Power battery SOP estimation method and system, electronic equipment and storage medium

Abstract

The invention discloses a power battery SOP estimation method and system, an electronic device and a storage medium, and relates to the field of power batteries, and the method comprises the steps: S1, obtaining a real-time current through a current sensor after the system is powered on, and obtaining all monomer voltages of a power battery through a sampling circuit, and the number of the monomers is the number of the monomers; s2, taking the minimum value of all the monomer voltages, and recording the minimum value as the minimum monomer voltage; s3, according to the current and the minimum single voltage, performing online identification on parameters of the power battery to obtain open-circuit voltage, ohmic internal resistance, polarization internal resistance and a time constant; s4, based on the current, the minimum monomer voltage and the battery parameters obtained in the step S3, the maximum allowable current of the current monomer is calculated in combination with the discharge cut-off voltage and the interval time; step S5, obtaining the maximum allowable power of the current single body according to the maximum allowable current of the current single body obtained in the step S4; and step S6, obtaining the current maximum allowable power of the battery pack according to the current maximum allowable power of the single battery obtained in the step S5.

Description

Technical Field

[0001] This application relates to the field of power batteries, and in particular to power battery SOP estimation methods, power battery SOP estimation systems, electronic devices, storage media, and vehicle platforms. Background Technology

[0002] SOP typically refers to the maximum discharge power and maximum recharge power that a battery can provide within a certain period of time (such as 10s, 30s, or continuous), under multiple constraints such as voltage, current, temperature, and SOC.

[0003] SOP (State of Operation) is an important parameter of power batteries, reflecting their power level and serving as a crucial indicator of power performance. Therefore, estimating the SOP of power batteries is of paramount importance.

[0004] The current mainstream power estimation method uses the temperature-SOC-power MAP provided by the battery manufacturer. This method usually significantly reduces the actual power capability of the power battery. When applying the actual power MAP table, SOC and temperature are used for table lookup. However, SOC estimation has errors, and these errors will also affect the application of the power MAP table, thus leading to power errors. Summary of the Invention

[0005] The purpose of this invention is to provide a power battery SOP estimation method, a power battery SOP estimation system, an electronic device, a storage medium, and a vehicle platform, thereby solving at least one of a number of technical problems.

[0006] Current methods for estimating the State of Operation (SOP) of power batteries mainly rely on temperature-SOC-power MAP tables provided by battery manufacturers. These methods have two major problems: First, they significantly reduce the actual power capacity of the power battery, failing to fully utilize its performance. Second, they require looking up SOC (State of Charge) and temperature data, but SOC estimation itself has errors, which are then transmitted to power calculations, leading to deviations in SOP estimation. Furthermore, these methods are difficult to use for real-time SOP estimation and cannot meet the needs of dynamic operating scenarios for power batteries.

[0007] This invention provides the following solution:

[0008] According to a first aspect of the present invention, a method for estimating the state of operation (SOP) of a power battery is provided, comprising:

[0009] Step S1: After the system is powered on, the real-time current is acquired through the current sensor. The voltage of all individual cells in the power battery is obtained through a sampling circuit. , … ,in This refers to the number of monomers;

[0010] Step S2, for all individual cell voltages , … Take the minimum value, and denote it as the minimum unit voltage. ;

[0011] Step S3, based on the current and minimum single-cell voltage The parameters of the power battery are identified online to obtain the open-circuit voltage. Ohmic internal resistance Polarization internal resistance and time constant ;

[0012] Step S4, based on current Minimum unit voltage And the battery parameters obtained in S3, combined with the discharge cutoff voltage Calculate the maximum allowable current of the current single unit based on the time interval ∆t. ;

[0013] Step S5, based on the current maximum allowable current of the single unit obtained in S4. Obtain the current maximum allowable power of a single unit. ;

[0014] Step S6, based on the current maximum allowable power of the single unit obtained in S5. Get the current maximum allowable power of the battery pack. .

[0015] Furthermore, online identification of power battery parameters includes:

[0016] The recursive least squares method is used to identify the parameters of the power battery online.

