A roadmap for modeling and feature extraction of energy storage battery pack for marine energy power station

Abstract

This paper introduces the entire roadmap and detailed research methods of our NSFC project. A three-stage roadmap is proposed for energy store application of marine power station, and called upon to solve the key issues of health feature rapid extraction and modeling for battery pack. Efficient numerical modeling, rapid ICA and EIS testing and degradation of key features investigating makes the acquirement of the key features much faster. Graph theory and data mining method will be applied in the preparation of the performance and health relationship between cells and pack. A double-layer model will be finally proposed to describe the performance and health behavior of the battery pack. This project can provide a systematic method for extracting health features of energy store battery pack, the findings will enrich the theoretical understanding of battery pack health and its degradation mechanisms, and provide strong support for health status evaluation in further.