PUBLICATIONS

 This dissertation designs a multi-layer evaluation structure for retired vehicle lithium-ion batteries to integrate and interpret cell time-series data and module functional evaluation data, and defines an integrated assessment object based on the structure. Conventional reuse evaluation relies on module-level indicators and does not reflect cell-to-cell degradation dispersion. Cell data and module evaluation results are separated, which makes integrated interpretation difficult. To solve this problem, a cell time-series data layer and a module evaluation data layer are defined, and the two layers are linked using the evaluation session. The integrated assessment object is also presented to represent static evaluation results and time-series dynamic characteristics as one unit. The proposed structure is applied to an actual evaluation system to generate cell time-series data and module evaluation data, and the data are aligned based on the evaluation session to confirm the linkage between the two data layers. The result shows that the proposed structure can be used as a basis for interpreting cell dispersion characteristics and module performance indicators under the same evaluation basis.