| Toward data‐driven applications in lithium‐ion battery cell manufacturing A Turetskyy, S Thiede, M Thomitzek, N Von Drachenfels, T Pape, ... Energy Technology 8 (2), 1900136, 2020 | 132 | 2020 |
| Data mining in battery production chains towards multi-criterial quality prediction S Thiede, A Turetskyy, A Kwade, S Kara, C Herrmann CIRP Annals 68 (1), 463-466, 2019 | 119 | 2019 |
| Battery production design using multi-output machine learning models A Turetskyy, J Wessel, C Herrmann, S Thiede Energy Storage Materials 38, 93-112, 2021 | 77 | 2021 |
| Machine learning approach for systematic analysis of energy efficiency potentials in manufacturing processes: A case of battery production S Thiede, A Turetskyy, T Loellhoeffel, A Kwade, S Kara, C Herrmann CIRP Annals 69 (1), 21-24, 2020 | 52 | 2020 |
| Data specifications for battery manufacturing digitalization: current status, challenges, and opportunities FM Zanotto, DZ Dominguez, E Ayerbe, I Boyano, C Burmeister, ... Batteries & Supercaps 5 (9), e202200224, 2022 | 49 | 2022 |
| Shop-floor life cycle assessment F Cerdas, S Thiede, M Juraschek, A Turetskyy, C Herrmann Procedia CIRP 61, 393-398, 2017 | 47 | 2017 |
| Data-driven cyber-physical system for quality gates in lithium-ion battery cell manufacturing A Turetskyy, J Wessel, C Herrmann, S Thiede Procedia CIRP 93, 168-173, 2020 | 38 | 2020 |
| Tracking and tracing for data mining application in the lithium-ion battery production J Wessel, A Turetskyy, O Wojahn, C Herrmann, S Thiede Procedia CIRP 93, 162-167, 2020 | 32 | 2020 |
| Virtual quality gates in manufacturing systems: Framework, implementation and potential MA Filz, S Gellrich, A Turetskyy, J Wessel, C Herrmann, S Thiede Journal of Manufacturing and Materials Processing 4 (4), 106, 2020 | 31 | 2020 |
| Model-based energy analysis of a dry room HVAC system in battery cell production M Vogt, K Koch, A Turetskyy, F Cerdas, S Thiede, C Herrmann Procedia CIRP 98, 157-162, 2021 | 24 | 2021 |
| Integrated material-energy-quality assessment for lithium-ion battery cell manufacturing J Wessel, A Turetskyy, F Cerdas, C Herrmann Procedia CIRP 98, 388-393, 2021 | 22 | 2021 |
| Ontology-based traceability system for interoperable data acquisition in battery cell manufacturing J Wessel, A Turetskyy, O Wojahn, T Abraham, C Herrmann Procedia CIRP 104, 1215-1220, 2021 | 19 | 2021 |
| Artificial neural network enabled p2d model deployment for end-of-line battery cell characterization A Turetskyy, V Laue, R Lamprecht, S Thiede, U Krewer, C Herrmann 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 14 | 2019 |
| Data Analytics in Battery Production Systems A Turetskyy Vulkan Verlag, 2022 | 2 | 2022 |
| Assessment of battery cell assembly through non-invasive cell characterization using X-ray computer tomography A Turetskyy, R Leithoff, W Xu, S Thiede, F Dietrich, K Dröder, C Herrmann 31st International Electric Vehicle Symposium & Exhibition and International …, 2018 | 2 | 2018 |
| Cyber-physische Produktionssysteme in Forschungseinrichtungen der Technischen Universität Braunschweig C Herrmann, S Thiede, J Wessel, A Turetskyy, MA Filz, S Gellrich | | 2019 |
| Modeling light energy conversion of microalgae with CellNetAnalyzer A Turetskyy Otto-von-Guericke-Universität Magdeburg, 2013 | | 2013 |
Christoph HerrmannProfessor for Sustainable Manufacturing and Life Cycle Engineering, Technische Universität BraunschweigVerified email at tu-braunschweig.de