ASSESSMENT SCELIC BASED HIGH-POWER BIDIRECTIONAL DC-DC CONVERTER FOR EFFECTIVE ENERGY MANAGEMENT IN PHEV

Abstract

In this paper novel self-computational emotional learning based intelligent controller is proposed for battery charging control in Plug in Hybrid Electric Vehicle (PHEV). PHEV plays a significant role in world’s vehicle market for its reduced fuel consumption and less emission of gasoline. The large capacity of a battery in PHEV reduces fuel consumption, but it is an unexpected load in a residential power system. It may cause a Voltage drop in a power system in case of uncoordinated charging of many PHEVs at a time. A high power bidirectional DC-DC converter is introduced in PHEV to charge the battery when the motor in PHEV acts as a generator. Effective of charging of battery reduces the load to the grid which is proposed by novel SCELIC controller in this paper. Effectiveness of the proposed system is simulated using Matlab and compared to the Adaptive neuro-fuzzy controller based charging system. This paper proposes a method to reduce load demand on the distribution grid