Computational Evaluation of the Effect of Plunger Spring Stiffness On Opening and Closing Times of the Low-Pressure Gas-Phase Injector

Szpica, Dariusz; Kusznier, Michał

doi:10.5755/j02.mech.31230

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…Particulate matter is composed of a center core of elemental carbon (soot) and adsorbed organic compounds including PAHs and small amounts of sulfate, metals nitrate, and other trace components [227]. The emissivity of motor vehicles and their performance can be improved in several ways, including by changing the type of fuel [23,29,[226][227][228] or the power system [63,[229][230][231][232][233][234] and recovering lost energy [176,187,211,217,235].…”

Section: Discussionmentioning

confidence: 99%

Overview of Energy Harvesting Technologies Used in Road Vehicles

et al. 2023

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Road transport is one of the most important factors for the national economy due to its universality and comprehensive possibilities of transporting people and goods. Unfortunately, from the energy point of view, it is also the most cost-intensive and has a negative influence on the natural environment. For these reasons, issues related to limiting the use of conventional fuels are very important, which results in reducing emissions from this sector, as well as reducing transport costs. This article presents currently used energy sources for propulsion of road vehicles, including fossil and alternative fuels, gaseous fuels and other energy sources such as fuel cells. The following section presents technologies that allow to recover some of the energy lost in motor vehicles and internal combustion engines used for their propulsion. The principle of operation of these solutions, their structure and their main features are presented. The last part focuses on discussing and identifying the most universal technologies for energy harvesting in vehicles and showing further directions of energy development in the automotive sector.

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Section: Discussionmentioning

confidence: 99%

Overview of Energy Harvesting Technologies Used in Road Vehicles

et al. 2023

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“…Combined with the definition of physical unit, this paper defines the impulse I as the integral of the output in time from the moment of energy release [8][9]. Choose a suitable time, the spring impulse will be positively correlated with the crank arm speed and the output after energy release, and the evaluation quantity reflecting the performance state is as follows:…”

Section: Circuit Breaker Energy Storage Spring Performancementioning

confidence: 99%

Research on performance state evaluation of circuit breaker energy storage spring based on intelligent algorithm

Xie,

Zhou,

Zhao

et al. 2024

J. Phys.: Conf. Ser.

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The performance state evaluation method of circuit breaker energy storage spring mainly judges its performance state indirectly by measuring the pre-tightening force or pre-pressure of the spring. However, there may be some errors in this indirect measurement method, which will affect the accuracy of the evaluation results. Therefore, the performance state evaluation based on intelligent algorithm is proposed. Select the evaluation characteristic quantity of performance state, calculate the energy storage spring impulse according to the momentum theorem, and obtain the pressure value of the closing energy storage spring through the pressure sensor as the evaluation quantity reflecting the energy storage spring performance state. The BP neural network is established, and the fireworks algorithm is applied to the BP neural network to optimize the initial weight and threshold, so as to realize the performance state evaluation of energy storage spring based on BP neural network. The experimental results show that the spring energy release speed of the proposed method is in the range of 0 - 1.0m/s, and the estimated spring pressure value is basically consistent with the actual value.

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“…It appears that spark-ignition engines still have great development potential [10][11][12]. Another important attribute is the ease of supplying them at the factory level or later converting them to alternative fuel [13][14][15][16][17][18]. Both of these possibilities are allowed under European [19] and Polish law.…”

Section: Introductionmentioning

confidence: 99%

The Concept of Determining Route Signatures in Urban and Extra-Urban Driving Conditions Using Artificial Intelligence Methods

et al. 2023

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The article describes the implementation of road driving tests with a vehicle in urban and extra-urban traffic conditions. Descriptions of the hardware and software needed for archiving the data obtained from the vehicle’s on-board diagnostic connector are presented. Then, the routes are analyzed using artificial intelligence methods. In this article, the reference of the route was defined as the trajectory of the driving process, represented by the engine rotational speed, the driving speed, and acceleration in the state space. The state space was separated into classes based on the results of the cluster analysis. In the experiment, five classes were clustered. The K-Means clustering algorithm was employed to determine the clusters in the variant without prior labelling of the classes using the teaching method and without participation of a teacher. In this way, the trajectories of the driving process in the five-state state space were determined. The article compares the signatures of routes created in urban and extra-urban driving conditions. Significant differences between the obtained results were indicated. Interesting methods of displaying the saved data are presented and the potential practical applications of the proposed method are indicated.

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Computational Evaluation of the Effect of Plunger Spring Stiffness On Opening and Closing Times of the Low-Pressure Gas-Phase Injector

Cited by 4 publications

References 20 publications

Overview of Energy Harvesting Technologies Used in Road Vehicles

Overview of Energy Harvesting Technologies Used in Road Vehicles

Research on performance state evaluation of circuit breaker energy storage spring based on intelligent algorithm

The Concept of Determining Route Signatures in Urban and Extra-Urban Driving Conditions Using Artificial Intelligence Methods

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