Taguchi-TOPSIS Methodology for Optimizing Electric Vehicle Charging: A Data-Driven Approach to Enhancing Charging Efficiency and Minimizing Energy Consumption
Year: 2026
Type: article
Abstract: Efficiency in charging is essential to reduce the charging time and the amount of energy required, which has become a critical requirement due to the increased use of electric vehicles (EVs). To address this problem, the Taguchi-TOPSIS technique was employed to find the ideal combination for reducing the EV charging time and energy consumption, taking into account important parameters like the charging power, battery temperature, voltage, and cable length. To measure the effect of the input parameters on the output variables, the S/N ratios of all input parameters were computed, and the ranking of the EV charging parameters was done through the delta values. Residual plots were plotted to verify the precision of the model developed. The ANOVA findings indicate that the battery temperature parameter is the most significant one affecting EV charging time and energy consumption. The optimal combination identified through this analysis was P3-T1-V3-L1, where the specific parameters for the optimal setup included: a charging power of 9 kW, a battery temperature of 15°C, a voltage of 500V, and a cable length of 1 meter. This configuration ensures efficient charging procedures by lowering energy consumption and time required for charging.
Institution: AMET University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7166876868