Model predictive control strategy for plug-in hybrid electric vehicles

Yi Min Hsieh; Yen Chen Liu

doi:10.1109/ICARCV.2016.7838781

Model predictive control strategy for plug-in hybrid electric vehicles

Yi Min Hsieh, Yen Chen Liu

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Plug-in hybrid electric vehicle (PHEV) is a kind of hybrid electric vehicles (HEV) that has a large capacity battery to satisfy the requirement of the distance for commuters. The parallel PHEV has two kinds of power source, internal combustion engine (ICE) and electric motor (EM). To have a superior fuel economy, a control strategy to split the driving power to ICE and EM is important. In this paper, we propose a model predictive control strategy to regulate the individual power from ICE and EM in a parallel PHEV to minimize fuel consumption. The control strategy can improve fuel economy comparing with other strategies, and the proposed strategy also considers the computational burden for real time implement.

Original language	English
Title of host publication	2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509035496
DOIs	https://doi.org/10.1109/ICARCV.2016.7838781
Publication status	Published - 2016
Event	14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 - Phuket, Thailand Duration: 2016 Nov 13 → 2016 Nov 15

Publication series

Name	2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016

Other

Other	14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
Country/Territory	Thailand
City	Phuket
Period	16-11-13 → 16-11-15

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Control and Optimization
Instrumentation
Computer Vision and Pattern Recognition

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10.1109/ICARCV.2016.7838781

Cite this

Hsieh, Y. M., & Liu, Y. C. (2016). Model predictive control strategy for plug-in hybrid electric vehicles. In 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 Article 7838781 (2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARCV.2016.7838781

@inproceedings{f81b563341e24f8d8f568577134ee17a,

title = "Model predictive control strategy for plug-in hybrid electric vehicles",

abstract = "Plug-in hybrid electric vehicle (PHEV) is a kind of hybrid electric vehicles (HEV) that has a large capacity battery to satisfy the requirement of the distance for commuters. The parallel PHEV has two kinds of power source, internal combustion engine (ICE) and electric motor (EM). To have a superior fuel economy, a control strategy to split the driving power to ICE and EM is important. In this paper, we propose a model predictive control strategy to regulate the individual power from ICE and EM in a parallel PHEV to minimize fuel consumption. The control strategy can improve fuel economy comparing with other strategies, and the proposed strategy also considers the computational burden for real time implement.",

author = "Hsieh, {Yi Min} and Liu, {Yen Chen}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 ; Conference date: 13-11-2016 Through 15-11-2016",

year = "2016",

doi = "10.1109/ICARCV.2016.7838781",

language = "English",

series = "2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016",

address = "United States",

}

Hsieh, YM & Liu, YC 2016, Model predictive control strategy for plug-in hybrid electric vehicles. in 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016., 7838781, 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, Institute of Electrical and Electronics Engineers Inc., 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, Phuket, Thailand, 16-11-13. https://doi.org/10.1109/ICARCV.2016.7838781

Model predictive control strategy for plug-in hybrid electric vehicles. / Hsieh, Yi Min; Liu, Yen Chen.
2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7838781 (2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Model predictive control strategy for plug-in hybrid electric vehicles

AU - Hsieh, Yi Min

AU - Liu, Yen Chen

PY - 2016

Y1 - 2016

N2 - Plug-in hybrid electric vehicle (PHEV) is a kind of hybrid electric vehicles (HEV) that has a large capacity battery to satisfy the requirement of the distance for commuters. The parallel PHEV has two kinds of power source, internal combustion engine (ICE) and electric motor (EM). To have a superior fuel economy, a control strategy to split the driving power to ICE and EM is important. In this paper, we propose a model predictive control strategy to regulate the individual power from ICE and EM in a parallel PHEV to minimize fuel consumption. The control strategy can improve fuel economy comparing with other strategies, and the proposed strategy also considers the computational burden for real time implement.

AB - Plug-in hybrid electric vehicle (PHEV) is a kind of hybrid electric vehicles (HEV) that has a large capacity battery to satisfy the requirement of the distance for commuters. The parallel PHEV has two kinds of power source, internal combustion engine (ICE) and electric motor (EM). To have a superior fuel economy, a control strategy to split the driving power to ICE and EM is important. In this paper, we propose a model predictive control strategy to regulate the individual power from ICE and EM in a parallel PHEV to minimize fuel consumption. The control strategy can improve fuel economy comparing with other strategies, and the proposed strategy also considers the computational burden for real time implement.

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DO - 10.1109/ICARCV.2016.7838781

M3 - Conference contribution

AN - SCOPUS:85015207088

T3 - 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016

BT - 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016

Y2 - 13 November 2016 through 15 November 2016

ER -

Hsieh YM, Liu YC. Model predictive control strategy for plug-in hybrid electric vehicles. In 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7838781. (2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016). doi: 10.1109/ICARCV.2016.7838781

Model predictive control strategy for plug-in hybrid electric vehicles

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