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Title: Vehicle Energy Management Optimization through Digital Maps and Connectivity

Abstract

There is an opportunity for using digital maps with real-time updates to improve the energy management of vehicles. In this paper, we present research on how this can be achieved in the particular case of plug-in hybrid electric vehicles. With perfect knowledge of the trip ahead, it is possible to find the optimal control of the vehicle. Digital maps, however, provide only averaged information about the future itinerary, such as locations of stops, types of intersection, and average speeds. First, we demonstrate how we can generate naturalistic speed profiles for a given itinerary. We do so by augmenting the information from digital maps by actual recorded speeds from a travel survey and Markov chains. Second, we detail how these speed profiles can be used for control optimization. We use the Pontryagin minimum principle to optimally tune the vehicle energy management and then evaluate the actual fuel savings using the Autonomie simulation tool.

Authors:
; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE) - Office of Vehicle Technology
OSTI Identifier:
1482384
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Conference
Resource Relation:
Conference: 22nd World Congress on Intelligent Transportation Systems, 10/05/15 - 10/09/15, Bordeaux, FR
Country of Publication:
United States
Language:
English
Subject:
Connectivity; Energy management; Hybrid Electric Vehicle; Optimization; PHEV

Citation Formats

Karbowski, Dominik, Sokolov, Vadim, and Rousseau, Aymeric. Vehicle Energy Management Optimization through Digital Maps and Connectivity. United States: N. p., 2015. Web.
Karbowski, Dominik, Sokolov, Vadim, & Rousseau, Aymeric. Vehicle Energy Management Optimization through Digital Maps and Connectivity. United States.
Karbowski, Dominik, Sokolov, Vadim, and Rousseau, Aymeric. Thu . "Vehicle Energy Management Optimization through Digital Maps and Connectivity". United States.
@article{osti_1482384,
title = {Vehicle Energy Management Optimization through Digital Maps and Connectivity},
author = {Karbowski, Dominik and Sokolov, Vadim and Rousseau, Aymeric},
abstractNote = {There is an opportunity for using digital maps with real-time updates to improve the energy management of vehicles. In this paper, we present research on how this can be achieved in the particular case of plug-in hybrid electric vehicles. With perfect knowledge of the trip ahead, it is possible to find the optimal control of the vehicle. Digital maps, however, provide only averaged information about the future itinerary, such as locations of stops, types of intersection, and average speeds. First, we demonstrate how we can generate naturalistic speed profiles for a given itinerary. We do so by augmenting the information from digital maps by actual recorded speeds from a travel survey and Markov chains. Second, we detail how these speed profiles can be used for control optimization. We use the Pontryagin minimum principle to optimally tune the vehicle energy management and then evaluate the actual fuel savings using the Autonomie simulation tool.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {10}
}

Conference:
Other availability
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