PHEV Control Strategy Optimization Using MATLAB Distributed Computing: From Pattern to Tuning
|
|
- Ilene Sharp
- 5 years ago
- Views:
Transcription
1 PHEV Control Strategy Optimization Using MATLAB Distributed Computing: From Pattern to Tuning MathWorks Automotive Conference 3 June, 2008 S. Pagerit, D. Karbowski, S. Bittner, A. Rousseau, P. Sharer Argonne National Laboratory Sponsored by Lee Slezak, U.S. DOE G. Sharma The MathWorks
2 Outline Introduction Setup Global Optimization for Patterns Real Time Controller DIRECT Optimization for Tuning Conclusion 2
3 Outline Introduction Setup Global Optimization for Patterns Real Time Controller DIRECT Optimization for Tuning Conclusion 3
4 New Constraints = More Complex Vehicle Fuel Economy Environment HEVs and PHEVs Cost and Complexity Higher use of math-based tools before and during design: Model-Based design Physical modeling Monte Carlo analysis Caveat: Increased detail of modeling, complexity Increased number of simulations => Longer calculation, analysis and development time 4
5 More Complex Vehicle = More Sensitive Control Higher Electric Energy Higher Electric Power Higher Control Freedom Fuel Savings Potential Depending on various driven distance, several modes are possible during charge depleting: Electric-only (EV) and Blended km/h Common Strategy = EV+CS % km/h Blended Strategy % SOC Veh. speed η high ICE η high ICE η high ICE off off η low ICE s off off off s EV MODE CS MODE BLENDED BLENDED Optimization Evaluates Control Strategy s Potential 5
6 Outline Introduction Setup Global Optimization for Patterns Real Time Controller DIRECT Optimization for Tuning Conclusion 6
7 Tool: PSAT Powertrain Systems Analysis Toolkit Setup Simulation Analysis 7
8 Process: 3-Way Approach to Control Optimization Global Optimization T eng T mc ω eng Backward model Control Design PSAT Various Control Principles ω mc X( 0) PSAT Derivative Free Optimization { P 0 ( t + 1 ), SOC ( t )} J () t 0' + 1, 0,0' { Pm ( t), SOCn( t) } U 0 ( t).. U M ( t). { PM ( t + 1 ), SOC M '( t + 1) }., J M, M '() t.. Bellman Principle X ( T ) Rule-Based Control Design Optimal Control Pattern, Minimal Fuel Cons. Various PSAT Control Strategies Optimally tuned Parameters Control Logic DIRECT Algorithm 8
9 Hardware: Computation Time Requires Distributed Computing MATLAB Distributed Computing Server - 1 Header Node - 2 Worker Nodes MATLAB and Parallel Computing Toolbox # 1 # 2 # 8 MATLAB Distributed Computing Server - 2 Worker Nodes Server Rack: - PSAT Software - Simulation Results 9
10 Outline Introduction Setup Global Optimization for Patterns Real Time Controller DIRECT Optimization for Tuning Conclusion 10
11 Finding Control Patterns Fast(er) Robustness: Different Cycles (e.g.: Urban, Highway, ) Different Distances Different Initial SOC => Set of 45 simulations => Sequential computation time ~ 2 weeks Using Distributed Computing: Simulations run in parallel => Running time ~ 12 hours 11
12 Global Optimization Showed Minimal Fuel Consumption Achieved in Blended Mode SOC Japan x25 (PSAT) Japan x25 (gl. optim) UDDS x10 (gl. optim) NEDC x10(gl. optim) 3 cycles demonstrated blended strategy is optimal when knowing the distance Example of EV+CS Mode for comparison % of total distance 12
13 Global Optimization Showed Engine Starting Condition Almost Proportional to Electrical Consumption Pwr wheels (kw) above which P(ICE=ON)= Electric Energy Consumption (Wh/km) Cycle: UDDS HWFET LA92 Driven Distance: 10 miles 20 miles 40 miles 13
14 Outline Introduction Setup Global Optimization for Patterns Real Time Controller DIRECT Optimization for Tuning Conclusion 14
15 Engine ON/OFF Logic & Engine Torque Request Engine ON / OFF Logic in Stateflow 1 wh trq dmd 2 wh spd dmd 1 eng _pwr_dmd 3 SOC nit.soc_ ess_soc_init ess pwr charging eng pwr dmd divider 6 acc pwr 4 eng spd f(u) Operating region for the engine??? Eng hot low torq curve??? Eng hot opt torq curve eng_trq_opt_dmd 2 engine torque Engine Torque Demand in Simulink??? Eng hot high torq curve 5 eng trq max 15
16 Blended Control Strategy Design Showed Significant Improvements Over EV Mode Fuel Energy Increase Over EV/CS 2% 0% -2% -4% -6% -8% -10% Up to 9% less fuel consumed Trip distance (km) Full Engine Power Optimal Engine Power 10 miles AER vehicle run on several UDDS cycles 16
17 Outline Introduction Setup Global Optimization for Patterns Real Time Controller DIRECT Optimization for Tuning Conclusion 17
18 Control Parameter Tuning with DIRECT Robustness: Different Cycles Different Distances Iterative Process: Control space is sampled at each iteration One simulation is run for each sample Control space is re-sampled around the best Simulation => Convergence after 30 iterations ~ 400 simulations => Sequential computation time ~ 2 days Using Distributed Computing: Simulations run in parallel => Running time ~ 5 hours 18
