دانلود مقاله ISI انگلیسی شماره 49487
ترجمه فارسی عنوان مقاله

کنترل هوشمند مدیریت انرژی سیستم تهویه مطبوع خودرو همراه با موتور

عنوان انگلیسی
Intelligent energy management control of vehicle air conditioning system coupled with engine
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
49487 2012 14 صفحه PDF
منبع

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

Journal : Applied Thermal Engineering, Volume 48, 15 December 2012, Pages 211–224

ترجمه کلمات کلیدی
سیستم تهویه هوا - کروز کنترل تطبیقی - سیستم اطلاعات - کنترل هوشمند - نگاه به آینده سیستم - مدیریت انرژی - سیستم های مکاترونیک
کلمات کلیدی انگلیسی
Air conditioning system; Adaptive cruise control; Information system; Intelligent control; Look-Ahead system; Energy management; Mechatronics systems
پیش نمایش مقاله
پیش نمایش مقاله  کنترل هوشمند مدیریت انرژی سیستم تهویه مطبوع خودرو همراه با موتور

چکیده انگلیسی

Vehicle Air Conditioning (AC) systems consist of an engine powered compressor activated by an electrical clutch. The AC system imposes an extra load to the vehicle's engine increasing the vehicle fuel consumption and emissions. Energy management control of the vehicle air conditioning is a nonlinear dynamic system, influenced by uncertain disturbances. In addition, the vehicle energy management control system interacts with different complex systems, such as engine, air conditioning system, environment, and driver, to deliver fuel consumption improvements. In this paper, we describe the energy management control of vehicle AC system coupled with vehicle engine through an intelligent control design. The Intelligent Energy Management Control (IEMC) system presented in this paper includes an intelligent algorithm which uses five exterior units and three integrated fuzzy controllers to produce desirable internal temperature and air quality, improved fuel consumption, low emission, and smooth driving. The three fuzzy controllers include: (i) a fuzzy cruise controller to adapt vehicle cruise speed via prediction of the road ahead using a Look-Ahead system, (ii) a fuzzy air conditioning controller to produce desirable temperature and air quality inside vehicle cabin room via a road information system, and (iii) a fuzzy engine controller to generate the required engine torque to move the vehicle smoothly on the road. We optimised the integrated operation of the air conditioning and the engine under various driving patterns and performed three simulations. Results show that the proposed IEMC system developed based on Fuzzy Air Conditioning Controller with Look-Ahead (FAC-LA) method is a more efficient controller for vehicle air conditioning system than the previously developed Coordinated Energy Management Systems (CEMS).