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. Wolfgang Dreyer / Prof. Dr. Peter Karl Friz / Dr. Clemens Guhlke

    Project heads: Prof.Dr. Jean-Dominique Deuschel / Prof. Dr. Wolfgang Dreyer / Prof. Dr. Peter Karl Friz / Dr. Clemens Guhlke
    Project members: Dr. Pierre-Ètienne Druet / Dr Mario Maurelli
    Duration: -
    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.