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Article

Rapid Physics-Based Synthesis of Diesel Engine Models for Hybrid Powertrain Optimization

by
Rupert Tull de Salis
ZeBeyond Ltd., The Fold, Spencer Street, Leamington Spa CV31 3NE, UK
Vehicles 2026, 8(5), 110; https://doi.org/10.3390/vehicles8050110
Submission received: 9 April 2026 / Revised: 10 May 2026 / Accepted: 11 May 2026 / Published: 13 May 2026
(This article belongs to the Section Powertrain and Energy Systems)

Abstract

Concept-phase planning of diesel-engined hybrid vehicles requires rapid engine synthesis, including brake-specific fuel consumption (BSFC) estimation, with minimal input data. Fuel savings from hybridization arise partly through engine downsizing and engine-off operation, so trade studies depend on knowing the dependence of BSFC on engine sizing and speed and load conditions. This paper presents a method for synthesizing hypothetical modern diesel engines of any given size for the purpose of trade studies. The synthesized engines match the performance and efficiency capabilities of commercially available units. Relationships are developed between rated power, rated speed, peak torque, displacement and cylinder count for four vehicle application classes. Together with a BSFC estimation method, these relationships form a complete engine synthesis chain from rated power to a full torque curve and BSFC map. Known values may be substituted, such as minimum BSFC, wherever published data are available. The method supports continuous scaling.
Keywords: diesel engine simulation; engine scaling; BSFC estimation; reduced order engine modeling; engine downsizing diesel engine simulation; engine scaling; BSFC estimation; reduced order engine modeling; engine downsizing

Share and Cite

MDPI and ACS Style

Tull de Salis, R. Rapid Physics-Based Synthesis of Diesel Engine Models for Hybrid Powertrain Optimization. Vehicles 2026, 8, 110. https://doi.org/10.3390/vehicles8050110

AMA Style

Tull de Salis R. Rapid Physics-Based Synthesis of Diesel Engine Models for Hybrid Powertrain Optimization. Vehicles. 2026; 8(5):110. https://doi.org/10.3390/vehicles8050110

Chicago/Turabian Style

Tull de Salis, Rupert. 2026. "Rapid Physics-Based Synthesis of Diesel Engine Models for Hybrid Powertrain Optimization" Vehicles 8, no. 5: 110. https://doi.org/10.3390/vehicles8050110

APA Style

Tull de Salis, R. (2026). Rapid Physics-Based Synthesis of Diesel Engine Models for Hybrid Powertrain Optimization. Vehicles, 8(5), 110. https://doi.org/10.3390/vehicles8050110

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