«EMR and Control of a Three-wheel Roadster with Hybrid Energy Storage System»

Similar documents
«Electric Superbike Regenerative Braking Study using EMR»

Open-winding multiphase machines with two different storage sources

CELL VEHICLE» Graz University of Technology (Austria) April 2012

«OPTIMAL ENERGY MANAGEMENT BY EMR AND META-HEURISTIC APPROACH FOR MULTI-SOURCE ELECTRIC VEHICLES»

«EMR AND INVERSION-BASED CONTROL

EMR AND INVERSION-BASED CONTROL OF A SERIES HYBRID ELECTRIC EXCURSION SHIP

«EMR of an Electric Vehicle»

«EMR AND INVERSION-BASED CONTROL

«EMR and IBC of an Electric Vehicle including thermal comfort»

Tony LETROUVE L2EP, University Lille1, PSA Peugeot Citroën, MEGEVH network

«From EMR Pictograms to µc programming using Java»

«electricity & Vehicles» PLATFORM

«EMR and Inversion-Based Control of a CVT-based Hybrid Truck»

«EMR & inversion-based control of a multi-stack Fuel cell system»

«EMR OF BATTERY AND TRACTION SYSTEMS»

«Implementation and study of temperature effect

Dr. Tony LETROUVE, Dr. Julien POUGET SNCF Innovation & Research Dep., MEGEVH network,

SIMULATION FOR TESTING

Energetic Macroscopic Representation and Inversion- Based control of a CVT-based HEV

«EMR of a battery multi-physical model for electric vehicles»

«FAULT-OPERATION MODES OF A HIGHLY REDUNDANT MILITARY HEV»

Prof. Alain BOUSCAYROL, Dr. Ali CASTAINGS L2EP, Université Lille1, MEGEVH network,

«Modelling and EMR of a Hybrid Elevator»

Comparative Study of Different Energy Management Strategies for Dual-Source Electric Vehicles

Signal Hardware-In-the-Loop simulation of a Hybrid locomotive

EMR AND APPLICATIONS «INTRODUCTION TO UNIT ON. Graz University of Technology (Austria) April 2012

STORAGE SYSTEM PV APPLICATIONS

EMR 11 Lausanne July S. A. Syed 1,3, W. Lhomme 1,3, A. Bouscayrol 1,3, O. Pape 2,3, B. Petitdidier 2,3

Dr. Philippe Barrade LEI, Ecole Polytechnique Fédérale de Lausanne, Suisse ** L2EP, University Lille1, France

Energetic Macroscopic Representation and Energy Management Strategy of a Hybrid Electric Locomotive

Control validation of Peugeot 3 8 HYbrid4 Vehicle Using a Reduced-scale Power HIL Simulation

Energy Management Strategy Based on Frequency- Varying Filter for the Battery Supercapacitor Hybrid System of Electric Vehicles

«EMR AND APPLICATIONS

PHEV Control Strategy Optimization Using MATLAB Distributed Computing: From Pattern to Tuning

Capacity Design of Supercapacitor Battery Hybrid Energy Storage System with Repetitive Charging via Wireless Power Transfer

«Fuel cell and ultracapacitor hybrid power system»

Optimal Fuzzy Logic Energy Management Strategy of Hybrid Electric Locomotives

Optimal Control Strategy Design for Extending. Electric Vehicles (PHEVs)

Dynamic Modeling and Simulation of a Series Motor Driven Battery Electric Vehicle Integrated With an Ultra Capacitor

OPTIMAL POWER MANAGEMENT OF HYDROGEN FUEL CELL VEHICLES

Real-Time Simulation of A Modular Multilevel Converter Based Hybrid Energy Storage System

APPLICATIONS. Prof. A. Bouscayrol (University Lille1, L2EP, MEGEVH, France)

EMS of Electric Vehicles using LQG Optimal Control

SIL, HIL, and Vehicle Fuel Economy Analysis of a Pre- Transmission Parallel PHEV

HYBRID ELECTRIC VEHICLE SYSTEM MODELING AND CONTROL

FRENCH SCIENTIFIC NETWORK ON HYBRID ELECTRIC «MEGEVH: VEHICLES (HEV( MEGEVH presentation

Design Modeling and Simulation of Supervisor Control for Hybrid Power System

Electromechanical Components and its Energy Saving Design Strategy in PHEV Powertrain

Optimal energy efficiency, vehicle stability and safety on the OpEneR EV with electrified front and rear axles

