Optimisation of electric vehicle with the in-wheel motor as a dynamic vibration absorber considering ride comfort and motor vibration based on particle swarm algorithm

Pingping Zhao, Z. Fan
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引用次数: 1

Abstract

Compared with other electric vehicles, the ride comfort of the electric vehicle with the in-wheel motor as a dynamic vibration absorber has significantly improved. However, the in-wheel motor is used as a dynamic vibration absorber, aggravating the motor vibration, thus affecting motor performance and life. In addition, the space inside the wheel is limited, so the vibration displacement of the motor relative to the hub needs to be constrained. In fact, the literature on ride comfort of the electric vehicle with the in-wheel motor as a dynamic vibration absorber has hardly considered motor vibration. So, this article comprehensively investigates the ride comfort and motor vibration of this electric vehicle. Firstly, the vibration model of the electric vehicle with the in-wheel motor as a dynamic vibration absorber is established. Then, the optimisation model of this electric vehicle is founded. Next, the multi-objective particle swarm optimisation algorithms based on adaptive grid and crowding distance are used to optimise the model, and these two algorithms are compared. The optimal solutions in three typical cases are obtained. Finally, the vibration responses of this electric vehicle model before and after optimisation, the traditional electric vehicle model, and the in-wheel motor drive electric vehicle model are compared in case 1. The results show that all vibration responses are improved to different degrees after optimisation; the algorithm based on crowding distance can seek out the optimal solutions faster, but it takes longer to complete the whole optimisation process.
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考虑平顺性和电机振动的轮内电机动态减振器电动汽车优化研究
与其他电动汽车相比,采用轮内电机作为动态减振器的电动汽车的乘坐舒适性有了明显提高。然而,轮毂电机作为动态减振器使用,加剧了电机的振动,从而影响电机的性能和寿命。此外,车轮内部空间有限,因此需要约束电机相对于轮毂的振动位移。实际上,关于轮内电机作为动力减振器的电动汽车平顺性的研究文献很少考虑电机的振动。因此,本文对该电动汽车的平顺性和电机振动进行了全面的研究。首先,建立了以轮毂电机为动力减振器的电动汽车振动模型;然后,建立了该电动汽车的优化模型。其次,采用基于自适应网格和拥挤距离的多目标粒子群优化算法对模型进行优化,并对两种算法进行比较。得到了三种典型情况下的最优解。最后,将优化前后的电动汽车模型、传统电动汽车模型和轮毂电机驱动电动汽车模型的振动响应进行对比分析。结果表明:优化后各结构的振动响应均有不同程度的改善;基于拥挤距离的算法可以更快地找到最优解,但完成整个优化过程所需的时间较长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
11.10%
发文量
38
审稿时长
>12 weeks
期刊介绍: The Journal of Multi-body Dynamics is a multi-disciplinary forum covering all aspects of mechanical design and dynamic analysis of multi-body systems. It is essential reading for academic and industrial research and development departments active in the mechanical design, monitoring and dynamic analysis of multi-body systems.
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