processing and analyzing gps data and generating tangential and normal acceleration data in a specified path in order to efficiently model and optimization the parameters of hybrid and pure electric propulsion

In this paper presents a method of gps-track data processing and analysis which is aimed at obtaining the tangential and normal acceleration and the elevation angle data of a vehicle driving over its entire route with respect to time. the method comprises an algorithm which eliminates the position reading errors of the gps system and improves the accuracy of the results. the data produced by this proposed method can be used for the efficient modelling and optimisation of the parameters of hybrid electric and pure electric power trains