Open AccessSimulation Based Validation of Range Prediction of Electric Vehicles
Author(s) -
Mohammed Rabhi,
Imre Zsombók
Publication year - 2022
Publication title -
periodica polytechnica. transportation engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.388
H-Index - 15
eISSN - 1587-3811
pISSN - 0303-7800
DOI - 10.3311/pptr.15059
Subject(s) - range (aeronautics) , driving range , automotive engineering , transport engineering , energy consumption , electric vehicle , consumption (sociology) , computer science , energy (signal processing) , environmental economics , road transport , driving cycle , environmental science , engineering , electrical engineering , economics , social science , power (physics) , statistics , physics , mathematics , quantum mechanics , sociology , aerospace engineering
With the increasing environmental pollution in our urban communities along with the continuous exhaustion of oil assets, electric vehicles are ending up profoundly supported as means of transport. There is a proceeding with increment in the quantity of EVs being used, however their global expansion and acceptance by consumers is identified with the performance they can deliver. The most significant highlights here are observably the low energy density, with staggering expenses and short cycle life bringing about constrained mileage contrasted with conventional passenger vehicles. Ordinarily, in the technical specifications of electric cars, automakers give an operational combined range which isn't completely accurate and doesn’t differentiate and take into consideration several influencing factors (urban driving or inter city traffic, ambient temperature, utilization of auxiliary equipment …). For the owners it is imperative to know as accurate as possible the remaining range and influence of the auxiliaries on energy consumption and mileage. That information will guarantee a tranquil and pleasant journey regardless of the constrained range of electric vehicles.