Capacity detection method and system for automobile emergency power supply

Abstract

The invention relates to the technical field of power supply capacity detection, and discloses a capacity detection method and system for an automobile emergency power supply. The method comprises the steps of determining the rated capacity of the automobile emergency power supply; according to the rated capacity, connecting the automobile emergency power supply to a load of an electricity measurer to carry out a discharge test, and recording discharge data; inputting the discharge data into an actual capacity mathematical model established based on a deep learning algorithm to obtain the actual capacity and the residual capacity of the automobile emergency power supply; calculating an electric quantity attenuation value of the automobile emergency power supply according to the actual capacity and the discharge data; and determining a power supply working scheme of the automobile emergency power supply according to the residual capacity, the actual capacity sum, the discharge data and the electric quantity attenuation value. According to the method, the accuracy of battery capacity detection can be effectively improved, and then a reasonable power supply working scheme is determined.

Description

Technical Field

[0001] The present invention relates to the technical field of power capacity detection, and in particular to a capacity detection method and system for an automobile emergency power supply. Background Art

[0002] In order to provide a stable and uninterrupted power supply to the electrical equipment on the car, an emergency power supply (usually a lithium series battery) is usually installed next to the car battery to enhance the power supply capacity and stability. Emergency power supplies usually use lead-acid batteries, lithium batteries, lithium polymer batteries and other batteries with a certain storage capacity to ensure the normal operation of the electrical equipment on the car in emergency situations such as unstable voltage or car battery failure.

[0003] There are two main methods for detecting the capacity of existing on-board emergency power supplies. One is to measure the capacity of the car battery and the emergency power supply and compare whether the difference between the two meets the capacity requirements; the other is to measure the voltage of the emergency power supply when the car battery is disconnected and short-circuited to determine whether its capacity is sufficient.

[0004] Although the above methods can roughly detect the capacity of the emergency power supply, both detection methods require the use of additional external measuring instruments. When the vehicle battery capacity cannot be measured or the on-board equipment has failed, the above two methods cannot be used. At the same time, the specific operating conditions of the electrical equipment carried by the car, as well as state factors such as discharge duration and ambient temperature are not considered, resulting in low reliability of the determined power supply working plan.

[0005] In summary, the existing technology cannot meet the current high requirements for vehicle emergency power supply capacity detection, which leads to low reliability of the determined power supply working scheme. Summary of the invention

[0006] The present invention provides a capacity detection method and system for an automobile emergency power supply, which can effectively improve the accuracy of battery capacity detection and further determine a reasonable power supply working plan.

[0007] In a first aspect, in order to solve the above technical problems, the present invention provides a capacity detection method for an automobile emergency power supply, comprising: Determine the rated capacity of the vehicle emergency power supply; According to the rated capacity, the automobile emergency power supply is connected to the electrical load for discharge test, and the discharge data is recorded; Inputting the discharge data into an actual capacity mathematical model established based on a deep learning algorithm to obtain the actual capacity and remaining capacity of the vehicle emergency power supply; Calculating the power attenuation value of the automobile emergency power supply according to the actual capacity and the discharge data; A power supply working scheme of the automobile emergency power supply is determined according to the remaining capacity, the actual capacity, the discharge data and the power attenuation value.

[0008] Preferably, the step of determining the rated capacity of the automobile emergency power supply comprises: Obtaining production process parameters of the automotive emergency power supply; wherein the production process parameters include electrolyte ratio, alloy thickness, electrolyte injection amount, negative electrode sheet assembly pressure, sealing pressure, formation charging current, formation charging time, initial discharge voltage, and internal material density; The production process parameters are combined and compared with the actual capacity of the automobile emergency power supply of the same level and type to obtain the rated capacity of the automobile emergency power supply.

[0009] Preferably, the discharge data includes: discharge time, discharge cut-off voltage, ambient temperature and discharge current.

[0010] Preferably, the actual capacity mathematical model is specifically: In the formula, are two virtual extreme values, positive and negative, and , , related; It is the internal resistance of the car emergency power supply; It is the polarization internal resistance of the automobile emergency power supply; The ohmic internal resistance of the car emergency power supply; is the discharge time; It is the discharge cut-off voltage of the car emergency power supply, in volts; is the ambient temperature of the vehicle emergency power supply, in degrees Celsius; is the power parameter coefficient, which is a constant; is a function that takes into account the effects of cut-off voltage and ambient temperature. ,in, and is a constant obtained by fitting the experimental data; The actual capacity of the vehicle emergency power supply; is the discharge current.

[0011] Preferably, the remaining capacity is a ratio of the rated capacity to the actual capacity.

