Electric quantity data management method and system for lithium thionyl chloride battery

By collecting ambient temperature and battery performance parameters, calculating the deviation coefficient of functional components and the battery capacity retention rate, establishing a linear regression model for expected power consumption, calculating the actual power of the device, and determining whether power calibration and alarm notification are performed based on the difference, The problem of inaccurate battery evaluation of lithium thionyl chloride batteries has been achieved, and intelligent power management has been achieved.

CN119438942APending Publication Date: 2025-02-14NANJING ZEAHO ELECTRONICS TECH CO LTD
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Patent Information

Application Number
CN202411539885.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-31
Publication Date
2025-02-14

AI Technical Summary

Technical Problem

The discharge curve of lithium thionyl chloride batteries is steep, which makes it difficult to accurately estimate the residual power. The existing technology cannot effectively evaluate the power changes of functional components and the battery capacity retention rate changes, resulting in insufficient accuracy in the power evaluation.

Method used

By collecting ambient temperature and battery performance parameters, calculate the deviation coefficient of the functional components and the battery capacity retention rate, establish a linear regression model for expected power consumption, calculate the actual power of the device, and judge whether power calibration and alarm notification are performed based on the difference.

Benefits of technology

It realizes intelligent power calibration evaluation and accurate power planning, and improves the efficiency and accuracy of power data monitoring and management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an electric quantity data management method and system for a lithium thionyl chloride battery, and belongs to the technical field of electric quantity management. The system comprises a data collection module, a state analysis module, an electric quantity management module and a visual storage module. The data collection module is used for collecting an external environment temperature of the equipment and a performance parameter comparison table of an internal lithium thionyl chloride battery as well as working modes and historical logs of all functional components; the state analysis module is used for calculating a deviation coefficient of a functional component, analyzing a capacity retention ratio of the lithium thionyl chloride battery and a deviation index of equipment according to a performance parameter comparison table, and judging whether the electric quantity is calibrated or not; the electric quantity management module calculates the predicted total power consumption of the functional assembly and the residual capacity of the lithium thionyl chloride battery, calculates the actual electric quantity of the equipment according to a historical log and judges whether to give an alarm notification or not; and the visual storage module displays the alarm notice and the actual electric quantity through a visual screen, automatically generates an operation record and stores the operation record in a historical log.
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Description

Technical Field

[0001] The present invention relates to the technical field of power management, and in particular to a power data management method and system for a lithium thionyl chloride battery. Background Art

[0002] Lithium thionyl chloride battery is a special battery with lithium metal as the negative electrode and thionyl chloride as the positive electrode. It is widely used in remote sensors, medical devices and wireless sensor devices. Although lithium thionyl chloride batteries have obvious advantages in energy density and storage capacity, their discharge curves usually show obvious steep characteristics. This means that the voltage changes very quickly during the entire discharge process, especially near the end of the discharge, the voltage quickly drops to an unusable level. This also poses a huge challenge to the accurate estimation of the remaining power.

[0003] At present, the remaining power estimation of lithium thionyl chloride batteries usually adopts the cumulative consumption method. First, the power and duration of all power-consuming functional components are multiplied to obtain the consumed power, and then the rated power of the battery is subtracted from the consumed power to obtain the remaining power. This method has certain problems. For example, during the use of the equipment, the capacity retention rate of the battery is affected by the external ambient temperature, and the power-consuming functional components will also change with the change of working mode or the influence of ambient temperature, resulting in differences in the power change amplitude of different functional components. The existing technology can neither quickly evaluate the power changes of functional components at the power-consuming end and the changes in battery capacity retention rate at the power supply end, nor can it dynamically measure the relationship between the degree of temperature influence between the two to calibrate the actual power, resulting in the evaluation of the remaining power of the battery not being accurate and effective. Therefore, at this stage, a more intelligent power data monitoring and management technical solution is needed to solve the above problems. Summary of the invention

[0004] The object of the present invention is to provide a method and system for managing power data of a lithium thionyl chloride battery to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for managing power data of a lithium thionyl chloride battery, comprising the following steps:

[0006] S100, when the device is turned on, collect the ambient temperature outside the device, as well as the performance parameter comparison table of the lithium thionyl chloride battery inside the device and the working mode and historical log of all power-consuming functional components.

[0007] S200, calculating the deviation coefficient of the functional component by combining the ambient temperature with the historical log, analyzing the capacity retention rate of the lithium thionyl chloride battery and the deviation index of the device according to the performance parameter comparison table, and determining whether to perform power calibration.

[0008] S300, calculating the estimated total power consumption of the functional components and the remaining capacity of the lithium thionyl chloride battery, analyzing the historical logs and calculating the actual power of the device, and determining whether to issue an alarm notification based on the difference between the displayed power and the actual power of the device.

[0009] S400, the alarm notification and actual power are displayed on the visual screen on the device, and when the device is shut down, the operation record is automatically generated and stored in the history log.

