Multi-field coupling modeling method for hub driving system

Abstract

The invention discloses a multi-field coupling modeling method for a hub motor driving system. According to the technical scheme, the method comprises the steps of performing analysis according to a specific structure of the hub motor driving system and a researched problem; determining physical fields involved by the hub motor driving system; building physical field analysis models of the hub motor driving system by adopting a proper modeling method, and performing verification on the correctness of the built models; from a local two-field coupling model, performing analysis on a coupling mechanism of the physical fields; according to an analysis result, determining a coupling form of the physical fields, decoupling a global multi-field coupling problem, and dividing the problem into a series of sub-problems (sub-modules) for processing; building coupling analysis models of the sub-problems, and verifying the validity of the coupling analysis models; and coupling all the built sub-problem models to build a global coupling analysis model. According to the modeling method provided by the invention, the model precision and solving difficulty are taken into account better while multi-field interaction is considered; and the method has relatively high applicability.

Description

technical field [0001] The invention relates to the field of pure electric drive of electric vehicles, in particular to a multi-field coupling modeling method of an in-wheel motor drive system. technical background [0002] The in-wheel motor drive system integrates the in-wheel motor, deceleration mechanism, brake, etc. into the wheel. The introduction of the new chassis structure simplifies the transmission system, improves the transmission efficiency, and increases the effective use of space to improve the passing performance of the vehicle. As the core technology of in-wheel motor-driven electric vehicles, the performance of the in-wheel motor drive system will directly affect the driving / braking performance of each driving wheel and the driving performance of the vehicle. Therefore, in order to obtain the isotropic performance characteristics of the in-wheel motor drive system, it is essential to analyze its performance in the design and application stages, and the prem...

AI Technical Summary

Problems solved by technology

However, if all the coupling relationships are taken into account in the modeling process, on the one hand, the model will be too complex and contain many parameters, making it complicated to determine the correlation between the parameters and the dynamic characteristics of the given system, and it is difficult to find the relationship between the parameters and the system. The relationship and law between dynamic characteristics; on the other hand, it will increase the state variables of the model and have a higher order. It is difficult to calculate and simulate such high-order systems

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