Data Management for Geographically and Temporally Rich Plug-in Hybrid Vehicle “Big Data”

Abstract

SummaryThe Electric Power Research Institute (EPRI) and its project partners have developed some of the highest resolution and most complete Light-and Medium-Duty Plug-in Hybrid Electric Vehicle Truck operational data for Odyne and Via trucks. This data was collected through a CDMA / GMS transmitter plugged into the CAN communication bus of the fleet. This paper discusses the process of transforming these raw datasets into a scientific database of driving and charging events using data quality management, filtering, processing and decision support tool development. The result is a dataset with demonstrable utility for vehicle design, policy analysis, and operator feedback.