Temperature sensors used in emission systems of internal combustion engines must register enormous temperature differences within the shortest periods of time. This serves to protect the engine parts with respect to their temperature stability and to govern the energy efficient functioning of the engine. This study will describe how the use of experimental numerical procedures allows the construction of temperature sensors to satisfy these demands. The experimental equipment will be presented and the results will be evaluated. Numerical calculations according to the finite element method are used to estimate static-thermal measurement errors and dynamic characteristics primarily concerning the specific medium and construction of the temperature sensors.
With the advent of fast processors, real-time process control is becoming an important component of modern automobile industrial products.Normally, heat transfer processes possess large time constants and, as a consequence, temperature sensors are relatively slow. In order to protect against the hostile environment, temperature sensors used in vehicle exhaust systems need additional casing. Due to the casing, the heat transfer from the surface of the casing to the sensor is decreased even further. In order to design a feedback control for the vehicle, accurate information about the temperature inside the exhaust system is required which needs to be estimated from the measured temperature inside the exhaust system. In this paper, we develop a model of the sensor and use a Kalman filter for the prediction of the ambient temperature from the measurements. Further, we validate our results with suitable tests and compare the test results with the simulation results.
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