Thermal Management Simulations By Coupling of Different Software Packages to a Comprehensive System

Puntigam, Wolfgang; Hörmann, Thomas; Schierl, Kurt; Wiesler, Bruno; Hager, Josef

doi:10.4271/2005-01-2061

Cited by 14 publications

(2 citation statements)

References 5 publications

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“…The function has now become so common that researchers in many parts of the world have stoped citing the source(s) from which it originates, and there is still some confusion about whether it should be referred to as the Wiebe, Weibe, Vibe, or Viebe function. An interesting example of this confusion can be found in a Russian translation of an SAE paper [1] where the function is referred to by its literal English/German variant 'VIBE' instead of its original Cyrillic spelling 'B e'.…”

Section: Introductionmentioning

confidence: 99%

Review of the development and applications of the Wiebe function: A tribute to the contribution of Ivan Wiebe to engine research

Ghojel

2010

International Journal of Engine Research

245

120

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Analytical functions approximating the burn rate in internal combustion engines are useful and cost-effective tools for engine cycle simulations. Most functions proposed to date are based on the law of normal distribution of a continuous random variable. The best known of these is the Wiebe function, which is used to predict the burn fraction and burn rate in internal combustion engines operating with different combustion systems and fuels. These include direct injection (DI) and indirect injection (IDI) diesel engines, classical spark ignition (SI) engines and gasoline direct injection (GDI) engines, engines with homogeneous charge compression ignition (HCCI) and premixed charge compression ignition (PCCI). This paper is a tribute to the lasting legacy of the Wiebe function and to the man behind it, Ivan Ivanovitch Wiebe. It includes a historical background to the development of the function in the mid 1950s in the Soviet Union, the controversy that surrounded its introduction, a description of the method used to arrive at the final formulation, and an overview of the many applications as prescriptive or predictive single-, double- and multi-function combustion models in engine research.

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Section: Introductionmentioning

confidence: 99%

Review of the development and applications of the Wiebe function: A tribute to the contribution of Ivan Wiebe to engine research

Ghojel

2010

International Journal of Engine Research

245

120

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“…The conclusion was that the cooling performance of the integrated cooling system was superior to that of the original cooling system. Thus, it can be concluded that the 1D and 3D co-simulation approach has great potential to predict ITM for ICEV with acceptable accuracy and can improve ITM cooling performance [166,178]. Shen [179] discovered that the flow field of the rear engine cabin was much more complicated and the error was much larger if only using the 1D model directly.…”

Section: Co-simulation For Internal Combustion Engine Vehiclementioning

confidence: 99%

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

et al. 2017

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Abstract:With the increasing demands for vehicle dynamic performance, economy, safety and comfort, and with ever stricter laws concerning energy conservation and emissions, vehicle power systems are becoming much more complex. To pursue high efficiency and light weight in automobile design, the power system and its vehicle integrated thermal management (VITM) system have attracted widespread attention as the major components of modern vehicle technology. Regarding the internal combustion engine vehicle (ICEV), its integrated thermal management (ITM) mainly contains internal combustion engine (ICE) cooling, turbo-charged cooling, exhaust gas recirculation (EGR) cooling, lubrication cooling and air conditioning (AC) or heat pump (HP). As for electric vehicles (EVs), the ITM mainly includes battery cooling/preheating, electric machines (EM) cooling and AC or HP. With the rational effective and comprehensive control over the mentioned dynamic devices and thermal components, the modern VITM can realize collaborative optimization of multiple thermodynamic processes from the aspect of system integration. Furthermore, the computer-aided calculation and numerical simulation have been the significant design methods, especially for complex VITM. The 1D programming can correlate multi-thermal components and the 3D simulating can develop structuralized and modularized design. Additionally, co-simulations can virtualize simulation of various thermo-hydraulic behaviors under the vehicle transient operational conditions. This article reviews relevant researching work and current advances in the ever broadening field of modern vehicle thermal management (VTM). Based on the systematic summaries of the design methods and applications of ITM, future tasks and proposals are presented. This article aims to promote innovation of ITM, strengthen the precise control and the performance predictable ability, furthermore, to enhance the level of research and development (R&D).

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