TY - JFULL AU - K. Varesi and A. Radan PY - 2011/9/ TI - A Novel Methodology Proposed for Optimizing the Degree of Hybridization in Parallel HEVs using Genetic Algorithm T2 - International Journal of Electrical and Computer Engineering SP - 914 EP - 920 VL - 5 SN - 1307-6892 UR - https://publications.waset.org/pdf/1233 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 56, 2011 N2 - In this paper, a new Genetic Algorithm (GA) based methodology is proposed to optimize the Degree of Hybridization (DOH) in a passenger parallel hybrid car. At first step, target parameters for the vehicle are decided and then using ADvanced VehIcle SimulatOR (ADVISOR) software, the variation pattern of these target parameters, across the different DOHs, is extracted. At the next step, a suitable cost function is defined and is optimized using GA. In this paper, also a new technique has been proposed for deciding the number of battery modules for each DOH, which leads to a great improvement in the vehicle performance. The proposed methodology is so simple, fast and at the same time, so efficient. ER -