Predictive performance estimation for a dual-battery system in mild-hybrid vehicles
Continuously increasing requirements for on-board 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 “starting lightening ignition” battery. As this system is not able t...
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doaj-e2cd5b9031d845eba9db5b092b01d4532020-11-24T23:08:00ZdeuCopernicus PublicationsAdvances in Radio Science 1684-99651684-99732016-09-0114778310.5194/ars-14-77-2016Predictive performance estimation for a dual-battery system in mild-hybrid vehiclesD. Renner0P. Jansen1D. Vergossen2W. John3S. Frei4Audi Electronics Venture GmbH, Gaimersheim, GermanyAudi Electronics Venture GmbH, Gaimersheim, GermanyAudi Electronics Venture GmbH, Gaimersheim, GermanySiL GmbH, Paderborn, GermanyTU Dortmund University, AG On-Board Systems, Dortmund, GermanyContinuously increasing requirements for on-board 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 “starting lightening ignition” battery. As this system is not able to control the current share between the two batteries, its performance depends on the actual battery specific operating points.The initial conditions of state of charge, voltage level and temperature influence the current share and lead to a different voltage drop of the system. This paper yields to, the basic understanding of the current share between the two batteries. 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. Measurements at different temperatures, states of charge and voltage levels show the system behavior and prove the functionality of the algorithm.http://www.adv-radio-sci.net/14/77/2016/ars-14-77-2016.pdf |
collection |
DOAJ |
language |
deu |
format |
Article |
sources |
DOAJ |
author |
D. Renner P. Jansen D. Vergossen W. John S. Frei |
spellingShingle |
D. Renner P. Jansen D. Vergossen W. John S. Frei Predictive performance estimation for a dual-battery system in mild-hybrid vehicles Advances in Radio Science |
author_facet |
D. Renner P. Jansen D. Vergossen W. John S. Frei |
author_sort |
D. Renner |
title |
Predictive performance estimation for a dual-battery system in mild-hybrid vehicles |
title_short |
Predictive performance estimation for a dual-battery system in mild-hybrid vehicles |
title_full |
Predictive performance estimation for a dual-battery system in mild-hybrid vehicles |
title_fullStr |
Predictive performance estimation for a dual-battery system in mild-hybrid vehicles |
title_full_unstemmed |
Predictive performance estimation for a dual-battery system in mild-hybrid vehicles |
title_sort |
predictive performance estimation for a dual-battery system in mild-hybrid vehicles |
publisher |
Copernicus Publications |
series |
Advances in Radio Science |
issn |
1684-9965 1684-9973 |
publishDate |
2016-09-01 |
description |
Continuously increasing requirements for on-board 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
“starting lightening ignition” battery. As this system is not able to
control the current share between the two batteries, its performance depends
on the actual battery specific operating points.The initial conditions of
state of charge, voltage level and temperature influence the current share
and lead to a different voltage drop of the system. This paper yields to, the
basic understanding of the current share between the two batteries. 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. Measurements
at different temperatures, states of charge and voltage levels show the
system behavior and prove the functionality of the algorithm. |
url |
http://www.adv-radio-sci.net/14/77/2016/ars-14-77-2016.pdf |
work_keys_str_mv |
AT drenner predictiveperformanceestimationforadualbatterysysteminmildhybridvehicles AT pjansen predictiveperformanceestimationforadualbatterysysteminmildhybridvehicles AT dvergossen predictiveperformanceestimationforadualbatterysysteminmildhybridvehicles AT wjohn predictiveperformanceestimationforadualbatterysysteminmildhybridvehicles AT sfrei predictiveperformanceestimationforadualbatterysysteminmildhybridvehicles |
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1725615913708814336 |