Method and device for calculating flywheel parameters, and server

Abstract

The application provides a flywheel parameter calculation method and device and a server, and relates to the technical field of flywheel energy storage, and comprises the following steps: acquiring an energy parameter of a to-be-tested flywheel energy storage device; determining a corresponding speed curve of the to-be-tested flywheel energy storage device based on the energy parameter, wherein the speed curve comprises a plurality of speed sections, and each speed section is used for representing a mapping relationship between a specified speed and output energy; and determining real flywheel parameters of the to-be-tested flywheel energy storage device according to the speed curve and a preset parameter calculation model. Through analysis and calculation on flywheel parameters of a plurality of speed sections, the application can reduce the influence of measurement errors, thereby improving the calculation accuracy of flywheel parameters.

Description

Technical Field

[0001] The present invention relates to the technical field of flywheel energy storage, and in particular to a method, device and server for calculating flywheel parameters. Background Art

[0002] The charge and discharge energy efficiency and maximum storage capacity are two key parameters of flywheel energy storage devices, which determine the flywheel's output and maintenance time. Currently, the charge and discharge energy efficiency and storage capacity of flywheel energy storage devices are mainly calculated based on precision instruments such as power analyzers. This method of calculating flywheel parameters lacks analysis of measurement error values ​​during calculation. Therefore, there are large errors in the calculation results, and the calculation errors cannot be accurately obtained, thereby increasing the energy loss of the flywheel energy storage device. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a method, device and server for calculating flywheel parameters. By analyzing and calculating flywheel parameters in multiple speed ranges, the influence of measurement errors can be reduced, thereby improving the calculation accuracy of flywheel parameters.

[0004] In a first aspect, an embodiment of the present invention provides a method for calculating flywheel parameters, the method comprising: obtaining energy parameters of a flywheel energy storage device to be tested; determining a speed curve corresponding to the flywheel energy storage device to be tested based on the energy parameters, the speed curve comprising a plurality of speed segments, each speed segment being used to characterize a mapping relationship between a specified speed and output energy; and determining actual flywheel parameters of the flywheel energy storage device to be tested based on the speed curve and a preset parameter calculation model.

[0005] In one embodiment, the energy parameters include charging energy parameters and discharging energy parameters, and the step of obtaining the energy parameters of the flywheel energy storage device to be tested includes: when the flywheel energy storage device is in a charging state, if the flywheel in the flywheel energy storage device is monitored to be adjusted from the lowest speed to the highest speed, collecting the charging speed of the flywheel and the charging energy parameter set corresponding to the charging speed; when the flywheel energy storage device is in a discharging state, if the flywheel in the flywheel energy storage device is monitored to be adjusted from the highest speed to the lowest speed, collecting the discharge speed of the flywheel and the discharge energy parameter set corresponding to the charging speed.

[0006] In one embodiment, the step of determining a speed curve corresponding to the flywheel energy storage device to be tested based on energy parameters includes: obtaining charging energy parameters and discharging energy parameters generated by the flywheel energy storage device in the same speed range in the charging state and the discharging state; determining the quotient of the charging energy parameter and the discharging energy parameter as the energy efficiency in the speed range; and determining the speed curve corresponding to the flywheel energy storage device to be tested based on the energy efficiency in each speed range.

[0007] In one embodiment, after the step of determining the speed curve corresponding to the flywheel energy storage device to be tested by using the energy efficiency in each speed range, the method includes: determining the speed separation points of each speed segment included in the speed curve according to the curvature of the speed curve, so as to divide the speed curve into multiple speed segments based on the speed separation points; wherein the curvature at the speed separation points is greater than a preset curvature threshold.

[0008] In one embodiment, the actual flywheel parameters include: charging energy efficiency parameters. The step of determining the actual flywheel parameters of the flywheel energy storage device to be tested based on the speed curve and the preset parameter calculation model includes: determining the target charging energy parameters corresponding to each speed segment from the charging energy parameter set; determining the charging energy efficiency parameters of the flywheel energy storage device to be tested based on the flywheel speed corresponding to the speed segment, the target charging energy parameters and the preset parameter calculation model, wherein the charging energy efficiency parameters include: charging energy efficiency, charging rotational inertia and charging speed error value.

[0009] In one embodiment, the actual flywheel parameters include: a discharge energy efficiency parameter; and the step of determining the actual flywheel parameters of the flywheel energy storage device to be tested based on a speed curve and a preset parameter calculation model also includes: determining a target discharge energy parameter corresponding to each speed segment from a set of discharge energy parameters; and determining a discharge energy efficiency parameter of the flywheel energy storage device to be tested based on the flywheel speed corresponding to the speed segment, the target discharge energy parameter, and the preset parameter calculation model, wherein the discharge energy efficiency parameter includes: discharge energy efficiency, discharge moment of inertia, and discharge speed error value.

