دوره 3، شماره 3 - ( 6-1392 )                   جلد 3 شماره 3 صفحات 495-482 | برگشت به فهرست نسخه ها

XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Bostanian, Barakati M, Najjari, Mohebi Kalhori. A Genetic-Fuzzy Control Strategy for Parallel Hybrid Electric Vehicle. ASE 2013; 3 (3) :482-495
URL: http://www.iust.ac.ir/ijae/article-1-218-fa.html
A Genetic-Fuzzy Control Strategy for Parallel Hybrid Electric Vehicle. Automotive Science and Engineering. 1392; 3 (3) :482-495

URL: http://www.iust.ac.ir/ijae/article-1-218-fa.html


چکیده:   (28996 مشاهده)
Hybrid Electric Vehicles (HEVs) are driven by two energy convertors, i.e., an Internal Combustion (IC) engine and an electric machine. To make powertrain of HEV as efficient as possible, proper management of the energy elements is essential. This task is completed by HEV controller, which splits power between the IC engine and Electric Motor (EM). In this paper, a Genetic-Fuzzy control strategy is employed to control the powertrain. Genetic-Fuzzy algorithm is a method in which parameters of a Fuzzy Logic Controller (FLC) are tuned by Genetic algorithm. The main target of control is to minimize two competing objectives, consisting of energy cost and emissions, simultaneously. In addition, a new method to consider variations of Battery State of Charge (SOC) in the optimization algorithm is proposed. The controller performances are verified over Urban Dinamometer Driving Cycle (UDDS) and New Europian Driving Cycle (NEDC). The results demonstrate the effectiveness of the proposed method in reducing energy cost and emissions without sacrificing vehicle performance.
متن کامل [PDF 779 kb]   (6862 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: موتور احتراق داخلی

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به مجله بین‌المللی مهندسی خودرو می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2024 CC BY-NC 4.0 | Automotive Science and Engineering

Designed & Developed by : Yektaweb