A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems

Erik Ramsgaard Wognsen; Boudewijn R. Haverkort; Marijn Jongerden; René Rydhof Hansen; Kim Guldstrand Larsen

doi:10.1007/978-3-319-22975-1_20

A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems

Erik Ramsgaard Wognsen, Boudewijn R. Haverkort, Marijn Jongerden, René Rydhof Hansen, Kim Guldstrand Larsen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

20 Citations (Scopus)

585 Downloads (Pure)

Abstract

An ever increasing share of embedded systems is powered by rechargeable batteries. These batteries deteriorate with the number of charge/discharge cycles they are subjected to, the so-called cycle life. In this paper, we propose the wear score function to compare and evaluate the relative impact of usage (charge and discharge) profiles on cycle life. The wear score function can not only be used to rank different usage profiles, these rankings can also be used as a criterion for optimizing the overall lifetime of a battery-powered system. We perform such an optimization on a nano-satellite case study provided by the company GomSpace. The scheduling of the system is modelled as a network of (stochastic) weighted timed games. In a stochastic setting, exact optimization is very expensive. However, the recently introduced Uppaal Stratego tool combines symbolic synthesis with statistical model checking and reinforcement learning to synthesize near-optimal scheduling strategies subject to possible hard timing-constaints. We use this to study the trade-off between optimal short-term dynamic payload selection and the operational life of the satellite.

Original language	English
Title of host publication	Formal Modeling and Analysis of Timed Systems
Subtitle of host publication	13th International Conference, FORMATS 2015, Madrid, Spain, September 2-4, 2015, Proceedings
Editors	Sriram Sankaranarayanan, Enrico Vicario
Place of Publication	Cham
Publisher	Springer
Pages	305-320
Number of pages	16
ISBN (Electronic)	978-3-319-22975-1
ISBN (Print)	978-3-319-22974-4
DOIs	https://doi.org/10.1007/978-3-319-22975-1_20
Publication status	Published - Sept 2015
Event	13th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2015 - Universidad Complutense de Madrid, Madrid, Spain Duration: 2 Sept 2015 → 4 Sept 2015 Conference number: 13 http://formats2015.unifi.it/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Volume	9268
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2015
Abbreviated title	FORMATS
Country/Territory	Spain
City	Madrid
Period	2/09/15 → 4/09/15
Internet address	http://formats2015.unifi.it/

Keywords

EC Grant Agreement nr.: FP7/318490
Cycle-life battery
EC Grant Agreement nr.: FP7/2007-2013
Uppaal stratego
Battery aging
n/a OA procedure

Access to Document

10.1007/978-3-319-22975-1_20

Cite this

Wognsen, E. R., Haverkort, B. R., Jongerden, M., Hansen, R. R., & Larsen, K. G. (2015). A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems. In S. Sankaranarayanan, & E. Vicario (Eds.), Formal Modeling and Analysis of Timed Systems: 13th International Conference, FORMATS 2015, Madrid, Spain, September 2-4, 2015, Proceedings (pp. 305-320). (Lecture Notes in Computer Science; Vol. 9268). Springer. https://doi.org/10.1007/978-3-319-22975-1_20

Wognsen, Erik Ramsgaard ; Haverkort, Boudewijn R. ; Jongerden, Marijn et al. / A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems. Formal Modeling and Analysis of Timed Systems: 13th International Conference, FORMATS 2015, Madrid, Spain, September 2-4, 2015, Proceedings. editor / Sriram Sankaranarayanan ; Enrico Vicario. Cham : Springer, 2015. pp. 305-320 (Lecture Notes in Computer Science).

@inproceedings{01974344d97d4221a7458f96cf1ea732,

title = "A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems",

abstract = "An ever increasing share of embedded systems is powered by rechargeable batteries. These batteries deteriorate with the number of charge/discharge cycles they are subjected to, the so-called cycle life. In this paper, we propose the wear score function to compare and evaluate the relative impact of usage (charge and discharge) profiles on cycle life. The wear score function can not only be used to rank different usage profiles, these rankings can also be used as a criterion for optimizing the overall lifetime of a battery-powered system. We perform such an optimization on a nano-satellite case study provided by the company GomSpace. The scheduling of the system is modelled as a network of (stochastic) weighted timed games. In a stochastic setting, exact optimization is very expensive. However, the recently introduced Uppaal Stratego tool combines symbolic synthesis with statistical model checking and reinforcement learning to synthesize near-optimal scheduling strategies subject to possible hard timing-constaints. We use this to study the trade-off between optimal short-term dynamic payload selection and the operational life of the satellite.",

keywords = "EC Grant Agreement nr.: FP7/318490, Cycle-life battery, EC Grant Agreement nr.: FP7/2007-2013, Uppaal stratego, Battery aging, n/a OA procedure",

author = "Wognsen, {Erik Ramsgaard} and Haverkort, {Boudewijn R.} and Marijn Jongerden and Hansen, {Ren{\'e} Rydhof} and Larsen, {Kim Guldstrand}",

year = "2015",

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doi = "10.1007/978-3-319-22975-1_20",

