Electronic oil pump rotating speed intelligent control system for new energy vehicle

Abstract

The invention discloses an electronic oil pump rotating speed intelligent control system for a new energy vehicle, which relates to the field of electronic oil pump rotating speed intelligent control and comprises a data acquisition module, a fuel oil module, a component module, a working condition module and an execution module. According to the method, the conversion-demand degree of the fuel oil of the oil pump of the new energy vehicle is obtained by evaluating the conversion-demand degree of the fuel oil of the oil pump through the physicochemical characteristics, the injection parameters, the combustion sequence characteristics, the electrical characteristics and the quality parameters of the fuel oil, and the conversion-demand degree of a fuel oil supply system is obtained by analyzing the working characteristics of the parts; performing automobile driving, running and battery state judgment analysis on the working condition information to obtain an automobile working condition turning-on-demand value, and performing automobile electronic oil pump rotating speed overall state analysis on the turning-on-demand degree of oil pump fuel, the turning-on-demand degree of a fuel supply system and the automobile working condition turning-on-demand value; the electronic oil pumps in different comprehensive states are matched with corresponding revolution values to work, the revolution speed of the electronic oil pumps can be accurately adjusted, and the energy consumption of the oil pumps is reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control of electronic oil pump speed, and in particular to an intelligent control system for an electronic oil pump speed for a new energy vehicle. Background Art

[0002] As the world continues to exploit non-renewable energy, leading to energy scarcity, attention has been paid to the sustainable development of energy. At the same time, the market share of new energy vehicles continues to increase. Oil pumps play an important role in new energy power systems. Traditional oil pumps can only run at a fixed speed and cannot be adjusted according to the vehicle status. The intelligent control system of electronic oil pump speed for new energy vehicles came into being.

[0003] When operating, the traditional intelligent control system of the electronic oil pump speed for new energy vehicles cannot accurately adjust the speed of the electronic oil pump according to different fuels, working conditions and component status, resulting in increased energy consumption of the oil pump, increased energy waste, increased wear and loss of the oil pump, and greatly reduced the service life of the oil pump.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] In order to solve the technical problems raised by the above background technology, the present invention is proposed. An embodiment of the present invention provides an intelligent control system for the speed of an electronic oil pump for a new energy vehicle.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An intelligent control system for the speed of an electronic oil pump for a new energy vehicle, comprising a data acquisition module, a fuel module, a component module, a working condition module and an execution module.

[0007] The data acquisition module is used to collect fuel information, component information and operating condition information, and send them to the fuel module, component module and operating condition module respectively;

[0008] The fuel module is used to evaluate the fuel transfer demand of the fuel pump of new energy vehicles through the physicochemical properties, injection parameters, combustion sequence characteristics, electrical characteristics and quality parameters of the fuel to obtain the fuel transfer demand of the fuel pump;

[0009] The component module is used to receive component information to analyze the working characteristics of components in the fuel supply system to obtain the transfer demand of the fuel supply system;

[0010] The operating condition module is used to receive the operating condition information to determine and analyze the driving, traveling, and battery status of the vehicle, and obtain the vehicle operating condition transfer value; the execution module is used to receive the transfer demand of the oil pump fuel, the transfer demand of the fuel supply system, and the vehicle operating condition transfer value, analyze the overall state of the vehicle's electronic oil pump speed, and match the corresponding speed values ​​for the electronic oil pumps in different comprehensive states to work.

[0011] Furthermore, the steps for analyzing the transfer demand of the fuel pump are as follows:

[0012] The fuel physicochemical calorific value, fuel injection level value, fuel combustion heat rate value, fuel electrical characteristic value and fuel quality value are normalized, and a sphere is constructed with the fuel quality value as the radius of the sphere. The center of the sphere is the center point of the cuboid, and a cuboid is constructed inside the sphere. The sum of the fuel physicochemical calorific value and the fuel injection level value is the long side of the bottom of the cuboid, the fuel combustion heat rate value is the wide side of the bottom of the cuboid, and the fuel electrical characteristic value is the height of the cuboid. The non-overlapping irregular volume formed by the sphere and the cuboid is identified and marked as the transfer demand YQZ of the fuel pump.

[0013] Furthermore, the analysis steps of fuel injection level value, fuel combustion heat rate value, fuel electrical characteristic value and fuel quality value are as follows:

[0014] The fuel injection parameters include the injection amount, injection pressure and injection pulse width, which are summed to obtain the fuel injection level value; the fuel combustion sequence characteristics refer to the fuel calorific value and the fuel combustion rate, which are summed to obtain the fuel combustion heat rate value; the electrical characteristics of the fuel refer to the fuel conductivity and resistivity, and the resistivity is divided by the conductivity and multiplied by the correction factor coefficient to obtain the fuel electrical characteristic value; the fuel quality parameters refer to the fuel impurity value, the fuel silicon content, and the fuel water content, which are summed to obtain the fuel quality abnormality value, and the fuel quality abnormality value is reciprocated to obtain the fuel quality value.