[0012] Preferably, the calculating the power attenuation value of the automobile emergency power supply according to the actual capacity and the discharge data includes: The power attenuation value is calculated using the following formula: In the formula, is the discharge time; It is the polarization internal resistance of the automobile emergency power supply; The ohmic internal resistance of the car emergency power supply; The ambient temperature of the car emergency power supply; is the discharge current; is the power attenuation value; is the temperature-dependent attenuation coefficient.

[0013] Preferably, determining the power supply working scheme of the automobile emergency power supply according to the remaining capacity, the actual capacity, the discharge data and the power attenuation value includes: Calculating a capacity difference between the actual capacity and the power attenuation value; When the remaining capacity is greater than the capacity difference, the output includes a recommended power supply operation plan; When the remaining capacity is less than or equal to the capacity difference, the output includes a power supply operation plan suggesting charging or replacing the battery.

[0014] In a second aspect, the present invention provides a capacity detection device for an automobile emergency power supply, comprising: A capacity determination module, used to determine the rated capacity of the vehicle emergency power supply; A discharge test module, used to connect the automobile emergency power supply to a test electrical load for a discharge test according to the rated capacity, and record the discharge data; A capacity calculation module, used for inputting the discharge data into an actual capacity mathematical model established based on a deep learning algorithm to obtain the actual capacity and remaining capacity of the vehicle emergency power supply; An attenuation calculation module, used to calculate the power attenuation value of the automobile emergency power supply according to the actual capacity and the discharge data; The scheme determination module is used to determine the power supply working scheme of the automobile emergency power supply according to the remaining capacity, the actual capacity, the discharge data and the power attenuation value.

[0015] In a third aspect, the present invention further provides an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements any one of the above-mentioned methods for detecting the capacity of an automobile emergency power supply when executing the computer program.

[0016] In a fourth aspect, the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned methods for detecting the capacity of an automobile emergency power supply.

[0017] Compared with the prior art, the present invention has the following beneficial effects: the embodiment of the present invention provides a capacity detection method and system for an automobile emergency power supply. The method includes: determining the rated capacity of the automobile emergency power supply; according to the rated capacity, connecting the automobile emergency power supply to the electrical load for discharge test, and recording the discharge data; inputting the discharge data into the actual capacity mathematical model established based on the deep learning algorithm to obtain the actual capacity and remaining capacity of the automobile emergency power supply; according to the actual capacity and the discharge data, calculating the power attenuation value of the automobile emergency power supply; according to the remaining capacity, the actual capacity, the discharge data and the power attenuation value, determining the power supply working plan of the automobile emergency power supply.

[0018] In the present invention, the method can accurately calculate the actual capacity and remaining capacity of the battery by determining the rated capacity of the automobile emergency power supply, combining the discharge test data and the deep learning algorithm, and perform a comprehensive battery performance evaluation. At the same time, the method can predict the service life of the battery, and generate a power supply working plan based on factors such as ambient temperature and current, helping users to reasonably arrange the use of the battery. The method can effectively improve the accuracy of battery capacity detection, and then determine a reliable power supply working plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of a method for detecting the capacity of an automobile emergency power supply provided by a first embodiment of the present invention; Figure 2 It is a structural schematic diagram of a capacity detection device for an automobile emergency power supply provided by a second embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Reference Figure 1 The first embodiment of the present invention provides a method for detecting the capacity of an automobile emergency power supply, comprising the following steps: S11, determine the rated capacity of the vehicle emergency power supply.

[0022] S12, according to the rated capacity, connecting the automobile emergency power supply to a tester load for a discharge test, and recording the discharge data.

[0023] S13, inputting the discharge data into an actual capacity mathematical model established based on a deep learning algorithm to obtain the actual capacity and remaining capacity of the automobile emergency power supply.

[0024] S14, calculating the power attenuation value of the automobile emergency power supply according to the actual capacity and the discharge data.

[0025] S15, determining a power supply working scheme of the automobile emergency power supply according to the remaining capacity, the actual capacity, the discharge data and the power attenuation value.

[0026] It is worth noting that in order to provide a stable and uninterrupted power supply to the electrical equipment on the car, an emergency power supply (usually a lithium series battery) is usually installed next to the car battery to enhance the power supply capacity and stability. Emergency power supplies usually use lead-acid batteries, lithium batteries, lithium polymer batteries and other batteries with a certain amount of storage capacity to ensure the normal operation of the electrical equipment on the car in emergency situations such as unstable voltage or car battery failure.

[0027] In order to facilitate the understanding of the present invention, some preferred embodiments of the present invention are further described below.

[0028] In step S11, the rated capacity of the vehicle emergency power supply needs to be determined first. Preferably, the rated capacity of the vehicle emergency power supply is determined, including: Obtain production process parameters of the automobile emergency power supply; wherein the production process parameters include electrolyte ratio, alloy thickness, electrolyte injection amount, negative electrode sheet assembly pressure, sealing pressure, formation charging current, formation charging time, initial discharge voltage, and internal material density; compare the production process parameters with the actual capacity of the automobile emergency power supply of the same level type to obtain the rated capacity of the automobile emergency power supply.

