@inproceedings{e762c299f47a47b4b599be596b0e2a6f,
title = "A fuzzy logic based control algorithm for EV suspension systems",
abstract = "This paper proposes a new semi-active suspension system to improve the ride comfort suitable for electric vehicles (EVs). A half car model based on air suspension system is introduced with different control strategies for the front and rear suspensions respectively. A fuzzy control strategy is implemented on the front wheel which will be used as the reference model for the rear wheel. A neural network (NN) controller integrated with neural network identification will be utilized to control the rear suspension. A numerical simulation based on MATLAB shows the advantages of attenuating the vibrations by the proposed control strategy.",
keywords = "Control system, Electric vehicle, Modelling, Simulation, Vehicle performance",
author = "Shaojia Huang and Ching, {T. W.} and Wenlong Li and Luwei Zeng and Chau, {K. T.} and Chan, {C. C.}",
year = "2016",
language = "English",
series = "EVS 2016 - 29th International Electric Vehicle Symposium",
publisher = "Electric Vehicle Symposium and Exhibition",
booktitle = "EVS 2016 � 29th International Electric Vehicle Symposium",
note = "29th World Electric Vehicle Symposium and Exhibition, EVS 2016 ; Conference date: 19-06-2016 Through 22-06-2016",
}