[0010] In S100, a device refers to an electronic instrument that uses a lithium thionyl chloride battery as the sole power supply. The performance parameter comparison table includes the capacity retention rate of the lithium thionyl chloride battery at different temperatures. The capacity retention rate refers to the percentage of the actual capacity relative to the rated capacity. The historical log refers to the operation record of the functional component during each device startup and shutdown. Each operation record includes the functional component, working mode, ambient temperature and power consumption change graph. The power consumption change graph refers to the relationship between the power consumption of the functional component and time.

[0011] The capacity retention rate is used to describe the ability of the actual capacity of the battery to maintain its rated capacity at different temperatures. Generally, the capacity retention rate of the battery will decrease as the temperature decreases. The specific value is set by the staff based on actual measurement conditions.

[0012] The operation record refers to the record of different functional components in different working modes. When the functional component stops running or switches the working mode, the drawing of the power consumption change graph is automatically stopped and the modification of the current operation record is ended, and a new operation record is regenerated.

[0013] In S200, the specific steps are as follows:

[0014] S201, establish an analysis library, mark the running functional components after the device is turned on, filter out the operation records of all marked functional components in the historical log and put them into the analysis library. Obtain the power consumption change graph in each operation record in the analysis library, evenly set M sampling points in the power consumption change graph in the time direction, sum the corresponding power consumption of all sampling points and calculate the average value as the average power consumption APW of the corresponding operation record.

[0015] S202. First classify the operation records in the analysis library according to functional components, and then group them according to the working mode in each category; count the number of groups h in the analysis library and establish a training set for each group, analyze the number of operation records U contained in each group, use the ambient temperature in the operation record as the independent variable and the average power consumption as the dependent variable, package the independent variables and dependent variables under each operation record into samples, and put these U samples into the training set corresponding to the group to which they belong.

[0016] S203, establish a linear regression model, substitute each training set into the training to obtain h expressions, and obtain the current ambient temperature tep now Substitute it into each expression and calculate the estimated power consumption of each group. Get the marked function component GZ n Current working mode mode n , find the functional component GZ in the analysis library n The corresponding class and the working mode mode under the class n The corresponding group.

[0017] The specific training process of the linear regression model is: take the independent variable in each sample as the input value, calculate the difference between the output result and the dependent variable of the corresponding sample, set the error threshold, and when the difference is less than the error threshold, mark the corresponding sample and calculate the next sample. In other cases, adjust the parameters of the regression coefficient and recalculate until all samples in the training set are marked. Among them, the expression of the linear regression model Q is:

[0018] Q=L0+L e d e

[0019] Where, L e is the e-th regression coefficient, d e is the e-th independent variable.

[0020] S204: Count the number of groups j under the class class in the statistical analysis library and obtain the estimated power consumption corresponding to the group group Calculate the average power consumption of all running records in the group and the average ambient temperature And the standard deviation of the estimated power consumption of all groups under the class Substitute the formula to calculate the marked function component GZ n The specific calculation formula of the deviation coefficient PX is as follows:

[0021]

[0022] In the formula, is the range of average power consumption in all running records in the i-th group under class, It is the range of ambient temperature in all running records in the i-th group under class.

[0023] The deviation coefficient indicates the degree to which the power of the marking functional component is affected by temperature. A larger deviation coefficient indicates that the power of the marking functional component is more susceptible to the influence of temperature during operation.

[0024] S205, calculate the deviation coefficient of each marking function component respectively, and convert the current ambient temperature tep now Substitute into the performance parameter comparison table of lithium thionyl chloride batteries and retrieve the corresponding capacity retention rate crr now , substitute into the formula to calculate the deviation index of the device. Set the index threshold PZ thr , when the deviation index of the device is greater than PZ thr The specific calculation formula of deviation index is as follows:

[0025]

[0026] Where PZ is the deviation index, α is a constant, r is the number of all labeled functional components, and PX v is the deviation coefficient of the vth labeling function component.

[0027] The deviation coefficient indicates the ratio of the temperature influence of the marked functional component to the temperature influence of the battery. When the influence of the two is the same, the deviation coefficient is small. For example, in a low temperature environment, the actual battery power decreases, but the power of the functional component also decreases. The battery life does not change significantly compared to the life at normal temperature. In this case, there is no need to enter the power calibration link.

[0028] In S300, the specific steps are as follows:

[0029] S301, according to the current working mode of each marked functional component, search and mark the corresponding group in the analysis library, obtain the estimated power consumption of each marked group, and sum them up as the estimated total power consumption EPW sum .

[0030] S302, obtain the historical logs of all functional components, analyze the power consumption change diagram of each operation record in the historical logs, obtain the average power and duration of each functional component in different working modes, substitute them into the formula to calculate the remaining capacity EL of the lithium thionyl chloride battery residue :

[0031]

[0032] In the formula, CP ed is the rated capacity of the lithium thionyl chloride battery, Voltage is the rated voltage of the lithium thionyl chloride battery, Voltage is the rated voltage of the lithium thionyl chloride battery, s is the number of all functional components, z is the number of working modes of the fth functional component, is the average power of the fth functional component in the bth working mode, is the total duration of the fth functional component in the bth working mode.

