Autonomous maximum power point tracking algorithm for ultra-low power energy harvesting

Christoph Steffan; Philipp Greiner; Carolin Kollegger; Inge Siegl; Gerald Holweg; Bernd Deutschmann

doi:10.1109/MWSCAS.2017.8053187

Autonomous maximum power point tracking algorithm for ultra-low power energy harvesting

Christoph Steffan, Philipp Greiner, Carolin Kollegger, Inge Siegl, Gerald Holweg, Bernd Deutschmann

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

An ultra-low power autonomous MPPT algorithm that maximizes the efficiency of a monolithic 0.98 mm² solar harvester is presented. Using only the pn-junctions of the standard 130 nm 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.

Original language	English
Title of host publication	2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017
Publisher	Institute of Electrical and Electronics Engineers
Pages	1372-1375
Number of pages	4
Volume	2017-August
ISBN (Electronic)	9781509063895
DOIs	https://doi.org/10.1109/MWSCAS.2017.8053187
Publication status	Published - 27 Sept 2017
Event	60th IEEE International Midwest Symposium on Circuits and Systems - Boston, United States Duration: 6 Aug 2017 → 9 Aug 2017

Conference

Conference	60th IEEE International Midwest Symposium on Circuits and Systems
Abbreviated title	MWSCAS 2017
Country/Territory	United States
City	Boston
Period	6/08/17 → 9/08/17

Keywords

Charge pump
Energy harvesting
Maximum power point tracking
Monolithic
On-chip solar cell
Perturbation and observation

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Access to Document

10.1109/MWSCAS.2017.8053187

Cite this

Steffan, C., Greiner, P., Kollegger, C., Siegl, I., Holweg, G., & Deutschmann, B. (2017). Autonomous maximum power point tracking algorithm for ultra-low power energy harvesting. In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017 (Vol. 2017-August, pp. 1372-1375). Article 8053187 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/MWSCAS.2017.8053187

Autonomous maximum power point tracking algorithm for ultra-low power energy harvesting. / Steffan, Christoph; Greiner, Philipp; Kollegger, Carolin et al.
2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017. Vol. 2017-August Institute of Electrical and Electronics Engineers, 2017. p. 1372-1375 8053187.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Steffan, C, Greiner, P, Kollegger, C, Siegl, I, Holweg, G & Deutschmann, B 2017, Autonomous maximum power point tracking algorithm for ultra-low power energy harvesting. in 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017. vol. 2017-August, 8053187, Institute of Electrical and Electronics Engineers, pp. 1372-1375, 60th IEEE International Midwest Symposium on Circuits and Systems, Boston, United States, 6/08/17. https://doi.org/10.1109/MWSCAS.2017.8053187

Steffan C, Greiner P, Kollegger C, Siegl I, Holweg G, Deutschmann B. Autonomous maximum power point tracking algorithm for ultra-low power energy harvesting. In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017. Vol. 2017-August. Institute of Electrical and Electronics Engineers. 2017. p. 1372-1375. 8053187 doi: 10.1109/MWSCAS.2017.8053187

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abstract = "An ultra-low power autonomous MPPT algorithm that maximizes the efficiency of a monolithic 0.98 mm2 solar harvester is presented. Using only the pn-junctions of the standard 130 nm 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.",

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AU - Deutschmann, Bernd

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Autonomous maximum power point tracking algorithm for ultra-low power energy harvesting

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Keywords

ASJC Scopus subject areas

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