Sodium-electric parking battery monitoring and analyzing cloud platform

Abstract

The invention relates to the technical field of sodium-electric parking battery monitoring and analysis, in particular to a sodium-electric parking battery monitoring and analysis cloud platform. The cloud platform comprises a cloud database, a monitoring analysis module and a security management module. The operation parameters and health parameters of the sodium-electric parking battery are monitored and analyzed in real time, so that the operation state and health condition of the battery can be accurately evaluated, and the real-time performance and the accuracy are beneficial to timely discovery of abnormal conditions of the battery and prevention of potential safety risks; the comprehensive evaluation mode of the operation index and the health index can reflect the overall state of the battery more comprehensively, and the limitation of single parameter evaluation is avoided; by comparing the operation index and the health index with the set threshold values, early warning signals of different levels are generated, and a multi-level safety early warning mechanism can timely send out corresponding early warning information according to the actual state of the battery, so that the safe operation of the battery can be effectively ensured, and potential risks can be timely handled.

Description

Technical Field

[0001] The present invention relates to the technical field of sodium battery monitoring and analysis for parking, and specifically provides a cloud platform for sodium battery monitoring and analysis for parking. Background Art

[0002] The sodium battery for parking is a battery system based on sodium-ion battery (SIB), which is usually used for parking and energy storage applications of vehicles such as electric vehicles (EV) or electric buses. Its main function is to provide the electrical energy reserve required when the vehicle is parked, stopped, or in a long-term standby state, for maintaining the operation of on-vehicle electronic devices, air conditioners, lighting systems, etc.; during the operation of the battery, safety hazards such as overcharging, over-discharging, short circuit, and overheating of temperature may occur. Especially, the parking battery is often in a low-power mode for a long time, and potential risks are easily overlooked; by monitoring and analyzing it, these problems can be effectively discovered and avoided, ensuring the safety of the battery and the system.

[0003] Currently, the monitoring and analysis of sodium batteries for parking are mostly limited to local monitoring, that is, monitoring is carried out inside each individual battery pack or vehicle, lacking the ability of effective remote diagnosis and real-time monitoring, and unable to centrally manage the operating states of all batteries, especially for application scenarios of large-scale fleets such as electric buses. Summary of the Invention

[0004] The purpose of the present invention is to provide a cloud platform for sodium battery monitoring and analysis for parking to solve the problems mentioned in the above background art.

[0005] The purpose of the present invention can be achieved by the following technical solutions: A cloud platform for sodium battery monitoring and analysis for parking, the cloud platform includes: a cloud database, a monitoring and analysis module, and a safety management module;

[0006] The cloud database wirelessly communicates with each vehicle to obtain the operating parameters and health parameters of the sodium batteries of each vehicle. The specific operating parameters include voltage spectrogram, current spectrogram, internal resistance, and temperature, which are respectively denoted as V(t)k, I(t)k, Rk, and Tk, where k is the monitoring time, k = 1, 2, 3... K, K represents the total number of monitoring times, and k represents the number of any one monitoring time; t is the time dimension in the voltage spectrogram and current spectrogram; the health parameters include the number of cycles and the corresponding SOC and SOH for each cycle.

[0007] The monitoring and analysis module monitors and analyzes the operating status and health status of the sodium electric parking battery based on the real-time monitored operating parameters and health parameters, obtains the operating status values at each monitoring moment and the health status values at each cycle number, and converts them into line charts to obtain the operating status value line chart and the health status value line chart. Thus, the operating status value line charts and health status value line charts of each vehicle can be obtained and displayed in real time; Trend prediction is carried out based on the operating status value line chart and the health status value line chart to obtain the operating index and the health index, and the operating index and the health index are used as the safety parameters of the sodium electric parking battery of the vehicle and sent to the safety management module;

[0008] The safety management module judges the safety of the sodium electric parking battery of the vehicle based on the received safety parameters to generate corresponding signals, and accordingly executes corresponding safety management measures.

[0009] Preferably, the specific safety judgment and safety management measures are as follows:

[0010] Retrieve the safety parameters of each vehicle. The specific safety parameters include the operating index and the health index. Compare and analyze the operating index with the set operating threshold. If the operating index is greater than or equal to the set operating threshold, generate an operating warning signal; otherwise, generate an operating normal signal;

[0011] Compare and analyze the health index with the set health threshold. If the health index is greater than or equal to the set health threshold, generate a health warning signal; otherwise, generate a health normal signal;

[0012] If there are both an operating warning signal and a health warning signal at the same time, generate a battery shutdown and battery replacement instruction, control the sodium electric parking power of the vehicle to be deactivated, and send the battery shutdown instruction, battery replacement instruction, vehicle number and real-time location to the cloud platform. The cloud platform sends the battery replacement instruction, vehicle number and real-time location to the corresponding engineer;

[0013] If there are both an operating warning signal and a health normal signal at the same time, generate a battery shutdown instruction, control the sodium electric parking power of the vehicle to be deactivated, and send the battery shutdown instruction, vehicle number and real-time location to the cloud platform. The cloud platform sends the battery shutdown instruction, vehicle number and real-time location to the corresponding engineer;

[0014] If there are both an operating normal signal and a health warning signal at the same time, generate a battery replacement instruction, send it to the corresponding engineer and display it in real time;

[0015] If there are both an operating normal signal and a health normal signal at the same time, no adjustment is required.

