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作 者:陈先樑 姜钊 张勇 Chen Xianliang;Jiang Zhao;Zhang Yong(Ningbo Preh Joyson Automotive Electronics Co.,Ltd.,Ningbo 315000,China;Ningbo Joyson Advanced Energy Institute Co.,Ltd.,Ningbo 315000,China;Zhejiang Key Laboratory of Automotive Electronics Intelligentization,Ningbo 315000,China)
机构地区:[1]宁波普瑞均胜汽车电子有限公司,宁波315000 [2]宁波均胜新能源研究院有限公司,宁波315000 [3]浙江省汽车电子智能化重点实验室,宁波315000
出 处:《电子测量技术》2022年第8期64-69,共6页Electronic Measurement Technology
摘 要:为了提升负温度系数热敏电阻温度采样电路的采样精度和速率,针对传统温度采样方案存在的硬件干扰波动大、软件执行效率低以及无法消除不同个体的负温度系数热敏电阻性能差异问题,给出了一种基于优化软硬件性能以及消除温度采样电路整体偏差的方法。通过优化硬件采样电路来消除共因干扰,结合软件的过采样算法并利用Steinhart-Hart方程建立精准的数学模型,再对该温度采样模块进行温度标定进一步消除整体偏差。实验结果表明采用该方法使得温度采样精度由原来的±1.624℃提升到±0.030℃,极大的提高了温度采样的精度。In order to improve the sampling accuracy and rate of the negative temperature coefficient thermistor temperature sampling circuit, in view of the large fluctuation of hardware interference, low software execution efficiency and inability to eliminate the performance differences of the negative temperature coefficient thermistor of different individuals in the traditional temperature sampling scheme, a method based on optimizing the performance of software and hardware and eliminating the overall deviation of the temperature sampling circuit is presented. The common-cause interference is eliminated by optimizing the hardware sampling circuit, combined with the software-oversampling algorithm and using the Steinhart-Hart equation to establish an accurate mathematical model, and then the temperature calibration of the temperature-sampling module is performed to further eliminate the overall deviation. The experimental results show that using this method improves the temperature sampling accuracy from ±1.624 ℃ to ±0.030 ℃, which greatly improves the temperature sampling accuracy.
关 键 词:Steinhardt-Hart方程 NTC 采样电路 非线性拟合 温度标定 自动校准
分 类 号:TM932[电气工程—电力电子与电力传动]
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