Electric differential control for electric vehicles based on EMD method

The differential devices are of vital importance for a car on its performance. Traditionally, the problem of differential control is solved by mechanical devices. Compared to mechanical devices, electric differential systems have many advantages but the control of electric differential is complex. A strategy of electric differential control for electric vehicles is presented in this paper. The method of using the data acquired by measurement for curve fitting is proven to be an effective way to solve the electric differential problem. Since the data got by measurement are mixed with noises, it is inevitable that the process of de-noising and filtering is required. Compared to Fourier transform and wavelet transform methods, Empirical Mode Decomposition method can extract the useful signals much better. The results of curve fitting differential ratio after de-noising and filtering give a strong evidence of the effectiveness of the method and guide the electric differential control for electric vehicles in practice.

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