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Automotive CO2 Emissions Characterization by U.S. Light-Duty Vehicle Platform

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Title: Automotive CO2 Emissions Characterization by U.S. Light-Duty Vehicle Platform


1
Automotive CO2 Emissions Characterizationby U.S.
Light-Duty Vehicle Platform
  • John DeCicco, Feng An, Huiming Gong
  • Presentation at the TRB Annual Meeting
  • Washington, DC January 2005

Environmental Defense Energy and Transportation
Technologies, LLC
2
Overview
  • Objectives (why look at platforms?)
  • What is a platform?
  • Methodology and data sources
  • Platforms in the U.S. auto market
  • CO2 Emissions Characterizations
  • Explore variability within and across platforms
  • Compare platform efficiency estimates
  • Conclusions

3
Objectives
Why look at platforms?
  • Link CO2 emissions and related factors to the way
    production is organized.
  • Proliferation of nameplates and artificiality of
    the car-truck distinction makes traditional
    class-based analysis more difficult and less
    revealing.
  • Foundation for analyzing issues of part-scale
    production and staggered design change.
  • Provide a basis for assessing costs pertinent to
    production credits or similar incentives.

4
What is a Platform?
  • In general, a collection of manufacturing assets
    shared among different products.
  • Historically related to common chassis components
    and "hard points" for an assembly line.
  • Flexible manufacturing long since obviates need
    for fixed dimensions.
  • Platform ("architecture") now entails sharing of
    both "soft" and "hard" assets.

5
Platform Strategy as a Balancing Act
Maximizing the market benefits of product
differentiation
Minimizing costs througheconomies of scale
6
Data and Methodology
  • EPA NHTSA data for fuel economy, matched to
    trade (Ward's) platform data
  • Only up to 8,500 lb gvw, even though some
    platforms also include heavier models
  • Platforms are not always "well defined"
  • MY2002 sales, CY2002 platform production
  • early MY2003 models not counted in sales
  • Nominal, direct CO2 emissions based on 8.8
    kg/gal, 15 fuel economy shortfall
  • Diesel and AFV use assumed negligible (diesel
    LDV share was only 0.1 in MY2002 estimated FFV
    credits were backed out)

7
Top Platforms Ranked by U.S. Sales
Next 5 Ford Explorer, Honda Accord, Chevy
Trailblazer, Chrysler Voyager, Chevy Malibu
8
Platform Distribution by MY2002 Sales
9
Platform Distribution by MY2002 CO2 Emissions
10
Variability within a Platform
  • Factors of engines, of body styles, weight
  • Examples
  • GMT800 (Silverado, etc.)7 models, 5 engines, 3
    body stylesvariations 33 in disp, 26 in wt,
    23 in CO2
  • Dodge Dakota/Durango 2 models, 4 engine, 2 body
    stylesvariations 75 in disp, 31 in wt, 45 in
    CO2
  • Honda Odyssey / Acura MDX2 models, 1 engine, 1
    body stylevariations (0) in disp, 5 in wt, 6
    in CO2

Variation (Max-Min)/Mean sales-weighted
11
Typical Variations within a Platform
  • Weight, in general, varies least median 17
  • Greatest variation (26-35) in pickup platforms,
    which include body-on-frame SUVs
  • Engine displacement median variation 26
  • Greatest for compact pickups, with I4 - V8
    options
  • CO2 emissions rate median variation 20
  • Outlier is VW Jetta, with diesel 67 variation
  • For others, compact pickups show 45 variation

N.B. Drive type was not examined, but other
analysis indicates typical 10-15 CO2 impact for
4- vs. 2-WD.
12
Variability Across Platforms
  • Comparing platform averages (but remember the
    significant within-platform variability)
  • Examined
  • Power, specific power (HP/L)
  • Ton-MPG
  • Reciprocal of mass-normalized fuel consumption
  • Isolates non-mass-related aspects of efficiency
  • A good (but not perfect) index of powertrain
    efficiency

13
Platform average peak power vs. engine size
14
Ton-MPG Indeces for Selected Platforms
(identified here by representative models)
15
Ton-MPG vs. average platform weight
No correlation to weight (r -0.04)
Ton-MPGfor trucks only 5 lower than cars on
average
Some, but not all, large variations reflect
platform age ("dated"-ness)
16
Conclusions
  • Platform-level data enable analysis linked to how
    the industry manages production
  • Highest volume platforms contribute, by a modest
    margin, disproportionately to CO2
  • Top 30 ? 69 of sales, 72 of CO2 (MY2002)
  • Variability within and across platforms can
    reflect some opportunities for CO2 reduction
  • Newer platforms generally more "efficient"
  • Provides a baseline and foundation for several
    types of future analyses
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