Fuzzy Based Predictive Control for Optimal Energy Management in Hybrid Urban Buses

Abstract

In this article, a new fuzzy-based predictive control strategy for intelligent power management of a serial hybrid electric bus with a hybrid storage system that combines batteries and supercapacitors is proposed. The main contributions in this document are a fuzzy definition based predictive control for vehicle power management, along with a multi-objective optimization approach to define the size and operation of the ESS. To obtain the best performance in the genset, a methodology is proposed to optimize the operation point selection based on a speed-torque search in the electric generator and combustion engine maps. Based on simulation results, a reduction of 18.5% of the total cost was compared to a traditional rule-based control.