[0033] S303, count the total device startup time SC according to historical logs sum , substitute into the formula to calculate the actual power; set the difference threshold DL thr , when the difference between the actual power and the power displayed on the device is greater than DL thr The actual power calculation formula is as follows:

[0034]

[0035] Where DL is the actual amount of electricity.

[0036] Since the power level is mainly used to provide the device user with an expectation of the battery life, the calculation of the actual power level in this application refers to the time required for each unit of power to be used in the past, which can prevent the battery life from not meeting the expectations of the device user due to false power level.

[0037] In S400, an alarm notification is displayed on the visual screen of the device to prompt the management personnel of the power change information and change the displayed power to the actual power. A power consumption change graph is drawn according to the real-time power of each functional component, and an operation record is automatically generated and stored in the history log when the device is shut down.

[0038] A power data management system for a lithium thionyl chloride battery comprises a data collection module, a state analysis module, a power management module and a visual storage module.

[0039] The data collection module collects the ambient temperature outside the device and the performance parameter comparison table of the internal lithium thionyl chloride battery, as well as the working mode and historical logs of all functional components. The state analysis module is used to calculate the deviation coefficient of the functional component, analyze the capacity retention rate of the lithium thionyl chloride battery and the deviation index of the device according to the performance parameter comparison table, and determine whether to calibrate the power. The power management module calculates the estimated total power consumption of the functional component and the remaining capacity of the lithium thionyl chloride battery, calculates the actual power of the device according to the historical log, and determines whether to issue an alarm notification. The visual storage module displays the alarm notification and actual power on the visual screen, automatically generates operation records and stores them in the historical log.

[0040] The data collection module includes a history log collection unit, a temperature information collection unit and a table information collection unit.

[0041] The historical log collection unit is used to collect the operation records of each functional component during each device startup and shutdown. Each operation record includes the functional component, working mode, ambient temperature and power consumption change graph, which refers to the relationship between the power consumption of the functional component and time.

[0042] The temperature information acquisition unit is used to collect the ambient temperature outside the device. The table information acquisition unit is used to collect the performance parameter comparison table of the lithium thionyl chloride battery. The performance parameter comparison table includes the capacity retention rate of the lithium thionyl chloride battery at different temperatures. The capacity retention rate refers to the percentage of the actual capacity relative to the rated capacity.

[0043] The state analysis module includes an impact analysis unit and a calibration judgment unit.

[0044] The impact analysis unit is used to calculate the coefficient of variation of functional components.

[0045] First, mark the running functional components and establish an analysis library. Put the operation records of all marked functional components into the analysis library, analyze the power consumption change chart of each operation record in the library and calculate the average power consumption. Classify the operation records in the analysis library according to functional components, and then group them according to the working mode in each category.

[0046] Secondly, a training set is established for each group, with the ambient temperature in the operation record as the independent variable and the average power consumption as the dependent variable. The independent variables and dependent variables under each operation record are packaged as samples and put into the training set corresponding to the group. A linear regression model is established, and the training set is substituted into the training set to obtain the corresponding expression for each group. The current ambient temperature tep now Substitute into each expression to calculate the estimated power consumption of each group. Get the marked function component GZ n Current working mode mode n , find the functional component GZ in the analysis library n The corresponding class and the working mode mode under the class n The corresponding group.

[0047] Finally, the number of groups j under the class class in the statistical analysis library is obtained to obtain the estimated power consumption corresponding to the group group. Calculate the average power consumption of all running records in the group and the average ambient temperature Substituting into the formula: In the calculation, the marking function component GZ n The coefficient of deviation PX. Among them, the standard deviation of the estimated power consumption of all groups under the class class is the range of average power consumption in all running records in the i-th group under class, It is the range of ambient temperature in all running records in the i-th group under class.

[0048] The calibration judgment unit is used to calculate the deviation index of the device. nowRetrieve the corresponding capacity retention rate crr in the performance parameter comparison table of lithium thionyl chloride batteries now , substitute into the formula: Calculate the deviation index of the device. Set the index threshold PZ thr , when the deviation index of the device is greater than PZ thr When the power calibration is started, PZ is the deviation index, α is a constant, r is the number of all marked functional components, and PX v is the deviation coefficient of the vth labeling function component.

[0049] The power management module includes a power consumption prediction unit and a power planning unit.

[0050] The power consumption prediction unit is used to calculate the estimated total power consumption. The current working mode of each marked functional component is obtained, and the corresponding group is retrieved and marked in the analysis library. The estimated power consumption of all marked groups is summed up as the estimated total power consumption EPW. sum .

[0051] The power planning unit is used to calculate the actual power consumption.

