Determination of inductor parameters of induction charging device for contactless method of charging electric transport

THE PURPOSE. The lack of charging infrastructure is one of the main reasons for the refusal to use electric vehicles in Russia. The solution could be the development of mobile electric vehicle charge units (MCSEU). To implement a truly competitive product, it is necessary to take into account all possible types of electric vehicle charging, and not only standard ones, CHAdeMO, CCS, etc., but also wireless charging based on an induction charger (IC). Therefore, the purpose of this work is to model the two main types of IC implementation, compare the results obtained, and develop a physical modeling model for the selected scheme.
MATERIALS. IC is based on the principle of magnetic induction, so the simulation was carried out for two options for implementing contactless charging, the frequency and value of the inductances of the coupled coils were calculated, and based on the results obtained, conclusions were drawn about the optimal distance at which the required efficiency value is maintained. For physical modeling of the process of non-contact charging of electric vehicles, a calibrator model has been developed, and ferrite plates have been calculated.
RESULTS. Based on the simulation, a scheme for the implementation of the IC with adjustable capacitor capacitance was chosen, the topologies of antennas and the geometry of ferrite plates and a design documentation of a 6-axis calibrator for testing were developed. R&D was carried out at the Federal State Budgetary Educational Institution of Higher Education "KSPEU".
CONCLUSION. The use of IC provides great opportunities for the development of mobile charging stations, as it increases the number of possible connections. However, efficiency and charging distance are critical for this equipment, therefore, already at the modeling stage, it is necessary to select the parameters of the coils as accurately as possible, and the circuit used. For the developed MCSEU, within the framework of Resolution 218, optimal solutions were identified in the field of modeling and testing of IC.

1. Safin AR, Ivshin IV, Tsvetkov AN, et.al. Development of technology of mobile charging stations for electric vehicles. Energy problems. 2021;23(5);100-114.

2. Shin Y, Park J, Kim H, et al. Design Considerations for Adding Series Inductors to Reduce Electromagnetic Field Interference in an Over-Coupled WPT System. Energies. 2021;14;2791.

3. Dai J, Ludois DC. Capacitive Power Transfer Through a Conformal Bumper for Electric Vehicle Charging. IEEE J Emerg Sel Top Power Electron. 2016;4;1015-1025.

4. Musavi F, Eberle W. Overview of wireless power transfer technologies for electric vehicle battery charging. IET Power Electron. 2014;7;60-66.

5. Y. Yang, M. El Baghdadi, U. Lan, Y. Benomar, J. Van Mierlo, and O. Hegazy, «Design methodology, modeling, and comparative study of wireless power transfer systems for electric vehicles» Energies. 2018;11(7):1716.

6. Younes Z, Alhamrouni I, Mekhilef S, et.al. A memory-based gravitational search algorithm for solving economic dispatch problem in micro-grid. Ain Shams Eng J. 2021;12;1985-1994.

7. Hussien AM, Hasanien HM, Mekhamer SF. Sunflower optimization algorithm-based optimal PI control for enhancing the performance of an autonomous operation of a microgrid. Ain Shams Eng J. 2021;12;1883-1893.

8. Godoy R, Maddalena E, Lima G, et.al. ‘Wireless charging system with a nonconventional compensation topology for electric vehicles and other applications. Eletrônica de Potência. 2016;21;1;42-51.

9. Baros D, Rigogiannis N, Drougas P, et.al. Transmitter side control of a wireless EV charger employing IoT. IEEE Access. 2020;8;227834–227846.

10. Safin AR, Ivshin IV, Tsvetkov AN, et.al. The study of the design features of mobile electric transport charge installations for the development of draft design documentation. Vestnik KSPEU. 2021;13;3(51);15-24.

11. Niculae D, Iordache M, Stanculescu M, et.al. A Review of Electric Vehicles Charging Technologies Stationary and Dynamic. 2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE). 2019;1-4.

12. Mehrjerdi H, Hemmati R. Stochastic model for electric vehicle charging station integrated with wind energy. Sustainable Energy Technologies and Assessments. 2020;37;157- 177.

13. Dobrovolskaya LA. Power transfer in a two-loop system for wireless charging of technical devices. The Scientific Heritage. 2020;44-1;44.

14. Danping Z, Juan L, Yuchun C, et.al. Research on Electric Energy Metering and Charging System for Dynamic Wireless Charging of Electric Vehicle. 2019 4th International Conference on Intelligent Transportation Engineering (ICITE). 2019;252-255.

15. Yuan R, Jiang Z, Yi Z, et.al. Research on electric energy metering key technology of electric vehicle wireless charging. Electrical Measurement & Instrumentation. 2018;55;11- 16.