[0017] Furthermore, the online identification of power battery parameters using the recursive least squares method includes:

[0018] Step S31: Establish a first-order equivalent circuit model. The first-order equivalent circuit model satisfies the following formulas:

[0019] and ;

[0020] The transfer functions derived based on the first-order equivalent circuit model include:

[0021] ;

[0022] Step S32: Perform a bilinear transformation on the above equation and rearrange to obtain:

[0023] ;

[0024] in The current at the current moment; This represents the current terminal voltage. This is the open-circuit voltage at the current moment; , , For the corresponding coefficients; ; This is the current sampling time;

[0025] Step S33: Determine the system output. Measurement vector ; Vector to be estimated ;

[0026] Step S34: Obtain the terminal voltage and current information collected by the battery management system;

[0027] Step S35: Perform recursive least squares calculations to identify the power battery parameters;

[0028] Wherein, according to the formula Obtain the open-circuit voltage ;

[0029] According to the formula Obtain the internal resistance of the ohm ;

[0030] According to the formula Obtain the time constant ;

[0031] According to the formula Obtaining polarization internal resistance .

[0032] Furthermore, including:

[0033] Current maximum allowable current of a single unit The calculation satisfies the formula:

[0034] ;

[0035] in, The duration is 10s, 30s, or 60s.

[0036] Furthermore, including:

[0037] Current maximum allowable power of a single unit The calculation satisfies the formula:

[0038] = .

[0039] Furthermore, including:

[0040] Current maximum allowable power of battery pack The calculation satisfies the formula:

[0041] = ,in, This refers to the number of individual battery cells.

[0042] According to a second aspect of the present invention, a power battery SOP estimation system is provided, comprising:

[0043] The current acquisition module is used to acquire the real-time current through a current sensor after the system is powered on. The voltage of all individual cells in the power battery is obtained through a sampling circuit. , … ,in This refers to the number of monomers;

[0044] Voltage processing module, used for processing the voltage of all individual cells. , … Take the minimum value, and denote it as the minimum unit voltage. ;

[0045] The parameter identification module is used to identify parameters based on current. and minimum single-cell voltage The parameters of the power battery are identified online to obtain the open-circuit voltage. Ohmic internal resistance Polarization internal resistance and time constant ;

[0046] Individual allowable current calculation module, used for current-based calculations Minimum unit voltage And battery parameters, combined with discharge cutoff voltage Calculate the maximum allowable current of the current single unit based on the time interval ∆t. ;

[0047] The single-unit allowable power calculation module is used to calculate the maximum allowable current of the current single unit. Obtain the current maximum allowable power of a single unit. ;

[0048] The battery pack allowable power calculation module is used to calculate the maximum allowable power of the current single cell. Get the current maximum allowable power of the battery pack. .

[0049] According to a third aspect of the present invention, an electronic device is provided, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus;

[0050] The memory stores a computer program, which, when executed by the processor, causes the processor to perform steps such as the SOP estimation method for power batteries.

[0051] According to a fourth aspect of the present invention, a computer-readable storage medium is provided storing a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform steps such as a power battery SOP estimation method.

[0052] According to a fifth aspect of the present invention, a vehicle platform is provided, comprising:

[0053] Electronic devices used to implement steps such as SOP estimation methods for power batteries;

[0054] The processor runs programs, and when the programs are running, they execute steps such as the SOP estimation method for power batteries based on data output from electronic devices.

[0055] Storage medium used to store programs that, when running, perform steps such as power battery SOP estimation methods on data output from electronic devices.

[0056] The above solution achieves the following beneficial technical effects:

[0057] This application obtains the core parameters of the battery and calculates the SOP by using a parameter identification method:

[0058] First, it eliminates the need to rely on temperature-SOC-power MAP tables, completely avoiding the impact of SOC estimation errors on power calculation, while fully releasing the actual power capacity of the power battery.

[0059] Second, based on real-time collected current and minimum unit voltage, online parameter identification and power recursion are performed, realizing real-time estimation of SOP and adapting to dynamic working scenarios.

[0060] Third, by using the recursive least squares method combined with a first-order equivalent circuit model for parameter identification, and with standardized current and power calculation logic, the accuracy and repeatability of SOP estimation are greatly improved.

[0061] Fourth, the process is clear and the steps are well-defined, allowing for direct engineering applications. It is adaptable to power batteries with different numbers of individual cells and has strong applicability. Attached Figure Description

[0062] Figure 1This is a flowchart of a power battery SOP estimation method provided by one or more embodiments of the present invention.

