Component sizing and intelligent energy management of a heavy hybrid electric vehicle based on a real drive cycle

Abstract

In this paper, hybridizing a heavy vehicle is developed. A switcher locomotive is considered for hybridization. Due to their low operational speed, the switcher locomotives require much lower power when compared to other types of locomotives. Besides, switcher locomotives have higher loss of energy due to their frequent starting and stopping. Hybrid-powered transit vehicles are considered to be excellent replacements for ordinary transit vehicles, since hybrid powered vehicles are equipped with more than one traction power sources. Therefore, a switcher locomotive’s driving cycle is derived from the measured field data and used to calculate and design the hybrid vehicle’s components. A “fuzzy controller” is used to plan a suitable controller for the designed hybrid locomotive. Comparisons show a substantial decrease, both in the fuel consumption and the pollutions of the designed hybrid switcher locomotive versus the conventional diesel-electric locomotives.