The Study of Vehicle Intelligent Electric Energy Management System
| Autor: | Ruei-Yan Dai, 戴瑞言 |
|---|---|
| Rok vydání: | 2003 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 91 This paper is mainly to introduce how to use grey theory and genetic algorithm to improve fuzzy control on the electrical energy system of conventional vehicle and parallel hybrid motorcycle vehicle’s 12 and 24 voltage alternator to elevate the efficiency of its generating, use Genetic Algorithm to improve fuzzy controller, make fuzzy controller simplified the efficiency more. Under the premise of more conforming to the practical needs of the battery, its fuzzy controller makes the most fuzzy decision computing of the battery’s remained power value according to the predicted value and real value of grey theory. Furthermore, intelligent judgments are used to offer the generator with the best exciting current, so that the battery can be kept at the highest working efficiency all the time to extend its life. The composition of the hybrid control system is the grey genetic algorithm fuzzy controller as the primary system and the original transistor control circuit as the secondary system. As a result, the generator can still undergo its planned jobs even when the exciting controlling system is out of order. Meanwhile, drivers can be reminded of the generating condition of their generators so as to keep the charging system in excellent conditions. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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