[0015] Furthermore, the steps for analyzing the physicochemical fuel value of fuel are as follows:

[0016] Put the fuel into the fuel chamber of the Reid vapor pressure tester. When the temperature of the fuel chamber is stabilized at a certain temperature, the vapor pressure at equilibrium is measured by the pressure sensor and marked as the fuel vapor value. The pump suction pressure is measured by the pressure sensor, and the ultrasonic flow meter obtains the flow rate of the fuel at the pump suction port, which are marked as ry and ls respectively. According to the formula yq = b1×ry 2 +b2×ls, and the effective cavitation margin yq of the fuel is obtained, where b1 and b2 are both set weight factor coefficients; the interface tension value of the fuel is obtained by inserting the intelligent sensor probe into the interface between the fuel and the air; the flash point of the fuel is measured by a closed cup flash point tester, and the ultraviolet light excites the fuel to generate sulfide, and the fluorescence intensity is detected by an ultraviolet fluorescence sulfur analyzer to obtain the sulfur content of the fuel;

[0017] The physicochemical properties of fuel are analyzed by calculating the fuel vapor fuel value, fuel interfacial tension value, fuel flash point, fuel sulfur content, fuel molecular structure fuel charge value Frc and fuel effective cavitation margin yq to obtain the fuel physicochemical fuel value Whz. Further, the fuel molecular structure fuel charge value analysis steps are as follows:

[0018] Step 4: After the fuel is vaporized, it is injected into the gas chromatograph. The helium and the fuel pass through the chromatographic column filled with silica gel, and the gas chromatogram is obtained through the detector. The hydrocarbons eluting at different times are analyzed. According to the short-chain and long-chain threshold intervals of the set reference elution time, when the elution time is in the short-chain threshold interval, the short-chain content value is obtained according to the peak area of ​​the corresponding elution time. When the elution time is in the long-chain threshold interval, the long-chain content value is obtained according to the peak area of ​​the corresponding elution time. The long-chain content value is divided by the short-chain content value and multiplied by the correction factor to obtain the chain hydrocarbon long combustion recharge value;

[0019] Step 5: Count the total peak area formed by the gas chromatogram obtained in step 4, and count the peak area less than a certain retention time and the peak area greater than a certain retention time, divide the peak area less than a certain retention time and the peak area greater than a certain retention time by the total peak area, respectively, to obtain the short peak proportion value and the long peak proportion value, add the short peak proportion value and the total peak area, subtract the long peak proportion value, and multiply by the correction factor coefficient to obtain the branched chain burning rate value;

[0020] Step 6: Count the hydrocarbons flowing out at each boiling point temperature, and count the peak area values ​​at the boiling point of 80-200 degrees and the boiling point of more than 300 degrees respectively, subtract the peak area value of the boiling point of more than 300 degrees from the peak area value of the boiling point of 80-200 degrees to obtain the number of mono-polyaromatic hydrocarbon rings, and multiply it by the correction factor coefficient to obtain the hydrocarbon ring number fuel value;

[0021] Step 7: Calculate the fuel molecular structure fuel value Frc by adding the chain hydrocarbon length fuel value, branch chain fuel rate value, hydrocarbon ring number fuel value and the functional group fuel value rc.

[0022] Further, the functional group fuel recharge analysis steps are as follows:

[0023] Step 1: Scan the fuel oil with an infrared spectrometer to obtain an infrared spectrum with a scanning range of 400-4000 wavenumbers;

[0024] Step 2: Obtain the transmittance of the stretching vibration absorption peak at the set wave number in the infrared spectrum, take the logarithm of the transmittance and then negate it, and multiply it by the correction factor coefficient value to obtain the mass fractions of hydroxyl, carbonyl, ether bond, thiol, sulfoxide, sulfone, amino, amide, and nitrile groups respectively;

[0025] Step 3: Sum the mass fractions of hydroxyl, carbonyl and ether bonds to obtain the mass fraction of oxygen-containing functional groups; sum the mass fractions of thiol, sulfoxide and sulfone groups to obtain the mass fraction of sulfur-containing functional groups; sum the mass fractions of amino, amide and nitrile groups to obtain the mass fraction of nitrogen-containing functional groups; calculate the functional group fuel value rc by combining the mass fractions of oxygen-containing functional groups, sulfur-containing functional groups and nitrogen-containing functional groups.

[0026] Furthermore, the steps of matching the electronic oil pumps in different comprehensive states with the corresponding speed values ​​for working analysis are as follows:

[0027] The fuel pump fuel demand YQZ, fuel supply system demand ZXZ, and vehicle operating condition demand value GXZ are weighted and multiplied by the corresponding proportional factor coefficient to obtain the vehicle's electronic fuel pump comprehensive demand value;

[0028] Set n electronic oil pump speed value intervals, and each electronic oil pump speed value corresponds to each interval, specifically G1(0, q1), G2(q1, q2), ..., Gn(qn-1, qn), G1, G2, ..., Gn respectively represent the segmented interval numbers of the electronic oil pump speed value, 0, q1, q2, ..., qn respectively represent the corresponding electronic oil pump speed values, and match the calculated vehicle's electronic oil pump comprehensive required speed value with the electronic oil pump speed value interval range. If the electronic oil pump comprehensive required speed value is within the value interval range, then the value interval range is marked as the adjusted electronic oil pump speed value, and the electronic oil pump works according to the adjusted electronic oil pump speed value control.

