TU Berlin

Electrical Energy Storage TechnologyPapillion

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Influence of the position and characteristics of production-related inhomogeneities on the spatially resolved performance parameters and the overall performance of lithium-ion cells

  • Sponsored by DFG
  • Project duration: 2021-2024


One way to reduce the cost of lithium-ion batteries (LIB) is to increase the throughput of the production through innovative handling processes. The unavoidable interaction between assemblies and electrodes creates uneven current density distributions in the electrodes and thus influences the performance of the LIB. In addition to defects that have already been investigated, little is known about the effects of production-related loads when handling the electrodes. Especially when designing innovative production lines, it is therefore important to clarify the influence of various handling operations on the performance of the LIB.

Goals and objectives

The aim of this project is to investigate the (positional) influence of inhomogeneities (defects and loads) on electrodes on the LIB performance. At first the influence of inhomogeneities on LIB performance is examined with the help of an experimentally supported equivalent circuit model (ESBM) in order to compare the influences of the inhomogeneities for the first time. Afterwards the influence of the position is included in the investigations. For this purpose, an ESBM for spatially resolved characterization (oESBM) is developed and parameterized with the help of an innovative test cell (TC) for spatially resolved characterization. Overall the defects particle contamination, moisture and pinholes and the mechanical loads compression, tension and bending are examined. The aging mechanisms SEI growth and lithium plating (LiP) are then provoked through calendar and cycle aging with the TC. The performance analysis focuses on Coulomb's efficiency, impedance and capacitance. The results are finally linked into an application software to enable an ageing prediction. This enables the evaluation of handling processes in production even before they are implemented.


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