[0010] In one embodiment, the actual flywheel parameters also include: maximum storage capacity, and the method includes: calculating a first average value of the charging moment of inertia and the discharging moment of inertia, and calculating a second average value of the charging speed error value and the discharging speed error value; determining the maximum storage capacity based on the first average value, the second average value and the preset parameter calculation model.

[0011] In a second aspect, an embodiment of the present invention further provides a flywheel parameter calculation device, characterized in that the device includes: an energy parameter acquisition module, which acquires the energy parameters of the flywheel energy storage device to be tested; a speed curve determination module, which determines the speed curve corresponding to the flywheel energy storage device to be tested based on the energy parameters, the speed curve including multiple speed segments, each speed segment being used to characterize the mapping relationship between a specified speed and output energy; a parameter calculation module, which determines the actual flywheel parameters of the flywheel energy storage device to be tested based on the speed curve and a preset parameter calculation model.

[0012] In a third aspect, an embodiment of the present invention further provides a server, comprising a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement any one of the methods provided in the first aspect.

[0013] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement any one of the methods provided in the first aspect.

[0014] The embodiments of the present invention bring the following beneficial effects:

[0015] Embodiments of the present invention provide a method, device, and server for calculating flywheel parameters. When calculating the flywheel parameters, the method obtains energy parameters of a flywheel energy storage device to be tested and, based on the energy parameters, determines a speed curve corresponding to the flywheel energy storage device to be tested. The speed curve includes multiple speed segments, each of which is used to characterize the mapping relationship between a specified speed and output energy. The actual flywheel parameters of the flywheel energy storage device to be tested are determined based on the speed curve and a preset parameter calculation model. By analyzing and calculating flywheel parameters across multiple speed segments, embodiments of the present invention can reduce the impact of measurement errors, thereby improving the accuracy of flywheel parameter calculation.

[0016] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The purposes and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 A schematic flow chart of a method for calculating flywheel parameters provided by an embodiment of the present invention;

[0020] Figure 2 A schematic structural diagram of a flywheel energy storage device provided in an embodiment of the present invention;

[0021] Figure 3 A schematic structural diagram of a parameter measurement unit for a flywheel energy storage device provided in an embodiment of the present invention;

[0022] Figure 4A schematic flow chart of another method for calculating flywheel parameters provided by an embodiment of the present invention;

[0023] Figure 5 A schematic structural diagram of a flywheel parameter calculation device provided by an embodiment of the present invention;

[0024] Figure 6 A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0026] A flywheel energy storage device is a device for converting electrical energy into kinetic energy. It consists of a machine-side converter, a magnetic bearing, and a flywheel body. When charging is required, the machine-side converter controls the motor to be in an inversion state, and the motor drives the flywheel rotor to continuously accelerate, and can be charged to the rated speed, which is the speed corresponding to the maximum storage capacity; when discharging is required, the machine-side converter controls the motor to be in a rectification state, and the flywheel rotor continuously reduces speed to drive the motor to generate electricity outward, and can be discharged to the lower limit of the operating speed, which is the speed corresponding to the minimum storage capacity at the rated power. At the same time, there is energy loss in the flywheel charging and discharging process. If the loss is large, it will affect the charging and discharging time. That is, the flywheel needs to have a high charging and discharging energy efficiency. Therefore, for the flywheel, the charging and discharging energy efficiency and the maximum storage capacity are closely related. These are two very critical parameters that determine the flywheel's output and maintenance time, among other characteristics. Currently, the methods for measuring the charge and discharge energy efficiency and storage capacity of flywheel energy storage devices are mainly based on precision instruments such as power analyzers, and are estimated through calculation and other methods. This can obtain the flywheel's charge and discharge energy efficiency and storage capacity to a certain extent, but there are certain calculation errors, and such errors cannot be accurately obtained. Therefore, inaccuracy is the current problem faced in obtaining the flywheel's charge and discharge energy efficiency and storage capacity. Based on this, the present invention implements a method for calculating flywheel parameters, which can reduce the influence of measurement errors by analyzing and calculating the flywheel parameters of multiple speed segments, thereby improving the calculation accuracy of the flywheel parameters.

