دانلود مقاله ISI انگلیسی شماره 78829
عنوان فارسی مقاله

رانندگی بهینه در هنگام شتاب گرفتن وسیله نقلیه الکتریکی با استفاده از الگوریتم های تکاملی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
78829 2015 19 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Optimal driving during electric vehicle acceleration using evolutionary algorithms
منبع

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

Journal : Applied Soft Computing, Volume 34, September 2015, Pages 217–235

کلمات کلیدی
وسیله نقلیه الکتریکی؛ رانندگی بهینه؛ انرژی شتاب - مدت زمان شتاب - رانندگی راحت؛ بهینه سازی چند هدفه
پیش نمایش مقاله
پیش نمایش مقاله رانندگی بهینه در هنگام شتاب گرفتن وسیله نقلیه الکتریکی با استفاده از الگوریتم های تکاملی

چکیده انگلیسی

Due to the limited amount of stored battery energy it is necessary to optimally accelerate electric vehicles (EVs), especially in urban driving cycles. Moreover, a quick speed change is also important to minimize the trip time. Conversely, for comfortable driving, the jerk experienced during speed changing must be minimum. This study focuses on finding a comfortable driving strategy for EVs during speed changes by solving a multi-objective optimization problem (MOOP) with various conflicting objectives. Variants of two different competing evolutionary algorithms (EAs), NSGA-II (a non-dominated sorting multi-objective genetic algorithm) and SPEA 2 (strength Pareto evolutionary algorithm), are adopted to solve the problem. The design parameters include the acceleration value(s) with the associated duration(s) and the controller gains. The Pareto-optimal front is obtained by solving the corresponding MOOP. Suitable multi-criterion decision-making techniques are employed to select a preferred solution for practical implementation. After an extensive analysis of EA performance and keeping online implementation in mind, it was observed that NSGA-II with the crowding distance approach was the most suitable. A recently proposed innovization procedure was used to reveal salient properties associated with the obtained trade-off solutions. These solutions were analyzed to study the effectiveness of various parameters influencing comfortable driving.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.