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

2017-01-0239

03/28/2017

Features
Event
WCX™ 17: SAE World Congress Experience
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2017-01-0239
Pages
7
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, https://doi.org/10.4271/2017-01-0239.
Additional Details
Publisher
Published
Mar 28, 2017
Product Code
2017-01-0239
Content Type
Technical Paper
Language
English