Dynamic performances analysis and optimization of novel high-speed electromagnetic actuator for electronic fuel injection system of diesel engine

Liu, Peng; Fan, Liyun; Zhou, Wei; Song, Enzhe

doi:10.1007/s12206-017-0749-1

Cited by 14 publications

(6 citation statements)

References 22 publications

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“…This paper was significant for improving the accuracy and speed of fuel valve operation. In terms of the structure of the HSV, Liu et al [8] proposed a novel HSV with a permanent magnet based on the parallel magnetic circuit principle, which can reduce the peak current, peak voltage, and holding current of the new HSV by 20.5%, 7.8%, and 43.9%, respectively, while increasing the response speed by 11.9% compared to the original HSV. Ebrahimi et al [9] optimized the design of an HSV, which is composed of two opposing helical coils with a shared permanent magnet core.…”

Section: Introductionmentioning

confidence: 99%

Research on Multi-Objective Optimization of High-Speed Solenoid Valve Drive Strategies under the Synergistic Effect of Dynamic Response and Energy Loss

Yu,

Yang,

Zhao

et al. 2024

Energies

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Under high-frequency operating conditions, the high-speed solenoid valve (HSV) experiences energy loss and heat generation, which significantly impacts its operational lifetime. Reducing the energy loss of an HSV without compromising its opening response characteristics poses a significant challenge. To address this issue, a finite element simulation model of an HSV coupled with a current feedback model is constructed to investigate the synergistic effects of dynamic response and energy loss. Prediction models for the opening response time, HSV driving energy, and Joule energy using a back propagation neural network (BPNN) are established. Furthermore, a multi-objective optimization study on the current driving strategy using a non-dominated sorting genetic algorithm II (NSGA-II) is conducted. After optimization, although there was a 6.24% increase in the opening response time, both HSV drive energy and Joule energy were significantly reduced by 15.67% and 22.49%, respectively. The proposed multi-objective optimization method for an HSV driving strategy holds great significance for improving its working durability.

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Section: Introductionmentioning

confidence: 99%

Research on Multi-Objective Optimization of High-Speed Solenoid Valve Drive Strategies under the Synergistic Effect of Dynamic Response and Energy Loss

Yu,

Yang,

Zhao

et al. 2024

Energies

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“…Tao et al [4], using finite element methods, discussed the influence of soft magnetic materials and structural parameters on the magnetic circuit of the HSV while proposing an optimization design method that can achieve greater electromagnetic force and lower power consumption. In terms of the structure of the HSV, Liu et al [5] proposed a novel HSV with permanent magnet based on the parallel magnetic circuit principle, which can reduce the peak current, peak voltage, and holding current of the new HSV by 20.5%, 7.8%, and 43.9% respectively, while increasing the response speed Disclaimer/Publisher's Note: The statements, opinions, and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions, or products referred to in the content.…”

Section: Introductionmentioning

confidence: 99%

Research on Multi-Objective Optimization of High-Speed Solenoid Valve Drive Strategies under the Synergistic Effect of Dynamic Response and Energy Loss

Yu,

Yang,

Zhao

et al. 2023

Preprint

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Under high-frequency operating conditions, the high-speed solenoid valve (HSV) experiences energy loss and heat generation, which significantly impact its operational lifetime. Reducing the energy loss of HSV without compromising its opening response characteristics poses a significant challenge. To address this issue, a finite element simulation model of HSV coupled with a current feedback model is constructed to investigate the synergistic effects of dynamic response and energy loss. Predictive models for the opening response time, HSV driving energy, and Joule energy using Back Propagation neural network (BPNN) are established. Furthermore, a multi-objective optimization study on the current driving strategy using Non-dominated Sorting Genetic Algorithm II (NSGA-II) is conducted. After optimization, although there was a 6.24% increase in the opening response time, both HSV drive energy and Joule energy were significantly reduced by 15.67% and 22.49%, respectively. The proposed multi-objective optimization method for HSV driving strategy holds great significance in improving its working durability.

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“…Thus, a multiple-objective optimization (MOO) approach is adopted so that these conflicted objectives can be considered simultaneously. 31,32 Liu et al 33 used finite element method (FEM) simulation, response surface method and genetic algorithm to optimize the dynamic response time, power consumption and reliability of a high-speed electromagnetic actuator. Wang et al 34 proposed a multi-objective optimization method based on genetic algorithm and magnetostatic finite element model to optimize the push force and response performance of proportional solenoid for valves.…”

Section: Introductionmentioning

confidence: 99%

Novel modulation approach of flat force–displacement characteristic of linear electro-mechanical converter for electro-hydraulic servo-proportional valve

Meng

Heng

Sheng

2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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Flat force–displacement characteristic has crucial influence on the performance of linear electro-mechanical converter of electro-hydraulic servo-proportional valves. The commercial proportional solenoids obtain such features by welding a non-magnetic separator ring, which is complicated and time-consuming. This article presents a novel modulation approach to obtain the flat force–displacement characteristic of linear electro-mechanical converter by constructing a by-pass air gap. Taking an existing linear force motor as an example, the force–displacement characteristic curves of the linear force motor with by-pass air gap and without by-pass air gap are both studied using magnetic circuit analysis and finite element method under different excitation currents. Based on the finite element method simulated data, the response surface method is used to perform the experiment design for structure parameters of linear force motor with by-pass air gap, and the quadratic fitting equations are obtained for further optimization. To balance conflicted design objectives such as linearity, mean value of output force and power-to-weight ratio, the structural parameters of the linear force motor with by-pass air gap are optimized using a multi-objective optimization algorithm based on particle swarm. Prototypes of linear force motor with by-pass air gap and without by-pass air gap are both manufactured, and a special test rig is built. The static and dynamic experimental results are consistent with the theoretical analysis. The former proves that the linear force motor with by-pass air gap can obtain a nearly flat force–displacement curve with reasonable parameter optimization and also improve output force, and the latter reveals that a linear electro-mechanical converter with flat–displacement characteristic has better working stability over common ones. The proposed modulation approach provides a new approach for the design of flat force–displacement characteristic of linear electro-mechanical converter.

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Dynamic performances analysis and optimization of novel high-speed electromagnetic actuator for electronic fuel injection system of diesel engine

Cited by 14 publications

References 22 publications

Research on Multi-Objective Optimization of High-Speed Solenoid Valve Drive Strategies under the Synergistic Effect of Dynamic Response and Energy Loss

Research on Multi-Objective Optimization of High-Speed Solenoid Valve Drive Strategies under the Synergistic Effect of Dynamic Response and Energy Loss

Research on Multi-Objective Optimization of High-Speed Solenoid Valve Drive Strategies under the Synergistic Effect of Dynamic Response and Energy Loss

Novel modulation approach of flat force–displacement characteristic of linear electro-mechanical converter for electro-hydraulic servo-proportional valve

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