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Abstract



A Platform for Overall Monitoring and Diagnosis for Hybrid Vehicles


Compared with conventional vehicles, designing hybrid electric vehicles includes new features, such as energy management and monitoring of the electrical components. To be able to investigate such issues a simulation platform of a hybrid vehicle, driver, and diagnosis system is developed based on the CAPSim model library. The simulation platform is component based, and is able to handle different powertrain configurations. In this investigation a parallel hybrid is modeled and parameterized to represent a long haulage truck. To be able to easily change a model of a component in the vehicle model, every model of a specific component use the same sets of input and output signals. The vehicle model is based on dynamic equations and in general simple models of the components, since the interplay of the components is of major interest in this investigation. Three model based diagnosis systems are developed and implemented in the platform with a twofolded purpose. The first purpose is to demonstrate the feasibility of the platform. The second purpose is to investigate issues when designing diagnosis systems on vehicle level of a hybrid vehicle powertrain. New features, for example mode switches in the system and a freedom in choosing operating points of the components via the energy management, affect the diagnosis system. The influence of these issues on the performance of the diagnosis system is investigated by design and implementation of three diagnosis systems on a vehicle level. The diagnosis systems are based on three sensor configurations. Two of these consist of several sensors and one system uses few sensors. In one of the systems using information from several sensors, the sensors are placed close to the components that are to be monitored, while the sensors in the other system is based on a different sensor configuration. All three diagnosis systems detect specific faults, here specifically faults in the electrical components in a hybrid vehicle powertrain, but the methodology is generic. It is shown that there is a connection between the design of the energy management and the three diagnosis systems, and that this interplay is of special relevance when models of components are valid only in some operating modes. The diagnosis system based on few sensors is more complex and includes a larger part of the vehicle model than the system based on several sensors placed close to the components to be monitored.

Christofer Sundström, Erik Frisk and Lars Nielsen

2010

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