ALTHOUGH fossil fuel resources are limited, the demand

Dual power flow Interface for EV, HEV, and PHEV Applications

MULTI-ARCHITECTURE / MULTI-APPLICATION MODELLING APPROACH FOR HYBRID ELECTRIC VEHICLE USING ENERGETIC MACROSCOPIC REPRESENTATION

Modeling, Design, and Control of Hybrid Energy Systems and Wireless Power Transfer systems

Power Matching Strategy Modeling and Simulation of PHEV Based on Multi agent

various energy sources. Auto rickshaws are three-wheeled vehicles which are commonly used as taxis for people and

A conceptual design of main components sizing for UMT PHEV powertrain

A Fuzzy Logic Global Power Management Strategy for Hybrid Electric Vehicles Based on a Permanent Magnet Electric Variable Transmission

Fuzzy based Adaptive Control of Antilock Braking System

NOVEL MODULAR MULTIPLE-INPUT BIDIRECTIONAL DC DC POWER CONVERTER (MIPC) FOR HEV/FCV APPLICATION

Model-Based Design and Hardware-in-the-Loop Simulation for Clean Vehicles Bo Chen, Ph.D.

Numerical Analysis of Speed Optimization of a Hybrid Vehicle (Toyota Prius) By Using an Alternative Low-Torque DC Motor

Series Connection of Supercapacitors: Comparative Study of Solutions for the Active equalization of the Voltages

J. Electrical Systems 13-1 (2017): Regular paper. Energy Management System Optimization for Battery- Ultracapacitor Powered Electric Vehicle

The Chances and Potentials for Low-Voltage Hybrid Solutions in Ultra-Light Vehicles

Design of High Performance and High Efficiency DC-DC Converter for Hybrid Electric Vehicles

Isolated Bidirectional DC DC Converter for SuperCapacitor Applications

Modeling and thermal simulation of a PHEV battery module with cylindrical LFP cells

Performance Analysis of Bidirectional DC-DC Converter for Electric Vehicle Application

Ph.D., Electrical Engineering May. 2011

Development of Regenerative Braking Co-operative Control System for Automatic Transmission-based Hybrid Electric Vehicle using Electronic Wedge Brake

Sizing of Hybrid Source Battery/Supercapacitor for Automotive Applications

A Simple and Effective Hardware-in-the-Loop Simulation Platform for Urban Electric Vehicles

Fuzzy logic controlled Bi-directional DC-DC Converter for Electric Vehicle Applications

Battery Models Parameter Estimation based on Matlab/Simulink

Efficient Power-Electronic Converters for Electric Vehicle Applications

THE IMPACT OF BATTERY OPERATING TEMPERATURE AND STATE OF CHARGE ON THE LITHIUM-ION BATTERY INTERNAL RESISTANCE

Study on State of Charge Estimation of Batteries for Electric Vehicle

Study on Fuel Economy Performance of HEV Based on Powertrain Test Bed

INTELLIGENT ENERGY MANAGEMENT IN A TWO POWER-BUS VEHICLE SYSTEM

Design and Control of Series Parallel Hybrid Electric Vehicle

Analysis of Fuel Economy and Battery Life depending on the Types of HEV using Dynamic Programming

Dynamic Modelling of Hybrid System for Efficient Power Transfer under Different Condition

2010 Advanced Energy Conference. Electrification Technology and the Future of the Automobile. Mark Mathias

Research Article A Novel Degradation Estimation Method for a Hybrid Energy Storage System Consisting of Battery and Double-Layer Capacitor

All-in-one Simulation and DoE Methodology for the Evaluation and Optimisation of HEV Configurations. W.-R. Landschoof, M. Kämpfner, Dr. M.

Performance Analysis of Green Car using Virtual Integrated Development Environment

Royal Institute of Technology (KTH) S Stockholm Sweden

Battery Response Analyzer using a high current DC-DC converter as an electronic load F. Ibañez, J.M. Echeverria, J. Vadillo, F.Martín and L.

