Modeling of Autonomous EV Vector-Controlled Power Conversion System for Battery Management System Design

Abstract

Since the energy consumption of electric drivetrains can be optimized in an automatically controlled system, the driving ranges and efficiency of driverless electric cars can be enhanced. The analysis of a model of the electric power conversion system provides the opportunity to consider different driving circumstances, moreover, it is possible to evaluate the performance of a power conversion system when the vehicle is driven along different routes. The results provide detailed information on the transient operation of all the power modules as well as their components, and on the overall performance of the power conversion system. In this study, a permanent-magnet synchronous machine (PMSM) acts as the traction motor in the autonomously driven electric car. Besides the PMSM, the power electronics and battery are also modeled in an OrCAD PSpice circuit-simulation environment that serves as a model of an electric power conversion system for the simulation and testing of a battery management system algorithm. The battery management system and control algorithm are modeled in Simulink and can be tested together with the PSpice-modeled circuits utilizing an interconnected simulation environment. The input of the power conversion system model was a driving scenario that included uphill and downhill sections. The performance of the implemented battery management system algorithm was analyzed and evaluated.