Title :
Design of a fuzzy logic controller for ABS of Electric Vehicle based on AMESim and Simulink
Author :
Lin, Hui ; Song, Chuanxue
Author_Institution :
State Key Lab. of Automotive Dynamic Simulation, Jilin Univ., Changchun, China
Abstract :
A fuzzy logic control method of ABS control for EV with electric brake is proposed. It is used to control the acceleration and deceleration of the wheel. The simulation model was established by AMESim and Simulink. The co-simulation model simulates the EV braking performance on low adhesion road. Simulation result shows that the fuzzy logic ABS controller can effectively improve the EV´s braking stability and performance. Model parameters can be adjusted, so research on different parameters on the effect of ABS can be carried on, and the simulation model can be used as a well platform for ABS study on EV.
Keywords :
acceleration control; braking; digital simulation; electric vehicles; fuzzy control; parameter estimation; stability; ABS control; AMESim; EV braking performance; Simulink; antilock braking system; braking performance; braking stability; cosimulation model; electric brake; electric vehicle; fuzzy logic controller design; low adhesion road; model parameter adjustment; simulation model; wheel acceleration control; wheel deceleration control; Acceleration; Atmospheric modeling; Fuzzy logic; Roads; Vehicle dynamics; Vehicles; Wheels; ABS; fuzzy logic control; slip rate;
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
DOI :
10.1109/TMEE.2011.6199318
