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本文提出了一种基于NPN的β补偿温度传感器，通过结合低噪声电流模式前端、β补偿方案、动态误差校正和室温校准，同时实现了高精度（±0.1°C 3σ，-55°C至125°C）和高能效（200fJ∙K2 FoM），解决了NPN型传感器精度不足的问题。
The two key performance metrics of BJT-based temperature sensors are their accuracy and energy efficiency. Although NPN-based temperature sensors achieve the best energy efficiency [1], they have not been able to combine this with the accuracy of their PNPbased counterparts [2,3,4]. This paper presents an NPN-based sensor that achieves both state-of-the-art energy efficiency (200fJ∙K2 FoM) and inaccuracy (0.1°C (3σ) from -55°C to 125°C). It does this by combining a low-noise current-mode front-end with a β-compensation scheme, dynamic-error-correction techniques, and room temperature (RT) calibration. Compared to sensors with high accuracy and energy efficiency [2,3,4,6], the proposed sensor is 2× smaller as well as 2× more energy efficient. A simplified block diagram of the proposed sensor is shown in Fig. 3.7.1 (top). Two NPNs Q1 and Q2 with an emitter area ratio ‘r’ are biased at identical collector currents,
Nandor G. Toth, Kofi A. A. Makinwa
Delft University of Technology, Delft, The Netherlands