Search Results - Bilfinger, Philip

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  1. 1
    Quantifying the State of the Art of Electric Powertrains in Battery Electric Vehicles: Comprehensive Analysis of the Tesla Model 3 on the Vehicle Level

    Quantifying the State of the Art of Electric Powertrains in Battery Electric Vehicles: Comprehensive Analysis of the Tesla Model 3 on the Vehicle Level by Rosenberger, Nico, Rosner, Philipp, Bilfinger, Philip, Schöberl, Jan, Teichert, Olaf, Schneider, Jakob, Abo Gamra, Kareem, Allgäuer, Christian, Dietermann, Brian, Schreiber, Markus, Ank, Manuel, Kröger, Thomas, Köhler, Alexander, Lienkamp, Markus

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  2. 2
    Lithium-Ion Cells in Automotive Applications: Tesla 4680 Cylindrical Cell Teardown and Characterization

    Lithium-Ion Cells in Automotive Applications: Tesla 4680 Cylindrical Cell Teardown and Characterization by Ank, Manuel, Sommer, Alessandro, Abo Gamra, Kareem, Schöberl, Jan, Leeb, Matthias, Schachtl, Johannes, Streidel, Noah, Stock, Sandro, Schreiber, Markus, Bilfinger, Philip, Allgäuer, Christian, Rosner, Philipp, Hagemeister, Jan, Rößle, Matti, Daub, Rüdiger, Lienkamp, Markus

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  3. 3
    Economic potential assessment of multi-cell testing in lithium-ion cell production and electric vehicle application

    Economic potential assessment of multi-cell testing in lithium-ion cell production and electric vehicle application by Ank, Manuel, Bilfinger, Philip, Grube-Doiz, Nerea, Lienkamp, Markus

    Published in Procedia CIRP
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  4. 4
    Unlocking the full potential of electric vehicle fast-charging over lifetime through model-based aging adaptation

    Unlocking the full potential of electric vehicle fast-charging over lifetime through model-based aging adaptation by Abo Gamra, Kareem, Bilfinger, Philip, Schreiber, Markus, Kröger, Thomas, Allgäuer, Christian, Lienkamp, Markus

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  5. 5
    Comprehensive Analysis of Commercial Sodium-Ion Batteries: Structural and Electrochemical Insights

    Comprehensive Analysis of Commercial Sodium-Ion Batteries: Structural and Electrochemical Insights by Dorau, Filip Adam, Sommer, Alessandro, Koloch, Jan, Röß-Ohlenroth, Richard, Schreiber, Markus, Neuner, Maximilian, Abo Gamra, Kareem, Lin, Yilei, Schöberl, Jan, Bilfinger, Philip, Grabmann, Sophie, Stumper, Benedikt, Katzenmeier, Leon, Lienkamp, Markus, Daub, Rüdiger

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  6. 6
    Collaborative training of deep neural networks for the lithium-ion battery aging prediction with federated learning

    Collaborative training of deep neural networks for the lithium-ion battery aging prediction with federated learning by Kröger, Thomas, Belnarsch, Annalena, Bilfinger, Philip, Ratzke, Wolfram, Lienkamp, Markus

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  7. 7
    Battery pack diagnostics for electric vehicles: Transfer of differential voltage and incremental capacity analysis from cell to vehicle level

    Battery pack diagnostics for electric vehicles: Transfer of differential voltage and incremental capacity analysis from cell to vehicle level by Bilfinger, Philip, Rosner, Philipp, Schreiber, Markus, Kröger, Thomas, Gamra, Kareem Abo, Ank, Manuel, Wassiliadis, Nikolaos, Dietermann, Brian, Lienkamp, Markus

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