Study on MPC-based Energy Management for a Series Tracked Vehicle

Chao Wei; Xitao Wu; Sicheng Liu

doi:10.1109/ISIE.2019.8781404

Study on MPC-based Energy Management for a Series Tracked Vehicle

Chao Wei, Xitao Wu, Sicheng Liu

School of Mechanical Engineering

Beijing Institute of Technology

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

3 Citations (Scopus)

Abstract

To improve the energy usage ratio of a series tracked vehicle, energy management control strategy based on model predictive control (MPC) was proposed. A nonlinear prediction model is established, and the cost function based on the equivalent fuel consumption model of the battery is used as the evaluation index, the dynamic programming (DP) algorithm is used to implement the rolling optimization solution in the prediction time domain which complete the real-time power allocation. Compared with rule-based control strategy, MPC can achieve a 4.1% better economy performance and more balanced state of charge (SOC).

Original language	English
Title of host publication	Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1898-1902
Number of pages	5
ISBN (Electronic)	9781728136660
DOIs	https://doi.org/10.1109/ISIE.2019.8781404
Publication status	Published - Jun 2019
Event	28th IEEE International Symposium on Industrial Electronics, ISIE 2019 - Vancouver, Canada Duration: 12 Jun 2019 → 14 Jun 2019

Publication series

Name	IEEE International Symposium on Industrial Electronics
Volume	2019-June

Conference

Conference	28th IEEE International Symposium on Industrial Electronics, ISIE 2019
Country/Territory	Canada
City	Vancouver
Period	12/06/19 → 14/06/19

Keywords

dynamic programming
model predictive control
power distribution
series hybrid vehicle

Access to Document

10.1109/ISIE.2019.8781404

Cite this

Wei, C., Wu, X., & Liu, S. (2019). Study on MPC-based Energy Management for a Series Tracked Vehicle. In Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019 (pp. 1898-1902). Article 8781404 (IEEE International Symposium on Industrial Electronics; Vol. 2019-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE.2019.8781404

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title = "Study on MPC-based Energy Management for a Series Tracked Vehicle",

abstract = "To improve the energy usage ratio of a series tracked vehicle, energy management control strategy based on model predictive control (MPC) was proposed. A nonlinear prediction model is established, and the cost function based on the equivalent fuel consumption model of the battery is used as the evaluation index, the dynamic programming (DP) algorithm is used to implement the rolling optimization solution in the prediction time domain which complete the real-time power allocation. Compared with rule-based control strategy, MPC can achieve a 4.1% better economy performance and more balanced state of charge (SOC).",

keywords = "dynamic programming, model predictive control, power distribution, series hybrid vehicle",

author = "Chao Wei and Xitao Wu and Sicheng Liu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 28th IEEE International Symposium on Industrial Electronics, ISIE 2019 ; Conference date: 12-06-2019 Through 14-06-2019",

year = "2019",

month = jun,

doi = "10.1109/ISIE.2019.8781404",

language = "English",

series = "IEEE International Symposium on Industrial Electronics",

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

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}

Wei, C, Wu, X & Liu, S 2019, Study on MPC-based Energy Management for a Series Tracked Vehicle. in Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019., 8781404, IEEE International Symposium on Industrial Electronics, vol. 2019-June, Institute of Electrical and Electronics Engineers Inc., pp. 1898-1902, 28th IEEE International Symposium on Industrial Electronics, ISIE 2019, Vancouver, Canada, 12/06/19. https://doi.org/10.1109/ISIE.2019.8781404

Study on MPC-based Energy Management for a Series Tracked Vehicle. / Wei, Chao; Wu, Xitao; Liu, Sicheng.
Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1898-1902 8781404 (IEEE International Symposium on Industrial Electronics; Vol. 2019-June).

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

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N2 - To improve the energy usage ratio of a series tracked vehicle, energy management control strategy based on model predictive control (MPC) was proposed. A nonlinear prediction model is established, and the cost function based on the equivalent fuel consumption model of the battery is used as the evaluation index, the dynamic programming (DP) algorithm is used to implement the rolling optimization solution in the prediction time domain which complete the real-time power allocation. Compared with rule-based control strategy, MPC can achieve a 4.1% better economy performance and more balanced state of charge (SOC).

AB - To improve the energy usage ratio of a series tracked vehicle, energy management control strategy based on model predictive control (MPC) was proposed. A nonlinear prediction model is established, and the cost function based on the equivalent fuel consumption model of the battery is used as the evaluation index, the dynamic programming (DP) algorithm is used to implement the rolling optimization solution in the prediction time domain which complete the real-time power allocation. Compared with rule-based control strategy, MPC can achieve a 4.1% better economy performance and more balanced state of charge (SOC).

KW - dynamic programming

KW - model predictive control

KW - power distribution

KW - series hybrid vehicle

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U2 - 10.1109/ISIE.2019.8781404

DO - 10.1109/ISIE.2019.8781404

M3 - Conference contribution

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T3 - IEEE International Symposium on Industrial Electronics

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BT - Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 12 June 2019 through 14 June 2019

ER -

Study on MPC-based Energy Management for a Series Tracked Vehicle

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