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Tang, Li.

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Optimal Energy Management Strategy for Hybrid Electric Vehicles with Consideration of Battery Life.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimal Energy Management Strategy for Hybrid Electric Vehicles with Consideration of Battery Life./
Author:	Tang, Li.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	233 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
Contained By:	Dissertation Abstracts International78-11B(E).
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10626892
ISBN:	9781369980974

Optimal Energy Management Strategy for Hybrid Electric Vehicles with Consideration of Battery Life.
Tang, Li.

Optimal Energy Management Strategy for Hybrid Electric Vehicles with Consideration of Battery Life. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 233 p.

Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.

Thesis (Ph.D.)--The Ohio State University, 2017.

The dissertation offers a systematic analysis on the interdependency between fuel economy and battery capacity degradation in hybrid electric vehicles. Optimal control approaches including Dynamic Programming and Pontryagin's Minimum Principle are used to develop energy management strategies, which are able to optimally tradeoff fuel consumption and battery aging. Based on the optimal solutions, a real-time implementable battery-aging-conscious Adaptive Equivalent Consumption Management Strategy is proposed, which is able to achieve performance that is comparable to optimal results. In addition, an optimal control based charging strategy for plug-in hybrid electric vehicles and battery electric vehicles is developed, which minimizes battery capacity degradation incurred during charging by optimizing the charging current profile. Combining a generic control-oriented vehicle cabin thermal model with the battery aging model, the benefit of this strategy in terms of decreasing battery aging is significant, when compared with the existing strategies, such as the widely accepted constant current constant voltage (CC-CV) protocol. Thus this dissertation presents a complete set of optimal control solutions related to xEVs with consideration of battery aging.

ISBN: 9781369980974Subjects--Topical Terms:

649730
Mechanical engineering.

Optimal Energy Management Strategy for Hybrid Electric Vehicles with Consideration of Battery Life.
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500 $a Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
500 $a Adviser: Giorgio Rizzoni.
502 $a Thesis (Ph.D.)--The Ohio State University, 2017.
520 $a The dissertation offers a systematic analysis on the interdependency between fuel economy and battery capacity degradation in hybrid electric vehicles. Optimal control approaches including Dynamic Programming and Pontryagin's Minimum Principle are used to develop energy management strategies, which are able to optimally tradeoff fuel consumption and battery aging. Based on the optimal solutions, a real-time implementable battery-aging-conscious Adaptive Equivalent Consumption Management Strategy is proposed, which is able to achieve performance that is comparable to optimal results. In addition, an optimal control based charging strategy for plug-in hybrid electric vehicles and battery electric vehicles is developed, which minimizes battery capacity degradation incurred during charging by optimizing the charging current profile. Combining a generic control-oriented vehicle cabin thermal model with the battery aging model, the benefit of this strategy in terms of decreasing battery aging is significant, when compared with the existing strategies, such as the widely accepted constant current constant voltage (CC-CV) protocol. Thus this dissertation presents a complete set of optimal control solutions related to xEVs with consideration of battery aging.
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