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Digitale Zwillinge und KI-Unterstützung für ein längeres Batterieleben

  • 01-12-2025
  • Entwicklung
Published in:
Authors
Maximilian Kloock
Rüdiger Beykirch
Mohammadali Mirsalehian
Matthias Rudolph
Published in
ATZ - Automobiltechnische Zeitschrift | Issue 12/2025

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Excerpt

Bei batterieelektrischen Pkw haben Endkunden oft Bedenken, wenn es um die Alterung des Energiespeichers geht. Eine von FEV entwickelte Toolkette nutzt digitale Zwillinge, KI-Unterstützung und effiziente Alterungsmodelle. Sie kann bei Batteriemanagementsystemen helfen, die Lebensdauer präzise zu bewerten und zu verlängern. Dadurch wird der Gesundheitszustand der Batterie optimiert. …

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previous article Mixed-Reality-Fahrsimulator zur Evaluierung von Fahrzeugfunktionen
next article Automatisierter Sicherheitsnachweis für eine elektronische Parksperre
Title
Digitale Zwillinge und KI-Unterstützung für ein längeres Batterieleben
Authors
Maximilian Kloock
Rüdiger Beykirch
Mohammadali Mirsalehian
Matthias Rudolph
Publication date
01-12-2025
Publisher
Springer Fachmedien Wiesbaden
Published in
ATZ - Automobiltechnische Zeitschrift / Issue 12/2025
Print ISSN: 0001-2785
Electronic ISSN: 2192-8800
DOI
https://doi.org/10.1007/s35148-025-2313-0

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    Image Credits
    AVL List GmbH/© AVL List GmbH, dSpace, BorgWarner, Smalley, FEV, Xometry Europe GmbH/© Xometry Europe GmbH, The MathWorks Deutschland GmbH/© The MathWorks Deutschland GmbH, HORIBA/© HORIBA, Outokumpu/© Outokumpu, Gentex GmbH/© Gentex GmbH, Ansys, Yokogawa GmbH/© Yokogawa GmbH, Softing Automotive Electronics GmbH/© Softing Automotive Electronics GmbH, measX GmbH & Co. KG, Hirose Electric GmbH/© Hirose Electric GmbH