Search Results - "Bilfinger, Philip"

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

“…Data on state-of-the-art battery electric vehicles are crucial to academia; however, these data are not published due to non-disclosure policies in the…”
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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

“…Fast-charging within 15min is increasingly demanded in electric vehicles to reduce downtime and increase customer acceptance. To ensure this, battery models…”
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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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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

“…Aging of lithium-ion battery cells reduces a battery electric vehicle’s achievable range, power capabilities and resale value. Therefore, suitable…”
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