Power Supply Management for an Electric Vehicle Using Fuzzy Logic. (5th November 2018)

• Record Type: Journal Article
• Authors: Pérez-Pimentel, Yolanda; Osuna-Galán, Ismael; Avilés-Cruz, Carlos; Villegas-Cortez, Juan
• Other Names: Dawson Christian W. Academic Editor.
• Is Part Of: Applied computational intelligence and soft computing. Volume 2018(2018)
• Publication Date: 2018-11-05
• Subjects: Computational intelligence -- Periodicals; Soft computing -- Periodicals; 006.305
• DOI: 10.1155/2018/2846748
• Languages: English
• ISSNs: 1687-9724

Abstract

Abstract : The technology of power electronic systems has diversified into industrial, commercial, and residential areas. Developing a strategy to improve the performance of the electrical energy of an electric vehicle (EV) requires an analysis of the model that describes it. EVs are complex mechatronic systems described by nonlinear models and, therefore, its study is not an easy task. It can improve the performance of a battery bank by creating new batteries that allow for greater storage or by developing a management energy system. This article shows the development of a power supply management system based on fuzzy logic for an electric vehicle, in order to minimize the total energy consumption and optimize the battery bank. The experimental result is shown using the fuzzy controller under standard operating conditions. An increase in battery performance and overall performance of energy consumption is shown. Speed signals acquired show improvements in some dynamic, such as overshoot, settling time, and steady-state error parameters. It is shown that this fuzzy controller increases the overall energy efficiency of the vehicle.