Robust Design Optimization of Component Parameters for DMDEB Powertrain System Based on Taguchi Method

The selection of component parameters plays an important role in the energy optimization of dual-motor drive electric buses (DMDEBs). To design a set of parameters that can be robust to different road slopes, passenger masses, and bus routes, a Taguchi-based robust design optimization method is proposed in this paper for DMDEBs. First, the dynamic programming (DP) is designed as a part of the Taguchi method to explore the optimal solution (electricity consumption) corresponding to each set of component parameters. Then, by taking the optimal electricity consumption obtained by DP as the response, the Taguchi method is utilized to find the robust component parameters that are insensitive to the noise factors. To evaluate the robustness and reliability of the designed component parameters, a six sigma analysis based on Monte Carlo sampling is employed considering three kinds of stochastic disturbances. Finally, simulation results demonstrate that the proposed robust design optimization method is effective and the designed component parameters have better robustness than the initial component parameters.

Automated summary

This paper proposes a Taguchi-based robust design optimization method for energy optimization of dual-motor drive electric buses. By using dynamic programming and the Taguchi method, robust component parameters that are insensitive to noise factors are found, and their robustness and reliability are evaluated using a six sigma analysis based on Monte Carlo sampling.