A 310 nA DCM Hysteretic Buck CoA 310 nA DCM Hysteretic Buck Converter With 95.8% Peak Efficiency and Greater Than 90% Efficiency in 10 μA–100 mA Load Range for Battery Powered IoT Sensors

A 310 nA DCM Hysteretic Buck CoA 310 nA DCM Hysteretic Buck Converter With 95.8% Peak Efficiency and Greater Than 90% Efficiency in 10 μA–100 mA Load Range for Battery Powered IoT Sensors

IEEE Transactions on Circuits and Systems I: Regular Papers

10.1109/TCSI.2025.3572340

https://doi.org/10.1109/tcsi.2025.3572340

Ziming Liu, Wang Ling Goh, Liter Siek, Yuan Gao

03 June 2025

Liu, Z., Goh, W. L., Siek, L., & Gao, Y. (2025). A 310 nA DCM Hysteretic Buck Converter With 95.8% Peak Efficiency and Greater Than 90% Efficiency in 10 μA–100 mA Load Range for Battery Powered IoT Sensors. IEEE Transactions on Circuits and Systems I: Regular Papers, 72(11), 6691–6700. https://doi.org/10.1109/tcsi.2025.3572340

This paper presents a discontinuous conduction mode (DCM) hysteretic buck converter for battery-powered Internet of Things (IoT) sensors. To reduce the quiescent power consumption, a duty-cycled comparator with delay compensation feedback loop is used in the zero current detector (ZCD). This feedback loop generates a self-calibrated comparator input offset to compensate for the comparator propagation delay. Additionally, a dynamic biasing scheme is applied to the hysteretic comparator to enhance the conversion efficiency under light load. The proposed buck converter was implemented in a 55-nm CMOS BCDLite process with an active area of 0.76 mm ×0.69 mm. With 310 nA quiescent current, this buck converter supports load currents in the range of 1 μ A - 300 mA with output voltage 0.8 V - 2.2 V. In particular, greater than 90% efficiency is maintained for load current from 10 μ A to 100 mA with 95.8% peak efficiency.

Publisher Copyright

This research / project is supported by the Agency for Science, Technology and Research (A*STAR) - High Linearity Silicon Germanium Photonic Modulator for 6G Analog Radio over Fiber Project
Grant Reference no. : M24M8b0004.

This research / project is supported by the A*STAR - Nanosystems at the Edge programme
Grant Reference no. : A18A1b0055

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