具有最大效率点跟踪的双向无线电力传输系统模型预测控制

2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2019-05-01 DOI:10.1109/PRECEDE.2019.8753203

Chen Qi, Zhengying Lang, Lijuan Su, Xiyou Chen, Han Miao

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引用次数: 9

摘要

针对电动汽车双向无线电力传输(BWPT)系统，提出了一种结合潮流控制和最大效率点跟踪的连续控制集模型预测控制(CCS-MPC)方法。该方法采用谐振电路模型来预测最优控制自由度。与常用的PI控制器相比，该方法具有更快的动态响应速度。与现有的CCS-MPC方法相比，该方法提高了系统效率。

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Model Predictive Control for a Bidirectional Wireless Power Transfer System With Maximum Efficiency Point Tracking

This paper proposed a novel continuous-control-set model predictive control (CCS-MPC) method with power flow control and maximum efficiency point tracking (MEPT) for a bidirectional wireless power transfer (BWPT) system in electric vehicle (EV) applications. The proposed method use a resonant circuit model to predict the optimal control degrees of freedom. In comparison with widely-used PI controller, the proposed method has a much faster dynamic response. In comparison with the existing CCS-MPC method, the proposed method has an increased system efficiency.

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来源期刊

2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)

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