Real world driving cycles for Electric and Hybrid Electric vehicles Definition of a synthesis methodology and implementation on real-world case studies within the ASTERICS project

Content Provider	Semantic Scholar
Author	Lorenzo, Berzi Marco, Pierini Hellal, Benzaoui Philippe, Dutal Florian, Pereyron Laura, Borgarello Claudio, Ricci Alessandro, Piu David, Storer Horst, P.
Copyright Year	2014
Abstract	small number of light vehicles, and in particular: • electric quadricycles (Renault Twizy), used both for light freights delivery and commuting • electric vans (Renault Kangoo ZE, under 3.5t class), used for light freights delivery • electric passenger cars (Peugeot iOn), used by various private and commercial users for general purpose trips. The acquisition took place on vehicles which were used during their normal service; the detail of the acquisitions had to be limited (e.g. sometimes GPS not allowed for privacy reasons). The main advantage of such approach is that data are supposed to be representative of the use to which the vehicles are subjected, the city of Florence being affected by intense traffic within its historical center. Any process for the definition of a driving cycle is based on the following steps: 1. road/vehicle data acquisition in a predefined context 2. data pre– processing and preparation for analysis • filtering 3. data processing, e.g. • kinematic parameters calculation • Trips-Microtrip s recognition and grouping 4. cycle synthesis • data selection/randomization • verification Real world driving cycles for Electric and Hybrid Electric vehicles
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Alternate Webpage(s)	https://flore.unifi.it/retrieve/handle/2158/1023314/102579/DIEF_poster_egvi_2014_asterics.pdf
Alternate Webpage(s)	https://egvi.eu/wp-content/uploads/2018/04/5UNIFI-DIEF-ASTERICS_poster_egvi_2014.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article