Quality Control and Management Systems for Lithium-Ion Battery Production: A Systematic Literature Review

Abstract

In response to increasing environmental concerns and the transition toward electromobility, lithium-ion batteries (LIBs) have become the dominant energy source for electric vehicles. However, their production remains costly and technically complex, with quality issues significantly contributing to high scrap rates and safety risks. Robust quality control and management practices are essential for performance and cost efficiency. This study conducts a systematic literature review (SLR) to identify and analyze quality-related methodologies applied in LIB manufacturing. Following the preferred reporting iems for systematic reviews and meta-analyses (PRISMA) framework, 46 peer-reviewed articles published between 2014 and 2024 were selected from four major databases. The results highlight the prevalence of data-driven techniques, especially machine learning, and emerging approaches like digital twins and computed tomography. This SLR contributes to improving quality assurance in battery production by synthesizing current best practices and identifying areas for future research.