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Study on the Powertrain Parameters Metching and the Energy Management Strategy Optimization of a HEV

Author: LiuPeng
Tutor: GuoKongHui
School: Jilin University
Course: Vehicle Engineering
Keywords: Hybrid Electric Vehicle Powertrain Parameters Matching Energy Management Strategy Optimization
CLC: U469
Type: Master's thesis
Year: 2009
Downloads: 248
Quote: 2
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Abstract


With the increasing world’s economy, more and more conventional cars appear in developing countries. The increasing number of cars intensifies the environment and energy crisis. Hybrid Electric Vehicle (HEV) is the vehicle that is powered by internal combustion engine(ICE) and motor together. It makes full use of the two power sources and can optimally match their power, so that it enlarges the overall system efficiency very much. So, HEV has incomparable advantages of traditional internal combustion vehicles in fuel economy and emission.The research in this article, answers“powertrain parameter matching”and“optimization of the energy distribution control strategies”questions when a car company starts to develop Hybrid Electric Vehicle,is based on group projects about Hybrid Electric Vehicle research. The main content and conclusions as follows:In chapter one, the developing history and the function of Hybrid Electric Vehicle are firstly introduced. And the developing history and developing trend of powertrain parameter matching and energy distribution strategies are introduced in detail. The main content of this thesis are listed.In chapter two, a vehicle model for the powertrain parameter matching and energy distribution control strategies is built based on ADVISOR (Advanced Vehicle Simulator). At first the simulation software ADVISOR is introduced; then the main powertrain part modules are analyzed; at last, the basic energy distribution strategies are designed. Finally, a HEV simulation model is built up, which offers a platform for the following research.In chapter three, the question“powertrain parameter matching”is researched. At the beginning the principle of powertrain parameter matching is raised. Then, according to the definite dynamic request, the matching calculate is carried on. After powertrain parameter matching, the fuel economy of the HEV has a great leap.In chapter four, another question“optimization of the energy distribution strategies based on Genetic Algorithm”is researched. At first, Optimization of variables is selected after discussing the energy distribution strategies. Through the introduction of Genetic Algorithm and setting the key variable of Genetic Algorithm, an optimization question based on the Genetic Algorithm is established. After optimization, the fuel economy of the HEV is improved obviously.

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