2004•Unpublished venueRequires access

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

S.S.M. Verma, Sheo Verma

Open publisher page 2 citations

Abstract

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.

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What this paper is about

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.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

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.

Key concepts: Fuzzy logic, Microcontroller, Computer science, Fuzzy electronics, Control engineering, Fuzzy control system, Controller (irrigation), Control theory (sociology)

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