At present

it is necessary to solve complex quartic equations by analytical methods

numerical methods or approximation processing methods to obtain the optimal current references for loss minimization control (LMC) of interior permanent magnet synchronous motor (IPMSM)

but it will face the problems of complex solving process

large computational burden and increased solving error. Moreover

the existing methods do not take the inverter loss into consideration. Therefore

this paper proposes a model predictive LMC method for the IPMSM drive system

which does not need to solve the optimal current references and further reduces the switching loss. Firstly

the constraint relationship between dq-axis active currents for the LMC is utilized to construct the cost function. Secondly

the constraint term considering the switching order is constructed in the cost function for reducing the switching frequency. Then

through the current predictive model

the voltage vector that minimizes cost function is selected. Therefore

the proposed method can not only achieve LMC of the machine without solving the complex quartic equation but also reduce the switching of the inverter. The experimental results show that the proposed method has excellent loss reduction performance and dynamic performance.