A review of fuzzy methods in automotive engineering applications

European Transport Research Review

Original Paper

Valentin Ivanov¹ 

[1] Automotive Engineering Group, Ilmenau University of Technology, Ehrenbergstr. 15, 98693, Ilmenau, Germany;

关键词: Fuzzy systems;    Road vehicles;    Automotive control systems;    Vehicle dynamics control;    Electric vehicles;   

DOI  :  10.1007/s12544-015-0179-z

 received in 2014-10-26, accepted in 2015-08-18,  发布年份 2015

来源: Springer

【 摘 要 】

PurposeThe paper addresses evolution of fuzzy systems for core applications of automotive engineering.MethodsThe presented study is based on the analysis of bibliography dedicated to fuzzy sets and fuzzy control for ground vehicles. A special attention is given to fuzzy approaches used in the following domains of automotive engineering: vehicle dynamics control systems, driver and driving environment identification, ride comfort control, and energy management of electric vehicles.ResultsThe bibliographical analysis, supplemented with statistics of relevant research publications, has allowed to allocate the most important fuzzy application cases for each domain. In particular, it concerns driver identification, human-machine interface, recognition of road conditions, and controllers of vehicle chassis and powertrain systems. It is found out that fuzzy methods have the primary use most of all for tasks requiring identification and forecasting procedures, especially in conditions of limited informational space. Additional observation that can be also derived from the presented survey points to reasonable integration of fuzzy technique with other control engineering methods to improve the performance of automotive control systems.ConclusionsIn the aggregate the performed review indicates that fuzzy computing can be considered as a versatile tool for automotive engineering applications of different nature.

【 授权许可】

CC BY   
© The Author(s) 2015