Abstract
This paper presents a novel integrated permanent magnet (PM) in-wheel motor (IWM) driving system for electric vehicles (EVs), in order to overcome the disadvantages of electromagnetic vibration and cogging torque in the topology scheme, on the basis of maintaining high output torque. Firstly, the transient magnetic field of the integrated PM motor is analyzed using the improved analytical subdomain model and finite element (FE) model. The harmonic component of magnetic force density (MFD) is obtained with no-load condition. Furthermore, the vertical dynamic model for the dynamic vibration absorber is established to investigate the influence of the magnetic force harmonic on the vibration response of the stator and rotor. On this basis, the multi-objective optimization design of the pole–slot structure parameters is carried out by using the adaptive weighted particle swarm optimization (AWPSO) algorithm. Finally, the optimization results are compared and verified by FE analysis. The investigation shows that the unbalanced magnetic force and cogging torque is significantly reduced by the adjustment of the pole-arc coefficient, PM thickness, stator slot width and slot opening width.
Highlights
In recent years, as new-energy vehicles are being widely promoted, the relevant scientific research institutions have carried out innovative investigations into the core parts of automobiles.The driving motor is one of the main technologies in the transformation of electric vehicles, which has changed, from centralized wheel-side to in-wheel driving
As shown in the comparison of the analysis results, the amplitude of magnetic force density (MFD) decreased to some extent, and the MFD with the optimal dimensions is more symmetrical, which reduces the generation of unbalanced electromagnetic force
This paper proposes an integrated in-wheel motor (IWM) direct driving system for potential applications in electric vehicles (EVs), whereby high torque density and lower vertical vibration negative effects can be obtained
Summary
As new-energy vehicles are being widely promoted, the relevant scientific research institutions have carried out innovative investigations into the core parts of automobiles. Lee et al [16] presented the response-surface methodology for optimizing the slot–pole combination, so as to eliminate the harmonic components caused by the non-ideal spatial distribution of radial flux density. This selection was generally limited by other performance requirements. In view of the advantages of the adaptive particle swarm optimization algorithm in solving the Energies 2020, 13, x FOR PEER REVIEW multi-objective functions, in this paper, an adaptive weighted particle swarm optimization method for motor structure optimization is presented This paperparameter reports on the optimal design of the proposed integrated IWM, based on.
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