کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
816093 906432 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles
ترجمه فارسی عنوان
بر روی عملکرد بهینه سازی ذرات شتابدهنده برای شارژ پلاگین وسایل نقلیه هیبریدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
چکیده انگلیسی

Transportation electrification has undergone major changes since the last decade. Success of smart grid with renewable energy integration solely depends upon the large-scale penetration of plug-in hybrid electric vehicles (PHEVs) for a sustainable and carbon-free transportation sector. One of the key performance indicators in hybrid electric vehicle is the State-of-Charge (SoC) which needs to be optimized for the betterment of charging infrastructure using stochastic computational methods. In this paper, a newly emerged Accelerated particle swarm optimization (APSO) technique was applied and compared with standard particle swarm optimization (PSO) considering charging time and battery capacity. Simulation results obtained for maximizing the highly nonlinear objective function indicate that APSO achieves some improvements in terms of best fitness and computation time.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Alexandria Engineering Journal - Volume 55, Issue 1, March 2016, Pages 419–426
نویسندگان
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