Hybrid Electric Vehicles
Development Processes & Challenges
Dr. Olivier Imberdis, IAV France
Content
• Driving forces for alternative drive trains
• Classification & Potentials of HEV
• Impact on development processes
• Outlook
Content
• Driving forces for alternative drive trains
• Classification & Potentials of HEV • Impact on development processes
• Outlook
Availability of Oil
world wide oil production 1900 - 2050
Quelle: BGR 2004 accumulated oil convent. Oil Projection non conventional oil resources (oil shale, fat oil...)
1900 1925 1950 1975 2000 2025 2050 2075 2100 2125 2150 0 1 2 3 4 G t
Estimated Vehicles Count
vehicles on the road world wide until 2050
Africa
Latin America
Middle East
India
other asian states
China
East Europe
GUS
OECD Pacifik OECD Europa
OECD Nord Amerika 0 0,5 1 1,5 2 M ill ia rd e n 2000 2010 2020 2030 2040 2050
CO
2Emission Goals – Manufacturers penalties
between 5 and 25 € from 1 to 3 g/km
95 € per excess gramm over 3g/km
Manufacturer penalties
CO2 emissions with NEDC
80 100 120 140 160 180 200 1 9 9 5 1 9 9 6 1 9 9 7 1 9 9 8 1 9 9 9 2 0 0 0 2 0 0 1 2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 2 0 0 6 2 0 0 7 2 0 0 8 2 0 0 9 2 0 1 0 2 0 1 1 2 0 1 2 2 0 1 3 2 0 1 4 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 C O 2 e m is s io n s [ g /k m ] 0 20 40 60 80 100 120 1995 2000 2005 2010 2015 2020 v e h ic le r e s p e c ti n g C O 2 e m is s io n s [ % ]
CO2 ACEA target [g/km] Gasoline [g/km] Diesel [g/km]
Content
• Driving forces for alternative drive trains
• Classification & Potentials of HEV
• Impact on development processes
• Outlook
Classification & Potentials
Hybrid Systems Introduction
Classification
Potentials of HEV
... According to Topology
... Gasoline and Diesel
... Fuel Efficiency
Classification & Potentials
Hybrid Systems Introduction
Classification
Potentials of HEV
... According to Topology
... Gasoline and Diesel
... Fuel Efficiency
Parallel Hybrid
pure mechanical power transfer modification of operating point dependent on electric power numerous technical designs (Mild / Full Hybrid) possiblePower Split Hybrid
power transfer both mechanical and electrical strong modification of operating point possible biggest fleet based on hybrid electric vehicles from ToyotaSeries Hybrid
pure electrical power transfer complete modification of engine operating point possible application in electric vehicles as range extenderClassification based on Topology
Parallel Hybrid
Hybrid Systems Introduction
pure mechanical power transfer 1 electric machine is sufficient transmission needed several technical configurations• Mild / Full hybrid • torque addition
• single- / double-shaft
Advantages:
+ scaleable system regarding the electrical power
+ good efficiency chain
Disadvantages:
- regenerative braking depending on the technical configuration
- limited modification of ICE operating point
- limited power assist and regenerative braking by low power of the electric motor
Examples:
Power Split Hybrid
Hybrid Systems Introduction
power transfer both mechanical and electrical
minimum 2 electric machines eCVT function possible with planetary gear set installationAdvantages:
+ wide range of operating point adjustment
+ high regenerative braking rate
Disadvantages:
- partially unfavourable efficiency chain - by eCVT an ICE power support through
the electric motor required - High costs
Examples:
• biggest fleet based on hybrid electric vehicles from Toyota (in total 1 million hybrid vehicles sold)
• Toyota „Hybrid Synergy Drive“ (Prius) • „Lexus Hybrid Drive“ (LS 600h)
Series Hybrid
Hybrid Systems Introduction
pure electrical power transfer minimum 2 electric machines no transmissionAdvantages:
+ complete variable engine operating point + optimal operative strategy for fuel
efficiency and exhaust emissions possible
+ maximum regenerative braking
Disadvantages:
- efficiency chain with high losses (ICE, generator, EM)
- approx. 3x installed power needed for permanent full load
- high weight - high costs - package
Examples:
• Renault Kangoo Elect‘road (electric vehicle Kangoo Electri‘cite w/ Range Extender) • PML Flightlink Mini QED (4x 120kW
Power Split (front) Parallel Hybrid (front) conventional Fuel efficiency 0 + + Acceleration 0 + + Comfort 0 +
++
Electric power 0 100% Approx. 300%
Costs 0 -
-Source: according to M.Lehna (AUDI)
Comparison Full Hybrid Systems
Classification & Potentials
Hybrid Systems Introduction
Classification
Potentials of HEV
... According to Topology
... Gasoline and Diesel
... Fuel Efficiency
Hybrid Powertrain Functionality
