Innovative conceptional approach to quantify the potential benefits of gasoline-methanol blends and their conceptualization on fuzzy modeling

TMM Abdellatief, MA Ershov, VM Kapustin… - International Journal of …, 2022 - Elsevier
Restricted fossil-based petroleum fuel resources and a raising fuel utilization direction have
produced significant economic and ecological issues. The current article exhibits a robust …

Leveraging the benefits of ethanol-fueled advanced combustion and supervisory control optimization in hybrid biofuel-electric vehicles

H Zhang, S Liu, N Lei, Q Fan, Z Wang - Applied Energy, 2022 - Elsevier
The advanced combustion-based dedicated hybrid engines (DHEs) operating with biofuels
demonstrate great advantages to reduce greenhouse gas emissions. To explore the …

[HTML][HTML] Data-driven enabling technologies in soft sensors of modern internal combustion engines: Perspectives

J Li, Q Zhou, X He, W Chen, H Xu - Energy, 2023 - Elsevier
Under the dual thrust of decarbonisation and digitalisation, data-driven enabling
technologies become the most promising solutions to reducing the time, cost, and effort …

A consensus novelty detection ensemble approach for formulating renewable gasoline-ethanol blends

TMM Abdellatief, MA Ershov, VM Kapustin… - International Journal of …, 2024 - Elsevier
Vehicle gasoline engines are fueled by ethanol as a low-cost environmentally renewable
fuel in several areas. Ethanol possesses high antidetonation properties, which is further …

Artificial Intelligence and Its Roles in the R&D of Vehicle Powertrain Products

Q Zhou, J Li, H Xu - … Journal of Automotive Manufacturing and Materials, 2022 - sciltp.com
Decarbonization requires global actions, and the transport sector is the main battlefield
since it contributes more than 20% of CO 2 emissions. Vehicle electrification is an effective …

[HTML][HTML] Robust key parameter identification of dedicated hybrid engine performance indicators via K-fold filter collaborated feature selection

X He, J Li, Q Zhou, G Lu, H Xu - Engineering Applications of Artificial …, 2023 - Elsevier
Dedicated hybrid engine technology using auxiliary electronic components has been proven
as an energy-saving solution to public concerns about energy consumption and carbon …

Statistics-guided accelerated swarm feature selection in data-driven soft sensors for hybrid engine performance prediction

J Li, Q Zhou, H Williams, G Lu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The accurate prediction of soft sensors is essential for the development of modern
combustion engines to achieve better performance, lower emissions, and reduced fuel …

Thermal efficiency predictive modelling of dedicated hybrid engines based on an optimal multi-network structure

C Wen, J Li, Q Zhou, G Lu, H Xu - International Journal of …, 2024 - inderscienceonline.com
This paper presents an evolutionary data-driven modelling approach for dedicated hybrid
engine thermal efficiency (TE) prediction, in which a multi-network structure is developed to …

Fine-tuning Transfer Learning for Knock Intensity Modeling of an Engine Fuelled with High Octane Number Gasoline

G Tan, L Xu, J Li, H Xu, Y Li, ZE Liu… - 2023 7th CAA …, 2023 - ieeexplore.ieee.org
Despite the potential of high octane number (ON) gasoline in knocking prohibition and fuel
efficiency improvement, its application to the existing engines requires recalibration to …

Développement d'une méthodologie d'essais dynamiques appliquée à la mise au point moteur

DE Hambarek - 2023 - theses.hal.science
Les travaux de cette thèse de doctorat s' inscrivent dans le contexte d'évolution desnormes
de dépollution des moteurs thermiquescouplée aux exigences de baisse de la …