基于当前测量数据的驾驶优化

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI:10.1109/ITSC.2013.6728537

I. Nagy, E. Suzdaleva, T. Mlynarova

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引用次数: 1

摘要

本文研究了在保持推荐转速条件下的燃油消耗优化问题。所提出的方法是基于当前在驾驶车辆上测量的数据和外部观察。采用贝叶斯方法下的自适应最优控制算法，在燃油消耗最小化和保持推荐种子之间达成妥协。该研究是与斯柯达汽车(www.skoda-auto.com)合作进行的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimization of driving based on currently measured data

The paper deals with fuel consumption optimization under condition of keeping the recommended speed. The presented approach is based on data currently measured on a driven vehicle and on external observations. Using adaptive optimal control algorithms under Bayesian methodology, a compromise between fuel consumption minimization and keeping the recommended sceed is reached. Research is performed in collaboration with Skoda Auto (www.skoda-auto.com).

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16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

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