Title: Structural analysis of control design objectives for vehicular propulsion systems

Authors: V. Ngo; T. Hofman; M. Steinbuch; A. Serrarens

Addresses: Department of Mechanical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600MB, Eindhoven, The Netherlands ' Department of Mechanical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600MB, Eindhoven, The Netherlands ' Department of Mechanical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600MB, Eindhoven, The Netherlands ' Drivetrain Innovations B.V., Croy 46, 5653 LD Eindhoven, The Netherlands

Abstract: In the optimal control design for vehicular propulsion systems, the objective function describing the design objectives (fuel economy, driveability, comfort, emissions, battery operation, battery aging, etc.) plays an important role in defining the optimal solution. However, the definition of the objective function is not often analysed explicitly and thoroughly. In this study, a method of objectively analysing and evaluating the objective function is introduced. The method uses the singular value decomposition (SVD) technique to analyse the correlations among the design objectives and investigate their sensitivity to an optimal control algorithm. Accordingly, the dependent design objective(s) will be omitted such that the objective function can be simplified. This will reduce the complexity of the control design.

Keywords: powertrains; design objectives; hybrid electric vehicles; HEVs; conventional vehicles; gear shift strategy; optimal control; control objective; power reserve; fuel economy; driveability; singular value decomposition; SVD; hybrid vehicles; structural analysis; control design; vehicular propulsion systems; ride comfort; vehicle emissions; battery operation; battery aging.

DOI: 10.1504/IJPT.2015.067455

International Journal of Powertrains, 2015 Vol.4 No.1, pp.16 - 35

Accepted: 20 Feb 2014
Published online: 13 Feb 2015 *

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