[0027] See also Figure 1 The flow chart of a method for calculating flywheel parameters is shown, and the method mainly includes the following steps S102 to S106:

[0028] Step S102, obtaining energy parameters of the flywheel energy storage device to be tested, wherein the flywheel energy storage device includes a DC bus Udc, a machine-side converter (including an IGBT power unit, a current sensor, a charge and discharge controller, etc.), an array controller, a flywheel manager, auxiliary monitoring equipment, a synchronous motor, a flywheel rotor, a magnetic bearing and a controller, etc. In one embodiment, Figure 2 As shown, the DC bus voltage Udc is inverted into three-phase AC power through the IGBT power unit under the action of the charge and discharge controller, and is connected to the synchronous motor stator after being connected in series with the current sensor. The synchronous motor shaft is rigidly connected to the flywheel rotor shaft; the magnetic bearing is used to suspend the flywheel rotor under the action of the controller; the auxiliary monitoring equipment includes temperature monitors, vacuum monitors, vibration monitors, etc. The data of these instruments are connected to the flywheel manager for processing. At the same time, the magnetic bearing controller and the charge and discharge controller are respectively connected to the flywheel manager through communication; the array controller serves as the main controller of the flywheel energy storage device. On the one hand, it communicates with the flywheel manager to read the flywheel status and data, and on the other hand, it communicates with the charge and discharge controller to send charge and discharge control commands and control parameters.

[0029] In one embodiment, the energy parameters of the flywheel energy storage device include charge and discharge energy efficiency and storage capacity, such as Figure 3 The schematic diagram of the structure of a parameter measurement unit for a flywheel energy storage device is shown. A power analyzer can be connected to the DC bus voltage Udc side, and a set of DC voltage differential voltage probes and DC current probes can be connected to obtain the charge and discharge energy efficiency and storage capacity of the flywheel energy storage device.

[0030] Step S104: Determine the speed curve corresponding to the flywheel energy storage device to be tested based on the energy parameters. The speed curve includes multiple speed segments, each of which is used to characterize the mapping relationship between a specified speed and output energy. By modifying the minimum and maximum speeds of the flywheel, the energy efficiency of different speed segments can be obtained, and the energy efficiency is generated as a curve that changes with the speed, i.e., the speed curve. In one embodiment, the speed segments are divided according to the curvature change of the speed curve to avoid excessive changes in the output or input energy within the same speed segment.

[0031] Step S106: Determine the actual flywheel parameters of the flywheel energy storage device to be tested based on the speed curve and the preset parameter calculation model, where the actual flywheel parameters include: a charging energy efficiency parameter, a discharging energy efficiency parameter, and a maximum storage capacity. In one embodiment, the speed segment determined by the speed curve is used to select the speed and input / output energy values ​​within multiple speed segments, and the speed and input / output energy values ​​are substituted into the preset parameter calculation model to obtain the charging energy efficiency parameter, the discharging energy efficiency parameter, and the maximum storage capacity.

[0032] The above-mentioned flywheel parameter calculation method provided by the embodiment of the present invention can reduce the influence of measurement errors by analyzing and calculating the flywheel parameters in multiple speed ranges, thereby improving the calculation accuracy of the flywheel parameters.

[0033] The embodiment of the present invention further provides an implementation method for determining the speed range, for details, see (1) to (3) below:

[0034] (1) When the flywheel energy storage device is in a charging state, if the flywheel in the flywheel energy storage device is monitored to be adjusted from the lowest speed to the highest speed, the charging speed of the flywheel and the charging energy parameter set corresponding to the charging speed are collected; when the flywheel energy storage device is in a discharging state, if the flywheel in the flywheel energy storage device is monitored to be adjusted from the highest speed to the lowest speed, the discharge speed of the flywheel and the discharge energy parameter set corresponding to the charging speed are collected, wherein the energy parameters include charging energy parameters and discharging energy parameters. In one embodiment, a rotary transformer installed at the end of the flywheel rotor shaft can be used to obtain the current speed of the flywheel in real time. n r , this speed measurement value has a certain error, marked as Δ n Therefore, the actual speed of the flywheel is:

[0035] n real = n r + Δ n

[0036] Secondly, set the minimum operating speed of the flywheel to n min , the maximum operating speed is n max , both values ​​can be determined in advance and are known quantities.

[0037] The power analyzer multiplies the DC voltage measured by the differential probe and the DC current measured by the current sensor to obtain the DC power, thereby obtaining the power value of the flywheel energy storage device on the DC side in real time.

[0038] In one embodiment, the power analyzer can integrate the power value to obtain the amount of electricity in the flywheel energy storage device in real time.

