Air bearing supply system and control method

Abstract

The application relates to the technical field of generators, and provides an air-float bearing gas supply system and a control method. The air-float bearing gas supply system comprises a supercritical carbon dioxide compression-expansion integrated machine, a booster pump, a heater, a cooler, a regulating valve and a measuring device, the supercritical carbon dioxide compression-expansion integrated machine, the cooler, the booster pump and the heater are sequentially connected to form a circulating loop, the supercritical carbon dioxide compression-expansion integrated machine comprises an air-float bearing; the measuring device and the regulating valve are arranged in the circulating loop, and the measuring device is used for detecting the pressure and the temperature in the circulating loop. According to the target inlet pressure and the target outlet pressure of the air-float bearing, the opening degree of the regulating valve, the pressure boosting ratio of the booster pump and the heating power of the heater can be adjusted, so that the inlet pressure and the outlet pressure of the air-float bearing are optimal, the rapid regulation and control of the air-float bearing gas supply system are realized, and the safe and efficient operation of the supercritical carbon dioxide compression-expansion integrated machine is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of generator, in particular to a gas bearing gas supply system and control method. BACKGROUND

[0002] Supercritical carbon dioxide Brayton cycle has the characteristics of high power density and high thermal efficiency, and is an important development direction of micro power cycle. Gas bearing is the core equipment of supercritical carbon dioxide Brayton cycle system due to its high precision, low friction, effective isolation of vibration and clean and pollution-free advantages, and its dynamic characteristics are related to the operation reliability of the whole machine system.

[0003] The existing gas supply of gas bearing mostly uses compressed air as the gas source, and the gas works and then flows into the atmosphere again. However, for the coaxial system in which turbine, compressor and generator are sealed by a common shell, the gas used by the gas bearing needs to be consistent with the working medium of the thermodynamic cycle. Otherwise, the working medium of the gas bearing will pollute the working medium of the supercritical carbon dioxide Brayton cycle, which may lead to reduced cycle efficiency, frequent failures and equipment damage. Therefore, the gas bearing of the supercritical carbon dioxide Brayton cycle coaxial system needs to use carbon dioxide as the working medium. However, carbon dioxide may cause suffocation risk and cannot be discharged to the air, so the gas supply system needs to adopt closed circulation.

[0004] Due to the strong nonlinearity of the thermophysical properties of carbon dioxide near the critical point, the design and control of the closed circulation system are more difficult than the traditional gas cylinder gas supply, so it is urgent to invent a gas bearing gas supply system with complete functions and rapid regulation and control capability. SUMMARY

[0005] The present application provides a gas bearing gas supply system and control method to solve the defect of difficult control of the closed circulation system in the prior art.

[0006] The present application provides a gas bearing gas supply system, comprising: a supercritical carbon dioxide compression and expansion integrated machine, a booster pump, a heater, a cooler, a regulating valve and a measuring device, the supercritical carbon dioxide compression and expansion integrated machine, the cooler, the booster pump and the heater are connected in sequence to form a circulation loop, the supercritical carbon dioxide compression and expansion integrated machine comprises a gas bearing; the measuring device and the regulating valve are arranged in the circulation loop, the measuring device is used to detect the pressure and temperature in the circulation loop, and the opening degree of the regulating valve, the boost ratio of the booster pump and the heating power of the heater are adjusted to adjust the inlet pressure and outlet pressure of the gas bearing.

[0007] According to the gas bearing gas supply system provided by the present application, a controller is further included, and the controller is electrically connected with the regulating valve.

[0008] The supercritical carbon dioxide compression and expansion integrated machine further comprises a shell, a compressor, a generator and a turbine, the air floating bearing comprises a first air floating bearing and a second air floating bearing, the compressor, the generator, the turbine, the first air floating bearing and the second air floating bearing are arranged in the shell, the compressor, the generator and the turbine are coaxially connected, and the first air floating bearing and the second air floating bearing are arranged on the two sides of the generator respectively.

[0009] The measuring device comprises a plurality of gas flow sensors, and the plurality of gas flow sensors are arranged on the two sides of the first air floating bearing and the two sides of the second air floating bearing respectively.

