Lifetime Improvement by Battery Scheduling

M.R. Jongerden, Jens B. Schmitt (Editor), Boudewijn R.H.M. Haverkort

Research output: Contribution to conferencePaper

Abstract

The use of mobile devices is often limited by the lifetime of their batteries. For devices that have multiple batteries or that have the option to connect an extra battery, battery scheduling, thereby exploiting the recovery properties of the batteries, can help to extend the system lifetime. Due to the complexity, work on battery scheduling in literature is limited to either small batteries or to very simple loads. In this paper, we present an approach using the Kinetic Battery Model that combines real size batteries with realistic random loads. The results show that, indeed, battery scheduling results in lifetime improvements compared to the sequential useage of the batteries. The improvements mainly depend on the ratio between the average discharge current and the battery capacity. Our results show that for realistic loads one can achieve up to 20% improvements in system lifetime by applying battery scheduling.

Conference

Conference16th International GI/ITG Conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance, MMB & DFT 2012
Abbreviated titleMMB & DFT
CountryGermany
CityKaiserslautern
Period19/03/1221/03/12

Fingerprint

Scheduling
Mobile devices
Recovery
Kinetics

Keywords

  • EWI-21722
  • IR-80114

Cite this

Jongerden, M. R., Schmitt, J. B. (Ed.), & Haverkort, B. R. H. M. (2012). Lifetime Improvement by Battery Scheduling. 106-120. Paper presented at 16th International GI/ITG Conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance, MMB & DFT 2012, Kaiserslautern, Germany.DOI: 10.1007/978-3-642-28540-0_8
Jongerden, M.R. ; Schmitt, Jens B. (Editor) ; Haverkort, Boudewijn R.H.M./ Lifetime Improvement by Battery Scheduling. Paper presented at 16th International GI/ITG Conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance, MMB & DFT 2012, Kaiserslautern, Germany.15 p.
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title = "Lifetime Improvement by Battery Scheduling",
abstract = "The use of mobile devices is often limited by the lifetime of their batteries. For devices that have multiple batteries or that have the option to connect an extra battery, battery scheduling, thereby exploiting the recovery properties of the batteries, can help to extend the system lifetime. Due to the complexity, work on battery scheduling in literature is limited to either small batteries or to very simple loads. In this paper, we present an approach using the Kinetic Battery Model that combines real size batteries with realistic random loads. The results show that, indeed, battery scheduling results in lifetime improvements compared to the sequential useage of the batteries. The improvements mainly depend on the ratio between the average discharge current and the battery capacity. Our results show that for realistic loads one can achieve up to 20{\%} improvements in system lifetime by applying battery scheduling.",
keywords = "EWI-21722, IR-80114",
author = "M.R. Jongerden and Schmitt, {Jens B.} and Haverkort, {Boudewijn R.H.M.}",
year = "2012",
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language = "English",
pages = "106--120",
note = "16th International GI/ITG Conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance, MMB & DFT 2012, MMB & DFT ; Conference date: 19-03-2012 Through 21-03-2012",

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Jongerden, MR, Schmitt, JB (ed.) & Haverkort, BRHM 2012, 'Lifetime Improvement by Battery Scheduling' Paper presented at 16th International GI/ITG Conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance, MMB & DFT 2012, Kaiserslautern, Germany, 19/03/12 - 21/03/12, pp. 106-120. DOI: 10.1007/978-3-642-28540-0_8

Lifetime Improvement by Battery Scheduling. / Jongerden, M.R.; Schmitt, Jens B. (Editor); Haverkort, Boudewijn R.H.M.

2012. 106-120 Paper presented at 16th International GI/ITG Conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance, MMB & DFT 2012, Kaiserslautern, Germany.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Lifetime Improvement by Battery Scheduling

AU - Jongerden,M.R.

AU - Haverkort,Boudewijn R.H.M.

A2 - Schmitt,Jens B.

PY - 2012/3

Y1 - 2012/3

N2 - The use of mobile devices is often limited by the lifetime of their batteries. For devices that have multiple batteries or that have the option to connect an extra battery, battery scheduling, thereby exploiting the recovery properties of the batteries, can help to extend the system lifetime. Due to the complexity, work on battery scheduling in literature is limited to either small batteries or to very simple loads. In this paper, we present an approach using the Kinetic Battery Model that combines real size batteries with realistic random loads. The results show that, indeed, battery scheduling results in lifetime improvements compared to the sequential useage of the batteries. The improvements mainly depend on the ratio between the average discharge current and the battery capacity. Our results show that for realistic loads one can achieve up to 20% improvements in system lifetime by applying battery scheduling.

AB - The use of mobile devices is often limited by the lifetime of their batteries. For devices that have multiple batteries or that have the option to connect an extra battery, battery scheduling, thereby exploiting the recovery properties of the batteries, can help to extend the system lifetime. Due to the complexity, work on battery scheduling in literature is limited to either small batteries or to very simple loads. In this paper, we present an approach using the Kinetic Battery Model that combines real size batteries with realistic random loads. The results show that, indeed, battery scheduling results in lifetime improvements compared to the sequential useage of the batteries. The improvements mainly depend on the ratio between the average discharge current and the battery capacity. Our results show that for realistic loads one can achieve up to 20% improvements in system lifetime by applying battery scheduling.

KW - EWI-21722

KW - IR-80114

U2 - 10.1007/978-3-642-28540-0_8

DO - 10.1007/978-3-642-28540-0_8

M3 - Paper

SP - 106

EP - 120

ER -

Jongerden MR, Schmitt JB, (ed.), Haverkort BRHM. Lifetime Improvement by Battery Scheduling. 2012. Paper presented at 16th International GI/ITG Conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance, MMB & DFT 2012, Kaiserslautern, Germany. Available from, DOI: 10.1007/978-3-642-28540-0_8