Multiple-Input Single-Output Polynomial Nonlinear State-Space Model of the Li-ion Battery’s Short-term Dynamics

Rishi Relan; Koen Tiels; JM Timmermans; Joannes Schoukens

doi:10.1016/j.ifacol.2018.09.194

Multiple-Input Single-Output Polynomial Nonlinear State-Space Model of the Li-ion Battery’s Short-term Dynamics

Rishi Relan, Koen Tiels, JM Timmermans, Joannes Schoukens

Engineering Technology

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A data-driven methodology is proposed to identify a multi-input single-output (MISO) polynomial nonlinear state-space model (PNLSS) for battery's short-term electrical response, starting from the best linear approximation of the electrical impedance at multiple operating conditions. Furthermore, a transient handling methodology is utilised to minimise the effect of transients arising due to concatenating data from multiple experiments during the identification of the PNLSS model. Experimental validation is done using the data acquired from the operating points lying in the nonlinear regime of an almost depleted battery in terms of the state of charge (SoC) i.e. between 2%-10% at temperatures between 5°C-40°C.

Originele taal-2	English
Titel	18th IFAC Symposium on System Identification, SYSID 2018, Stockholm, Sweden
Pagina's	497-502
Aantal pagina's	6
Volume	51
Uitgave	15
DOI's	https://doi.org/10.1016/j.ifacol.2018.09.194
Status	Published - 9 jul. 2018
Evenement	18th IFAC Symposium on System Identification: SYSID 2018 - AlbaNova University Center, Stockholm, Sweden Duur: 9 jul. 2018 → 11 jul. 2018 https://www.kth.se/en/eecs/om-oss/konferenser-och-event/sysid2018

Publicatie series

Naam	IFAC-PapersOnLine
ISSN van geprinte versie	2405-8963

Conference

Conference	18th IFAC Symposium on System Identification
Verkorte titel	SYSID 2018
Land/Regio	Sweden
Stad	Stockholm
Periode	9/07/18 → 11/07/18
Internet adres	https://www.kth.se/en/eecs/om-oss/konferenser-och-event/sysid2018

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10.1016/j.ifacol.2018.09.194

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title = "Multiple-Input Single-Output Polynomial Nonlinear State-Space Model of the Li-ion Battery{\textquoteright}s Short-term Dynamics",

abstract = "A data-driven methodology is proposed to identify a multi-input single-output (MISO) polynomial nonlinear state-space model (PNLSS) for battery's short-term electrical response, starting from the best linear approximation of the electrical impedance at multiple operating conditions. Furthermore, a transient handling methodology is utilised to minimise the effect of transients arising due to concatenating data from multiple experiments during the identification of the PNLSS model. Experimental validation is done using the data acquired from the operating points lying in the nonlinear regime of an almost depleted battery in terms of the state of charge (SoC) i.e. between 2%-10% at temperatures between 5°C-40°C.",

keywords = "Battery, Frequency domain system identification, Nonlinear state-space models",

author = "Rishi Relan and Koen Tiels and JM Timmermans and Joannes Schoukens",

year = "2018",

month = jul,

day = "9",

doi = "10.1016/j.ifacol.2018.09.194",

language = "English",

volume = "51",

series = "IFAC-PapersOnLine",

pages = "497--502",

booktitle = "18th IFAC Symposium on System Identification, SYSID 2018, Stockholm, Sweden",

edition = "15",

note = "18th IFAC Symposium on System Identification : SYSID 2018, SYSID 2018 ; Conference date: 09-07-2018 Through 11-07-2018",

url = "https://www.kth.se/en/eecs/om-oss/konferenser-och-event/sysid2018",

}

Relan, R, Tiels, K, Timmermans, JM & Schoukens, J 2018, Multiple-Input Single-Output Polynomial Nonlinear State-Space Model of the Li-ion Battery’s Short-term Dynamics. in 18th IFAC Symposium on System Identification, SYSID 2018, Stockholm, Sweden. 15 edn, vol. 51, IFAC-PapersOnLine, blz. 497-502, 18th IFAC Symposium on System Identification, Stockholm, Sweden, 9/07/18. https://doi.org/10.1016/j.ifacol.2018.09.194

TY - GEN

T1 - Multiple-Input Single-Output Polynomial Nonlinear State-Space Model of the Li-ion Battery’s Short-term Dynamics

AU - Relan, Rishi

AU - Tiels, Koen

AU - Timmermans, JM

AU - Schoukens, Joannes

PY - 2018/7/9

Y1 - 2018/7/9

N2 - A data-driven methodology is proposed to identify a multi-input single-output (MISO) polynomial nonlinear state-space model (PNLSS) for battery's short-term electrical response, starting from the best linear approximation of the electrical impedance at multiple operating conditions. Furthermore, a transient handling methodology is utilised to minimise the effect of transients arising due to concatenating data from multiple experiments during the identification of the PNLSS model. Experimental validation is done using the data acquired from the operating points lying in the nonlinear regime of an almost depleted battery in terms of the state of charge (SoC) i.e. between 2%-10% at temperatures between 5°C-40°C.

AB - A data-driven methodology is proposed to identify a multi-input single-output (MISO) polynomial nonlinear state-space model (PNLSS) for battery's short-term electrical response, starting from the best linear approximation of the electrical impedance at multiple operating conditions. Furthermore, a transient handling methodology is utilised to minimise the effect of transients arising due to concatenating data from multiple experiments during the identification of the PNLSS model. Experimental validation is done using the data acquired from the operating points lying in the nonlinear regime of an almost depleted battery in terms of the state of charge (SoC) i.e. between 2%-10% at temperatures between 5°C-40°C.

KW - Battery

KW - Frequency domain system identification

KW - Nonlinear state-space models

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U2 - 10.1016/j.ifacol.2018.09.194

DO - 10.1016/j.ifacol.2018.09.194

M3 - Conference paper

VL - 51

T3 - IFAC-PapersOnLine

SP - 497

EP - 502

BT - 18th IFAC Symposium on System Identification, SYSID 2018, Stockholm, Sweden

T2 - 18th IFAC Symposium on System Identification

Y2 - 9 July 2018 through 11 July 2018

ER -

Multiple-Input Single-Output Polynomial Nonlinear State-Space Model of the Li-ion Battery’s Short-term Dynamics

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