MECA0500: PLUG-IN HYBRID ELECTRIC VEHICLES. DESIGN AND CONTROL. Pierre Duysinx

Similar documents
PARALLEL HYBRID ELECTRIC VEHICLES: DESIGN AND CONTROL. Pierre Duysinx. LTAS Automotive Engineering University of Liege Academic Year

MECA0500: PARALLEL HYBRID ELECTRIC VEHICLES. DESIGN AND CONTROL. Pierre Duysinx

PERFORMANCE OF ELECTRIC VEHICLES. Pierre Duysinx University of Liège Academic year

Fundamentals and Classification of Hybrid Electric Vehicles Ojas M. Govardhan (Department of mechanical engineering, MIT College of Engineering, Pune)

Parameters Optimization of PHEV Based on Cost-Effectiveness from Life Cycle View in China

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

PHEV: HEV with a larger battery to allow EV operation over a distance ( all electric range AER)

INVENTION DISCLOSURE MECHANICAL SUBJECT MATTER EFFICIENCY ENHANCEMENT OF A NEW TWO-MOTOR HYBRID SYSTEM

Vehicle 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

Electric Mobility at Opel Strategy. Technology. The Ampera. Gerrit Riemer Adam Opel AG Director Future Mobility Mobilis 2012, Mulhouse

Modelling and Simulation Study on a Series-parallel Hybrid Electric Vehicle

Development of a Plug-In HEV Based on Novel Compound Power-Split Transmission

AUTONOMIE [2] is used in collaboration with an optimization algorithm developed by MathWorks.

Battery Evaluation for Plug-In Hybrid Electric Vehicles

ECEN5017 Lecture 10: HEV & Series HEV. HEVs and PHEVs

Accelerated Testing of Advanced Battery Technologies in PHEV Applications

A conceptual design of main components sizing for UMT PHEV powertrain

MECA0500: FUEL CELL - Part 2: Applications

Analysis of regenerative braking effect to improve fuel economy for E-REV bus based on simulation

Efficiency Enhancement of a New Two-Motor Hybrid System

Impact of Drive Cycles on PHEV Component Requirements

Deakin Research Online

MECA0500: HYBRID ELECTRIC VEHICLES. Pierre Duysinx

MODELING, VALIDATION AND ANALYSIS OF HMMWV XM1124 HYBRID POWERTRAIN

The Case for Plug-In Hybrid Electric Vehicles. Professor Jerome Meisel

PLUG IN PARALLEL HYBRID ELECTRIC VEHICLE OR HYBRID ELECTRIC VEHICLE

Future Lithium Demand in Electrified Vehicles. Ted J. Miller

and Electric Vehicles ECEN 2060

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

PROCEDURE FOR PROVIDING INFORMATION, ETC. ABOUT FUEL CONSUMPTION PERFORMANCE OF PLUG-IN HYBRID ELECTRIC VEHICLES. Kokujikan No. 86 of July 30, 2009

High Energy cell target specification for EV, PHEV and HEV-APU applications

Supercapacitors For Load-Levelling In Hybrid Vehicles

Course Syllabus and Information

EVS25. Shenzhen, China, Nov 5-9, 2010

Effectiveness of Plug-in Hybrid Electric Vehicle Validated by Analysis of Real World Driving Data

Ming Cheng, Bo Chen, Michigan Technological University

OPTIMORE Optimised Modular Range Extender for every day customer usage

Lithium-Ion Batteries for Electric Cars: Elena Aleksandrova Honda R&D Europe (Deutschland) GmbH Automobile Advanced Technology Research

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

Electric cars: Technology

2030 Battery R&D Roadmap for Hybridization and E-Mobility

Plug-in Hybrid Vehicles

STUDY OF ENERGETIC BALANCE OF REGENERATIVE ELECTRIC VEHICLE IN A CITY DRIVING CYCLE

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

Comparison of Powertrain Configuration Options for Plug-in HEVs from a Fuel Economy Perspective

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

EENERGY EFFICIENCY. German-Japanese Energy Symposium Lithium-Ion-Technology in mobile und stationary applications. February 10 th, 2011

Parallel Hybrid (Boosted) Range Extender Powertrain

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

Infraday: The Future of E-Mobility

Impact of Technology on Electric Drive Fuel Consumption and Cost

OPTIMAL POWER MANAGEMENT OF HYDROGEN FUEL CELL VEHICLES

Research Report. FD807 Electric Vehicle Component Sizing vs. Vehicle Structural Weight Report

MECA0500: HYBRID ELECTRIC VEHICLES. Pierre Duysinx

D6.5 Public report on experience & results from FCEV city car demonstration in Oslo

