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A methodology to estimate mechanical losses and its distribution during a real driving cycle

Authors :
Antonio J. Jiménez-Reyes
Jaime Martín
Benjamín Pla
Bernardo Tormos
Source :
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

[EN] Reducing mechanical losses in internal combustion engines has been a recurrent research topic over the past few decades. Despite mechanical losses are a key issue that should be carefully addressed to reduce fuel consumption and emissions, its distribution amongst engine elements is barely covered in literature. Recent work has shown the potential advantage of using low viscosity engine oils to reduce fuel consumption, however, there is reduced knowledge on mechanical losses distribution under transient conditions. In this work, a model is presented that predicts not only the total friction losses of an engine, but determines the amount of friction energy lost in piston-ring assembly, engine bearings, camshaft and engine auxiliaries in driving cycles representing a real driving route. The stationary mechanical losses engine maps can be used due to non-dependence on mechanical losses with temperature in warm driving cycle conditions. The final results of the simulation predicts, with 2% error, fuel consumption, energy expended by the driven wheel and mechanical losses of the engine. This methodology reduces the computational cost to estimate key engine parameters in a real driving cycle such as: mechanical losses and its distribution, fuel consumption... as the total calculation time is 10 s per cycle simulated.<br />The authors would like to thank different members of the CMT-Motores Termicos team of the Universitat Politecnica de Valencia for their contribution to this work. The authors would also like to thank the Spanish Ministry of Science, Innovation and Universities and Universities for financing the PhD. Studies of Antonio J. Jimenez-Reyes (grant FPU18/02 116).

Details

Language :
English
Database :
OpenAIRE
Journal :
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname
Accession number :
edsair.doi.dedup.....c7b301cde630267dfb646ffe667db908
Full Text :
https://doi.org/10.1016/j.triboint.2020.106208