Battery energy storage state monitoring and evaluating system and method

Abstract

The invention discloses a battery energy storage state monitoring and evaluating system and method, and particularly relates to the field of battery energy storage state monitoring and evaluating. According to historical operation data and external environment data of a battery energy storage system, state layering is carried out on a battery cell group and an energy storage module based on operation conditions and an aging mechanism of the battery energy storage system; generating a battery cell group working state set and an energy storage unit aging state set; generating a load adaptability evaluation set and an environmental stress factor set by analyzing electrochemical parameters and external environmental influence, and predicting the performance and potential failure risk of the battery under different conditions; the battery energy storage state comprehensive evaluation model is established by monitoring the charge state and the discharge depth of the battery cell group in real time, and the current energy storage state of the battery is evaluated in real time, so that the monitoring and evaluation precision of the battery energy storage state is effectively improved, and the safety and the reliability of battery operation are enhanced.

Description

Technical Field

[0001] The present invention relates to the field of battery energy storage status monitoring and evaluation, and more specifically, the present invention relates to a battery energy storage status monitoring and evaluation system and method. Background Art

[0002] Traditional battery energy storage status monitoring and evaluation methods mainly rely on real-time monitoring of basic parameters, and evaluate the operating status of the battery through simple data collection, such as judging whether the battery is abnormal by changes in voltage. Traditional battery energy storage status monitoring and evaluation methods are limited to the monitoring of surface data, and cannot deeply understand the complex electrochemical processes and aging mechanisms inside the battery, and have limited ability to identify potential battery failure modes. Traditional methods often ignore the impact of external environmental factors on battery performance, as well as stress concentration caused by load changes, resulting in the inability to fully evaluate the battery's energy storage status. This makes traditional monitoring methods have great limitations in dealing with complex battery operating conditions, and it is difficult to effectively monitor and evaluate the battery's energy storage status. Summary of the invention

[0003] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a battery energy storage status monitoring and evaluation system and method to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] Battery energy storage status monitoring and assessment methods, including:

[0006] Obtain the historical operation data and external environment data of the battery energy storage system, and stratify the states of the cell groups and energy storage modules into a cell group working state set and an energy storage unit aging state set based on the historical operation data and external environment data of the battery energy storage system and the operating conditions and aging mechanism of the battery energy storage system;

[0007] Analyze the electrochemical parameters of the battery energy storage system, including capacity decay rate, temperature rise curve, and battery cell group working state set, and generate a battery cell group energy storage state evaluation parameter set;

[0008] Based on the battery pack energy storage status evaluation parameter set and the energy storage unit aging status set, the voltage fluctuation response is evaluated, the dynamic response characteristics of the battery under different load conditions are analyzed, and the load adaptability evaluation set of the battery is generated;

[0009] Combined with external environmental data, the impact of environmental conditions on battery energy storage performance is evaluated to generate a set of environmental stress factors;

[0010] According to the battery's load adaptability assessment set and environmental stress factor set, the electrochemical failure mode of the battery is analyzed to generate a battery failure risk assessment set;

[0011] Real-time monitoring of the state of charge and depth of discharge of the battery pack, generating a real-time parameter set of the energy storage state of the energy storage unit;

[0012] Based on the real-time parameter set of energy storage status and the failure risk assessment set of the battery, a comprehensive evaluation model of battery energy storage status is established to monitor and evaluate the current battery energy storage status.

[0013] In a preferred embodiment, historical operation data and external environment data of the battery energy storage system are obtained, and according to the historical operation data of the battery energy storage system, based on the operating conditions and aging mechanism of the battery energy storage system, the state of the battery cell group and the energy storage module is stratified into a battery cell group working state set and an energy storage unit aging state set, including:

[0014] Based on the historical operating data of the battery energy storage system, combined with the capacity attenuation rate, temperature rise curve and internal resistance change of the battery pack, determine the current operating status of the battery pack and judge whether the battery pack has performance degradation;

[0015] When the battery cell group has performance degradation, the battery cell group with performance degradation is marked as part of the energy storage unit aging state set;

[0016] When the battery cell group does not have a performance degradation phenomenon, the battery cell group that does not have a performance degradation phenomenon is marked as a battery cell group working state set;

[0017] Based on external environmental data, including ambient temperature, humidity, and cooling efficiency of the battery system, evaluate the impact of external environmental data on battery performance;

[0018] When the external environmental data has a first impact on the battery system, the battery cell group first impacted by the external environmental data is added to the energy storage unit aging state set;

[0019] When the external environmental data has a second impact on the battery system, the battery cell group affected by the second impact of the external environmental data is classified into a battery cell group working state set;

[0020] Among them, the first impact of the external environmental data on the battery system is greater than the second impact of the external environmental data on the battery system.

