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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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 |
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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.
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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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