808359
doi
10.1109/WCNCW.2017.7919072
oai:zenodo.org:808359
user-eu
Feltre Elisa
University of Padova
Gindullina Elvina
University of Padova
A Markov Model Accounting for Charge Recovery in Energy Harvesting Devices
Badia Leonardo
University of Padova
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
battery management
wireless sensor networks
green design
renewable energy sources
stochastic processes
<p>Energy harvesting is an important feature that can be implemented in mobile devices to provide them with extended autonomy, yet it poses several challenges in terms of optimal battery usage. In this paper, we highlight that some non-ideal effects, especially the so-called "charge recovery," can have a dramatic impact on the operation policy of autonomous devices. To do so, we construct a Markov model, where we introduce a bidimensional battery value, including the apparent energy level, which is what available at the electrodes to power the device, and the actual energy level stored in the battery. When power is not drained by the device, these levels tend to equalize due to charge recovery, but, in the case of intense battery usage, they can be significantly different. We show that this non- ideality leads to considerably different estimates of undesirable events such as battery outages, and may cause a general underutilization of the devices if not properly accounted for.</p>
Zenodo
2017-05-04
info:eu-repo/semantics/conferencePaper
808358
user-eu
award_title=Sustainable CellulAr networks harVEstiNG ambient Energy; award_number=675891; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/675891; funder_id=00k4n6c32; funder_name=European Commission;
1579535208.832201
170346
md5:71eda29cd9c6c9d808110ed80840ef66
https://zenodo.org/records/808359/files/07919072.pdf
public