Abstract This paper presents a multi-objective optimization aiming to improve vehicle fuel consumption, acceleration performance and mitigate emissions. The optimization considers design variables such as the gearbox gear ratios, the gear numbers, the differential gear ratio, tire size and gear shifting control of the automated manual transmission. The simulation model of the vehicle longitudinal dynamics was implemented in the Simulink™interface, with the addition of the ADVISOR™fuel converter block, which is used in several works as benchmark to emissions and fuel consumption simulation. Moreover, the optimization is conducted under three driving cycles, FTP-75 (urban driving), HWFET (highway) and the US06 (high acceleration and speed), aiming to ensure that the optimized drivetrain configuration is robust to different driving conditions. The optimization problem was solved by the Interactive Adaptive-Weight Genetic Algorithm (i-AWGA), reaching the best-compromised solution, which was able to enhance acceleration performance as compared to the standard vehicle configuration, saving 14.53% fuel and decreasing the emissions in 0.68% CO, 23.68% NOx and 2.45% HC.

中文翻译：

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车辆传动系统设计多目标优化

摘要 本文提出了一种多目标优化，旨在提高车辆油耗、加速性能和减少排放。优化考虑了设计变量，例如变速箱齿轮比、齿轮数、差速齿轮比、轮胎尺寸和自动手动变速器的换档控制。车辆纵向动力学的仿真模型在 Simulink™ 接口中实现，并添加了 ADVISOR™ 燃料转换器模块，该模块在多项工作中用作排放和燃料消耗仿真的基准。此外，优化在FTP-75（城市驾驶）、HWFET（高速公路）和US06（高加速和高速度）三个驾驶循环下进行，旨在确保优化的传动系统配置对不同的驾驶条件具有鲁棒性。