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Since 2019, Matheon's application-oriented mathematical research activities are being continued in the framework of the Cluster of Excellence MATH+
www.mathplus.de
The Matheon websites will not be updated anymore.

Prof.Dr. Jean-Dominique Deuschel

deuschel@math.tu-berlin.de


Projects as a project leader

  • SE17

    Stochastic methods for the analysis of lithium-ion batteries

    Prof.Dr. Jean-Dominique Deuschel / Prof. Dr. Peter Karl Friz / Dr. Clemens Guhlke / Dr. Manuel Landstorfer

    Project heads: Prof.Dr. Jean-Dominique Deuschel / Prof. Dr. Peter Karl Friz / Dr. Clemens Guhlke / Dr. Manuel Landstorfer
    Project members: Dr. Michelle Coghi
    Duration: 01.06.2017 - 31.12.2019
    Status: running
    Located at: Technische Universität Berlin / Weierstraß-Institut

    Description

    Currently lithium-ion batteries are the most promising storage devices to store and convert chemical energy into electrical energy. An important class of modern lithium batteries contain electrodes that consist of many nano-particles. During the charging process of a battery, lithium is reversibly stored in the ensemble of the nano-particles and the particles undergo a phase transition from a Li-rich to a Li-poor phase. For this type of batteries a successful mathematical model was developed in the previous ECMath project SE8, based on a stochastic mean field interacting particle system. The new project focuses on modeling, analysis and simulations of extreme conditions in battery operation like fast charging, mostly full/empty discharge states, mechanical stresses within the electrode. The aim of the project is to achieve deeper understanding of the behavior of lithium-ion batteries in extreme conditions.

    http://www.wias-berlin.de/projects/ECMath-SE17/