Title: Controller optimisation under different drive cycles for induction motor driven electric vehicle fed through multilevel inverter

Authors: Paramjeet Singh Jamwal; Sanjeev Singh; Shailendra Jain

Addresses: Department of Electrical and Instrumentation Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, Sangrur, Punjab, India ' Department of Electrical Engineering, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India ' Department of Electrical and Instrumentation Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, Sangrur, Punjab, India

Abstract: Vector controlled induction motors (IMs) are used in electric vehicles (EVs) for effective speed control. The use of three-level inverter (3LI) offers the advantage of reduced switch stress along with lower total harmonic distortion in voltage (THDv) over two-level inverters. An indirect current vector control (ICVC) scheme has one proportional-integral (PI) controller for speed control of EV. The selection of controller coefficients affects the performance of complete drive. Therefore, this paper uses particle swarm optimisation technique for optimum selection of controller coefficients used for the control of CHB3LI fed IM drive. This drive is tested under CBD, COMMUTER, and EU driving cycles on three torque loadings through simulation in MATLAB Simulink and validated experimentally on a reduced scale laboratory setup. The obtained results are presented to demonstrate desired performance under all the driving cycles for optimised controller coefficients along with improved THDv and reduced losses in the IM.

Keywords: cascaded H-bridge; CHB; controller optimisation; driving cycle; electric vehicle; indirect current vector control; ICVC; induction motor drive; particle swarm optimisation; PSO; proportional-integral controller; three-level inverter; 3LI.

DOI: 10.1504/IJPELEC.2024.135700

International Journal of Power Electronics, 2024 Vol.19 No.1, pp.53 - 78

Received: 06 Aug 2022
Accepted: 22 Jan 2023
Published online: 23 Dec 2023 *