MRAS Based Sensorless PMSM Drive With Regenerative Braking For Solar PV-Battery Powered EV

This paper presents an efficient sensorless permanent magnet synchronous motor (PMSM) drive based on model reference adaptive system (MRAS) speed and position estimation for solar photovoltaic (PV)- battery power driven electric vehicle (EV). The aim of this work is to include a technique that encourages renewable energy applications. This work involves regenerative braking to increase the range of EV. The kinetic energy of the vehicle is recovered during braking conditions and utilized to charge the battery as well as to avoid deep discharge of the battery during the uphill driving condition. In order to reduce cost, weight, and increase robustness of the drive, MRAS based sensorless control is used for speed and position estimation. In this method, a current adaptable model is analyzed in which, PMSM itself acts as a reference model. A solar PV array integrated with a battery provides a seamless and continuing operation independent of environmental conditions. A Cuk DC-DC converter is utilized for maximum power point tracking (MPPT), which ensures continuous input and output currents. This system is efficient, cost-effective, and suits for practical implementation. A study of the PMSM control and the effectiveness of the drive system simulated using MATLAB simulink is presented in this paper.