Automated Data Collection for Modelling Texas Instruments Ultra Low-Power Chargers

dc.contributor.authorMasoudinejad, Mojtaba
dc.date.accessioned2018-10-11T11:39:45Z
dc.date.available2018-10-11T11:39:45Z
dc.date.issued2017-07
dc.description.abstractSome IoT designers develop their ad-hoc conversion solution specifically designed for their entity. However, having Maximum Power Point Tracking (MPPT), battery control, converter and switching logic would require a series of components. These devices will increase the initial cost and the overall energy loss overhead of this middle-ware between the EH and the storage. Nevertheless, these issues can be conquered by integrating all these elements and logics into one single chip. Currently, there are three Texas Instruments (TI) chips from the BQ255XX series and ST (SPV1050) chip available on-the-shelf, specially designed for low energy environments. Among them, TI's BQ25505 and BQ25570 chips promise a better performance out of the box and are dominant in the market. Although multiple designers have used these chips in their IoT devices, no analytical analysis on them is available. Some basic information about these devices are available through their datasheets. However, for a reliable design and fast analysis of the overall energy performance of an IoT device, these chips have to be modelled.en
dc.identifier.urihttp://hdl.handle.net/2003/37155
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-19151
dc.language.isoende
dc.relation.ispartofseriesTechnical report / Sonderforschungsbereich Verfügbarkeit von Information durch Analyse unter Ressourcenbeschränkung;4/2017
dc.subjectInternet of Thingsen
dc.subjectCyber Physical Systemsen
dc.subjectUltra Low-Poweren
dc.subject.ddc004
dc.subject.rswkInternet der Dingede
dc.subject.rswkCyber-physisches Systemde
dc.titleAutomated Data Collection for Modelling Texas Instruments Ultra Low-Power Chargersen
dc.typeTextde
dc.type.publicationtypereportde
dcterms.accessRightsopen access
eldorado.secondarypublicationfalsede

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