Advances in Radio Science
Advances in Radio Science
ARS
Articles | Volume 14
Articles | Volume 14
https://doi.org/10.5194/ars-14-77-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/ars-14-77-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 14
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

Viewed

Total article views: 1,534 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
747 671 116 1,534 94 115
  • HTML: 747
  • PDF: 671
  • XML: 116
  • Total: 1,534
  • BibTeX: 94
  • EndNote: 115
Views and downloads (calculated since 28 Sep 2016)
Cumulative views and downloads (calculated since 28 Sep 2016)

Viewed (geographical distribution)

Total article views: 1,437 (including HTML, PDF, and XML) Thereof 1,430 with geography defined and 7 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Nov 2024
Download
Short summary
Continuously increasing requirements for onboard system performances lead to new topologies for the energy distribution in vehicles. One promising concept is the usage of a dual-battery system instead of the conventional lead-acid battery. The conventional performance estimation method for standalone lead-acid batteries can no longer be applied to this system. Therefore, a new algorithm for the voltage drop calculation of the dual-battery system is proposed.
Read more