Multi-Objective Optimization of Kinetic Energy Recovery systems using Taguchi-GRA Methodology

This investigation introduces an optimization strategy for process parameters in a Kinetic Energy Recovery System (KERS) by employing the Taguchi method in conjunction with Grey Relational Analysis (GRA). The selection of vehicle speed and braking load as primary input variables is complemented by the use of power recovery and braking distance as essential performance metrics. The findings from the experiments demonstrate that the ideal parameters for reducing braking distance occur at a velocity of 30 km/h with a load of 1.0 kg, whereas the peak power recovery is realized at 60 km/h under the same load conditions. Analysis of the signal-to-noise (S/N) ratio and the application of Grey Relational Grades were utilized to substantiate the findings and determine the most significant parameter. The findings indicate that vehicle speed significantly influences both energy recovery and braking performance in a concurrent manner. This comprehensive optimization strategy establishes a solid foundation for enhancing the effectiveness of KERS in automotive contexts. Major Findings: The research enhanced KERS through Taguchi-GRA, determining vehicle speed as the primary influencing factor. The optimal braking distance was recorded at 30 km/h with a load of 1.0 kg, whereas the maximum energy recovery was noted at 60 km/h with the same load condition. Results indicate that speed has a substantial effect on recovery efficiency and braking performance concurrently.