Hybrid Systems Introduction
S o u rc e : a c c o rd in g t o F o rd
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M
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H
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Full regenerative braking Power assist (boost) Stall protection
Torque smoothing High speed cranking Comfort cranking
Minimal regenerative braking Electric accessory drives
Full power assist / electric drive Operating point modification
Classification & Potentials
Hybrid Systems Introduction
Hybrid Systems
Potentials of HEV
... According to Topology
... Gasoline and Diesel
... Fuel Efficiency
Comfort / Safety
Potentials
Hybrid Systems Introduction
Extended Dynamics
Environment
Increase in driving dynamics through boost function Torque Vectoring / enhanced heavy terrain drivability Fuel efficiency, reduced CO2 emissions Improved NVH behaviour Zero-emission and driving in congested areas Increase of HVAC comfort (A/C by standstill) Reduced NVH emissions Off-board-supply of electrical devices Active support of vehicle stability control systems (electric braking, torque vectoring)Potentials
Hybrid Systems Introduction
Development and integration of new components and technologies for the automobile industryElectric motors, batteries, power electronics, etc.
Innovative cross-linked powertrain control strategies
Further development of the conventional gasoline and diesel ICE (downsizing, selective operating points) Energy management On-demand control of the accessory drives through electrification Efficiency improvement of the electric power generation for the electric loads Realisation of 4WD without transfer gear, differential, drive shafts (e4WD)City traffic (congested) City traffic (flowing) Overland/ Highway
Gasoline vs. Diesel Hybrids
Hybrid Systems Introduction
Increase in fuel efficiency in comparison to conventional gasoline powertrain
Source: GM b e tt e r Diesel Hybrid Diesel conventional Mild-Hybrid
with gasoline ICE
V e h ic le s p e e d
Time Time Time
Full-Hybrid with gasoline ICE Power Split-Full-Hybrid with optimised ICE
Parallel Mild Hybrid without optimised ICE Depending on hybrid concept, ICE optimisation and driving cycle
Parallel Full-/ Mild-Hybrid with
Content
• Driving forces for alternative drive trains • Classification & Potentials of HEV
• Impact on development processes
• Outlook
Selection of Architecture
Simplified Proceeding
IAV analysis
Architecture Topology Selection customer requirement e.g.
• power
• distance of operation • noise
• cost
• identification of possible powertrain configurations (of the shelf)
• decision matrix setup considering boundary conditions
• e.g. serial, parallel,
• identify effort of modification
• e-cvt 1-mode, two-mode, combined parts
Performance
Topology
Functionality
Analysis • % fuel saving • functions • …Selection of Architecture
Simplified Proceeding IAV analysisDatabase
Simulation /
Velodyn
Process
• technology / supplier choice based on database
•proof of selected concept through simulation (performance targets, ... )
•iteration step if needed
•modification of chosen off the shelf system by
Hybrid Specific Demands
Safety
Standards and
regu-lations also applicable
for Hybrid Electric
Vehicle
ISO 26262 EN 61508 R100 •High Voltage isolation monitoring active dischargetouch protection design
•Torque
securisation of all driver demands vs. actual torque
•Functional X - by wire etc
Content
• Driving forces for alternative drive trains • Classification & Potentials of HEV
• Impact on development processes
• Outlook
Simulation benefits
• Early prediction of the dynamic behavior
• Large modeling know-how for specific fields of application
• Covers almost every domain
• Decreases the needs of physical prototypes • Shortens the overall development time
Motivation
Simulation in the development process
Source: IAV
Challenges related to Hybrid technology
• Increases the powertrain complexity
• New opportunities for powertrain architecture • Advanced control functions for energy
management and traction optimization
Objective: develop a cross-operating numerical solution to investigate the entire vehicle performance offered by complex hybrid strategies
Continuous Use of Simulation
Simulation in the development process
Integration into the product development process
• Support of the project decision phases • Functions validation and testing
• CiL and HiL simulation • Debugging support Concept selection Requirements specifications Design specifications Realization Testing phase Prototypes