19 The Longer the Electrical Distance, the More Robust Fuel Consumption Ratio Influence of cycles (distance=23.7km) Fuel Consumption Ratio 1 Battery Energy Ratio 0.8 UDDS2 UDDS4 0.6 UDDS6 UDDS8 Tuned for a longer distance (6xUDDS) Fuel Consumption Ratio Influence of cycles (distance 1 =71.2Km) Fuel Consumption Ratio Battery Energy Ratio UDDS2 UDDS4 UDDS6 UDDS8 Cycles 0 Battery Energy Ratio Tuned for a short distance (2xUDDS) Battery Energy Ratio 19
20 Outline Introduction Setup Global Optimization for Patterns Real Time Controller DIRECT Optimization for Tuning Conclusion 20
21 Conclusion Using a combination of optimization techniques and modeling based on PSAT and MATLAB, we were able to: single out control patterns, implement them in Simulink and Stateflow, tune their parameters. Only the use of distributed computing allows this process to be performed in a timely manner: After setting up the MATALB Parallel Computing Toolbox, and Distributed Computing Servers, it took only 1 hour of development to get the first simulations running. The optimization times were reduced from more than 2 weeks to less than a day. 21
22 References Plug-in Hybrid Electric Vehicle Control Strategy: Comparison between EV and Charge-Depleting Options Sharer, P. / Rousseau, A. / Karbowski, D. / Pagerit, S. SAE World Congress 2008, April 2008 Impact of Component Size on Plug-In Hybrid Vehicle Energy Consumption Using Global Optimization Karbowski, D. / Haliburton, C. / Rousseau, A. EVS 23, December 2007 Plug-in Hybrid Electric Vehicle Control Strategy Parameter Optimization Rousseau, A. / Pagerit, S. / Gao, D. EVS 23, December 2007 Plug-in Vehicle Control Strategy: From Global Optimization to Real Time Application Karbowski, D. / Rousseau, A. / Pagerit, S. / Sharer, P. EVS22, October Global Optimization to Real Time Control of HEV Power Flow: Example of a Fuel Cell Hybrid Vehicle Pagerit, S. / Rousseau, A. / Sharer, P. EVS 21, April
PLUG-IN VEHICLE CONTROL STRATEGY: FROM GLOBAL OPTIMIZATION TO REAL-TIME APPLICATION
PLUG-IN VEHICLE CONTROL STRATEGY: FROM GLOBAL OPTIMIZATION TO REAL-TIME APPLICATION Dominik Karbowski Argonne National Laboratory Aymeric Rousseau, Sylvain Pagerit, Phillip Sharer Argonne National Laboratory
More informationPlug-in Hybrid Electric Vehicle Control Strategy Parameter Optimization
Plug-in Hybrid Electric Vehicle Control Strategy Parameter Optimization Aymeric Rousseau 1, Sylvain Pagerit 2, and David Wenzhong Gao 3 1 Center for Transportation Research, Argonne National Laboratory,
More informationImpact of Drive Cycles on PHEV Component Requirements
Paper Number Impact of Drive Cycles on PHEV Component Requirements Copyright 2008 SAE International J. Kwon, J. Kim, E. Fallas, S. Pagerit, and A. Rousseau Argonne National Laboratory ABSTRACT Plug-in
More informationUsing Trip Information for PHEV Fuel Consumption Minimization
Using Trip Information for PHEV Fuel Consumption Minimization 27 th International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium (EVS27) Barcelona, Nov. 17-20, 2013 Dominik Karbowski, Vivien
More informationFair Comparison of Powertrain Configurations for Plug-In Hybrid Operation Using Global Optimization
9--4 Fair Comparison of Powertrain Configurations for Plug-In Hybrid Operation Using Global Optimization Copyright 9 SAE International Dominik Karbowski, Sylvain Pagerit, Jason Kwon, Aymeric Rousseau Argonne
More informationEvolution of Hydrogen Fueled Vehicles Compared to Conventional Vehicles from 2010 to 2045
29--8 Evolution of Hydrogen Fueled Vehicles Compared to Conventional Vehicles from 2 to Antoine Delorme, Aymeric Rousseau, Phil Sharer, Sylvain Pagerit, Thomas Wallner Argonne National Laboratory Copyright
More informationImpact of Real-World Drive Cycles on PHEV Battery Requirements
Copyright 29 SAE International 29-1-133 Impact of Real-World Drive Cycles on PHEV Battery Requirements Mohammed Fellah, Gurhari Singh, Aymeric Rousseau, Sylvain Pagerit Argonne National Laboratory Edward
More informationImpact of Component Size on Plug-In Hybrid Vehicle Energy Consumption Using Global Optimization
Page 0092 Impact of Component Size on Plug-In Hybrid Vehicle Energy Consumption Using Global Optimization Dominik Karbowski*, Chris Haliburton*, and Aymeric Rousseau* Plug-in hybrid electric vehicles are
More informationfor a Multimode Hybrid Electric Vehicle
Instantaneously Optimized Controller for a Multimode Hybrid Electric Vehicle SAE Paper #21-1-816 816 Dominik Karbowski, Jason Kwon, Namdoo Kim, Aymeric Rousseau Argonne National Laboratory, USA SAE World
