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液压回收系统的内可逆建模

Endoreversible Modeling of a Hydraulic Recuperation System.

作者信息

Masser Robin, Hoffmann Karl Heinz

机构信息

Institut für Physik, Technische Universität Chemnitz, 09107 Chemnitz, Germany.

出版信息

Entropy (Basel). 2020 Mar 26;22(4):383. doi: 10.3390/e22040383.

DOI:10.3390/e22040383
PMID:33286158
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516859/
Abstract

Hybrid drive systems able to recover and reuse braking energy of the vehicle can reduce fuel consumption, air pollution and operating costs. Among them, hydraulic recuperation systems are particularly suitable for commercial vehicles, especially if they are already equipped with a hydraulic system. Thus far, the investigation of such systems has been limited to individual components or optimizing their control. In this paper, we focus on thermodynamic effects and their impact on the overall systems energy saving potential using endoreversible thermodynamics as the ideal framework for modeling. The dynamical behavior of the hydraulic recuperation system as well as energy savings are estimated using real data of a vehicle suitable for application. Here, energy savings accelerating the vehicle around 10% and a reduction in energy transferred to the conventional disc brakes around 58% are predicted. We further vary certain design and loss parameters-such as accumulator volume, displacement of the hydraulic unit, heat transfer coefficients or pipe diameter-and discuss their influence on the energy saving potential of the system. It turns out that heat transfer coefficients and pipe diameter are of less importance than accumulator volume and displacement of the hydraulic unit.

摘要

能够回收和再利用车辆制动能量的混合动力驱动系统可以降低燃油消耗、空气污染和运营成本。其中,液压回收系统特别适用于商用车,尤其是那些已经配备液压系统的商用车。到目前为止,对这类系统的研究仅限于单个部件或对其控制进行优化。在本文中,我们以不可逆热力学作为建模的理想框架,重点研究热力学效应及其对整个系统节能潜力的影响。利用适合应用的车辆实际数据来估计液压回收系统的动态行为以及节能情况。在此,预测车辆加速时节能约10%,传递到传统盘式制动器的能量减少约58%。我们进一步改变某些设计和损失参数,如蓄能器容积、液压单元排量、传热系数或管道直径,并讨论它们对系统节能潜力的影响。结果表明,传热系数和管道直径的重要性低于蓄能器容积和液压单元排量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17fe/7516859/5fb6d5db7e46/entropy-22-00383-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17fe/7516859/5fb6d5db7e46/entropy-22-00383-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17fe/7516859/8b5bd2341a52/entropy-22-00383-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17fe/7516859/43a27d882696/entropy-22-00383-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17fe/7516859/21315d3ea9fe/entropy-22-00383-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17fe/7516859/ecedba64e419/entropy-22-00383-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17fe/7516859/d91f2f4c80df/entropy-22-00383-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17fe/7516859/fe5cfb4d7f77/entropy-22-00383-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17fe/7516859/0339f72482fb/entropy-22-00383-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17fe/7516859/5fb6d5db7e46/entropy-22-00383-g013.jpg

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