EVs and PHEVs environmental and technological evaluation in actual use

Design an Energy Management Strategy for a Parallel Hybrid Electric Vehicle

MECA0494 : Braking systems

Plug-in Hybrid Systems newly developed by Hynudai Motor Company

Vehicle Performance. Pierre Duysinx. Research Center in Sustainable Automotive Technologies of University of Liege Academic Year

Fuel Economy Potential of Advanced Configurations from 2010 to 2045

Performance Evaluation of Electric Vehicles in Macau

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

Convex optimization for design and control problems in electromobility

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

From materials to vehicle what, why, and how? From vehicle to materials

Influences on the market for low carbon vehicles

Consideration on the Implications of the WLTC - (Worldwide Harmonized Light-Duty Test Cycle) for a Middle Class Car

HyperHybrid. The efficient, affordable plug-innovation.

ECODESIGN BATTERIES FIRST STAKEHOLDER MEETING DRAFT TASK 3

Chapter 16. This chapter defines the specific provisions regarding type-approval of hybrid electric vehicles.

ANALYSIS OF THE IMPACT OF ELECTRIC VEHICLES ON PRIMARY ENERGY CONSUMPTION AND CARBON EMISSION ON NATIONAL LEVEL.

Early Stage Vehicle Concept Design with GT-SUITE

Investigation of CO 2 emissions in usage phase due to an electric vehicle - Study of battery degradation impact on emissions -

Using Trip Information for PHEV Fuel Consumption Minimization

Development of Motor-Assisted Hybrid Traction System

Ultracapacitors in Hybrid Vehicle Applications: Testing of New High Power Devices and Prospects for Increased Energy Density

Modeling and Analysis of Vehicle with Wind-solar Photovoltaic Hybrid Generating System Zhi-jun Guo 1, a, Xiang-yu Kang 1, b

HYDROGEN. Turning up the gas. Jon Hunt. Manager Alternative Fuels TOYOTA GB CCS HFC 2019

CHAPTER 7 ELECTRIC VEHICLE CHARGING FACILITIES

Real Driving Emission and Fuel Consumption (for plug-in hybrids)

An Energy Management Strategy for Plug-in Hybrid Electric Vehicles

FUTURE PROPULSION SYSTEM MIX AND ITS IMPACT ON AUTOMOTIVE PGM USAGE. Rahul Mital Technical Fellow Diesel Aftertreatment General Motors

Generator Efficiency Optimization at Remote Sites

IA-HEV Task 15. Plug-in Hybrid Electric Vehicles. Phase 1 Findings & Phase 2 Recommendations

WLTP Draft Annex 8 Electrified vehicles

Recent Trends in Transportation Technology as Hybrid-Electric Vehicle: A Review

The Electrification of the Vehicle and the Urban Transport System

The research on gearshift control strategies of a plug-in parallel hybrid electric vehicle equipped with EMT

New propulsion systems for non-road applications and the impact on combustion engine operation

Recent Developments in Electric Vehicles for Passenger Car Transport

ELECTRIFYING THE AUTOMOTIVE INDUSTRY. Robert Babik Director, Environment, Energy and Safety Policy General Motors Company

Flywheel energy storage retrofit system

SELECTION OF PROPULSION SYSTEMS FOR AUTOMOTIVE APPLICATIONS. Pierre Duysinx LTAS Automotive Engineering Academic Year

PHEV Operation Experience and Expectations

Hardware-in-the-loop simulation of regenerative braking for a hybrid electric vehicle

EV, fuel cells and biofuels competitors or partners?

PROGRESS OF BATTERY SYSTEMS AT GENERAL MOTORS. Manfred Herrmann Roland Matthé. World Mobility Summit Munich October 2016

Predictive Control Strategies using Simulink

Transcription:

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. «Automotive Handbook». 5th edition. 2002. Society of Automotive Engineers (SAE) C.C. Chan and K.T. Chau. «Modern Electric Vehicle Technology» Oxford Science Technology. 2001. C.M. Jefferson & R.H. Barnard. Hybrid Vehicle Propulsion. WIT Press, 2002. J. Miller. Propulsion Systems for Hybrid Vehicles. IEE Power & Energy series. IEE 2004. M. Ehsani, Y. Gao, S. Gay & A. Emadi. Modern Electric, Hybrid Electric, and Fuel Cell Vehicles. Fundamentals, Theory, and Design. CRC Press, 2005. 2

Outline Introduction Control strategies Maximum state-of-charge of peak power source strategy Engine on-off strategy Sizing of major components 3