[0016] Preferably, the specific process of monitoring and analyzing the operating state of the sodium battery for parking is as follows:

[0017] 3-1: Retrieve the operating parameters of the sodium battery for parking at each acquisition moment. The specific operating parameters include voltage spectrogram, current spectrogram, internal resistance, and temperature. Set a standard parameter set for each sodium battery for parking in different vehicles. The specific standard parameter set includes standard voltage parameters, standard current parameters, standard internal resistance, standard temperature, and standard power range. The standard internal resistance and standard temperature, the specific standard voltage parameters include the maximum voltage jump amplitude and voltage fluctuation range, and the standard current parameters include the maximum current jump amplitude and current fluctuation range;

[0018] 3-2: Conduct a comprehensive analysis of the voltage transition and anomalies based on the voltage spectrogram to obtain the voltage distortion value. Similarly, conduct a comprehensive analysis of the voltage transition and anomalies with respect to the current based on the current spectrogram to obtain the current distortion value;

[0019] 3-3: Normalize the voltage distortion value QMk, current distortion value YNk, internal resistance Rk, temperature Tk, standard internal resistance HR, and standard temperature HT at each monitoring moment and take their numerical values. Perform formula-based calculation and analysis on the numerical values to obtain the operating state value YQk at each monitoring moment. The specific calculation formula is:

[0020] YQk = δ1 × QMk + δ2 × YNk + δ3 × e Rk-HR + δ4 × e Tk-HT

[0021] where δ1, δ2, δ3, and δ4 are respectively set proportional constants. Construct a two-dimensional rectangular coordinate system with time as the abscissa and the operating state value as the ordinate. Input the operating state value into the coordinate system according to its corresponding monitoring time, and record the position of the operating state value in the coordinate system as the operating point. Connect the operating points in sequence with line segments to obtain the operating state value broken line graph;

[0022] 3-4: Perform trend prediction analysis on the operating state of the sodium battery for parking based on the operating state value broken line graph to obtain the operating index.

[0023] Preferably, the specific process of conducting a comprehensive analysis of the voltage transition and anomalies based on the voltage spectrogram is as follows:

[0024] 4-1: Identify the voltages at each time in the voltage spectrogram, calculate the difference between the voltages at two adjacent time points to obtain voltage differences, and thus obtain several voltage differences; if the voltage difference is greater than the maximum voltage jump amplitude, then accumulate a voltage transition once; count the number of voltage transitions in the voltage spectrogram. If the number of voltage transitions is greater than or equal to one, calculate the average value of the voltage differences for each voltage transition to obtain the average voltage difference, and perform normalization processing on it and the number of voltage transitions and take its value, and perform weighted calculation on the value to obtain the voltage transition value; if the number of transitions is zero, assign the voltage transition value as zero.

[0025] 4-2: Use the voltage fluctuation range as a constraint condition to perform spectrogram analysis on the voltage anomaly in the voltage spectrogram to obtain the voltage closure value.

[0026] 4-3: Normalize the voltage transition value Q and the voltage closure value Mα of the voltage spectrogram and take their values, and perform formulaic calculation on the values to obtain the voltage distortion value QM. The specific calculation formula is:

[0027] QM = β1×e Q +β2×e M α

[0028] where β1 and β2 are respectively set proportional constants, and e is the natural constant. Its specific value is set by those skilled in the art according to actual needs; thus, the voltage distortion values corresponding to the voltage spectrograms at each monitoring time can be obtained, and they are denoted as QMk.

[0029] Preferably, the specific process of performing spectrogram analysis on the voltage anomaly in the voltage spectrogram with the voltage fluctuation range as a constraint condition is as follows:

[0030] Denote the voltage fluctuation range as [Vmin, Vmax], and draw two straight lines parallel to the horizontal axis in the voltage spectrogram according to the upper and lower limits of the voltage fluctuation range, which are y = Vmin and y = Vmax respectively. Here, y represents the vertical axis in the voltage spectrogram; the two straight lines y = Vmin and y = Vmax divide the voltage spectrogram into three parts, one part is below the straight line y = Vmin, one part is between the straight lines y = Vmin and y = Vmax, and one part is above the straight line y = Vmax;

[0031] Close the first time point and the last time point in the voltage spectrogram to form a closed figure for the above three parts and calculate the closed area, thus obtaining the closed areas of the three parts, and they are denoted as MVmin, and MVmax;

[0032] The closed areas of the three parts are denoted as MVmin, The voltage closed value Mα is obtained through formulaic calculation and analysis with MVmax. The specific calculation formula is as follows:

[0033]

[0034] Where α1, α2, and α3 are respectively the set proportional constants, and their values are set by those skilled in the art according to actual needs.

[0035] Preferably, the specific process of trend prediction and analysis of the operating state of the sodium - electric parking battery based on the operating state value line chart is as follows:

[0036] Take the operating line segment formed by two adjacent operating points. Thus, the operating state value line chart can be divided into several operating line segments. The operating state values corresponding to the operating points at both ends of the operating line segment are denoted as YQ k and YQ k+1 , and use data fitting to calculate the slope of the operating line segment, denoted as

[0037] For the operating state values YQ k and YQ k+1 corresponding to the operating points at both ends of each operating line segment in the operating state value line chart, as well as their corresponding slope , perform formulaic calculation and analysis to obtain the operating index SY. The specific calculation formula is as follows:

[0038]

[0039] Where λ1 and λ2 are respectively the set proportional constants, and their specific values are set by those skilled in the art according to actual needs.

[0040] Preferably, the specific process of monitoring and analyzing the health state of the sodium - electric parking battery is as follows:

[0041] 7 - 1: Retrieve the health parameters of the sodium - electric parking battery in the vehicle. The specific health parameters include the number of cycles and the SOC and SOH corresponding to each cycle;

[0042] 7 - 2: Count the total number of cycles of the sodium - electric parking battery in the vehicle, denoted as J. If the total number of cycles J≥1, then assign the health index of the sodium - electric parking battery as 1, and if J < 1, the health index is assigned as 0;

[0043] 7 - 3: If the total number of cycles J≥2, then monitor and analyze the battery health state of the sodium - electric parking battery in the vehicle to obtain the health index.

[0044] Preferably, the specific process of monitoring and analyzing the health state of the sodium - electric parking battery is as follows:

[0045] 8-1: Formulate the calculation and analysis of the SOC, standard power range, and SOH for each cycle to obtain the health status value for each cycle;

[0046] 8-2: Construct a two-dimensional rectangular coordinate system with the number of cycles as the abscissa and the health status value as the ordinate. Input the health status value into the coordinate axis, and record the position of the health status value in the coordinate system as a health point. Use line segments to connect each health point in sequence to obtain a line graph of the health status value;

[0047] 8-3: Conduct trend prediction and analysis on the health status of the sodium battery for parking to obtain a health index based on the line graph of the health status value.

