کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6696238 | 502352 | 2016 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Hybrid control algorithm for fuel consumption of a compound hybrid excavator
ترجمه فارسی عنوان
الگوریتم کنترل ترکیبی برای مصرف سوخت یک بیل مکانیکی ترکیبی
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کلمات کلیدی
بیل مکانیکی ترکیبی، مدیریت قدرت، کنترل بهینه،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی عمران و سازه
چکیده انگلیسی
The current paper describes a hybrid control algorithm for fuel consumption minimization of a compound hybrid excavator. The power train of the excavator integrates an engine assist motor, a super capacitor, and a dc/dc converter for hybridization of the original power train. This power train also incorporates an electrically propelled swing motor, which replaces the conventional hydraulic swing motor, to remove hydraulic loss and recuperate the kinetic energy of the swing motion. Since the super capacitor provides the required energy for the electric swing motor, sustaining the charge presents an important consideration in the power management algorithm design. First, the optimal control problem has been applied to the fuel consumption minimization problem, and an algorithm based on the equivalent fuel minimization strategy (ECMS) has been applied by analyzing the behavior of the co-state of the optimal control problem. The ECMS algorithm is integrated with an engine set speed regulator to increase the overall efficiency of the diesel engine. The engine set speed regulator was designed to change the engine set speed, depending on the engine load. Simulations show that the ECMS is near optimum compared to the dynamic programming results, maintaining an approximately 3% fuel improvement compared to a thermostat controller, which determines power distribution based on the state of charge. Excellent charge-sustaining performance was also achieved. The performance of the control algorithm was verified through real-world vehicle tests, resulting in an approximately 30% improvement in fuel economy, compared to the conventional excavator.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automation in Construction - Volume 68, August 2016, Pages 1-10
Journal: Automation in Construction - Volume 68, August 2016, Pages 1-10
نویسندگان
Hakgu Kim, Seungjin Yoo, Sungwoo Cho, Kyongsu Yi,