Research on Dynamic Optimization Algorithm of Electric Car Composite Energy Storage System Based on Model Predictive Control

Abstract

A strong hybrid vehicle control method may not only fulfill the vehicle's energy requirements, but also saves fuel and reduces pollutants effectively. This article proposes the creation of a hybrid electric vehicle model predictive control. For application of prediction models (MPC) based on the dynamic programming (DP) method, the solution procedure and usage of reference pathways are described. The composite energy storage system of electric vehicle is simulated by the specified operation status. The simulated results demonstrate that the designed algorithm may efficiently minimize energy consumption by appropriately distributing the torque of motors and engines, and check the efficiency of the control method.