Performance analysis on improving the dynamic response of DC DC converter with controller using metaheuristic algorithms for electric vehicle applications

Abstract

In Modern Era, Electric Vehicles (EVs) are gaining larger newlineattention because of its characteristics like minimal running cost, newlineenvironmental perception, and low maintenance. EV s are typically built newlineusing batteries and DC-DC converters. DC-DC converters adjust the input newlinevoltage from one level to another. A stable voltage output from source to newlineload is produced by the converters. In uncertain conditions, converters newlineexperienced instability and manifest changes in dynamic response. The newlinecontrol strategy of a DC-DC converter ensures a constant DC output voltage, newlineregardless of fluctuations in the input. newlineNumerous researches had been undertaken to address challenges newlineand enhance the dynamic response of DC-DC converters in Electric Vehicle newlineapplications. Various DC-DC converter configurations have been explored newlinefor the design of Battery Electric Vehicles (BEVs) and Plug-in Hybrid newlineElectric Vehicles (PHEVs). As a competent topology, Multi-device newlineInterleaved DC-DC Bidirectional Converter (MDIBC) has been implemented newlinefor BEVs and PHEVs. Nevertheless, the computational cost by MDIBC, was newlinenot minimized. However, a drawback was that the settling time and peak newlinetime were not reduced. Two approaches are proposed in this research work to newlinetackle above-aforesaid existent issues. newline