[0048] Preferably, the specific calculation method of the health status value is as follows:

[0049] Formulate the calculation and analysis of the SOC, standard power range [Dmin, Dmax], and SOH for each cycle to obtain the health status value CHj for each cycle, where j = 1, 2, 3... J, J belongs to positive integers, J represents the total number of cycles, and j represents any one of the cycle numbers; the specific calculation formula is:

[0050]

[0051] Among them, b1 and b2 are respectively set proportionality coefficients, and b1 + b2 = 1; min{SOC - [Dmin, Dmax]} represents the shortest distance between SOC and the standard power range [Dmin, Dmax], and the specific calculation method is:

[0052]

[0053] Preferably, the process of conducting trend prediction and analysis on the health status of the sodium battery for parking based on the line graph of the health status value is as follows:

[0054] Take the health line segment of the line segment formed by two adjacent health points. Thus, the line graph of the health status value can be divided into several health line segments. The health status values corresponding to the health points at both ends of the health line segment are denoted as CH j and CH j+1 , use data fitting to calculate the slope of the health line segment, denoted as

[0055] For the health status values CH j and CH j+1 corresponding to the operating points at both ends of each health line segment in the line graph of the health status value, as well as their corresponding slopes , conduct formula-based calculation and analysis to obtain the health index LC. The specific calculation formula is:

[0056]

[0057] Where μ1 and μ2 are respectively set proportionality constants, and their specific values are set by those skilled in the art according to actual needs.

[0058] Advantages of the present invention:

[0059] 1. By real-time monitoring and analyzing the operating parameters (voltage spectrum, current spectrum, internal resistance, temperature) of the sodium battery for parking, the operating state of the battery can be accurately evaluated, and thus the operating index can be obtained; it can not only reflect the current battery state, but also predict future operating risks, providing a basis for taking preventive measures in advance;

[0060] 2. By real-time monitoring and analyzing the health parameters (SOC, SOH, number of cycles) of the sodium battery for parking, the health status of the battery can be accurately evaluated, the health index can be obtained, and the change trend of the battery health state can be analyzed. This trend analysis can not only reflect the current battery health state, but also predict future health risks, providing a basis for taking preventive measures in advance;

[0061] 3. Compared with the current method of setting warning thresholds for various parameters and giving warnings when a certain parameter exceeds the threshold, which has lag, the monitoring method of the monitoring and analysis module of the present invention is more predictive, and the comprehensive evaluation method of the operating index and the health index can more comprehensively reflect the overall state of the battery, avoiding the limitations of single-parameter evaluation;

[0062] 4. By comparing the operating index and the health index with the set thresholds, different levels of warning signals (operating warning signal, health warning signal, operating normal signal, and health normal signal) are generated. This multi-level safety warning mechanism can send corresponding warning information in a timely manner according to the actual state of the battery, effectively ensuring the safe operation of the battery and timely handling potential risks;

[0063] In summary, through the cloud database, the monitoring and analysis module, and the safety management module, the present invention realizes the comprehensive monitoring and safety management of the operation and health status of the sodium battery of the vehicle; it can effectively solve the problem of insufficient local monitoring of the sodium battery for parking, and construct a complete remote monitoring, centralized management, and diagnosis system, providing strong technical support for the application of the sodium battery for parking. Brief Description of the Drawings

[0064] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention. Detailed Embodiments

[0065] In order to make the objectives and advantages of the present invention more clearly understood, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0066] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0067] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0068] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installed", "connected", and "coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0069] Please refer to Figure 1 As shown, the present invention is a sodium battery electric parking monitoring and analysis cloud platform, which includes: a cloud database, a monitoring and analysis module, and a security management module;

[0070] The cloud database obtains the operating parameters and health parameters of the sodium batteries of each vehicle through wireless communication connections. The specific operating parameters include voltage spectra, current spectra, internal resistance, and temperature, which are respectively denoted as V(t)k, I(t)k, Rk, and Tk, where k is the monitoring time, k = 1, 2, 3... K, K represents the total number of monitoring times, and k represents the number of any one monitoring time; t is the time dimension within the voltage spectrum and current spectrum. It should be noted that usually, the acquisition of a voltage spectrum and a current spectrum only takes a few seconds. t is the time dimension within the spectrum, indicating the variation of voltage and current over time during this short period. It should be noted that under normal circumstances, the voltage and current of the sodium electric parking battery should be stable and have a certain regularity (i.e., fluctuate within a certain range); the health parameters include the number of cycles and the SOC corresponding to each cycle (SOC represents the percentage of the current battery charge, usually referring to the remaining charge of the battery relative to its maximum capacity) and SOH (SOH represents the ratio of the remaining capacity of the battery to the capacity of a new battery, or the health percentage of the battery). It should be noted that a complete discharge and charge process is one cycle. When the SOC and SOH here refer to those after one cycle, the optimal state of SOC should be 80% - 90%. If the SOC corresponding to each cycle is greater than 80% - 90% or less than this optimal range, it will have an adverse impact on the health state (SOH) and service life of the sodium battery. Excessive SOC will accelerate the capacity decline of the battery and shorten the actual service life of the battery; as the number of cycles of the sodium battery increases, SOH usually gradually decreases. The larger the SOH after each cycle, the better the health state of the battery, otherwise it indicates a higher degree of attenuation of the sodium battery;

[0071] The monitoring and analysis module conducts monitoring and analysis based on the operating parameters and health parameters of the sodium batteries of each vehicle to real-time monitor the operating state and health state of the sodium batteries, and obtains the operating index and health index accordingly; takes the operating index and health index as the safety parameters of the sodium electric parking battery of the vehicle and sends them to the safety management module;

[0072] The specific monitoring and analysis of the operating state is as follows:

