Dissertation/Thesis Abstract

Diskrete elektrochemische Modellierung und experimentelle Identifikation von Lithium-Ionen-Zellen basierend auf Halbzellpotentialen
by Schindler, Stefan, Eng.D., Universitaet Bayreuth (Germany), 2018, 236; 11014720
Abstract (Summary)

The commercial success of lithium-ion based energy storage in newly emerging fields such as electric mobility highly depends, among others, on the durability and operational safety of the cells employed in the battery pack. For this purpose, diagnostic and monitoring tools have to be developed which allow to trace the degradation and dynamic electrochemical behaviour of the cells in a wide operational parameter range, as well as to reliably detect aging or safety critical operation modes. In this regard, the currently available methods do not meet the minimum requirements because they either only predict the cell behavior in a very narrow operational range or they do not sufficiently resolve specific degradation processes such as metallic lithium deposition on top of the negative electrode during charging. Thus, the present thesis aims to refine the common diagnostic and monitoring approaches to establish a physically based, holistic description of the origin and impact of degradation mechanisms in lithium-ion cells, particularly taking into account the limited resources of battery management systems. Thereby, the approach is based on the temporal and spatial assignment of the electrochemical processes to the half cells of the battery cell. In contrast to common full-cell based approaches, the half-cell based approach promises a significant gain of information and a deeper insight into degradation mechanisms mainly associated to one electrode of the cell.

Indexing (document details)
Advisor:
Commitee:
School: Universitaet Bayreuth (Germany)
School Location: Germany
Source: DAI-C 81/1(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Electrical engineering, Chemical engineering, Energy
Keywords: Lithium ion batteries
Publication Number: 11014720
ISBN: 9781088398005
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