Modelling Battery Behaviour Using Chipset Energy Benchmarking

  • R. Damasevicius Kaunas University of Technology
  • J. Toldinas Kaunas University of Technology
  • G. Grigaravicius Kaunas University of Technology
Keywords: Energy consumption modelling, battery behaviour, time-delay model, power benchmarking

Abstract

Despite advances in low power system design, short battery life remains a significant user concern. Effective management of energy resources available on a mobile device requires understanding of the principles of battery behaviour. We propose a time-delay model of a battery, which depends upon three non-linear processes: rate-capacity effect, recovery effect and software scheduling effect. We provide an analysis of the power consumption results using 3DMark’06 chipset benchmarks and demonstrate that a moderate-to-strong correlation between power consumption vs. CPU load, memory allocation and memory release is observed. Finally, we apply our model for chipset energy efficiency profiling and propose a power benchmark metric.

DOI: http://dx.doi.org/10.5755/j01.eee.19.6.4577

Published
2013-06-10
How to Cite
Damasevicius, R., Toldinas, J., & Grigaravicius, G. (2013). Modelling Battery Behaviour Using Chipset Energy Benchmarking. Elektronika Ir Elektrotechnika, 19(6), 117-120. https://doi.org/10.5755/j01.eee.19.6.4577
Section
SYSTEM ENGINEERING, COMPUTER TECHNOLOGY