimization, Vehicles, Energy consumption, Simulation, Traffic, Automotive industry, Control equipment, Corporate average fuel economy, Cycles
Proceedings Papers

Analyzing the Effects of Geometric Lane Constraints on RADAR-Based Sensing of Available Vehicle Headway Using Mapped Lane Geometry and Camera Registration of Lane Position

Krishna Varadarajan, Robert Leary, Evan Pelletier, Mohamed Wahba, Sean Brennan
Proc. ASME. DSCC2019, Volume 1: Advanced Driver Assistance and Autonomous Technologies; Advances in Control Design Methods; Advances in Robotics; Automotive Systems; Design, Modeling, Analysis, and Control of Assistive and Rehabilitation Devices; Diagnostics and Detection; Dynamics and Control of Human-Robot Systems; Energy Optimization for Intelligent Vehicle Systems; Estimation and Identification; Manufacturing, V001T01A006, October 8–11, 2019
Paper No: DSCC2019-9167
https://doi.org/10.1115/DSCC2019-9167
View Paper titled, Analyzing the Effects of Geometric Lane Constraints on RADAR-Based Sensing of Available Vehicle Headway Using Mapped Lane Geometry and Camera Registration of Lane Position
Open the PDF for Analyzing the Effects of Geometric Lane Constraints on RADAR-Based Sensing of Available Vehicle Headway Using Mapped Lane Geometry and Camera Registration of Lane Position in another window
Topics: Geometry, Radar, Vehicles, Errors, Sensors, Highways, Traffic, Braking, Corporate average fuel economy, Emergencies
Proceedings Papers

Battery Discharge Strategies for Energy Management in Electrified Truck for Pickup and Delivery Application

Mukilan T. Arasu, Qadeer Ahmed, Giorgio Rizzoni
Proc. ASME. DSCC2018, Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare, V001T09A004, September 30–October 3, 2018
Paper No: DSCC2018-9116
https://doi.org/10.1115/DSCC2018-9116
View Paper titled, Battery Discharge Strategies for Energy Management in Electrified Truck for Pickup and Delivery Application
Open the PDF for Battery Discharge Strategies for Energy Management in Electrified Truck for Pickup and Delivery Application in another window
Topics: Batteries, Energy management, Trucks, Fuel consumption, Corporate average fuel economy, Cycles, Electric vehicles, Energy consumption, Fuel efficiency, Fuels
Proceedings Papers

Utilization of ADAS for Improving Idle Stop-and-Go Control

Kwangwoo Jeong, Hoon Lee, Jaihyun Lee, Sanghoon Yoo, Byungho Lee, Sejun Kim
Proc. ASME. DSCC2018, Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare, V001T10A001, September 30–October 3, 2018
Paper No: DSCC2018-8931
https://doi.org/10.1115/DSCC2018-8931
View Paper titled, Utilization of ADAS for Improving Idle Stop-and-Go Control
Open the PDF for Utilization of ADAS for Improving Idle Stop-and-Go Control in another window
Topics: Brakes, Control algorithms, Corporate average fuel economy, Delays, Engineering prototypes, Engines, Fuel consumption, Fuel efficiency, Fuels, Regulations
Proceedings Papers

An Optimization-Oriented Supervisory Controller Design for Hybrid Fuel Cell Electrified Vehicles

Kai Wu, Milos Milacic, Alhadi Albousefi, Ming Kuang, Jing Sun
Proc. ASME. DSCC2018, Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare, V001T09A003, September 30–October 3, 2018
Paper No: DSCC2018-8995
https://doi.org/10.1115/DSCC2018-8995
View Paper titled, An Optimization-Oriented Supervisory Controller Design for Hybrid Fuel Cell Electrified Vehicles
Open the PDF for An Optimization-Oriented Supervisory Controller Design for Hybrid Fuel Cell Electrified Vehicles in another window
Topics: Control equipment, Design, Fuel cells, Optimization, Vehicles, Corporate average fuel economy, Energy management, Fuel efficiency, Algorithms, Cities
Proceedings Papers

Energy Availability Study for a Regenerative Hydraulically Assisted Turbocharger

Tao Zeng, Yifan Men, Devesh Upadhyay, Guoming Zhu
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, V002T27A006, September 30–October 3, 2018
Paper No: DSCC2018-9134
https://doi.org/10.1115/DSCC2018-9134
View Paper titled, Energy Availability Study for a Regenerative Hydraulically Assisted Turbocharger
Open the PDF for Energy Availability Study for a Regenerative Hydraulically Assisted Turbocharger in another window
Topics: Turbochargers, Engines, Corporate average fuel economy, Diesel engines, Energy recovery, Exhaust systems, Fuel efficiency, Transients (Dynamics), Vehicles, Braking
Proceedings Papers

Computationally-Efficient Fuel-Economic High-Level Controller Design for a Group of Connected Vehicles in Urban Roads

Alejandro Fernandez Canosa, Baisravan HomChaudhuri
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, V002T15A002, September 30–October 3, 2018
Paper No: DSCC2018-9124
https://doi.org/10.1115/DSCC2018-9124
View Paper titled, Computationally-Efficient Fuel-Economic High-Level Controller Design for a Group of Connected Vehicles in Urban Roads
Open the PDF for Computationally-Efficient Fuel-Economic High-Level Controller Design for a Group of Connected Vehicles in Urban Roads in another window
Topics: Cities, Connected vehicles, Control equipment, Design, Fuels, Roads, Vehicles, Corporate average fuel economy, Fuel efficiency, Boundary-value problems
Proceedings Papers