More informationGlobal Optimization to Real Time Control of HEV Power Flow: Example of a Fuel Cell Hybrid Vehicle
Global Optimization to Real Time Control of HEV Power Flow: Example of a Fuel Cell Hybrid Vehicle Sylvain Pagerit, Aymeric Rousseau, Phil Sharer Abstract Hybrid Electrical Vehicle (HEV) fuel economy highly
More informationImpact of Technology on Electric Drive Fuel Consumption and Cost
SAE 2012-01-1011 Impact of Technology on Electric Drive Fuel Consumption and Cost Copyright 2012 SAE International A. Moawad, N. Kim, A. Rousseau Argonne National Laboratory ABSTRACT In support of the
More informationPlug-in Hybrid Electric Vehicle Control Strategy Parameter Optimization
Plug-in Hybrid Electric Vehicle Control Strategy Parameter Optimization Abstract Aymeric Rousseau, Sylvain Pagerit Argonne National Laboratory 97 S Cass Ave, IL 6439, USA 63-5-76 63-5-3443 (fax) E-mail:
More informationComparison of Powertrain Configuration Options for Plug-in HEVs from a Fuel Economy Perspective
SAE 2012-01-1027 Comparison of Powertrain Configuration Options for Plug-in HEVs from a Fuel Economy Perspective Copyright 2012 SAE International Namdoo Kim, Jason Kwon, and Aymeric Rousseau Argonne National
More informationImpact of Advanced Technologies on Medium-Duty Trucks Fuel Efficiency
2010-01-1929 Impact of Advanced Technologies on Medium-Duty Trucks Fuel Efficiency Copyright 2010 SAE International Antoine Delorme, Ram Vijayagopal, Dominik Karbowski, Aymeric Rousseau Argonne National
More informationImpact of Battery Characteristics on PHEV Fuel Economy
Impact of Battery Characteristics on PHEV Fuel Economy Abstract Aymeric Rousseau, Neeraj Shidore, Richard Carlson, Dominik Karbowski Argonne National Laboratory Plug-in hybrid electric vehicles (PHEVs)
More informationSIL, HIL, and Vehicle Fuel Economy Analysis of a Pre- Transmission Parallel PHEV
EVS27 Barcelona, Spain, November 17-20, 2013 SIL, HIL, and Vehicle Fuel Economy Analysis of a Pre- Transmission Parallel PHEV Jonathan D. Moore and G. Marshall Molen Mississippi State University Jdm833@msstate.edu
More informationFuel Economy Potential of Advanced Configurations from 2010 to 2045
Fuel Economy Potential of Advanced Configurations from 2010 to 2045 IFP HEV Conference November, 2008 Aymeric Rousseau Argonne National Laboratory Sponsored by Lee Slezak U.S. DOE Evaluate Vehicle Fuel
More informationRoute-Based Energy Management for PHEVs: A Simulation Framework for Large-Scale Evaluation
Transportation Technology R&D Center Route-Based Energy Management for PHEVs: A Simulation Framework for Large-Scale Evaluation Dominik Karbowski, Namwook Kim, Aymeric Rousseau Argonne National Laboratory,
More informationAUTONOMIE [2] is used in collaboration with an optimization algorithm developed by MathWorks.
Impact of Fuel Cell System Design Used in Series Fuel Cell HEV on Net Present Value (NPV) Jason Kwon, Xiaohua Wang, Rajesh K. Ahluwalia, Aymeric Rousseau Argonne National Laboratory jkwon@anl.gov Abstract
More informationUsing multiobjective optimization for automotive component sizing
EVS28 KINTEX, Korea, May 3-6, 2015 Using multiobjective optimization for automotive component sizing R. Vijayagopal, 1 R. Chen, 2 P. Sharer, 1 S. Wild, 1 A. Rousseau 1 1 Argonne National Laboratory, Argonne,
More informationCOMPONENT AND SUBSYSTEM EVALUATION IN A SYSTEMS CONTEXT USING HARDWARE IN THE LOOP
COMPONENT AND SUBSYSTEM EVALUATION IN A SYSTEMS CONTEXT USING HARDWARE IN THE LOOP Neeraj Shidore, Henning Lohse-Busch, Ryan W Smith, Ted Bohn, Philip B Sharer Argonne National Laboratory, 9700 South Cass
More informationValidation and Control Strategy to Reduce Fuel Consumption for RE-EV
Validation and Control Strategy to Reduce Fuel Consumption for RE-EV Wonbin Lee, Wonseok Choi, Hyunjong Ha, Jiho Yoo, Junbeom Wi, Jaewon Jung and Hyunsoo Kim School of Mechanical Engineering, Sungkyunkwan
More informationContents. Figures. iii
Contents Executive Summary... 1 Introduction... 2 Objective... 2 Approach... 2 Sizing of Fuel Cell Electric Vehicles... 3 Assumptions... 5 Sizing Results... 7 Results: Midsize FC HEV and FC PHEV... 8 Contribution
More informationDeakin Research Online
Deakin Research Online This is the published version: Shams-Zahraei, Mojtaba and Kouzani, Abbas Z. 2009, A study on plug-in hybrid electic vehicles, in TENCON 2009 : Proceedings of the 2009 IEEE Region
More informationImpact of Fuel Cell and Storage System Improvement on Fuel Consumption and Cost
Page WEVJ8-0305 EVS29 Symposium Montréal, Québec, Canada, June 19-22, 2016 Impact of Fuel Cell and Storage System Improvement on Fuel Consumption and Cost Namdoo Kim 1, Ayman Moawad 1, Ram Vijayagopal
