scholarly journals Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2842
Author(s):  
Adel El-Shahat ◽  
Erhuvwu Ayisire

Dynamic wireless power systems are an effective way to supply electric vehicles (EVs) with the required power while moving and to overcome the problems of low mileage and extensive charging times. This paper targets modeling and control for future dynamic wireless charging using magnetic resonance coupling because of the latter’s efficiency. We present a 3D model of transmitter and receiver coils for EV charging with magnetic resonance wireless power developed using ANSYS Maxwell. This model was incorporated into the physical design of the magnetic resonance coupling using ANSYS Simplorer in order to optimize the power. The estimated efficiency was around 92.1%. The transient analysis of the proposed circuit was investigated. A closed-loop three-level cascaded PI controller- was utilized for wireless charging of an EV battery. The controller was designed to eliminate the voltage variation resulting from the variation in the space existing between coils. A single-level PI controller was used to benchmark the proposed system’s performance. Furthermore, solar-powered wireless power transfer with a maximum power point tracker was used to simulate the wireless charging of an electric vehicle. The simulation results indicated that the EV battery could be charged with a regulated power of 12 V and 5 A through wireless power transfer. Fuzzy logic and neuro-fuzzy controllers were employed for more robustness in the performance of the output. The neuro-fuzzy controller showed the best performance in comparison with the other designs. All the proposed systems were checked and validated using the OPAL Real-Time simulator. The stability analysis of the DC–DC converter inside the closed-loop system was investigated.

2011 ◽  
Vol 308-310 ◽  
pp. 1000-1003 ◽  
Author(s):  
Hao Qiang ◽  
Xue Liang Huang ◽  
Lin Lin Tan ◽  
Hui Huang

Wireless power transfer (WPT) is required for the diffusion of Electric Vehicle (EV) because it makes possible the process of automatically charging EV. Magnetic resonance coupling is a new technology for WPT, which can transfer a large amount of energy with high efficiency in middle distance. In this paper the topology design of WPT for EV by using this technology is investigated. Through theoretical analysis we obtain expressions of optimal efficiency with different topologies based on equivalent circuits and define a condition criterion, which is related with load resistance, transmission distance, resonance frequency and coil size. According to the condition criterion we can design the appropriate topology easily to guarantee optimal transmission efficiency. Finally, simulations and experiments show that the defined condition criterion has high sensitivity and the proposed method of designing topology is effective and feasible.


2016 ◽  
Vol 197 (1) ◽  
pp. 46-54 ◽  
Author(s):  
KOHEI SHIMAMURA ◽  
MASAYOSHI KOIZUMI ◽  
YOSHIHIRO MIZUNO ◽  
KIMIYA KOMURASAKI

Author(s):  
Chengbin Ma ◽  
Minfan Fu ◽  
Xinen Zhu

In this paper, the technologies for electric vehicle wireless charging are reviewed including the inductive coupling, magnetic resonance coupling and microwave. Among them, the magnetic resonance coupling is promising for vehicle charging mainly due to its high efficiency and relatively long transfer range. The design and configuration of the magnetic resonance coupling based wireless charging system are introduced. A basic experimental setup and a prototype electric vehicle wireless charging system are developed for experimental and research purposes. Especially the prototype system well demonstrates the idea of fast and frequent wireless charging of supercapacitor electric vehicles using magnetic resonance coupling. Though the idea of wireless energy transfer looks sophisticated, it is proved to be a handy technology from the work described in the paper. However, both component and system-level optimization are still very challenging. Intensive investigations and research are expected in this aspect.


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