چكيده به لاتين
Hybrid electric vehicle has been gaining considerable amount of attention with increasing level of fuel consumption and emission in the past two decades. Control strategy has the role of dividing the required power between battery and internal combustion engine in the plug-in hybrid electric vehicles. So, its impelementaion and evaluation is of great importance. In this thesis, forward looking modeling of plug-in hybrid electric vehicle is conducted in order to carry out hardware in the loop test on the control unit. In this regard, firstly a forward looking model of hybrid electric vehicle, including thermodynamic mode of the internal combustion engine, is developed in AVL CRUISE M environment, and then fuzzy logic controller is utilized as the control strategy and its membership functions’ parameters are optimized using Genetic algorithm. Also, in order to evaluate the control strategy’s performance in real conditions, a hardware-in-the-loop test bench is put together by gathering the forward looking model and implementation of control strategy on a hardware. Finally, after including a GPS module in this hardware-in-the-loop test bench, field test is conducted. GPS module has the role of collecting the vehicle’s velocity data in real time. Results from the field test depict that the aforementioned test bench is applicable in development of control strategies and assessment of the hybrid propulsion’s dynamic response. Comparison of model in the loop, hardware in the loop and field test (in Tehran traffic conditions) indicates adequate accuracy of developed test bench.
