ICPT system analysis and maximum power tracking based on adaptive step P&O algorithm
            
                编号:244
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                                    更新:2021-12-03 10:52:00                浏览:850次
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                摘要
                The resonant model of the inductively coupled power transmission (ICPT) system is analyzed. In the case of the series compensation model on the secondary side, the configuration conditions of the constant output current model compensation network on the primary side are derived, which can be applied to all compensation modes. System efficiency is optimized by blocks. Moreover, the output power level is evaluated based on the maximum power output of the power supply and the reflection coefficient of the power input port. Finally, the adaptive step P&O algorithm (ASP&O) is introduced to realize that when the load changes, the system can be restored to the maximum power output state by adjusting the duty cycle of the DC/DC converter under resonance without establishing signal feedback from the primary side.
             
            
                关键词
                ASP&O,DC/DC converter,ICPT,maximum power tracking,resonance compensation
             
            
            
                    稿件作者
                    
                        
                                    
                                                                                                                        
                                    Zijia Zhang
                                    North China Electric Power University
                                
                                    
                                        
                                                                            
                                    Yansong Li
                                    North China Electric Power University
                                
                                    
                                                                                                                        
                                    Jun Liu
                                    North China Electric Power University
                                
                                             
                          
    
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