More informationEVs and PHEVs environmental and technological evaluation in actual use
Énergies renouvelables Production éco-responsable Transports innovants Procédés éco-efficients Ressources durables EVs and PHEVs environmental and technological evaluation in actual use F. Badin, IFPEN,
More informationBuilding Fast and Accurate Powertrain Models for System and Control Development
Building Fast and Accurate Powertrain Models for System and Control Development Prasanna Deshpande 2015 The MathWorks, Inc. 1 Challenges for the Powertrain Engineering Teams How to design and test vehicle
More informationThe MathWorks Crossover to Model-Based Design
The MathWorks Crossover to Model-Based Design The Ohio State University Kerem Koprubasi, Ph.D. Candidate Mechanical Engineering The 2008 Challenge X Competition Benefits of MathWorks Tools Model-based
More informationOptimal Control Strategy Design for Extending. Electric Vehicles (PHEVs)
Optimal Control Strategy Design for Extending All-Electric Driving Capability of Plug-In Hybrid Electric Vehicles (PHEVs) Sheldon S. Williamson P. D. Ziogas Power Electronics Laboratory Department of Electrical
More informationFive Cool Things You Can Do With Powertrain Blockset The MathWorks, Inc. 1
Five Cool Things You Can Do With Powertrain Blockset Mike Sasena, PhD Automotive Product Manager 2017 The MathWorks, Inc. 1 FTP75 Simulation 2 Powertrain Blockset Value Proposition Perform fuel economy
More informationBenefits of Fuel Cell Range Extender for Medium-Duty Vehicle Applications
World Electric Vehicle Journal Vol. 6 - ISSN 2032-6653 - 2013 WEVA Page Page 0452 EVS27 Barcelona, Spain, November 17 20, 2013 Benefits of Fuel Cell Range Extender for Medium-Duty Vehicle Applications
More informationUsing multiobjective optimization for automotive component sizing
EVS28 KINTEX, Korea, May 3-6, 2015 Using multiobjective optimization for automotive component sizing R. Vijayagopal, R. Chen, P. Sharer, S.M.Wild, A. Rousseau Argonne National Laboratory, Argonne, IL,
More informationVehicle Validation using PSAT/Autonomie. Antoine Delorme, Aymeric Rousseau, Sylvain Pagerit, Phil Sharer Argonne National Laboratory
Vehicle Validation using PSAT/Autonomie Antoine Delorme, Aymeric Rousseau, Sylvain Pagerit, Phil Sharer Argonne National Laboratory Outline Validation Process Light Duty Conventional Vehicles Mild Hybrids
More informationThermal Model Developments for Electrified Vehicles
EVS28 KINTEX, Korea, May 3-6, 215 Thermal Model Developments for Electrified Vehicles Namwook Kim 1, Namdoo Kim 1, Aymeric Rousseau 1 1 Argonne National Laboratory, 97 S. Cass Ave, Lemont, IL6439, USA
More informationOptimizing Performance and Fuel Economy of a Dual-Clutch Transmission Powertrain with Model-Based Design
Optimizing Performance and Fuel Economy of a Dual-Clutch Transmission Powertrain with Model-Based Design Vijayalayan R, Senior Team Lead, Control Design Application Engineering, MathWorks India Pvt Ltd
More informationControl and design considerations in electric-drive vehicles
Scholars' Mine Masters Theses Student Research & Creative Works Summer 2010 Control and design considerations in electric-drive vehicles Shweta Neglur Follow this and additional works at: http://scholarsmine.mst.edu/masters_theses
More informationOptimal Catalyst Temperature Management of Plug-in Hybrid Electric Vehicles
American Control Conference on O'Farrell Street, San Francisco, CA, USA June 9 - July, Optimal Catalyst Temperature Management of Plug-in Hybrid Electric Vehicles Dongsuk Kum, Huei Peng, and Norman K.
More informationSystem Analysis of the Diesel Parallel Hybrid Vehicle Powertrain
System Analysis of the Diesel Parallel Hybrid Vehicle Powertrain Kitae Yeom and Choongsik Bae Korea Advanced Institute of Science and Technology ABSTRACT The automotive industries are recently developing
More informationMODELING ELECTRIFIED VEHICLES UNDER DIFFERENT THERMAL CONDITIONS
MODELING ELECTRIFIED VEHICLES UNDER DIFFERENT THERMAL CONDITIONS Namwook Kim, Neeraj Shidore, Dominik Karbowski, Aymeric Rousseau Argonne National Laboratory Electrical consumption (wh/milie) Temperature
More informationParallel Hybrid (Boosted) Range Extender Powertrain
World Electric Vehicle Journal Vol. 4 - ISSN 232-6653 - 21 WEVA Page622 EVS25 Shenzhen, China, Nov 5-9, 21 Parallel Hybrid (Boosted) Range Extender Powertrain Patrick Debal 1, Saphir Faid 1, and Steven
More informationMECA0500: PLUG-IN HYBRID ELECTRIC VEHICLES. DESIGN AND CONTROL. Pierre Duysinx
MECA0500: PLUG-IN HYBRID ELECTRIC VEHICLES. DESIGN AND CONTROL Pierre Duysinx Research Center in Sustainable Automotive Technologies of University of Liege Academic Year 2017-2018 1 References R. Bosch.
