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contributor authorLorenzo Serrao
contributor authorGiorgio Rizzoni
contributor authorSimona Onori
date accessioned2017-05-09T00:43:01Z
date available2017-05-09T00:43:01Z
date copyrightMay, 2011
date issued2011
identifier issn0022-0434
identifier otherJDSMAA-26550#031012_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/145716
description abstractThis paper presents a formalization of the energy management problem in hybrid electric vehicles and a comparison of three known methods for solving the resulting optimization problem. Dynamic programming (DP), Pontryagin’s minimum principle (PMP), and equivalent consumption minimization strategy (ECMS) are described and analyzed, showing formally their substantial equivalence. Simulation results are also provided to demonstrate the application of the strategies. The theoretical background for each strategy is described in detail using the same formal framework. Of the three strategies, ECMS is the only implementable in real time; the equivalence with PMP and DP justifies its use as an optimal strategy and allows to tune it more effectively.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles
typeJournal Paper
journal volume133
journal issue3
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4003267
journal fristpage31012
identifier eissn1528-9028
keywordsCycles
keywordsDynamic programming
keywordsHybrid electric vehicles
keywordsFuel consumption
keywordsBatteries
keywordsOptimization
keywordsVehicles AND Optimal control
treeJournal of Dynamic Systems, Measurement, and Control:;2011:;volume( 133 ):;issue: 003
contenttypeFulltext


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