Optimal Sizing of Battery and Super-Capacitor Based on the MOPSO Technique via a New FC-HEV Application

In light of the energy and environment issues, fuel cell vehicles have many advantages, including high efficiency, low-temperature operation, zero greenhouse gas emissions, making them an excellent choice for urban environments where air pollution is a significant problem. The dynamics cells, on other hand, are relatively slow, owing principally to compressor manifold filling. Because these can limit overall performance vehicles, two key technologies that emerged as critical components electric vehicle powertrains batteries supercapacitors. However, choosing best hybrid storage system combines battery supercapacitor task nowadays. An simulated application by MATLAB Code modeled in this article using multi-objective particle swarm optimization technique (MOPSO) determine appropriate type supercapacitors SFTP-SC03 drive cycle. This optimized both component sizing power management at same time. Batteries five distinct types (Lithium, Li-ion, Li-S, Ni-Nicl2, Ni-MH) different (Maxwell BCAP0003 ESHSR-3000CO) were used. Each distinguished its weight, capacity, cost. As consequence, Li-ion with Maxwell represented optimal form our driving conditions, reducing consumption approximately 0.43% when compared ESHSR-3000CO.