[0039] (2) Obtain the charging energy parameter and the discharging energy parameter generated by the flywheel energy storage device in the same speed range in the charging state and the discharging state, determine the quotient of the charging energy parameter and the discharging energy parameter as the energy efficiency in the speed range, and determine the speed curve corresponding to the flywheel energy storage device to be tested based on the energy efficiency in each speed range. In one embodiment, the energy efficiency of the flywheel energy storage device is:

[0040] ƞ = E out / E in

[0041] ƞ Meet charging efficiency ƞ 1 and discharge efficiency ƞ 2, that is ƞ = ƞ 1* ƞ 2, thus generating a speed curve showing energy efficiency changing with speed.

[0042] (3) Determining, based on the curvature of the speed curve, speed separation points for each speed segment included in the speed curve, so as to divide the speed curve into a plurality of speed segments based on the speed separation points; wherein the curvature at the speed separation points is greater than a preset curvature threshold. In one embodiment, if the curvature of the speed curve is greater than the preset curvature threshold, it is determined that a new speed segment has appeared, and the number of speed segments is greater than or equal to three. The number of speed segments can be adjusted by adjusting the curvature threshold.

[0043] The embodiment of the present invention further provides an implementation method for calculating flywheel parameters, as shown in (a) to (c) below:

[0044] (a) Determine the target charging energy parameter corresponding to each speed range from the charging energy parameter set, and determine the charging energy efficiency parameter of the flywheel energy storage device to be tested according to the flywheel speed corresponding to the speed range, the target charging energy parameter and the preset parameter calculation model, wherein the charging energy efficiency parameter includes: charging energy efficiency, charging moment of inertia and charging speed error value. In one embodiment, according to the input energy E in , minimum speed n min , maximum speed n max , assuming the moment of inertia of the flywheel body is J, the measured values ​​of the speed are:

[0045] n realmin = n min + Δ n , n realmax = n max + Δ n

[0046] According to the flywheel energy formula, we can get:

[0047] ƞ 1* E in= -1 / 2 * J * ( n 2 realmin - n 2 realmax )

[0048] According to the flywheel energy formula, we can get:

[0049] E out / ƞ 2 = -1 / 2 * J * ( n 2 realmin - n 2 realmax )

[0050] Substituting the measured speed value into the above formula, we can get:

[0051] ƞ 1* E in = 1 / 2 * J * ( n 2 min - n 2 max + 2* n min *Δ n - 2* n max *Δ n )

[0052] in, ƞ 1. J , Δ n is the variable to be solved, and E in 、 n min 、 n max is a known quantity. In order to solve the three variables, three equations can be listed, that is, three different speed ranges are selected. n min1 , n max1 ]、[ n min2 , n max2 ]、[ n min3 , n max3 ], through the charging experiment, three groups of different input energies were obtained.E in1 、 E in2 、 E in3 , put the energy value into the equation to find the variable ƞ 1. J , Δ n， That is, charging energy efficiency, rotational inertia and speed error value.

[0053] (b) Determine the target discharge energy parameter corresponding to each speed segment from the discharge energy parameter set, and determine the discharge energy efficiency parameter of the flywheel energy storage device to be tested based on the flywheel speed corresponding to the speed segment, the target discharge energy parameter, and the preset parameter calculation model, wherein the discharge energy efficiency parameter includes: discharge energy efficiency, discharge moment of inertia, and discharge speed error value. In one embodiment, three different speed segments are selected [ n min1 , n max1 ]、[ n min2 , n max2 ]、[ n min3 , n max3 ], through the discharge experiment, three groups of different output energies were obtained. E out1 、 E out2 、 E out3 , put the energy value into the equation to find the variable ƞ 2. J , Δ n， That is, discharge energy efficiency, moment of inertia and speed error value.

[0054] (c) Calculate a first average value of the charging moment of inertia and the discharging moment of inertia, and calculate a second average value of the charging speed error and the discharging speed error, and determine the maximum storage capacity based on the first average value, the second average value and a preset parameter calculation model. In one embodiment, the moments of inertia obtained from the charging experiment and the discharging experiment are J 1. J 2 and speed error Δ n 1. Δ n 2. Take the average value to get the exact value.

[0055] J = 1 / 2 * ( J 1+ J 2)

[0056] According to the obtained moment of inertia and speed measurement error, the amount of energy stored in the flywheel at the highest speed can be obtained as:

[0057] E h = 1 / 2 * J * ( n realh - Δ n ) 2

[0058] in, n realh is the maximum flywheel speed, E h The maximum storage capacity.