[0029] Specifically, the method for determining the rated capacity of the automotive emergency power supply includes obtaining production process parameters, such as electrolyte ratio, alloy thickness, electrolyte injection amount, etc., and then comparing them with the actual capacity of similar products to obtain the rated capacity of the power supply.

[0030] It is worth mentioning that the electrolyte is the medium for chemical reactions inside the battery, and its concentration and composition have a direct impact on the electrochemical reaction rate of the battery. Different electrolyte ratios affect the ion conductivity inside the battery, which in turn affects the discharge performance and capacity of the battery. Higher ion conductivity can increase the capacity of the battery. The alloy thickness of the electrode material inside the battery also directly affects the charge storage capacity of the battery. Thicker electrode materials can usually store more active substances, thereby increasing the capacity of the battery. However, too thick alloys may also increase the internal resistance of the battery and affect the discharge efficiency. Therefore, the alloy thickness needs to maintain appropriate conductivity while ensuring high capacity. The amount of electrolyte injected determines the total amount of electrolyte available for reaction in the battery. If the electrolyte is insufficient, some electrode materials may not react fully, reducing the effective capacity. Too much electrolyte may lead to waste of battery structure. Therefore, the right amount of electrolyte injection can ensure that the performance of the battery material is maximized. The assembly pressure of the negative electrode sheet will affect the internal structure density of the battery. Higher pressure can make the negative electrode sheet material contact more closely, improve the conductivity of the battery, thereby reducing the internal resistance and increasing the battery capacity. However, excessive pressure may cause material damage or active material failure. The sealing pressure affects the sealing of the internal environment of the battery. A good seal can reduce the volatilization of the electrolyte and the impact of the external environment on the battery reaction, thereby maintaining the long-term performance of the battery. Poor sealing can cause the battery capacity to drop rapidly during long-term use. Formation charging is the process of charging the battery for the first time during the battery production process. This step determines how the active materials in the battery form a stable electrochemical structure. The appropriate charging current and charging time can ensure that the electrode materials are fully activated to achieve the expected capacity. Too short a charging time may cause the battery to fail to reach its rated capacity, while too long a time may damage the battery. The initial discharge voltage reflects the health of the battery at the beginning of use. By monitoring the initial discharge voltage of the battery, it can be determined whether the chemical reaction inside the battery is in the optimal state, and then the capacity of the battery can be inferred. The density of the material inside the battery affects the overall energy storage capacity of the battery. Higher density materials can generally store more charge, thereby increasing the capacity of the battery. However, too high a material density may cause the battery reaction rate to slow down, affecting the discharge performance.

[0031] In summary, through detailed measurement and control of these production process parameters, combined with the actual capacity data of similar products, manufacturers can optimize the capacity performance of batteries during the design and manufacturing process of batteries. By adjusting these parameters, the rated capacity of the battery can be determined in the end.

[0032] In addition, the rated capacity can be determined by the following two methods: direct measurement method, which determines the rated capacity by measuring the actual discharge capacity of the battery. Under standard environmental conditions (such as specific temperature, discharge current, etc.), the battery is continuously discharged until the cut-off voltage is reached, and the total power of the battery is calculated based on the discharge time, current, etc. This method is suitable for direct measurement in laboratories and on-site; simulation method, with the help of mathematical modeling and simulation tools, by inputting the physical parameters of the battery (such as the internal resistance, chemical composition, etc. of the battery) and working conditions (such as current, temperature), the discharge curve of the battery under different conditions is predicted and calculated, and the rated capacity is obtained from it. This method can quickly evaluate battery performance and is suitable for batch testing during large-scale production.

[0033] In step S12, according to the rated capacity, the automobile emergency power supply is connected to the tester load for discharge test, and the discharge data is recorded. Preferably, the discharge data includes: discharge time, discharge cut-off voltage, ambient temperature and discharge current.

[0034] It is worth noting that the discharge time is the time from the start of discharge to the end of battery discharge (reaching the set cut-off voltage). It can be calculated by recording the start time at the beginning of the test, recording the stop time at the end of the test, and calculating the time difference between the two. The discharge cut-off voltage refers to the lowest allowable voltage reached by the battery during the discharge process. During the discharge process, the voltage change of the battery is monitored in real time, and the discharge is stopped when the voltage drops to the set cut-off value. The battery voltage gradually decreases during the discharge process, and the system automatically determines when the cut-off voltage is reached. The ambient temperature refers to the ambient temperature of the battery during the test. Since the temperature affects the discharge characteristics of the battery, the ambient temperature needs to be recorded during the discharge test. Specifically, a temperature sensor is usually installed around the battery or in the test environment to continuously monitor and record temperature changes. The discharge current refers to the current that the battery passes through the load during the discharge process. The current change is usually monitored in real time by a current sensor installed on the battery output line. The discharge current may change with time and battery voltage changes, and needs to be continuously monitored.

