Title: Design of BLDC motor drive system using alternative controllers for performance evaluation in electric vehicle applications

Authors: Mohanraj Nandakumar

Addresses: School of Electrical and Electronics Engineering, SASTRA Deemed University, Thirumalaisamudram, Thanjavur, Tamil Nadu, 613401, India

Abstract: Electric vehicles have emerged as a promising and alternative means of transportation, replacing IC engine driven automobiles. One important feature to be incorporated in an electric automobile is regenerative braking for extending the operating range. This paper discusses automobile dynamics, covering road friction, aerodynamic forces, transmission systems and calculation of tractive force. The time dependant profile of the reflected torque and speed variables at the motor shaft are computed and used as reference data for an intelligent controller. A multi-loop control scheme has been developed, with gain parameters tuned based on two alternate algorithms viz., particle swarm optimisation technique and multiple neuron fuzzy inference system for comparison. The experimental part is a representation of profile based operation, which deals with the application of the PMBLDC motor based drive system for powering a passenger car and the evaluation of the system performance. Power regeneration is validated and recorded.

Keywords: BLDC motor; electric vehicle; MNFIS; multiple neuron fuzzy inference system; PSO; particle swarm optimisation.

DOI: 10.1504/IJVD.2024.136234

International Journal of Vehicle Design, 2024 Vol.94 No.1/2, pp.57 - 82

Received: 04 Feb 2021
Received in revised form: 06 Aug 2021
Accepted: 12 May 2022
Published online: 23 Jan 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article