A Fusion Modeling Approach for Six-Phase Hybrid Excitation Synchronous Motor, Leveraging Finite-Element Analysis, and Experimental Data-Driven

In the rapidly evolving automotive electrification landscape, Belt-driven Starter and Generator (BSG) systems demand advanced motor modeling techniques. This research addresses critical challenges in six-phase hybrid excitation synchronous motors (6P-HESM) by developing a comprehensive framework that bridges theoretical modeling and practical automotive applications. A fusion modeling approach for 6P-HESM, leveraging finite-element analysis (FEA) and experimental data-driven is proposed in this paper to serve the application of 6P-HESM in BSG application. The proposed approach focuses on the fusion model construction, including analytical model derivation, model parameters acquisition with FEA and experimental data-driven and model fusion. The first one is carried out by vector space decomposition method with consideration of delta connection in stator windings. The second one is realized by experimental measurements, FEA and their combination with data-driven means, such as artificial neural networks. The last one is performed in MATLAB/Simulink platform based on the vehicle BSG scenario, and torque estimation is used as the target of model validation. Finally, the validation experiment is performed on test benches. The proposed model demonstrates superior torque estimation performance in BSG application without phase current. The proposed approach is also suitable for six-phase or three-phase permanent magnet synchronous motor, three-phase HESM and so on.