[0010] The measuring device further comprises a plurality of temperature sensors, and the temperature sensors are arranged on the heater and the cooler.

[0011] The measuring device further comprises a plurality of pressure sensors, and the plurality of pressure sensors are arranged on the two sides of the booster pump, the two sides of the first air floating bearing and the two sides of the second air floating bearing respectively.

[0012] The application further provides a control method based on the air floating bearing gas supply system, comprising: establishing a first sampling space, obtaining a first parameter of the air floating bearing gas supply system in the first sampling space, and establishing a first target function value vector; taking the first parameter as an input value, taking the first target function value vector as an output value, adopting a Kriging surrogate model, and establishing a mapping relationship; calculating an expected improvement function, determining a second parameter based on the expected improvement function, and calculating an optimization target value.

[0013] The control method further comprises: adding the second parameter to the first sampling space to obtain a second sampling space; adding the optimization target value to the first target function value vector to obtain a second target function value vector; taking the second parameter as an input value, taking the second target function value vector as an output value, adopting a Kriging surrogate model, and establishing a mapping relationship; and calculating an expected improvement function again, and iteratively optimizing until the parameter of the air floating bearing gas supply system corresponding to the optimal target function value vector is obtained.

[0014] According to the control method provided by the application, the step of establishing the first sampling space and obtaining the first parameter of the gas bearing gas supply system under the first sampling space and establishing the first target function value vector further comprises: generating the first sampling space with a plurality of samples by using Chebyshev zero space, and obtaining the first parameter by using a numerical simulation method for each sample in the first sampling space, wherein the first parameter comprises: the opening degree of the adjusting valve, the pressure increasing ratio of the pressure increasing pump and the heating power of the heater; and the first target function value is established based on the inlet pressure and the outlet pressure of the gas bearing.

[0015] According to the control method provided by the application, the step of calculating the expected lifting function and determining the second parameter based on the expected lifting function further comprises: optimizing the expected lifting function by using a stochastic gradient descent method, and selecting the opening degree of the adjusting valve, the pressure increasing ratio of the pressure increasing pump and the heating power of the heater with the maximum expected lifting function as the second parameter.

[0016] The gas bearing gas supply system provided by the application can adjust the opening degree of the adjusting valve, the pressure increasing ratio of the pressure increasing pump and the heating power of the heater according to the target inlet pressure and the target outlet pressure of the gas bearing, so that the inlet pressure and the outlet pressure of the gas bearing are optimal, the rapid regulation and control of the gas bearing gas supply system are realized, and the safe and efficient operation of the supercritical carbon dioxide compression and expansion integrated machine is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0018] Figure 1 Fig. 1 is a structural schematic diagram of the gas bearing gas supply system provided by the application.

[0019] Reference signs:

[0020] 11, compressor; 12, generator; 13, turbine; 14, first gas bearing; 15, second gas bearing; 21, first adjusting valve; 22, second adjusting valve; 30, heater; 40, pressure increasing pump; 50, cooler; 60, measuring device. DETAILED DESCRIPTION

[0021] ​In order to make the objects, technical solutions and advantages of the present application clearer, the following will be combined with the accompanying drawings for the technical solutions in the present application to make a clear and complete description. Obviously, the described embodiments are a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0022] The following will be combined with the accompanying drawings for the technical solutions in the present application to make a clear and complete description. Obviously, the described embodiments are a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application. Figure 1 The air bearing gas supply system and control method of the present application are described.

[0023] As shown in the embodiments of the present application, the air bearing gas supply system comprises a supercritical carbon dioxide compression-expansion integrated machine, a regulating valve, a heater 30, a booster pump 40, a cooler 50 and a measuring device 60. The supercritical carbon dioxide compression-expansion integrated machine, the cooler 50, the booster pump 40 and the heater 30 are connected in sequence to form a circulation loop, and the supercritical carbon dioxide compression-expansion integrated machine comprises an air bearing. The measuring device 60 and the regulating valve are arranged in the circulation loop, the measuring device 60 is used to detect the pressure and temperature in the circulation loop, and the opening degree of the regulating valve, the boost ratio of the booster pump 40 and the heating power of the heater 30 are adjusted to regulate the inlet pressure and outlet pressure of the air bearing. Figure 1 Specifically, after passing through the air bearing, the temperature and pressure of the carbon dioxide are reduced. After the carbon dioxide flows out of the air bearing, it is first cooled by the cooler 50 to prevent the carbon dioxide working medium from being too high in temperature and causing the booster pump 40 to malfunction after entering the booster pump 40. After being cooled, the carbon dioxide working medium is pressurized by the booster pump 40 and then enters the heater 30 to be heated, so that the temperature of the carbon dioxide working medium is increased. If the temperature of the carbon dioxide working medium is not high enough, the carbon dioxide may further decrease in temperature after flowing out of the air bearing, become non-supercritical state, and cause the dynamic characteristics of the supercritical carbon dioxide compression-expansion integrated machine to be unstable.