[0029] Furthermore, the steps for analyzing the working condition of the vehicle are as follows:

[0030] Obtain driving mode settings in the working condition information of new energy vehicles, specifically, competition mode, sports mode, off-road mode, hybrid mode, standard mode, economic mode, comfort mode and saving mode, and the corresponding oil pump speed demand values ​​are z1, z2, z3, z4, z5, z6, z7 and z8 respectively, and the values ​​of z1 to z8 decrease in sequence according to a certain same gradient, and the obtained mode speed demand value is marked as Z;

[0031] The actual capacity of the battery of the new energy vehicle is detected by a battery tester, and the battery capacity retention rate bc l is obtained by dividing it by the initial capacity. The power loss value of the battery in a certain period of time when it is not used is detected, which is marked as the battery self-discharge value dzz. The image of the active particles of the battery of the new energy vehicle is taken by an electron microscope, and the image is binarized to distinguish the particles from the background. The active material particles are white and the background is black. The number of pixels in the white area and the number of pixels in the black area are counted, and the number of pixels in the black area is divided by the number of pixels in the white area, and multiplied by the correction factor coefficient to obtain the battery active material shedding value dhz. The battery health correction coefficient λ is obtained by analysis, and τ is the set correction factor coefficient. The remaining power value of the vehicle battery is obtained, and the value of the vehicle battery health status is obtained by multiplying it by the battery health correction coefficient.

[0032] Obtain the road surface friction coefficient, vehicle attitude angle change value, vehicle dispersion value, driving acceleration and driving speed in the working condition information of new energy vehicles, and sum them up to obtain the road vehicle value;

[0033] The vehicle battery health status value and road driving value are marked as jkz and dxd respectively, and are normalized with the mode speed demand value Z. According to the set formula GXZ=δ×(Z+dxd) / jkz, the vehicle operating condition speed demand value GXZ is obtained, where δ is the set correction factor coefficient.

[0034] Furthermore, the transfer demand analysis steps of the fuel supply system are as follows:

[0035] Take the pipeline noise value, pipeline internal roughness, electronic oil pump resonance frequency, oil pump heat dissipation efficiency value and filter filtration accuracy from the vehicle fuel supply system component information, mark them as gl b, gnc, dyg, yns and lqg respectively, and perform normalization processing. According to the set formula

[0036]

[0037] The calculation is performed to obtain the required degree ZXZ of the fuel supply system, where w1, w2, w3, w4 and w5 are the preset weight coefficients of the pipeline noise value, pipeline internal roughness, electronic oil pump resonance frequency, oil pump heat dissipation efficiency and filter filtration accuracy. Further, the steps for analyzing the resonance frequency of the electronic oil pump are as follows:

[0038] An acceleration sensor is installed on the housing of the electronic oil pump, and the collected signal is transformed into a frequency domain signal through fast Fourier transform. The frequency is used as the horizontal coordinate and the vibration acceleration amplitude is used as the vertical coordinate to establish a vibration acceleration amplitude curve. The maximum vibration acceleration amplitude in the curve is obtained, marked as Zfz, and the frequency value corresponding to the maximum amplitude is obtained, marked as Pl z. According to the set formula The resonance frequency amplitude Dzz of the electronic oil pump is obtained, where h1 and h2 are both set weight factor coefficients, H1 is the minimum value of the normal working frequency range of the oil pump, and H2 is the maximum value of the normal working frequency range of the oil pump.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1. The present invention evaluates the transfer demand of the fuel of the oil pump of the new energy vehicle through the physicochemical properties, injection parameters, combustion sequence characteristics, electrical characteristics and quality parameters of the fuel to obtain the transfer demand of the fuel pump fuel, analyzes the working characteristics of the components in the fuel supply system of the component information to obtain the transfer demand of the fuel supply system, and analyzes the driving, running and battery status of the vehicle on the working condition information to obtain the vehicle working condition transfer demand value, which can comprehensively consider different fuels, working conditions and component states to ensure the accuracy of recognition.

[0041] 2. The present invention analyzes the overall state of the vehicle's electronic oil pump speed by analyzing the speed demand of the oil pump fuel, the speed demand of the fuel supply system and the vehicle operating condition speed demand value, and matches the electronic oil pumps in different comprehensive states with corresponding speed values ​​to work, thereby accurately adjusting the speed of the electronic oil pump, reducing the energy consumption of the oil pump, reducing energy waste, reducing the wear and loss of the oil pump, and greatly increasing the service life of the oil pump. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled according to the actual sizes, and the focus is on illustrating the main purpose of the present invention. Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0044] like Figure 1 As shown, an intelligent control system for the speed of an electronic oil pump for a new energy vehicle includes a data acquisition module, a fuel module, a component module, a working condition module and an execution module.

[0045] The data acquisition module is used to collect fuel information, component information and operating condition information, and send them to the fuel module, component module and operating condition module respectively.

