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Theses

Observation and diagnosis for trucks

Abstract : To meet both new legislative standards and customer requirements, the complexity of trucks has increased significantly in the recent decades. In addition to reducing pollutant emissions, these new standards require on board diagnosis solutions for anti-pollution systems. Therefore it implies a thiner control and increased monitoring of these systems. Besides, the customer wants to increase productivity and therefore the availability of the truck. In order to fulfil these requirements, the development of observers (or virtual sensors) is an attractive solution. Indeed, more information can be obtained from a given number of sensors, without additional cost for the manufacturer. During this thesis, several observers were developed for different truck subsystems, including non-linear, LPV (Variable Parameter Linear) or delay observers. As a first step, from a monitoring and preventive maintenance point of view, observers have been designed to estimate different equipment degradation ratio such as: a belt tensioner, a charge air cooler and an exhaust gas recirculation (EGR) cooler. An observer of the exhaust manifold pressure has also been developed to diagnose a fault of the sensor measuring this pressure. In a second step, the EGR mass flow rate estimation was used to test different observation approaches on a test bench, this variable being important for the pollutant emissions control. Finally, in order to reduce cost, the observation of the inlet air and EGR mass flow rates has been studied with a sensor submitted to a delay.
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Submitted on : Tuesday, May 7, 2019 - 10:56:08 AM
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  • HAL Id : tel-02122227, version 1

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Donatien Dubuc. Observation and diagnosis for trucks. Automatic. Université Grenoble Alpes, 2018. English. ⟨NNT : 2018GREAT098⟩. ⟨tel-02122227⟩

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