دانلود مقاله ISI انگلیسی شماره 161818
ترجمه فارسی عنوان مقاله

استراتژی مدیریت اقتدار برای وسیله نقلیه الکتریکی هیبریدی چهار حالت

عنوان انگلیسی
Adaptive Power Management Strategy for a Four-Mode Hybrid Electric Vehicle
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
161818 2017 6 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Energy Procedia, Volume 105, May 2017, Pages 2403-2408

ترجمه کلمات کلیدی
خودرو الکتریکی هیبریدی، به حداقل رساندن مصرف سوخت معادل، استراتژی مدیریت اقتدار اقتدار،
کلمات کلیدی انگلیسی
hybrid electric vehicle; equivalent fuel consumption minimization; adaptive power management strategy;
پیش نمایش مقاله
پیش نمایش مقاله  استراتژی مدیریت اقتدار برای وسیله نقلیه الکتریکی هیبریدی چهار حالت

چکیده انگلیسی

A conventional vehicle propelled with only the internal combustion engine (ICE) is not easy to enhance the fuel economy due to the wide range operation requirement of the powertrain. However, a hybrid electric vehicle (HEV) which consists of an ICE and one or multiple electric motors can effectively improve the efficiency of the powertrain. In this paper, we propose an adaptive power management strategy (PMS) based on the equivalent fuel consumption minimization strategy (ECMS) for a four-mode HEV. The four-mode HEV which consists of an ICE and two motors provides four modes of operation, including electric vehicle (EV) mode, range extended (RE) mode, hybrid mode, and engine mode. The adaptive PMS is designed for charge sustaining such that the state of charge (SOC) can be maintained at a certain value. A self-organizing fuzzy controller (SOFC) is employed to adaptively adjust the equivalence factor of electric energy consumption based on the SOC deviation and the change of SOC deviation. An instantaneous cost function which consists of the fuel consumption of ICE and the equivalent fuel consumption of the battery is minimized to obtain the optimum power distributions of the ICE and two motors. Simulation results show that the adaptive PMS can effectively improve the fuel economy for different driving cycles.