[0046] The fuel module is used to evaluate the fuel transfer demand of the fuel pump of new energy vehicles through the physicochemical properties, injection parameters, combustion sequence characteristics, electrical characteristics and quality parameters of the fuel to obtain the fuel transfer demand of the fuel pump. The specific analysis is as follows:

[0047] The steps to solve the fuel molecular structure fuel value are as follows:

[0048] Step 1: Scan the fuel oil with an infrared spectrometer to obtain an infrared spectrum with a scanning range of 400-4000 wavenumbers;

[0049] Step 2: Obtain the transmittance of the stretching vibration absorption peaks at 3200-3650, 1700-1750, 1060-1150, 2550-2590, 1000-1100, 1300-1350, 3100-3500, 1630-1680, and 2222-2260 wavenumbers in the infrared spectrum, and take the logarithm of the transmittance and then take the negative treatment, and multiply it by the correction factor coefficient value to obtain the mass fractions of hydroxyl, carbonyl, ether bond, thiol, sulfoxide, sulfone, amino, amide, and nitrile respectively;

[0050] Step 3: sum the mass fractions of hydroxyl, carbonyl and ether bonds to obtain the mass fraction of oxygen-containing functional groups, sum the mass fractions of thiol, sulfoxide and sulfone to obtain the mass fraction of sulfur-containing functional groups, sum the mass fractions of amino, amide and nitrile to obtain the mass fraction of nitrogen-containing functional groups, mark the mass fraction of oxygen-containing functional groups, the mass fraction of sulfur-containing functional groups and the mass fraction of nitrogen-containing functional groups as yf, sz and dz, respectively, and calculate the functional group charge value rc according to the formula rc=υ×a1×yf / (a2×sz+a3×dz), where a1, a2 and a3 are all set influencing factor coefficients used to improve the accuracy of the calculation, υ is the correction factor coefficient, and the specific value is determined by personnel in this professional field;

[0051] Step 4: After the fuel is vaporized, it is injected into the gas chromatograph. The helium and the fuel pass through the chromatographic column filled with silica gel, and the gas chromatogram is obtained through the detector. The hydrocarbons eluting at different times are analyzed. According to the short-chain and long-chain threshold intervals of the set reference elution time, when the elution time is in the short-chain threshold interval, the short-chain content value is obtained according to the peak area of ​​the corresponding elution time. When the elution time is in the long-chain threshold interval, the long-chain content value is obtained according to the peak area of ​​the corresponding elution time. The long-chain content value is divided by the short-chain content value and multiplied by the correction factor to obtain the chain hydrocarbon long combustion recharge value;

[0052] Step 5: Count the total peak area formed by the gas chromatogram obtained in step 4, and count the peak area less than a certain retention time and the peak area greater than a certain retention time, divide the peak area less than a certain retention time and the peak area greater than a certain retention time by the total peak area, respectively, to obtain the short peak proportion value and the long peak proportion value, add the short peak proportion value and the total peak area, subtract the long peak proportion value, and multiply by the correction factor coefficient to obtain the branched chain burning rate value. It should be noted that the larger the peak area proportion of the short retention time, the more branches the fuel has, the smaller the combustion resistance, and the faster the combustion speed;

[0053] Step 6: Count the hydrocarbons flowing out at each boiling point temperature, and count the peak area values ​​at boiling points of 80-200 degrees and above 300 degrees respectively. Subtract the peak area value of boiling points above 300 degrees from the peak area value of boiling points of 80-200 degrees to obtain the number of mono-polyaromatic hydrocarbon rings, and multiply it by the correction factor coefficient to obtain the hydrocarbon ring number fuel value. It should be noted that when the temperature of the flowing hydrocarbons is lower, the proportion of monoaromatic hydrocarbons is higher, and the fuel burns more fully;

[0054] Step 7: Mark the chain hydrocarbon length combustion value, branch chain combustion rate value, and hydrocarbon ring number combustion value as cr, zr, and jh, respectively, and normalize them with the functional group combustion value rc. According to the set formula The fuel molecular structure fuel charge value Frc is calculated, where g1, g2, g3 and g4 are the set correction factor coefficients of the chain hydrocarbon length fuel charge value, the branch chain burning rate value, the hydrocarbon ring number fuel charge value and the functional group fuel charge value, respectively, to improve the accuracy of the calculation results, and the specific values ​​are 1.021, 1.525, 3.314 and 1.011 respectively;

[0055] Put the fuel into the fuel chamber of the Reid vapor pressure tester. When the temperature of the fuel chamber is stabilized at a certain temperature, the vapor pressure at equilibrium is measured by the pressure sensor and marked as the fuel vapor value. The pump suction pressure is measured by the pressure sensor, and the ultrasonic flow meter obtains the flow rate of the fuel at the pump suction port, which are marked as ry and ls respectively. According to the formula yq = b1×ry 2 +b2×ls, the effective cavitation margin yq of the fuel is obtained, b1 and b2 are both set weight factor coefficients; the interface tension value of the fuel is obtained by inserting the intelligent sensor probe into the interface contact between the fuel and the air; the flash point of the fuel is measured by a closed cup flash point tester, and the ultraviolet light excites the fuel to generate sulfide, and the fluorescence intensity is detected by an ultraviolet fluorescence sulfur analyzer to obtain the sulfur content of the fuel; it should be noted that the higher the flash point of the fuel, the lower the atomization of the fuel, the lower the efficiency, and the higher the sulfur content of the fuel, the greater the corrosion effect on the engine, and the oil pump speed needs to be increased to improve the combustion efficiency;

