Data Science-Based Battery Manufacturing Management

Abstract

This chapter focuses on the data science technologies for battery manufacturing management, which is a key process in the early lifespan of battery. As a complicated and long process, the battery manufacturing line generally consists of numerous intermediate stages involving strongly coupled interdependency, which would directly determine the performance of the manufactured battery. In this context, the in-depth exploration and management of different manufacturing parameters, variables, their correlation as well as effect towards the resulted property of manufactured intermediate products or final battery performance is crucial but still remains a difficult challenge. Recent advancements in data-driven analytic and related machine learning strategies raised interest in data science methods to perform effective and reasonable management of battery manufacturing.