ANFIS-Based Soft-Switching V2V Energy Transfer Topology for Enhanced Efficiency in Electric Vehicles

Abstract

One of the most encouraging ways to decrease transportation-related emissions is the electrification of automobiles. The broad adoption of electric vehicles (EVs) is hindered, however, by range anxiety. In times of crisis, the "last-mile" problem can be solved and range anxiety reduced with the help of vehicle-to-vehicle (V2V) energy transfer. However, optimizing efficiency during power transfer is usually overlooked by traditional V2V energysharing solutions that rely on motor inverters and motor windings. A novel V2V powertransfer topology with a soft-switching method working at a lower switching frequency is proposed in this research to enhance overall system performance. The motor's windings and silicon-steel core act as an inductive component during V2V energy exchange, and the core losses are greatly reduced by the decreased switching frequency. In addition, the suggested architecture incorporates an ANFIS controller for smart, real-time optimization of switching settings. The ANFIS controller increases energy-transfer efficiency, soft-switching performance, and switching losses by learning nonlinear system features and adjusting to changing operating circumstances and loads. Utilizing a 150-kW simulation model and a 1.5- kW laboratory-scale experimental prototype, the efficacy of the suggested V2V topology with ANFIS-based control is confirmed. The results show enhanced efficiency, decreased core losses, and strong flexibility in various operating situations.