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

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)2169-2174
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
Publication statusPublished - 1 Jul 2017
Event20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, France
Duration: 9 Jul 201714 Jul 2017
Conference number: 20
https://www.ifac2017.org/

Keywords

  • electrochemistry-based model
  • Lithium-ion battery
  • numerical methods
  • partial differential equations

Fingerprint Dive into the research topics of 'A computationally efficient implementation of an electrochemistry-based model for lithium-ion batteries'. Together they form a unique fingerprint.

Cite this