کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
668183 1458741 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Construction of thermodynamic model and temperature regulation by near-LQR for electric vehicle
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی جریان سیال و فرایندهای انتقال
پیش نمایش صفحه اول مقاله
Construction of thermodynamic model and temperature regulation by near-LQR for electric vehicle
چکیده انگلیسی
This work is aimed to investigate the regulation problem for thermal comfortableness and propose control strategies for cabin environment of electric vehicles (EVs) by constructing a reduced-scale air-conditioning (A/C) system which mainly consists of two modules: environmental control box (ECB) and air-handling unit (AHU). Temperature and humidity in the ECB can be regulated by AHU via cooling, heating, mixing air streams and adjusting speed of fans. To synthesize the near-optimal controllers, the mathematical model for the system thermodynamics is developed by employing the equivalent lumped heat capacity approach, energy/mass conservation principle and the heat transfer theories. In addition, from the clustering pattern of system eigenvalues, the thermodynamics of the interested system can evidently be characterized by two-time-scale property. That is, the studied system can be decoupled into two subsystems, slow mode and fast mode, by singular perturbation technique. As to the optimal control strategies for EVs, by taking thermal comfortableness, humidity and energy consumption all into account, a series of optimal controllers are synthesized on the base of the order-reduced thermodynamic model. The feedback control loop for the experimental test rig is examined and realized by the aid of the control system development kit dSPACE DS1104 and the commercial software MATLAB/Simulink. To sum up, the intensive computer simulations and experimental results verify that the performance of the near-optimal reduced control law is almost as superior as that of standard Linear Quadratic Regulator (LQR).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Thermal Sciences - Volume 81, July 2014, Pages 106-117
نویسندگان
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