contributor author | Lorenzo Serrao | |
contributor author | Giorgio Rizzoni | |
contributor author | Simona Onori | |
date accessioned | 2017-05-09T00:43:01Z | |
date available | 2017-05-09T00:43:01Z | |
date copyright | May, 2011 | |
date issued | 2011 | |
identifier issn | 0022-0434 | |
identifier other | JDSMAA-26550#031012_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/145716 | |
description abstract | This 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles | |
type | Journal Paper | |
journal volume | 133 | |
journal issue | 3 | |
journal title | Journal of Dynamic Systems, Measurement, and Control | |
identifier doi | 10.1115/1.4003267 | |
journal fristpage | 31012 | |
identifier eissn | 1528-9028 | |
keywords | Cycles | |
keywords | Dynamic programming | |
keywords | Hybrid electric vehicles | |
keywords | Fuel consumption | |
keywords | Batteries | |
keywords | Optimization | |
keywords | Vehicles AND Optimal control | |
tree | Journal of Dynamic Systems, Measurement, and Control:;2011:;volume( 133 ):;issue: 003 | |
contenttype | Fulltext | |