[0073] Extract the operating parameters of the sodium electric parking battery at each acquisition time. The specific operating parameters include voltage spectra, current spectra, internal resistance, and temperature, which are respectively denoted as V(t)k, I(t)k, Rk, and Tk, where k is the monitoring time, k = 1, 2, 3... K, K represents the total number of monitoring times, and k represents the number of any one monitoring time; t is the time dimension within the voltage spectrum and current spectrum;

[0074] Set different sodium - based electric parking batteries in the vehicle to correspond to a standard parameter set respectively. The specific standard parameter set includes standard voltage parameters, standard current parameters, standard internal resistance, standard temperature, and standard power range. Denote the standard internal resistance and standard temperature as HR and HT. The specific standard voltage parameters include the maximum voltage jump amplitude and the voltage fluctuation range, denoted as [Vmin, Vmax]. The standard current parameters include the maximum current jump amplitude and the current fluctuation range, denoted as [Imin, Imax]. The values of the standard voltage parameters and standard current parameters usually depend on the working characteristics of the battery, design specifications, and charge - discharge rate. Different types of sodium batteries have different corresponding standard voltage parameters and standard current parameters. It should be noted that the maximum voltage jump amplitude (Voltage Max Jump) refers to the maximum value within the allowable range of the voltage difference between two adjacent time points in the voltage spectrum. If the voltage difference between two adjacent time points exceeds this preset maximum value, it indicates that there is an abnormal risk in the battery. The voltage fluctuation range (Voltage Fluctuation Range) refers to the fluctuation range of the sodium - based electric parking battery under normal operating conditions. If it exceeds this range, it indicates that there is an abnormal risk in the battery. The maximum current jump amplitude (Current Max Jump) represents the maximum allowable amplitude of the current change between two adjacent time points. Exceeding this range indicates that there is an abnormal risk in the battery (such as short - circuit, internal resistance problem, or over - load). The current fluctuation range (Current Fluctuation Range): This refers to the range of current fluctuation during the normal operation of the battery. If the current fluctuation exceeds the normal range, it indicates the risk of unstable battery load or malfunction. The standard internal resistance and standard temperature refer to the internal resistance and temperature of the sodium - based electric parking battery in a completely ideal state. Usually, engineers in this field take the internal resistance and temperature of the sodium - based electric parking battery in the just - out - of - the - factory state (without use, aging, and attenuation) as the standard internal resistance and standard temperature.

[0075] Identify the voltage at each time in the voltage spectrum, calculate the difference between the voltages of two adjacent time points to obtain the voltage difference. Thus, a number of voltage differences can be obtained, and compare and analyze them with the maximum voltage jump amplitude. If the voltage difference is greater than the maximum voltage jump amplitude, then accumulate one voltage transition. Count the number of voltage transitions in the voltage spectrum. If the number of voltage transitions is greater than or equal to one, calculate the average value of the voltage differences of each voltage transition to obtain the average voltage difference, and perform normalization processing on it and the number of voltage transitions and take its value, and calculate the weighted value to obtain the voltage transition value denoted as Q. From the calculation process of the voltage transition value, it is not difficult to know that when the number of voltage transitions in the voltage spectrum is more and the degree of transition is greater each time (that is, the voltage difference is greater) during each voltage transition, it means that the degree of voltage transition is higher, and the voltage transition value is larger. If the number of transitions is zero, then assign the voltage transition value as zero.

[0076] The voltage fluctuation range [Vmin, Vmax] is plotted as two straight lines parallel to the horizontal axis (time axis) in the voltage spectrogram, namely y = Vmin and y = Vmax, where y represents the vertical axis in the voltage spectrogram; the two straight lines y = Vmin and y = Vmax divide the voltage spectrogram into three parts, one part is below the straight line y = Vmin, one part is between the straight lines y = Vmin and y = Vmax, and one part is above the straight line y = Vmax; the first time point and the last time point in the voltage spectrogram are enclosed to form a closed figure for the above three parts and calculate the enclosed area, which are respectively denoted as MVmin, and MVmax; the specific enclosure method is as follows: if the first time point or the last time point is below the straight line y = Vmin or between the straight lines y = Vmin and y = Vmax, then draw a perpendicular line to the straight line y = Vmin along the first time point or the last time point and intersect with the straight line y = Vmin; if the first time point or the last time point is above the straight line y = Vmax, then draw a perpendicular line to the straight line y = Vmax along the first time point or the last time point and intersect with the straight line y = Vmax; it should be noted that when the enclosed area in the middle of the straight lines y = Vmin and y = Vmax is larger, it means that the voltage during battery operation is within the normal range; when the enclosed area MVmin below the straight line y = Vmin and the enclosed area MVmax above the straight line y = Vmax are larger, it means that the risk of voltage abnormality is greater;

[0077] The enclosed areas MVmin, and MVmax of the three parts are calculated and analyzed formulaically to obtain the voltage enclosed value Mα. The specific calculation formula is:

[0078]

[0079] where α1, α2, and α3 are respectively set proportional constants, and α3 > α1 > α2, and their values are set by those skilled in the art according to actual needs; it can be seen from the formula that when the enclosed area in the middle of the straight lines y = Vmin and y = Vmax is larger, it means that the voltage during battery operation is within the normal range, and the voltage enclosed value is smaller; when the enclosed area MVmin below the straight line y = Vmin and the enclosed area MVmax above the straight line y = Vmax are larger, it means that the risk of voltage abnormality is greater, and the voltage enclosed value is larger;

[0080] Normalize the voltage transition value Q and the voltage closure value Mα of the voltage spectrogram and take their numerical values, and perform a formula-based calculation on the numerical values to obtain the voltage distortion value QM. The specific calculation formula is as follows:

[0081] QM = β1 × e Q + β2 × e M α

[0082] Among them, β1 and β2 are respectively set proportionality constants, and e is the natural constant. Its specific value is set by those skilled in the art according to actual needs; it can be seen from the formula that the larger the voltage transition value of the voltage spectrogram, the larger the voltage distortion value; the larger the voltage closure value, the larger the voltage distortion value; the voltage distortion value is a comprehensive index describing the voltage transition and voltage abnormality in the voltage spectrogram, reflecting the health status of the battery voltage; thus, the voltage distortion values corresponding to the voltage spectrograms at each monitoring time can be obtained, and they are denoted as QMk.

