Title: Multi-objective optimization for automotive performance

Authors: Dong Song, Mohamed El-Sayed

Addresses: GMI Engineering & Management Institute, Flint, MI, USA. GMI Engineering & Management Institute, Flint, MI, USA

Abstract: A multi-objective optimisation procedure has been developed to optimise the vehicle longitudinal acceleration time, steady-state fuel economy, ride quality and steering stability. A 5-speed manual transmission vehicle, with the engine at wide-open throttle, was adopted for the prediction of the 0–60 mph acceleration time. A simplified fuel economy model was used to simulate the fuel consumption under steady vehicle speed. The optimisation algorithm selected is the Modified Method of Feasible Directions due to its high reliability and efficiency. A notable feature of the optimisation process adopted is that the algorithm can compromise between the competing performances while meeting the requirements for the handling quality of the vehicle. The optimisation programme, which is coded with FORTRAN 77, is capable of optimising the design parameters, such as, transmission gear ratios, tyre radius, driving axle ratio, vehicle weight, wheel base and position of the centre of gravity. The programme is verified by typical vehicle data.

Keywords: optimisation; multi-objective; automotive performance; vehicle design; vehicle dynamics.

DOI: 10.1504/IJVD.2002.002039

International Journal of Vehicle Design, 2002 Vol.30 No.4, pp.291-308

Published online: 15 Aug 2003 *

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