[0063] Figure 2 This is a structural diagram of a power battery SOP estimation system provided by one or more embodiments of the present invention.

[0064] Figure 3 This is a block diagram of an electronic device structure for a power battery SOP estimation method provided in one or more embodiments of the present invention. Detailed Implementation

[0065] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0066] Figure 1 This is a flowchart of a power battery SOP estimation method provided by one or more embodiments of the present invention.

[0067] like Figure 1 The power battery SOP estimation method shown includes:

[0068] Step S1: After the system is powered on, the real-time current is acquired through the current sensor. The voltage of all individual cells in the power battery is obtained through a sampling circuit. , … ,in This refers to the number of monomers;

[0069] Step S2, for all individual cell voltages , … Take the minimum value, and denote it as the minimum unit voltage. ;

[0070] Step S3, based on the current and minimum single-cell voltage The parameters of the power battery are identified online to obtain the open-circuit voltage. Ohmic internal resistance Polarization internal resistance and time constant ;

[0071] Step S4, based on current Minimum unit voltage And the battery parameters obtained in S3, combined with the discharge cutoff voltage Calculate the maximum allowable current of the current single unit based on the time interval ∆t. ;

[0072] Step S5, based on the current maximum allowable current of the single unit obtained in S4. Obtain the current maximum allowable power of a single unit. ;

[0073] Step S6, based on the current maximum allowable power of the single unit obtained in S5. Get the current maximum allowable power of the battery pack. .

[0074] Specifically, in this application, after the system is powered on, it acquires the real-time current I through a current sensor, obtains the voltages of all individual cells of the power battery U1, U2...Un through a sampling circuit, and takes the minimum value to obtain the minimum cell voltage Umin. Based on the current I and Umin, it identifies core parameters such as OCV, ohmic internal resistance R0, polarization internal resistance R1, and time constant τ online. Then, it sequentially calculates the current maximum allowable current Imax of the cell, the maximum allowable power of the cell P_cell maximum, and the maximum allowable power of the battery pack P_battery pack maximum. This claim mainly solves the technical problems of existing temperature-SOC-power MAP table methods that discount the actual power capability, cause power deviation due to SOC estimation errors, and cannot achieve real-time SOP estimation. It achieves the effects of avoiding reliance on SOC table lookup, eliminating the influence of SOC estimation errors, and estimating the power battery SOP in real time, while improving the accuracy of SOP estimation and fully utilizing the actual power capability of the battery.

[0075] In this embodiment, online identification of power battery parameters includes:

[0076] The recursive least squares method is used to identify the parameters of the power battery online.

[0077] Specifically, in this application, step S3 is defined as using the recursive least squares method for online identification of power battery parameters. This feature addresses the problems of insufficient accuracy, poor real-time performance, and lack of standardization in general parameter identification methods. By adapting the recursive least squares method to the characteristics of online real-time calculation, it not only improves the identification accuracy of core battery parameters but also provides reliable data support for subsequent current and power calculations, resulting in faster response speeds and better suitability for engineering application needs.

[0078] In this embodiment, the online identification of power battery parameters using the recursive least squares method includes:

[0079] Step S31: Establish a first-order equivalent circuit model. The first-order equivalent circuit model satisfies the following formulas:

[0080] and ;

[0081] The transfer functions derived based on the first-order equivalent circuit model include:

[0082] ;

[0083] Step S32: Perform a bilinear transformation on the above equation and rearrange to obtain:

[0084] ;

[0085] in The current at the current moment; This represents the current terminal voltage. This is the open-circuit voltage at the current moment; , , For the corresponding coefficients; ; This is the current sampling time;

[0086] Step S33: Determine the system output. Measurement vector (transpose)

[0087] ; Vector to be estimated ;

[0088] Step S34: Obtain the terminal voltage and current information collected by the battery management system;

[0089] Step S35: Perform recursive least squares calculations to identify the power battery parameters;

[0090] Wherein, according to the formula Obtain the open-circuit voltage ;

[0091] According to the formula Obtain the internal resistance of the ohm ;

[0092] According to the formula Obtain the time constant ;

[0093] According to the formula Obtaining polarization internal resistance .