Introduction In charge sustaining HEV, the net energy consumption of energy storage around a complete driving cycle is zero All propulsion energy comes from the fuel (gasoline, diesel, CNG in ICE or hydrogen in FC vehicles) The charge of the PPS fluctuates in a narrow window. The PPS size is determined by power rating rather energy storage capacity. PPS is rather an energy buffer so as the name Peak Power Storage (PPS). The function can be realized either by batteries or supercapacitors of fly wheels, or even better an optimized combination of these ones. 4

Introduction With the development of advanced battery technologies, the energy storage capacity of batteries has significantly improved. Using high energy batteries as peak power sources is a waste. Plug-in hybrid electric drivetrain is designed to fully or partially use the storage capacity of modern batteries. Energy storages are used to displace part of the primary chemical energy source (gasoline, diesel, CNG ) by electrical consumption from the network. Most of differences between energy storage of plug-in hybrid drivetrain wrt charge sustaining are in the drivetrain control strategy. 5

Statistics of Daily Driving Distance The amount of petrol fuel displaced from oil to utility electricity network stems mainly on the amount of electrical energy that be stored by recharge and so on: The battery / energy storage capacity; The total distance between two recharges; The daily driving distance; The electrical power usage profiles; The driving cycle profiles; The control strategy. 6

Statistics of Daily Driving Distance Daily driving distance distribution and cumulative factor (from Eshani et al., 2010) derived from 1995 US National Personal Transport Survey data. 7

Statistics of Daily Driving Distance The daily driving distance distribution and cumulative factor reveals that about half of the driving distance is less than 64 km per day. Designing a vehicle for a electric range of 64 km will have half of its driving distance in pure EV and so will lead to the same amount of oil displacement. Even with 32 km of electrical range, there is still a huge amount of oil that can be saved and substituted by electricity taken from the grid. 8

ENERGY MANAGEMENT STRATEGY Charge depleting mode (CD): an operation mode in which the SOC of the energy storage may fluctuate, but on the average decreases while driving. Charge sustaining mode (CS): An operation mode in which the SOC of the energy storage may fluctuate but on average is maintained a certain level while driving. All Electric Range (AER): After a full recharge, the total distance (km) driven electrically (engine off) before the engine turns on for the first time. Electric Vehicle Kilometers (EVKM): After a full recharge, the cumulative kilometers driven electrically (engine off) before the vehicle reaches the charge sustaining mode (CS). 9

ENERGY MANAGEMENT STRATEGY Charge depleting range (CDR): after a full recharge the total number of kilometers driven before the vehicles reaches charge sustaining mode (CS). The EVKM dictates pure electric driving. However CDR may include engine propulsion but on the average the SOC of the energy storage decreases till the sustaining level. PHEVxy: A PHEV with a useable energy storage equivalent to xy km of driving energy on a reference driving cycle. For instance PHEV20 can replace 20 miles/km equivalent of driving using oil by the same distance using electrical energy from the grid. PHEV20 for instance does not imply that the vehicle will achieve 20 km in AER, EVM or CDR on the reference driving cycle. 10

All Electric Range focused Control strategy The idea behind the AER control strategy is to use the energy of the battery storage intensively. One possibility possibility is to allow the driver to manually select between CS mode and full EV operating mode. Flexibility for the driver to determine where and when to use the pure EV mode. Useful for vehicles operating in regions where combustion engine is restricted e.g. low emission zone. Select pure EV mode just before entering low emission zones In other places, pure EV mode can be selected depending on the energy status of the battery storage and the power demand. 11

All Electric Range focused Control strategy In other driving conditions, one can select pure EV mode or Charge sustaining mode. Pure EV mode may be selected in the start of the trip to use fully the electric energy. AER control strategy divides the whole trip in two modes: pure EV and Charge Sustaining (CS). Possibility to reuse other design and control strategies developed for HEV and EV. 12

All Electric Range focused Control strategy For series hybrids, the power rating of the e-motor, the engine/ generator, the energy storage are almost the same as for CS hybrid. The e-motor power ensures the acceleration performance, the grade-ability and the top speed performance. The engine / generator power supports the vehicle driving at constant speed on flat and mild roads. The energy storage power should be larger that the power minus the engine/generator power. 13

All Electric Range focused Control strategy For parallel or series/parallel hybrids, the e-motor power should meet the peaking power demand of the reference driving cycles unless the vehicle will be somewhat sluggish compared to the driver s expectations. 14

All Electric Range focused Control strategy Calculation of component power requirement: Traction power needed at the wheels Account for drivetrain efficiency to size the output power of the e- motor The peaking power of the energy storage has also to consider the efficiency of the e-motor efficiency, of the power electronics, and the transmission. 15

