2026-10-29T22:39:15Zhttps://bayburt-rdlopen.rawdatalibrary.net/oai/request

oai:bayburt-rdlopen.rawdatalibrary.net:bayburt/129302026-10-29T19:42:50Zopenairedrivercom_bayburt_10000col_bayburt_10001com_bayburt_10010col_bayburt_10224

Double adaptive power allocation strategy in electric vehicles with battery/supercapacitor hybrid energy storage systemÇorapsız, Muhammed ReşitKahveci, Hakanbattery - supercapacitor HESSdouble adaptive power allocationelectric vehiclesenergy managementfrequency separationThis paper proposes a new energy management strategy (EMS) for electric vehicles (EVs) with battery/supercapacitor hybrid energy storage systems (HESS). Firstly, the battery/supercapacitor HESS configuration and obtaining the load current from the driving cycle are comprehensively explained. Secondly, fixed and adaptive frequency-based (AFB) EMS are discussed in detail. In the proposed method, the current demanded by the load is separated into low and high-frequency components with the help of an adaptive low-pass filter (A-LPF). In addition, adaptive battery current (ABC) is generated according to the supercapacitor (SC) state of charge (SoC), and a double adaptive power allocation strategy is performed. The proposed method is compared with the AFB-EMS for load currents, load powers, DC link voltages, filter cut-off frequencies, battery, and SC SoCs on the UDDS driving cycle. When the obtained results were evaluated together, it was observed that the proposed method completed the driving cycle with a higher battery SoC and realized the adaptive cut-off frequency in a narrower band.John Wiley and Sons Ltd2022Articlehttps://rdlopen.rawdatalibrary.net/r/bayburt/12930https://doi.org/10.1002/er.85010363-907XenInternational Journal of Energy Researchinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://bayburt-rdlopen.rawdatalibrary.net/tr/items/bayburt/12930