Abstract
An accurate estimation of vehicle mass is important in automation of vehicle, vehicle following manoeuvres and traditional power train control schemes. It is easy for four-wheel-hub electric motor to get accurate speed signals and torque signals. Based on this feature we introduce a new algorithm for electric vehicle online-mass estimation by decoupling vehicle mass and road grade. In the Matlab/Simulink simulation environment we establish the new estimation algorithm model and an 18 degree of freedom vehicle model. We analyze the accuracy of this online-mass estimation method by changing the value of different parameters respectively, for example, different masses, different rolling resistances… This new mass estimation method is fast and reaches a high accuracy without extra sensors.
F2012-D03-014
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Acknowledgments
This work was supported by National Basic Research Program of China. (No.2011CB711200)
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Zhang, J., Yu, Z., Xiong, L., Feng, Y. (2013). Analysis of the Adaptation of a New Method for Four-Wheel-Hub Electric Vehicle Online-Mass Estimation. In: Proceedings of the FISITA 2012 World Automotive Congress. Lecture Notes in Electrical Engineering, vol 194. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33829-8_41
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DOI: https://doi.org/10.1007/978-3-642-33829-8_41
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