[0024] The regulating valve is used to regulate the flow and pressure of the carbon dioxide working medium entering the air bearing. The measuring device 60 is used to detect the pressure and temperature in the circulation loop to control the opening degree of the regulating valve, the boost ratio of the booster pump 40 and the heating power of the heater 30 according to the pressure and temperature, so that the inlet pressure and outlet pressure of the air bearing are optimized to enable the supercritical carbon dioxide compression-expansion integrated machine to work safely and efficiently.

[0025]

[0026] ​The air supply system of the air floating bearing provided by the embodiment of the present application can adjust the opening degree of the regulating valve, the pressure increasing ratio of the pressure increasing pump and the heating power of the heater according to the target inlet pressure and the target outlet pressure of the air floating bearing, so that the inlet pressure and the outlet pressure of the air floating bearing are optimal, the air supply system of the air floating bearing is quickly regulated and controlled, and the supercritical carbon dioxide compression-expansion integrated machine is ensured to operate safely and efficiently.

[0027] In the embodiment of the present application, the air floating bearing power supply system further comprises a controller electrically connected with the regulating valve, and the controller is configured to control the opening degree of the valve core of the regulating valve according to the optimal values of the inlet pressure and the outlet pressure of the air floating bearing. In the embodiment, the controller can be connected with the regulating valve through wires or through wireless signal communication to realize remote control.

[0028] As shown in Figure 1 In the embodiment of the present application, the supercritical carbon dioxide compression-expansion integrated machine further comprises a housing, a compressor 11, a generator 12 and a turbine 13. The air floating bearing comprises a first air floating bearing 14 and a second air floating bearing 15, and the compressor 11, the generator 12, the turbine 13, the first air floating bearing 14 and the second air floating bearing 15 are arranged in the housing. The compressor 11, the generator 12 and the turbine 13 are coaxially connected to form a co-axial rotor structure, and the rotational speeds of the compressor 11, the generator 12 and the turbine 13 are the same. The first air floating bearing 14 and the second air floating bearing 15 are arranged on the two sides of the generator 12 to provide support for the co-axial rotor structure. In addition, the first air floating bearing 14 and the second air floating bearing 15 can also balance the unbalanced thrust of the co-axial rotor structure in the axial direction.

[0029] Further, the regulating valve comprises a first regulating valve 21 and a second regulating valve 22, the first regulating valve 21 is connected with the first air floating bearing 14, and the second regulating valve 22 is connected with the second air floating bearing 15. The opening degree of the first regulating valve 21 can be adjusted to regulate the flow rate and the pressure of the carbon dioxide working medium entering the first air floating bearing 14. The opening degree of the second regulating valve 22 can be adjusted to regulate the flow rate and the pressure of the carbon dioxide working medium entering the second air floating bearing 15.

[0030] As shown in Figure 1 In the embodiment of the present application, the measuring device 60 comprises a plurality of gas flow sensors, and the plurality of gas flow sensors are arranged on the inlet side and the outlet side of the first air floating bearing 14 and on the inlet side and the outlet side of the second air floating bearing 15 to detect the gas flow entering the first air floating bearing 14 and the second air floating bearing 15 and the gas flow flowing out of the first air floating bearing 14 and the second air floating bearing 15.

[0031] The measuring device 60 further comprises a plurality of temperature sensors, which are respectively arranged in the heater 30 and the cooler 50.