More informationPredictive Control Strategies using Simulink
Example slide Predictive Control Strategies using Simulink Kiran Ravindran, Ashwini Athreya, HEV-SW, EE/MBRDI March 2014 Project Overview 2 Predictive Control Strategies using Simulink Kiran Ravindran
More informationModeling and Control of Hybrid Electric Vehicles Tutorial Session
Modeling and Control of Hybrid Electric Vehicles Tutorial Session Ardalan Vahidi And Students: Ali Borhan, Chen Zhang, Dean Rotenberg Mechanical Engineering, Clemson University Clemson, South Carolina
More informationEvaluation of Ethanol Blends for Plug-In Hybrid Vehicles Using Engine in the Loop
2012-01-1280 Evaluation of Ethanol Blends for Plug-In Hybrid Vehicles Using Engine in the Loop Neeraj Shidore (1), Andrew Ickes (1), Thomas Wallner (1), Aymeric Rousseau (1), James Sevik (1), Mehrdad Ehsani
More informationA Rule-Based Energy Management Strategy for Plugin Hybrid Electric Vehicle (PHEV)
29 American Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June 1-12, 29 FrA1.1 A Rule-Based Energy Management Strategy for Plugin Hybrid Electric Vehicle (PHEV) Harpreetsingh Banvait,
More informationREAL TIME SIMULATION AND HARDWARE-IN-LOOP TESTING OF A HYBRID ELECTRIC VEHICLE CONTROL SYSTEM. A Thesis. Presented to
REAL TIME SIMULATION AND HARDWARE-IN-LOOP TESTING OF A HYBRID ELECTRIC VEHICLE CONTROL SYSTEM A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements
More informationPlug-in Hybrid Systems newly developed by Hynudai Motor Company
World Electric Vehicle Journal Vol. 5 - ISSN 2032-6653 - 2012 WEVA Page 0191 EVS26 Los Angeles, California, May 6-9, 2012 Plug-in Hybrid Systems newly developed by Hynudai Motor Company 1 Suh, Buhmjoo
More informationPHEV Operation Experience and Expectations
PHEV Operation Experience and Expectations by Tony Markel Tony_Markel@nrel.gov National Renewable Energy Laboratory November 1, 27 With support from the U.S. Department of Energy Office of Energy Efficiency
More informationFull Vehicle Simulation for Electrification and Automated Driving Applications
Full Vehicle Simulation for Electrification and Automated Driving Applications Vijayalayan R & Prasanna Deshpande Control Design Application Engineering 2015 The MathWorks, Inc. 1 Key Trends in Automotive
More informationModeling and Simulate Automotive Powertrain Systems
Modeling and Simulate Automotive Powertrain Systems Maurizio Dalbard 2015 The MathWorks, Inc. 1 Model-Based Design Challenges It s hard to do good Model-Based Design without good models Insufficient expertise
More informationFuel Consumption Potential of Different Plugin Hybrid Vehicle Architectures in the European and American Contexts
Fuel Consumption Potential of Different Plugin Hybrid Vehicle Architectures in the European and American Contexts A. Da Costa, N. Kim, F. Le Berr, N. Marc, F. Badin, A. Rousseau IFP Energies nouvelles
More informationModelling and Analysis of Plug-in Series-Parallel Hybrid Medium-Duty Vehicles
Research Report UCD-ITS-RR-15-19 Modelling and Analysis of Plug-in Series-Parallel Hybrid Medium-Duty Vehicles December 2015 Hengbing Zhao Andrew Burke Institute of Transportation Studies University of
More informationRegenerative Braking System for Series Hybrid Electric City Bus
Page 0363 Regenerative Braking System for Series Hybrid Electric City Bus Junzhi Zhang*, Xin Lu*, Junliang Xue*, and Bos Li* Regenerative Braking Systems (RBS) provide an efficient method to assist hybrid
More informationBattery Evaluation for Plug-In Hybrid Electric Vehicles
Battery Evaluation for Plug-In Hybrid Electric Vehicles Mark S. Duvall Electric Power Research Institute 3412 Hillview Avenue Palo Alto, CA 9434 Abstract-This paper outlines the development of a battery
More informationVEHICLE ELECTRIFICATION INCREASES EFFICIENCY AND CONSUMPTION SENSITIVITY
VEHICLE ELECTRIFICATION INCREASES EFFICIENCY AND CONSUMPTION SENSITIVITY Henning Lohse-Busch, Ph.D. Argonne National Laboratory Argonne s Center for Transportation Research Basic & Applied Combustion Research
More informationReal Driving Emission and Fuel Consumption (for plug-in hybrids)
