Our study, conducted by Alexander Wahl et al., focuses on utilizing temperature-dependent efficiencies of the motor and inverter through economic model predictive control (MPC). Our approach includes a detailed modeling of motor losses to explain thermal effects on loss shares. The results show that our method can lead to up to a 2.86% increase in system efficiency for a mixed highway and city drive. We were able to achieve a motor efficiency increase of up to 1.12% mainly by reducing AC-copper losses.

Copyright: © Elsevier Ltd., https://doi.org/10.1016/j.apenergy.2023.120887

These findings have important implications for the design and optimization of EV systems and demonstrates the potential for energy savings through the application of advanced control techniques. We look forward to continuing our research in this area and collaborating with industry partners to implement these innovative solutions.