RT Journal Article
A1 M.R. Jongerden
A1 B.R. Haverkort

PB iet
T1 Which battery model to use?
JN IET Software
VO 3
IS 6
SP 445
OP 457
AB The use of mobile devices like cell phones, navigation systems or laptop computers is limited by the lifetime of the included batteries. This lifetime depends naturally on the rate at which energy is consumed; however, it also depends on the usage pattern of the battery. Continuous drawing of a high current results in an excessive drop of residual capacity. However, during intervals with no or very small currents, batteries do recover to a certain extent. The usage pattern of a device can be well modelled with stochastic workload models. However, one still needs a battery model to describe the effects of the power consumption on the state of the battery. Over the years many different types of battery models have been developed for different application areas. In this study we give a detailed analysis of two well-known analytical models, the kinetic battery model (KiBaM) and the so-called diffusion model. We show that the KiBaM is actually an approximation of the more complex diffusion model; this was not known previously. Furthermore, we tested the suitability of these models for performance evaluation purposes, and found that both models are well suited for doing battery lifetime predictions. However, one should not draw conclusions on what is the best usage pattern based on only a few workload traces.
K1 stochastic workload models
K1 battery model
K1 laptop computers
K1 navigation systems
K1 kinetic battery model
K1 diffusion model
K1 mobile devices
K1 cell phones
DO https://doi.org/10.1049/iet-sen.2009.0001
UL https://digital-library.theiet.org/;jsessionid=19lxrhxl1ridl.x-iet-live-01content/journals/10.1049/iet-sen.2009.0001
LA English
SN 1751-8806
YR 2009
OL EN