[0035] Specifically, the discharge test is usually integrated into an automated measurement system, connected to various sensors (voltage, temperature, current, etc.), and all measurement data is recorded through a computer or data logger. The system regularly collects and stores data during the test and generates detailed discharge curves and data information. After the discharge test is completed, the data can be analyzed through subsequent steps to evaluate the actual capacity of the battery.

[0036] In step S13, the discharge data is input into an actual capacity mathematical model established based on a deep learning algorithm to obtain the actual capacity and remaining capacity of the automobile emergency power supply.

[0037] In a preferred embodiment, the actual capacity mathematical model is specifically: In the formula, are two virtual extreme values, positive and negative, and , , related; It is the internal resistance of the car emergency power supply; It is the polarization internal resistance of the automobile emergency power supply; The ohmic internal resistance of the car emergency power supply; is the discharge time; It is the discharge cut-off voltage of the car emergency power supply, in volts; is the ambient temperature of the vehicle emergency power supply, in degrees Celsius; is the power parameter coefficient, which is a constant; is a function that takes into account the effects of cut-off voltage and ambient temperature. ,in, and is a constant obtained by fitting the experimental data; The actual capacity of the vehicle emergency power supply; is the discharge current.

[0038] This actual capacity mathematical model is used to calculate the actual capacity of the vehicle emergency power supply under specific conditions, combining discharge data such as the battery's internal resistance, current, discharge time, and ambient temperature.

[0039] Specifically, Represents the theoretical maximum value (i.e. virtual extreme value) of the battery capacity, which depends on the impedance characteristics of the battery, including internal resistance, polarization resistance and ohmic resistance. These impedance factors affect the discharge performance of the battery. In the actual discharge process, the actual capacity of the battery is usually lower than this theoretical maximum value. Exponential decay term It means that the capacity of the battery decreases as the discharge time and discharge current increase. It is an exponential decay term, which means that as time and current increase, the available capacity of the battery will decay exponentially. Is a constant (power parameter coefficient) used to adjust the battery's decay rate based on the specific characteristics of the battery. The internal resistance of the battery represents the physical properties inside the battery that hinder the flow of current. As discharge time increases, the effect of the internal resistance increases, resulting in a decrease in the actual capacity of the battery. It is the polarization internal resistance, which reflects the polarization phenomenon in the electrochemical reaction (such as the accumulation of charge on the electrode surface). The polarization internal resistance will also reduce the actual capacity of the battery as the discharge time increases. The ohmic internal resistance of the battery refers to the energy loss due to the inherent resistance of the battery material. The ohmic internal resistance will further reduce the actual capacity of the battery. Indicates the impact of the battery's discharge cut-off voltage and ambient temperature on the battery capacity. , and is a constant obtained by fitting the experimental data. It is the discharge cut-off voltage, which means that when the battery voltage drops to this value, the discharge process ends. A higher cut-off voltage usually means less energy is extracted. It is the ambient temperature. The temperature will affect the chemical reaction rate of the battery. High temperature generally increases the reaction speed, but it will also increase the aging rate of the battery, while low temperature will inhibit the chemical reaction and reduce the available capacity. The discharge current indicates the current flowing through the battery during the discharge process. The greater the discharge current, the greater the loss inside the battery, thus reducing the available capacity.

[0040] In general, this formula comprehensively considers the impact of the battery's discharge time, discharge current, internal resistance, polarization internal resistance, ohmic internal resistance, ambient temperature and discharge cut-off voltage on the actual capacity. Through these factors, the actual available capacity of the car emergency power supply under different usage conditions can be accurately calculated, thereby better evaluating the battery's performance and life. In another preferred embodiment, the actual capacity mathematical model is a linear fitting algorithm, and the fitting equation is as follows: In the formula, The actual capacity of the vehicle emergency power supply; is the ambient temperature; is the discharge current, obtained by sampling and derivation; is the discharge time; It is the discharge cut-off voltage of the automobile emergency power supply; and In order to fit the unknown coefficients in the equation, it is necessary to obtain them by fitting the experimental data.

[0041] This actual capacity mathematical model is based on a linear fitting algorithm and is used to calculate the actual capacity of the vehicle emergency power supply. The model describes the impact of various influencing factors (such as ambient temperature, discharge current, discharge time, and discharge cut-off voltage) on battery capacity by linear fitting of experimental data.

