Simulation method and system considering energy conversion of plasma ignition system

Abstract

The invention provides a simulation method and system considering energy conversion of a plasma ignition system, and belongs to the technical field of plasma-assisted combustion numerical simulation. The method comprises the following steps: acquiring combustion parameters and kinetic parameters in a plasma ignition simulation process; classifying plasma dynamics and combustion dynamics according to reaction types, and performing global sensitivity analysis based on combustion parameters and kinetic parameters; determining key substances by adopting a plasma thermochemical unstable model and energy decomposition according to the result of the global sensitivity analysis; and processing the key substance by using an element-based plasma global flux model, determining a specific global path and dynamic effects of a chemical reaction in different time periods, further determining a fuel decomposition path, and quantifying the dynamic enhancement process of plasma ignition. The problem of explaining the plasma enhanced ignition rule is effectively solved, and further application of the PAC technology is promoted.

Description

Technical Field

[0001] The present invention belongs to the technical field of plasma assisted combustion numerical simulation, and in particular relates to a simulation method and system considering energy conversion of a plasma ignition system. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Plasma assisted combustion (PAC) technology is a new emerging combustion technology. Studies have found that PAC can overcome the flame extinguishing limit. Compared with high-temperature ignition, PAC ignition can achieve lower temperature combustion, which is different from the ignition blow-off S curve that must be followed in the conventional ignition process. For internal combustion engines, plasmas generated by different types of discharges such as microwaves, radio frequencies, laser ignition, and nanosecond repetitive pulses (NRP) have been used to assist ignition and combustion, among which NRP has significant advantages in low-energy ignition. The combined advantages of the NRP form and PAC technology can not only achieve low-temperature ignition of zero-carbon fuels under normal pressure, but also flexibly regulate the generation of non-equilibrium plasma and chemical reaction activity through discharge parameters. It is an ideal solution for internal combustion engines to move towards controllable zero-carbon combustion.

[0004] Numerical simulation of non-plasma-assisted combustion is an important means to evaluate the characteristics and performance of plasma combustion, and can provide a reference for the practical application of certain settings. In the numerical simulation process, the setting of discharge parameters will have a great impact on the plasma ignition system. The selection of appropriate control parameters requires an in-depth analysis of the PAC ignition law. Existing results show that balanced plasma-assisted enhanced combustion is mainly achieved through three pathways: thermodynamic effect, kinetic effect, and transport effect.

[0005] At present, the research method of PAC simulation technology is still to explain the reasons for plasma ignition enhancement through material generation and consumption, which ignores the combustion state transition and energy conversion between plasma systems. On the other hand, the current kinetic research method of PAC simulation is divided into two parts: plasma kinetics and combustion kinetics. This processing result will also ignore the coupling relationship between plasma and ground state free radicals, such as rapid gas heating effect and vibration-translation relaxation effect. Existing analysis technology still cannot completely solve the difficulty of explaining the laws of plasma enhanced ignition, resulting in further limitations on the application of PAC technology. Summary of the invention

[0006] In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a simulation method and system taking into account the energy conversion of a plasma ignition system. Based on PAC simulation, a global sensitivity analysis is first performed to couple the plasma dynamics and combustion dynamics effects. Then, a plasma thermochemical instability model and energy decomposition are used to determine the key substances. Finally, an element-based plasma global path analysis model is developed to realize the kinetic study of the plasma enhancement law.

[0007] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions:

[0008] A first aspect of the present invention provides a simulation method considering energy conversion of a plasma ignition system;

[0009] A simulation method considering energy conversion of a plasma ignition system includes:

[0010] Obtain the combustion parameters and kinetic parameters of the plasma ignition simulation process;

[0011] The plasma ignition simulation process is divided into plasma dynamics and combustion dynamics according to the reaction type, and a global sensitivity analysis is performed based on the combustion parameters and dynamic parameters.