Phases of the development process
Requirements on the simulation concept
• Be fully configurable and standardized • All the components or modules
developed should be easy to combine • Clear separation between physical models and control units models
• Possibility to simulate the function of each component on its own as well as in
Missions of the Simulation Approach
Simulation in the development process
Concept studies of E-machine, converter, battery
Reduction of losses of the mechanical components
Demand controlled auxiliaries (Thermal management, X-by-Wire)
Operating strategy
Synchronization of ICE and electric drive operation
Energy management and energy recovery
Topology studies
Engine concept
Torque investigations
Fuel consumption, Emissions
Powertrain Concept
Electrical Concept & Auxilliaries
Powertrain & Energy Management ANALYSE
DESIGN
TEST EARLY
Modular & Flexible Simulation Strategy
Simulation in the development process
Model Based design
• Possible Cooperation work in components modelling • Modularity and potential of reuse
• High reactivity to updates
• Easy maintenance of complex systems
VeLoDyn - Vehicle Longitudinal Dynamics
Increased Complexity
Modelling of any type of powertrain
• Any powertrain architecture can be modelled (front wheel drive, 4x4, serial hybrid, parallel hybrid, …)
Variable modelling level
• Level of components details Trade off between simulation / development speed and accuracy of results
Description of a Simulation-Based Decision Process
Simulation in the development process
Backward
Backward simulationsimulation
Customer Customer needs needs Mission profiles Mission profiles Powertrain
Powertrain designdesign
Powertrain
Powertrain first first sizingsizing
Forward
Distributed Simulation for System Investigations
Simulation in the development process
Distributed Simulation Concept
• Linking domains of chassis and powertrain control
• Consideration of lateral dynamics in HEV powertrain development
• Use of non-local SW-licenses • Reduction of computation time by
distributed simulation
• Use of each simulation tool's native environment
• Function development for global chassis control
• Integration of electrical components into HEV powertrains
Powertrain model
• detailed Powertrain model representing hybrid architecture and contains operational strategy
• detailed vehicle chassis model
• detailed environmental description including a maneuver controller for longitudinal/lateral maneuver setup
veDYNA Vehicle model
• detailed vehicle chassis model
• detailed environmental description including a maneuver controller for longitudinal/lateral maneuver setup
veDYNA veDYNA Vehicle model Use of EXITE-ACE as co-simulation tool to connect IAV-powertrain model VeLoDyn and common handling simulation tool veDyna
Integration tool
Tool adapter for MATLAB®, Simulink®, Real-Time Workshop®; TargetLink, ASCET, Dymola, Rhapsody® in C, Rapsody® in C++, C/C++ …
Use of EXITE-ACE as co-simulation tool to connect IAV-powertrain model VeLoDyn and common handling simulation tool veDyna
Integration tool
Use of EXITE-ACE as co-simulation tool to connect IAV-powertrain model VeLoDyn and common handling simulation tool veDyna
Integration tool
Tool adapter for MATLAB®, Simulink®, Real-Time Workshop®; TargetLink, ASCET, Dymola, Rhapsody® in C, Rapsody® in C++, C/C++ …
Content
• Driving forces for alternative drive trains • Classification & Potentials of HEV
• Impact on development processes
• Outlook
• Simulation as a continuous development tool
Hybridization & impact on stability
Content
• Driving forces for alternative drive trains • Classification & Potentials of HEV
• Impact on development processes
• Outlook
• Simulation as a continuous development tool
Hybridization & impact on stability
Powertrain Hybridization – Impact on Stability
Torque distribution with E-machine integration
1. Propulsion mode
Applying / superimposing drive torque 2. Generator mode
Applying / superimposing drag torque
3. Combined operations with at least 2 E-machines
Power transfer between axles and wheels (directly or battery buffered)
E-machine potential operating modes:
Powertrain Hybridization – Impact on Stability
Integration of E-machines in conventional powertrains
Fundamental system characteristics:
Maintain the speed / torque coupling between axles (wheels)
The effect of the regeneration process is similar to an additional drag torque
ASR/MSR brake interventions always act on both axles
Remark:
Fundamental system characteristics:
No mechanical coupling between axles or wheels!
