Design and Control of Hybrid Electric Wheel Armored Vehicles With Energy Management Systems

碩士 === 國防大學理工學院 === 兵器系統工程碩士班 === 105 === The study based on the configuration of the CM-32 eight-wheeled armord vehicle. The four-wheel electric drive series-parallel hybrid vehicle is designed and developed rulebase strategy of the military characteristic (distinguishing training and war) for ener...

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Main Authors: CHANG, HSUAM-YI, 張亘逸
Other Authors: CHOU, CHIH-CHENG
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/6efdga
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spelling ndltd-TW-105CCIT01570052019-05-15T23:17:18Z http://ndltd.ncl.edu.tw/handle/6efdga Design and Control of Hybrid Electric Wheel Armored Vehicles With Energy Management Systems 輪型甲車混合動力系統之能量管理設計與控制 CHANG, HSUAM-YI 張亘逸 碩士 國防大學理工學院 兵器系統工程碩士班 105 The study based on the configuration of the CM-32 eight-wheeled armord vehicle. The four-wheel electric drive series-parallel hybrid vehicle is designed and developed rulebase strategy of the military characteristic (distinguishing training and war) for energy management, in order to a variety of road conditions and driving needs of drivers. Considering the rated power of the motor and the state of charge (SOC), the energy management and efficiency of the power system are optimized in order to the operational requirements and save the training cost. This article developed the hybrid electric vehicle dynamic model of seven- model and used the software of Matlab / Simulink, including vehicle, battery, power system, driver behavior, ISG system and driving cycle. In EU legislation NEDC (New European Driving Cycle) driving cycle for the performance as a dynamic model of the simulation and verification. The results show that regardless of training or war mode, in different SOC initial value, mode switching are in line with the design concept. In the fuel consumption and vehicle acceleration performance, compared to the original CM-32 eight-wheeled armord vehicle is more excellent, in order to the rapid response of military vehicles, rapid maneuverability performance. In the driver behavior model, using PI or fuzzy control theory, on the simulation of original seven-model hybrid electric vehicle dynamic model. The results show the chase speed for driving cycle of fuzzy theory error is smaller than the PI theory. Its chase speed way more like the real driver of the actual operation and implement human control strategies and experience effectively. CHOU, CHIH-CHENG 周志正 2017 學位論文 ; thesis 87 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國防大學理工學院 === 兵器系統工程碩士班 === 105 === The study based on the configuration of the CM-32 eight-wheeled armord vehicle. The four-wheel electric drive series-parallel hybrid vehicle is designed and developed rulebase strategy of the military characteristic (distinguishing training and war) for energy management, in order to a variety of road conditions and driving needs of drivers. Considering the rated power of the motor and the state of charge (SOC), the energy management and efficiency of the power system are optimized in order to the operational requirements and save the training cost. This article developed the hybrid electric vehicle dynamic model of seven- model and used the software of Matlab / Simulink, including vehicle, battery, power system, driver behavior, ISG system and driving cycle. In EU legislation NEDC (New European Driving Cycle) driving cycle for the performance as a dynamic model of the simulation and verification. The results show that regardless of training or war mode, in different SOC initial value, mode switching are in line with the design concept. In the fuel consumption and vehicle acceleration performance, compared to the original CM-32 eight-wheeled armord vehicle is more excellent, in order to the rapid response of military vehicles, rapid maneuverability performance. In the driver behavior model, using PI or fuzzy control theory, on the simulation of original seven-model hybrid electric vehicle dynamic model. The results show the chase speed for driving cycle of fuzzy theory error is smaller than the PI theory. Its chase speed way more like the real driver of the actual operation and implement human control strategies and experience effectively.
author2 CHOU, CHIH-CHENG
author_facet CHOU, CHIH-CHENG
CHANG, HSUAM-YI
張亘逸
author CHANG, HSUAM-YI
張亘逸
spellingShingle CHANG, HSUAM-YI
張亘逸
Design and Control of Hybrid Electric Wheel Armored Vehicles With Energy Management Systems
author_sort CHANG, HSUAM-YI
title Design and Control of Hybrid Electric Wheel Armored Vehicles With Energy Management Systems
title_short Design and Control of Hybrid Electric Wheel Armored Vehicles With Energy Management Systems
title_full Design and Control of Hybrid Electric Wheel Armored Vehicles With Energy Management Systems
title_fullStr Design and Control of Hybrid Electric Wheel Armored Vehicles With Energy Management Systems
title_full_unstemmed Design and Control of Hybrid Electric Wheel Armored Vehicles With Energy Management Systems
title_sort design and control of hybrid electric wheel armored vehicles with energy management systems
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/6efdga
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