[0094] Specifically, this application establishes a first-order equivalent circuit model and derives the transfer function. After performing a bilinear transformation on the transfer function, the expressions for the system output, measurement vector, and estimated vector are determined. Recursive least squares calculations are then performed using the terminal voltage and current information collected by the battery management system, and the parameter conversion formulas are clearly defined. This feature solves the problems of the recursive least squares method lacking a specific execution process, being difficult to implement in engineering, and having a lack of standardized logic in the parameter identification process, which can easily lead to deviations. By standardizing and completing the identification process, identification errors are reduced, ensuring the consistency and accuracy of parameters such as OCV and R0, while also enabling the engineering application of the method.

[0095] In this embodiment, it includes:

[0096] Current maximum allowable current of a single unit The calculation satisfies the formula:

[0097] ;

[0098] in, The duration is 10s, 30s, or 60s.

[0099] Specifically, this application specifies the time interval Δt as 10s, 30s, or 60s and clarifies the calculation formula for the maximum allowable current Imax of a single cell. This formula includes key parameters such as OCV, discharge cutoff voltage U_cutoff, polarization resistance R1, and time constant τ. This feature addresses the lack of time adaptability and logical ambiguity in the calculation of the maximum allowable current of a single cell. By allowing selectable Δt to adapt to different usage scenarios, the formulaic calculation logic improves the accuracy and repeatability of Imax calculation, providing a precise current input for subsequent power calculations and further optimizing the SOP estimation results.

[0100] In this embodiment, it includes:

[0101] Current maximum allowable power of a single unit The calculation satisfies the formula:

[0102] = .

[0103] Specifically, in this application, the calculation logic for the maximum allowable power of a single cell is defined as P_maximum_single_cell = Imax × Umin. This feature solves the problem of the lack of a unified standard and the susceptibility to errors in calculating the maximum allowable power of a single cell, simplifies the single-cell power calculation process, and is logically clear and easy to execute. At the same time, the calculation based on the minimum single-cell voltage Umin ensures the operational safety of the battery cells, ensures the consistency of single-cell power calculation, and lays the foundation for the derivation of battery pack power.

[0104] In this embodiment, it includes:

[0105] Current maximum allowable power of battery pack The calculation satisfies the formula:

[0106] = ,in, This refers to the number of individual battery cells.

[0107] Specifically, in this application, the calculation logic for the maximum allowable power of the battery pack is P_maximum_battery_pack = n × P_maximum_cell_ (where n is the number of individual cells). This feature solves the problem of unclear and difficult-to-determine relationship between battery pack power and individual cell power. It directly derives the battery pack power based on individual cell power, resulting in efficient calculations and realistic results. It fully covers the power recursion chain from individual cells to the battery pack, thus improving the overall process of SOP estimation.

[0108] Specifically, in this application: the first-order equivalent circuit model and transfer function; the polarization voltage formula: ;(in: Polarization voltage, For real-time current, For polarization internal resistance, The interval time, (where time is constant); terminal voltage formula: ;(in: Terminal voltage, This is the open-circuit voltage (related to SOC). (where the internal resistance is ohmic); transfer function: ;(in: Polarized capacitor, (For complex frequency variables).

[0109] Bilinear transformation and related vector definition; formula after bilinear transformation: ;(in: Let k be the terminal voltage. Let k be the terminal voltage at time k-1. Let the current be at time k. Let the current be at time k-1. These are the bilinear transform coefficients. (Open-circuit voltage at time k); System output: Measurement vector (transpose): Vector to be estimated: .

[0110] Parameter identification and conversion formula (recursive least squares method); Open circuit voltage (OCV): ;(in: For the vector to be estimated The corresponding identification results For the vector to be estimated (Corresponding identification results); Ohmic internal resistance : Time constant : Polarization internal resistance : .

[0111] Maximum allowable current and power calculation; Maximum allowable current for a single unit: ;(in: This is the discharge cutoff voltage. (Interval time, selectable 10s / 30s / 60s); Maximum allowable power per unit: ;(in: (Minimum of all individual cell voltages); Maximum allowable power of the battery pack: (where n is the number of individual cells in the power battery).

[0112] Figure 2 This is a structural diagram of a power battery SOP estimation system provided by one or more embodiments of the present invention.

