Adaptive ECMS : a causal set-theoretic method for equivalence factor estimation

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8 Citations (Scopus)

Abstract

In this paper, we propose a novel approach for online estimating the equivalence factor in the equivalent consumption minimization strategies (ECMS). The solution concept is divided into two parts: the state unconstrained energy management problem where one constant equivalence factor is to be estimated and the state constrained energy management problem where the estimation needs to be refreshed from time to time. Under suitable assumptions, the estimation procedure localizes a non-increasing interval containing the correct equivalence factor. The proposed method is simulated and compared to various strategies on several drive-cycles where a robust performance in terms of fuel economy is observed.

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Energy management
Fuel economy

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@article{e64978288d2843eb9b2de8ddf2742118,
title = "Adaptive ECMS : a causal set-theoretic method for equivalence factor estimation",
abstract = "In this paper, we propose a novel approach for online estimating the equivalence factor in the equivalent consumption minimization strategies (ECMS). The solution concept is divided into two parts: the state unconstrained energy management problem where one constant equivalence factor is to be estimated and the state constrained energy management problem where the estimation needs to be refreshed from time to time. Under suitable assumptions, the estimation procedure localizes a non-increasing interval containing the correct equivalence factor. The proposed method is simulated and compared to various strategies on several drive-cycles where a robust performance in terms of fuel economy is observed.",
author = "H. Chen and J.T.B.A. Kessels and S. Weiland",
year = "2015",
doi = "10.1016/j.ifacol.2015.10.012",
language = "English",
volume = "48",
pages = "78--85",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "Elsevier",
number = "15",

}

Adaptive ECMS : a causal set-theoretic method for equivalence factor estimation. / Chen, H.; Kessels, J.T.B.A.; Weiland, S.

In: IFAC-PapersOnLine, Vol. 48, No. 15, 2015, p. 78-85.

Research output: Contribution to journalConference articleAcademicpeer-review

TY - JOUR

T1 - Adaptive ECMS : a causal set-theoretic method for equivalence factor estimation

AU - Chen,H.

AU - Kessels,J.T.B.A.

AU - Weiland,S.

PY - 2015

Y1 - 2015

N2 - In this paper, we propose a novel approach for online estimating the equivalence factor in the equivalent consumption minimization strategies (ECMS). The solution concept is divided into two parts: the state unconstrained energy management problem where one constant equivalence factor is to be estimated and the state constrained energy management problem where the estimation needs to be refreshed from time to time. Under suitable assumptions, the estimation procedure localizes a non-increasing interval containing the correct equivalence factor. The proposed method is simulated and compared to various strategies on several drive-cycles where a robust performance in terms of fuel economy is observed.

AB - In this paper, we propose a novel approach for online estimating the equivalence factor in the equivalent consumption minimization strategies (ECMS). The solution concept is divided into two parts: the state unconstrained energy management problem where one constant equivalence factor is to be estimated and the state constrained energy management problem where the estimation needs to be refreshed from time to time. Under suitable assumptions, the estimation procedure localizes a non-increasing interval containing the correct equivalence factor. The proposed method is simulated and compared to various strategies on several drive-cycles where a robust performance in terms of fuel economy is observed.

U2 - 10.1016/j.ifacol.2015.10.012

DO - 10.1016/j.ifacol.2015.10.012

M3 - Conference article

VL - 48

SP - 78

EP - 85

JO - IFAC-PapersOnLine

T2 - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - 15

ER -