Systematic derivation and tuning of a compact differential-algebraic equations model for LiFePO4-graphite Li-ion batteries

C. W. Lee; Y. Hong; M. Hayrapetyan; Z. Xi

doi:10.1149/07520.0089ecst

Systematic derivation and tuning of a compact differential-algebraic equations model for LiFePO₄-graphite Li-ion batteries

C. W. Lee, Y. Hong, M. Hayrapetyan, Z. Xi

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

1 Scopus citations

Abstract

This paper presents a procedure for deriving and tuning a compact differential-algebraic equation (DAE) model for the LiFePO₄-graphite lithium-ion battery cell. A reduced order model can drastically decrease the simulation time with a minimal loss of the prediction accuracy for the Li-ion battery. This paper proposes a method for choosing a Galerkin formulation that will produce a compact and solvable DAE system from the original higher-order model of the Lithium-ion battery cell. Moreover, a systematic tuning of the model parameters using the global optimization method is demonstrated by exploiting the computational efficiency of the simplified model. When coupled with the model for describing the hysteresis of the battery cell, the tuned model, consisting of 24 DAEs, shows a good agreement with the experimental data from a LiFePO₄-graphite battery cell at rates up to 4C.

Original language	English (US)
Title of host publication	Li-Ion Batteries
Editors	Christopher Johnson, Y. Cui, Y. Zhang, G. Koenig, R. Kostecki, D. Guyomard, M. Winter, Y. Fukunaka
Publisher	Electrochemical Society Inc.
Pages	89-102
Number of pages	14
Edition	20
ISBN (Electronic)	9781607687696
DOIs	https://doi.org/10.1149/07520.0089ecst
State	Published - 2016
Externally published	Yes
Event	Li-Ion Batteries A03 Battery Symposium - PRiME 2016/230th ECS Meeting - Honolulu, United States Duration: Oct 2 2016 → Oct 7 2016

Publication series

Name	ECS Transactions
Number	20
Volume	75
ISSN (Print)	1938-6737
ISSN (Electronic)	1938-5862

Other

Other	Li-Ion Batteries A03 Battery Symposium - PRiME 2016/230th ECS Meeting
Country/Territory	United States
City	Honolulu
Period	10/2/16 → 10/7/16

All Science Journal Classification (ASJC) codes

Engineering(all)

Access to Document

10.1149/07520.0089ecst

Cite this

Lee, C. W., Hong, Y., Hayrapetyan, M., & Xi, Z. (2016). Systematic derivation and tuning of a compact differential-algebraic equations model for LiFePO₄-graphite Li-ion batteries. In C. Johnson, Y. Cui, Y. Zhang, G. Koenig, R. Kostecki, D. Guyomard, M. Winter, & Y. Fukunaka (Eds.), Li-Ion Batteries (20 ed., pp. 89-102). (ECS Transactions; Vol. 75, No. 20). Electrochemical Society Inc.. https://doi.org/10.1149/07520.0089ecst

Lee, C. W. ; Hong, Y. ; Hayrapetyan, M. et al. / Systematic derivation and tuning of a compact differential-algebraic equations model for LiFePO₄-graphite Li-ion batteries. Li-Ion Batteries. editor / Christopher Johnson ; Y. Cui ; Y. Zhang ; G. Koenig ; R. Kostecki ; D. Guyomard ; M. Winter ; Y. Fukunaka. 20. ed. Electrochemical Society Inc., 2016. pp. 89-102 (ECS Transactions; 20).

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title = "Systematic derivation and tuning of a compact differential-algebraic equations model for LiFePO4-graphite Li-ion batteries",

abstract = "This paper presents a procedure for deriving and tuning a compact differential-algebraic equation (DAE) model for the LiFePO4-graphite lithium-ion battery cell. A reduced order model can drastically decrease the simulation time with a minimal loss of the prediction accuracy for the Li-ion battery. This paper proposes a method for choosing a Galerkin formulation that will produce a compact and solvable DAE system from the original higher-order model of the Lithium-ion battery cell. Moreover, a systematic tuning of the model parameters using the global optimization method is demonstrated by exploiting the computational efficiency of the simplified model. When coupled with the model for describing the hysteresis of the battery cell, the tuned model, consisting of 24 DAEs, shows a good agreement with the experimental data from a LiFePO4-graphite battery cell at rates up to 4C.",

author = "Lee, {C. W.} and Y. Hong and M. Hayrapetyan and Z. Xi",

note = "Publisher Copyright: {\textcopyright} The Electrochemical Society.; Li-Ion Batteries A03 Battery Symposium - PRiME 2016/230th ECS Meeting ; Conference date: 02-10-2016 Through 07-10-2016",

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Lee, CW, Hong, Y, Hayrapetyan, M & Xi, Z 2016, Systematic derivation and tuning of a compact differential-algebraic equations model for LiFePO₄-graphite Li-ion batteries. in C Johnson, Y Cui, Y Zhang, G Koenig, R Kostecki, D Guyomard, M Winter & Y Fukunaka (eds), Li-Ion Batteries. 20 edn, ECS Transactions, no. 20, vol. 75, Electrochemical Society Inc., pp. 89-102, Li-Ion Batteries A03 Battery Symposium - PRiME 2016/230th ECS Meeting, Honolulu, United States, 10/2/16. https://doi.org/10.1149/07520.0089ecst

Systematic derivation and tuning of a compact differential-algebraic equations model for LiFePO₄-graphite Li-ion batteries. / Lee, C. W.; Hong, Y.; Hayrapetyan, M. et al.
Li-Ion Batteries. ed. / Christopher Johnson; Y. Cui; Y. Zhang; G. Koenig; R. Kostecki; D. Guyomard; M. Winter; Y. Fukunaka. 20. ed. Electrochemical Society Inc., 2016. p. 89-102 (ECS Transactions; Vol. 75, No. 20).

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

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AB - This paper presents a procedure for deriving and tuning a compact differential-algebraic equation (DAE) model for the LiFePO4-graphite lithium-ion battery cell. A reduced order model can drastically decrease the simulation time with a minimal loss of the prediction accuracy for the Li-ion battery. This paper proposes a method for choosing a Galerkin formulation that will produce a compact and solvable DAE system from the original higher-order model of the Lithium-ion battery cell. Moreover, a systematic tuning of the model parameters using the global optimization method is demonstrated by exploiting the computational efficiency of the simplified model. When coupled with the model for describing the hysteresis of the battery cell, the tuned model, consisting of 24 DAEs, shows a good agreement with the experimental data from a LiFePO4-graphite battery cell at rates up to 4C.

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Lee CW, Hong Y, Hayrapetyan M, Xi Z. Systematic derivation and tuning of a compact differential-algebraic equations model for LiFePO₄-graphite Li-ion batteries. In Johnson C, Cui Y, Zhang Y, Koenig G, Kostecki R, Guyomard D, Winter M, Fukunaka Y, editors, Li-Ion Batteries. 20 ed. Electrochemical Society Inc. 2016. p. 89-102. (ECS Transactions; 20). doi: 10.1149/07520.0089ecst