Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

3Optimization Techniques Used in Active Magnetic Bearing System for Electric Vehicles

Suraj Gupta*, Pabitra Kumar Biswas^†, Sukanta Debnath and Jonathan Laldingliana

Department of Electrical and Electronics Engineering, National Institute of Technology Mizoram, Chaltlang, Aizawl, Mizoram, India

Abstract

Today pollution is a preeminent threat to the environment. The primary sources of pollution are combustion of liquid fuels in industries or, in transportation in which percentage of pollution is more from transportation. The harmful gases which emit from vehicles by combustion of liquid fuels can only be controlled if the type of the fuel is changed from petroleum produced fuels to electricity. The brilliant and efficient option for controlling pollution is use of electric vehicles (EVs) in place of the conventional one. In electric vehicles, Active magnetic bearing (AMB) is widely used, using which high speed with efficient performance, can be achieved. The major issue is from the control perspective as AMBs are highly nonlinear and unstable; the classical control approach alone cannot give efficient results. So, the artificial intelligence (AI) based control approaches like artificial neural network (ANN) based control, fuzzy logic control (FLC), particle swarm optimization (PSO) control, etc. along with the classical controller can increase the reliability and performance of the overall system. As the AMBs are used in most of the electric vehicle applications, their control ...