| Accelerating parameter estimation in Doyle–Fuller–Newman model for lithium-ion batteries SR Reddy, MK Scharrer, F Pichler, D Watzenig, GS Dulikravich COMPEL-The international journal for computation and mathematics in …, 2019 | 31 | 2019 |
| A knowledge graph-based data integration framework applied to battery data management TE Kalaycı, B Bricelj, M Lah, F Pichler, MK Scharrer, J Rubeša-Zrim Sustainability 13 (3), 1583, 2021 | 19 | 2021 |
| A new space mapping parameter surrogate optimization for Lithium-Ion cell models MK Scharrer, B Suhr, D Watzenig 4th Inverse Problems, Design and Optimization Symposium, 26-28, 2013 | 6 | 2013 |
| Requirements and design of powertrains for eVTOLs C Doppler, F Holzapfel, MK Scharrer, T Lorscheider, G Prochart e+ i Elektrotechnik und Informationstechnik, 1-17, 2024 | 4 | 2024 |
| Distributed Co-Simulation for Effective Development of Battery Management Functions D Hrvanovic, H Haberl, M Krammer, MK Scharrer SAE Technical Paper, 2023 | 3 | 2023 |
| Predictive energy management on multi-core systems S Grubmüller, MK Scharrer, B Herbst, A Tengg, H Schmidt, D Watzenig Comprehensive energy management-safe adaptation, predictive control and …, 2017 | 3 | 2017 |
| Surrogate parameter optimization based on space mapping for lithium-ion cell models MK Scharrer, B Suhr, D Watzenig Proceedings of 15th International IGTE Symposium on Numerical Field …, 2012 | 3 | 2012 |
| Trust-Region RB Methods for PDE-Constrained Optimization and Optimal Input Design A Petrocchi, MK Scharrer, S Volkwein IFAC-PapersOnLine 55 (26), 149-154, 2022 | 2 | 2022 |
| Adaptive reduced basis methods for PDE-constrained optimization and optimal input design A Petrocchi, MK Scharrer, S Volkwein | 2 | 2022 |
| Surrogate parameter identification for coupled lithium-ion cell models MK Scharrer, F Pichler, M Cifrain, D Watzenig COMPEL: The International Journal for Computation and Mathematics in …, 2015 | 2 | 2015 |
| Optimal Experimental Design for Large-Scale Inverse Problems via Multi-PDE-constrained Optimization A Petrocchi, MK Scharrer, F Pichler, S Volkwein arXiv preprint arXiv:2404.15797, 2024 | 1 | 2024 |
| Experimental based Aging Model for Automotive Li-Ion Batteries L Milanesi, MK Scharrer, D Barater IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society …, 2021 | 1 | 2021 |
| Statistical modelling for characterising the ageing behaviour of lithium-ion cells MK Scharrer, A Pichler, G Gößler, M Cifrain, E Stadlober, A Thaler Kraftwerk Batterie 2018, 2018 | 1 | 2018 |
| Model-based functional safety engineering D Szymanski, M Scharrer, G Macher, E Armengaud, H Schmidt Comprehensive energy management-safe adaptation, predictive control and …, 2018 | 1 | 2018 |
| Simulation und Ansätze zur Parameteridentifikation eines 1D elektrochemischen Modells von Lithium-Ionen-Zellen MK Scharrer, F Pichler, B Suhr NAFEMS deutschsprachige Konferenz, 106-109, 2012 | 1 | 2012 |
| Health Monitoring of IGBTs Using Machine Learning Techniques E Blazhevska, A Otto, D Hrvanovic, G Prochart, MK Scharrer IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society …, 2023 | | 2023 |
| Efficient battery function development by application of battery-as-a-service concepts D Hrvanovic, H Haberl, M Krammer, MK Scharrer Kraftwerk Batterie–Advanced Battery Power 2022, 2022 | | 2022 |
| Trust-Region RB Methods for PDE-Constrained Optimization and Optimal Input Design APMK Scharrer, S Volkwein, A Petrocchi, MK Scharrer | | 2022 |
| Reduced basis methods for optimal experimental design of parametrized linear evolution problems A Petrocchi, MK Scharrer, S Volkwein | | 2022 |
| Statistical Interference for a High-Fidelity Lithium-Ion Cell Model MK Scharrer, F Pichler, D Watzenig International Symposium on Inverse Problems, Design and Optimization: 5th …, 2019 | | 2019 |
Sohail ReddyLawrence Livermore National LaboratoryVerified email at llnl.gov