Development and Validation of a Novel Zero-Dimensional Heat Rejection Model for High-Efficiency Engines

Francesca Furia, Vittorio Ravaglioli (), Alberto Cerofolini and Carlo Bussi
Additional contact information
Francesca Furia: Department of Industrial Engineering, Università di Bologna, Via Fontanelle 40, 47121 Forlì, Italy
Vittorio Ravaglioli: Department of Industrial Engineering, Università di Bologna, Via Fontanelle 40, 47121 Forlì, Italy
Alberto Cerofolini: Power Unit Performance and Control Strategies, Ferrari S.p.A., via Enzo Ferrari 27, 41053 Maranello, Italy
Carlo Bussi: Power Unit Performance and Control Strategies, Ferrari S.p.A., via Enzo Ferrari 27, 41053 Maranello, Italy

Energies, 2024, vol. 17, issue 9, 1-14

Abstract: In recent years, the trend towards the performance maximization of modern internal combustion engines has led to the creation of accurate simulation models to optimize the engine design and operating conditions. Temperature management is crucial to achieve the performance goals of an internal combustion engine without affecting the component’s reliability. Formula 1 mandates that only a limited number of experimental tests can be performed, which leads to the necessity of simulators capable of substituting empirical tests. Furthermore, the requirement of adapting the vehicle setup before each race weekend to maximize the performance on each circuit layout necessitates short computational time. To address this, the development of a zero-dimensional model of the thermal flows within an engine is presented in this paper. This model allows to precisely compute the dynamic variations of all the heat flows inside the combustion engine, excluding only the radiative ones and the engine components’ temperatures. The new simulation approach has been developed and validated on a Formula 1 engine and shown to be precise and fast. The results demonstrate the value of the proposed model with an average engine fluid temperature error of less than 1 °C for a computational cost comparable with on-board applications.

Keywords: heat transfer; zero-dimensional model; internal combustion engine; real-time simulation; fluid temperature prediction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/9/2116/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/9/2116/ (text/html)

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:gam:jeners:v:17:y:2024:i:9:p:2116-:d:1385393

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().