4.4 Article

Optimal load ratio control for dual-receiver dynamic wireless power transfer maintaining stable output voltage

期刊

IET POWER ELECTRONICS
卷 12, 期 10, 页码 2669-2677

出版社

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-pel.2018.6081

关键词

electric vehicles; hybrid electric vehicles; optimisation; inductive power transmission; voltage control; battery powered vehicles; secondary cells; optimal load ratio control strategy; power distribution; dual-receiver DWPT system; receivers; transmitter track; system efficiency; maximum efficiency improvement; single receiver method; dual-receiver dynamic wireless power transfer; stable output voltage; dynamic wireless power transfer system; power supply; electric vehicles; EVs; available charging time; driving range

资金

  1. National Key R&D Program of China [2017YFB1201002]
  2. National Natural Science Foundation of China [51677155]
  3. National Natural Science Foundation for Distinguished Young Scholars of China [51525702]
  4. Rail Transit Healthy Operation Cooperative Innovation Center of Zhuhai [55560307]

向作者/读者索取更多资源

Dynamic wireless power transfer (DWPT) system can provide a power supply for electric vehicles (EVs) in motion which can increase the available charging time, lessen the anxiety of driving range, and reduce the batteries in EVs. Aimed at optimising the system efficiency while regulating the output voltage, an optimal load ratio control strategy is proposed to optimise the power distribution of the dual-receiver DWPT system, and to reduce the losses of the system as the receivers move along the transmitter track. The control strategy is implemented in the receiver side without the mutual inductance detection and the communication with the transmitter side. With the proposed method, the efficiency of the DWPT system can be optimised while the output voltage of the system can be regulated simultaneously. An experimental prototype is set up to validate the proposed method. The system efficiency with proposed method reaches 90.8-91.9% during various conditions in the experiments. The maximum efficiency improvement is 2.5% compared with the efficiency of the single receiver method, and it increases to 2.6% compared to that of the current balancing method.

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