[0059] To facilitate understanding of the flywheel parameter calculation method provided in the above embodiment, an embodiment of the present invention provides an application example of the flywheel parameter calculation method, see Figure 4 FIG. 1 is a flow chart of another method for calculating flywheel parameters, which mainly includes the following steps S402 to S408:

[0060] Step S402, collecting energy parameter sets of the flywheel energy storage device in the charging state and the discharging state. In one embodiment, the minimum speed of the flywheel charge and discharge is determined to be n min , the maximum operating speed is n max , and control the flywheel to start from the lowest speed at rated power n min Charge to n max , the power analyzer obtains the DC side input power in real time P in , the input power is E in , and control the flywheel to start from the highest speed at rated power n max Discharge to n min , the power analyzer obtains the DC side output power in real time P out , the output power is E out .

[0061] Step S404: Calculate the energy efficiency set of the flywheel energy storage device in the same speed range in the charging state and the discharging state, and generate a speed curve based on the energy efficiency set. In one embodiment, the energy efficiency of the flywheel energy storage device is:

[0062] ƞ = Eout / E in

[0063] ƞ Meet charging efficiency ƞ 1 and discharge efficiency ƞ 2, that is ƞ = ƞ 1* ƞ 2, thus generating a speed curve showing energy efficiency changing with speed.

[0064] Step S406, determining the speed segment according to the curvature of the speed curve. In one embodiment, the speed separation points of each speed segment included in the speed curve are determined according to the curvature of the speed curve, so as to divide the speed curve into multiple speed segments based on the speed separation points.

[0065] Step S408: The energy parameters in each speed range are brought into the calculation model to determine the actual flywheel parameters of the flywheel energy storage device to be tested. In one embodiment, the energy parameters in each speed range are input into the calculation model to determine the actual flywheel parameters of the flywheel energy storage device to be tested. E in , minimum speed n min , maximum speed n max , assuming the moment of inertia of the flywheel body is J, the measured values ​​of the speed are:

[0066] n realmin = n min + Δ n , n realmax = n max + Δ n

[0067] According to the flywheel energy formula, we can get:

[0068] ƞ 1* E in = -1 / 2 * J * ( n 2 realmin - n 2 realmax )

[0069] According to the flywheel energy formula, we can get:

[0070] E out / ƞ 2 = -1 / 2 * J * (n 2 realmin - n 2 realmax )

[0071] Substituting the measured speed value into the above formula, we can get:

[0072] ƞ 1* E in = 1 / 2 * J * ( n 2 min - n 2 max + 2* n min *Δ n - 2* n max *Δ n )

[0073] in, ƞ 1. J , Δ n is the variable to be solved, and E in 、 n min 、 n max is a known quantity. In order to solve the three variables, three equations can be listed, that is, three different speed ranges are selected. n min1 , n max1 ]、[ n min2 , n max2 ]、[ n min3 , n max3 ], through the charging experiment, three groups of different input energies were obtained. E in1 、 E in2 、 E in3 , put the energy value into the equation to find the variable ƞ 1. J , Δ n .

[0074] In one embodiment, three different speed ranges are selected [ n min1 , n max1 ]、[n min2 , n max2 ]、[ n min3 , n max3 ], through the discharge experiment, three groups of different output energies were obtained. E out1 、 E out2 、 E out3 , put the energy value into the equation to find the variable ƞ 2. J , Δ n .

[0075] In one embodiment, the moments of inertia obtained from the charging experiment and the discharging experiment are J 1. J 2 and speed error Δ n 1. Δ n 2. Take the average value to get the exact value.

[0076] J = 1 / 2 * ( J 1+ J 2)

[0077] According to the obtained moment of inertia and speed measurement error, the amount of energy stored in the flywheel at the highest speed can be obtained as:

[0078] E h = 1 / 2 * J * ( n realh - Δ n ) 2

[0079] in, n realh is the maximum flywheel speed, E h The maximum storage capacity.

[0080] In summary, the flywheel parameter calculation method provided by the present invention can take speed and inertia errors into account when calculating parameters, and obtain the maximum flywheel storage capacity and charge and discharge energy efficiency through multivariate equation calculation, thereby significantly reducing measurement errors and accurately obtaining the performance parameters of the flywheel energy storage unit. In addition, the electrical control topology of the flywheel energy storage device provided by the present invention includes a DC bus Udc, a machine-side converter (including an IGBT power unit, a current sensor, a charge and discharge controller, etc.), an array controller, a flywheel manager, auxiliary monitoring equipment, a synchronous motor, a flywheel rotor, a magnetic bearing and a controller, etc., which very comprehensively covers the system structure of the flywheel energy storage unit and can realize the overall monitoring and charge and discharge control process of the flywheel. A power analyzer is connected to the DC side to record power and energy data, and energy efficiency and storage capacity are calculated using the error increment method. By analyzing and calculating the flywheel parameters in multiple speed ranges, the influence of measurement errors can be reduced, thereby improving the calculation accuracy of the flywheel parameters.

