From Theory to Practice: A Multidimensional Optimization Method for Improving the Charging Efficiency of Electric Vehicles

Authors

  • Shihan Yi

DOI:

https://doi.org/10.54097/ije.v3i3.007

Keywords:

Electric Vehicles, Dynamic Wireless Charging, Efficiency Optimization

Abstract

This paper focuses on the optimization of dynamic wireless charging technology for electric vehicles to address challenges such as long charging time and few charging locations. The research covers transmit and receive unit optimization, system and power management improvements, and the impact of environmental conditions on charging efficiency. In terms of the optimization of transmitting and receiving devices, the paper discusses the optimization of power, frequency and directivity to improve the energy transmission distance and efficiency. In terms of system and power management optimization, energy loss is reduced through methods such as magnetic disc structure improvement, and the importance of proper power management for battery life and charging safety is emphasized. In addition, the influence of environmental conditions (such as temperature, humidity, and distance) on charging efficiency is also elaborated. High temperature, high humidity and long distance may affect the system performance. The paper puts forward some countermeasures for these effects, such as heat dissipation design, humidity cancellation technology and signal processing technology. However, further field validation and technical, cost and standard issues need to be resolved to achieve commercial application of the technology.

Downloads

Download data is not yet available.

References

Zhang Z. (2022). Dynamic wireless charging technology for electric vehicles. China Science and Technology Information, (10),78-80.

Li W, Wang K, Hu P. (2019) Progress in analysis of key technologies for dynamic wireless charging of electric vehicles. Energy and Power Engineering, 201-208.

Fu Z, Wang C & Li D. (2020). Optimal design of transmitting coil in wireless charging system of automatic guided vehicle. Journal of Power Supplies, (02),172-179.

Chen D, Wang L, Liao C, Guo Y & Li F. (2015) Loss analysis and magnet structure optimization of wireless charging system. Transactions of China Electrotechnical Society, (S1),154-158.

Xu H, He P & Ai X. (2012). Review of research on electric vehicle charging power demand analysis model. Modern Electric Power, (03), 51-56.

Lv G, Sun Y, Hu W & Luo Z. (2022). Study on the influence of high and low temperature conditions on the efficiency of wireless charging system for electric vehicles. Environmental Technology, (S1),62-65+75.

Li Y, Li F, Zhou S, Ma X, Feng J & Huo X. (2023) Optimization of Wireless Charging System for Electric Vehicles with large transmission distance. Journal of Beijing University of Technology.

Downloads

Published

26-11-2023

Issue

Section

Articles

How to Cite

Yi, S. (2023). From Theory to Practice: A Multidimensional Optimization Method for Improving the Charging Efficiency of Electric Vehicles. International Journal of Energy, 3(3), 28-30. https://doi.org/10.54097/ije.v3i3.007