The aim of this study is to analyse the charging process of electric vehicles and identify the main parameters that influence it. Based on the comparison with several experimental studies, three representative charging curves were obtained through fitting in MATLAB, considered for different initial state of charge values. Subsequently, through a linear interpolation, a complete model was developed to describe the dynamic variation of the charging power, so that it can be applied in different scenarios. The accuracy of the model was evaluated by comparing the simulated charging times with those of ten real charging sessions. The result showed a mean absolute error of 4.3% and a mean relative error of 0.09%, indicating good consistency with real data. The proposed model can therefore be employed within charging infrastructure simulations to support proper sizing.
Curve Fitting-Based Modelling of Electric Vehicle Charging Power Profiles / Calise, F., Cappiello, F.L., Cimmino, L., Dentice D'Accadia, M., Vicidomini, M.. - 1:(2026), pp. 94-100. (15th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2026 esp 2026) [10.5220/0015006600004042].
Curve Fitting-Based Modelling of Electric Vehicle Charging Power Profiles
Calise F.;Cappiello F. L.
;Cimmino L.;Dentice d'Accadia M.;Vicidomini M.
2026
Abstract
The aim of this study is to analyse the charging process of electric vehicles and identify the main parameters that influence it. Based on the comparison with several experimental studies, three representative charging curves were obtained through fitting in MATLAB, considered for different initial state of charge values. Subsequently, through a linear interpolation, a complete model was developed to describe the dynamic variation of the charging power, so that it can be applied in different scenarios. The accuracy of the model was evaluated by comparing the simulated charging times with those of ten real charging sessions. The result showed a mean absolute error of 4.3% and a mean relative error of 0.09%, indicating good consistency with real data. The proposed model can therefore be employed within charging infrastructure simulations to support proper sizing.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