[0012] Based on the results of the global sensitivity analysis, the plasma thermochemical instability model and energy decomposition were used to identify the key species;

[0013] The key substances are processed using an element-based plasma global flux model to obtain the global pathways of the key substances and the kinetic effects of chemical reactions at different time periods, thereby determining the fuel decomposition pathway and quantifying the kinetic enhancement process of plasma ignition.

[0014] As a further technical solution, combustion parameters and kinetic parameters are obtained according to the calculation results of the plasma ignition coupling solver; wherein the combustion parameters include substance concentration, chemical potential, and gas temperature; the kinetic parameters include a stoichiometric coefficient matrix, a substance element matrix, and a reaction rate matrix.

[0015] As a further technical solution, the process of performing global sensitivity analysis based on combustion parameters and kinetic parameters is as follows:

[0016] According to the classification results of reaction types, the ignition delay time is used as the objective function, and the importance of chemical reaction rate constants is ranked according to their average influence on the output of plasma ignition simulation process and the coupling relationship between chemical reaction rate constants;

[0017] Taking the reaction rate as the input variable, jThe uncertainty range is discretized to determine the discrete number; the reaction rate of each reaction category is changed in turn by the disturbance variable to obtain the ignition delay time of each category;

[0018] The target ignition delay time is weighted averaged and normalized to obtain the analysis result of global sensitivity.

[0019] As a further technical solution, the process of determining key substances using the plasma thermochemical instability model and energy decomposition according to the results of the global sensitivity analysis is as follows:

[0020] The analysis results of global sensitivity are used as reference data for plasma thermochemical instability and energy conversion analysis;

[0021] The plasma thermochemical instability model uses computational singular perturbation theory to analyze the instability of plasma thermochemistry, distinguishing the kinetic effect and energy conversion of plasma in the ignition system, and the energy conversion range will be applied to energy analysis;

[0022] The energy analysis adopts the energy decomposition method to distinguish the energy conversion process during the pulse discharge and between the pulse intervals, and determines the key substances that affect the energy conversion in combination with the changes of substances in this range.

[0023] As a further technical solution, the key substance is an active free radical.

[0024] As a further technical solution, the process of processing the key substances using the element-based plasma global flux model to determine the specific global path and the kinetic effect of the chemical reaction in different time periods is as follows:

[0025] The element-based plasma global flux model uses a depth-first search algorithm to calculate all path nodes and corresponding cycle paths of key species;

[0026] By constructing an element flux diagram to describe the transformation relationship between key substances;

[0027] The reaction flux was normalized to distinguish the transformation size of key substances;

[0028] Calculate the contribution rate of the reaction to the material transformation, and determine the specific global path and the kinetic effect of the chemical reaction in different time periods based on the contribution rate.

[0029] As a further technical solution, the contribution rate is:

[0030]

[0031] Where Rc is the reaction contribution rate, R i→jContains the number of all reactions from substance i to substance j; A e,r,i→j is the flux of element e from substance i to substance j in the rth reaction.

[0032] A second aspect of the present invention provides a research system considering energy conversion in a plasma ignition system.

[0033] A research system considering energy conversion of a plasma ignition system, comprising:

[0034] The parameter acquisition module is configured to: acquire combustion parameters and kinetic parameters of the plasma ignition simulation process;

[0035] A global sensitivity analysis module is configured to: divide the plasma ignition simulation process into plasma dynamics and combustion dynamics according to the reaction type, and perform a global sensitivity analysis based on the combustion parameters and the dynamics parameters;

[0036] The key material determination module is configured to: determine the key materials using a plasma thermochemical instability model and energy decomposition based on the results of the global sensitivity analysis;

[0037] The kinetic research module is configured to: process the key substances using an element-based plasma global flux model, obtain the global paths of the key substances and the kinetic effects of chemical reactions in different time periods, and then determine the fuel decomposition path and quantify the kinetic enhancement process of plasma ignition.

[0038] A third aspect of the present invention provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps of a simulation method considering energy conversion of a plasma ignition system as described in the first aspect of the present invention.

[0039] The fourth aspect of the present invention provides an electronic device, comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in a simulation method considering energy conversion of a plasma ignition system as described in the first aspect of the present invention are implemented.

