Akademik Veri Yönetim Sistemi
An International Journal of Optimization and Control: Theories Applications (IJOCTA), cilt.11, sa.1, ss.30-40, 2021 (ESCI)
In this manuscript, fuzzy logic energy management strategy for dual storage system including supercapacitors and battery is proposed in order to prolong battery lifespan and enhance the range of electric drive vehicle (EDV). First an EDV model and three drive cycles (NEDC, UDDS, and NREL) are established in Matlab/Simulink. Then a fuzzy inference system is designed considering three inputs: power demand, state of charge (SOC) of battery and SOC of su-p ercapacitors. An output, which refers to split ratio between supercapacitors and battery power, is determined. Fuzzy rules are constituted in order to de-crease not only high level battery current but also number of charge/discharge cycle of battery which are the main factors of battery deterioration. For a per-formance verification of the proposed method, three drive cycles with different characteristics are considered. Obtained results are compared to two other strategies; one of them is battery only system and the other one is dual stor-age system managed by logic threshold method. It is shown that the proposed method delivers better and robust performance to prolong battery lifespan.