[0052] First, by analyzing the power consumption change graph of each operation record in the historical log, we can obtain the average power and duration of each functional component in different working modes, and substitute them into the formula: The remaining capacity EL of the lithium thionyl chloride battery is calculated residue Among them, CP ed is the rated capacity of the lithium thionyl chloride battery, s is the number of all functional components, z is the number of working modes of the fth functional component, is the average power of the fth functional component in the bth working mode, is the total duration of the fth functional component in the bth working mode.

[0053] Then set the difference threshold DL thr , obtain all operation records in the historical log and analyze them, and count the total startup time of the equipment SC sum , substitute into the formula: Calculate the actual power. When the difference between the actual power and the power displayed on the device is greater than DL thr When the alarm is notified.

[0054] The visual storage module displays alarm notifications on the device screen, modifies the displayed power to the actual power, draws a power consumption change graph in real time, and automatically generates operation records and stores them in the history log.

[0055] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0056] 1. Intelligent calibration evaluation: This application analyzes the operation records of the marked functional components and calculates the average power consumption and expected power consumption, thereby analyzing the power fluctuation degree of each marked functional component affected by temperature and obtaining the deviation coefficient. The deviation index is calculated by comparing the relationship between the degree of temperature influence of all marked functional components and the degree of temperature influence of the battery, thereby determining whether to calibrate the power. This is more intelligent than the calibration evaluation method of traditional technology.

[0057] 2. Accurate power planning: This application calculates the estimated total power consumption of all marked functional components, analyzes the average power and duration of all operation records in the historical log and calculates the remaining capacity, and analyzes the battery life based on the remaining capacity and the estimated total power consumption. The actual power consumption is obtained by calculating the time required to use one unit of power through the total power-on time and rated capacity of the device. Compared with the power planning method in traditional technology, it is more accurate and reliable and meets user expectations.

[0058] In summary, compared with traditional technologies, the present invention has the advantages of intelligent calibration evaluation and precise power planning, and can improve the efficiency of power data monitoring and management. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0060] Figure 1 It is a flow chart of a method for managing electric quantity data of a lithium thionyl chloride battery according to the present invention;

[0061] Figure 2 The present invention is a schematic structural diagram of a power data management system for lithium thionyl chloride batteries. DETAILED DESCRIPTION

[0062] 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.

[0063] See also Figure 1 The present invention provides a method for managing power data of a lithium thionyl chloride battery, comprising the following steps:

[0064] S100, when the device is turned on, collect the ambient temperature outside the device, as well as the performance parameter comparison table of the lithium thionyl chloride battery inside the device and the working mode and historical log of all power-consuming functional components.

[0065] S200, calculating the deviation coefficient of the functional component by combining the ambient temperature with the historical log, analyzing the capacity retention rate of the lithium thionyl chloride battery and the deviation index of the device according to the performance parameter comparison table, and determining whether to perform power calibration.

[0066] S300, calculating the estimated total power consumption of the functional components and the remaining capacity of the lithium thionyl chloride battery, analyzing the historical logs and calculating the actual power of the device, and determining whether to issue an alarm notification based on the difference between the displayed power and the actual power of the device.

[0067] S400, the alarm notification and actual power are displayed on the visual screen on the device, and when the device is shut down, the operation record is automatically generated and stored in the history log.

[0068] In S100, a device refers to an electronic instrument that uses a lithium thionyl chloride battery as the sole power supply. The performance parameter comparison table includes the capacity retention rate of the lithium thionyl chloride battery at different temperatures. The capacity retention rate refers to the percentage of the actual capacity relative to the rated capacity. The historical log refers to the operation record of the functional component during each device startup and shutdown. Each operation record includes the functional component, working mode, ambient temperature and power consumption change graph. The power consumption change graph refers to the relationship between the power consumption of the functional component and time.

[0069] The capacity retention rate is used to describe the ability of the actual capacity of the battery to maintain its rated capacity at different temperatures. Generally, the capacity retention rate of the battery will decrease as the temperature decreases. The specific value is set by the staff based on actual measurement conditions.

[0070] The operation record refers to the record of different functional components in different working modes. When the functional component stops running or switches the working mode, the drawing of the power consumption change graph is automatically stopped and the modification of the current operation record is ended, and a new operation record is regenerated.

[0071] In S200, the specific steps are as follows:

[0072] S201, establish an analysis library, mark the running functional components after the device is turned on, filter out the operation records of all marked functional components in the historical log and put them into the analysis library. Obtain the power consumption change graph in each operation record in the analysis library, evenly set M sampling points in the power consumption change graph in the time direction, sum the corresponding power consumption of all sampling points and calculate the average value as the average power consumption APW of the corresponding operation record.

[0073] S202. First classify the operation records in the analysis library according to functional components, and then group them according to the working mode in each category; count the number of groups h in the analysis library and establish a training set for each group, analyze the number of operation records U contained in each group, use the ambient temperature in the operation record as the independent variable and the average power consumption as the dependent variable, package the independent variables and dependent variables under each operation record into samples, and put these U samples into the training set corresponding to the group to which they belong.