[0040] One or more of the above technical solutions have the following beneficial effects:

[0041] (1) The present invention can determine the decisive factors of the PAC ignition process through global sensitivity analysis, coupled plasma dynamics and combustion dynamics effects, and provide important reaction types that affect ignition delay, providing a research scope for the plasma thermochemical instability model; using the plasma thermochemical instability model and energy decomposition to determine key substances, it is possible to distinguish the effects of plasma dynamics and combustion dynamics in the PAC ignition process and determine the energy transfer between plasma discharges; based on the element-based plasma global path analysis model, the kinetic study of the plasma enhancement law is realized, which can find the fuel decomposition path in the early stage of the PAC ignition process, quantify the kinetic enhancement process of plasma ignition, and identify the cyclic process including energy relaxation and rapid gas heating effects.

[0042] (2) The simulation method provided by the present invention can focus on the combustion state transition and energy conversion between plasma systems and the coupling relationship between plasma and ground-state free radicals, completely solving the difficulty of explaining the plasma enhanced ignition law and promoting the further application of PAC technology.

[0043] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0045] Figure 1 This is a flow chart of the method of the first embodiment.

[0046] Figure 2 It is a system structure diagram of the second embodiment. DETAILED DESCRIPTION

[0047] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0048] It should be noted that the terms used herein are for describing specific embodiments only and are not intended to be limiting of exemplary embodiments according to the present invention.

[0049] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0050] Embodiment 1

[0051] This embodiment discloses a simulation method that takes into account the energy conversion of a plasma ignition system;

[0052] like Figure 1 As shown, a simulation method considering energy conversion of a plasma ignition system includes:

[0053] Step S1, obtaining combustion parameters and kinetic parameters of a plasma ignition simulation process;

[0054] By obtaining the calculation results of the plasma ignition coupling solver ZDPLASKIN-CHEMKI N, the calculation results include kinetic parameters such as the stoichiometric coefficient matrix, material element matrix and reaction rate matrix in the ignition simulation process, as well as combustion parameters such as material concentration, chemical potential and gas temperature at different times.

[0055] Step S2, classifying plasma dynamics and combustion dynamics according to reaction types, and performing global sensitivity analysis based on combustion parameters and dynamic parameters;

[0056] Step S21, plasma dynamics and combustion dynamics are classified indiscriminately according to reaction type, and each reaction category includes one or more reaction quantities to reduce large-scale sensitivity analysis. According to the classification results of reaction types, the ignition delay time is used as the objective function, and the importance of chemical reaction rate constants is ranked according to the average impact of chemical reaction rate constants on the ignition delay output of the plasma ignition simulation process and the coupling relationship between chemical reaction rate constants. The formula is:

[0057]

[0058] Where, d ij (x) represents the influence of chemical reaction rate constant j on output parameter i, which is the influence of disturbance factor on ignition delay time. Δ is the disturbance variable, which is taken as 1 / 5 of the rate; x is the chemical reaction rate constant; y is the ignition delay time.

[0059] Step S22, using the reaction rate as an input variable, j The uncertainty range is discretized, and the result of discretization is:

[0060] x j =0,1 / (p-1),2 / (p-1),…,1

[0061] Where p is a discrete parameter that determines the number of discretes. Once p is determined, the reaction rate of each reaction category is changed in turn by the disturbance variable Δ to obtain the ignition delay time of each category. The value of Δ is 1 / (p-1).

[0062] Step S23, after k discrete parameter calculations, weighted average and normalization processing are performed on the target ignition delay time, such as formula:

[0063]

[0064] Where k is the number of discretized rate changes, is the average ignition delay time, S i is the normalized ignition delay time. S i The effect of each reaction type on the ignition delay can be characterized. i When S is infinite, this type of reaction has a decisive effect on the ignition system; i is the timing, to reduce ignition delay; S i When it is negative, it increases the ignition delay.

[0065] The global sensitivity analysis can be used to obtain the reaction categories that determine whether plasma ignition is successful and the reaction categories that affect the ignition delay.

