Name
Title | ||
|---|---|---|
Autonomous maximum power point tracking algorithm for ultra-low power energy harvesting |
Abstract | ||
|---|---|---|
An ultra-low power autonomous MPPT algorithm that maximizes the efficiency of a monolithic 0.98mm(2) solar harvester is presented. Using only the pn-junctions of the standard 130nm single n-well process, the monolithic harvester can serve as supply for wireless sensor grains. Based on the perturbation and observation method, the MPPT algorithm maximizes the output current of the integrated charge pump. The proposed approach inherently optimizes the system efficiency by automatically considering parasitic losses and source characteristics while requiring less than 100 nA supply current. This paper includes a theory section describing the maximum power flow from the illuminated pn-junction to an on-chip charge pump capacitor. Based on these results the analog algorithm is determined and described in detail introducing a resistorless high side current sensor for 100 nA to 1 mA. Concluding with measurement results regarding the tracking efficiency, a maximum deviation from the simulated loaded optimum input voltage of 3% is shown. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MWSCAS.2017.8053187 | Midwest Symposium on Circuits and Systems Conference Proceedings |
Keywords | Field | DocType |
monolithic,on-chip solar cell,energy harvesting,charge pump,maximum power point tracking,perturbation and observation | Capacitor,Computer science,Control theory,Voltage,Energy harvesting,Maximum power point tracking,Electronic engineering,Current sensor,Charge pump,Maximum power principle,Low-power electronics | Conference |
ISSN | Citations | PageRank |
1548-3746 | 0 | 0.34 |
References | Authors | |
2 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christoph Steffan | 1 | 0 | 0.34 |
| Philipp Greiner | 2 | 0 | 0.34 |
| Carolin Kollegger | 3 | 3 | 3.31 |
| Inge Siegl | 4 | 0 | 0.34 |
| Gerald Holweg | 5 | 92 | 19.64 |
| Bernd Deutschmann | 6 | 7 | 8.35 |