El-Zarif Nader, Amer Mostafa, Ali Mohamed, Hassan Ahmad, Oukaira Aziz, Fayomi Christian Jesus B, Savaria Yvon
Department of Electrical Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4, Canada.
Department of Computer Science and Engineering, University of Quebec in Outaouais, Gatineau, QC J8X 3X7, Canada.
Sensors (Basel). 2024 Jan 11;24(2):0. doi: 10.3390/s24020440.
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.
本文详细介绍了一种基于未调整振荡器的集成传感器的温度传感方法的开发与验证,该传感器采用0.18μm SOI XFAB工艺实现,重点关注基于片上系统(SoC)的DC-DC转换器中的热监测。我们的研究确定了振荡器输出频率与温度之间的二次关系,这构成了我们提出的校准机制的基础。该机制旨在减轻工艺变化的影响,实现准确的温度-频率映射。我们的研究提出并表征了几种无需调整的校准技术,涵盖从零到三十一个频率-温度测量点的范围。值得注意的是,校正单点校准方法仅需单次环境温度测量,是一种无需温度室的实用解决方案。调整后,该方法成功将最大误差降低至±2.95°C以内。此外,两点校准方法显示出更高的精度,在-15°C时最大正误差为+1.56°C,在+10°C时最大负误差为-3.13°C(R2值为0.9958)。三点校准方法表现类似,R2值为0.9956。本研究结果表明,无需电路调整即可在温度传感器校准中取得具有竞争力的结果,为传统调整技术提供了可行的替代方案或补充方法。