The Study of Multi-decision Logic Control Optimation Design for Appling to Light Electric Vehicle

碩士 === 建國科技大學 === 電子工程系暨研究所 === 101 === In this paper, an optimal design of multi-decision logic control is proposed for light The power sources are come from Li-battery and Proton Exchange Membrane Fuel Cell (PEMFC). Using gray model GM(1,n), based on the gray theory, the structure of electrical po...

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Main Authors: Shih-Hung Chang, 張式弘
Other Authors: Koan-Yuh Chang
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/14315386268560474900
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spelling ndltd-TW-101CTU054270082016-03-14T04:13:36Z http://ndltd.ncl.edu.tw/handle/14315386268560474900 The Study of Multi-decision Logic Control Optimation Design for Appling to Light Electric Vehicle 多決策邏輯控制器應用於輕型電動車最佳化設計之研究 Shih-Hung Chang 張式弘 碩士 建國科技大學 電子工程系暨研究所 101 In this paper, an optimal design of multi-decision logic control is proposed for light The power sources are come from Li-battery and Proton Exchange Membrane Fuel Cell (PEMFC). Using gray model GM(1,n), based on the gray theory, the structure of electrical power system design is established under the power estimating on motor load and multi-decision logic control system using. Then, matching with the transistor for charging and discharging Li-battery via switching method, the input/output (charging/discharging) powers of Li-battery can be controlled and the output power of PEMFC can be stabilized. Therefore, the LEV system can operate normally with sufficient power. And the objective of power management more efficiently can be achieved. Here, we should point out that the duty cycle of switching transistor is the best choice by using Taguchi method. Furthermore, the parameters of gray estimation are voltage, current and power operated in LEV (motor). At beginning, the performance simulations for Li-battery and PEMFC should be done. Then, the multi-decision logic control of system is designed. From the preliminary results of system simulation, the designed multi-decision logic control system, which can supply electrical power during the operation period, will go on work to the exhaust of fuel and will not cause the problem of cessation. Therefore, the good response of power management can be achieved efficiently. Koan-Yuh Chang 張寬裕 2013 學位論文 ; thesis 80 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 建國科技大學 === 電子工程系暨研究所 === 101 === In this paper, an optimal design of multi-decision logic control is proposed for light The power sources are come from Li-battery and Proton Exchange Membrane Fuel Cell (PEMFC). Using gray model GM(1,n), based on the gray theory, the structure of electrical power system design is established under the power estimating on motor load and multi-decision logic control system using. Then, matching with the transistor for charging and discharging Li-battery via switching method, the input/output (charging/discharging) powers of Li-battery can be controlled and the output power of PEMFC can be stabilized. Therefore, the LEV system can operate normally with sufficient power. And the objective of power management more efficiently can be achieved. Here, we should point out that the duty cycle of switching transistor is the best choice by using Taguchi method. Furthermore, the parameters of gray estimation are voltage, current and power operated in LEV (motor). At beginning, the performance simulations for Li-battery and PEMFC should be done. Then, the multi-decision logic control of system is designed. From the preliminary results of system simulation, the designed multi-decision logic control system, which can supply electrical power during the operation period, will go on work to the exhaust of fuel and will not cause the problem of cessation. Therefore, the good response of power management can be achieved efficiently.
author2 Koan-Yuh Chang
author_facet Koan-Yuh Chang
Shih-Hung Chang
張式弘
author Shih-Hung Chang
張式弘
spellingShingle Shih-Hung Chang
張式弘
The Study of Multi-decision Logic Control Optimation Design for Appling to Light Electric Vehicle
author_sort Shih-Hung Chang
title The Study of Multi-decision Logic Control Optimation Design for Appling to Light Electric Vehicle
title_short The Study of Multi-decision Logic Control Optimation Design for Appling to Light Electric Vehicle
title_full The Study of Multi-decision Logic Control Optimation Design for Appling to Light Electric Vehicle
title_fullStr The Study of Multi-decision Logic Control Optimation Design for Appling to Light Electric Vehicle
title_full_unstemmed The Study of Multi-decision Logic Control Optimation Design for Appling to Light Electric Vehicle
title_sort study of multi-decision logic control optimation design for appling to light electric vehicle
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/14315386268560474900
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