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Document type:
Konferenzbeitrag 
Author(s):
Jens-Olav Jerratsch, Thomas Herzlieb, Stefanie Marker 
Title:
Using Secondary Data To Reduce Measuring Efforts In Naturalistic Driving Observation 
Abstract:
For advanced simulation of electric vehicle total energy consumption various parameters need to be considered. Mapping secondary data by time and location can help to reduce measurement efforts and enrich existing data. The methodology presented for ambient temperature mapping yields a mean difference of only 1.5 °C when compared to sensor acquired onboard data. Using TUB-FVB’s total vehicle energy simulation for a small commercial vehicle this leads to a mean deviation in consumption of only 0....    »
 
Keywords:
naturalistic driving observation, data logging economy, secondary weather data, energetic EV-simulation, CoFAT, FTM 
Book / Congress title:
Conference on Future Automotive Technology 
Year:
2018 
TUM Institution:
Lehrstuhl für Fahrzeugtechnik