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GPS-track data processing for the optimisation of the powertrain for hybrid electric vehicles

Vagapov, Yuriy, Kulik, Egor, Trung Tran, Xuan and Anuchin, Alecksey (2017) GPS-track data processing for the optimisation of the powertrain for hybrid electric vehicles. In: 58th Int. Sci. Conf. on Power and Electrical Engineering of Riga Technical University, 12-13 October 2017, Riga Technical University, Riga, Latvia.

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Official URL: http://ieeexplore.ieee.org/document/8124845/

Abstract

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 powertrains.

Item Type: Conference or Workshop Item (Paper)
Divisions: Applied Science, Computing and Engineering
Depositing User: Hayley Dennis
Date Deposited: 05 Feb 2018 14:27
Last Modified: 05 Feb 2018 14:27
URI: http://glyndwr.collections.crest.ac.uk/id/eprint/17275

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