[0032] Specifically, the temperature sensors are used to detect the temperature of the gas in the heater 30, so as to ensure that the carbon dioxide working medium entering the first gas floating bearing 14 and the second gas floating bearing 15 has a high temperature and can be in a supercritical state. The temperature sensors are also used to detect the temperature of the carbon dioxide working medium in the cooler 50, so as to avoid that the temperature of the carbon dioxide flowing into the booster pump 40 is too high.

[0033] Optionally, in the embodiment of the present application, the cooler 50 can be a cooling plate, a water tank or the like.

[0034] The measuring device 60 further comprises a plurality of pressure sensors, which are respectively arranged on both sides of the booster pump 40, both sides of the first gas floating bearing 14 and both sides of the second gas floating bearing 15.

[0035] Specifically, the pressure sensors are arranged on both sides of the booster pump 40, so as to determine the pressure ratio of the booster pump 40. The pressure sensors are arranged on both sides of the first gas floating bearing 14 and the second gas floating bearing 15, so as to detect the inlet pressure and outlet pressure of the first gas floating bearing 14 and the inlet pressure and outlet pressure of the second gas floating bearing 15.

[0036] The embodiment of the present application further provides a control method based on a gas floating bearing gas supply system, which comprises the following steps:

[0037] Step 01: a first sampling space is established, a first parameter of the gas floating bearing gas supply system in the first sampling space is acquired, and a first target function value vector is established; Step 02: the first parameter is taken as an input value, the first target function value vector is taken as an output value, a Kriging surrogate model is adopted, and a mapping relationship is established; Step 03: an expected improvement function is calculated, a second parameter is determined based on the expected improvement function, and an optimization target value is calculated.

[0038] Specifically, the temperature of the cooler 50 greatly differs in different seasons. Considering that the thermophysical properties of the gas floating bearing gas supply system have strong nonlinearity near the critical point, in order to ensure the optimal performance of the gas floating bearing, the combination of the opening degrees of the first regulating valve 21 and the second regulating valve 22, the pressure ratio of the booster pump 40 and the heating power of the heater 30 needs to be optimized under different working conditions. The optimization method based on the surrogate model has the significant advantage of fast speed, and can realize the rapid formation of the optimal gas supply scheme under any working condition, i.e. the optimal configuration of the opening degrees of the first regulating valve 21 and the second regulating valve 22, the pressure ratio of the booster pump 40 and the heating power of the heater 30.

[0039] Specifically, the opening degrees of the first regulating valve 21 and the second regulating valve 22, the booster ratio of the booster pump 40, and the heating power of the heater 30 are used as the first parameters. The inlet and outlet pressures of the first air bearing 14 and the inlet and outlet pressures of the second air bearing 15 are used to establish the first objective function values, and the vector of all the first objective function values ​​constitutes the first objective function value vector. Using the first parameters as input values ​​and the first objective function value vector as output values, a Kriging surrogate model is used to establish a mapping relationship, calculate the expected improvement function, determine the second parameter based on the expected improvement function, and calculate the optimization target value. This optimization target value is the optimal value of the inlet and outlet pressures of the first air bearing 14 and the second air bearing 15 at the current cooler temperature of 50°C. The second parameter corresponding to this optimization target value is used as the parameter for the opening degrees of the first regulating valve 21 and the second regulating valve 22, the booster ratio of the booster pump 40, and the heating power of the heater 30.

[0040] The control method provided in this invention enables rapid regulation of the air supply system for the air bearing and ensures the safe and efficient operation of the supercritical carbon dioxide compression-expansion integrated machine.

[0041] Furthermore, the control method based on the air bearing air supply system also includes the following steps: adding the second parameter to the first sampling space to obtain the second sampling space; adding the optimized objective value to the first objective function value vector to obtain the second objective function value vector; using the second parameter as the input value and the second objective function value vector as the output value, and using a Kriging surrogate model to establish a mapping relationship; recalculating the expected improvement function, and iterating in this way until the parameters of the air bearing air supply system corresponding to the optimal objective function value vector are obtained.

