Modeling and Performance Evaluation of ANFIS Controller-Based Bidirectional Power Management Scheme in Plug-In Electric Vehicles Integrated With Electric Grid

A bi-directional power exchange between the plug-in electric vehicle (PEV) and AC electrical grid is necessary to perform Vehicle Grid (V2G) (G2V) operations. While performing these operations, different converters controllers play an important role as mediators PEV grid. Various works have demonstrated utilization of for PEV’s battery management. However, existing conventional technical shortcomings about vulnerability controller gain, accurate mathematical modelling, poor adaptability, sluggish response a sudden outburst lengthy interval execution processing. Therefore, this paper develops adaptive neuro-fuzzy inference system (ANFIS) control strategy based bidirectional management scheme ensure optimal flow storage in PEVs. This aims reduce stress on side utilize unused properly. The performance ANFIS model varied using two PEVs real-life consumptions by loads at home five operational modes. Besides, comparative analysis PI carried out demonstrate effectiveness proposed scheme. results illustrate that delivers smoother injection from with least harmonics well achieves profile less distortion when absorbed battery.