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Powertrain control parameter optimisation using HIL simulations of a heavy-duty vehicle

机译:使用重型车辆的HIL仿真进行动力总成控制参数优化

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This paper studies the potential fuel economy improvement that can be achieved by optimising powertrain control parameters without modifying its hardware. A real-time powertrain model was developed and implemented in Simulink. It consists of a simple diesel engine model, an automatic transmission (AT) model with a torque converter, a vehicle dynamic model, and an integrated controller for both the engine and transmission. In particular, a dynamic gearshift clutch model was developed for the AT gearbox. A hardware-in-the-loop (HIL) simulation environment was also established to simulate the developed real-time powertrain model, along with a simplified vehicle model under the federal test procedure (FTP), US06, and urban driving cycles. To evaluate the proposed control parameter optimisation process for a heavy-duty vehicle, the fuel consumptions of the FTP, US06, and urban driving cycles were used as the evaluation criterion, based upon different gear shifting control parameters and throttle slope angle. The HIL simulation results show that about 2% fuel economy can be gained by optimising the throttle slope angle; and simulation results also demonstrated that the optimised gearshift schedule provides the fuel economy improvement between 2.11% and 7.6% over the traditional gearshift schedule, where the most significant improvement was obtained for the urban driving cycle.
机译:本文研究了通过优化动力总成控制参数而无需修改其硬件即可实现的潜在燃油经济性改进。在Simulink中开发并实现了实时动力总成模型。它由一个简单的柴油发动机模型,一个带变矩器的自动变速器(AT)模型,一个车辆动力学模型以及一个用于发动机和变速器的集成控制器组成。特别是为AT变速箱开发了动态变速离合器模型。还建立了硬件在环(HIL)仿真环境,以仿真开发的实时动力总成模型以及联邦测试程序(FTP),US06和城市行驶周期下的简化车辆模型。为了评估建议的重型车辆控制参数优化过程,基于不同的换档控制参数和节气门倾斜角,将FTP,US06和城市驾驶循环的油耗用作评估标准。 HIL仿真结果表明,通过优化节气门倾斜角可获得约2%的燃油经济性。仿真结果还表明,优化的换挡计划比传统的换挡计划的燃油经济性提高了2.11%至7.6%,传统的换挡计划在城市驾驶循环中获得了最大的改善。

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