TY - GEN
T1 - Cmos indoor light energy harvesting system for wireless sensing applications
T2 - 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016
AU - Carvalho, Carlos
AU - Paulino, Nuno
N1 - This work was supported by the Portuguese Foundation for Science and Technology (FCT/MCTES) (CTS multiannual funding) through the PIDDAC Program funds and by the grant SFRH/PROTEC/67683/2010, financially supported by the Instituto Politecnico de Lisboa. The authors wish to thank to Dr. Guilherme Lavareda, for his help on the subject of PV cells and for having produced the a-Si PV cells used to assess the proposed system.
PY - 2016
Y1 - 2016
N2 - This paper presents an overview of the PhD thesis “CMOS indoor light energy harvesting system for wireless sensing applications”, whose main goal was designing a micro-power light energy harvesting system for indoor scenarios, addressing the challenges associated with this kind of environment. Light energy was taken in by using an amorphous silicon (a-Si) photovoltaic (PV) cell and conditioned using a switched-capacitor (SC) voltage converter, along with a maximum power point tracking (MPPT) capability. The MPPT method was the Fractional VOC, put into practice by using an asynchronous state machine (ASM) which automatically establishes and controls the clock signals’ frequency, thus controlling the switches of the voltage converter. To minimize the area of the SC section, MOSFET capacitors were used. A charge reusing scheme was proposed, so as to decrease the loss through the parasitic capacitance of their bottom plate. Laboratorial results, taken from a CMOS solid-state prototype, show that the proposed system can achieve better results than those in the present state of the art.
AB - This paper presents an overview of the PhD thesis “CMOS indoor light energy harvesting system for wireless sensing applications”, whose main goal was designing a micro-power light energy harvesting system for indoor scenarios, addressing the challenges associated with this kind of environment. Light energy was taken in by using an amorphous silicon (a-Si) photovoltaic (PV) cell and conditioned using a switched-capacitor (SC) voltage converter, along with a maximum power point tracking (MPPT) capability. The MPPT method was the Fractional VOC, put into practice by using an asynchronous state machine (ASM) which automatically establishes and controls the clock signals’ frequency, thus controlling the switches of the voltage converter. To minimize the area of the SC section, MOSFET capacitors were used. A charge reusing scheme was proposed, so as to decrease the loss through the parasitic capacitance of their bottom plate. Laboratorial results, taken from a CMOS solid-state prototype, show that the proposed system can achieve better results than those in the present state of the art.
KW - CMOS integrated circuits
KW - Energy harvesting
KW - MPPT
KW - Power conditioning
KW - PV cells
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84962091327&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-31165-4_19
DO - 10.1007/978-3-319-31165-4_19
M3 - Conference contribution
AN - SCOPUS:84962091327
SN - 978-3-319-31164-7
T3 - IFIP Advances in Information and Communication Technology
SP - 178
EP - 194
BT - Technological Innovation for Cyber-Physical Systems - 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Proceedings
A2 - Camarinha-Matos, L. M.
A2 - Falcão, A. J.
A2 - Vafaei, N.
A2 - Najdi, S.
PB - Springer
CY - Cham
Y2 - 11 April 2016 through 13 April 2016
ER -
