Big Data Analysis of Battery Charge Power Limit Impact on Electric Vehicle Driving Range while Considering Driving Behavior

Paper #:
  • 2017-01-0239

Published:
  • 2017-03-28
DOI:
  • 10.4271/2017-01-0239
Citation:
Bryan, S., Guido, M., Ostrowski, D., and Ahmed, N., "Big Data Analysis of Battery Charge Power Limit Impact on Electric Vehicle Driving Range while Considering Driving Behavior," SAE Technical Paper 2017-01-0239, 2017, doi:10.4271/2017-01-0239.
Pages:
7
Abstract:
It is desirable to find methods to increase electric vehicle (EV) driving range and reduce performance variability of Plug-in Hybrid Electric Vehicles (PHEV). One strategy to improve EV range is to increase the charge power limit of the traction battery, which allows for more brake energy recovery. This paper applies Big Data technology to investigate how increasing the charge power limit could affect EV range in real world usage with respect to driving behavior. Big Data Drive (BDD) data collected from Ford employee vehicles in Michigan was analyzed to assess the impact of regenerative braking power on EV range. My Ford Mobile (MFM) data was also leveraged to find correlation to drivers nationwide based on brake score statistics. Estimated results show incremental improvements in EV range from increased charge power levels. Subsequently, this methodology and process could be applied to make future design decisions based on the dynamic nature of driving habits.
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