基于物联网的双校准分容化成校验系统设计

Design of Double Calibration Capacitive Formation Calibration System Based on Internet of Things Technology

针对现有分容化成设备检测装置组件多、精度一般且无法实时监控的问题,设计了一种基于物联网技术的分容化成校验系统。校验装置通过采集电池电压、电流和温度数据实现对电池分容化成设备的监测,并将采集数据通过MQTT协议以无线WiFi方式传输至物联网平台,及时监控分容化成设备状态以保证单体电池一致性。考虑到校验装置硬件和应用环境存在的固定误差和随机误差,设计了基于双校准的分容化成校验装置。通过模块化设计,对校验系统进行失调与增益校准以减小硬件误差。对于环境和元件参数偏差,基于最小二乘法拟合实现对校验系统的进一步校准,实现了电压(0~10 V)、电流(0~150 A)范围内的高精度测量。通过实验测试表明:所设计的校验装置可在电池分容化成过程中实现电压电流高精度监控,误差率在0.05%以内。

Aiming at the problem that the existing capacitive formation equipment detection device has many components,general accuracy cannot be monitored in real time,a capacitive formation calibration system based on Internet of Things technology was designed.The calibration device realized the monitoring of the battery capacitive formation by collecting the battery voltage,current and temperature data,and transmitted the collected data to the Internet of Things platform in wireless WiFi through the MQTT protocol,and timely monitored the status of the capacitive formation device to ensure the consistency of the single battery.Considering the fixed error and random error in the hardware and application environment of the calibration device,a calibration device based on double calibration was designed.Hardware errors were reduced through modular design,offset and gain calibration of the calibration system.For environmental and component parameter deviations,further calibration of the calibration system was achieved based on least squares fitting,and high-precision measurements in the range of voltage(0~10 V)and current(0~150 A)were realized.Experimental tests show that the designed calibration device can achieve high-precision monitoring of voltage and current during the process of battery capacitive formation,and the error rate is within 0.05%.