48V P0+P4混合动力传动系统的优化和原型尺寸

Matthias Werra, Axel Sturm, Ferit Küçükay
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引用次数: 4

摘要

本文提出了一个用于48V混合动力传动系统优化概念和原型尺寸的虚拟工具链。首先,该工具链用于确定48 V P0+P4混合动力车的传动系部件的尺寸,该混合动力车将内燃机皮带传动中的一台电机和后桥上的第二台电机结合在一起。在最佳概念层面上,48V系统中电气部件的功率和传动比是为实现最佳燃油消耗和性能而定义的。在第二步中,使用真实的基于规则的操作策略,用原型模型模拟最优P0+P4传动系,以确定法律周期和客户操作中的真实行为。最佳变体显示,与传统车辆相比,全球协调轻型试验循环的油耗降低了13.6%,而原型模拟显示出14.8%的相对较高的节约潜力。在客户操作的原型模拟中,48V混合动力传动系在城市地区由于大量的启动和制动事件而将燃料消耗降低了高达24.6%。由于车辆速度和功率要求更高,城市以外和高速公路区域的燃油消耗量分别减少了11.6%和4.2%。所提出的虚拟工具链可用于将最佳概念尺寸与接近现实的行为模拟相结合,以最大限度地提高现实陈述并最大限度地减少时间投入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal and prototype dimensioning of 48V P0+P4 hybrid drivetrains

This paper presents a virtual toolchain for the optimal concept and prototype dimensioning of 48 V hybrid drivetrains. First, this toolchain is used to dimension the drivetrain components for a 48 V P0+P4 hybrid which combines an electric machine in the belt drive of the internal combustion engine and a second electric machine at the rear axle. On an optimal concept level, the power and gear ratios of the electric components in the 48 V system are defined for the best fuel consumption and performance. In the second step, the optimal P0+P4 drivetrain is simulated with a prototype model using a realistic rule-based operating strategy to determine realistic behavior in legal cycles and customer operation. The optimal variant shows a fuel consumption reduction in the Worldwide harmonized Light Duty Test Cycle of 13.6 % compared to a conventional vehicle whereas the prototype simulation shows a relatively higher savings potential of 14.8 %. In the prototype simulation for customer operation, the 48 V hybrid drivetrain reduces the fuel consumption by up to 24.6 % in urban areas due to a high amount of launching and braking events. Extra-urban and highway areas show fuel reductions up to 11.6 % and 4.2 %, respectively due to higher vehicle speed and power requirements. The presented virtual toolchain can be used to combine optimal concept dimensioning with close to reality behaviour simulations to maximise realistic statements and minimize time effort.

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