[0066] Step S3, according to the results of the global sensitivity analysis, the key substances are determined using the plasma thermochemical instability model and energy decomposition;

[0067] The analysis results of global sensitivity will serve as reference data for plasma thermochemical instability and energy conversion analysis.

[0068] The plasma thermochemical instability model uses computational singular perturbation theory to analyze the instability of plasma thermochemistry, distinguishing the kinetic effect and energy conversion of plasma in the ignition system, and the energy conversion range will be applied to energy analysis;

[0069] Mathematically, the transition and critical conditions driven by plasma thermochemical instabilities are equivalent to system stability analysis, which can be described using computational singular perturbation (CSP) theory. The calculation steps are as follows:

[0070] (1) For a zero-dimensional homogeneous chemical reaction system, a linear ordinary differential equation (ODE) is used to construct the conservation of matter and energy of the plasma (without considering diffusion and mass transfer):

[0071]

[0072] Among them, g(w) is the chemical source term, and w is a set of N-dimensional column vectors, representing the independent variables of nonlinear coupling in the objective function (molar fraction of the substance and system temperature).

[0073] (2) The linear space of chemical source terms is described using the chain rule, as follows:

[0074]

[0075] Where J is the Jacobian matrix of the chemical source term.

[0076] (3) According to the explanation of the stability of linear systems by Lyapunov stability theory, the thermochemical instability state of the plasma in the system is equivalent to the solution of the eigenvalue of the transient chemical Jacobian matrix, that is:

[0077] Re(λ exp )>0

[0078] Among them, λ exp is the complex solution of the Jacobian matrix, usually representing an oscillatory chemical mode. exp The real part of corresponds to the inverse time scale of the unstable state, and the imaginary part represents the oscillation frequency.

[0079] The thermochemical instability analysis model is used to determine whether the plasma ignition system is successfully ignited, and to capture the combustion state of the ignition system during the pulse discharge and pulse interval. Furthermore, the thermochemical instability analysis can also distinguish the kinetic effect and energy conversion of the plasma in the ignition system, and the energy conversion range will be used for energy analysis.

[0080] Energy analysis based on energy decomposition is to classify the energy branches of each substance into four categories according to the characteristics of the reaction substances, namely: electronic species, vibration excited species, ions and neutral species. They are obtained through chemical potential, such as the formula:

[0081]

[0082] In the formula, Q is the chemical internal energy of the substance; k is the chemical potential of k substances, [N k ] is the number density of k species. Energy analysis will distinguish the energy conversion process during pulse discharge and between pulse intervals. Combining the changes of substances in this range will determine the key substances that affect energy conversion. Key substances refer to active free radicals, such as OH, O and H, which will be used as the end point of kinetic screening.

[0083] Step S4, using an element-based plasma global flux model to process the key substances, and determine the specific global pathways and kinetic effects of chemical reactions in different time periods.

[0084] In this embodiment, different from conventional kinetic studies, an element-based plasma global flux model is proposed for the plasma ignition system in combination with a depth-first search (DFS) algorithm to process key substances.

[0085] Step S41, using a depth-first search algorithm to calculate all path nodes and corresponding cycle paths of key substances;

[0086] Step S42, describe the transformation relationship between key substances by constructing element flux diagrams; for each element considered (e.g., N, H, and O), a separate element flux diagram is constructed. The nodes of these diagrams are substances, and the directed edge from the i-th node to the j-th node is the element flux from the i-th species to the j-th species. Its physical meaning is the net generation amount (cm) of element atoms transferred from the i-th species to the j-th species in all possible elementary reactions r. -3 ). Mathematically, the value of the edge is as follows:

[0087]

[0088] Among them, A e,i→j is the net amount of element generated from substance i to substance j, a e,r,i→j is the reaction rate of substance i to element e in substance j in the rth reaction, and T is the time specified for the calculation. Here, a e,r,i→j The calculation formula is as follows:

[0089]

[0090] Among them, S j and S i are the stoichiometric coefficients of substance j and substance i in the chemical reaction, G e,j It's G e,i are the number of element e in substance j and substance i, respectively, and R r is the rate of the rth chemical reaction. For example, for the reaction 2OH<=>H 2 O+O, for OH to H 2 The amount of O element transferred from O is (1×1 / (2×1)×R r ).