[0042] Specifically, It is the output value of the formula, which indicates the actual available capacity of the car emergency power supply under specific conditions. This value is calculated through discharge test data and fitting model, and the unit is usually ampere-hour. Is a scaling factor used to adjust the overall amplitude of the fitting result. It is a constant obtained by fitting the experimental data and is used to balance the impact of various parts in the formula on the actual capacity. Represents the ambient temperature (unit: Celsius). The ambient temperature has a significant effect on the chemical reaction rate of the battery. Higher temperatures usually speed up the reaction rate and increase the actual capacity, but too high a temperature may cause the battery to age faster; while lower temperatures inhibit the reaction and reduce the battery capacity. It is a fitting coefficient related to the ambient temperature, obtained by fitting the experimental data, and reflects the influence of temperature on the actual capacity. It is the discharge current, which indicates the current provided by the battery during the discharge process, and the unit is ampere (A). The larger the current, the greater the loss inside the battery, and the actual available capacity will be reduced accordingly. It is a fitting coefficient related to the discharge current, which describes the effect of the discharge current on the battery capacity and is obtained by fitting the experimental data. is the discharge time, in hours (h), indicating the duration of the battery discharge process. The longer the discharge time, the smaller the available capacity of the battery. is the fitting coefficient related to the discharge time, indicating the effect of the discharge time on the battery capacity. This coefficient is obtained by fitting the experimental data. The discharge cut-off voltage is measured in volts (V), which indicates the lowest voltage value at the end of battery discharge. A higher cut-off voltage usually means more remaining energy, so the available capacity will be lower. It is the fitting coefficient related to the discharge cut-off voltage, reflecting the influence of the cut-off voltage on the actual capacity, and is obtained by fitting the experimental data. is a constant term that represents the offset or baseline value in the fitting equation. It ensures that the model reflects the basic capacity of the battery when all variables are zero. This constant is also obtained by fitting experimental data.

[0043] It is worth noting that linear fitting refers to minimizing the error between the actual measured value and the predicted value of the formula by adjusting the coefficients in the formula, thereby obtaining the optimal mathematical model. These coefficients are fitted based on a large amount of experimental data to ensure that the model can accurately predict the actual capacity of the battery under different conditions. This model assumes that the relationship between the actual capacity and the temperature, discharge current, discharge time, and discharge cut-off voltage is a linear combination, which can simplify the calculation and provide an effective prediction of battery performance. In general, in the present invention, the linear fitting equation integrates the key factors affecting the actual capacity of the battery - ambient temperature, discharge current, discharge time, and discharge cut-off voltage - in a linear manner, and adjusts the model through experimental fitting coefficients so that it can accurately predict the actual capacity of the automotive emergency power supply under different conditions.

[0044] It is worth noting that the remaining capacity is usually calculated based on the rated capacity and actual capacity of the battery, and is used to measure the capacity of the battery that can be used in the current state. Specifically, the remaining capacity is the ratio of the rated capacity to the actual capacity, which reflects the health of the battery.

[0045] In step S14, the power attenuation value of the automobile emergency power supply is calculated according to the actual capacity and the discharge data. Preferably, the power attenuation value of the automobile emergency power supply is calculated according to the actual capacity and the discharge data, including: calculating the power attenuation value according to the discharge data; wherein the calculation formula of the power attenuation value is: In the formula, is the discharge time; It is the polarization internal resistance of the automobile emergency power supply; The ohmic internal resistance of the car emergency power supply; The ambient temperature of the car emergency power supply; is the discharge current; is the power attenuation value; is the temperature-dependent attenuation coefficient, which can be determined from experimental data. The power attenuation value model calculates the power attenuation value of the battery through multiple discharge data during the discharge process.

[0046] Specifically, It is the calculated power loss of the battery during the discharge process, that is, the capacity consumed by the battery under certain discharge conditions. It reflects the degree of attenuation of the battery during use, and the unit is usually ampere-hour (Ah). It is an important factor affecting battery attenuation, and its unit is ampere (A). The larger the discharge current, the higher the chemical reaction rate inside the battery. At the same time, the energy loss caused by resistance is also greater, so the attenuation will increase. is the duration of battery discharge, measured in hours (h). The longer the discharge time, the greater the battery power consumption, and the attenuation will also increase over time. The polarization internal resistance of the car emergency power supply refers to the resistance generated by the battery electrode during the electrochemical reaction, which reflects the polarization phenomenon (charge accumulation) of the electrode material. The larger the polarization internal resistance, the more energy loss and the greater the impact on the battery capacity. The ohmic internal resistance of the car emergency power supply is the inherent resistance of the battery's internal materials. As current passes through the battery, the resistance causes energy loss. It and the polarization internal resistance together affect the total internal resistance of the battery. It is a temperature correction term that reflects the effect of ambient temperature on the power attenuation value. It is the ambient temperature of the car emergency power supply, in degrees Celsius. The attenuation coefficient is temperature-dependent and can be determined through experimental data. It indicates the acceleration or retardation of battery attenuation due to temperature changes. When the temperature is high, the chemical reaction speeds up and the attenuation speed also increases; while low temperature inhibits the chemical reaction and reduces the battery attenuation speed.