[0081] Regarding the flywheel parameter calculation method provided in the above embodiment, the present invention provides a flywheel parameter calculation device, see Figure 5 A schematic diagram of the structure of a flywheel parameter calculation device is shown, which includes the following parts:

[0082] Energy parameter acquisition module 502, acquires energy parameters of the flywheel energy storage device to be tested;

[0083] A speed curve determining module 504 determines a speed curve corresponding to the flywheel energy storage device to be tested based on the energy parameter, wherein the speed curve includes a plurality of speed segments, each speed segment being used to represent a mapping relationship between a specified speed and output energy;

[0084] The parameter calculation module 506 determines the actual flywheel parameters of the flywheel energy storage device to be tested according to the speed curve and the preset parameter calculation model.

[0085] The above-mentioned data processing device provided in the embodiment of the present application uses the electrical control topology of the flywheel energy storage device, including the DC bus Udc, the machine-side converter (including the IGBT power unit, the current sensor, the charge and discharge controller, etc.), the array controller, the flywheel manager, the auxiliary monitoring equipment, the synchronous motor, the flywheel rotor, the magnetic bearing and the controller, etc., to very comprehensively cover the system structure of the flywheel energy storage device, and can realize the overall monitoring and charge and discharge control process of the flywheel. It records the power and energy data by connecting a power analyzer on the DC side, and calculates the energy efficiency and storage capacity by the error increment method. The equipment used is a general instrument, and the calculation method is simple and reliable, which can ensure the accuracy of data acquisition. By analyzing and calculating the flywheel parameters in multiple speed ranges, the influence of measurement errors can be reduced, thereby improving the calculation accuracy of the flywheel parameters.

[0086] In an implementation, the energy parameters include a charging energy parameter and a discharging energy parameter, and the energy parameter acquisition module 502 is further configured to: when the flywheel energy storage device is in a charging state, if it is monitored that the flywheel in the flywheel energy storage device is adjusted from a minimum rotating speed to a maximum rotating speed, collect a charging rotating speed of the flywheel and a charging energy parameter set corresponding to the charging rotating speed; and when the flywheel energy storage device is in a discharging state, if it is monitored that the flywheel in the flywheel energy storage device is adjusted from the maximum rotating speed to the minimum rotating speed, collect a discharging rotating speed of the flywheel and a discharging energy parameter set corresponding to the discharging rotating speed.

[0087] In an implementation, when the step of determining the rotating speed curve corresponding to the flywheel energy storage device to be tested based on the energy parameters is performed, the rotating speed curve determination module 504 is further configured to: acquire charging energy parameters and discharging energy parameters generated by the flywheel energy storage device in the same rotating speed interval in the charging state and the discharging state; determine an energy efficiency in the rotating speed interval based on a quotient of the charging energy parameters and the discharging energy parameters; and determine the rotating speed curve corresponding to the flywheel energy storage device to be tested based on the energy efficiency in each rotating speed interval.

[0088] In an implementation, after the step of determining the rotating speed curve corresponding to the flywheel energy storage device to be tested based on the energy efficiency in each rotating speed interval is performed, the rotating speed curve determination module 504 is further configured to: determine rotating speed separation points of each rotating speed section included in the rotating speed curve based on a curvature of the rotating speed curve, so as to divide the rotating speed curve into a plurality of rotating speed sections based on the rotating speed separation points; and wherein the curvature at the rotating speed separation points is greater than a preset curvature threshold.

[0089] In an implementation, the real flywheel parameters include a charging energy efficiency parameter, and when the step of determining the real flywheel parameters of the flywheel energy storage device to be tested based on the rotating speed curve and a preset parameter calculation model is performed, the parameter calculation module 506 is further configured to: determine a target charging energy parameter corresponding to each rotating speed section from the charging energy parameter set; and determine the charging energy efficiency parameter of the flywheel energy storage device to be tested based on the flywheel rotating speed corresponding to the rotating speed section, the target charging energy parameter and the preset parameter calculation model, wherein the charging energy efficiency parameter includes a charging energy efficiency, a charging moment of inertia and a charging rotating speed error value.