[0113] like Figure 2 The power battery SOP estimation system shown includes:

[0114] The current acquisition module is used to acquire the real-time current through a current sensor after the system is powered on. The voltage of all individual cells in the power battery is obtained through a sampling circuit. , … ,in This refers to the number of monomers;

[0115] Voltage processing module: used for processing the voltage of all individual cells. , … Take the minimum value, and denote it as the minimum unit voltage. ;

[0116] Parameter identification module: used to identify parameters based on current. and minimum single-cell voltage The parameters of the power battery are identified online to obtain the open-circuit voltage. Ohmic internal resistance Polarization internal resistance and time constant ;

[0117] Individual Allowable Current Calculation Module: Used for current-based calculations Minimum unit voltage And battery parameters, combined with discharge cutoff voltage Calculate the maximum allowable current of the current single unit based on the time interval ∆t. ;

[0118] Individual Unit Allowable Power Calculation Module: Used to calculate the maximum allowable current of the current individual unit. Obtain the current maximum allowable power of a single unit. ;

[0119] Battery pack allowable power calculation module: used to calculate the maximum allowable power of the current single cell. Get the current maximum allowable power of the battery pack. .

[0120] It is worth noting that although this system / device only discloses the above-mentioned modules / units, it does not mean that this system / device is limited to the above-mentioned basic functional modules. On the contrary, what this invention intends to express is that, based on the above-mentioned basic functional modules, those skilled in the art can add one or more functional modules in combination with the prior art to form an infinite number of embodiments or technical solutions. That is to say, this system is open rather than closed. It cannot be assumed that the scope of protection of the claims of this invention is limited to the above-disclosed basic functional modules just because this embodiment only discloses a few basic functional modules.

[0121] In one specific embodiment, a method for estimating the state of operation (SOP) of a power battery is disclosed. This method employs a parameter identification method to obtain battery parameters and then calculates the SOP, enabling real-time estimation of the power battery's SOP. The method includes:

[0122] S1: After the system is powered on, the real-time current I is obtained through the current sensor, and the voltages of all individual cells U1, U2...U are obtained through the sampling circuit. n where n is the number of individuals;

[0123] S2: For all individual unit voltages U1, U2…U n Take the minimum value, denoted as the minimum unit voltage U. min ;

[0124] S3: Based on current I and minimum unit voltage U min The system identifies power battery parameters online and obtains battery parameters such as OCV, ohmic internal resistance, polarization internal resistance, and time constant.

[0125] S4: Based on current I and minimum unit voltage U min The battery parameters such as OCV, ohmic internal resistance, polarization internal resistance, and time constant obtained by S3 are used to calculate the maximum allowable current of the current single cell.

[0126] S5: Calculate the maximum allowable power of the current single cell based on the current maximum allowable current calculated in S4;

[0127] S6: Calculate the current maximum allowable power of the battery pack based on the current maximum allowable power of the single cell calculated in S5.

[0128] Specifically, the following steps are included:

[0129] S1: After the system is powered on, the real-time current I is obtained through the current sensor, and the voltages of all individual cells U1, U2...U are obtained through the sampling circuit. n n is the number of individual battery cells;

[0130] S2: For all individual unit voltages U1, U2…U n Take the minimum value, denoted as the minimum unit voltage U. min ;

[0131] S3: Based on current I and minimum unit voltage U min The system performs online identification of power battery parameters, obtaining battery parameters such as OCV, ohmic internal resistance, polarization internal resistance, and time constant. Optionally, the identification can be performed using the recursive least squares method.

[0132] The online identification process of recursive least squares is as follows:

[0133] Step S3 includes S31 to S35;

[0134] S31: Establish a first-order equivalent circuit model;

[0135] ;

[0136] ;

[0137] After a simple transformation, the transfer function is obtained as follows:

[0138] ;

[0139] S32: Performing a bilinear transformation on the above equation and rearranging, we get:

[0140] ;

[0141] Where I k For current, U t , k This represents the terminal voltage. a1, a2, and a3 are the corresponding coefficients.

[0142] S33: The expressions for determining the system output, measurement vector, and estimated vector are as follows:

[0143] ;

[0144] ;

[0145] ;

[0146] S34: Obtain terminal voltage and current information collected by the battery management system;

[0147] S35: By performing recursive least squares calculations, the parameters of the power battery can be identified;

[0148] Where, OCV = θ1 / (1-θ2);

[0149] ;

[0150] ;

[0151] ;

[0152] S4: Based on current I and minimum unit voltage U min The maximum allowable current of a single cell is calculated using battery parameters such as OCV, ohmic internal resistance, polarization internal resistance, and time constant obtained from S3. Here, U is the discharge cutoff voltage; Δt can be determined according to usage requirements, and can be selected as 10s, 30s, 60s, etc.

