Structural design of the electric vehicle components using Runge-Kutta optimization algorithm

This research focuses on the optimization of a battery pack housing profile of an electric vehicle using advanced structural optimization techniques, specifically topology and shape optimization. The newly developed Runge-Kutta optimization algorithm(RKOA) was applied to minimize the component's weight without violating allowable stress constraints for the shape optimization phase. The artificial neural network (ANN) surrogate modeling method was employed to model the objective and constraint functions accurately. The findings indicate that RKOA delivers improved optimization results compared to the Harris Hawks algorithm, demonstrating its effectiveness in achieving an electric vehicle design's lightweight and structurally sound battery pack housing profile.