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Title: Telematics and Data Science: Informing Energy-Efficient Mobility

Abstract

Fleets exploring the possibility of adding electric vehicles (EVs), battery electric vehicles (BEVs), and plug-in hybrid electric vehicles (PHEVs) seek an efficient, data-driven means to justify both expenditures for vehicle and charging infrastructure and the appropriate placement of them to help ensure the cost-effective adoption of these technologies. Exploring data collection and analytic methodologies across different telematics providers offers the opportunity to better understand the strengths, weaknesses, and possibilities for employing different methods of data collection, including smartphone-based telematics and more traditional telematics with hardware installed on a vehicle's onboard diagnostics port. This report presents results of five pilot programs that collected data from the operation of conventional light-duty fleet vehicles to generate recommendations for transitioning these fleet vehicles to EVs, implementing adequate charging infrastructure, and establishing management practices to maximize the benefits of these new fleet technologies.

Authors:
 [1];  [2];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. Sawatch Group, LLC
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1550789
Report Number(s):
NREL/SR-5400-73661
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; fleets; electric vehicles; EVs; charging infrastructure; data collection; telematics; light-duty fleets

Citation Formats

Sears, Edward B, Daley, Ryan, and Helm, Matthew. Telematics and Data Science: Informing Energy-Efficient Mobility. United States: N. p., 2019. Web. doi:10.2172/1550789.
Sears, Edward B, Daley, Ryan, & Helm, Matthew. Telematics and Data Science: Informing Energy-Efficient Mobility. United States. doi:10.2172/1550789.
Sears, Edward B, Daley, Ryan, and Helm, Matthew. Mon . "Telematics and Data Science: Informing Energy-Efficient Mobility". United States. doi:10.2172/1550789. https://www.osti.gov/servlets/purl/1550789.
@article{osti_1550789,
title = {Telematics and Data Science: Informing Energy-Efficient Mobility},
author = {Sears, Edward B and Daley, Ryan and Helm, Matthew},
abstractNote = {Fleets exploring the possibility of adding electric vehicles (EVs), battery electric vehicles (BEVs), and plug-in hybrid electric vehicles (PHEVs) seek an efficient, data-driven means to justify both expenditures for vehicle and charging infrastructure and the appropriate placement of them to help ensure the cost-effective adoption of these technologies. Exploring data collection and analytic methodologies across different telematics providers offers the opportunity to better understand the strengths, weaknesses, and possibilities for employing different methods of data collection, including smartphone-based telematics and more traditional telematics with hardware installed on a vehicle's onboard diagnostics port. This report presents results of five pilot programs that collected data from the operation of conventional light-duty fleet vehicles to generate recommendations for transitioning these fleet vehicles to EVs, implementing adequate charging infrastructure, and establishing management practices to maximize the benefits of these new fleet technologies.},
doi = {10.2172/1550789},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}

Technical Report:

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