[0042] Specifically, the optimized target value obtained after one calculation may not be the optimal target value. In this embodiment, through multiple calculations and iterative optimization, until the number of optimization iterations is greater than the maximum number of search steps, the parameters of the gas supply system corresponding to the optimized target value obtained at this time are the parameters of the optimal opening degree of the first regulating valve 21 and the second regulating valve 22, the booster ratio of the booster pump 40, and the heating power of the heater 30.

[0043] The control method provided by this invention is described in detail below:

[0044] To achieve rapid regulation of the air supply system under different seasons and cooler temperatures of 50°C, firstly, Chebyshev zero-point space generation with... In the first sampling space of a sample, for each sample in the first sampling space, numerical simulation is used to obtain the inlet and outlet pressures and temperatures of the first air bearing 14 and the second air bearing 15 under the corresponding parameter combinations. For the rapid adjustment of the air bearings, the opening degrees of the first regulating valve 21 and the second regulating valve 22 are adjusted. the pressure ratio of the booster pump 40 and the heating power of the heater 30 as input values. For simplicity of expression, the input values are denoted as a vector .

[0045] The output values of the numerical simulation are the inlet pressure , the outlet pressure of the first aerostatic bearing 14, the inlet pressure , the outlet pressure of the second aerostatic bearing 15. The purpose of the aerostatic bearing is to provide sufficient support force and balance thrust. Considering that the axial balance thrust of the aerostatic bearing is more difficult to achieve than the radial support force, the aerostatic bearing is required to balance the axial thrust during the optimization process. The objective function value can be defined as: , wherein is the effective radial support area of the first aerostatic bearing 14, is the effective thrust area of the first aerostatic bearing 14, is a penalty coefficient, which is generally a large number, is the axial thrust of the coaxial structure. Therefore, the optimization objective is to maximize the objective function value, and the purpose of setting the penalty coefficient is to constrain the ability of the aerostatic bearing to balance the axial thrust. The vector composed of the objective function values of all samples can be defined as the objective function value vector, and the first objective function value vector .

[0046] Taking the first objective function value vector as a Gaussian process, a Kriging surrogate model is established to map the input values and output values of the samples in the first sampling space, i.e.:

[0047] (1)

[0048] In the formula, is the adjustable input parameter composed of the opening of the first and second regulating valves, the pressure ratio of the booster pump, and the heating power of the heater, is the mean value of the Gaussian process, is the error term of the statistical process with a mean value of 0 and a variance of , which has uncertainty.

[0049] After establishing the Kriging surrogate model, the predicted value and the variance value of the unknown point estimated by the Kriging surrogate model can be expressed as:

[0050] (2)

[0051] In the formula, is a correlation coefficient matrix, is a vector composed of correlation coefficients, is a target function value vector, is a vector with all elements being 1, and are estimated values, which can be expressed as:

[0052] (3)

[0053] (4)

[0054] The expected improvement function is calculated, and the new sampling point, i.e., the second parameter, is determined according to the expected improvement function, and the optimization target value thereof is calculated.

[0055] Specifically, the expected improvement function is established based on the Kriging surrogate model, and the expression thereof is:

[0056] (5)

[0057] In the formula, and respectively represent the probability density function and the cumulative distribution function of the standard normal, represent the minimum value of the function. The random gradient descent method is used to optimize the expected improvement function, and the combination of the opening degrees of the first regulating valve 21 and the second regulating valve 22, the supercharging ratio of the supercharger 40, and the heating power of the heater 30 with the maximum expected improvement function is selected as the new sampling point, i.e., the second parameter.

[0058] The obtained new sampling point and the optimization target value obtained by simulation are added to the first sample space and the first target function value vector to form the second sample space and the second target function value vector, the Kriging surrogate model is established, the second parameter is taken as the input value, and the second target function value vector is taken as the output value, the mapping relationship is established by using the Kriging surrogate model, and the expected improvement function is calculated again. Repeat the iteration until the optimization iteration step number is greater than the maximum search step number, and obtain the combination of the opening degrees of the first regulating valve 21 and the second regulating valve 22, the supercharging ratio of the supercharger 40, and the heating power of the heater 30 with the optimal target function value.

[0059] When the air temperature outside the gas supply system changes significantly, the above steps can be used to realize the rapid switching of the optimal gas supply scheme, i.e., the rapid optimal configuration of the opening degrees of the first regulating valve 21 and the second regulating valve 22, the supercharging ratio of the supercharger 40, and the heating power of the heater 30.