[0047] In a preferred embodiment, according to the power decay value model, the next step is to predict the life of the battery according to the power decay value and the actual capacity of the battery. Specifically, the power decay value under the current discharge conditions is calculated by the above formula. This value can represent the amount of power lost by the battery during a discharge process. The power decay value is compared and analyzed with the actual capacity, and the actual capacity represents the maximum capacity that the battery can currently provide. By calculating the proportion of the power decay value to the actual capacity, the health status of the battery can be estimated. Based on the data of multiple discharge tests, it is predicted how many charge and discharge cycles the battery can maintain in future use, or the remaining life of the battery under specific working conditions is estimated. Usually, the life of a battery is defined based on its capacity decaying to a certain critical value (such as the remaining capacity is less than 80% or 50%).

[0048] In step S15, the power supply working scheme of the automobile emergency power supply is determined according to the remaining capacity, the actual capacity, the discharge data and the power attenuation value, including: calculating the capacity difference between the actual capacity and the power attenuation value; when the remaining capacity is greater than the capacity difference, outputting a power supply working scheme including a recommendation for use; when the remaining capacity is less than or equal to the capacity difference, outputting a power supply working scheme including a recommendation for charging or replacing the battery. The power supply working scheme is used to generate a power supply working scheme for the automobile emergency power supply according to the battery status information (such as the remaining capacity, actual capacity, power attenuation value, etc.). Two different operation suggestions are defined in the formula, depending on the current state of the battery.

[0049] Specifically, the battery power scheme can have two values ​​- "Recommended for use": the battery is in good condition and can continue to be used. "Recommended to charge or replace the battery": the remaining capacity of the battery is insufficient and needs to be charged or replaced. The remaining capacity, usually in ampere-hours (Ah), is calculated based on the current state of the battery. This represents the available capacity that the battery can still provide under the current conditions. The actual capacity is the capacity value obtained by measurement or model calculation, which represents the maximum capacity that the battery can theoretically provide under the current state. The power decay value is the power loss caused by various factors such as internal resistance and polarization during the use of the battery. It reflects the capacity lost by the battery due to aging or use, usually in ampere-hours (Ah). The ambient temperature unit is degrees Celsius (℃). Temperature affects the chemical reaction rate of the battery, which in turn affects the performance and capacity decay of the battery. Power parameters are constants used to adjust or describe battery characteristics, and play a role in scaling or weight adjustment in the model. It is a virtual extreme value related to the internal resistance, polarization resistance and ohmic resistance of the battery. It is used to describe the theoretical maximum capacity of the battery, reflecting the electrochemical characteristics of the battery and its impact on the battery capacity.

[0050] Specifically, when the remaining capacity is greater than the value of the actual capacity minus the power attenuation value, it means that the battery still has enough capacity to meet the current power demand and the battery is in good condition, so it is recommended to continue using it. When the remaining capacity is less than or equal to the value of the actual capacity minus the power attenuation value, it means that the battery is close to the lower limit of its available capacity, and the remaining capacity is insufficient to safely support normal use, and the battery may not be able to provide stable power supply. Therefore, the system will recommend that users charge or directly replace the battery to avoid power failures caused by insufficient power. This recommendation mechanism can effectively help users judge the current battery health and take corresponding actions to maintain battery performance and extend battery life.

[0051] The following describes the working process of the present invention by taking a relatively common scenario as an example. The working process is as follows: The system first obtains the production process parameters of the automotive emergency power supply, such as the electrolyte ratio, alloy thickness, and negative electrode assembly pressure. These parameters are used to calculate the design capacity of the battery. By comparing these production process parameters with the actual capacity of similar products, the system obtains the rated capacity of the battery.

[0052] Then, the system connects the car emergency power supply to the load test instrument for discharge test. According to the known rated capacity, the actual discharge operation is carried out and the discharge data, including discharge time, discharge cut-off voltage, ambient temperature and discharge current, are recorded in real time.

[0053] After the discharge test is completed, the system inputs the recorded discharge data into the actual capacity mathematical model established based on the deep learning algorithm. Through this model, the system calculates the actual capacity and remaining capacity of the vehicle emergency power supply.

[0054] The system further calculates the power attenuation value based on the actual capacity and discharge data. Using the mathematical model of power attenuation value, taking into account factors such as discharge time, polarization internal resistance, ohmic internal resistance and ambient temperature, the power loss of the battery in this test is obtained. By analyzing the relationship between the actual capacity and the attenuation, the system predicts the remaining life of the battery, that is, how many charge and discharge cycles the battery can maintain under normal use conditions.

