Identifying and Addressing Supply Chain Data Gaps: Impacts on Predictive Quality and CTQ Parameter Management in EV Battery Production
Year: 2026
Type: article
Study design: Systematic Review
Abstract: The supply chains for electric vehicles (EVs) have data gaps that hinder traceability, predictive quality control, and management of Critical-to-Quality (CTQ) parameters such as energy capacity, electrode uniformity, thermal stability, state of charge/health, and recyclability. This systematic literature review collates research on raw-material sourcing, manufacturing, in-use monitoring, secondlife applications, and recycling. Following a documented PRISMA-style protocol, the review maps data gaps, compares enabling technologies, and proposes an integrated framework linking the Internet of Things, blockchain, digital twins, AI, and battery/digital product passports. The results describe barriers to implementation and offer a roadmap toward reliable, transparent, and sustainable EV battery quality management.
DOI: 10.55708/js0508002
Language: English
Subfield: Food Science
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W7204247142