All Electric Range focused Control strategy 16

All Electric Range focused Control strategy Integrating the electrical power consumption over the time will provide the energy consumption by the propulsion 17

All Electric Range focused Control strategy Appropriate driving cycles should be considered for the design. Aggressive driving cycle with large accelerations will need large motor drive and energy storages and will give rise to good vehicle acceleration and drive-ability performance Mild driving cycles will yield small motor power rating and energy storage but also the feeling to a have a sluggish vehicle performance. 18

All Electric Range focused Control strategy Simulation of typical passenger car on FTP75 driving cycle Masse m = 1700 kg Rolling resistance f RR = 0.01 Drag coefficient C D : 0.3 Frontal area S: 2.2 Rotational inertia factor: g=1.05 19

All Electric Range focused Control strategy Engine power vs travel distance in charge depleting mode against FTP75 driving cycle. Motor power vs travel distance in charge depleting mode. 20

All Electric Range focused Control strategy SOC of the energy storage and the remaining energy in the battery against the driving distance. Pure EV range is about 32 km Engine operation points on the engine map showing the specific fuel consumption at each time. 21

All Electric Range focused Control strategy Fuel and electric energy consumption. When the traveling distance is less than 4 driving cycles (42.5 km) the vehicle is completely substituted by electrical energy from the grid. With a reference travelling distance increasing the average oil substitution is reduced. For 9 driving cycles (96 km), the fuel consumption is about 3.2 l/100km and 7.42 kwh/100km 22

Blended control strategy The blended control strategy uses both the engine and the e- motor for traction with a Charge Depleting (CD) mode until the SOC of the battery reaches its specified low threshold. Beyond this point the vehicle will operate only in Charge Sustaining (CS) mode. In the charge depleting mode (CD), both engine and e-motor may operate at the time. The range before entering charge sustaining mode is longer that in pure EV mode. Control strategies are needed to control the engine and the e- motor and meet the power demand of the driver. There are many control strategies which are possible. 23

Blended control strategy Example of possible strategy to conduct the charge depleting mode. The engine and the motor alternatively propel the car with no battery charging from the engine. An engine operating area is defined. 24

Blended control strategy When the requested engine torque is larger than the upper torque boundary, the engine is controlled to operate on this boundary and the remaining torque is supplied by the electric motor When the requested engine torque is between the upper and lower boundaries, the engine alone propels the car 25

Blended control strategy When the requested engine torque is below the lower torque boundary, the engine is stopped and the tractive torque is supplied by the electric motor alone: In this way the engine operation is constrained within its optimal efficiency layer. Due to the absence of battery charging mode from the engine, the battery energy level will continuously fall down to its lower level. 26

Blended control strategy Engine power vs travel distance in charge depleting mode against FTP75 driving cycle. Motor power vs travel distance in charge depleting mode 27

Blended control strategy Engine operation points overlapping its fuel consumption map in the FTP75 driving cycle with charge depleting mode 28

Blended control strategy SOC of charge and the remaining energy in the battery vs travel distance in FTP75 driving cycles. In the following simulation, the useable energy is about 7 kwh. 29

Blended control strategy Fuel and electric energy consumption vs the number of FTP75 driving cycles and the travelling distance using charge depleting mode. Fuel and electric energy consumption vs number of FTP75 driving cycles and the traveling distance in CD mode. 30

Energy storage design Energy storage is one of the most important components in the plug-in hybrid vehicles. It is closely related to the vehicle performance, fuel consumption, fuel displacement, initial cost and operation cost. The most important parameters in the energy storage design are the storage energy and power capacities. 31

Energy storage design The total energy capacity is given by E usable : is the usable energy in the storage system consumed during the pure EV and the charge depleting mode (CD) SOC Top : the upper level of the SOC with fully charged energy storage (usually 1) SOC Bottom : the lower level of the SOC at which the operation mode is switched from pure EV or charge depleting (CD) mode to charge sustaining mode (CS) 32

Energy storage design The Depth of Discharge (DOD) of the batteries is closely related to their life. For one deep charge per day, a total of 4000+ deep charges would be required for a 10-15 year lifetime. With the characteristics of the given NiMH batteries 70% DOD for NiMH and 50% DOD for Li ions batteries would given the proper designs. 33

Energy storage design Finally, the power requirement of the battery is completely determined by the electric motor power rating This power level should be designed to work at low SOC such as 30% since the energy storage always works at this low SOC level in the charge sustaining mode. 34

Energy storage design The energy/power ratio of an energy storage is a good measure of suitability. The size of the energy storage will be minimized when its energy /power ratio equals the required one 35