Control and Design Optimization of a Novel Hybrid Electric Powertrain System

Chenyu Yi, Bogdan Epureanu
Proc. ASME. DSCC2017, Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications, V002T17A007, October 11–13, 2017
Paper No: DSCC2017-5200
https://doi.org/10.1115/DSCC2017-5200
View Paper titled, Control and Design Optimization of a Novel Hybrid Electric Powertrain System
Open the PDF for Control and Design Optimization of a Novel Hybrid Electric Powertrain System in another window
Topics: Design, Optimization, Batteries, Corporate average fuel economy, Fuel efficiency, Machinery, Architecture, Highways, Physics, Quadratic programming
Proceedings Papers

Estimation of Remaining Useful Life of an Intake Air Filter in an Automotive Engine

Hassene Jammoussi, Fakhreddine Landolsi, Imad Makki
Proc. ASME. DSCC2017, Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications, V002T19A003, October 11–13, 2017
Paper No: DSCC2017-5294
https://doi.org/10.1115/DSCC2017-5294
View Paper titled, Estimation of Remaining Useful Life of an Intake Air Filter in an Automotive Engine
Open the PDF for Estimation of Remaining Useful Life of an Intake Air Filter in an Automotive Engine in another window
Topics: Air filters, Automotive engines, Service life (Equipment), Filters, Maintenance, Statistics, Vehicles, Corporate average fuel economy, Engines, Failure
Proceedings Papers

A New Powertrain Design Approach for Power-Split Hybrid Tracked Vehicles

Zhaobo Qin, Yugong Luo, Keqiang Li, Huei Peng
Proc. ASME. DSCC2017, Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications, V002T17A002, October 11–13, 2017
Paper No: DSCC2017-5069
https://doi.org/10.1115/DSCC2017-5069
View Paper titled, A New Powertrain Design Approach for Power-Split Hybrid Tracked Vehicles
Open the PDF for A New Powertrain Design Approach for Power-Split Hybrid Tracked Vehicles in another window
Topics: Design, Tracked vehicles, Planetary gears, Computation, Corporate average fuel economy, Dynamic modeling, Fuel efficiency, Hybrid electric vehicles, Stress
Proceedings Papers

Model Predictive Control of a Lean-Burn Gasoline Engine Coupled With a Passive Selective Catalytic Reduction System

Qinghua Lin, Pingen Chen, Vitaly Y. Prikhodko
Proc. ASME. DSCC2017, Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems, V003T34A006, October 11–13, 2017
Paper No: DSCC2017-5348
https://doi.org/10.1115/DSCC2017-5348
View Paper titled, Model Predictive Control of a Lean-Burn Gasoline Engine Coupled With a Passive Selective Catalytic Reduction System
Open the PDF for Model Predictive Control of a Lean-Burn Gasoline Engine Coupled With a Passive Selective Catalytic Reduction System in another window
Topics: Gasoline engines, Predictive control, Selective catalytic reduction, Emissions, Engines, Fuels, Nitrogen oxides, Cycles, Air pollution control, Catalysts
Proceedings Papers

Engine Calibration Using “Eigenvariables”

Yiran Hu, Ibrahim Haskara, Chen-Fang Chang, Kaveh Khodadadi Sadabadi, Ayyoub Rezaeian, Shawn Midlam-Mohler
Proc. ASME. DSCC2017, Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems, V003T34A001, October 11–13, 2017
Paper No: DSCC2017-5093
https://doi.org/10.1115/DSCC2017-5093
View Paper titled, Engine Calibration Using “Eigenvariables”
Open the PDF for Engine Calibration Using “Eigenvariables” in another window
Topics: Calibration, Engines, Dynamometers, Combustion, Actuators, Automotive design, Combustion systems, Control systems, Corporate average fuel economy, Cylinders
Proceedings Papers

Analysis of Effects of Fuel Cell System Dynamics on Optimal Energy Management

Kai Wu, Ming Kuang, Milos Milacic, Xiaowu Zhang, Jing Sun
Proc. ASME. DSCC2017, Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems, V003T43A001, October 11–13, 2017
Paper No: DSCC2017-5139
https://doi.org/10.1115/DSCC2017-5139
View Paper titled, Analysis of Effects of Fuel Cell System Dynamics on Optimal Energy Management
Open the PDF for Analysis of Effects of Fuel Cell System Dynamics on Optimal Energy Management in another window
Topics: Energy management, Fuel cells, System dynamics, Dynamics (Mechanics), Corporate average fuel economy, Fuel efficiency, Proton exchange membrane fuel cells, Stress, Batteries, Cycles
Proceedings Papers

Air-Fuel Ratio Control of Lean-Burn SI Engines Using Fuzzy Sliding-Model Technique

Hsiu-Ming Wu, Reza Tafreshi
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, V001T09A004, October 11–13, 2017
Paper No: DSCC2017-5162
https://doi.org/10.1115/DSCC2017-5162
View Paper titled, Air-Fuel Ratio Control of Lean-Burn SI Engines Using Fuzzy Sliding-Model Technique
Open the PDF for Air-Fuel Ratio Control of Lean-Burn SI Engines Using Fuzzy Sliding-Model Technique in another window
Topics: Fuels, Spark-ignition engine, Engines, Carbon dioxide, Corporate average fuel economy, Delays, Design, Emissions, Fuel efficiency, Fuzzy logic