Optimal Design of Genetic-fuzzy Control Strategy for Plug-in Parallel Hybrid Electric Vehicle

Taking the plug- in hybrid electric vehicle as the research object,in order to improve the fuel economy and emission performance,a fuzzy control strategy which can realize the reasonable distribution of demand torque between the engine and the drive motor is designed,and the method of genetic algori...

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Main Authors: Cheng Fei, Zhao Han, Yin Andong
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2016-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.03.009
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author Cheng Fei
Zhao Han
Yin Andong
author_facet Cheng Fei
Zhao Han
Yin Andong
author_sort Cheng Fei
collection DOAJ
description Taking the plug- in hybrid electric vehicle as the research object,in order to improve the fuel economy and emission performance,a fuzzy control strategy which can realize the reasonable distribution of demand torque between the engine and the drive motor is designed,and the method of genetic algorithm to optimize fuzzy control rules is introduced in detail. The optimization results show that,the optimized fuzzy control strategy can improve the fuel economy and emission performance compared with the results before optimization,and make the engine working points well concentrated in high efficient area. The research contents will provide operators and experts an effective way to design fuzzy control rules.
format Article
id doaj-art-e56cba9a7612445f939d2ef354abf016
institution Kabale University
issn 1004-2539
language zho
publishDate 2016-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-e56cba9a7612445f939d2ef354abf0162025-01-10T14:18:24ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392016-01-0140434829922669Optimal Design of Genetic-fuzzy Control Strategy for Plug-in Parallel Hybrid Electric VehicleCheng FeiZhao HanYin AndongTaking the plug- in hybrid electric vehicle as the research object,in order to improve the fuel economy and emission performance,a fuzzy control strategy which can realize the reasonable distribution of demand torque between the engine and the drive motor is designed,and the method of genetic algorithm to optimize fuzzy control rules is introduced in detail. The optimization results show that,the optimized fuzzy control strategy can improve the fuel economy and emission performance compared with the results before optimization,and make the engine working points well concentrated in high efficient area. The research contents will provide operators and experts an effective way to design fuzzy control rules.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.03.009Plug-in hybrid electric vehicle(PHEV)Genetic algorithm(GA)Fuzzy control strategyMulti objective optimizationFuel economy
spellingShingle Cheng Fei
Zhao Han
Yin Andong
Optimal Design of Genetic-fuzzy Control Strategy for Plug-in Parallel Hybrid Electric Vehicle
Jixie chuandong
Plug-in hybrid electric vehicle(PHEV)
Genetic algorithm(GA)
Fuzzy control strategy
Multi objective optimization
Fuel economy
title Optimal Design of Genetic-fuzzy Control Strategy for Plug-in Parallel Hybrid Electric Vehicle
title_full Optimal Design of Genetic-fuzzy Control Strategy for Plug-in Parallel Hybrid Electric Vehicle
title_fullStr Optimal Design of Genetic-fuzzy Control Strategy for Plug-in Parallel Hybrid Electric Vehicle
title_full_unstemmed Optimal Design of Genetic-fuzzy Control Strategy for Plug-in Parallel Hybrid Electric Vehicle
title_short Optimal Design of Genetic-fuzzy Control Strategy for Plug-in Parallel Hybrid Electric Vehicle
title_sort optimal design of genetic fuzzy control strategy for plug in parallel hybrid electric vehicle
topic Plug-in hybrid electric vehicle(PHEV)
Genetic algorithm(GA)
Fuzzy control strategy
Multi objective optimization
Fuel economy
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.03.009
work_keys_str_mv AT chengfei optimaldesignofgeneticfuzzycontrolstrategyforpluginparallelhybridelectricvehicle
AT zhaohan optimaldesignofgeneticfuzzycontrolstrategyforpluginparallelhybridelectricvehicle
AT yinandong optimaldesignofgeneticfuzzycontrolstrategyforpluginparallelhybridelectricvehicle