[0060] It should be pointed out finally that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit the same; and although the present application has been described in detail with reference to the foregoing embodiments, it should be appreciated by those skilled in the art that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features thereof can be replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A gas foil bearing gas supply system characterized by, The supercritical carbon dioxide compression and expansion integrated machine, the cooler, the booster pump and the heater are sequentially connected to form a circulating loop, and the supercritical carbon dioxide compression and expansion integrated machine comprises an air floating bearing. The measuring device and the regulating valve are arranged in the circulating loop, the measuring device is used for detecting the pressure and temperature in the circulating loop, and the regulating valve is adjusted according to the target inlet pressure and target outlet pressure of the air floating bearing, so that the inlet pressure and outlet pressure of the air floating bearing can be adjusted. The controller is electrically connected with the regulating valve.

2. The gas foil bearing gas supply system of claim 1 wherein, The supercritical carbon dioxide compression and expansion integrated machine further comprises a shell, a compressor, a generator and a turbine, the air floating bearing comprises a first air floating bearing and a second air floating bearing, and the compressor, the generator, the turbine, the first air floating bearing and the second air floating bearing are arranged in the shell.

3. The gas foil bearing gas supply system of claim 1 wherein, The compressor, the generator and the turbine are coaxially connected, and the first air floating bearing and the second air floating bearing are arranged on the two sides of the generator respectively. The regulating valve comprises a first regulating valve and a second regulating valve, the first regulating valve is connected with the first air floating bearing, and the second regulating valve is connected with the second air floating bearing. The measuring device comprises a plurality of gas flow sensors, and the plurality of gas flow sensors are arranged on the two sides of the first air floating bearing and the two sides of the second air floating bearing respectively.

4. The gas foil bearing gas supply system of claim 3 wherein, The measuring device further comprises a plurality of temperature sensors, and the temperature sensors are arranged on the heater and the cooler.

5. The gas foil bearing gas supply system of claim 3 wherein, The measuring device further comprises a plurality of pressure sensors, and the plurality of pressure sensors are arranged on the two sides of the booster pump, the two sides of the first air floating bearing and the two sides of the second air floating bearing respectively.

6. The gas foil bearing gas supply system of any of claims 3-5, wherein, The first sampling space is established, the first parameters of the air floating bearing gas supply system under the first sampling space are obtained, and a first target function value vector is established.

7. A control method for the gas supply system of the gas bearing according to any one of claims 1 to 6, characterized in that, The first parameters are taken as input values, the first target function value vector is taken as output values, a Kriging surrogate model is used to establish a mapping relationship. An expected promotion function is calculated, the second parameters are determined based on the expected promotion function, and an optimization target value is calculated. The second parameters are added to the first sampling space to obtain a second sampling space. The optimization target value is added to the first target function value vector to obtain a second target function value vector.

8. The control method according to claim 7, characterized by, The second parameters are taken as input values, the second target function value vector is taken as output values, a Kriging surrogate model is used to establish a mapping relationship. The expected promotion function is calculated again, and the iteration optimization is performed until the parameters of the air floating bearing gas supply system corresponding to the optimal target function value vector are obtained. The step of establishing the first sampling space, obtaining the first parameters of the air floating bearing gas supply system under the first sampling space, and establishing the first target function value vector further comprises: ​ ​ 9. The control method according to claim 7, characterized by, ​ The first sampling space with n samples is generated by using Chebyshev zero space, and the first parameter is obtained by using a numerical simulation method for each sample in the first sampling space, wherein the first parameter includes an opening degree of the regulating valve, a supercharging ratio of the supercharger and a heating power of the heater; A first target function value is established based on the inlet pressure and the outlet pressure of the air floating bearing.

10. The control method according to claim 7, characterized by, The step of calculating the expected lifting function and determining the second parameter based on the expected lifting function further includes: The expected lifting function is optimized by using a stochastic gradient descent method, and the opening degree of the regulating valve, the supercharging ratio of the supercharger and the heating power of the heater with the maximum expected lifting function are selected as the second parameter.

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