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editor = "Sriram Sankaranarayanan and Enrico Vicario",

booktitle = "Formal Modeling and Analysis of Timed Systems",

address = "Germany",

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Wognsen, ER, Haverkort, BR, Jongerden, M, Hansen, RR & Larsen, KG 2015, A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems. in S Sankaranarayanan & E Vicario (eds), Formal Modeling and Analysis of Timed Systems: 13th International Conference, FORMATS 2015, Madrid, Spain, September 2-4, 2015, Proceedings. Lecture Notes in Computer Science, vol. 9268, Springer, Cham, pp. 305-320, 13th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2015, Madrid, Spain, 2/09/15. https://doi.org/10.1007/978-3-319-22975-1_20

A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems. / Wognsen, Erik Ramsgaard; Haverkort, Boudewijn R.; Jongerden, Marijn et al.
Formal Modeling and Analysis of Timed Systems: 13th International Conference, FORMATS 2015, Madrid, Spain, September 2-4, 2015, Proceedings. ed. / Sriram Sankaranarayanan; Enrico Vicario. Cham: Springer, 2015. p. 305-320 (Lecture Notes in Computer Science; Vol. 9268).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems

AU - Wognsen, Erik Ramsgaard

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AU - Larsen, Kim Guldstrand

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N2 - An ever increasing share of embedded systems is powered by rechargeable batteries. These batteries deteriorate with the number of charge/discharge cycles they are subjected to, the so-called cycle life. In this paper, we propose the wear score function to compare and evaluate the relative impact of usage (charge and discharge) profiles on cycle life. The wear score function can not only be used to rank different usage profiles, these rankings can also be used as a criterion for optimizing the overall lifetime of a battery-powered system. We perform such an optimization on a nano-satellite case study provided by the company GomSpace. The scheduling of the system is modelled as a network of (stochastic) weighted timed games. In a stochastic setting, exact optimization is very expensive. However, the recently introduced Uppaal Stratego tool combines symbolic synthesis with statistical model checking and reinforcement learning to synthesize near-optimal scheduling strategies subject to possible hard timing-constaints. We use this to study the trade-off between optimal short-term dynamic payload selection and the operational life of the satellite.

AB - An ever increasing share of embedded systems is powered by rechargeable batteries. These batteries deteriorate with the number of charge/discharge cycles they are subjected to, the so-called cycle life. In this paper, we propose the wear score function to compare and evaluate the relative impact of usage (charge and discharge) profiles on cycle life. The wear score function can not only be used to rank different usage profiles, these rankings can also be used as a criterion for optimizing the overall lifetime of a battery-powered system. We perform such an optimization on a nano-satellite case study provided by the company GomSpace. The scheduling of the system is modelled as a network of (stochastic) weighted timed games. In a stochastic setting, exact optimization is very expensive. However, the recently introduced Uppaal Stratego tool combines symbolic synthesis with statistical model checking and reinforcement learning to synthesize near-optimal scheduling strategies subject to possible hard timing-constaints. We use this to study the trade-off between optimal short-term dynamic payload selection and the operational life of the satellite.

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KW - EC Grant Agreement nr.: FP7/2007-2013

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KW - Battery aging

KW - n/a OA procedure

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A2 - Vicario, Enrico

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CY - Cham

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Y2 - 2 September 2015 through 4 September 2015

ER -

Wognsen ER, Haverkort BR, Jongerden M, Hansen RR, Larsen KG. A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems. In Sankaranarayanan S, Vicario E, editors, Formal Modeling and Analysis of Timed Systems: 13th International Conference, FORMATS 2015, Madrid, Spain, September 2-4, 2015, Proceedings. Cham: Springer. 2015. p. 305-320. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-22975-1_20

A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems

Abstract

Publication series

Conference

Keywords

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