Power Management Circuits for Miniature Sensor Systems.
dc.contributor.author | Lee, In Hee | en_US |
dc.date.accessioned | 2015-01-30T20:14:09Z | |
dc.date.available | 2015-01-30T20:14:09Z | |
dc.date.issued | 2014 | en_US |
dc.date.submitted | 2014 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/110501 | |
dc.description.abstract | Miniature sensor nodes have recently opened new markets in VLSI design. In the continuation of Bell's Law, computing systems have been shrunk down to cubic-millimeter scale (e.g. Michigan micro-mote). Especially, since the concept of "Smart Dust" was proposed, rapid advances in low-power wireless sensor nodes are driving the realization of Internet of Things. With unique features such as wireless communication, energy harvesting, hard-to-reach location, and no-invasive and secure placement, the sensor nodes have been developed for a number of applications such as medical, infrastructure, and surveillance. There are many challenges to realize a miniature sensing system. One of the most critical challenges is the small battery storage capacity. Since the battery size is severely limited, battery storage capacity is also reduced. As a result, low-power circuit design and energy harvesting techniques need to be investigated to allow operation on extremely small power budgets. In miniature sensing systems, there are four different energy flows: 1) energy harvester from a source to a battery, 2) power delivery circuits from a battery to loading circuits, 3) always-on circuits, 4) duty-cycled circuits. Available energy from an energy source changes depending on the environmental condition. Load current also changes considerably due to duty-cycle operation. In this dynamic system, a smart way to optimize an energy harvester and a power converter are required. To minimize average power consumption for longer lifetime, always-on circuits should be designed with lower power than the extremely low system standby power budget. Also, duty-cycled circuits need to be turned off to maintain low standby power. In this dissertation, to satisfy these requirements, circuits such as a constant energy-per-cycle ring oscillator over wide frequency range and a low power maximum power point tracking circuit are discussed. Also, a low power battery supervisory circuit and a battery health monitoring circuit are covered. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | miniature sensor | en_US |
dc.subject | internet of things | en_US |
dc.subject | smart dust | en_US |
dc.subject | wireless sensor node | en_US |
dc.subject | power management | en_US |
dc.subject | battery supervisor | en_US |
dc.title | Power Management Circuits for Miniature Sensor Systems. | en_US |
dc.type | Thesis | en_US |
dc.description.thesisdegreename | PhD | en_US |
dc.description.thesisdegreediscipline | Electrical Engineering | en_US |
dc.description.thesisdegreegrantor | University of Michigan, Horace H. Rackham School of Graduate Studies | en_US |
dc.contributor.committeemember | Blaauw, David | en_US |
dc.contributor.committeemember | Scruggs, Jeffrey T. | en_US |
dc.contributor.committeemember | Sylvester, Dennis Michael | en_US |
dc.contributor.committeemember | Flynn, Michael | en_US |
dc.subject.hlbsecondlevel | Electrical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/110501/1/inhee_1.pdf | |
dc.owningcollname | Dissertations and Theses (Ph.D. and Master's) |
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