Real Driving Emission and Fuel Consumption (for plug-in hybrids) A3PS Eco-Mobility 2016 Vienna, October 17-18, 2016 Henning Lohse-Busch, Ph.D. hlb@anl.gov Argonne National Laboratory Argonne s Advanced
More informationDesigning for Reliability and Robustness with MATLAB
Designing for Reliability and Robustness with MATLAB Parameter Estimation and Tuning Sensitivity Analysis and Reliability Design of Experiments (DoE) and Calibration U. M. Sundar Senior Application Engineer
More informationApproved by Major Professor(s):
Graduate School ETD Form 9 (Revised 12/07) PURDUE UNIVERSITY GRADUATE SCHOOL Thesis/Dissertation Acceptance This is to certify that the thesis/dissertation prepared By Entitled For the degree of Is approved
More informationCost-Effective Hybrid-Electric Powertrains
Cost-Effective Hybrid-Electric Powertrains November 3, 2003 Troy, Michigan Dr. Alex Severinsky Ted Louckes Fred Frederiksen 1 Content Sources of improvements in fuel economy Basis for cost-effective design
More informationIntegrated Powertrain Simulation for Energy Management of Hybrid Electric Vehicles
Integrated Powertrain Simulation for Energy Management of Hybrid Electric Vehicles October 24 th, 2011 Kentaro Watanabe Nissan Motor Co., Ltd. 1 Outline 1. Motivation 2. Simulation technology 3. Recent
More informationEvaluation of Ethanol Blends for PHEVs using Engine-in-the-Loop
Evaluation of Ethanol Blends for PHEVs using Engine-in-the-Loop Neeraj Shidore, Andrew Ickes, Thomas Wallner, Aymeric Rousseau, Mehrdad Ehsani* Argonne National Laboratory, Texas A&M University* nshidore@anl.gov
More informationVehicle Performance. Pierre Duysinx. Research Center in Sustainable Automotive Technologies of University of Liege Academic Year
Vehicle Performance Pierre Duysinx Research Center in Sustainable Automotive Technologies of University of Liege Academic Year 2015-2016 1 Lesson 4: Fuel consumption and emissions 2 Outline FUEL CONSUMPTION
More informationLight-duty-vehicle fuel consumption, cost and market penetration potential by 2020
EVS26 Los Angeles, California, May 6-9, 2012 Light-duty-vehicle fuel consumption, cost and market penetration potential by 2020 Jacob Ward 1, Ayman Moawad 2, Namdoo Kim 3, Aymeric Rousseau 4 1 U.S. Department
More informationSystem-level design of electrohydraulic and mechatronic systems
System-level design of electrohydraulic and mechatronic systems 2008 The MathWorks, Inc. Steve Miller Technical Marketing, Physical Modeling Tools The MathWorks GmbH, Munich, Germany Steve.Miller@mathworks.de
More informationModel-Based Design and Hardware-in-the-Loop Simulation for Clean Vehicles Bo Chen, Ph.D.
Model-Based Design and Hardware-in-the-Loop Simulation for Clean Vehicles Bo Chen, Ph.D. Dave House Associate Professor of Mechanical Engineering and Electrical Engineering Department of Mechanical Engineering
More informationMing Cheng, Bo Chen, Michigan Technological University
THE MODEL INTEGRATION AND HARDWARE-IN-THE-LOOP (HIL) SIMULATION DESIGN FOR THE ANALYSIS OF A POWER-SPLIT HYBRID ELECTRIC VEHICLE WITH ELECTROCHEMICAL BATTERY MODEL Ming Cheng, Bo Chen, Michigan Technological
More informationSupervisory Control of Plug-in Hybrid Electric Vehicle with Hybrid Dynamical System
Supervisory Control of Plug-in Hybrid Electric Vehicle with Hybrid Dynamical System Harpreetsingh Banvait, Jianghai Hu and Yaobin chen Abstract In this paper, a supervisory control of Plug-in Hybrid Electric
More informationPerodua Myvi engine fuel consumption map and fuel economy vehicle simulation on the drive cycles based on Malaysian roads
Perodua Myvi engine fuel consumption map and fuel economy vehicle simulation on the drive cycles based on Malaysian roads Muhammad Iftishah Ramdan 1,* 1 School of Mechanical Engineering, Universiti Sains
More informationPARALLEL HYBRID ELECTRIC VEHICLES: DESIGN AND CONTROL. Pierre Duysinx. LTAS Automotive Engineering University of Liege Academic Year
PARALLEL HYBRID ELECTRIC VEHICLES: DESIGN AND CONTROL Pierre Duysinx LTAS Automotive Engineering University of Liege Academic Year 2015-2016 1 References R. Bosch. «Automotive Handbook». 5th edition. 2002.