Implementation Soft Switching Bidirectional DC- DC Converter For Stand Alone Photovoltaic Power Generation System

Modeling and Simulation of a Series Parallel Hybrid Electric Vehicle Using REVS

Regenerative Braking System for Series Hybrid Electric City Bus

Energy management optimization Based on Fuzzy Logic for a fuel cell electrical vehicle with Battery- Ultracapacitor hybrid storage system

Using Trip Information for PHEV Fuel Consumption Minimization

Comparison of Standard and Fast Charging Methods for Electric Vehicles

A Parallel Energy-Sharing Control for Fuel cell Battery-Ultracapacitor Hybrid Vehicle

Modelling, Control, and Simulation of Electric Propulsion Systems with Electronic Differential and Induction Machines

Zhuang Xu. Contact. Biography. Expertise Summary. Teaching Summary. Refereed Journal Papers

Parametric Design and Robust Control Strategy for HEV Based on Permanent Magnet Electrical Variable Transmission

European Conference on Nanoelectronics and Embedded Systems for Electric Mobility. An Insight into Active Balancing for Lithium-Ion Batteries

An approach for estimation of optimal energy flows in battery storage devices for electric vehicles in the smart grid

Transcription:

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 e-tesc Lab., University of Sherbrooke, QC, Canada

1. Work Context; - Outline - 2. Three-Wheel Roadster Model; a. Traction System Model; b. Common DC Bus Model; c. DC-DC Converters and Storage Systems Model; 3. Control and Management Strategy; a. Maximum Control Structure; b. Energy Management Strategy; 4. Simulation Results; 5. Conclusions. 2

EMR 15 Lille June 2015 Summer School EMR 15 Energetic Macroscopic Representation «Work Context»

- Work Context - 4 Main Actions: Upgrade the original version; Three-Wheel Roadster for Recreational Operations Full-battery original version Linked Objectives: increase the driving range; reduce the degradation of the battery pack; Proposed Solution: Addition of a SCs pack combined to high specific energy batteries. Increase costs and overall complexity. Approach / Tools: EMR approach for model organization; Assist in the energy strategy definition.

- Work Context - 5 H-ESS Roadster Three-Wheel Roadster with high-power Li-Ion batteries reduced range autonomy Reduced space and weight limitations to increase the range with the same battery technology

EMR 15 Lille June 2015 Summer School EMR 15 Energetic Macroscopic Representation «Three-Wheel Roadster Model»

- Three-Wheel Roadster Model - OBJECTIVES: SCs pack + High energy Li-Ion cells pack; fully-active parallel topology 7

- Three-Wheel Roadster Model using EMR approach - 8 Bat v Bat v SCs SCs

- Three-Wheel Roadster Model using EMR approach - 9 Bat v Bat v ch_bat v SCs SCs v ch_scs

- Three-Wheel Roadster Model using EMR approach - 10 Bat v Bat v ch_bat m Bat i Bat v SCs SCs v ch_scs m SCs i SCs

- Three-Wheel Roadster Model using EMR approach - 11 v Bat Bat v ch_bat i Bat m Bat i C i ESS v SCs i SCs SCs v ch_scs m SCs i t

- Three-Wheel Roadster Model using EMR approach - 12 v Bat Bat v ch_bat i Bat m Bat i C i ESS T em F tr v EV v SCs i SCs Env. SCs v ch_scs m SCs i t T em_r m v EV F env.

- Three-Wheel Roadster Model _ Traction System Model - 13

- Three-Wheel Roadster Model _ DC-DC Converters and ESS Model - 14 or

EMR 15 Lille June 2015 Summer School EMR 15 Energetic Macroscopic Representation «Control and Management Strategy»

- Three-Wheel Roadster Model _ Maximum Control Structure - 16 Tuning paths: Objective 1 Control the velocity of the EV; Objective 2 Keep constant handling on and. v Bat Bat v ch_bat i Bat m Bat i C i ESS T em F tr v EV v SCs i SCs Env. SCs v ch_scs m SCs i t T em_r m v EV F env.

- Three-Wheel Roadster Model using EMR approach - 17 Tuning paths: Bat v Bat v ch_bat i Bat Objective 1 Control the velocity of the EV; Objective 2 Keep constant handling on and. m Bat v ch_bat_r i C i ESS T em F tr v EV v SCs i SCs Env. SCs v ch_scs i t T em_r m v EV F env. m SCs _r i C_r T gb_r F tr_r v EV_r v ch_scs_r _r i ESS_r _r K D strategy v SCs i t

- Three-Wheel Roadster Model _ Energy Management Strategy - 18 Fuzzy Logic Controller K D strategy v SCs i t

EMR 15 Lille June 2015 Summer School EMR 15 Energetic Macroscopic Representation «Simulation Results»