[0056] The physical and chemical characteristics of fuel are analyzed by marking the fuel vapor value, fuel interfacial tension value, fuel flash point, and fuel sulfur content as Rz, Jz, Sd, and Rs, respectively, and normalizing them with the fuel molecular structure fuel charge value Frc and the fuel effective cavitation margin yq. The calculation is performed to obtain the fuel physicochemical fuel value Whz, where f1, f2, f3, f4, f5 and f6 are respectively the weight factor coefficients of the fuel vapor fuel value, the fuel interfacial tension value, the fuel flash point, the fuel sulfur content, the fuel molecular structure fuel value and the effective cavitation margin of the fuel. The specific values ​​are determined by personnel in this professional field. ρ is the correction factor coefficient, and the specific value is 2.12; the fuel injection parameters include the injection amount, the injection pressure and the injection pulse width, and the fuel injection level value is obtained by summing them up; the combustion sequence characteristics of the fuel refer to the fuel calorific value and the fuel combustion speed, which are summed to obtain the fuel combustion heat rate value, where the fuel calorific value refers to the unit mass of complete combustion release The heat released; the electrical properties of fuel refer to the conductivity and resistivity of fuel. The resistivity is divided by the conductivity and multiplied by the correction factor to obtain the fuel electrical properties; the quality parameters of fuel refer to the fuel impurity value, fuel silicon content, and fuel water content, and the sum of the fuel product abnormality is obtained. The fuel product abnormality is reciprocally processed to obtain the fuel quality value, where the fuel impurity value refers to the intensity and angle distribution of scattered light detected by the laser particle size analyzer when the laser beam is irradiated on the fuel, and the fuel impurity value is obtained by summing them. The fuel silicon content is the silicon content measured by atomic absorption spectroscopy. When the fuel impurities, silicon and water are more, a lower speed needs to be set to reduce the risk of blockage and overheating;

[0057] The fuel physicochemical calorific value, fuel injection level value, fuel combustion heat rate value, fuel electrical characteristic value and fuel quality value are normalized, and a sphere is constructed with the fuel quality value as the radius of the sphere, and the center of the sphere is the center point of the cuboid. A cuboid is constructed inside the sphere, and the sum of the fuel physicochemical calorific value and the fuel injection level value is the long side of the bottom of the cuboid, the fuel combustion heat rate value is the wide side of the bottom of the cuboid, and the fuel electrical characteristic value is the height of the cuboid. The non-overlapping irregular volume formed by the sphere and the cuboid is identified and marked as the required speed YQZ of the fuel pump. It should be noted that the more complete the fuel combustion, the lower the required speed;

[0058] The component module receives component information to analyze the working characteristics of the components in the fuel supply system, and obtains the transfer demand of the fuel supply system. The specific analysis is as follows:

[0059] Obtain the pipeline noise value, pipeline internal roughness, electronic oil pump resonance frequency, oil pump heat dissipation efficiency value and filter filtration accuracy in the vehicle fuel supply system component information, mark them as gl b, gnc, dyg, yns and lqg respectively, and perform normalization processing according to the set formula

[0060]

[0061] The calculation is performed to obtain the required speed ZXZ of the fuel supply system, where w1, w2, w3, w4 and w5 are preset weight coefficients of pipeline noise value, pipeline internal roughness, electronic oil pump resonance frequency, oil pump heat dissipation efficiency value and filter filtration accuracy, and are 1.123, 1.985, 0.944, 1.119 and 1.126 respectively, and e is a natural constant, and is 2.718;

[0062] It should be noted that the pipeline step value refers to the sum of the pipeline curvature and the number of elbows; the pipeline internal roughness refers to the sum of the roughness of the inner wall of the pipeline and the friction; the oil pump heat dissipation efficiency value refers to the sum of the thermal conductivity of the oil pump material, the oil pump heat dissipation area and the oil pump convection heat transfer coefficient; the higher the filtration accuracy of the filter, the smaller the impurity particles intercepted, and the greater the resistance of the fuel passing through the filter; it should also be noted that the steps for solving the resonance frequency amplitude of the electronic oil pump are as follows:

[0063] An acceleration sensor is installed on the housing of the electronic oil pump, and the collected signal is transformed into a frequency domain signal through fast Fourier transform. The frequency is used as the horizontal coordinate and the vibration acceleration amplitude is used as the vertical coordinate to establish a vibration acceleration amplitude curve. The maximum vibration acceleration amplitude in the curve is obtained, marked as Zfz, and the frequency value corresponding to the maximum amplitude is obtained, marked as Pl z. According to the set formula The resonance frequency amplitude Dzz of the electronic oil pump is obtained, where h1 and h2 are both set weight factor coefficients, h2>h1, and the specific values ​​are 5.012 and 1.012 respectively. H1 is the minimum value of the normal working frequency range of the oil pump, and H2 is the maximum value of the normal working frequency range of the oil pump. It should be noted that when the frequency value corresponding to the maximum amplitude is within the normal working frequency range of the oil pump, resonance is caused, affecting the normal operation of the oil pump;

