DocumentCode :
2345286
Title :
Intelligent controller for electric vehicle
Author :
Shivkumar, Poorani
Author_Institution :
Sona Coll. of Technol., Salem
fYear :
2008
fDate :
24-27 Nov. 2008
Firstpage :
978
Lastpage :
983
Abstract :
This paper presents a novel approach with a rule based acceleration control strategy for electric vehicles. This proposal has a straight forward goal for minimizing the complexities of the existing controllers used in the vehicles. The use of fuzzy logic enables the heuristic rule based technique to be used as an efficient solution. The fuzzy logic controller designed here is a combination of fuzzy decision maker and fuzzy speed controller for the separately excited DC motor. The fuzzy decision maker is designed in such a way that it takes into account the batterypsilas state of charge, speed of the vehicle, type of terrain, road load, brake, acceleration, ultra capacitor state of charge, and operational gear as input parameters which gives the reference speed to the fuzzy speed controller according to the scenarios in Indian road conditions. simulation results would specify the performance of the new proposed fuzzy controller. This controller has also been implemented in the embedded chip, field programmable gate Array (FPGA).
Keywords :
acceleration control; control system synthesis; electric vehicles; fuzzy control; intelligent control; velocity control; controller design; electric vehicle; embedded chip; field programmable gate array; fuzzy logic control; fuzzy speed controller; heuristic rule based technique; intelligent controller; rule based acceleration control strategy; Acceleration; Battery powered vehicles; DC motors; Electric vehicles; Field programmable gate arrays; Fuzzy control; Fuzzy logic; Intelligent vehicles; Proposals; Roads; Driver speed command; Driving conditions; Electric Vehicle; Fuzzy logic controller; Gear; State of charge; Terrain; Ultra capacitor state of charge; driver brake command; load;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1887-9
Electronic_ISBN :
978-1-4244-1888-6
Type :
conf
DOI :
10.1109/ICSET.2008.4747149
Filename :
4747149
Link To Document :
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