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-2 | Engels |
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Pagina's (van-tot) | 2169-2174 |
Aantal pagina's | 6 |
Tijdschrift | IFAC-PapersOnLine |
Volume | 50 |
Nummer van het tijdschrift | 1 |
DOI's | |
Status | Gepubliceerd - 1 jul. 2017 |
Evenement | 20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, Frankrijk Duur: 9 jul. 2017 → 14 jul. 2017 Congresnummer: 20 https://www.ifac2017.org/ |