Possible superimposition of wheel individual (failure-) regeneration torque
ASR/MSR brake interventions not automatically distributed on both axles
Challenges:
Safety relevant aspects related to torque distribution
Consideration of all potential failures and associated failsafe modes
Powertrain Hybridization – Impact on Stability
Powertrain Hybridization – Impact on Stability
Potential Hybrid strategy
• Battery charging during normal driving • Basic Recuperation
(engine drag torque superposition) • Brake recuperation (system blending). • Transmission shift support (boost) • Driving with E-machine only
• 4WD-strategy and rear axle boost
Virtual AWD Battery buffered
• Safety strategy for:
– Driving with E- machine in a “fail-safe“ mode – Erroneous Torque set-point / sign
– Slip intervention (ASR/MSR) – ESC and ABS intervention
Powertrain Hybridization – Impact on Stability
Simulation settings for a real 3D track definition
3D-Two-Lane Alpe d’Huez road profile Vehicle
parameterization
Advanced driver settings and road conditions
The representativity of the model needs to be verified through
comparison with physical data
Validation process
Vehicle Model w/ lateral dynamics consideration
Detailled modelling of chassis kinematics, driver reaction and road definition.
Powertrain Hybridization – Impact on Stability
Validation process
Vehicle system tests & validation
Tests definition according to driving manoeuvres for qualitative and
quantitative evaluation (standards, customer specific, certification criteria)
Networking and diagnostics tests
Mechanical and parametrical calibration
Data base management w/ self-developed tools (IAV CalGuide)
Various high-end measuring systems and robotics
Trained and experienced test & calibration engineers
Powertrain Hybridization – Impact on Stability
Powertrain Hybridization – Impact on Stability
Simulation settings for a real 3D track definition
3D-Two-Lane Alpe d’Huez road profile
• Front and rear E-Machine scaled from longitudinal optimization
• Driver used form veDyna except gear shifting
• All hybrid functions enabled • SOC at start: 70 %
• 4WD torque split strategy:
1. As much as possible with front axle, then add rear axle 2. Permanent 4WD support SOC dependent • ASR on Vehicle parameterization Advanced driver settings and road conditions
Powertrain Hybridization – Impact on Stability
Vehicule behavior while regenerative braking
160 seconds on the road
MSR / ESC off
Content
• Driving forces for alternative drive trains • Classification & Potentials of HEV
• Impact on development processes
• Outlook
• Simulation as a continuous development tool Hybridization & impact on stability
Enhanced driving dynamics through Torque-Vectoring
Rear axle differential with active torque distribution
MRad
Understeering driving behavior without active torque distribution
Active longitudinal and lateral torque distribution
Positive effect on
• Traction
• Critical cornering speed • Self-steering response
• Handling and cornering characteristics • Agility
• Yaw damping / yaw boosting • Reducing brake intervention
Enhanced driving dynamics through Torque-Vectoring
Rear Axle differential with active torque distribution
Open differential
Wheel-specific torque vectoring
• Existing engine/transmission configurations (MT, AMT, DCT, CVT, AT) can be carried over • Rear-axle module: supplier add-on
Integration of two electric machines in the
differential casing Control
Compact electric machines
Using a suitable storage system
• Parallel hybrid
• Improved longitudinal dynamics • Avoidance of traction interruption
Energy storage
Optional for hybrid capability
Enhanced driving dynamics through Torque-Vectoring
Torque-Vectoring functionality µ low 1000 N 350 Nm 350 Nm i = 4 175 NmMoving off with µ-split
µ high
1000 N
Mechanical torque
transmission superimposed by electrical power flow when necessary
TV torque of 700 Nm for • optimizing traction
• influencing transverse dynamics independently of drive torque
350 Nm 350 Nm 350 Nm Generator mode E-machine mode 350 Nm +700 Nm 1000 N +2000 N 175 Nm +175 Nm
Enhanced driving dynamics through Torque-Vectoring
Simulations results of lateral dynamics ISO 4138
Steady-state skid-pad driving R = 100 m (test to ISO 4138) E -m a c h in e t o rq u e l e v e ls S te e ri n g a n g le
area of optimizing control linearization gain approx. 30% lateral acceleration gain approx. 5% 2 x 350 Nm 2 x 230Nm Self-steering response impact predictable driving
behavior also on upper lateral acceleration
increase the speed of cornering
possibility to
recuperate transversal dynamics energy
possibility to realize a lane keeping system
