In the present investigation, a simulation of the dynamic response of a high-speed solenoid valve (HSV) has been performed. The influences of hold current I on the dynamic characteristics and power losses of a HSV hav...
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In the present investigation, a simulation of the dynamic response of a high-speed solenoid valve (HSV) has been performed. The influences of hold current I on the dynamic characteristics and power losses of a HSV have been investigated through the finite-element methods (FEM). The simulation results show that as the driving current I decreases, the opening response characteristics of a HSV deteriorate, the proportion of different power losses decrease in different levels, the energy utilization efficiency of a HSV increases. In the energy distribution of a HSV, core loss accounts for the highest proportion, followed by solid loss and copper loss. Useless energy is mostly due to core loss. It can be concluded that there is a possibility of achieving an optimal balance between the opening response time and energy distribution of a HSV when choosing hold current I properly. (C) 2017 Elsevier Ltd. All rights reserved.
Early fault diagnosis of commonrailinjectors is essential to reduce diesel engine testing and maintenance costs. Therefore, this paper proposes a new commonrailinjector early fault diagnosis method, which combines...
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Early fault diagnosis of commonrailinjectors is essential to reduce diesel engine testing and maintenance costs. Therefore, this paper proposes a new commonrailinjector early fault diagnosis method, which combines the Maximum Second-order Cyclostationary Blind Deconvolution (CYCBD) optimized by the Seagull Optimization Algorithm (SOA) and Hierarchical Fluctuation Dispersion Entropy (HFDE). First, we use SOA adaptively to seek the optimal filter length of CYCBD and use the optimal CYCBD to filter the fuel pressure signal of the high-pressure fuel pipe. Then, in order to make up for the shortcomings of Multi-scale Fluctuation Dispersion Entropy (MFDE) ignoring high-frequency component information, this paper proposes HFDE to extract the fault characteristics after filtering. Finally, we input the fault characteristics into Least Squares Support Vector Machines (LSSVM) for classification and recognition. Through the analysis of experimental data, the method proposed in this paper can effectively identify the early failure state of the commonrailinjector. Compared with the existing methods, the proposed method has a higher fault recognition rate. (C) 2021 Elsevier Inc. All rights reserved.
The control accuracies of the injection time and fuel quantity are the most important factors affecting the fuel economy and emissions of an engine equipped with a high-pressure common-rail fuel injection system. This...
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The control accuracies of the injection time and fuel quantity are the most important factors affecting the fuel economy and emissions of an engine equipped with a high-pressure common-rail fuel injection system. This paper presents an intelligent dual-voltage driving control that can simultaneously reduce the response time of the injector and improve the accuracy of the injected fuel quantity. The designed method employs a novel boost dc-dc circuit and does not require an additional independent dc-dc module that includes an inductor switch MOSFET and a controller. During the time interval between two continuous injections, the low-side MOSFET serves as a dc-dc switch, and the software in the controller controls the dual-voltage dc-dc, which uses the injector as a charging inductor of the dc-dc module. The operation principle of this intelligent driving circuit is described. Experimental results show that this method can not only significantly decrease the response time of the injector but also improve the stability of the fuel injection process.
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