[0074] S203, establish a linear regression model, substitute each training set into the training to obtain h expressions, and obtain the current ambient temperature tep now Substitute it into each expression and calculate the estimated power consumption of each group. Get the marked function component GZ n Current working mode mode n , find the functional component GZ in the analysis library n The corresponding class and the working mode mode under the class n The corresponding group.

[0075] The specific training process of the linear regression model is: take the independent variable in each sample as the input value, calculate the difference between the output result and the dependent variable of the corresponding sample, set the error threshold, and when the difference is less than the error threshold, mark the corresponding sample and calculate the next sample. In other cases, adjust the parameters of the regression coefficient and recalculate until all samples in the training set are marked. Among them, the expression of the linear regression model Q is:

[0076] Q=L0+L e d e

[0077] Where, L e is the e-th regression coefficient, d e is the e-th independent variable.

[0078] S204: Count the number of groups j under the class class in the statistical analysis library and obtain the estimated power consumption corresponding to the group group Calculate the average power consumption of all running records in the group and the average ambient temperature And the standard deviation of the estimated power consumption of all groups under the class Substitute the formula to calculate the marked function component GZ n The specific calculation formula of the deviation coefficient PX is as follows:

[0079]

[0080] In the formula, is the range of average power consumption in all running records in the i-th group under class, It is the range of ambient temperature in all running records in the i-th group under class.

[0081] The deviation coefficient indicates the degree to which the power of the marking functional component is affected by temperature. A larger deviation coefficient indicates that the power of the marking functional component is more susceptible to the influence of temperature during operation.

[0082] S205, calculate the deviation coefficient of each marking function component respectively, and convert the current ambient temperature tep now Substitute into the performance parameter comparison table of lithium thionyl chloride batteries and retrieve the corresponding capacity retention rate crr now , substitute into the formula to calculate the deviation index of the device. Set the index threshold PZ thr , when the deviation index of the device is greater than PZ thr The specific calculation formula of deviation index is as follows:

[0083]

[0084] Where PZ is the deviation index, α is a constant, r is the number of all labeled functional components, and PX v is the deviation coefficient of the vth labeling function component.

[0085] The deviation coefficient indicates the ratio of the temperature influence of the marked functional component to the temperature influence of the battery. When the influence of the two is the same, the deviation coefficient is small. For example, in a low temperature environment, the actual battery power decreases, but the power of the functional component also decreases. The battery life does not change significantly compared to the life at normal temperature. In this case, there is no need to enter the power calibration link.

[0086] In S300, the specific steps are as follows:

[0087] S301, according to the current working mode of each marked functional component, search and mark the corresponding group in the analysis library, obtain the estimated power consumption of each marked group, and sum them up as the estimated total power consumption EPW sum .

[0088] S302, obtain the historical logs of all functional components, analyze the power consumption change diagram of each operation record in the historical logs, obtain the average power and duration of each functional component in different working modes, substitute them into the formula to calculate the remaining capacity EL of the lithium thionyl chloride battery residue :

[0089]

[0090] In the formula, CP edis the rated capacity of the lithium thionyl chloride battery, Voltage is the rated voltage of the lithium thionyl chloride battery, s is the number of all functional components, z is the number of working modes of the fth functional component, is the average power of the fth functional component in the bth working mode, is the total duration of the fth functional component in the bth working mode.

[0091] S303, count the total device startup time SC according to historical logs sum , substitute into the formula to calculate the actual power; set the difference threshold DL thr , when the difference between the actual power and the power displayed on the device is greater than DL thr The actual power calculation formula is as follows:

[0092]

[0093] Where DL is the actual amount of electricity.

[0094] Since the power level is mainly used to provide the device user with an expectation of the battery life, the calculation of the actual power level in this application refers to the time required for each unit of power to be used in the past, which can prevent the battery life from not meeting the expectations of the device user due to false power level.

[0095] In S400, an alarm notification is displayed on the visual screen of the device to prompt the management personnel of the power change information and change the displayed power to the actual power. A power consumption change graph is drawn according to the real-time power of each functional component, and an operation record is automatically generated and stored in the history log when the device is shut down.

[0096] See also Figure 2 The present invention provides a power data management system for a lithium thionyl chloride battery, comprising a data collection module, a state analysis module, a power management module and a visualization storage module.

[0097] The data collection module collects the ambient temperature outside the device and the performance parameter comparison table of the internal lithium thionyl chloride battery, as well as the working mode and historical logs of all functional components. The state analysis module is used to calculate the deviation coefficient of the functional component, analyze the capacity retention rate of the lithium thionyl chloride battery and the deviation index of the device according to the performance parameter comparison table, and determine whether to calibrate the power. The power management module calculates the estimated total power consumption of the functional component and the remaining capacity of the lithium thionyl chloride battery, calculates the actual power of the device according to the historical log, and determines whether to issue an alarm notification. The visual storage module displays the alarm notification and actual power on the visual screen, automatically generates operation records and stores them in the historical log.

