Predictive decision models for efficient energy usage in intralogistics by means of a DC voltage link

通过直流电压链路实现内部物流高效能源利用的预测决策模型

• 批准号: 430149671
• 负责人: Professor Dr.-Ing. Wilfried Hofmann
• 金额: --
• 依托单位: Professur für Technische Logistik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2020
• 资助国家: 德国
• 起止时间: 2019-12-31 至 2023-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/430149671?language=en
• 关键词: Predictive; decision; models; efficient; energy

Within this research project, the competences in logistics engineering and electrical drive technology create an overall concept for increasing energy efficiency and energy supply safety in intralogistics systems. Technologically coupled, variable speed multi-motor systems, as used in intralogistics for transporting, offer a notable potential for the recovery of potential energy and brake energy. A spatially extended DC voltage linkage in multi-motor systems in cooperation with central energy storage systems is a not hitherto used approach for the comprehensive lifting of these reserves. The efficient use of such a system requires new solutions for the control of the logistics system.Based on the development of prediction models for energy demand, predictive decision models for energy-optimal transport are developed at the control levels of the logistics system. The coupling of the optimization models of the dispositive level (discrete models) and the operative level (continuous models) leads to a hybrid system model and results in a new solution quality in material flow control. A concept for the energetic coordination of the control levels for parallel devices in an energy storage compound is developed and tested.The outcome of this research is a predictive method for the efficient operation of logistics systems as well as a taxonomy for the dimensioning of a spatially extended DC voltage interconnection with electrical storage. Selected results are verified on existing test rigs. The interlinking of predictive energy and material flow control, reduces electrical load peaks, equalizes external energy supply and increases energy-efficiency of the logistics systems.

在该研究项目中，物流工程和电气驱动技术的能力为提高内部物流系统的能源效率和能源供应安全创造了一个整体概念。技术上耦合的变速多电机系统，如用于运输的内部物流，为势能和制动能量的回收提供了显着的潜力。在多电机系统中与中央能量存储系统合作的空间扩展的DC电压连接是迄今为止尚未用于全面提升这些储备的方法。有效地利用这样一个系统需要新的解决方案的物流系统的控制。基于能源需求的预测模型的发展，预测决策模型的能源优化运输的物流系统的控制水平。配置级（离散模型）和操作级（连续模型）的优化模型的耦合导致混合系统模型，并导致在一个新的解决方案质量的物质流控制。开发和测试了一种用于能量存储化合物中并联设备的控制水平的能量协调的概念，该研究的结果是物流系统的有效运行的预测方法以及用于空间扩展的DC电压互连与电storage的尺寸的分类。选定的结果在现有的测试台上进行了验证。预测性能源和物流控制的相互联系减少了电力负荷峰值，均衡了外部能源供应，提高了物流系统的能源效率。