شماره ركورد كنفرانس :
5402
عنوان مقاله :
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
عنوان به زبان ديگر :
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
پديدآورندگان :
Mohammadiyan Asiabar Mohammadreza mohammadrezamohammadiyan28@yahoo.com Islamic Azad University, Karaj Branch , koochaki Jabber jabber.koochaki@gmail.com Islamic Azad University, Karaj Branch
كليدواژه :
Electric vehicles , Hybrid electric vehicles , Powertrain optimization , GPS , track , Mechanical model
عنوان كنفرانس :
اولين كنفرانس ملي پژوهش و نوآوري در هوش مصنوعي
چكيده فارسي :
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