[0083] Similarly, identify the currents at each time in the current spectrogram, calculate the difference between the currents at two adjacent time points to obtain the current difference, and thus obtain several current flow values. Compare and analyze them with the maximum current jump amplitude. If the current difference is greater than the maximum current jump amplitude, then accumulate a current transition once; count the number of current transitions in the current spectrogram. If the number of current transitions is greater than or equal to one, then calculate the average value of the current differences for each current transition to obtain the average current difference, and perform normalization processing on it and take its numerical value, and perform weighted calculation on the numerical value to obtain the current transition value denoted as Y; it is not difficult to know from the calculation process of the current transition value that the more the number of current transitions in the current spectrogram and the greater the degree of transition (i.e., the greater the current difference) during each current transition, the higher the degree of current transition, and the greater the current transition value; if the number of transitions is zero, then assign the current transition value to zero.

[0084] Draw the current fluctuation interval [Imin, Imax] as two straight lines parallel to the horizontal axis (time axis) in the current spectrogram, namely y = Imin and y = Imax. Here, y represents the vertical axis in the current spectrogram; the two straight lines y = Imin and y = Imax divide the current spectrogram into three parts. One part is below the straight line y = Imin, one part is between the straight lines y = Imin and y = Imax, and one part is above the straight line y = Imax; close the first time point and the last time point in the current spectrogram to form a closed figure for the above three parts and calculate the closed area, and denote them as NImin, and NImax; the specific closing method is as follows: if the first time point or the last time point is below the line y = Imin or between the lines y = Imin and y = Imax, then draw a perpendicular line from the first time point or the last time point to the line y = Imin and intersect with the line y = Imin; if the first time point or the last time point is above the line y = Imax, then draw a perpendicular line from the first time point or the last time point to the line y = Imax and intersect with the line y = Imax; it should be noted that when the enclosed area in the middle of the lines y = Imin and y = Imax is larger, it means that the current during battery operation is within the normal range; when the enclosed area NImin below the line y = Vmin and the enclosed area NImax above the line y = Vmax are larger, it means that the risk of abnormal current is greater;

[0085] The enclosed areas NImin of the three parts, and NImax are analyzed by formula calculation to obtain the current closing value Nα. The specific calculation formula is:

[0086]

[0087] where α4, α5, and α6 are the set proportional constants respectively, and α6 > α4 > α5, and their values are set by those skilled in the art according to actual needs; it can be seen from the formula that when the enclosed area in the middle of the lines y = Imin and y = Imax is larger, it means that the current during battery operation is within the normal range, and the current closing value is smaller; when the enclosed area NImin below the line y = Imin and the enclosed area NImax above the line y = Imax are larger, it means that the risk of abnormal current is greater, and the current closing value is larger;

[0088] The current transition value Y of the current spectrogram and the current closing value Nα are normalized and their numerical values are taken, and the numerical values are calculated by formula to obtain the current distortion value YN. The specific calculation formula is:

[0089] YN = β3×e Y +β4×e N α

[0090] Among them, β3 and β4 are respectively set proportional constants, and e is the natural constant. Its specific value is set by those skilled in the art according to actual needs. It can be seen from the formula that the larger the current transition value of the current spectrogram, the larger the current distortion value; the larger the current closing value, the larger the current distortion value. The current distortion value is a comprehensive index describing the current transition and current anomaly in the current spectrogram, reflecting the health status of the battery current. Thus, the current distortion values corresponding to the current spectrograms at each monitoring time can be obtained and denoted as YNk.

[0091] Normalize the voltage distortion value QMk, current distortion value YNk, internal resistance Rk, temperature Tk, standard internal resistance HR, and standard temperature HT at each monitoring moment and take their numerical values. Perform formula-based calculation and analysis on the numerical values to obtain the operating state value YQk at each monitoring moment. The specific calculation formula is:

[0092] YQk = δ1 × QMk + δ2 × YNk + δ3 × e Rk-HR + δ4 × e Tk-HT

[0093] Among them, δ1, δ2, δ3, and δ4 are respectively set proportional constants. It can be seen from the formula that the larger the voltage distortion value and the current distortion value, the greater the risk of abnormality of the sodium battery for parking, and the larger the operating state value; the larger the internal resistance compared to the standard internal resistance (as the sodium battery is used, the internal resistance usually increases), and the larger the temperature compared to the standard temperature (as the sodium battery is used, the increase in internal resistance and other factors will cause the temperature of the sodium battery to be usually greater than the standard temperature), the greater the risk of abnormality of the sodium battery for parking, and the larger the operating state value.

[0094] Construct a two-dimensional rectangular coordinate system with time as the abscissa and the operating state value as the ordinate. Input the operating state value into the coordinate system according to its corresponding monitoring time, and record the position of the operating state value in the coordinate system as the operating point. Connect the operating points in sequence with line segments to obtain the operating state value line graph. Take the operating line segment of the line segment formed by adjacent two operating points. Thus, the operating state value line graph can be divided into several operating line segments. The operating state values corresponding to the operating points at both ends of the operating line segment are denoted as YQ k and YQ k+1 , and use data fitting to calculate the slope of the operating line segment denoted as It should be noted that the larger the operating state values corresponding to both ends of the operating line segment, the larger the slope, indicating that the battery operating state is worse and the deterioration trend is greater.

