Progress in knock combustion modeling of spark ignition engines

F Ji, S Meng, Z Han, G Dong, RD Reitz - Applied Energy, 2025 - Elsevier
Knock combustion is one of the primary factors limiting thermal efficiency improvement in
spark ignition (SI) engines. After a century of research, scholars have made significant …

Knock recognition of knock sensor signal based on wavelet transform and variational mode decomposition algorithm

J Sun, X Zhang, Q Tang, Y Wang, Y Li - Energy Conversion and …, 2023 - Elsevier
Natural gas has become the most widely used alternative energy for engines because of its
low emission pollution and sufficient energy reserve. In order to improve the thermal …

Development strategies of integrated electronic control units in IoEVs for mobility energy efficiency: A comprehensive review

SSA Naqvi, H Jamil, M Faseeh, N Iqbal, S Khan… - Internet of Things, 2024 - Elsevier
Abstract The integrated Electrical Control Unit (ECU) assumes a pivotal role in overseeing
and coordinating various components within mobility systems, encompassing the Vehicle …

Knock probability determination employing convolutional neural network and IGTD algorithm

M Hosseini, I Chitsaz - Energy, 2023 - Elsevier
This study presents a novel method based on the convolutional neural network to evaluate
knock probability. In this way, lots of data sets are extracted from the real driving conditions …

An experimental study of knock analysis of HCNG fueled SI engine by different methods and prediction of knock intensity by particle swarm optimization-support vector …

M Farhan, T Chen, A Rao, MI Shahid, Q Xiao… - Energy, 2024 - Elsevier
Hydrogen and its careers have a lot of potential in transportation industry due to lesser
emissions and better performance. Performance of hydrogen enriched compressed natural …

[PDF][PDF] Improving diesel engine reliability using an optimal prognostic model to predict diesel engine emissions and performance using pure diesel and hydrogenated …

T Žvirblis, J Hunicz, J Matijošius… - Eksploatacja i …, 2023 - bibliotekanauki.pl
The reliability of internal combustion engines becomes an important aspect when traditional
fuels with biofuels. Therefore, the development of prognostic models becomes very …

[HTML][HTML] Fueling the future: Exploring the synergy of artificial intelligence-based algorithms and the use of biofuels in engine development

S Patnaik, N Khatri, ER Rene - Journal of the Taiwan Institute of Chemical …, 2024 - Elsevier
Background The development of internal combustion (IC) engines has seen significant
advancements, but understanding and modelling their complex dynamics pose challenges …

Knock detection in spark ignited heavy duty engines: An application of machine learning techniques with various knock sensor locations

A Aramburu, C Guido, P Bares, B Pla, P Napolitano… - Measurement, 2024 - Elsevier
Knock detection is critical to engine control as it prevents damage and ensures optimal
performance. However, it still presents significant challenges, particularly in alternative …

A research-inducing environment to technology using friction modifier for motor gasoline fuel

VD Savelenko, MA Ershov, VM Kapustin… - Process Safety and …, 2024 - Elsevier
The share of gasoline with improved properties reaches up to 30% of the total production of
gasoline in the world. The main component of the additive packages for these fuels is a …

An enhanced automated machine learning model for optimizing cycle-to-cycle variation in hydrogen-enriched methanol engines

Y Zhu, Z He, T Xuan, Z Shao - Applied Energy, 2024 - Elsevier
Renewable methanol and hydrogen have emerged as great potential alternative fuels for
internal combustion engines in recent research. Hydrogen exhibits the ability to mitigate …