Automobile Axle Temperature Detection Technology Based on the Matlab Platform

Sun Y., Yang J., Yang J., Zeng X.

2nd International Conference on Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT), ELECTR NETWORK, 8 - 09 January 2022, vol.129, pp.125-132 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 129
  • Doi Number: 10.1007/978-3-030-99616-1_17
  • Country: ELECTR NETWORK
  • Page Numbers: pp.125-132
  • Keywords: Data fusion, Kalman filtering algorithm, MATLAB simulation, Temperature measurement
  • Istanbul University Affiliated: No

Abstract

Based on the measurement of automobile axle temperature signals, this paper presents a combined temperature measurement method with higher measurement accuracy. This measurement method uses the different characteristics of different temperature sensors in temperature measurement to transfer the measurement volume of the combined temperature sensor to the microprocessor. In the microprocessor, the Kalman filtering technology is used to perform data fusion processing on the temperature measurement data, which further improves the measurement accuracy of the combined sensor. The measurement technology is verified by the MATLAB experimental platform. The results prove that the temperature combination sensor is effective and accurate in detecting the temperature of the automobile axle.