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Articles | Volume 14
https://doi.org/10.5194/ars-14-77-2016
https://doi.org/10.5194/ars-14-77-2016
28 Sep 2016
 | 28 Sep 2016

Predictive performance estimation for a dual-battery system in mild-hybrid vehicles

Daniel Renner, Patrick Jansen, David Vergossen, Werner John, and Stephan Frei

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Cited articles

Atkins, P., De-Paula, J., and Schleitzer, A.: Physikalische Chemie, Band 1, John Wiley & Sons, New York, 2006.
Chen, M. and Rincon-Mora, G.: Accurate electrical battery model capable of predicting runtime and I-V performance, IEEE Transactions on Energy Conversion, 21, 504–511, 2006.
Gehring, R., Froeschl, J., Kohler, T., and Herzog, H. G.: Modeling of the Automotive 14 V Power Net for Voltage Stability Analysis, IEEE Vehicle Power and Propulsion Conference, Dearborn, MI, 7–10 September 2009, 71–77, 2009.
Naumann, R.: Spanungs- Strom- und impdanzbasierte Methoden der Batteriediagnose: Möglichkeiten und Grenzen, HdT: Energiemanagement und Bordnetze, 11–32, 2004.
Netter, F., Xu, Z., and Gauterin, F.: Complexity Adaptation of Simulation Models in a Function-Based Modular Framework, IEEE 5th International Conference on Simulation and Applied Optimization (ICMSAO), Hammamet, Tunisia, 28–30 April 2013, 1–6, 2013.
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Continuously increasing requirements for onboard system performances lead to new topologies for...
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