Torque distribution strategy for integrated starter/ generator hybrid bus implemented by fuzzy algorithm

Abstract

A torque distribution strategy was designed by using fuzzy logic to realize the optimal control. The vehicle load zones were dynamically divided into several zones by several torque lines to indicate the drivers demand and the high or low efficient operating areas of the diesel engine. The fuzzy logic controller with trapezoid membership function and Mamdani rule reference mechanism was utilized. There are over 100 rules used in this fuzzy-based torque distribution strategy which are sorted into four rule-bases. The fuel economy and acceleration tests were designed to test and validate the integrated starter/generator (ISG) bus performance using fuzzy-based torque distribution strategy. The fuel economy is improved 7.7% compared with the rule-based strategy. Finally the road test results reveal that there is about 15% improvement of fuel economy. And the 0-50 km/h acceleration time is 9.5% shorter than the original bus.

Development of Integrated Starter-generator Test System Based on Virtual Instrument

“…As the energy resources shortage and environment protection have become the major challenge for the world, it is imperative to alter the energy and power system for vehicle industry, the electric vehicle has become the essential choice for such alteration [1]. Integrated starter-generator has been widely used in hybrid vehicles to reduce the engine idle fuel consumption by intelligent start-stop controlling, and to increase engine power and economy by auxiliary driving and energy recovering, so as to realize the reduction of exhaust gas pollution and fuel saving effect [2,3,4].…”