Automotive Air Conditioning: Optimization, Control and by Quansheng Zhang, Shengbo Eben Li, Kun Deng

By Quansheng Zhang, Shengbo Eben Li, Kun Deng

This publication provides examine advances in automobile AC structures utilizing an interdisciplinary strategy combining either thermal technology, and car engineering. It covers numerous themes, comparable to: keep an eye on concepts, optimization algorithms, and analysis schemes built for while automobile air structures engage with powertrain dynamics. not like the quick advances within the fields of establishing HVAC and automobile individually, an interdisciplinary exam of either components has lengthy been missed. The content material offered during this e-book not just unearths possibilities while interplay among on-board HVAC and powertrain is taken into account, but additionally presents new findings to accomplish functionality development utilizing model-based methodologies.

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26) where TO i is called the lifted temperature for the node i. i/ Cj and VN 0 D V0 . i/. i/ for each node i. 1), and the outside temperature is denoted as TnC1 . m C 1/th node in the reduced-order model and we denote its temperature as TN mC1 . m C 1/th super-node. T; U; Q/=CN k . k/ N k. T s U PN . //=CN . / e k . 29) where X N k . / WD U i2 X PN . k/ i2 P i; Q X e k . t/ denotes the outside temperature. 32) described later. N / and Since U and Q are external inputs to the full-order model, we can also take U.

Meyn, Building thermal model reduction via aggregation of states, in Proceedings of American Control Conference, Baltimore, MD, Jun 2010, pp. 5118–5123 11. E. Braun, N. Chaturvedi, An inverse gray-box model for transient building load prediction. HVAC&R Res. 8(1), 73–99 (2002) 12. R. Romijn, L. Ozkan, S. Weiland, J. Ludlage, W. Marquardt, A grey-box modeling approach for the reduction of nonlinear systems. J. Process Control 18, 906–914 (2008) 13. F. Alghimlas, Building load simulation and validation of an office building, in Second International Conference for Enhanced Building Operations, October 2002 14.

Number of partitions K. Deng et al. 5 0 2 7 12 17 m 22 27 32 37 The recursive bi-partition algorithm is used to find sub-optimal partitions of the building graph based on the analysis of the linear thermal dynamics. The first iteration of the algorithm divides the node set into two groups: the first group contains all building nodes: f1; 2; : : : ; 36g, and the second group contains only the outside node: f37g. Such a 2-partition result makes sense since it captures the slowest time-scale of building thermal dynamics.

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