[0095] The operating state values YQ k and YQ k+1 corresponding to the operating points at both ends of each operating line segment in the operating state value line graph, and their corresponding slopes Perform a formulaic calculation and analysis to obtain the operation index SY. The specific calculation formula is as follows:

[0096]

[0097] Where λ1 and λ2 are respectively the set proportional constants, and their specific values are set by those skilled in the art according to actual needs. It can be seen from the formula that when the slope is greater than zero, the larger the slope, the greater the deterioration trend of the sodium battery operation state, and the larger the operation index; when the slope is less than zero, the smaller the slope, the greater the improvement trend of the sodium battery operation state, and the smaller the operation index; when the operation state values of the two endpoints corresponding to the operation line segment are larger, it indicates that the battery operation state is worse, and the operation index is larger.

[0098] By real-time monitoring and analysis of the operation parameters (voltage spectrum, current spectrum, internal resistance, temperature) of the sodium electric parking battery, the operation state of the battery can be accurately evaluated, and the operation index can be obtained therefrom. It can not only reflect the current battery state, but also predict future operation risks, providing a basis for taking preventive measures in advance.

[0099] The specific monitoring and analysis of the health state is as follows:

[0100] Retrieve the health parameters of the sodium electric parking battery in the vehicle. The specific health parameters include the number of cycles and the SOC and SOH corresponding to each cycle. It should be noted that the SOC and SOH here refer to the health parameters after each cycle. For example, after the battery undergoes a complete discharge and charge, the SOC and SOH of the battery. Under normal conditions, the SOC should be within the standard power range. Engineers in this field usually take the standard power range of the sodium battery as 80% - 90%. The specific value of the standard power range is determined by engineers in this field according to the specifications, models, and performance of the sodium electric parking battery in the sodium vehicle. In a completely ideal state, the SOH should be 100%, which means the battery is in a brand-new state without any performance degradation. However, in actual situations, due to the increase in the number of cycles of the sodium battery and the aging attenuation of the sodium battery, the SOH gradually becomes smaller until the battery capacity drops to the point where it cannot meet actual applications.

[0101] Count the total number of cycles of the sodium electric parking battery in the vehicle and record it as J. If the total number of cycles J ≥ 1, then assign the health index of the sodium electric parking battery as 1, and the health index is assigned as 0. It should be noted that the maximum value of the health index is 1. As the number of cycles of the sodium battery increases, the health index gradually becomes smaller, and the health index gradually increases.

[0102] If the total number of cycles J ≥ 2, then perform monitoring and analysis of the battery health state of the sodium electric parking battery in the vehicle. Specifically:

[0103] The SOC, standard power range [Dmin, Dmax], and SOH for each cycle are calculated and analyzed formulaically to obtain the health state value CHj for each cycle, where j = 1, 2, 3... J, J belongs to positive integers, J represents the total number of cycles, and j represents any one of the cycle numbers; the specific calculation formula is:

[0104]

[0105] where b1 and b2 are respectively set proportionality coefficients, and b1 + b2 = 1; min{SOC - [Dmin, Dmax]} represents the shortest distance between SOC and the standard power range [Dmin, Dmax], and the specific calculation method is: As can be seen from the formula, when SOC belongs to the standard power range [Dmin, Dmax], and the sodium battery has no attenuation at all (in a completely ideal state), the value is 100%, the health state value is equal to one, and the health state value is the largest at this time; however, due to the increase in the number of cycles of the sodium battery, the health index gradually decreases. In the process of a large number of data simulations by engineers in this field, the health index of the sodium battery is usually less than one after each cycle;

[0106] Taking the number of cycles as the abscissa and the health state value as the ordinate to construct a two-dimensional rectangular coordinate system, input the health state value into the coordinate axis, and record the position of the health state value in the coordinate system as the health point. Use line segments to connect each health point in sequence to obtain the health state value line graph; take the health line segment of the line segment formed by adjacent two health points. Thus, the health state value line graph can be divided into several health line segments, and the health state values of the health points at both ends of the health line segment are recorded as CH j and CH j+1 , and use data fitting to calculate the slope of the health line segment, denoted as It should be noted that when the health state values of the two endpoints corresponding to the health line segment are smaller, the slope is smaller (when the slope is less than zero), indicating that the battery operating state is worse and the deterioration trend is greater;

[0107] The health state values CH j and CH j+1 corresponding to the operating points at both ends of each health line segment in the health state value line graph, and their corresponding slope are calculated and analyzed formulaically to obtain the health index LC. The specific calculation formula is:

[0108]

[0109] Among them, μ1 and μ2 are respectively set proportional constants, and their specific values are set by those skilled in the art according to actual needs; it can be seen from the formula that when the slope is greater than zero, the larger the slope, the more obvious the improvement trend of the sodium battery operating state, and the smaller the health index; when the slope is less than zero, the smaller the slope, the greater the deterioration trend of the sodium battery operating state, and the larger the health index; when the health state values of the two endpoints corresponding to the health line segment are smaller, it indicates that the battery health state is worse, and the larger the health index.

[0110] The line graph of the operating state value and the line graph of the health state value of the sodium electric parking battery are displayed in real time, and then the operating index and the health index are used as the safety parameters of the sodium electric parking battery and sent to the safety management module.

[0111] By real-time monitoring and analyzing the health parameters (SOC, SOH, number of cycles) of the sodium electric parking battery, the health status of the battery can be accurately evaluated to obtain the health index, and the change trend of the battery health state can be analyzed. This trend analysis can not only reflect the current battery health state but also predict future health risks, providing a basis for taking preventive measures in advance.

[0112] It can be seen from this that compared with the current method of setting warning thresholds for various parameters and giving warnings when a certain parameter exceeds the threshold, the monitoring method of the monitoring and analysis module of the present invention is more predictive, and the comprehensive evaluation method of the operating index and the health index can more comprehensively reflect the overall state of the battery, avoiding the limitations of single-parameter evaluation.

[0113] The safety management module judges the safety of the sodium electric parking battery of the vehicle based on the received safety parameters and executes corresponding safety management measures accordingly to ensure the safe operation of the sodium electric parking battery of the vehicle, thereby ensuring that the battery operates within a safe range, extending the battery life, and improving the overall safety of the vehicle; the specific judgment and safety management steps are as follows:

[0114] Retrieve the safety parameters of each vehicle. The specific safety parameters include the operating index and the health index. Compare and analyze the operating index with the set operating threshold. If the operating index is greater than or equal to the set operating threshold, it indicates that there is an operating risk for the sodium electric parking battery of the vehicle, and an operating warning signal is generated; otherwise, an operating normal signal is generated.