[0055] Finally, the system generates a power work plan for the battery based on the remaining capacity, actual capacity, and power attenuation value. If the remaining capacity is greater than the actual capacity minus the power attenuation value, the system recommends continued use; if the remaining capacity is insufficient, it recommends charging or replacing the battery. The system records these recommendations in the service report to ensure that users understand the status of the battery and its maintenance needs.

[0056] In summary, the present invention provides a capacity detection method for an automobile emergency power supply, comprising: determining the rated capacity of the automobile emergency power supply; according to the rated capacity, connecting the automobile emergency power supply to an electrical load for a discharge test, and recording the discharge data; inputting the discharge data into an actual capacity mathematical model established based on a deep learning algorithm to obtain the actual capacity and remaining capacity of the automobile emergency power supply; according to the actual capacity and the discharge data, calculating the power attenuation value of the automobile emergency power supply; and determining the power supply working scheme of the automobile emergency power supply according to the remaining capacity, the actual capacity and the discharge data and the power attenuation value.

[0057] In the present invention, the method can accurately calculate the actual capacity and remaining capacity of the battery by determining the rated capacity of the automobile emergency power supply, combining the discharge test data and the deep learning algorithm, and perform a comprehensive battery performance evaluation. At the same time, the method can predict the service life of the battery, and generate a power supply working plan based on factors such as ambient temperature and current, helping users to reasonably arrange the use of the battery. The method can effectively improve the accuracy of battery capacity detection, and then determine a reasonable power supply working plan.

[0058] Reference Figure 2 The second embodiment of the present invention provides a capacity detection device for an automobile emergency power supply, comprising: A capacity determination module, used to determine the rated capacity of the vehicle emergency power supply; A discharge test module, used to connect the automobile emergency power supply to a test electrical load for a discharge test according to the rated capacity, and record the discharge data; A capacity calculation module, used for inputting the discharge data into an actual capacity mathematical model established based on a deep learning algorithm to obtain the actual capacity and remaining capacity of the vehicle emergency power supply; An attenuation calculation module, used to calculate the power attenuation value of the automobile emergency power supply according to the actual capacity and the discharge data; A scheme determination module is used to determine a power supply working scheme of the automobile emergency power supply according to the remaining capacity, the actual capacity, the discharge data and the power attenuation value.

[0059] In an optional implementation manner, the capacity determination module is specifically configured to: Obtaining production process parameters of the automotive emergency power supply; wherein the production process parameters include electrolyte ratio, alloy thickness, electrolyte injection amount, negative electrode sheet assembly pressure, sealing pressure, formation charging current, formation charging time, initial discharge voltage, and internal material density; The production process parameters are combined and compared with the actual capacity of the automobile emergency power supply of the same level and type to obtain the rated capacity of the automobile emergency power supply.

[0060] In an optional implementation manner, the capacity calculation module is specifically used to: Calculate the actual capacity, wherein the actual capacity mathematical model is specifically: In the formula, are two virtual extreme values, positive and negative, and , , related; It is the internal resistance of the car emergency power supply; It is the polarization internal resistance of the automobile emergency power supply; The ohmic internal resistance of the car emergency power supply; is the discharge time; It is the discharge cut-off voltage of the car emergency power supply, in volts; is the ambient temperature of the vehicle emergency power supply, in degrees Celsius; is the power parameter coefficient, which is a constant; is a function that takes into account the effects of cut-off voltage and ambient temperature. ,in, and is a constant obtained by fitting the experimental data; The actual capacity of the vehicle emergency power supply; is the discharge current.

[0061] In an optional implementation manner, the capacity calculation module is further specifically configured to: The remaining capacity is calculated, wherein the remaining capacity is a ratio of the rated capacity to the actual capacity.

[0062] In an optional implementation, the attenuation calculation module is further specifically used for: The power attenuation value is calculated using the following formula: In the formula, is the discharge time; It is the polarization internal resistance of the automobile emergency power supply; The ohmic internal resistance of the car emergency power supply; The ambient temperature of the car emergency power supply; is the discharge current; is the power attenuation value; is the temperature-dependent attenuation coefficient.

[0063] In an optional implementation, the solution determination module is specifically used to: Calculating a capacity difference between the actual capacity and the power attenuation value; When the remaining capacity is greater than the capacity difference, the output includes a recommended power supply operation plan; When the remaining capacity is less than or equal to the capacity difference, the output includes a power supply operation plan suggesting charging or replacing the battery.

[0064] It should be noted that the capacity detection device for an automobile emergency power supply provided in an embodiment of the present invention is used to execute all the process steps of the capacity detection method for an automobile emergency power supply in the above embodiment. The working principles and beneficial effects of the two correspond one to one, and thus will not be described in detail.

