Adaptive control strategy of a fuel cell/battery hybrid power system

Chengshuai Wu; Jian Chen; Chenfeng Xu; Zhiyang Liu

doi:10.1109/ACC.2016.7526856

Adaptive control strategy of a fuel cell/battery hybrid power system

Chengshuai Wu, Jian Chen, Chenfeng Xu, Zhiyang Liu

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

Abstract

This paper studies a real-time control problem for a class of fuel cell=battery hybrid power system with one unidirectional boost converter. An adaptive control strategy is proposed to manage power sharing between power sources with consideration of the system constraints. The controller satisfies the dynamically changing load demand and the system constraints based on the parameter estimations. A fully Lyapunov based analysis is provided to show that the strategy has provable stability and convergence result.

Original language	English
Title of host publication	2016 American Control Conference, ACC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7492-7497
Number of pages	6
ISBN (Electronic)	9781467386821
DOIs	https://doi.org/10.1109/ACC.2016.7526856
State	Published - 28 Jul 2016
Externally published	Yes
Event	2016 American Control Conference, ACC 2016 - Boston, United States Duration: 6 Jul 2016 → 8 Jul 2016

Publication series

Name	Proceedings of the American Control Conference
Volume	2016-July
ISSN (Print)	0743-1619

Conference

Conference	2016 American Control Conference, ACC 2016
Country/Territory	United States
City	Boston
Period	6/07/16 → 8/07/16

Access to Document

10.1109/ACC.2016.7526856

Cite this

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title = "Adaptive control strategy of a fuel cell/battery hybrid power system",

abstract = "This paper studies a real-time control problem for a class of fuel cell=battery hybrid power system with one unidirectional boost converter. An adaptive control strategy is proposed to manage power sharing between power sources with consideration of the system constraints. The controller satisfies the dynamically changing load demand and the system constraints based on the parameter estimations. A fully Lyapunov based analysis is provided to show that the strategy has provable stability and convergence result.",

author = "Chengshuai Wu and Jian Chen and Chenfeng Xu and Zhiyang Liu",

note = "Publisher Copyright: {\textcopyright} 2016 American Automatic Control Council (AACC).; 2016 American Control Conference, ACC 2016 ; Conference date: 06-07-2016 Through 08-07-2016",

year = "2016",

month = jul,

day = "28",

doi = "10.1109/ACC.2016.7526856",

language = "אנגלית",

series = "Proceedings of the American Control Conference",

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

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booktitle = "2016 American Control Conference, ACC 2016",

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Wu, C, Chen, J, Xu, C & Liu, Z 2016, Adaptive control strategy of a fuel cell/battery hybrid power system. in 2016 American Control Conference, ACC 2016., 7526856, Proceedings of the American Control Conference, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., pp. 7492-7497, 2016 American Control Conference, ACC 2016, Boston, United States, 6/07/16. https://doi.org/10.1109/ACC.2016.7526856

Adaptive control strategy of a fuel cell/battery hybrid power system. / Wu, Chengshuai; Chen, Jian; Xu, Chenfeng et al.
2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 7492-7497 7526856 (Proceedings of the American Control Conference; Vol. 2016-July).

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

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Adaptive control strategy of a fuel cell/battery hybrid power system

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