[0090] In one embodiment, the actual flywheel parameters include: a discharge energy efficiency parameter. When determining the actual flywheel parameters of the flywheel energy storage device to be tested based on the speed curve and the preset parameter calculation model, the parameter calculation module 506 is further used to: determine the target discharge energy parameter corresponding to each speed segment from the discharge energy parameter set; determine the discharge energy efficiency parameter of the flywheel energy storage device to be tested based on the flywheel speed corresponding to the speed segment, the target discharge energy parameter and the preset parameter calculation model, wherein the discharge energy efficiency parameter includes: discharge energy efficiency, discharge moment of inertia and discharge speed error value.

[0091] In one embodiment, the actual flywheel parameters also include: maximum storage capacity, and the above-mentioned parameter calculation module 506 is also used to: calculate a first average value of the charging moment of inertia and the discharging moment of inertia, and calculate a second average value of the charging speed error value and the discharging speed error value; determine the maximum storage capacity based on the first average value, the second average value and the preset parameter calculation model.

[0092] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those in the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding content in the aforementioned method embodiment.

[0093] An embodiment of the present invention provides an electronic device. Specifically, the electronic device includes a processor and a storage device. The storage device stores a computer program, and when the computer program is executed by the processor, it executes the method described in any one of the above-mentioned embodiments.

[0094] Figure 6 A structural diagram of an electronic device provided in an embodiment of the present invention, the electronic device 100 includes: a processor 60, a memory 61, a bus 62 and a communication interface 63, wherein the processor 60, the communication interface 63 and the memory 61 are connected via the bus 62; the processor 60 is used to execute an executable module stored in the memory 61, such as a computer program.

[0095] Memory 61 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage. Communication between the system network element and at least one other network element is achieved through at least one communication interface 63 (which may be wired or wireless), and may utilize the Internet, a wide area network, a local area network, a metropolitan area network, or the like.

[0096] The bus 62 may be an ISA bus, a PCI bus, or an EISA bus. The bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, Figure 6Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0097] Among them, the memory 61 is used to store programs, and the processor 60 executes the program after receiving the execution instruction. The method executed by the device for flow process definition disclosed in any embodiment of the above-mentioned embodiment of the present invention can be applied to the processor 60 or implemented by the processor 60.

[0098] The processor 60 may be an integrated circuit chip with signal processing capabilities. During implementation, the steps of the above method may be performed by hardware integrated logic circuits or software instructions within the processor 60. The processor 60 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It may implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in conjunction with the embodiments of the present invention may be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software modules within the decoding processor. The software modules may be located in storage media well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or the like. The storage medium is located in the memory 61 , and the processor 60 reads the information in the memory 61 and completes the steps of the above method in combination with its hardware.

[0099] The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method described in the previous method embodiment. The specific implementation can be referred to the previous method embodiment and will not be repeated here.

[0100] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the present application that essentially contribute to the prior art or the parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0101] Finally, it should be noted that: the above-described embodiments are only specific embodiments of the present application, which are used to illustrate the technical solutions of the present application, but not to limit them. The protection scope of the present application is not limited to this. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily think of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed by the present application, or make equivalent replacements to some of the technical features. The modifications, changes or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for calculating flywheel parameters, characterized in that: The method comprises: Obtaining energy parameters of the flywheel energy storage device to be tested; Determine a speed curve corresponding to the flywheel energy storage device to be tested based on the energy parameter, wherein the speed curve includes a plurality of speed segments, each of the speed segments being used to represent a mapping relationship between a specified speed and output energy; Determining the actual flywheel parameters of the flywheel energy storage device to be tested according to the speed curve and the preset parameter calculation model; Wherein, the energy parameters include charging energy parameters and discharging energy parameters, and the step of obtaining the energy parameters of the flywheel energy storage device to be tested includes: when the flywheel energy storage device is in a charging state, if the flywheel in the flywheel energy storage device is monitored to be adjusted from the lowest speed to the highest speed, collecting the charging speed of the flywheel and the charging energy parameter set corresponding to the charging speed; when the flywheel energy storage device is in a discharging state, if the flywheel in the flywheel energy storage device is monitored to be adjusted from the highest speed to the lowest speed, collecting the discharge speed of the flywheel and the discharge energy parameter set corresponding to the charging speed; Wherein, the actual flywheel parameters include: charging energy efficiency parameters, and the step of determining the actual flywheel parameters of the flywheel energy storage device to be tested based on the speed curve and the preset parameter calculation model includes: determining the target charging energy parameter corresponding to each speed segment from the charging energy parameter set; determining the charging energy efficiency parameters of the flywheel energy storage device to be tested based on the flywheel speed corresponding to the speed segment, the target charging energy parameter and the preset parameter calculation model, wherein the charging energy efficiency parameters include: charging energy efficiency, charging moment of inertia and charging speed error value; Wherein, the actual flywheel parameters include: discharge energy efficiency parameters, and the step of determining the actual flywheel parameters of the flywheel energy storage device to be tested according to the speed curve and the preset parameter calculation model further includes: determining the target discharge energy parameter corresponding to each speed segment from the discharge energy parameter set; determining the discharge energy efficiency parameter of the flywheel energy storage device to be tested according to the flywheel speed corresponding to the speed segment, the target discharge energy parameter and the preset parameter calculation model, wherein the discharge energy efficiency parameter includes: discharge energy efficiency, discharge moment of inertia and discharge speed error value; Among them, the real flywheel parameters also include: maximum storage capacity, and the method includes: calculating a first average value of the charging moment of inertia and the discharging moment of inertia, and calculating a second average value of the charging speed error value and the discharging speed error value; determining the maximum storage capacity based on the first average value, the second average value and the preset parameter calculation model.