[0115] Compare and analyze the health index with the set health threshold. If the health index is greater than or equal to the set health threshold, it indicates that there is a health risk for the sodium electric parking battery of the vehicle, and a health warning signal is generated; otherwise, a health normal signal is generated.

[0116] If there are both operation warning signals and health warning signals, battery shutdown and battery replacement instructions are generated, the sodium battery parking power of the vehicle is controlled to be deactivated, and the battery shutdown instruction, battery replacement instruction, vehicle number, and real-time location are sent to the cloud platform. The cloud platform sends the battery replacement instruction, vehicle number, and real-time location to the corresponding engineer for timely replacement;

[0117] If there are both operation warning signals and normal health signals, a battery shutdown instruction is generated, the sodium battery parking power of the vehicle is controlled to be deactivated, and the battery shutdown instruction, vehicle number, and real-time location are sent to the cloud platform. The cloud platform sends the battery shutdown instruction, vehicle number, and real-time location to the corresponding engineer for timely repair;

[0118] If there are both normal operation signals and health warning signals, a battery replacement instruction is generated and sent to the corresponding engineer and displayed in real time, so that the vehicle driver and engineer can replace the sodium battery of the vehicle in time when they are free;

[0119] If there are both normal operation signals and normal health signals, no adjustment is required;

[0120] By comparing the operation index and health index with the set thresholds, different levels of warning signals (operation warning signals, health warning signals, normal operation signals, and normal health signals) are generated. This multi-level safety warning mechanism can send corresponding warning information in a timely manner according to the actual state of the battery, ensure appropriate response measures can be taken at different risk levels, and effectively ensure the safe operation of the battery and timely handle potential risks.

[0121] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution. As long as they do not deviate from the structure of the invention or exceed the scope defined by this claim book, they should fall within the protection scope of the present invention.

Claims

1. A sodium-electric parking battery monitoring and analysis cloud platform, characterized in that: The cloud platform includes: cloud database, monitoring and analysis module and security management module; The cloud database obtains the operating parameters and health parameters of the sodium batteries of each vehicle through wireless communication with each vehicle. The operating parameters include voltage spectrum, current spectrum, internal resistance, and temperature; the health parameters include the number of cycles and the SOC and SOH corresponding to each cycle; The monitoring and analysis module monitors and analyzes the operating status and health status of the sodium-electric parking battery based on the operating parameters and health parameters monitored in real time to obtain the operating status value at each monitoring moment and the health status value at each cycle number, and converts them into a line graph to obtain an operating status value line graph and a health status value line graph, thereby obtaining the operating status value line graph and the health status value line graph of each vehicle, and displaying them in real time; based on the operating status value line graph and the health status value line graph, trend prediction is performed to obtain the operating index and the health index, and the operating index and the health index are used as safety parameters of the sodium-electric parking battery of the vehicle and sent to the safety management module; The safety management module determines the safety of the sodium-electric parking battery of the vehicle based on the received safety parameters to generate a corresponding signal, and executes corresponding safety management measures accordingly.

2. A sodium-electric parking battery monitoring and analysis cloud platform according to claim 1, characterized in that: The specific safety judgment and safety management measures are as follows: Retrieve the safety parameters of each vehicle, including the operation index and health index, compare and analyze the operation index with the set operation threshold, and generate an operation warning signal if the operation index is greater than or equal to the set operation threshold; Otherwise, a normal operation signal is generated; Compare and analyze the health index with the set health threshold. If the health index is greater than or equal to the set health threshold, a health warning signal is generated; Otherwise, a healthy normal signal is generated; If both the operation warning signal and the health warning signal exist at the same time, the battery shutdown and battery replacement instructions are generated to control the sodium battery parking battery of the vehicle to be disabled, and the battery shutdown instruction, battery replacement instruction, vehicle number and real-time location are sent to the cloud platform. The cloud platform sends the battery replacement instruction, vehicle number and real-time location to the corresponding engineer; If there are both an operation warning signal and a healthy normal signal, a battery shutdown command is generated to control the sodium battery parking battery of the vehicle to be disabled, and the number and real-time location of the vehicle with the battery shutdown command are sent to the cloud platform. The cloud platform sends the battery shutdown command, vehicle number and real-time location to the corresponding engineer; If there are both normal operation signals and health warning signals, a battery replacement instruction is generated, sent to the corresponding engineer, and displayed in real time; If both the normal operation signal and the healthy normal signal exist, no adjustment is required.

3. A sodium-electric parking battery monitoring and analysis cloud platform according to claim 1, characterized in that: The specific process of monitoring and analyzing the operating status of the sodium-electric parking battery is as follows: 3-1: Retrieve the operating parameters of the sodium-electric parking battery at each acquisition time, and the specific operating parameters include voltage spectrum, current spectrum, internal resistance, and temperature; set a standard parameter set corresponding to each sodium-electric parking battery in different vehicles, and the specific standard parameter set includes standard voltage parameters, standard current parameters, standard internal resistance, standard temperature, and standard power range, and the standard internal resistance and standard temperature, the specific standard voltage parameters include the maximum voltage jump amplitude and the voltage fluctuation range, and the standard current parameters include the maximum current jump amplitude and the current fluctuation range; 3-2: Based on the voltage spectrum, the voltage transition and anomaly are comprehensively analyzed to obtain the voltage distortion value. Similarly, based on the current spectrum, the voltage transition and anomaly are comprehensively analyzed to obtain the current distortion value. 3-3: Normalize the voltage distortion value, current distortion value, internal resistance, temperature, standard internal resistance and standard temperature at each monitoring moment and take their values, perform formula calculation and analysis on the values ​​to obtain the operating status value at each monitoring moment; A two-dimensional rectangular coordinate system is constructed with time as the horizontal coordinate and the operating status value as the vertical coordinate. The operating status value is input into the coordinate system according to its corresponding monitoring time, and the position of the operating status value in the coordinate system is recorded as the operating point. The operating points are connected in sequence with line segments to obtain a line graph of the operating status value. 3-4: Based on the operating status value line chart, the operating status of the sodium-electric parking battery is trend predicted and analyzed to obtain the operating index.