[0098] The data collection module includes a history log collection unit, a temperature information collection unit and a table information collection unit.

[0099] The historical log collection unit is used to collect the operation records of each functional component during each device startup and shutdown. Each operation record includes the functional component, working mode, ambient temperature and power consumption change graph, which refers to the relationship between the power consumption of the functional component and time.

[0100] The temperature information acquisition unit is used to collect the ambient temperature outside the device. The table information acquisition unit is used to collect the performance parameter comparison table of the lithium thionyl chloride battery. The performance parameter comparison table includes the capacity retention rate of the lithium thionyl chloride battery at different temperatures. The capacity retention rate refers to the percentage of the actual capacity relative to the rated capacity.

[0101] The state analysis module includes an impact analysis unit and a calibration judgment unit.

[0102] The impact analysis unit is used to calculate the coefficient of variation of functional components.

[0103] First, mark the running functional components and establish an analysis library. Put the operation records of all marked functional components into the analysis library, analyze the power consumption change chart of each operation record in the library and calculate the average power consumption. Classify the operation records in the analysis library according to functional components, and then group them according to the working mode in each category.

[0104] Secondly, a training set is established for each group, with the ambient temperature in the operation record as the independent variable and the average power consumption as the dependent variable. The independent variables and dependent variables under each operation record are packaged as samples and put into the training set corresponding to the group. A linear regression model is established, and the training set is substituted into the training set to obtain the corresponding expression for each group. The current ambient temperature tep now Substitute into each expression to calculate the estimated power consumption of each group. Get the marked function component GZ n Current working mode mode n , find the functional component GZ in the analysis library n The corresponding class and the working mode mode under the class n The corresponding group.

[0105] Finally, the number of groups j under the class class in the statistical analysis library is obtained to obtain the estimated power consumption corresponding to the group group. Calculate the average power consumption of all running records in the group and the average ambient temperature Substituting into the formula: In the calculation, the marking function component GZ nThe coefficient of deviation PX. Among them, the standard deviation of the estimated power consumption of all groups under the class class is the range of average power consumption in all running records in the i-th group under class, It is the range of ambient temperature in all running records in the i-th group under class.

[0106] The calibration judgment unit is used to calculate the deviation index of the device. now Retrieve the corresponding capacity retention rate crr in the performance parameter comparison table of lithium thionyl chloride batteries now , substitute into the formula: Calculate the deviation index of the device. Set the index threshold PZ thr , when the deviation index of the device is greater than PZ thr When the power calibration is started, PZ is the deviation index, α is a constant, r is the number of all marked functional components, and PX v is the deviation coefficient of the vth labeling function component.

[0107] The power management module includes a power consumption prediction unit and a power planning unit.

[0108] The power consumption prediction unit is used to calculate the estimated total power consumption. The current working mode of each marked functional component is obtained, and the corresponding group is retrieved and marked in the analysis library. The estimated power consumption of all marked groups is summed up as the estimated total power consumption EPW. sum .

[0109] The power planning unit is used to calculate the actual power consumption.

[0110] First, by analyzing the power consumption change graph of each operation record in the historical log, we can obtain the average power and duration of each functional component in different working modes, and substitute them into the formula: The remaining capacity EL of the lithium thionyl chloride battery is calculated residue Among them, CP ed is the rated capacity of the lithium thionyl chloride battery, Voltage is the rated voltage of the lithium thionyl chloride battery, s is the number of all functional components, z is the number of working modes of the fth functional component, is the average power of the fth functional component in the bth working mode, is the total duration of the fth functional component in the bth working mode.

[0111] Then set the difference threshold DL thr , obtain all operation records in the historical log and analyze them, and count the total startup time of the equipment SC sum , substitute into the formula: Calculate the actual power. When the difference between the actual power and the power displayed on the device is greater than DL thr When the alarm is notified.

[0112] The visual storage module displays alarm notifications on the device screen, modifies the displayed power to the actual power, draws a power consumption change graph in real time, and automatically generates operation records and stores them in the history log.

[0113] Embodiment 1:

[0114] Assume that the total power-on time of the device is 30 hours, the remaining battery capacity is 6Ah, the rated capacity is 9Ah, and the rated voltage is 5V; the capacity retention rate is 90% at the current ambient temperature, and the total power consumption is expected to be 0.4W. Substitute it into the formula to calculate the actual power consumption:

[0115]

[0116] Then the actual power of the device is 75°.

[0117] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0118] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for managing power data of a lithium thionyl chloride battery, characterized in that: The method comprises the following steps: S100, when the device is turned on, collect the ambient temperature outside the device, as well as the performance parameter comparison table of the lithium thionyl chloride battery inside the device and the working mode and historical log of all power-consuming functional components; S200, calculating the deviation coefficient of the functional component by combining the ambient temperature with the historical log, analyzing the capacity retention rate of the lithium thionyl chloride battery and the deviation index of the device according to the performance parameter comparison table, and determining whether to perform power calibration; S300, calculating the estimated total power consumption of the functional components and the remaining capacity of the lithium thionyl chloride battery, analyzing the historical logs and calculating the actual power of the device, and determining whether to issue an alarm notification based on the difference between the displayed power and the actual power of the device; S400, the alarm notification and actual power are displayed on the visual screen on the device, and when the device is shut down, the operation record is automatically generated and stored in the history log.

