Numerical analysis of the SOC factor variations’ influence on the autonomy of an electric vehicle

Abstract

Electric vehicles are considered to be the immediate solution to drastically reduce the pollutant emissions from the road transport sector. However, one of the barriers of the massive penetration of the automotive market by electric vehicles is related to consumer/driver anxiety linked to the autonomy of electric vehicles. Autonomy depends directly on the battery technology that equips the electric vehicle, and from this point of view, the technology based on Li-Ion electrochemistry is the most accepted. This article presents a study by numerical simulation methods on the functional performance (autonomy) of an electric vehicle equipped with three different types of batteries (LiCoO2, LiFePO4, and a classic Acid-lead), as they have a low battery energetic charge. The obtained results showed that there are differences between the various technologies considered, the most efficient one being the LiCoO2 battery type.

Real Driving Range in Electric Vehicles: Influence on Fuel Consumption and Carbon Emissions

“…Private companies develop their own tests to determine the driving range of an electric vehicle with the subsequent different results; tests, however, have been normalized according to specific protocols such as NEDC, WLTP, FTP-75 and JP-08 (see Section 3), although some studies have developed a simulation process to take into account the different factors affecting the electric vehicle range [18]. The driving range of an electric vehicle, however, is not a constant value, as it depends on many factors such as driving mode [19,20], road type [21], traffic environment [22], battery aging [23,24], etc. ; therefore, the real value currently differs from car manufacturer data.…”