Predictive Energy Management for Recuperation Axles in Refrigerated Trailers

Dennis Bank, Simon F. G. Ehlers, Karl-Philipp Kortmann, Tobias Zeller, Patrick Cujic, Thomas Seel
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Abstract

Refrigerated truck trailers are currently mainly operated with environmentally harmful diesel units; an alternative is to operate the refrigeration unit with electrical energy. However, this requires a battery, the size of which can be reduced by using a recuperation axle, which recovers energy during braking. Current systems work purely reactively and often in so-called towing mode, in which a generator torque is provided without a braking request from the driver in order to secure the energy supply. However, this drag leads to additional consumption in the truck. This work quantifies the potential of predictive energy management that uses route and environmental data to minimize CO2 emissions. This was done using simulation data obtained with the help of VECTO. It was shown that there is still considerable potential for savings, so this paper provides an important basis for the later development of predictive energy management and, thus, for the electrification of refrigerated truck transports.
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冷藏拖车回收轴的预测性能源管理
目前,冷藏卡车拖车主要使用对环境有害的柴油机组;另一种替代方法是使用电能运行制冷机组。不过,这需要一个电池,而使用在制动时回收能量的回收轴可以减小电池的体积。目前的系统纯粹是被动工作,通常采用所谓的牵引模式,即在驾驶员没有提出制动要求的情况下提供发电机扭矩,以确保能源供应。然而,这种拖曳会导致卡车的额外消耗。这项工作量化了利用路线和环境数据进行预测性能源管理的潜力,以最大限度地减少二氧化碳排放。这项工作是利用在 VECTO 帮助下获得的模拟数据完成的。结果表明,仍有相当大的节约潜力,因此本文为以后开发预测性能源管理,进而实现冷藏卡车运输电气化奠定了重要基础。
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