Energy-Efficient Start-up Power Management for Batteryless Biomedical Implant Devices

Oo Htet, K., Zhao, J., Ghannam, R. and Heidari, H. (2019) Energy-Efficient Start-up Power Management for Batteryless Biomedical Implant Devices. In: 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Bordeaux, France, 9-12 Dec 2018, pp. 597-600. ISBN 9781538695623 (doi:10.1109/ICECS.2018.8617874)

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Abstract

This paper presents a solar energy harvesting power management using the high-efficiency switched capacitor DC-DC converter for biomedical implant applications. By employing an on-chip start-up circuit with parallel connected Photovoltaic (PV) cells, a small efficiency improvement can be obtained when compared with the traditional stacked photodiode methodology to boost the harvested voltage while preserving a single-chip solution. The PV cells have been optimised in the PC1D software and the optimal parameters modelled in the Cadence environment. A cross-coupled circuit with level shifter loop is also proposed to improve the overall step up voltage output and hybrid converter increases the start-up speed by 23.5%. The proposed system is implemented in a standard 0.18-μm CMOS technology. Simulation results show that the 4-phase start-up and cross coupled with level-shifter can achieve a maximum efficiency of 60%.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ghannam, Dr Rami and Heidari, Dr Hadi and Oo Htet, Kaung and Zhao, Mr Jinwei
Authors: Oo Htet, K., Zhao, J., Ghannam, R., and Heidari, H.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
ISBN:9781538695623
Published Online:21 January 2019
Copyright Holders:Copyright © 2018 IEEE
First Published:First published in 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS): 597-600
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3032700FET-Open Challenging Current Thinking: Magnetic-Assisted Neuromorphic Computing SystemHadi HeidariScottish Funding Council (SFC)PEER1718/03ENG - Electronics & Nanoscale Engineering