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iHorizon-enabled energy management f...

Martinez, Clara Marina.

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iHorizon-enabled energy management for electrified vehicles

Record Type:	Electronic resources : Monograph/item
Title/Author:	iHorizon-enabled energy management for electrified vehicles/ Clara Marina Martinez, Dongpu Cao.
Author:	Martinez, Clara Marina.
other author:	Cao, Dongpu,
Published:	Oxford, UK :Elsevier Ltd. : : 2019.,
Description:	1 online resource :ill.
Subject:	Electric vehicles. -
Online resource:	https://www.sciencedirect.com/science/book/9780128150108
ISBN:	9780128150115 (electronic bk.)

iHorizon-enabled energy management for electrified vehicles
Martinez, Clara Marina.

iHorizon-enabled energy management for electrified vehicles[electronic resource] /Clara Marina Martinez, Dongpu Cao. - Oxford, UK :Elsevier Ltd. :2019. - 1 online resource :ill.

Includes bibliographical references and index.

iHorizon-Enabled Energy Management for Electrified Vehicles proposes a realistic solution that assumes only scarce information is available prior to the start of a journey and that limited computational capability can be allocated for energy management. This type of framework exploits the available resources and closely emulates optimal results that are generated with an offline global optimal algorithm. In addition, the authors consider the present and future of the automotive industry and the move towards increasing levels of automation. Driver vehicle-infrastructure is integrated to address the high level of interdependence of hybrid powertrains and to comply with connected vehicle infrastructure. This book targets upper-division undergraduate students and graduate students interested in control applied to the automotive sector, including electrified powertrains, ADAS features, and vehicle automation.

ISBN: 9780128150115 (electronic bk.)Subjects--Topical Terms:

1613392
Electric vehicles.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TL220

Dewey Class. No.: 629.22/93

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504 $a Includes bibliographical references and index.
520 $a iHorizon-Enabled Energy Management for Electrified Vehicles proposes a realistic solution that assumes only scarce information is available prior to the start of a journey and that limited computational capability can be allocated for energy management. This type of framework exploits the available resources and closely emulates optimal results that are generated with an offline global optimal algorithm. In addition, the authors consider the present and future of the automotive industry and the move towards increasing levels of automation. Driver vehicle-infrastructure is integrated to address the high level of interdependence of hybrid powertrains and to comply with connected vehicle infrastructure. This book targets upper-division undergraduate students and graduate students interested in control applied to the automotive sector, including electrified powertrains, ADAS features, and vehicle automation.
588 0 $a Online resource; title from PDF title page (EBSCO, viewed September 18, 2018).
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