4. A sodium-electric parking battery monitoring and analysis cloud platform according to claim 3, characterized in that: The specific process of comprehensive analysis of voltage transitions and anomalies based on voltage spectrum is as follows: 4-1: Identify the voltage at each time in the voltage spectrum, and calculate the difference between the voltages of two adjacent time points to obtain the voltage difference, thereby obtaining several voltage differences; If the voltage difference is greater than the maximum voltage jump amplitude, a voltage jump is accumulated; the number of voltage jumps in the voltage spectrum is counted, and if the number of voltage jumps is greater than or equal to one, the voltage difference of each voltage jump is averaged to obtain the average voltage difference, and the average voltage difference is normalized with the number of voltage jumps and the value is taken, and the voltage jump value is obtained by weighted calculation; if the number of jumps is equal to zero, the voltage jump value is assigned to zero; 4-2: Taking the voltage fluctuation range as a constraint condition, the voltage anomaly of the voltage spectrum is analyzed to obtain the voltage closure value; 4-3: Normalize the voltage transition value and voltage closure value of the voltage spectrum and take their numerical values, and calculate the numerical values ​​by formula to obtain the voltage distortion value.

5. A sodium-electric parking battery monitoring and analysis cloud platform according to claim 4, characterized in that: Taking the voltage fluctuation range as a constraint condition, the specific process of spectrum analysis for voltage anomaly in the voltage spectrum is as follows: The voltage fluctuation range is recorded as [Vmin, Vmax], and two straight lines parallel to the horizontal axis of the voltage spectrum are drawn according to the upper and lower limits of the voltage fluctuation range, namely y=Vmin and y=Vmax, where y represents the vertical axis of the voltage spectrum; the two straight lines y=Vmin and y=Vmax divide the voltage spectrum into three parts, one part of which is below the straight line y=Vmin, one part is between the straight lines y=Vmin and y=Vmax, and one part is above the straight line y=Vmax; The first time point and the last time point in the voltage spectrum are closed to form a closed graph of the above three parts and the closed area is calculated, thereby obtaining the closed areas of the three parts; The closed areas of the three parts are calculated and analyzed by formulating a formula to obtain the voltage closed value.

6. A sodium-electric parking battery monitoring and analysis cloud platform according to claim 5, characterized in that: The specific process of trend forecasting and analyzing the operating status of the sodium-electric parking battery based on the operating status value line chart is as follows: Take the running line segment of the line segment composed of two adjacent running points, so that the running state value line graph can be divided into several running line segments, and the running state values ​​corresponding to the running points at both ends of the running line segment are used to calculate the slope of the running line segment by data fitting; The operation status values ​​corresponding to the operation points at both ends of each operation line segment in the operation status value line graph and their corresponding slopes are calculated and analyzed in a formula to obtain the operation index.

7. A sodium-electric parking battery monitoring and analysis cloud platform according to claim 1, characterized in that: The specific process of monitoring and analyzing the health status of the sodium-electric parking battery is as follows: 7-1: Retrieve the health parameters of the sodium-electric parking battery in the vehicle, including the number of cycles and the SOC and SOH corresponding to each cycle; 7-2: The total number of cycles of the sodium-electric parking battery in the vehicle is recorded as J. If the total number of cycles J ≥ 1, the health index of the sodium-electric parking battery is assigned a value of 1, and the health index is assigned a value of 0; 7-3: If the total number of cycles J ≥ 2, the battery health status of the sodium-electric parking battery in the vehicle is monitored and analyzed to obtain a health index.

8. A sodium-electric parking battery monitoring and analysis cloud platform according to claim 7, characterized in that: The specific process of monitoring and analyzing the health status of the sodium-electric parking battery is as follows: 8-1: The SOC, standard power range and SOH of each cycle are calculated and analyzed by formula to obtain the health status value of each cycle; 8-2: A two-dimensional rectangular coordinate system is constructed with the number of cycles as the horizontal coordinate and the health status value as the vertical coordinate. The health status value is input into the coordinate axis, and the position of the health status value in the coordinate system is recorded as a health point. A line segment is used to connect each health point in sequence to obtain a health status value line graph; 8-3: Based on the health status value line chart, the health status of the sodium-electric parking battery is trend predicted and analyzed to obtain the health index.

9. A sodium-electric parking battery monitoring and analysis cloud platform according to claim 8, characterized in that: The specific calculation method of health status value is: The SOC, standard power range [Dmin, Dmax] and SOH of each cycle are calculated and analyzed by formula to obtain the health status value CHj of each cycle, where j = 1, 2, 3...J, J is a positive integer, J represents the total number of cycles, and j represents the number of any one of the cycles; the specific calculation formula is: Where b1 and b2 are the set proportional coefficients, and b1+b2=1; min{SOC-[Dmin,Dmax]} represents the shortest distance between SOC and the standard power range [Dmin,Dmax]. The specific calculation method is:

10. A sodium-electric parking battery monitoring and analysis cloud platform according to claim 9, characterized in that: The health status of the sodium-electric parking battery is trend-forecasted and analyzed based on the health status line chart. The specific process is as follows: Take the healthy line segment of the line segment composed of two adjacent healthy points, so that the health status value line graph can be divided into several healthy line segments. The health status values ​​corresponding to the health points at both ends of the healthy line segment are used to calculate the slope of the healthy line segment by data fitting; The health status values ​​corresponding to the operating points at both ends of each health line segment in the health status value line graph and their corresponding slopes are calculated and analyzed in a formula to obtain the health index.

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