[0153] ;

[0154] S5: Calculate the maximum allowable power of the current single cell based on the current maximum allowable current calculated in S4;

[0155] The specific method is as follows: ;

[0156] S6: Calculate the current maximum allowable power of the battery pack based on the current maximum allowable power of the single cell calculated in S5;

[0157] The specific method is as follows: n represents the number of individual battery cells.

[0158] In the above embodiments, "s" is the complex frequency variable in the Laplace transform, which is mainly used to transform the time-domain circuit model of the power battery (which describes the change of physical quantities with time t) into a complex frequency domain model, simplifying circuit analysis and transfer function derivation.

[0159] "t" is a variable representing "continuous time," primarily used to describe the "time dimension progress" during the operation of a power battery. It also serves as a subscript to identify the physical quantity corresponding to time.

[0160] “k” is the time index in the recursive least squares method, representing the current sampling time. The corresponding “k-1” represents the “previous sampling time of the current time”. The core function is to distinguish the collected data and calculation results at different time points.

[0161] Figure 3 This is a block diagram of an electronic device structure for a power battery SOP estimation method provided in one or more embodiments of the present invention.

[0162] like Figure 3 As shown, this application provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0163] The memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of a power battery SOP estimation method.

[0164] This application also provides a computer-readable storage medium storing a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of a power battery SOP estimation method.

[0165] This application also provides a vehicle platform, including:

[0166] Electronic equipment, steps for power battery SOP estimation method;

[0167] The processor runs a program that, when running, executes the steps of the power battery SOP estimation method based on data output from the electronic device.

[0168] Storage medium for storing programs that, when running, execute steps of the power battery SOP estimation method based on data output from electronic devices.

[0169] The communication bus mentioned in the above electronic devices can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not indicate that there is only one bus or one type of bus.

[0170] The electronic device includes a hardware layer, an operating system layer running on top of the hardware layer, and an application layer running on the operating system. The hardware layer includes hardware such as a central processing unit (CPU), a memory management unit (MMU), and memory. The operating system can be any one or more computer operating systems that control the electronic device through processes, such as Linux, Unix, Android, iOS, or Windows. Furthermore, in this embodiment of the invention, the electronic device can be a smartphone, tablet computer, or other handheld device, or a desktop computer, portable computer, or other electronic device; there is no particular limitation in this embodiment.

[0171] In this embodiment of the invention, the executing entity for electronic device control can be an electronic device itself, or a functional module within an electronic device capable of calling and executing a program. The electronic device can obtain the firmware corresponding to the storage medium. This firmware is provided by the supplier, and different storage media may have the same or different firmware; no limitation is made here. After obtaining the firmware corresponding to the storage medium, the electronic device can write this firmware into the storage medium; specifically, it burns the firmware corresponding to the storage medium into the storage medium. The process of burning the firmware into the storage medium can be implemented using existing technology, and will not be elaborated upon in this embodiment of the invention.

[0172] Electronic devices can also obtain reset commands corresponding to storage media. These reset commands are provided by the supplier, and the reset commands for different storage media can be the same or different, which is not limited here.

[0173] At this time, the storage medium of the electronic device is a storage medium on which the corresponding firmware has been written. The electronic device can respond to the reset command corresponding to the storage medium on which the corresponding firmware has been written, thereby resetting the storage medium on which the corresponding firmware has been written according to the reset command. The process of resetting the storage medium according to the reset command can be implemented by existing technology and will not be described in detail in this embodiment of the invention.

[0174] For ease of description, the above devices are described separately by function as various units and modules. Of course, in implementing this application, the functions of each unit and module can be implemented in one or more software and / or hardware.

[0175] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the meaning consistent with their meaning in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined.

[0176] For the sake of simplicity, the method embodiments are described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0177] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of this application.

