Back to Search
Start Over
Application of fuzzy logic algorithm for optimization of control strategy in electric vehicles
- 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.
- Subjects :
- Electric machine
Battery (electricity)
business.product_category
Computer science
Drivetrain
020206 networking & telecommunications
02 engineering and technology
Fuzzy logic
Automotive engineering
Acceleration
0202 electrical engineering, electronic engineering, information engineering
Torque
020201 artificial intelligence & image processing
Performance improvement
business
Simulation
Efficient energy use
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
- Accession number :
- edsair.doi...........9100982145083ee229abc74302907c5e