Steer. angle w/o el. hyb. Powertrain Steer. angle w/ el. hyb. powertrain Torque, left
Enhanced driving dynamics through Torque-Vectoring
Simulations results of lateral dynamics ISO 7401
Step steering-angle change from 0 to 50°(300°/s at 80 km/h, test to ISO 7401) E -m a c h in e t o rq u e l e v e ls Y a w r a te Time ½ steering angle Steering angle Overshoot reduced from
13% to approx. 2%
area of optimizing control
peak response time reduced by approx. 30%
Driving dynamics impact
low response time by fast actuator speed (~10 ms)
enhancement of steering response (yaw rate gain)
reduction of undesired yaw rate response (yaw rate damping)
reduction of body motion
Yaw rate w/o el. hyb. powertrain Yaw rate with el. hyb. powertrain Torque, left
Enhanced driving dynamics through Torque-Vectoring
Simulations results of lateral dynamics FMVSS 126
Sine with dwell for 6.5xA (test to FMVSS 126) Driving stability impact impact of tracking stability vehicle stabilization without braking increase of driving dynamics by pre controlled intervention T ra n s v e rs a l d e fl e c ti o n Y a w r a te v s . m a x. . Y a w r a te Oversteer criterion Understeer criterion Steering input in e t o rq u e l e v e ls Y a w r a te S te e ri n g a n g le l Time
Yaw rate response
Yaw deflection
Yaw rate w/o el. hyb. powertrain Yaw rate w/ el. hyb. powertrain Torque, left
Torque, right
position w/o el. hyb. powertrain position with el. hyb. powertrain
w/o el. hyb. powertrain with el. hyb. powertrain
Enhanced driving dynamics through Torque-Vectoring
Combined system layout optimisation
Installed Total Torque in Nm
Y a w r a te d e v ia ti o n (a b s .) 2 x 20kW 2 x 30kW Consumption potential from
longitudinal dynamics
Influence of additional torques for stabilizing potential Based on: FMVSS 126 at max. steering angle amplification
Advantages of Simulation (Co-Simu)
• supports every phase of the development process • covers all levels, from component to system
• functional development support and testing • hybrid strategy verification (torque distribution, regeneration…)
• influence of HY specific functions on vehicle stability • supports safety analysis and failsafe modes definition
Simulation in the Development Process of Hybrid
Powertrains
Characteristics of the simulation concept
• Fully configurable and standardized
• Easy combination of all the components or modules developed
• Clear separation between physical models and control units models
• Possibility to simulate the function of each component on its own as well as in the overall vehicle
Content
• Driving forces for alternative drive trains • Classification & Potentials of HEV
• Impact on development processes
• Outlook
Perspectives in HEV Technologies
Ultimate Obejctive: Zero Emission
What kind of vehicle do I need?
PEV readiness report by Roland Berger Consulting:
„…cities and other stakeholders should educate and prepare consumers to accelerate PEV transition from niche toy of the elite to mass market…”
Individual mobility perspective:
„lease / rent by actual need“
Perspectives in HEV Technologies
Driving range distribution
Estimation of the daily average range
Perspectives in HEV Technologies
Ultimate Obejctive: Zero Emission
Driving Range?
Energy supply network?
Perspectives in HEV Technologies
Ultimate Obejctive: Zero Emission
Driving Range?
Energy supply network?
Costs of ownership?
How to support E-mobility expansion on the market?
Perspectives in HEV Technologies
Status & IAV‘s vision
CO2emission
baseline
Conventional
Luxury & SUV
Class E, F
Compact & medium vehicles
Class B, C, D
Urban vehicles
Class A 100
0
Target Pure EV - Electric Vehicles
Requires significant changes in energy storage technologies (i.e. batteries) and / or charging technology and infrastructures
Full electric * T a n k to w h e e l 100%* Micro-hybrid Mild-hybrid Full-hybrid Double drive Full-hybrid Single shaft Parallel HEV 4-10% 10-20% 20-50% 20-40%
Stop & Start
E-axle Integrated
e-machine BISG
Perspectives in HEV Technologies
Status & IAV‘s vision
CO2emission baseline Full electric Conventional * T a n k to w h e e l
Luxury & SUV
Class E, F
Compact & medium vehicles
Class B, C, D Compact vehicles Class B, C Urban vehicles Class A 100 0 Micro-hybrid Mild-hybrid Full-hybrid Double drive Full-hybrid Single shaft 100%* Parallel HEV Range Extender Series HEV 50-90%* Plug-in
Serial hybrid plug-in architecture: Two mission profiles :
Long range application
Urban application 4-10% 10-20% 20-50% 20-40%
Stop & Start
E-axle Integrated
e-machine BISG
Merci
Olivier Imberdis
IAV France
70-80 Rue des Champs Philippe - 92250 La Garenne-Colombes 4 Rue Guynemer - 78280 Guyancourt