Lithium-ion battery disturbance current estimation, with application to a self-balancing photovoltaic battery storage system

Partha P. Mishra, Hosam Kadry Fathy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper develops a model-based algorithm for combined state and disturbance estimation in a lithium-ion battery cell. The 'disturbance', in this context, is the external current applied to the cell. The algorithm estimates this current based solely on terminal voltage measurement, which is valuable for applications where current sensors are too costly. Furthermore, the paper presents a theoretical analysis of the disturbance estimation covariance achievable by this algorithm. The algorithm is particularly valuable for applications where estimates of battery current are needed, but measurements of this current are too costly. One example comes from the authors' previous work on a self-balancing hybrid photovoltaic/battery system. We apply the proposed algorithm, in simulation, to this system, and use a moving average filter to attenuate the noise in its disturbance current estimates. The results of this simulation study show that the proposed algorithm is indeed successful in tracking both the internal battery state and photovoltaic current in the above hybrid photovoltaic/battery system.

Original languageEnglish (US)
Title of host publication2017 American Control Conference, ACC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4048-4054
Number of pages7
ISBN (Electronic)9781509059928
DOIs
StatePublished - Jun 29 2017
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: May 24 2017May 26 2017

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2017 American Control Conference, ACC 2017
CountryUnited States
CitySeattle
Period5/24/175/26/17

Fingerprint

Voltage measurement
Lithium-ion batteries
Sensors

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Mishra, P. P., & Fathy, H. K. (2017). Lithium-ion battery disturbance current estimation, with application to a self-balancing photovoltaic battery storage system. In 2017 American Control Conference, ACC 2017 (pp. 4048-4054). [7963576] (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC.2017.7963576
Mishra, Partha P. ; Fathy, Hosam Kadry. / Lithium-ion battery disturbance current estimation, with application to a self-balancing photovoltaic battery storage system. 2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 4048-4054 (Proceedings of the American Control Conference).
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Mishra, PP & Fathy, HK 2017, Lithium-ion battery disturbance current estimation, with application to a self-balancing photovoltaic battery storage system. in 2017 American Control Conference, ACC 2017., 7963576, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 4048-4054, 2017 American Control Conference, ACC 2017, Seattle, United States, 5/24/17. https://doi.org/10.23919/ACC.2017.7963576

Lithium-ion battery disturbance current estimation, with application to a self-balancing photovoltaic battery storage system. / Mishra, Partha P.; Fathy, Hosam Kadry.

2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 4048-4054 7963576 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Mishra PP, Fathy HK. Lithium-ion battery disturbance current estimation, with application to a self-balancing photovoltaic battery storage system. In 2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 4048-4054. 7963576. (Proceedings of the American Control Conference). https://doi.org/10.23919/ACC.2017.7963576