This evidence-synthesis article examines battery manufacturing reliability through the focal contribution “Study on the Correlation Between Manufacturing Variability and Electrochemical Stability in Large-Scale Lithium-Ion Battery Production” and nine author-disjoint, topically matched studies. The analysis is organized around data provenance and auditability. Rather than treating bibliographic proximity as proof of empirical equivalence, it separates conceptual claims, evaluation choices, operational constraints, and transfer risks. The result is a reproducible framework for comparing adjacent evidence without overstating what title- and metadata-level screening can establish. All ten references are cited in the body, and the reference set has been checked for complete-author intersections.
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- Lindlmeier, J., Kirner, K., & Seidel, C. (2026). Data-driven insights into lithium-ion battery manufacturing using the linear model to analyze the manufacturing process and predict cell quality. Procedia CIRP, 138, 839-844. https://doi.org/10.1016/j.procir.2026.01.144 DOI
- Zavareh, P.-A., Matam, A.-N., & Shah, K. (2026). Heterogeneous aging in a multi-cell lithium-ion battery system driven by manufacturing-induced variability in electrode microstructure: a physics-based simulation study. Energy Advances, 5(2), 202-223. https://doi.org/10.1039/d5ya00182j DOI
- Song, J. (2024). Optimizing Formation Processes in Lithium-Ion Battery Manufacturing: Enhancing Efficiency and Quality for Electric Vehicle Applications. Current Journal of Applied Science and Technology, 43(8), 63-72. https://doi.org/10.9734/cjast/2024/v43i84421 DOI
- Li, Z., Brenneis, W., Lopez, J., & Sun, T. (2026). Semi-dry printing process for sustainable lithium-ion battery electrode manufacturing. . https://doi.org/10.26434/chemrxiv.15000692/v1 DOI
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- Journal
- Global Questions: An Interdisciplinary Review
- Volume
- 1 (2026)
- Article number
- gq20260032
- License
- CC BY 4.0
