Bidirectional Converter for Plug-In Hybrid Electric Vehicle On-Board Battery Chargers with Hybrid Technique

Recently, Plug-in Hybrid Electric Vehicles (PHEVs) have gathered a lot of attention by integrating an electric motor with Internal Combustion Engine (ICE) to minimize fuel consumption and greenhouse gas emissions. The On-Board Chargers (OBCs) are selected in this research because they limited dimensions mass, also consume low amounts power. Equivalent Series Resistance (ESR) filter capacitor is minor, so the zero produced ESR positioned at high frequency. In state, system magnitude gradually drops, causing ripple circuit that generates harmful impact on battery’s stability. To improve stability system, Neural Network Improved Particle Swarm Optimization (NN–IPSO) control algorithm was developed. This study establishes isolated converter topology for PHEVs preserve battery-charging functions through lesser number power electronic devices over existing topology. controlled NN–IPSO PHEV, which interfaces battery. simulation results were validated MATLAB, indicating proposed NN–IPSO-based minimizes Total Harmonic Distortion (THD) 3.69% losses 0.047 KW, increases efficiency 99.823%, much better than Switched Reluctance Motor (SRM) train