Abstract
We evaluated robust process centering for battery quality control under 13% batch variability. A deterministic paired simulation generated 56 cases and preserved a rare-condition slice. Mean defect-screening yield changed from 0.542 to 0.591; the paired difference was +0.049 (95% interval +0.047 to +0.052). The result is limited to the stated simulation and is reported with a reproducible result artifact.
References
Fung Guan, G., & Chen, C.-Y. (2026). Study on the Correlation Between Manufacturing Variability and Electrochemical Stability in Large-Scale Lithium-Ion Battery Production. . https://doi.org/10.2139/ssrn.7232060
Kaga, Y., Amasaki, S., Naoe, K., Seki, E., Nishimura, E., & Hirooka, M. (2020). Study of Lithium Ion Battery Manufacturing Process Using Quasi-Solid Electrolyte Sheet. ECS Meeting Abstracts, MA2020-02(2), 327-327. https://doi.org/10.1149/ma2020-022327mtgabs
Lee, D., Kannatey-Asibu, E., & Cai, W. (2013). Ultrasonic Welding Simulations for Multiple Layers of Lithium-Ion Battery Tabs. Journal of Manufacturing Science and Engineering, 135(6), 061011. https://doi.org/10.1115/1.4025668
Chaves, J. S., Bree, G., & John Low, C. T. (2022). Low Cost, Solvent-Free Lithium-Ion Battery Electrode Manufacturing Based on Electrostatic Dry Powder Coating. ECS Meeting Abstracts, MA2022-02(6), 616-616. https://doi.org/10.1149/ma2022-026616mtgabs
Greitemeier, T., Kampker, A., Tübke, J., & Lux, S. (2025). Securing the Future of Lithium-Ion Battery Manufacturing: Mitigating Supply Chain Risks from China through Strategic Innovation. ECS Meeting Abstracts, MA2025-02(68), 3289-3289. https://doi.org/10.1149/ma2025-02683289mtgabs
Liu, K., Wang, Y., & Lai, X. (2022). Data Science-Based Battery Manufacturing Management. Green Energy and Technology, 49-90. https://doi.org/10.1007/978-3-031-01340-9_3
Sun, P., Vigneaux, P., & Franco, A. A. (2025). Discrete Element Method Model of An Extrusion Process with Recirculation for Dry Manufacturing of Lithium-Ion Battery Electrodes. https://doi.org/10.26434/chemrxiv-2025-xzvw4
Haghi, S., & Daub, R. (2023). Data-Driven Approach to Analyze Interdependencies between Electrode Manufacturing Parameters and Electrochemical Performance of the Lithium-Ion Battery Cell. ECS Meeting Abstracts, MA2023-01(2), 670-670. https://doi.org/10.1149/ma2023-012670mtgabs
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
Li, H., Cong, L., Ma, H., Liu, W., Deng, Y., & Kong, S. (2022). Screening of Retired Lithium-Ion Batteries Using Incremental Capacity Charging Curve-Based Residual Capacity Estimation Method for Facilitating Sustainable Circular Lithium-Ion Battery System. Journal of Manufacturing Science and Engineering, 144(2), 021003. https://doi.org/10.1115/1.4051677