[0064] The working condition module receives working condition information to determine and analyze the driving, traveling, and battery status of the vehicle, and obtains the required value of the vehicle working condition. The specific analysis is as follows:

[0065] Obtain driving mode settings in the working condition information of new energy vehicles, specifically, competition mode, sports mode, off-road mode, hybrid mode, standard mode, economic mode, comfort mode and saving mode, and the corresponding oil pump speed demand values ​​are z1, z2, z3, z4, z5, z6, z7 and z8 respectively, and the values ​​of z1 to z8 decrease in sequence according to a certain same gradient, and the specific certain same gradient is 0.68, and the obtained mode speed demand value is marked as Z;

[0066] The actual capacity of the battery of the new energy vehicle is detected by a battery tester, and divided by the initial capacity to obtain the battery capacity retention rate bcl. The power loss value of the battery is detected when it is not in use for a certain period of time, which is marked as the battery self-discharge value dzz. The image of the active particles of the new energy vehicle battery is taken by an electron microscope, and the image is binarized to distinguish the particles from the background. The active material particles are white and the background is black. The number of pixels in the white area and the number of pixels in the black area are counted, and the number of pixels in the black area is divided by the number of pixels in the white area, and multiplied by the correction factor coefficient to obtain the battery active material shedding value dhz. According to the set formula λ=τ×bc l / (dhz+dzz), get the battery health correction coefficient λ, τ is the set correction factor coefficient, get the remaining power value of the car battery, multiply it by the battery health correction coefficient, and get the car battery health status value; get the road surface friction coefficient, vehicle attitude angle change value, vehicle dispersion value, driving acceleration and driving speed in the new energy vehicle working condition information, and sum them up to get the road vehicle value. It should be noted that the vehicle attitude angle change value refers to the change value of the vehicle's roll angle and pitch angle within a certain period of time, and the vehicle dispersion value refers to the load data value of each axle of the vehicle, and the difference between the load mean of the vehicle axle and the absolute value are taken, and the sum is obtained;

[0067] The vehicle battery health status value and road driving value are marked as jkz and dxd respectively, and normalized with the mode speed demand value Z. According to the set formula GXZ=δ×(Z+dxd) / jkz, the vehicle operating condition speed demand value GXZ is obtained. δ is the set correction factor coefficient, and the specific value is 0.818;

[0068] The execution module is used to receive the speed demand of the fuel pump, the speed demand of the fuel supply system and the speed demand value of the vehicle working condition, analyze the overall state of the vehicle's electronic fuel pump speed, and match the corresponding speed values ​​of the electronic fuel pumps in different comprehensive states to work. The specific analysis is as follows:

[0069] The fuel pump fuel demand YQZ, fuel supply system demand ZXZ, and vehicle operating condition demand value GXZ are weighted and multiplied by the corresponding proportional factor coefficient to obtain the vehicle's electronic fuel pump comprehensive demand value;

[0070] Set n electronic oil pump speed value intervals, and each electronic oil pump speed value corresponds to each interval, specifically G1(0, q1), G2(q1, q2), ..., Gn(qn-1, qn), G1, G2, ..., Gn respectively represent the segmented interval numbers of the electronic oil pump speed value, 0, q1, q2, ..., qn respectively represent the corresponding electronic oil pump speed values, and match the calculated vehicle's electronic oil pump comprehensive required speed value with the electronic oil pump speed value interval range. If the electronic oil pump comprehensive required speed value is within the value interval range, then the value interval range is marked as the adjusted electronic oil pump speed value, and the electronic oil pump works according to the adjusted electronic oil pump speed value control.

[0071] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. An intelligent control system for the speed of an electronic oil pump for a new energy vehicle, characterized in that: include: A data acquisition module is used to collect fuel information, component information and operating condition information, and send them to the fuel module, component module and operating condition module respectively; The fuel module is used to evaluate the fuel transfer demand of the fuel pump of new energy vehicles through the physicochemical properties, injection parameters, combustion sequence characteristics, electrical characteristics and quality parameters of the fuel to obtain the fuel transfer demand of the fuel pump; A component module, used for receiving component information to analyze the working characteristics of components in the fuel supply system, and obtaining the transfer demand of the fuel supply system; The working condition module is used to receive working condition information to determine and analyze the driving, running and battery status of the car, and obtain the required value of the car working condition; The execution module is used to receive the speed demand of the fuel pump, the speed demand of the fuel supply system and the speed demand value of the vehicle working condition, analyze the overall state of the vehicle's electronic fuel pump speed, and match the corresponding speed values ​​of the electronic fuel pumps in different comprehensive states to work.

2. The intelligent control system for electronic oil pump speed for new energy vehicles according to claim 1 is characterized in that: The steps for analyzing the transfer demand of the fuel pump fuel are as follows: The fuel physicochemical calorific value, fuel injection level value, fuel combustion heat rate value, fuel electrical characteristic value and fuel quality value are normalized, and a sphere is constructed with the fuel quality value as the radius of the sphere. The center of the sphere is the center point of the cuboid, and a cuboid is constructed inside the sphere. The sum of the fuel physicochemical calorific value and the fuel injection level value is the long side of the bottom of the cuboid, the fuel combustion heat rate value is the wide side of the bottom of the cuboid, and the fuel electrical characteristic value is the height of the cuboid. The non-overlapping irregular volume formed by the sphere and the cuboid is identified and marked as the transfer demand YQZ of the fuel pump.

