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ACTIVE ENGINE VIBRATION CONTROL DURING START/STOP IN A HYBRID ELECTRIC VEHICLE

机译:混合动力车辆启动/停止期间的主动发动机振动控制

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Disturbances during engine starts and stops can propagate to the drive wheels with minimal damping in the power split hybrid transaxle due to the system architecture. One such disturbance is the engine cranking torque from pumping & compression during the motoring phase of engine starts and stops before fueling. This paper proposes a control system to compensate for the engine disturbance and reduce the magnitude of the disturbance on the driveline. A high fidelity model of the power split transaxle is developed and validated with test data for NVH analysis. A simple model of a four cylinder engine is developed that can run in real-time and accurately estimate the cranking torque disturbance from the engine. It is show that the engine speed in the power split transaxle is controlled via a generator speed feedback loop. Performing a linear system analysis reveals that the addition of a feedforward term in the loop which is based on the engine cranking torque can reduce the driveline disturbance. It is shown through simulation that the proposed engine model with the feedforward controller can reduce the engine disturbance on the driveline. The engine model and feedforward controller are finally implemented on the production control module of a test vehicle and it is shown that the proposed control strategy can reduce the driveline disturbance by as much a 65% during engine starts. Moreover, it shown that the engine model can run in realtime and correlates well with in-cylinder pressure data measured from the engine.
机译:由于系统架构的原因,在发动机启动和停止期间的扰动可能会在动力分配式混合动力驱动桥中以最小的阻尼传播到驱动轮。一种这样的扰动是在发动机驱动阶段在加油之前启动和停止期间来自泵送和压缩的发动机启动扭矩。本文提出了一种控制系统,以补偿发动机干扰并减小动力传动系统上的干扰幅度。开发了功率保真变速驱动桥的高保真模型,并通过用于NVH分析的测试数据进行了验证。开发了一种四缸发动机的简单模型,该模型可以实时运行并准确估算来自发动机的起动扭矩扰动。结果表明,动力分配驱动桥中的发动机转速是通过发电机转速反馈回路控制的。进行线性系统分析表明,在回路中基于发动机的起动转矩添加前馈项可以减少动力传动系统的干扰。通过仿真表明,所提出的带有前馈控制器的发动机模型可以减少对传动系统的发动机干扰。发动机模型和前馈控制器最终在测试车辆的生产控制模块上实现,结果表明,所提出的控制策略可以在发动机启动过程中将传动系干扰降低65%。而且,它表明发动机模型可以实时运行,并且与从发动机测得的缸内压力数据很好地相关。

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