Receding horizon control for distributed energy management of a hybrid truck with auxiliaries

T.C.J. Romijn; M.C.F. Donkers; J.T.B.A. Kessels; S. Weiland

doi:10.1016/j.ifacol.2015.10.029

Receding horizon control for distributed energy management of a hybrid truck with auxiliaries

T.C.J. Romijn, M.C.F. Donkers, J.T.B.A. Kessels, S. Weiland

Research output: Contribution to journal › Conference article › peer-review

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Abstract

In this paper, a real-time and distributed solution to Complete Vehicle Energy Management (CVEM) is presented using a receding control horizon in combination with a dual decomposition. The dual decomposition allows the CVEM optimization problem to be solved by solving several smaller optimization problems. The receding horizon control problem is formulated with variable sample intervals, allowing for large prediction horizons with only a limited number of decision variables and constraints. The receding horizon control problem is solved for a case study of a hybrid heavy-duty vehicle, equipped with a high-voltage battery system and a refrigerated semi-trailer. Simulations demonstrate that close to optimal performance in terms of fuel consumption is obtained. The average execution time is 11.4 ms demonstrating that the proposed solution method is indeed real-time implementable.

Original language	English
Pages (from-to)	203-208
Journal	IFAC-PapersOnLine
Volume	48
Issue number	15
DOIs	https://doi.org/10.1016/j.ifacol.2015.10.029
Publication status	Published - 2015
Event	4th IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling (E-COSM '15), August 23-26, 2015, Columbus, OH, USA - Ohio State University, Columbus, United States Duration: 23 Aug 2015 → 26 Aug 2015 https://e-cosm2015.osu.edu/

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10.1016/j.ifacol.2015.10.029

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title = "Receding horizon control for distributed energy management of a hybrid truck with auxiliaries",

abstract = "In this paper, a real-time and distributed solution to Complete Vehicle Energy Management (CVEM) is presented using a receding control horizon in combination with a dual decomposition. The dual decomposition allows the CVEM optimization problem to be solved by solving several smaller optimization problems. The receding horizon control problem is formulated with variable sample intervals, allowing for large prediction horizons with only a limited number of decision variables and constraints. The receding horizon control problem is solved for a case study of a hybrid heavy-duty vehicle, equipped with a high-voltage battery system and a refrigerated semi-trailer. Simulations demonstrate that close to optimal performance in terms of fuel consumption is obtained. The average execution time is 11.4 ms demonstrating that the proposed solution method is indeed real-time implementable.",

author = "T.C.J. Romijn and M.C.F. Donkers and J.T.B.A. Kessels and S. Weiland",

year = "2015",

doi = "10.1016/j.ifacol.2015.10.029",

language = "English",

volume = "48",

pages = "203--208",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

publisher = "Elsevier",

number = "15",

note = "4th IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling (E-COSM '15), August 23-26, 2015, Columbus, OH, USA, E-COSM '15 ; Conference date: 23-08-2015 Through 26-08-2015",

url = "https://e-cosm2015.osu.edu/",

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TY - JOUR

T1 - Receding horizon control for distributed energy management of a hybrid truck with auxiliaries

AU - Romijn, T.C.J.

AU - Donkers, M.C.F.

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

AU - Weiland, S.

PY - 2015

Y1 - 2015

N2 - In this paper, a real-time and distributed solution to Complete Vehicle Energy Management (CVEM) is presented using a receding control horizon in combination with a dual decomposition. The dual decomposition allows the CVEM optimization problem to be solved by solving several smaller optimization problems. The receding horizon control problem is formulated with variable sample intervals, allowing for large prediction horizons with only a limited number of decision variables and constraints. The receding horizon control problem is solved for a case study of a hybrid heavy-duty vehicle, equipped with a high-voltage battery system and a refrigerated semi-trailer. Simulations demonstrate that close to optimal performance in terms of fuel consumption is obtained. The average execution time is 11.4 ms demonstrating that the proposed solution method is indeed real-time implementable.

AB - In this paper, a real-time and distributed solution to Complete Vehicle Energy Management (CVEM) is presented using a receding control horizon in combination with a dual decomposition. The dual decomposition allows the CVEM optimization problem to be solved by solving several smaller optimization problems. The receding horizon control problem is formulated with variable sample intervals, allowing for large prediction horizons with only a limited number of decision variables and constraints. The receding horizon control problem is solved for a case study of a hybrid heavy-duty vehicle, equipped with a high-voltage battery system and a refrigerated semi-trailer. Simulations demonstrate that close to optimal performance in terms of fuel consumption is obtained. The average execution time is 11.4 ms demonstrating that the proposed solution method is indeed real-time implementable.

U2 - 10.1016/j.ifacol.2015.10.029

DO - 10.1016/j.ifacol.2015.10.029

M3 - Conference article

SN - 2405-8963

VL - 48

SP - 203

EP - 208

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 15

T2 - 4th IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling (E-COSM '15), August 23-26, 2015, Columbus, OH, USA

Y2 - 23 August 2015 through 26 August 2015

ER -

Receding horizon control for distributed energy management of a hybrid truck with auxiliaries

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