More informationA Techno-Economic Analysis of BEVs with Fast Charging Infrastructure. Jeremy Neubauer Ahmad Pesaran
A Techno-Economic Analysis of BEVs with Fast Charging Infrastructure Jeremy Neubauer (jeremy.neubauer@nrel.gov) Ahmad Pesaran Sponsored by DOE VTO Brian Cunningham David Howell NREL is a national laboratory
More informationDesign Optimization of a Series Plug-in Hybrid Electric Vehicle for Real-World Driving Conditions
21-1-84 Design Optimization of a Series Plug-in Hybrid Electric Vehicle for Real-World Driving Conditions Copyright 21 SAE International Rakesh Patil, Brian Adornato, and Zoran Filipi Mechanical Engineering
More informationReduction of the prediction horizon of predictive energy management for a plug-in HEV in hilly terrain
Urban Transport XIX 397 Reduction of the prediction horizon of predictive energy management for a plug-in HEV in hilly terrain B. Bader 1, O. Torres 1, J. A. Ortega 1, G. Lux 2 & J. L. Romeral 1,3 1 MCIA,
More informationVelocity Optimization of Pure Electric Vehicles with Traffic Dynamics Consideration
Velocity Optimization of Pure Electric Vehicles with Traffic Dynamics Consideration Liuwang Kang, Haiying Shen, and Ankur Sarker Department of Computer Science, University of Virginia Outline Introduction
More informationDevelopment of a Plug-In HEV Based on Novel Compound Power-Split Transmission
Page WEVJ7-66 EVS8 KINEX, Korea, May 3-6, 5 velopment of a Plug-In HEV Based on Novel Compound Power-Split ransmission ong Zhang, Chen Wang,, Zhiguo Zhao, Wentai Zhou, Corun CHS echnology Co., Ltd., NO.888
More informationPOWER DISTRIBUTION CONTROL ALGORITHM FOR FUEL ECONOMY OPTIMIZATION OF 48V MILD HYBRID VEHICLE
POWER DISTRIBUTION CONTROL ALGORITHM FOR FUEL ECONOMY OPTIMIZATION OF 48V MILD HYBRID VEHICLE Seongmin Ha (a), Taeho Park (b),wonbin Na (c), Hyeongcheol Lee *(d) (a) (b) (c) Department of Electric Engineering,
More information«EMR and Control of a Three-wheel Roadster with Hybrid Energy Storage System»
EMR 15 Lille June 2015 Summer School EMR 15 Energetic Macroscopic Representation «EMR and Control of a Three-wheel Roadster with Hybrid Energy Storage System» Prof. João P. TROVÃO and Prof. Maxime DUBOIS
More informationAnalysis of Fuel Economy and Battery Life depending on the Types of HEV using Dynamic Programming
World Electric Vehicle Journal Vol. 6 - ISSN 2032-6653 - 2013 WEVA Page Page 0320 EVS27 Barcelona, Spain, November 17-20, 2013 Analysis of Fuel Economy and Battery Life depending on the Types of HEV using
More informationImpact of Connection and Automation on Electrified Vehicle Energy Consumption
Impact of Connection and Automation on Electrified Vehicle Energy Consumption SAE 215 Vehicle Electrification and Connected Vehicle Technology Forum December 4, 215 Aymeric Rousseau, Pierre Michel, Dominik
More informationONE-PEDAL DRIVING RAPID FEATURE DEVELOPMENT WITH SIMULINK MATHWORKS AUTOMOTIVE CONFERENCE MAY
ONE-PEDAL DRIVING RAPID FEATURE DEVELOPMENT WITH SIMULINK MATHWORKS AUTOMOTIVE CONFERENCE MAY 9, 2017 Nathaniel Michaluk Control Algorithm Engineer, Global Electrification Controls This talk will introduce
More informationOptimal Predictive Control for Connected HEV AMAA Brussels September 22 nd -23 rd 2016
Optimal Predictive Control for Connected HEV AMAA Brussels September 22 nd -23 rd 2016 Hamza I.H. AZAMI Toulouse - France www.continental-corporation.com Powertrain Technology Innovation Optimal Predictive
More informationComparing the powertrain energy and power densities of electric and gasoline vehicles
Comparing the powertrain energy and power densities of electric and gasoline vehicles RAM VIJAYAGOPAL Argonne National Laboratory 20 July 2016 Ann Arbor, MI Overview Introduction Comparing energy density
More informationMECA0500: PARALLEL HYBRID ELECTRIC VEHICLES. DESIGN AND CONTROL. Pierre Duysinx
MECA0500: PARALLEL HYBRID ELECTRIC VEHICLES. DESIGN AND CONTROL Pierre Duysinx Research Center in Sustainable Automotive Technologies of University of Liege Academic Year 2017-2018 1 References R. Bosch.
