| Quantifying the state of the art of electric powertrains in battery electric vehicles: Range, efficiency, and lifetime from component to system level of the Volkswagen ID. 3 N Wassiliadis, M Steinsträter, M Schreiber, P Rosner, L Nicoletti, ... Etransportation 12, 100167, 2022 | 103 | 2022 |
| Identification and explanation of challenging conditions for camera-based object detection of automated vehicles T Ponn, T Kröger, F Diermeyer Sensors 20 (13), 3699, 2020 | 35 | 2020 |
| Quantifying the state of the art of electric powertrains in battery electric vehicles: Comprehensive analysis of the tesla model 3 on the vehicle level N Rosenberger, P Rosner, P Bilfinger, J Schöberl, O Teichert, J Schneider, ... World Electr. Veh. J 15, 268, 2024 | 15 | 2024 |
| Collaborative training of deep neural networks for the lithium-ion battery aging prediction with federated learning T Kröger, A Belnarsch, P Bilfinger, W Ratzke, M Lienkamp Etransportation 18, 100294, 2023 | 14 | 2023 |
| Experimental analysis of lithium-ion cell procurement: Quality differences, correlations, and importance of cell characterization M Ank, T Kröger, M Schreiber, M Lienkamp Journal of Energy Storage 66, 107430, 2023 | 14 | 2023 |
| Alarm flood analysis by hierarchical clustering of the probabilistic dependency between alarms I Weiß, J Kinghorst, T Kröger, MF Pirehgalin, B Vogel-Heuser 2018 IEEE 16th International Conference on Industrial Informatics (INDIN …, 2018 | 8 | 2018 |
| Performance Analysis of Camera-based Object Detection for Automated Vehicles. T Ponn, T Kröger, F Diermeyer Sensors (Basel, Switzerland) 20 (13), E3699-E3699, 2020 | 6 | 2020 |
| Understanding lithium-ion battery degradation in vehicle applications: Insights from realistic and accelerated aging tests using Volkswagen ID. 3 pouch cells M Schreiber, KA Gamra, P Bilfinger, O Teichert, J Schneider, T Kröger, ... Journal of Energy Storage 112, 115357, 2025 | 4 | 2025 |
| Increasing the efficiency of li-ion battery cycle life testing with a partial-machine learning based end of life prediction T Kröger, A Bös, S Maisel, S Luciani, M Schreiber, M Lienkamp Journal of Energy Storage 73, 108842, 2023 | 3 | 2023 |
| Battery pack diagnostics for electric vehicles: Transfer of differential voltage and incremental capacity analysis from cell to vehicle level P Bilfinger, P Rosner, M Schreiber, T Kröger, KA Gamra, M Ank, ... eTransportation 22, 100356, 2024 | 2 | 2024 |
| Investigating the aging mechanisms of state-of-the-art automotive battery pouch cells under real-world usage conditions M Schreiber, N Wassiliadis, J Schneider, T Kröger, M Lienkamp Unpublished, 2022 | 2 | 2022 |
| Comparing experimental designs for parameterizing semi-empirical and deep learning-based lithium-ion battery aging models T Kröger, S Maisel, G Jank, KA Gamra, T Brehler, M Lienkamp Journal of Energy Storage 106, 114702, 2025 | | 2025 |
| Unlocking the full potential of electric vehicle fast-charging over lifetime through model-based aging adaptation KA Gamra, P Bilfinger, M Schreiber, T Kröger, C Allgäuer, M Lienkamp Journal of Energy Storage 99, 113361, 2024 | | 2024 |
| Incoming Inspection of Lithium‐Ion Batteries Based on Multi‐cell Testing M Ank, M Rößle, T Kröger, A Sommer, M Lienkamp Energy Technology, 2400494, 2024 | | 2024 |
| Reducing Li-ion Cycle Life Testing Costs with a Robust Hybrid Aging Predictor T Kröger, MS Derbel, L Markus EVS 37 International Electric Vehicle Symposium and Exhibition 1 EVS37 Symposium, 2024 | | 2024 |
| AI-Supervised Testing of Li-ion Battery Aging T Kröger, D Jeong, S Maisel, M Lienkamp AABC 2023-Advanced Automotive Battery Conference, 2023 | | 2023 |
| AI-supervised Testing of Li-ion Battery Aging: Improving Data Quality and Forecasting Aging Behavior T Kröger, D Jeong, S Maisel, M Lienkamp | | |
| Reducing Li-ion Battery Cycle Life Testing Costs with a Robust Hybrid Aging Predictor T Kröger, MS Derbel, M Lienkamp | | |
