Computational models of an inductive power transfer system for electric vehicle battery charge

4th International Conference on Mathematical Modeling in Physical Sciences

物理学;数学

Anele, A.O.^1,2 ; Hamam, Y.^1 ; Chassagne, L.^2 ; Linares, J.^3 ; Alayli, Y.^2 ; Djouani, K.^1

Dept. of Electrical Engineering, Tshwane University of Technology, Pretoria, South Africa^1

LISV Laboratory, Université de Versailles Saint-Quentin-en-Yvelines, Versailles, France^2

GEMaC Laboratory, Université de Versailles Saint-Quentin-en-Yvelines, Versailles, France^3

关键词: Computational model;    Electric vehicle batteries;    Electric Vehicles (EVs);    Fundamental principles;    Inductive power transfer systems;    Inductive power transfers (IPT);    Technical solutions;    Technical specifications;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/633/1/012010/pdf
DOI  :  10.1088/1742-6596/633/1/012010

来源: IOP

【 摘 要 】

One of the issues to be solved for electric vehicles (EVs) to become a success is the technical solution of its charging system. In this paper, computational models of an inductive power transfer (IPT) system for EV battery charge are presented. Based on the fundamental principles behind IPT systems, 3 kW single phase and 22 kW three phase IPT systems for Renault ZOE are designed in MATLAB/Simulink. The results obtained based on the technical specifications of the lithium-ion battery and charger type of Renault ZOE show that the models are able to provide the total voltage required by the battery. Also, considering the charging time for each IPT model, they are capable of delivering the electricity needed to power the ZOE. In conclusion, this study shows that the designed computational IPT models may be employed as a support structure needed to effectively power any viable EV.