2. The method according to claim 1, characterized in that The step of determining the speed curve corresponding to the flywheel energy storage device to be tested based on the energy parameter includes: Obtaining charging energy parameters and discharging energy parameters generated by the flywheel energy storage device in the same speed range in the charging state and the discharging state; Determining the quotient of the charging energy parameter and the discharging energy parameter as the energy efficiency within the speed range; Based on the energy efficiency in each of the speed ranges, a speed curve corresponding to the flywheel energy storage device to be tested is determined.

3. The method according to claim 2, characterized in that After the step of determining the speed curve corresponding to the flywheel energy storage device to be tested based on the energy efficiency in each speed range, the method includes: According to the curvature of the speed curve, a speed separation point of each speed segment included in the speed curve is determined, so as to divide the speed curve into multiple speed segments based on the speed separation point; wherein the curvature at the speed separation point is greater than a preset curvature threshold.

4. A server, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the method according to any one of claims 1 to 3.

5. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the method according to any one of claims 1 to 3.

6. A flywheel parameter calculation device, characterized in that: The device comprises: An energy parameter acquisition module is used to obtain energy parameters of the flywheel energy storage device to be tested; a speed curve determining module, which determines a speed curve corresponding to the flywheel energy storage device to be tested based on the energy parameter, wherein the speed curve includes a plurality of speed segments, each of which is used to represent a mapping relationship between a specified speed and output energy; a parameter calculation module, which determines the actual flywheel parameters of the flywheel energy storage device to be tested according to the speed curve and a preset parameter calculation model; Wherein, the energy parameters include charging energy parameters and discharging energy parameters, and the step of obtaining the energy parameters of the flywheel energy storage device to be tested includes: when the flywheel energy storage device is in a charging state, if the flywheel in the flywheel energy storage device is monitored to be adjusted from the lowest speed to the highest speed, collecting the charging speed of the flywheel and the charging energy parameter set corresponding to the charging speed; when the flywheel energy storage device is in a discharging state, if the flywheel in the flywheel energy storage device is monitored to be adjusted from the highest speed to the lowest speed, collecting the discharge speed of the flywheel and the discharge energy parameter set corresponding to the charging speed; Wherein, the actual flywheel parameters include: charging energy efficiency parameters, and the step of determining the actual flywheel parameters of the flywheel energy storage device to be tested based on the speed curve and the preset parameter calculation model includes: determining the target charging energy parameter corresponding to each speed segment from the charging energy parameter set; determining the charging energy efficiency parameters of the flywheel energy storage device to be tested based on the flywheel speed corresponding to the speed segment, the target charging energy parameter and the preset parameter calculation model, wherein the charging energy efficiency parameters include: charging energy efficiency, charging moment of inertia and charging speed error value; Wherein, the actual flywheel parameters include: discharge energy efficiency parameters, and the step of determining the actual flywheel parameters of the flywheel energy storage device to be tested according to the speed curve and the preset parameter calculation model further includes: determining the target discharge energy parameter corresponding to each speed segment from the discharge energy parameter set; determining the discharge energy efficiency parameter of the flywheel energy storage device to be tested according to the flywheel speed corresponding to the speed segment, the target discharge energy parameter and the preset parameter calculation model, wherein the discharge energy efficiency parameter includes: discharge energy efficiency, discharge moment of inertia and discharge speed error value; Among them, the real flywheel parameters also include: maximum storage capacity, which is determined by calculating a first average value of the charging moment of inertia and the discharging moment of inertia, and calculating a second average value of the charging speed error value and the discharging speed error value; and determining the maximum storage capacity based on the first average value, the second average value and the preset parameter calculation model.

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