1. BaSaMa & HiWi
    2.  

Impedance-Based Parametrization of an Electrochemical Battery Model for Plating-Free Fast Charging

Institut
Lehrstuhl für Fahrzeugtechnik (TUM-ED)
Typ
Masterarbeit /
Inhalt
experimentell / theoretisch /  
Beschreibung

Limited range and long charging times remain the main arguments against purchasing an electric vehicle. Fast-charging strategies that operate at the physical limit of the battery require electrochemical models that make the anode potential accessible as an indicator for lithium plating. 

Their usefulness, however, relies on the quality of the parameterization, as the anode potential cannot be measured directly in a full cell.

 

Within this master’s thesis, an electrochemical battery model of a commercial lithium-ion cell shall be parameterized and optimized in several stages based on existing measurement data. First, the state of the art on GITT evaluation, plating detection using dynamic electrochemical impedance spectroscopy (DEIS), and the parameterization of electrochemical models is reviewed in a literature study. On this basis, half-cell measurements are evaluated, and the solid-state diffusion coefficient of both electrodes is determined.

Subsequently, the model's reaction kinetics are optimized based on DEIS results. The thermal model is then calibrated, and the overall model is validated. Finally, the validated model is integrated into an existing framework and prototypically deployed on a Raspberry Pi for fast charging.

The master’s thesis comprises the following work packages:

  • Literature review on electrochemical modeling, GITT evaluation, and DEIS plating detection
  • Evaluation of half-cell GITT measurements to determine the solid-state diffusion coefficients
  • Optimization of the reaction kinetics using DEIS data
  • Calibration of the thermal model
  • Validation of the overall model and assessment of the results
  • Prototype deployment of the model on a Raspberry Pi for fast charging
  • Written documentation and critical reflection of the results
Voraussetzungen

What are we looking for?

  • Passion for electric mobility and fast charging
  • Solid Python skills (NumPy/SciPy — the entire toolchain from data evaluation to deployment is Python-based)
  • Fundamental understanding of lithium-ion batteries (structure, charge/discharge behavior, ideally concepts such as OCV, overpotential, SOC)
  • Basics of modeling and simulation (differential equations, numerical solution methods)
  • Independent, structured way of working and a strong interest in electromobility

 

What do we offer?

  • Close supervision with weekly one-on-one meetings
  • Well-equipped battery laboratory
  • Student workstations with monitors and docking stations
  • Co-authorship of a scientific publication for outstanding work
  • Complete measurement data and an existing code base — start directly with the science, no waiting for experiments
  • Highly relevant skill set for industry and research (physics-based battery modeling, parameter identification, embedded deployment)
  • Flexible working hours and thesis possible in English or German
Möglicher Beginn
sofort
Kontakt
Raphael Urban, M. Sc.
Raum: MW 3511
Tel.: 089 289 10332
raphael.urbantum.de
Ausschreibung