[0091] Step S43, normalize the reaction flux to distinguish the conversion size of the key substance, such as the formula:

[0092]

[0093] Where D e,r,i→j is the normalization coefficient, A e,r,i→j is the flux of element e from substance i to substance j in the rth reaction, and D crit is the set flux threshold. The smaller the flux threshold, the more material transformation processes are screened, and the corresponding calculation time is longer. The screening of N elements should be fixed at 1e -4 and smaller, the screening of O elements is fixed at 1e -3and smaller, while the screening of H elements is fixed at 1e -4 And smaller. Select the appropriate flux threshold according to the required calculation time point.

[0094] Step S44, calculating the contribution rate of the reaction to the material conversion, determining the specific global path and the kinetic effect of the chemical reaction in different time periods based on the contribution rate, and then determining the fuel decomposition path, and quantifying the kinetic enhancement process of plasma ignition;

[0095] Reaction refers to the chemical reaction that generates the substance, including plasma reaction and combustion kinetic reaction. The contribution rate of each reaction to substance i to substance j is calculated as:

[0096]

[0097] Among them, Rc is the reaction contribution rate, R i→j Contains the number of all reactions from substance i to substance j. Once the path flux screening is completed, the specific global path and the kinetic effects of the chemical reaction at different time periods can be determined. This process will take into account both plasma kinetics and combustion kinetics.

[0098] Determining the global pathways allows us to identify the processes that generate key species, such as OH. This approach allows us to identify the important transformation processes, or pathways, that drive PACs. In addition, the global pathways can screen for cyclic processes that are important for early fuel oxidation in PACs, such as energy relaxation and rapid gas heating.

[0099] Embodiment 2

[0100] This embodiment discloses a research system that considers the energy conversion of a plasma ignition system;

[0101] like Figure 2 As shown, a research system considering energy conversion of a plasma ignition system comprises:

[0102] The parameter acquisition module is configured to: acquire combustion parameters and kinetic parameters of the plasma ignition simulation process;

[0103] A global sensitivity analysis module is configured to: classify plasma dynamics and combustion dynamics according to reaction types, and perform global sensitivity analysis based on combustion parameters and dynamic parameters;

[0104] The key material determination module is configured to: determine the key materials using a plasma thermochemical instability model and energy decomposition based on the results of the global sensitivity analysis;

[0105] The kinetic study module is configured to process the key substances using an element-based plasma global flux model to determine the specific global pathways and kinetic effects of chemical reactions at different time periods.

[0106] Embodiment 3

[0107] The purpose of this embodiment is to provide a computer-readable storage medium.

[0108] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a simulation method for considering energy conversion of a plasma ignition system as described in Example 1.

[0109] Embodiment 4

[0110] The purpose of this embodiment is to provide an electronic device.

[0111] An electronic device comprises a memory, a processor and a program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in a simulation method considering energy conversion of a plasma ignition system as described in Example 1 are implemented.

[0112] The steps involved in the apparatuses of the above embodiments 2, 3 and 4 correspond to the method embodiment 1, and the specific implementation methods can refer to the relevant description part of embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood to include any medium that can store, encode or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0113] Those skilled in the art should understand that the modules or steps of the present invention described above can be implemented by a general-purpose computer device, or alternatively, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.

[0114] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A simulation method considering energy conversion of a plasma ignition system, characterized in that: include: Obtain the combustion parameters and kinetic parameters of the plasma ignition simulation process; The plasma ignition simulation process is divided into plasma dynamics and combustion dynamics according to the reaction type, and a global sensitivity analysis is performed based on the combustion parameters and dynamic parameters. Based on the results of the global sensitivity analysis, the plasma thermochemical instability model and energy decomposition were used to identify the key species; The key substances are processed using an element-based plasma global flux model to obtain the global pathways of the key substances and the kinetic effects of chemical reactions at different time periods, thereby determining the fuel decomposition pathway and quantifying the kinetic enhancement process of plasma ignition.

