Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Multi-objective energy management for Atkinson cycle engine and series hybrid electric vehicle based on evolutionary NSGA-II algorithm using digital twins
In order to develop higher performance Atkinson cycle gasoline engine and explore its fuel-
saving potential on series hybrid electric vehicles, this study is pioneered in digital twins by …
saving potential on series hybrid electric vehicles, this study is pioneered in digital twins by …
Multi-objective optimization of the Atkinson cycle gasoline engine using NSGA Ⅲ coupled with support vector machine and back-propagation algorithm
This paper presents an optimization method using Non-dominated Sorting Genetic
Algorithm (NSGA) Ⅲ to drive support vector machine (SVM). In the NSGA Ⅲ algorithm …
Algorithm (NSGA) Ⅲ to drive support vector machine (SVM). In the NSGA Ⅲ algorithm …
Efficiency and cost optimization of a regenerative Organic Rankine Cycle power plant through the multi-objective approach
Multi-objective optimization could be, in the industrial sector, a fundamental strategic
approach for defining the target design specifications and operating parameters of new …
approach for defining the target design specifications and operating parameters of new …
Effects of valve timing, valve lift and exhaust backpressure on performance and gas exchanging of a two-stroke GDI engine with overhead valves
The current demand for fuel efficient and lightweight powertrains, particularly for application
in downsized and hybrid electric vehicles, has renewed the interest in two-stroke engines. In …
in downsized and hybrid electric vehicles, has renewed the interest in two-stroke engines. In …
Power and fuel economy optimizations of gasoline engines using hydraulic variable valve actuation system
The hydraulic variable valve actuation (HVVA) system can provide greater freedoms to the
engine valve motions than most of the traditional cam-based valve train systems do. By …
engine valve motions than most of the traditional cam-based valve train systems do. By …
Volumetric efficiency estimation based on neural networks to reduce the experimental effort in engine base calibration
Over the last decades, internal combustion engines have undergone a continuous evolution
to achieve better performance, lower pollutant emissions and reduced fuel consumption …
to achieve better performance, lower pollutant emissions and reduced fuel consumption …
[HTML][HTML] The key role of the vector optimization algorithm and robust design approach for the design of polygeneration systems
In recent decades, growing concerns about global warming and climate change effects have
led to specific directives, especially in Europe, promoting the use of primary energy-saving …
led to specific directives, especially in Europe, promoting the use of primary energy-saving …
Reduction of the experimental effort in engine calibration by using neural networks and 1D engine simulation
In this study, two effective methodologies are proposed to overcome some critical issues
concerning the base calibration of engine control parameters. Specifically, Neural Networks …
concerning the base calibration of engine control parameters. Specifically, Neural Networks …
A Model-Based Computer Aided Calibration Methodology Enhancing Accuracy, Time and Experimental Effort Savings Through Regression Techniques and Neural …
F de Nola, G Giardiello, A Gimelli, A Molteni, M Muccillo… - 2017 - sae.org
In the last few years, the automotive industry had to face three main challenges: compliance
with more severe pollutant emission limits, better engine performance in terms of torque and …
with more severe pollutant emission limits, better engine performance in terms of torque and …
Performance assessment of a 15 kW Micro-CHCP plant through the 0D/1D thermo-fluid dynamic characterization of a double water circuit waste heat recovery system
The exploitation of renewable energy sources and the use of primary energy saving
techniques have been recognized as key solutions to face climate changes. The consequent …
techniques have been recognized as key solutions to face climate changes. The consequent …