2. The method for managing the electric quantity data of a lithium thionyl chloride battery according to claim 1, characterized in that: In S100, a device refers to an electronic instrument that uses a lithium thionyl chloride battery as the sole power supply; the performance parameter comparison table includes the capacity retention rate of the lithium thionyl chloride battery at different temperatures, and the capacity retention rate refers to the percentage of the actual capacity relative to the rated capacity; the history log refers to the operation record of the functional component during each device startup and shutdown, and each operation record includes the functional component, working mode, ambient temperature and power consumption change graph, and the power consumption change graph refers to a relationship graph of the power consumption of the functional component over time.

3. The method for managing the electric quantity data of a lithium thionyl chloride battery according to claim 2, characterized in that: In S200, the specific steps are as follows: S201, establish an analysis library, mark the function components that are running after the device is turned on, and filter out the operation records of all marked function components in the historical log and put them into the analysis library; Obtain the power consumption change graph of each operation record in the analysis library, evenly set M sampling points in the power consumption change graph in the time direction, sum up the corresponding power consumption of all sampling points and calculate the average value as the average power consumption APW of the corresponding operation record; S202, first classify the operation records in the analysis library according to the functional components, and then group them according to the working mode in each category; count the number of groups h in the analysis library and establish a training set for each group, analyze the number of operation records U contained in each group, take the ambient temperature in the operation record as the independent variable and the average power consumption as the dependent variable, package the independent variable and the dependent variable under each operation record into samples, and put these U samples into the training set corresponding to the group to which they belong; S203, establish a linear regression model, substitute each training set into the training to obtain h expressions, and obtain the current ambient temperature tep now Substitute into each expression to calculate the estimated power consumption corresponding to each group; obtain the marked functional component GZ n Current working mode mode n , find the functional component GZ in the analysis library n The corresponding class and the working mode mode under the class n The corresponding group; S204: Count the number of groups j under the class class in the statistical analysis library and obtain the estimated power consumption corresponding to the group group Calculate the average power consumption of all running records in the group and the average ambient temperature And the standard deviation of the estimated power consumption of all groups under the class Substitute the formula to calculate the marked function component GZ n The specific calculation formula of the deviation coefficient PX is as follows: In the formula, is the range of average power consumption in all running records in the i-th group under class, is the range of ambient temperature in all running records in the i-th group under class; S205, calculate the deviation coefficient of each marking function component respectively, and convert the current ambient temperature tep n Substitute ow into the performance parameter comparison table of lithium thionyl chloride batteries and retrieve the corresponding capacity retention rate crr now , substitute into the formula to calculate the deviation index of the device; Set the index threshold PZ thr , when the deviation index of the device is greater than PZ thr The power calibration phase will be automatically entered when the device is powered on; the specific calculation formula for the deviation index is as follows: Where PZ is the deviation index, α is a constant, r is the number of all labeled functional components, and PX v is the deviation coefficient of the vth labeling function component.

4. The method for managing electric quantity data of a lithium thionyl chloride battery according to claim 3, characterized in that: In S300, the specific steps are as follows: S301, according to the current working mode of each marked functional component, search and mark the corresponding group in the analysis library, obtain the estimated power consumption of each marked group, and sum them up as the estimated total power consumption EPW sum ; S302, obtain the historical logs of all functional components, analyze the power consumption change diagram of each operation record in the historical logs, obtain the average power and duration of each functional component in different working modes, substitute them into the formula to calculate the remaining capacity EL of the lithium thionyl chloride battery residue : In the formula, CP ed is the rated capacity of the lithium thionyl chloride battery, Voltage is the rated voltage of the lithium thionyl chloride battery, s is the number of all functional components, z is the number of working modes of the fth functional component, is the average power of the fth functional component in the bth working mode, is the total duration of the fth functional component in the bth working mode; S303, count the total device startup time SC according to historical logs sum , substitute into the formula to calculate the actual power; Set the difference threshold DL thr , when the difference between the actual power and the power displayed on the device is greater than DL thr The actual power calculation formula is as follows: Where DL is the actual amount of electricity.

5. The method for managing the electric quantity data of a lithium thionyl chloride battery according to claim 4, characterized in that: In S400, an alarm notification is displayed on the visual screen of the device to prompt the management personnel of power change information and modify the displayed power to the actual power; a power consumption change graph is drawn according to the real-time power of each functional component, and when the device is shut down, an operation record is automatically generated and stored in the history log.