[0178] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for estimating the start-up cost (SOP) of a power battery, characterized in that, The method for estimating the state-of-the-art (SOP) of the power battery includes: Step S1: After the system is powered on, the real-time current is acquired through the current sensor. The voltage of all individual cells in the power battery is obtained through a sampling circuit. , … ,in This refers to the number of monomers; Step S2, for all individual cell voltages , … Take the minimum value, and denote it as the minimum unit voltage. ; Step S3, based on the current and minimum unit voltage The parameters of the power battery are identified online to obtain the open-circuit voltage. Ohmic internal resistance Polarization internal resistance and time constant ; Step S4, based on the current Minimum unit voltage And the battery parameters obtained in S3, combined with the discharge cutoff voltage Calculate the maximum allowable current of the current single unit based on the time interval ∆t. ; Step S5, based on the current maximum allowable current of the single unit obtained in S4. Obtain the current maximum allowable power of a single unit. ; Step S6, based on the current maximum allowable power of the single unit obtained in S5. Get the current maximum allowable power of the battery pack. .

2. The power battery SOP estimation method according to claim 1, characterized in that, The online identification of power battery parameters includes: The recursive least squares method is used to identify the parameters of the power battery online.

3. The power battery SOP estimation method according to claim 2, characterized in that, The online identification of power battery parameters using the recursive least squares method includes: Step S31: Establish a first-order equivalent circuit model, wherein the first-order equivalent circuit model satisfies the following formulas: and ; The transfer function derived based on the first-order equivalent circuit model includes: ； Step S32: Perform a bilinear transformation on the above equation and rearrange to obtain: ； in The current at the current moment; This represents the current terminal voltage. This is the open-circuit voltage at the current moment; , , For the corresponding coefficients; ; This is the current sampling time; Step S33: Determine the system output. Measurement vector ; Vector to be estimated ; Step S34: Obtain the terminal voltage and current information collected by the battery management system; Step S35: Perform recursive least squares calculations to identify the power battery parameters; Wherein, according to the formula Obtain the open-circuit voltage ; According to the formula Obtain the internal resistance of the ohm ; According to the formula Obtain the time constant ; According to the formula Obtaining polarization internal resistance .

4. The power battery SOP estimation method according to claim 1, characterized in that, include: Current maximum allowable current of a single unit The calculation satisfies the formula: ； in, The duration is 10s, 30s, or 60s.

5. The power battery SOP estimation method according to claim 1, characterized in that, include: Current maximum allowable power of a single unit The calculation satisfies the formula: = 。 6. The power battery SOP estimation method according to claim 1, characterized in that, include: Current maximum allowable power of battery pack The calculation satisfies the formula: = ,in, This refers to the number of individual battery cells.

7. A power battery SOP estimation system, characterized in that, The power battery SOP estimation system includes: The current acquisition module is used to acquire the real-time current through a current sensor after the system is powered on. The voltage of all individual cells in the power battery is obtained through a sampling circuit. , … ,in This refers to the number of monomers; Voltage processing module, used for processing the voltage of all individual cells. , … Take the minimum value, and denote it as the minimum unit voltage. ; Parameter identification module, used to identify parameters based on the current. and minimum unit voltage The parameters of the power battery are identified online to obtain the open-circuit voltage. Ohmic internal resistance Polarization internal resistance and time constant ; Individual allowable current calculation module, used to calculate based on the current Minimum unit voltage And battery parameters, combined with discharge cutoff voltage Calculate the maximum allowable current of the current single unit based on the time interval ∆t. ; The single-unit allowable power calculation module is used to calculate the maximum allowable current of the current single unit. Obtain the current maximum allowable power of a single unit. ; The battery pack allowable power calculation module is used to calculate the maximum allowable power of the current single cell. Get the current maximum allowable power of the battery pack. .

8. An electronic device, characterized in that, include: The processor, communication interface, memory, and communication bus are connected, with the processor, communication interface, and memory communicating with each other via the communication bus. The memory stores a computer program that, when executed by a processor, causes the processor to perform the steps of the power battery SOP estimation method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The device stores a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of the power battery SOP estimation method as described in any one of claims 1 to 6.

10. A vehicle platform, characterized in that, include: An electronic device for implementing the steps of the power battery SOP estimation method as described in any one of claims 1 to 6; A processor that runs a program that, when the program is running, performs the steps of the power battery SOP estimation method as described in any one of claims 1 to 6 from data output by the electronic device. A storage medium for storing a program that, when running, performs the steps of the power battery SOP estimation method as described in any one of claims 1 to 6 on data output from an electronic device.

Images