A Smart ANN-Based Converter for Efficient Bidirectional Power Flow in Hybrid Electric Vehicles

• DOI: 10.3390/electronics11213564
• Publication Date: 2022-11-01T10:01:28Z
• Authors: R.S.Ravi Sankar; Keerthi Deepika.K; Mohammad Alsharef; Basem Alamri
• Keywords: Overshoot (microwave communication); Settling time; Buck converter

Electric vehicles (EV) are promising alternate fuel technologies to curtail vehicular emissions. A modeling framework in a hybrid electric vehicle system with joint analysis of EV powering and regenerative braking mode is introduced. Bidirectional DC–DC converters (BDC) important for widespread voltage matching effective recovery feedback energy. BDC connects the first source (FVS) second (SVS), DC-bus at various levels implemented. The main objectives this work coordinated control DC energy sources levels, independent power flow between both sources, regulation current from sources. Optimization converter circuit HEV designed using an artificial neural network (ANN). Applicability bidirectional management demonstrated. Furthermore, dual-source low-voltage buck/boost enables two sources—FVS SVS. In modes operation converter, drive performance ANN compared conventional proportional–integral control. Simulations executed MATLAB/Simulink demonstrate low steady-state error, peak overshoot, settling time controller.