3. The intelligent control system for electronic oil pump speed for new energy vehicles according to claim 2 is characterized in that: The analysis steps of the fuel injection level value, fuel combustion heat rate value, fuel electrical characteristic value and fuel quality value are as follows: The fuel injection parameters include the injection amount, injection pressure and injection pulse width, which are summed to obtain the fuel injection level value; the fuel combustion sequence characteristics refer to the fuel calorific value and the fuel combustion rate, which are summed to obtain the fuel combustion heat rate value; the electrical characteristics of the fuel refer to the fuel conductivity and resistivity, and the resistivity is divided by the conductivity and multiplied by the correction factor coefficient to obtain the fuel electrical characteristic value; the fuel quality parameters refer to the fuel impurity value, the fuel silicon content, and the fuel water content, which are summed to obtain the fuel quality abnormality value, and the fuel quality abnormality value is reciprocated to obtain the fuel quality value.

4. The intelligent control system for electronic oil pump speed for new energy vehicles according to claim 2 is characterized in that: The steps of analyzing the physicochemical fuel value of fuel are as follows: Put the fuel into the fuel chamber of the Reid vapor pressure tester. When the temperature of the fuel chamber is stabilized at a certain temperature, the vapor pressure at equilibrium is measured by the pressure sensor and marked as the fuel vapor value. The pump suction pressure is measured by the pressure sensor, and the ultrasonic flow meter obtains the flow rate of the fuel at the pump suction port, which are marked as ry and ls respectively. According to the formula yq = b1×ry 2 +b2×ls, the effective cavitation margin yq of the fuel is obtained, b1 and b2 are both set weight factor coefficients; the interfacial tension value of the fuel is obtained by inserting the intelligent sensor probe into the interface contact between the fuel and the air; The flash point of the fuel is measured by a closed cup flash point tester, ultraviolet rays excite the fuel to generate sulfides, and the fluorescence intensity is detected by an ultraviolet fluorescent sulfur analyzer to obtain the sulfur content of the fuel; The physical and chemical properties of fuel are analyzed by calculating the fuel vapor fuel value, fuel interfacial tension value, fuel flash point, fuel sulfur content, fuel molecular structure fuel charge value Frc and fuel effective cavitation margin yq to obtain the fuel physical and chemical fuel value Whz.

5. The intelligent control system for electronic oil pump speed for new energy vehicles according to claim 4 is characterized in that: The fuel molecular structure fuel value analysis steps are as follows: Step 4: After the fuel is vaporized, it is injected into the gas chromatograph. The helium and the fuel pass through the chromatographic column filled with silica gel, and the gas chromatogram is obtained through the detector. The hydrocarbons eluting at different times are analyzed. According to the short-chain and long-chain threshold intervals of the set reference elution time, when the elution time is in the short-chain threshold interval, the short-chain content value is obtained according to the peak area of ​​the corresponding elution time. When the elution time is in the long-chain threshold interval, the long-chain content value is obtained according to the peak area of ​​the corresponding elution time. The long-chain content value is divided by the short-chain content value and multiplied by the correction factor to obtain the chain hydrocarbon long combustion recharge value; Step 5: Count the total peak area formed by the gas chromatogram obtained in step 4, and count the peak area less than a certain retention time and the peak area greater than a certain retention time, divide the peak area less than a certain retention time and the peak area greater than a certain retention time by the total peak area, respectively, to obtain the short peak proportion value and the long peak proportion value, add the short peak proportion value and the total peak area, subtract the long peak proportion value, and multiply by the correction factor coefficient to obtain the branched chain burning rate value; Step 6: Count the hydrocarbons flowing out at each boiling point temperature, and count the peak area values ​​at the boiling point of 80-200 degrees and the boiling point of more than 300 degrees respectively, subtract the peak area value of the boiling point of more than 300 degrees from the peak area value of the boiling point of 80-200 degrees to obtain the number of mono-polyaromatic hydrocarbon rings, and multiply it by the correction factor coefficient to obtain the hydrocarbon ring number fuel value; Step 7: Calculate the fuel molecular structure fuel value Frc by adding the chain hydrocarbon length fuel value, branch chain fuel rate value, hydrocarbon ring number fuel value and the functional group fuel value rc.

6. The intelligent control system for electronic oil pump speed for new energy vehicles according to claim 4 is characterized in that: The functional group fuel value analysis steps are as follows: Step 1: Scan the fuel oil with an infrared spectrometer to obtain an infrared spectrum with a scanning range of 400-4000 wavenumbers; Step 2: Obtain the transmittance of the stretching vibration absorption peak at the set wave number in the infrared spectrum, take the logarithm of the transmittance and then negate it, and multiply it by the correction factor coefficient value to obtain the mass fractions of hydroxyl, carbonyl, ether bond, thiol, sulfoxide, sulfone, amino, amide, and nitrile groups respectively; Step 3: Sum the mass fractions of hydroxyl, carbonyl and ether bonds to obtain the mass fraction of oxygen-containing functional groups; sum the mass fractions of thiol, sulfoxide and sulfone groups to obtain the mass fraction of sulfur-containing functional groups; sum the mass fractions of amino, amide and nitrile groups to obtain the mass fraction of nitrogen-containing functional groups; calculate the functional group fuel value rc by combining the mass fractions of oxygen-containing functional groups, sulfur-containing functional groups and nitrogen-containing functional groups.

