Multi-objective Optimization and Performance Comparison of Different Driving Configurations of In-wheel Motors

Energy consumption and environmental pollution have stimulated the development of electric vehicles (EVs), among which in-wheel motors (IWMs) are convinced to be ultimate driving technology for simplification powertrain. In this paper, advantages disadvantages different configurations conventional IWMs discussed. Subsequently, four dual-motor including torque-coupling configuration (DMTDC), speed-coupling (DMSDC), multi-modes (DMMDC) power-split (DMPDC) proposed. Thereafter, a two-layer hierarchical multi-objective optimization regarding parameters is The upper layer contains algorithms while lower runs dynamic programming (DP) obtain optimal energy acceleration time. results show that performances IWM improved significantly compared single-motor configurations.