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بهینه سازی مصرف سوخت خودروی هیبرید خورشیدی با روش الگوریتم گروهی ذرات
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نویسنده
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شیخ حسنی امیرحسین ,نصراله نژاد سعید
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منبع
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سيزدهمين همايش بين المللي موتورهاي درونسوز و نفت - 1402 - دوره : 13 - سیزدهمین همایش بین المللی موتورهای درونسوز و نفت - کد همایش: 02230-93725 - صفحه:0 -0
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چکیده
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ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ اﻓﺰاﯾﺶ روزاﻓﺰون ﻣﺼﺮف ﺳﻮﺧﺖﻫﺎی ﻓﺴﯿﻠﯽ و آﻻﯾﻨﺪﮔﯽ ﻧﺎﺷﯽ از آنﻫﺎ، ﺧﻮدروﻫﺎی ﻫﯿﺒﺮﯾﺪی ﮐﺎرآﻣﺪﺗﺮﯾﻦ راهﺣﻞ ﻣﯿﺎنﻣﺪت ﺑﺮای ﮐﺎﻫﺶ ﻣﻌﻀﻼت ﻧﺎﺷﯽ از آﻟﻮدﮔﯽ ﻣﺤﯿﻂ زﯾﺴﺖ و اﻓﺰاﯾﺶ ﻣﻮاد ﺳﻮﺧﺘﯽ ﻣﯽﺑﺎﺷﺪ. در اﯾﻦ مقاله اﺑﺘﺪا ﺑﻪ ﺑﺮرﺳﯽ اﻧﻮاع ﺧﻮدروﻫﺎی ﻫﯿﺒﺮﯾﺪ اﻟﮑﺘﺮﯾﮑﯽ و ﻧﺤﻮه اﻧﺘﻘﺎل ﻗﺪرت در اﯾﻦ ﺧﻮدروﻫﺎ ﭘﺮداﺧﺘﻪ ﺷﺪه اﺳﺖ. ﭘﺲ از ﺑﺮرﺳﯽ ﭘﺎراﻣﺘﺮﻫﺎی ﺗﺄﺛﯿﺮﮔﺬار ﺑﺮ ﻋﻤﻠﮑﺮد ﺧﻮدروی ﻫﯿﺒﺮﯾﺪی، ﺑﺮای دﺳﺖﯾﺎﺑﯽ ﺑﻪ ﮐﻤﺘﺮﯾﻦ ﻣﯿﺰان ﻣﺼﺮف ﺳﻮﺧﺖ ﺿﻤﻦ ﺣﻔﻆ ﻋﻤﻠﮑﺮد دﯾﻨﺎﻣﯿﮑﯽ ﺧﻮدرو از اﻟﮕﻮرﯾﺘﻢ ﮔﺮوﻫﯽ ذرات (pso) ﺑﺮای ﺑﻬﯿﻨﻪﺳﺎزی ﭘﺎراﻣﺘﺮﻫﺎی ﺗﺄﺛﯿﺮﮔﺬار ﭘﺮداﺧﺘﻪ ﻣﯽﺷﻮد. درﻧﻬﺎﯾﺖ ﺑﺨﺶ ﺧﻮرﺷﯿﺪی در اﺑﺘﺪا ﺑﻪﻋﻨﻮان ﮐﻤﮏﮐﻨﻨﺪه ﺑﻪ ﺳﯿﺴﺘﻢ ﻫﯿﺒﺮﯾﺪی ﺑﻪ ﺑﺎﺗﺮی ﻣﺘﺼﻞ ﺷﺪ درﺣﺎﻟﯽﮐﻪ ﺗﻮان ﻣﻮﺗﻮر اﺣﺘﺮاﻗﯽ ﺛﺎﺑﺖ اﺳﺖ در ﺣﺎﻟﺖ دوم ﺗﻮان ﻣﻮﺗﻮر اﺣﺘﺮاﻗﯽ ﻧﯿﺰ از ﻃﺮﯾﻖ ﺑﻬﯿﻨﻪﺳﺎزی ﺑﻪ دﺳﺖ آﻣﺪ و در آﺧﺮﯾﻦ ﻣﺮﺣﻠﻪ ﺳﯿﺴﺘﻢ ﺧﻮرﺷﯿﺪی ﻓﻘﻂ وﻇﯿﻔﻪی ﺗﺄﻣﯿﻦ اﻧﺮژی ﻗﻄﻌﺎت ﻣﺼﺮﻓﯽ را ﺑﺮ ﻋﻬﺪه داﺷﺖ ﮐﺎﻫﺶ ﻣﺼﺮف ﺳﻮﺧﺖ در ﺧﻮدروی ﻫﯿﺒﺮﯾﺪ ﻣﻮازی ﺑﻬﯿﻨﻪﺷﺪه ﺣﺪود 19% ﮐﺎﻫﺶ ﻣﯿﺰان ﻣﺼﺮف ﺳﻮﺧﺖ را ﺑﻪ ﻫﻤﺮاه ﺧﻮاﻫﺪ داﺷﺖ. در ﻗﺴﻤﺖ دوم ﮐﻪ ﺑﺨﺶ ﺧﻮرﺷﯿﺪی ﻫﻢ ﺑﻪ ﺳﯿﺴﺘﻢ ﻫﯿﺒﺮﯾﺪی اﺿﺎﻓﻪ ﺷﺪ در ﺣﺎﻟﺖ اول ﻓﻘﻂ 10% ﮐﺎﻫﺶ ﻣﺼﺮف ﺳﻮﺧﺖ ﻧﺘﯿﺠﻪ ﺷﺪ وﻟﯽ در ﺣﺎﻟﺖ دوم ﺑﺎ ﺑﻬﯿﻨﻪ ﮐﺮدن ﻣﻮﺗﻮر اﺣﺘﺮاﻗﯽ 27% ﮐﺎﻫﺶ ﻣﺼﺮف ﺳﻮﺧﺖ ﺑﻪ دﺳﺖ آﻣﺪ.در ﺣﺎﻟﺖ آﺧﺮ ﻧﯿﺰ 22% ﮐﺎﻫﺶ ﻣﺼﺮف ﺳﻮﺧﺖ ﻧﺘﯿﺠﻪ ﺷﺪ.
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کلیدواژه
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ﺧﻮدروی ﻫﯿﺒﺮﯾﺪ اﻟﮑﺘﺮﯾﮑﯽ- ﺧﻮرﺷﯿﺪی، ﺳﻠﻮل ﺧﻮرﺷﯿﺪی، ﻧﺮم اﻓﺰار advisor، ﺧﻮدرو 206، ﻧﺮم اﻓﺰار pvsys
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آدرس
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, iran, , iran
