Abstract
In the early stage of development of a vehicle, the design of the power train is encouraged by numerical simulations. Virtual testing of different variants and configurations of a car can be well-investigated without constructing any prototype. The mathematical models used to calculate the fuel consumption and driving power differ. Therefore, there exist different program packages to calculate these qualifying criteria of a vehicle. A standard interface between these packages and the optimization program has to be developed. Different, partly antagonistic objective functions are presented to optimize the design of the power train. The most important of the criteria are driving power and fuel consumption. The aim of development of new vehicles is to reduce the fuel consumption without loss of driving power. To fulfil these requirements it is not enough to investigate on each part of the power train separately. It is more efficient to optimize the whole system, using a mathematical model of the power train. The aim of the investigations is to find optimal characteristics of the torque converter, automatic gear transmissions, and the transmission of the rear axle differential, using mathematical methods for systematic optimization. In this paper methods are developed which can be used to optimize both model parameters and whole characteristics. The investigations are split up into the topics: mathematical description of objective functions, appropriate parameterization of characteristics, sensitivity analyses of the objective function. Some results are presented
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References
Achtziger, W., Zowe, J. (1996) Nichtglatte Optimierung. Vorlesungsskript, Institut f. Angewandte Mathematik, Friedrich-Alexander-Universität Erlangen-Nürnberg
Andritzky, B. (1996) Verifikation und Erweiterung des konfigurierbaren Berechnungskerns zur Simulation der Längsdynamik und zur Antriebsstrangauslegung von PKW mit Automatikgetrieben, Diplomarbeit, Technische Universität München, Lehrstuhl B für Mechanik
Choi, T., Gilmore, P., Eslinger, O. J., Keller, C., Patrick, A., Gablonsky, J. (1999) IFFCO, Implicit Filtering for Constrained Optimization, Version 2, Techn. Rep., Center for Research in Scientific Computation, North Carolina State University, Raleigh
Choi, T., Kelley, C. (1999) Superlinear Convergence and Implicit Filtering, Techn. Rep. CRSC-TR99–14, Center for Research in Scientific Computation, North Carolina State University, Raleigh. To appear in SIAM J. on Optimization
Cohn, H., Fielding, M. (1999) Simulated Annealing: Searching for an optimal Temperature Schedule, SIAM J. Optimization
Gill, P. E., Murray, W., Wright, M. H. (1981) Practical Optimization, Academic Press, Inc., San Diego, CA. Tscharnuter
Gilmore, P. (1993) IFFCO, Implicit Filtering for Constrained Optimization, Techn. Rep. CRSC-TR93–7, Center for Research in Scientific Computation, North Carolina State University, Raleigh
Gilmore, P., Kelley, C. (1995) An implicit filtering algorithm for optimization of functions with many local minima, SIAM J. Optimization 5
Hülsmann, W. (1995) Entwicklung eines konfigurierbaren Berechnungskerns zur Simulation der Fahrzeuglängsdynamik und Antriebsstrangauslegung, Diplomarbeit, Technische Universität München, Lehrstuhl B für Mechanik
Ingber, L. (1989) Very fast simulated re-annealing, Mathl. Comput. Modelling 12
Ingber, L., Rosen, B. (1992) Genetic algorithms and very fast simulated reannealing: A comparison, Mathematical and Computer Modelling 16
Mitschke, M. (1995) Dynamik der Kraftfahrzeuge Band A: Antrieb und Bremsung, Springer, 3. Auflage
Mitschke, M. (1990) Dynamik der Kraftfahrzeuge Band C: Fahrverhalten, Springer, 2. Auflage
Papageorgiou, M. (1996) Optimierung: Statische, dynamische und stochastische Verfahren für die Anwendung, R. Oldenbourg Verlag München Wien, 2. Auflage
Lewis, R. M., Torczon, V. (1999) Pattern Search Algorithm for Bound Constrained Minimization, SIAM J. Optimization 9
Torczon, V. (1991) On the Convergence of the Multidirectional Search Algorithm, SIAM J. Optimization 1
Torczon, V. (1997) On the Convergence of Pattern Search Algorithms, SIAM J. Optimization 7
Tscharnuter, D. (2000) Optimale Auslegung des Antriebsstrangs von Kraftfahrzeugen — Modellbildung, Simulation und Optimierung, Dissertation, Technische Universität München, Zentrum Mathematik. To be published
Wah, B. W. and Chen, Y. X. (2000) Optimal Anytime Constrained Simulated Annealing for Constrained Global Optimization, Proc. 6th Int. Conf. on Principles and Practice of Constraint Prop., Springer-Verlag
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Tscharnuter, D. (2002). Optimal Design of the Power Train of Vehicles: Modelling, Simulation and Optimization. In: Breuer, M., Durst, F., Zenger, C. (eds) High Performance Scientific And Engineering Computing. Lecture Notes in Computational Science and Engineering, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55919-8_35
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DOI: https://doi.org/10.1007/978-3-642-55919-8_35
Publisher Name: Springer, Berlin, Heidelberg
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