A computationally efficient implementation of an electrochemistry-based model for lithium-ion batteries

Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelpeer review

12 Citaten (Scopus)

Samenvatting

Lithium-ion batteries are commonly employed in various applications owing to high energy density and long service life. Lithium-ion battery models are used for analysing batteries and enabling power control in applications. The Doyle-Fuller-Newman (DFN) model is a popular electrochemistry-based lithium-ion battery model which represents solid-state and electrolyte diffusion dynamics and accurately predicts the current/voltage response. However, implementation of the full DFN model requires significant computation time. This paper proposes a computationally efficient implementation of the full DFN battery model, which is convenient for real-time applications. The proposed implementation is based on spatial and temporal discretisation of the governing partial differential equations and a particular numerical method for solving the resulting discretised model equations, which is based on a damped Newton's method. In a simulation study, the numerical efficiency of the proposed implementation is shown.

Originele taal-2Engels
Pagina's (van-tot)2169-2174
Aantal pagina's6
TijdschriftIFAC-PapersOnLine
Volume50
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - 1 jul. 2017
Evenement20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, Frankrijk
Duur: 9 jul. 201714 jul. 2017
Congresnummer: 20
https://www.ifac2017.org/

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