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پست الکترونیکی
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s_nasrollahnezhad@ip-co.com
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optimizing the fuel consumption of a solar hybrid vehicle using the particle swarm algorithm method
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Authors
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Abstract
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considering the ever-increasing consumption of fossil fuels and the pollution caused by them, hybrid cars are the most efficient short-term solution to reduce the problems caused by environmental pollution and increasing fuel consumption. in this article, first of all, the types of electric hybrid cars and the way of power transmission in these cars have been examined. after examining the influencing parameters on the performance of the hybrid vehicle, in order to obtain the least amount of fuel consumption while maintaining the dynamic performance of the vehicle, the particle swarm algorithm (pso) is used to optimize the influencing parameters. it will be paid. finally, the solar part was connected to the battery as an assistant to the hybrid system at first, while the power of the combustion engine is fixed, in the second case, the power of the combustion engine was also obtained through optimization and in the last stage. the solar panel was only responsible for providing energy to the consumption areas. the fuel consumption of the optimized parallel hybrid car will reduce fuel consumption by about 19%. in the second part, where the solar part was added to the hybrid system, in the first case, only 10% reduction in fuel consumption resulted, but in the second case, by optimizing the combustion engine, a 27% reduction in fuel consumption was obtained. in the last case, 22% reduction in fuel consumption
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Keywords
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electric-solar hybri vehicle ,solar cell ,advisor software ,peugeot 206 vehicle ,pvsys software
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