Optimal torque control of an integrated starter–generator using genetic algorithms. (June 2015)

• Record Type: Journal Article
• Authors: McGehee, Jeffery; Yoon, Hwan-Sik
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 229:Number 7(2015:Jul.)
• Page Start: 875
• Page End: 884
• Publication Date: 2015-06
• Subjects: Mild hybrid electric vehicle -- integrated starter-generator -- lookup-table-based control -- genetic algorithm -- optimal torque control; Mechanical engineering -- Congresses; Transportation engineering -- Congresses; 629.2
• DOI: 10.1177/0954407014548739
• Languages: English
• ISSNs: 0954-4070

Abstract

A mild hybrid electric vehicle is a type of hybrid electric vehicle with a simplified hybrid drivetrain mechanism. These mild hybrid electric vehicles use an integrated starter–generator to assist the internal-combustion engine simply rather than to drive the vehicle independently of the internal-combustion engine. In a previous study, a lookup- table-based control scheme was proposed for optimal control of the integrated starter–generator and the internal-combustion engine on a mild hybrid vehicle. In order to investigate further the optimality of the integrated starter–generator control lookup table, a widely used global optimization technique called a genetic algorithm is utilized in this study. The constructed optimal lookup tables are implemented in MATLAB/Simulink together with a mild hybrid vehicle model, which is based on an US Environmental Protection Agency light-duty vehicle model. The simulation results show that the genetic algorithm can construct an optimal lookup table with better performance characteristics than the weighted cost function method.