1. CO2 Effect on WLTc Phase weighting.
BMW Group, Dr. Christoph Mayer, Dr. Andreas Eder
CO2 Effect on WLTc Phase weighting.
Comparison WLTP DB with BWM Customer Data.

2. Representative vehicle and market specific customer group
BMW Customer Data.
Customer selection and Data acquisition.
Customer survey
Customer selection
Customer alignment
Representative vehicle and market specific customer group
Interview
Data recording / analysis
Parameters of this study:  9 Vehicle-Types (7 Ger, 1 Fr, 1 UK) in all BMW relevant segments
161 customers / vehicles
overall mileage 1.25 Mio km

3. BMW Group data show higher average distance per day.
WLTC
In consideration of all available data, WLTP DB represents a robust average of speed and driven distance per day.

4. BMW Group data show higher average speeds and less stop percentage.
WLTC 5.3
In consideration of all available data from different OEMs, WLTC 5.3 without phase weighting represents a robust average of stop percentage and average speed.

5. BMW Group data show higher average speeds and less stop percentage.
75/25* *
60/40*
WLTC 5.3
40/60*
25/75*
In consideration of all available data from different OEMs, WLTC 5.3 without phase weighting represents a robust average of stop percentage and average speed.

6. WLTC 5.3 generates a representative CO2 value.
Counter Proposal
Alternative 1
Alternative 2
Closest to BMW data
CO2 impact does not justify disharmonization due to phase weighting.
Recommendation: Same weighting of all four WLTC phases.