7. The intelligent control system for electronic oil pump speed for new energy vehicles according to claim 1 is characterized in that: The steps of matching the electronic oil pumps in different comprehensive states with corresponding speed values ​​for working analysis are as follows: The fuel pump fuel demand YQZ, fuel supply system demand ZXZ, and vehicle operating condition demand value GXZ are weighted and multiplied by the corresponding proportional factor coefficient to obtain the vehicle's electronic fuel pump comprehensive demand value; Set n electronic oil pump speed value intervals, and each electronic oil pump speed value corresponds to each interval, specifically G1(0, q1), G2(q1, q2), ..., Gn(qn-1, qn), G1, G2, ..., Gn respectively represent the segmented interval numbers of the electronic oil pump speed value, 0, q1, q2, ..., qn respectively represent the corresponding electronic oil pump speed values, and match the calculated vehicle's electronic oil pump comprehensive required speed value with the electronic oil pump speed value interval range. If the electronic oil pump comprehensive required speed value is within the value interval range, then the value interval range is marked as the adjusted electronic oil pump speed value, and the electronic oil pump works according to the adjusted electronic oil pump speed value control.

8. The intelligent control system for electronic oil pump speed for new energy vehicles according to claim 7 is characterized in that: The steps of converting the required value of the automobile working condition into working analysis are as follows: Obtain driving mode settings in the working condition information of new energy vehicles, specifically, competition mode, sports mode, off-road mode, hybrid mode, standard mode, economic mode, comfort mode and saving mode, and the corresponding oil pump speed demand values ​​are z1, z2, z3, z4, z5, z6, z7 and z8 respectively, and the values ​​of z1 to z8 decrease in sequence according to a certain same gradient, and the obtained mode speed demand value is marked as Z; The actual capacity of the battery of the new energy vehicle is detected by a battery tester, and the battery capacity retention rate bcl is obtained by dividing it by the initial capacity. The power loss value of the battery in a certain period of time when it is not used is detected, which is marked as the battery self-discharge value dzz. The image of the active particles of the battery of the new energy vehicle is photographed by an electron microscope, and the image is binarized to distinguish the particles from the background. The active material particles are white and the background is black. The number of pixels in the white area and the number of pixels in the black area are counted, and the number of pixels in the black area is divided by the number of pixels in the white area, and multiplied by the correction factor coefficient to obtain the battery active material shedding value dhz. The battery health correction coefficient λ is obtained by analysis, and τ is the set correction factor coefficient. The remaining power value of the car battery is obtained, and multiplied by the battery health correction coefficient to obtain the car battery health status value; Obtain the road surface friction coefficient, vehicle attitude angle change value, vehicle dispersion value, driving acceleration and driving speed in the working condition information of new energy vehicles, and sum them up to obtain the road vehicle value; The vehicle battery health status value and road driving value are marked as jkz and dxd respectively, and are normalized with the mode speed demand value Z. According to the set formula GXZ=δ×(Z+dxd) / jkz, the vehicle operating condition speed demand value GXZ is obtained, where δ is the set correction factor coefficient.

9. The intelligent control system for electronic oil pump speed for new energy vehicles according to claim 7 is characterized in that: The transfer demand analysis steps of the fuel supply system are as follows: Take the pipeline noise value, pipeline internal roughness, electronic oil pump resonance frequency, oil pump heat dissipation efficiency value and filter filtration accuracy from the vehicle fuel supply system component information, mark them as glb, gnc, dyg, yns and lqg respectively, and perform normalization processing according to the set formula The transfer demand ZXZ of the fuel supply system is calculated, where w1, w2, w3, w4 and w5 are preset weight coefficients of pipeline noise value, pipeline internal roughness, electronic oil pump resonance frequency, oil pump heat dissipation efficiency and filter filtration accuracy, respectively.

10. The intelligent control system for electronic oil pump speed for new energy vehicles according to claim 9 is characterized in that: The steps for analyzing the resonance frequency amplitude of the electronic oil pump are as follows: An acceleration sensor is installed on the housing of the electronic oil pump, and the collected signal is transformed into a frequency domain signal through fast Fourier transform. The frequency is used as the horizontal coordinate and the vibration acceleration amplitude is used as the vertical coordinate to establish a vibration acceleration amplitude curve. The maximum value of the vibration acceleration amplitude in the curve is obtained, marked as Zfz, and the frequency value corresponding to the maximum amplitude is obtained, marked as Plz. According to the set formula The resonance frequency amplitude Dzz of the electronic oil pump is obtained, where h1 and h2 are both set weight factor coefficients, H1 is the minimum value of the normal working frequency range of the oil pump, and H2 is the maximum value of the normal working frequency range of the oil pump.

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