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MPC based Fan Control for Automotive Applications * * This work was supported in part by COMET K2 - Competence Centres for Excellent Technologies Programme.

机译:基于MPC的汽车应用风扇控制 * * 此工作部分由COMET K2-优秀技术能力中心计划提供支持。

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摘要

A major drawback of pure electrical vehicles is their low range compared to conventional cars. The present work focuses on increasing cruising range of electric vehicles by reducing the power consumption for e-motor and power electronics cooling. Standard implementations for cooling circuit control which are taken over from conventional cars with internal combustion engine usually involve a temperature based bang-bang control. This implementations are simple to implement but lead to oscillating temperatures. To meet hard temperature constraints usually safety offsets have to be introduced leading to increased cooling ventilation which results in significantly higher power consumption mainly caused by the cooling package fan. The proposed approach aims to enhance control performance in order to significantly reduce temperature safety margins in reference values resulting in a more efficient cooling and a lower power consumption. The approach involves a separation of the plant model into a linear and a nonlinear part, which is then advantageously used for control. The proposed control approach consists of a standard linear observer plus a linear model predictive control. Nonlinearities caused by the radiator are addressed separately. A possible real-time execution on standard automotive hardware is also addressed. Results are shown on simulation examples, as well as on first testbed experiments.
机译:纯电动汽车的主要缺点是与传统汽车相比,其行驶里程较低。目前的工作集中在通过减少电动马达和电力电子设备冷却的功耗来增加电动汽车的续航里程。从具有内燃机的常规汽车中接管的用于冷却回路控制的标准实现通常涉及基于温度的爆炸控制。这种实现方式易于实现,但会导致温度波动。为了满足严格的温度限制,通常必须引入安全补偿,从而导致增加的冷却通风量,从而导致功耗显着提高,这主要是由冷却套件风扇引起的。提出的方法旨在增强控制性能,以显着降低参考值中的温度安全裕度,从而实现更高效的冷却和更低的功耗。该方法涉及将工厂模型分离为线性和非线性部分,然后将其有利地用于控制。所提出的控制方法包括一个标准的线性观测器和一个线性模型预测控制。辐射器引起的非线性分别解决。还讨论了在标准汽车硬件上可能的实时执行。结果显示在模拟示例以及第一个测试平台实验中。

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