Sizing Procedure for System Hybridization Based on Experimental Source Modeling for Electric Vehicles

Hybrid vehicles are now more common in response to increasing global warming. The hybridization of energy sources and storage units enables improving the sustainability, reliability, robustness power systems. To reach objective zero emissions, a proton exchange membrane hydrogen fuel-cell was utilized as an source. aim this research create accurate optimal sizing procedure for determining nominal rating necessary sources. We modeled fuel cell battery pack using data from real experimental results generic database. Then, we added on mission profile, system constraints, minimization target function. profile then analyzed by algorithm determine optional minimum maximum ratings. Analyzing solutions vehicle time management controller resulted set each available rated cell, compatible revealed band successfully accomplished route driving cycle within limitations. Finally, Pareto curve represented finding procedure. Ultimately, contrast previous works that utilize gross manufacturer procedure, main contribution novelty is very results, which draw experimental-based models. Moreover, actual controllers were used