Abstract
Variable flux permanent magnet synchronous machine (VF-PMSM) traction drives are capable of significant loss reduction over an electrical vehicle drive cycle using dynamic magnetization state (MS) manipulation. A continuous, online MS estimation method is desirable for VF-PMSM drives to optimally utilize the loss minimization capability with precise MS control. This paper presents a MS estimation method that uses flux observers and a structured neural network (SNN) based machine model to achieve high accuracy with low sensitivity to load current and a fast dynamic response. The steady state performance of the proposed method in the presence of load current is evaluated experimentally in the current plane as well as in the torque-speed plane. The effect of magnet temperature on MS estimation accuracy is also evaluated experimentally. The transient performance of the proposed method during MS manipulation transients is evaluated using FE methods.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.