SoC [%] I SC [A] I Bat [A] Voltage [V] Power [kw] Speed [km/h] «EMR and Control of a Three-wheel Roadster with Hybrid - Simulation Results - 20 100 NEDC ref. Roadster 50 0 0 50 100 150 200 250 300 350 400 40 P dem P Bat P SC 20 0 0 50 100 150 200 250 300 350 400 120 110 100 V dcbus-ref V dcbus 90 0 50 100 150 200 250 300 350 400 300 200 100 0 I bat-ref I bat 0 50 100 150 200 250 300 350 400 200 I SCs-ref I SCs 0-200 0 50 100 150 200 250 300 350 400 100 50 SoC bat SoC SCs could be more accurate! Other H-ESS design 0 0 50 100 150 200 250 300 350 400 Time [s]

EMR 15 Lille June 2015 Summer School EMR 15 Energetic Macroscopic Representation «Conclusions»

- Conclusions - 22 An exhaustive analysis is expected to assess the drawbacks and advantages of this topology modification; A simulation of the overall system is made to define the power/energy requirements; Control and energy approaches for the studied prototype are proposed using the EMR approach; Specific characteristics of recreational products were addressed; Two connected intervention area could be evaluated using the same EMR model and control structure: 1) H-ESS design; 2) Energy strategy; Usability of more accurate models to answer others objectives; Future works will be based on reduced-scale prototype in a laboratory and after on real-scale prototype implementation.

EMR 15 Lille June 2015 Summer School EMR 15 Energetic Macroscopic Representation «BIOGRAPHIES AND REFERENCES»

- Authors - 24 Prof. João P. Trovão University of Sherbrooke, e-tesc, Canada PhD in Electrical Engineering at University of Coimbra, Portugal (2012) Research topics: EVs and HEVs, Batteries, Supercaps and Energy Management Email: Joao.Trovao@USherbrooke.ca E-TESC Lab: https://www.gel.usherbrooke.ca/e-tesc/index.htm Prof. Maxime DUBOIS University of Sherbrooke, e-tesc, Canada PhD in Electrical Engineering at Delft University, Netherlands (2004) Research topics: Electric Machines, Fly-Wheels, Power Electronics, EVs and HEVs Email: Maxime.Dubois@USherbrooke.ca E-TESC Lab: https://www.gel.usherbrooke.ca/e-tesc/index.htm

- References - [1] A. Bouscayrol, B. Davat, B. de Fornel, B. François, J. P. Hautier, F. Meibody-Tabar, E. Monmasson, M. Pietrzak-David, H. Razik, E. Semail, M. F. Benkhoris, Control Structures for Multi-machine Multiconverter Systems with upstream coupling, Mathematics and Computers in Simulation, vol. 63, n. 3-5, pp. 261-270, Nov. 2003. [2] A.-L. Allegre, A. Bouscayrol, R. Trigui, Flexible real-time control of a hybrid energy storage system for electric vehicles, IET Electrical Systems in Transportation, vol.3, n.3, pp.79-85, Sep. 2013. [3] J. P. Trovão, A. Bouscayrol, F. Machado, W. Lhomme, Hierarchical Management Structure of a Battery Supercapacitor System for EV Using Energetic Macroscopic Representation, 11th International Conference on Modeling and Simulation of Electric Machines, Converters and Systems, ElectrIMACS 2014, Valence, Spain, May 2014. [4] Trovao, J.P.; Machado, F.; Silva, M.A.; Neves de Melo, H., "Reduced-Scale Hardware-In-the-Loop Simulation to Study Several Hybridization Rates of Electric Vehicles," 2014 IEEE Vehicle Power and Propulsion Conference (VPPC), pp.1-6, Oct. 2014 [5] Nicolas Denis, Maxime R. Dubois, Renaud Dubé, Alain Desrochers, "Blended Power Management Strategy Using Pattern Recognition for a Plug-in Hybrid Electric Vehicle", International Journal of Intelligent Transportation Systems Research, Springer US, pp 1-14, Nov. 2014. [6] T. Letrouve, A. Bouscayrol, W. Lhomme, N. Dollinger, F.M. Calvairac, Different models of a traction drive for an electric vehicle simulation, 2010 IEEE Vehicle Power and Propulsion Conference, pp.1,6, Sep. 2010. [7] C. Depature, W. Lhomme, A. Bouscayrol, Teaching Electric Vehicle drive control using Energetic Macroscopic Representation, EVS 27, Barcelona, Spain, Nov. 2013. [8] Silva, M.A.; de Melo, H.N.; Trovao, J.P.; Pereirinha, P.G.; Jorge, H.M., "An integrated fuzzy logic energy management for a dual-source electric vehicle," 39th Annual Conference of the IEEE Industrial Electronics Society (IECON 2013), pp.4564-4569, Nov. 2013 25