Abstract
The available gearbox transmission ratios associated with gear shifting strategies influence the vehicle performance and fuel consumption because it changes the powertrain inertia and the engine operation point. However, the best configuration for the vehicle powertrain, according to a specific driving condition, is difficult to be determined. Therefore, this paper presents an Interactive Adaptive-Weight Genetic Algorithm to optimize the vehicle powertrain gear ratios and the gear shifting strategies to allow the vehicle to operate in the best compromise among fuel consumption and performance in the urban driving scenario provided by the FTP-72 cycle. The optimization process results in a fuel saving of 10.61% and 50.12% improvement in the vehicle performance when using the best-compromised configuration.
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Acknowledgements
This work was conducted during scholarships supported by the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), National Council for Scientific and Technological Development (CNPq), Federal University of Technology - ParanĂĄ (UTFPR) and the University of Campinas (UNICAMP).
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Eckert, J.J., CorrĂȘa, F.C., Bertoti, E., Yamashita, R.Y., Silva, L.C.A., Dedini, F.G. (2018). Powertrain Optimization to Improve Vehicle Performance and Fuel Consumption. In: Carvalho, J., Martins, D., Simoni, R., Simas, H. (eds) Multibody Mechatronic Systems. MuSMe 2017. Mechanisms and Machine Science, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-319-67567-1_49
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DOI: https://doi.org/10.1007/978-3-319-67567-1_49
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