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Application of fuzzy logic algorithm for optimization of control strategy in electric vehicles

Authors :
Peng Hemeng
Peng Qi
Huang Qingli
Wu Juan
Hu Jianyao
Source :
2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

Though new energy vehicles (NEV) has achieved rapid development in China, the energy efficiency optimization and performance improvement of electric car is still worth discussing. At present, the role of the optimization of control strategy in the drivetrain is escalating. In this study, the driving control strategy of a battery electric bus is presented. Applying a fuzzy logic control (FLC) algorithm, the output torque of electric machine is controlled and vehicle driving dynamics and acceleration performance are improved. The simulation results show that the control strategy would compensate the torque of electric machine so as to reduce the accelerating time of battery electric bus. From 0 to 50km/h accelerating condition, the proposed control strategy enables to reduce the accelerating time by 3.5%. The method proposed in this paper could be used and more practical experiments should be done for improvement in the future.

Details

Database :
OpenAIRE
Journal :
2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
Accession number :
edsair.doi...........9100982145083ee229abc74302907c5e