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A versatile computer model for the design and analysis of electric and hybrid vehicles
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The primary purpose of the work reported in this thesis was to develop a versatile computer model to facilitate the design and analysis of hybrid vehicle drive-trains. A hybrid vehicle is one in which power for propulsion comes from two distinct sources, usually an internal combustion engine and an electric motor. Because of the design flexibility inherent in a propulsion system that has more than one source of energy, computer er modeling is necessary to identify which parameters are mainly responsible for the performance of the power-plant and to determine which designs are most viable. The modeling system described i@ this thesis was developed to accommodate a wide range of vehicle components and modeling techniques. The modeling framework to which the drive-train component models are attached emphasizes the functional role of components and not their implementation. This creates a uniform component interface which limits access to the inner workings of a component model and improves compatibility between various types of models. Conceptual levels of abstraction are identified in this thesis which can be used to organize information in a hybrid vehicle model. By incorporating these levels into the modeling system, the tasks associated with creating a hybrid vehicle are separated allowing the designer to focus on one aspect at a time. The modeling of the various levels occurs at independent locations in the model and the interfaces between the conceptual levels are defined so that changing the implementation of a particular level does not affect its interaction with other levels. A simulation study is then detailed to show how the model can be used to create and analyze hybrid vehicle designs. The study focuses on two control algorithms which implement a sustainable, electrically-peaking, parallel hybrid design. The first algorithm reduces fuel consumption by minimizing the amount of time that the internal combustion engine is operated. The second algorithm reduces the load on the electric motor by operating the internal combustion engine over its entire speed range. The simulation results indicate that both algorithms can successfully maintain the battery state of charge over the given drive-cycle. Finally, conclusions about the model and recommendations for future studies are discussed.
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Stevens, Kenneth Michael (1996). A versatile computer model for the design and analysis of electric and hybrid vehicles. Master's thesis, Texas A&M University. Available electronically from
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