Equivalent model-based optimal matching for two-stage turbocharging systems with bypass valves

Zhiqiang Han, Jiawei Ding, Defeng Du, Wei Tian, Xueshun Wu, Qi Xia and Zinong Zuo

Energy, 2023, vol. 264, issue C

Abstract: A bypass valve can effectively distribute the energy of a two-stage boosting system and adapt to the demand for air intake regulation in multiple combustion modes. Gradually, it has become the direction of evolution of boosting technology. However, the existing two-stage turbocharging system matching methods do not consider the selection of bypass valves simultaneously. This study proposes an optimal matching method (H-TCB) for the critical parameters of a two-stage turbocharging system with a bypass valve based on the equivalent model of a two-stage turbocharging system. Taking the lowest comprehensive energy consumption as the constraint boundary, the theoretical constraint equations for the optimal distribution principle of the pressure and expansion ratios of the two-stage turbocharger with a bypass valve were obtained. The cooperative optimal relationship between the bypass coefficient and flow area of the high-pressure stage turbine and the similar flow of the high-pressure stage compressor were analyzed. The research results show that, as the bypass coefficient increases, the optimized matching high-pressure stage turbocharger efficiency increases gradually, the effective flow area of the high-pressure stage turbine reduces, and the flow of the high-pressure stage compressor increases.

Keywords: Two-stage turbocharging system; Matching method; Pressure ratio; Bypass coefficient; High-pressure stage turbocharger efficiency (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222031115
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:264:y:2023:i:c:s0360544222031115

DOI: 10.1016/j.energy.2022.126225

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().