[0065] The embodiment of the present invention further provides an electronic device. The electronic device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a capacity detection method program for an automobile emergency power supply. When the processor executes the computer program, the steps in the above-mentioned capacity detection method embodiments of the automobile emergency power supply are implemented, such as Figure 1 Alternatively, when the processor executes the computer program, the functions of the modules / units in the above-mentioned device embodiments are implemented, such as the solution determination module.

[0066] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0067] The electronic device may be a computing device such as a desktop computer, a notebook, a PDA, and a smart tablet. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the above components are merely examples of electronic devices and do not constitute a limitation on the electronic device. The electronic device may include more or fewer components than the above components, or may combine certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0068] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device.

[0069] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0070] Wherein, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0071] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0072] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for detecting the capacity of an automobile emergency power supply, characterized in that: include: Determine the rated capacity of the vehicle emergency power supply; According to the rated capacity, the automobile emergency power supply is connected to the electrical load for discharge test, and the discharge data is recorded; Inputting the discharge data into an actual capacity mathematical model established based on a deep learning algorithm to obtain the actual capacity and remaining capacity of the vehicle emergency power supply; Calculating the power attenuation value of the automobile emergency power supply according to the actual capacity and the discharge data; A power supply working scheme of the automobile emergency power supply is determined according to the remaining capacity, the actual capacity, the discharge data and the power attenuation value.

2. The capacity detection method of the automobile emergency power supply according to claim 1 is characterized in that: Determining the rated capacity of the automobile emergency power supply includes: Obtaining production process parameters of the automotive emergency power supply; wherein the production process parameters include electrolyte ratio, alloy thickness, electrolyte injection amount, negative electrode sheet assembly pressure, sealing pressure, formation charging current, formation charging time, initial discharge voltage, and internal material density; The production process parameters are combined and compared with the actual capacity of the automobile emergency power supply of the same level and type to obtain the rated capacity of the automobile emergency power supply.

3. The capacity detection method of the automobile emergency power supply according to claim 1 is characterized in that: The discharge data includes: discharge time, discharge cut-off voltage, ambient temperature and discharge current.

4. The capacity detection method of the automobile emergency power supply according to claim 1 is characterized in that: The actual capacity mathematical model is specifically: In the formula, are two virtual extreme values, positive and negative, and , , related; It is the internal resistance of the car emergency power supply; It is the polarization internal resistance of the automobile emergency power supply; The ohmic internal resistance of the car emergency power supply; is the discharge time; It is the discharge cut-off voltage of the car emergency power supply, in volts; is the ambient temperature of the vehicle emergency power supply, in degrees Celsius; is the power parameter coefficient, which is a constant; is a function that takes into account the effects of cut-off voltage and ambient temperature. ,in, and is a constant obtained by fitting the experimental data; The actual capacity of the vehicle emergency power supply; is the discharge current.

5. The capacity detection method of the automobile emergency power supply according to claim 1 is characterized in that: The remaining capacity is a ratio of the rated capacity to the actual capacity.

6. The capacity detection method of the automobile emergency power supply according to claim 1 is characterized in that: The calculating the power attenuation value of the automobile emergency power supply according to the actual capacity and the discharge data includes: The power attenuation value is calculated using the following formula: In the formula, is the discharge time; It is the polarization internal resistance of the automobile emergency power supply; The ohmic internal resistance of the car emergency power supply; The ambient temperature of the car emergency power supply; is the discharge current; is the power attenuation value; is the temperature-dependent attenuation coefficient.

7. The capacity detection method of the automobile emergency power supply according to claim 6 is characterized in that: The step of determining the power supply working scheme of the automobile emergency power supply according to the remaining capacity, the actual capacity, the discharge data and the power attenuation value comprises: Calculating a capacity difference between the actual capacity and the power attenuation value; When the remaining capacity is greater than the capacity difference, the output includes a recommended power supply operation plan; When the remaining capacity is less than or equal to the capacity difference, the output includes a power supply operation plan suggesting charging or replacing the battery.

8. A capacity detection device for an automobile emergency power supply, characterized in that: include: A capacity determination module, used to determine the rated capacity of the vehicle emergency power supply; A discharge test module, used to connect the automobile emergency power supply to a test electrical load for a discharge test according to the rated capacity, and record the discharge data; A capacity calculation module, used for inputting the discharge data into an actual capacity mathematical model established based on a deep learning algorithm to obtain the actual capacity and remaining capacity of the vehicle emergency power supply; An attenuation calculation module, used to calculate the power attenuation value of the automobile emergency power supply according to the actual capacity and the discharge data; The scheme determination module is used to determine the power supply working scheme of the automobile emergency power supply according to the remaining capacity, the actual capacity, the discharge data and the power attenuation value.

9. An electronic device, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for detecting the capacity of an automobile emergency power supply as claimed in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the capacity detection method for the automobile emergency power supply according to any one of claims 1 to 7.

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