6. A power data management system for lithium thionyl chloride batteries, characterized in that: The system includes a data collection module, a state analysis module, a power management module and a visual storage module; The data collection module collects the ambient temperature outside the device and the performance parameter comparison table of the internal lithium thionyl chloride battery, as well as the working mode and historical logs of all functional components; the state analysis module is used to calculate the deviation coefficient of the functional component, analyze the capacity retention rate of the lithium thionyl chloride battery and the deviation index of the device according to the performance parameter comparison table, and determine whether to calibrate the power; the power management module calculates the estimated total power consumption of the functional component and the remaining capacity of the lithium thionyl chloride battery, calculates the actual power of the device according to the historical log, and determines whether to issue an alarm notification; The visual storage module displays alarm notifications and actual power consumption on a visual screen, automatically generates operation records and stores them in history logs.

7. The power data management system for lithium thionyl chloride batteries according to claim 6, characterized in that: The data collection module includes a history log collection unit, a temperature information collection unit and a table information collection unit; The historical log collection unit is used to collect the operation records of each functional component from each time the device is turned on to shut down; each operation record includes the functional component, working mode, ambient temperature and power consumption change diagram, and the power consumption change diagram refers to the relationship diagram of the power consumption of the functional component over time; The temperature information acquisition unit is used to collect the ambient temperature outside the equipment; the table information acquisition unit is used to collect the performance parameter comparison table of the lithium thionyl chloride battery; the performance parameter comparison table includes the capacity retention rate of the lithium thionyl chloride battery at different temperatures, and the capacity retention rate refers to the percentage of the actual capacity relative to the rated capacity.

8. The power data management system for lithium thionyl chloride batteries according to claim 7, characterized in that: The state analysis module includes an impact analysis unit and a calibration judgment unit; The impact analysis unit is used to calculate the coefficient of deviation of the functional components; First, mark the running functional components and establish an analysis library, put the running records of all marked functional components into the analysis library, analyze the power consumption change graph of each running record in the library and calculate the average power consumption; Classify the operation records in the analysis library according to functional components, and then group them according to working modes in each category; Secondly, a training set is established for each group. The ambient temperature in the operation record is used as the independent variable and the average power consumption is used as the dependent variable. The independent variables and dependent variables under each operation record are packaged as samples and put into the training set corresponding to the group to which they belong. Establish a linear regression model, substitute the training set into the training set to obtain the corresponding expression for each group, and substitute the current ambient temperature tep n Substitute ow into each expression to calculate the estimated power consumption corresponding to each group; obtain the marked functional component GZ n Current working mode mode n , find the functional component GZ in the analysis library n The corresponding class and the working mode mode under the class n The corresponding group; Finally, the number of groups j under the class class in the statistical analysis library is obtained to obtain the estimated power consumption corresponding to the group group. Calculate the average power consumption of all running records in the group and the average ambient temperature Substituting into the formula: In the calculation, the marking function component GZ n The coefficient of deviation PX; where the standard deviation of the estimated power consumption of all groups under the class class is the range of average power consumption in all running records in the i-th group under class, is the range of ambient temperature in all running records in the i-th group under class; The calibration judgment unit is used to calculate the deviation index of the device; according to the current ambient temperature tep now Retrieve the corresponding capacity retention rate crr in the performance parameter comparison table of lithium thionyl chloride batteries now , substitute into the formula: , calculate the deviation index of the device; set the index threshold PZ thr , when the deviation index of the device is greater than PZ thr When the power calibration is started, PZ is the deviation index, α is a constant, r is the number of all marked functional components, and PX v is the deviation coefficient of the vth labeling function component.

9. The power data management system for lithium thionyl chloride batteries according to claim 8, characterized in that: The power management module includes a power consumption prediction unit and a power planning unit; The power consumption prediction unit is used to calculate the estimated total power consumption; obtain the current working mode of each marked functional component, retrieve and mark the corresponding group in the analysis library, and sum up the estimated power consumption of all marked groups as the estimated total power consumption EPW sum ; The power planning unit is used to calculate the actual power; First, by analyzing the power consumption change graph of each operation record in the historical log, we can obtain the average power and duration of each functional component in different working modes, and substitute them into the formula: The remaining capacity EL of the lithium thionyl chloride battery is calculated residue ; Among them, CP ed is the rated capacity of the lithium thionyl chloride battery, Voltage is the rated voltage of the lithium thionyl chloride battery, s is the number of all functional components, z is the number of working modes of the fth functional component, is the average power of the fth functional component in the bth working mode, is the total duration of the fth functional component in the bth working mode; Then set the difference threshold DL thr , obtain all operation records in the historical log and analyze them, and count the total startup time of the equipment SC sum , substitute into the formula: Calculate the actual power. When the difference between the actual power and the power displayed on the device is greater than DL thr When the alarm is notified.

10. The power data management system for lithium thionyl chloride batteries according to claim 9, characterized in that: The visual storage module displays alarm notifications on the device screen, modifies the displayed power to the actual power, draws a power consumption change graph in real time, and automatically generates operation records and stores them in the history log.