More informationPerformance Analysis of Green Car using Virtual Integrated Development Environment
Performance Analysis of Green Car using Virtual Integrated Development Environment Nak-Tak Jeong, Su-Bin Choi, Choong-Min Jeong, Chao Ma, Jinhyun Park, Sung-Ho Hwang, Hyunsoo Kim and Myung-Won Suh Abstract
More informationFuel Consumption, Exhaust Emission and Vehicle Performance Simulations of a Series-Hybrid Electric Non-Automotive Vehicle
2017 Published in 5th International Symposium on Innovative Technologies in Engineering and Science 29-30 September 2017 (ISITES2017 Baku - Azerbaijan) Fuel Consumption, Exhaust Emission and Vehicle Performance
More informationModel-Based Engine Calibration
Model-Based Engine Calibration International Automotive Conference 15 June 2004 Dr David Sampson The MathWorks 2003 The MathWorks, Inc. Model-Based Calibration: Outline The concept Example applications
More informationPLUG-IN hybrid electric vehicles (PHEVs) use grid electricity
1516 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 6, NO. 4, MAY 211 Charge-Depleting Control Strategies and Fuel Optimization of Blended-Mode Plug-In Hybrid Electric Vehicles Bingzhan Zhang, Chris Chunting
More informationHYBRID ELECTRIC VEHICLE SYSTEM MODELING AND CONTROL
HYBRID ELECTRIC VEHICLE SYSTEM MODELING AND CONTROL Second Edition Wei Liu General Motors, USA WlLEY Contents Preface List of Abbreviations Nomenclature xiv xviii xxii 1 Introduction 1 1.1 Classification
More informationResearch Article Modelling, Simulations, and Optimisation of Electric Vehicles for Analysis of Transmission Ratio Selection
Advances in Mechanical Engineering Volume 2013, Article ID 340435, 13 pages http://dx.doi.org/10.1155/2013/340435 Research Article Modelling, Simulations, and Optimisation of Electric Vehicles for Analysis
More informationPerformance Evaluation of Electric Vehicles in Macau
Journal of Asian Electric Vehicles, Volume 12, Number 1, June 2014 Performance Evaluation of Electric Vehicles in Macau Tze Wood Ching 1, Wenlong Li 2, Tao Xu 3, and Shaojia Huang 4 1 Department of Electromechanical
More informationHybrid Electric Vehicle End-of-Life Testing On Honda Insights, Honda Gen I Civics and Toyota Gen I Priuses
INL/EXT-06-01262 U.S. Department of Energy FreedomCAR & Vehicle Technologies Program Hybrid Electric Vehicle End-of-Life Testing On Honda Insights, Honda Gen I Civics and Toyota Gen I Priuses TECHNICAL
More informationEarly Stage Vehicle Concept Design with GT-SUITE
1/18 Early Stage Vehicle Concept Design with GT-SUITE Katsuya Minami Honda R&D Co., Ltd., Automotive R&D Center, Japan Benefits of 1D-Simulation 2/18 How each component is operating during legislative
More informationAnalysis of WLTP Utility Factor Distributions
WLTP-06-08e Analysis of WLTP Utility Factor Distributions ACEA EV Group IG WLTP Meeting, Vienna Contact: Andreas.EA.Eder@bmw.de 26.3.2014 Basics and usage of the Utility Factor in WLTP according to GTR
More informationNonlinear Constrained Component Optimization of a Plug-in Hybrid Electric Vehicle Powertrain
Nonlinear Constrained Component Optimization of a Plug-in Hybrid Electric Vehicle Powertrain Abstract Emrah T. Yildiz 1, Quazi Farooqi 2, Sohel Anwar 3, Yaobin Chen 4, and Afshin Izadian 5 1 Cummins, Inc.,
More informationBattery Pack Laboratory Testing Results
Battery Pack Laboratory Testing Results 2013 Toyota Prius Plug-in - VIN 8663 Vehicle Details and Battery Specifications¹ʹ² Vehicle Details Base Vehicle: 2013 Toyota Prius Plug-in Architecture: Plug-In
More informationHardware-In-the-Loop (HIL) Testbed for Evaluating Connected Vehicle Applications
Hardware-In-the-Loop (HIL) Testbed for Evaluating Connected Vehicle Applications Department of Mechanical Engineering University of Minnesota Project Members : Mohd Azrin Mohd Zulkefli Pratik Mukherjee
More informationIA-HEV Task 15. Plug-in Hybrid Electric Vehicles. Phase 1 Findings & Phase 2 Recommendations
IA-HEV Task 15. Plug-in Hybrid Electric Vehicles. Phase 1 Findings & Phase 2 Recommendations Danilo J. Santini, Operating Agent, Phase 1 Aymeric Rousseau, Operating Agent, Phase 2 Center for Transportation
More informationReal-world investigation of a methodology for powertrain component sizing of hybrid electric vehicles
EVS27 Barcelona, Spain, November 17-20, 2013 Real-world investigation of a methodology for powertrain component sizing of hybrid electric vehicles Hillol Kumar Roy, Andrew McGordon, Paul A. Jennings WMG,
More informationAPVC2009. Genetic Algorithm for UTS Plug-in Hybrid Electric Vehicle Parameter Optimization. Abdul Rahman SALISA 1,2 Nong ZHANG 1 and Jianguo ZHU 1
Genetic Algorithm for UTS Plug-in Hybrid Electric Vehicle Parameter Optimization Abdul Rahman SALISA 1,2 Nong ZHANG 1 and Jianguo ZHU 1 1 School of Electrical, Mechanical and Mechatronic Systems, University
More informationAnalysis of regenerative braking effect to improve fuel economy for E-REV bus based on simulation
EVS28 KINTEX, Korea, May 3-6, 2015 Analysis of regenerative braking effect to improve fuel economy for E-REV bus based on simulation Jongdai Choi 1, Jongryeol Jeong 1, Yeong-il Park 2, Suk Won Cha 1 1
More informationIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 63, NO. 4, MAY
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 63, NO. 4, MAY 2014 1567 Energy Management for a Power-Split Plug-in Hybrid Electric Vehicle Based on Dynamic Programming and Neural Networks Zheng Chen,
More information