Methods to Determine Robust Innovation Paths for Electric Vehicle Technology

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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.