IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

A Novel Design of Hybrid Energy Storage System for Electric Vehicles using Artificial Intelligence

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Mr. Kuppireddy Krishna Reddy 1, Mr. Bosubabu Sambana 2

Abstract

To guarantee indicates a strong and the lowering of a minimization problem for EVs, we construct an unique hybrid power storage for an electric engine in this research. The Li-ion pack equivalent circuit is being used extensively owing to its convenience and usefulness in the realms of control and estimation. This research presents a way for controlling the power system by means of a power relationship limiting rule dependent on the amazingly capacitor (SOC). However, although having a significant influence on EV performance, the effect of temperature is seldom accounted for in existing comparable circuit models. Concurrently, the DC-DC converters of EVs have a low-pass filter added to them using magnetic integration technology that is of a lower order and hence more cost-effective. It is difficult to determine the relationship between temperature, state - of - charge (SOC), and comparable circuit properties. It's possible that the battery's total size may be reduced thanks to the dual energy storage, and power quality can be enhanced. To better depict lithium-ion batteries, we use fuzzy logic in this research. Using fuzzy rules, the effect of SOC and heat just on parameters is described in a clear and thorough way. The accuracy of the fuzzy model throughout a temperature range is confirmed by the simulation results.

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