Implementation of a fuzzy logic speed controller for electric vehicles on a 32-bit microcontroller

Maximizing the efficiency of an electric vehicle is one way to address the problem of vehicle range. The control technique used in this work is a slip frequency control. A maximum efficiency algorithm was derived specifically to address the range problems of electric vehicles. The type of controller chosen for the kernel of the slip frequency control scheme was a fuzzy logic controller. It was first tuned in the software simulation packages matlab and simulink, implemented in assembly language using Motorola´s knowledge base generator, and then transferred to the system microcontroller. The fuzzy logic controller was tested on a scaled laboratory electric vehicle drive train. The generation, tuning and implementation of the fuzzy logic controller will be the focus of this paper.