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8/14/2019 Methods to Determine Robust Innovation Paths for Electric Vehicle Technology
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Subject:Technologies increasing theendurance/autonomy of BEVs(Battery Electric Vehicles).-Range extenders-Flow batteries (redox batteriesas one variant)-Quick exchange of batteriesMethod:Mapping the innovation:Enumerating the influencing
factorsAssessing: In-depth research ofacceptance via MCDA
The variants:The range extenders and flow batteries still needtechnological research clarifying the operationalcharacteristics of an industrialised concept before arobust assessment may be conducted.
The results:Battery Exchange BE will have much betteracceptance by the environment relying on well knowntanking stops
BE battery vehicle interfaces - if generic - aremore complex compared to the charginginterface
Dynamic: Technological Competitors (created byincentives) may push viable alternativesrendering the BE business model obsolete
Timehorizon/Method
Technological
Analysis
Procedural
Factors
Economic
Analysis
PresentState ofthe art
Influenceanalysis
State ofthe art
FutureForesightanalysis
Scenariosinfluenceanalysis
Scenarios
More on alternative fuel policies: www.alter-motive.org
Fighting global warming
Willingness to switch to BEVs
Investment burden (car buyers)
Operational cost (users)
Willingness to add BEV to the fleetPreferences consumers
Production know how
light range extenders
Energy density batteriesTechnological know how
BEVs running in the streetReference/show case
Emission-based access restrictions
Other incentives (priority)
Purchase subsidies
Vehicle taxation
Emission depending road usage feesLegal & policy framework
Needed grid capacity
Available parking space
Local economic value addedSwitching ability
Low vehicle weightVehicle downsizing
Autonomy/range
Modularity of the vehicles
Market abilityProduct differentiation
Theoretical demand BEVs
Investment demand infrastructure
Resources needed batteries
Standards needed
Competitive supplier marketEconomy of scale
FactorHurdle
Methods to Determine Robust InnovationPaths for Electric Vehicle Technology
Dipl. Ing Gerfried CebratAustrian Mobility Research 8010 Graz Email: [email protected]
The sole responsibility for the content of this publication lies with the authors. It does not necessarily reflect the opinion of the EuropeanCommunities. The European Commission is not responsible for any use that may be made of the information contained therein.
Supported by:
8/14/2019 Methods to Determine Robust Innovation Paths for Electric Vehicle Technology
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Paradigm Change in AutomotivePropulsion Train Engineering
DI Gerfried Cebrat Energie- und Umweltconsulting jointly with FGM
A project funded by the A3 programme, initiated by the Austrian Ministry forTransport, Innovation and Technology bmvit, managed by the FFG
Target: Enumerate disruptive changes with powertrains through technological innovation
Assess inovative concepts in multipledimensions
BEVBattery electric vehicles ICE Internal Combustion Engine EDLC Electric Double Layer Capacitor
COG Centre Of Gravity
Ranking of Technologies:
Paradigm Changewith regards toICE Engineering
Future BEV TechnologiesRequirements forBEV Engineering
Priority with system
health not comfort
Surface aestheticsfollows function
User will islimited by the
system
No heat excessbecause no ICE
Use of environ-mental energy
Cost
optimisation
Flexible
power trains
Vehicle and powertrain are separatedetachable units
Spacelimitations
Integration needssupersede
COG optimisation
Priority based heat
management(defogging- defrosting
battery life contact heat air temperature)
Heat storageand exchange
between systems
Thermal heatcollectors
Operational motorstress control
Exchangeabletanks for
range extenders
Tilting powertrain
Structure integratedEDLC
Scalable numberof battery cells
Undockable(rolling)
range extenders
Operational batterystress control
Iron freemachines allow
for low COG
Photovoltaic integrationinto surfaces
Switched cooling
Foresight
driving control
Project Partners: Energie und Umwelt Consulting DI-Gerfried Cebrat Forschungsgesellschaft Mobilitt AustrianMobility Research gemeinn. GmbH., Subcontractor
Time scale
Usabilityhurdles
Tilting power trainIron freemachines allow
for low COGStructureintegrated EDLC
Undockable(rolling)
range extenders
Exchangeable
tanks forrange extenders
Scalable numberof (exchangeable) battery cells
Foresightdriving control
Priority based heatmanagement (BEV)
Heat storageand exchange
between systems
Thermal heatcollectors
Operational motorstress control
Operational batterystress control
Photovoltaic inte-gration into surfaces
Switched cooling
Foresightdriving assist
The sole responsibility for the content of this publication lies with the authors. It does not necessarily reflect the opinion of the bmvit/FFG.The bmvit/FFG is not responsible for any use that may be made of the information contained therein.