Open AccessLoad and mutual inductance estimation based on phase‐differences for electric vehicle wireless charging system
Author(s) -
Zhang Yuwang,
Guo Yanjie,
Zhu Qingwei,
Wang Lifang
Publication year - 2019
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2018.5194
Subject(s) - inductance , electric vehicle , wireless , estimation , three phase , phase (matter) , computer science , automotive engineering , electrical engineering , engineering , telecommunications , voltage , physics , power (physics) , systems engineering , quantum mechanics
In this study, a new method to estimate the load and mutual inductance for a wireless charging system (WCS) is presented. Instead of simultaneously using the root mean square and phase angles of related voltages and currents, accurate estimations can be obtained through the phase differences in the primary side. Firstly, the WCS model with dual‐side inductor–capacitor–capacitor compensation networks is established, and the reflected impedance is analysed based on the phase differences in the primary side. Then, the estimation calculation of load and mutual inductance is derived according to the reflected impedance. Meanwhile, the output voltage estimation in the primary side is realised based on the estimated values of the load and mutual inductance. Finally, experiments are conducted to verify the effectiveness of the proposed method in the 3.3 kW electric vehicle wireless charging experiment platform. Experimental results show that the estimation errors of the load and mutual inductance are <5 and 3.5%, respectively, and the system output voltage can be effectively estimated based on their estimated results.