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

在这个研究项目中，物流工程和电力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。技术耦合，变速多电机系统，用于内部物流运输，提供了一个显著的潜力，势能和制动能量的回收。在多电机系统中与中央储能系统合作的空间扩展直流电压联动是迄今为止尚未使用的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来控制物流系统。在建立能源需求预测模型的基础上，从物流系统的控制层面建立了能源优化运输的预测决策模型。将决策层优化模型（离散模型）与操作层优化模型（连续模型）耦合在一起，形成混合系统模型，从而为物流控制提供了一种新的求解质量。提出并验证了储能化合物中并联装置控制能级能量协调的概念。这项研究的结果是物流系统高效运行的预测方法，以及空间扩展直流电压互连与电力存储的尺寸分类。选定的结果在现有的测试平台上进行验证。预测能源和物料流控制的相互联系，降低电力负荷峰值，平衡外部能源供应，提高物流系统的能源效率。

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.