Study of Uncertainty of Temperature Measurement in IoT- Based Battery Performance Monitoring System for Electric Vehicles

The value of the uncertainty of the measurement is necessary so that the results of these measurements can be considered whether they are following the needs. In the study of the IoT-based battery performance monitoring system carried out online, the measurement results from the sensors are sent via the internet network to a database which is then accessed, and numerical data processing is carried out. In this system, there are delays from when the data is sampled until the computing device accesses the data, thereby constituting one of the contributing factors to measurement uncertainty. One of the quantities measured in this BMS (Battery Management System) is temperature. Too hot temperatures will make the vehicle battery become quickly damaged. In this study, calibration is carried out with measuring methods and equipment traceable to international standards. The results of this calibration are to ensure that the system measurement results used in this battery performance monitoring system are sufficient or not. Estimated uncertainty, the value reported in this calibration, has considered sources of uncertainty in measurements, including time delays in measuring measurements.