基于中继MIMO MCR-WPT系统的同步互感估计

he coupling strength between the coils in the magnetic coupling resonance wireless power transfer(MCR-WPT) system is of vital importance to the energy transmission and distribution of the system. The coupling strength can be expressed by mutual inductance coefficient, but it is extremely difficult to obtain mutual inductance coefficient in practice. Especially for multi-coil systems with relays, the cross-coupling between the coils makes the system more complicated. To tackle this problem, this letter proposes a synchronous mutual inductance estimation algorithm based on least square for a MIMO MCR-WPT system with relays. The measured real-time voltage data are fitted with the least square algorithm to estimate the mutual inductance parameters. Compared with the traditional methods, proposed algorithm, which is based on mutual inductance circuit theory for modeling, gets rid of the limitation of fixed structure. More importantly, multiple mutual inductances in the system can be estimated at the same time without changing the link state. The simulation results show that the proposed algorithm has obvious performance advantages in accuracy, and can maintain stable output by increasing the amount of sampling data under the influence of error.