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高温NTC热敏电阻温度计校准分度特性探究

Calibration and metrological characterization of high-temperature NTC thermistors

  • 摘要: 受限于元件性能及电阻—温度非线性特性,目前NTC热敏电阻温度计使用温度范围主要集中于-50~150℃,且广泛应用于家电、消费电子、汽车等对温度精度要求较低的领域。为解决NTC热敏电阻温度计的应用上限温度较低且宽温域精度较差问题,该研究旨在探索使用温度上限为300℃的高温NTC热敏电阻温度计的校准分度方法。通过对不同B值及R 25值(25℃电阻值)组合的多型高温NTC进行退火、高低温冲击等热处理,筛选符合预期稳定性技术指标的高温NTC,对其使用比较法在恒温槽中进行多个温度点的校准标定。通过计算不同阶数的1/T-lnR连续多项式拟合系数,代入多个非拟合端点,计算获得拟合残差,综合分析多组不同阶数的拟合残差确定最佳拟合阶数。将不同数量的校准点组合代入最佳拟合阶数连续多项式获得拟合系数,代入多个非拟合端点,计算获得拟合残差,综合分析多组不同数量校准点组合的拟合残差确定最佳拟合校准点数量。

     

    Abstract: Constrained by component performance and inherent resistance-temperature nonlinearity, the operational temperature range of NTC thermistor thermometers is currently limited primarily to-50 ℃ to 150 ℃. They are widely deployed in applications with modest temperature accuracy requirements, such as home appliances, consumer electronics, and automotive systems. To overcome the limitations of low upper-temperature tolerance and inadequate wide-range accuracy in conventional NTC thermistors, this research focuses on developing calibration methodologies for high-temperature NTC thermistors with an extended upper operating limit of 300 ℃.Multiple variants of high-temperature NTC thermistors, featuring different combinations of B-constant values and R25 values(resistance at 25 ℃), underwent thermal stabilization processes. These included annealing and high-to-low temperature cyclic stress testing. Specimens meeting predetermined stability metrics were selected through this screening protocol. Selected units were calibrated via the comparison method in precision thermostatic baths across multiple discrete temperature points. Continuous polynomial fits of the 1/T versus ln R relationship were computed at various polynomial orders. Resulting coefficients were applied to calculate fitting residuals at multiple independent validation points(non-fitting points). The optimal polynomial order was determined through systematic evaluation of residuals across different fitting orders. Using this validated optimal polynomial order, calibration coefficients were derived from varying numbers of calibration point combinations. Residuals at validation points were recalculated. A comprehensive residual analysis across different calibration point quantities established the optimal number of calibration points.

     

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