Interleaved DC-DC single ended primary inductance converter (SEPIC) employed as switched mode DC-DC converter to suppress input current harmonics in onboard charger of Electric Vehicle (EV) is investigated in this paper. In order to reduce the ripple currents at the input side effectively, the suggested converter connects two SEPIC converters in parallel with 180 degree phase shift and the expression for ripple cancellation factor is derived. The switches in interleaved converters experience 50% lesser current stress than the non-interleaved converters. This paper analyzes the current stress of MOSFET switches and diodes of Interleaved DC-DC SEPIC converter and conventional SEPIC converter. This paper implements control strategy based on hybrid particle swarm optimization grey wolf optimization (HPSOGWO) algorithm to suppress current harmonics and to obtain high tracking accuracy with faster convergence rate. The proposed HPSOGWO based control technique enhances the performance of the existing solutions in terms of input power factor, %efficiency, %voltage regulation and %total harmonic distortion (THD) for the onboard charger. The performance enhancement of HPSOGWO algorithm is tested by non-parametric method of statistical analysis called Kruskal Wallis-One way Analysis of Variance using R programming. The converter’s hardware prototype is built for 200W output power, and the simulation results are supported by experimental results with TMS320F28027 microcontroller.