Calibration of Ring Oscillator-Based Integrated Temperature Sensors for Power Management Systems

Author:

El-Zarif Nader1ORCID,Amer Mostafa1,Ali Mohamed1ORCID,Hassan Ahmad1ORCID,Oukaira Aziz2ORCID,Fayomi Christian Jesus B.3,Savaria Yvon1

Affiliation:

1. Department of Electrical Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4, Canada

2. Department of Computer Science and Engineering, University of Quebec in Outaouais, Gatineau, QC J8X 3X7, Canada

3. Department of Computer Science, University of Quebec in Montreal, Montreal, QC H3C 3P8, Canada

Abstract

This paper details the development and validation of a temperature sensing methodology using an un-trimmed oscillator-based integrated sensor implemented in the 0.18-μm SOI XFAB process, with a focus on thermal monitoring in system-on-chip (SoC) based DC-DC converters. Our study identifies a quadratic relationship between the oscillator output frequency and temperature, which forms the basis of our proposed calibration mechanism. This mechanism aims at mitigating process variation effects, enabling accurate temperature-to-frequency mapping. Our research proposes and characterizes several trimming-free calibration techniques, covering a spectrum from zero to thirty-one frequency-temperature measurement points. Notably, the Corrected One-Point calibration method, requiring only a single ambient temperature measurement, emerges as a practical solution that removes the need for a temperature chamber. This method, after adjustment, successfully reduces the maximum error to within ±2.95 °C. Additionally, the Two-Point calibration method demonstrates improved precision with a maximum positive error of +1.56 °C at −15 °C and a maximum negative error of −3.13 °C at +10 °C (R2 value of 0.9958). The Three-Point calibration method performed similarly, yielding an R2 value of 0.9956. The findings of this study indicate that competitive results in temperature sensor calibration can be achieved without circuit trimming, offering a viable alternative or a complementary approach to traditional trimming techniques.

Funder

Mathematics of Information Technology and Complex Systems (MITACS) funding agency

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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