2. A simulation method considering energy conversion of a plasma ignition system as claimed in claim 1, characterized in that: The combustion parameters and kinetic parameters are obtained according to the calculation results of the plasma ignition coupling solver; wherein the combustion parameters include substance concentration, chemical potential, and gas temperature; and the kinetic parameters include a stoichiometric coefficient matrix, a substance element matrix, and a reaction rate matrix.

3. A simulation method considering energy conversion of a plasma ignition system as claimed in claim 1, characterized in that: The process of performing global sensitivity analysis based on combustion parameters and kinetic parameters is as follows: According to the classification results of reaction types, the ignition delay time is used as the objective function, and the importance of chemical reaction rate constants is ranked according to their average influence on the output of plasma ignition simulation process and the coupling relationship between chemical reaction rate constants; Taking the reaction rate as the input variable, j The uncertainty range is discretized to determine the discrete number; the reaction rate of each reaction category is changed in turn by the disturbance variable to obtain the ignition delay time of each category; The target ignition delay time is weighted averaged and normalized to obtain the analysis result of global sensitivity.

4. A simulation method considering energy conversion of a plasma ignition system as claimed in claim 1, characterized in that: According to the results of the global sensitivity analysis, the process of determining the key substances using the plasma thermochemical instability model and energy decomposition is as follows: The analysis results of global sensitivity are used as reference data for plasma thermochemical instability and energy conversion analysis; The plasma thermochemical instability model uses computational singular perturbation theory to analyze the instability of plasma thermochemistry, distinguishing the kinetic effect and energy conversion of plasma in the ignition system, and the energy conversion range will be applied to energy analysis; The energy analysis adopts the energy decomposition method to distinguish the energy conversion process during the pulse discharge and between the pulse intervals, and determines the key substances that affect the energy conversion in combination with the changes of substances in this range.

5. A simulation method considering energy conversion of a plasma ignition system as claimed in claim 4, characterized in that: The key substance is an active free radical.

6. A simulation method considering energy conversion of a plasma ignition system as claimed in claim 1, characterized in that: The process of processing the key substances using the element-based plasma global flux model to determine the specific global pathways and kinetic effects of chemical reactions at different time periods is as follows: The element-based plasma global flux model uses a depth-first search algorithm to calculate all path nodes and corresponding cycle paths of key species; By constructing an element flux diagram to describe the transformation relationship between key substances; The reaction flux was normalized to distinguish the transformation size of key substances; Calculate the contribution rate of the reaction to the material transformation, and determine the specific global path and the kinetic effect of the chemical reaction in different time periods based on the contribution rate.

7. A simulation method considering energy conversion of a plasma ignition system as claimed in claim 6, characterized in that: The stated contribution rates are: Where Rc is the reaction contribution rate, R i→j Contains the number of all reactions from substance i to substance j; A e,r,i→j is the flux of element e from substance i to substance j in the rth reaction.

8. A research system considering energy conversion of plasma ignition system, characterized by: include: The parameter acquisition module is configured to: acquire combustion parameters and kinetic parameters of the plasma ignition simulation process; A global sensitivity analysis module is configured to: divide the plasma ignition simulation process into plasma dynamics and combustion dynamics according to the reaction type, and perform a global sensitivity analysis based on the combustion parameters and the dynamics parameters; The key material determination module is configured to: determine the key materials using a plasma thermochemical instability model and energy decomposition based on the results of the global sensitivity analysis; The kinetic research module is configured to: process the key substances using an element-based plasma global flux model, obtain the global paths of the key substances and the kinetic effects of chemical reactions in different time periods, and then determine the fuel decomposition path and quantify the kinetic enhancement process of plasma ignition.

9. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, the steps of a simulation method considering energy conversion of a plasma ignition system as described in any one of claims 1 to 7 are implemented.

10. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the simulation method considering energy conversion of a plasma ignition system as described in any one of claims 1 to 7 are implemented.

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