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Modeling and Decoupled Control of Inductive Power Transfer to Implement Constant Current/Voltage Charging and ZVS Operating for Electric Vehicles

journal contribution
posted on 2024-11-02, 10:20 authored by Cheng Chen, Hong Zhou, Qijun Deng, Wenshan Hu, Yanjuan Yu, Xiaoqing Lu, Jingang Lai
To prevent the degradation of battery life and reduce switching loss in inductive power transfer (IPT) systems for electric vehicles (EVs), it is vital to realize constant current/voltage (CC/CV) charging and zero-voltage-switching (ZVS) operation. However, due to the existence of couplings between the charging and ZVS operating control loops, the controllers are neither optimal nor robust. In this paper, a model-based decoupled control method is proposed to improve the performance of the charging and ZVS operating controllers. Since the operating point of the CC and CV modes are different, two dynamic models for the corresponding charging modes are built and linearized. Besides, the couplings between the charging and ZVS operating control loops are analyzed, and in turn, decoupled by designing compensators. To optimize the system performance, we chose PI controllers, and their parameters are obtained by calculating the settling time and overshoot of the close-loop dominant poles according to the control performance requirements. In the experiment, a 500-W series-series IPT system prototype is built and tested to verify the improvement of the control performance. Compared with the coupled control method and the traditional closed-loop control feedback method, the recorded response curves and transient waveforms demonstrate that the proposed decoupled control method brings a better performance to the system.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/ACCESS.2018.2875413
  2. 2.
    ISSN - Is published in 21693536

Journal

IEEE Access

Volume

6

Number

8489860

Start page

59917

End page

59928

Total pages

12

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Place published

United States

Language

English

Copyright

© 2018 IEEE.

Former Identifier

2006090585

Esploro creation date

2023-12-03

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