[0021] In a preferred embodiment, the electrochemical parameters of the battery energy storage system, including the capacity decay rate, the temperature rise curve, and the working state set of the battery cell group are analyzed to generate a battery cell group energy storage state evaluation parameter set, including:

[0022] Statistical data set of capacity attenuation rate of each battery unit in the battery cell group;

[0023] Compare the temperature rise curves of the battery pack and output the temperature abnormality area data set;

[0024] Determine the load balancing of the battery cells according to the working status of each battery cell in the battery cell group working status set, and output a load balancing evaluation data set;

[0025] When there are battery cells with a capacity decay rate exceeding a preset threshold in the data set, the difference exceeding the preset threshold is calculated, and an excess decay difference data set is output;

[0026] Obtain the historical operating status records of the battery pack, and establish an energy storage status assessment model based on the historical operating status records, temperature abnormality area data set, and excess attenuation difference data set;

[0027] The operating status data of all current battery cells are obtained, the operating status data of all current battery cells are input into the energy storage status evaluation model for evaluation, and a battery cell group energy storage status evaluation parameter set is output.

[0028] In a preferred embodiment, based on the battery pack energy storage state evaluation parameter set and the energy storage unit aging state set, a voltage fluctuation response evaluation is performed, the dynamic response characteristics of the battery under different load conditions are analyzed, and a load adaptability evaluation set of the battery is generated, including:

[0029] Based on the battery cell group energy storage state evaluation parameter set, determine the voltage fluctuation amplitude of the battery under different load conditions and generate a voltage fluctuation data set;

[0030] Based on the voltage fluctuation data set and the energy storage unit aging status set, the voltage stability of the battery under different loads is evaluated, and the output voltage stability evaluation data set is output;

[0031] Compare the dynamic response characteristics of the battery cell group to generate a dynamic response characteristic data set;

[0032] Based on the voltage stability evaluation data set and the dynamic response characteristic data set, a load adaptability evaluation set of the battery is generated.

[0033] In a preferred embodiment, the external environmental data is combined to evaluate the impact of environmental conditions on battery energy storage performance and generate an environmental stress factor set, including:

[0034] Obtain external environmental data, including ambient temperature, humidity and atmospheric pressure;

[0035] Generate a temperature stress factor data set based on the impact of ambient temperature on battery charging and discharging efficiency;

[0036] Generate a humidity stress factor dataset based on the impact of ambient humidity on battery housing and terminals;

[0037] Generate a pressure stress factor dataset based on the effect of atmospheric pressure on the gas pressure inside the battery;

[0038] An environmental stress factor set is generated based on the temperature stress factor data set, the humidity stress factor data set and the pressure stress factor data set.

[0039] In a preferred embodiment, based on the load adaptability assessment set and the environmental stress factor set of the battery, the electrochemical failure mode of the battery is analyzed to generate a failure risk assessment set of the battery, including:

[0040] Based on the load adaptability evaluation set of the battery, determine the stress concentration area of ​​the battery under different load conditions and generate a stress concentration analysis result set;

[0041] Based on the environmental stress factor set, determine the impact of environmental factors on the electrochemical reaction of the battery and generate an environmental induced failure mode data set;

[0042] The stress concentration analysis result set is comprehensively compared with the environmental induced failure mode data set to generate a failure mode identification set;

[0043] Classify various failure modes in the failure mode identification set, determine the occurrence probability of various failure modes, and generate a failure probability assessment set;

[0044] Based on the failure probability assessment set, a failure risk assessment set of the battery is generated according to the impact range of different failure modes.

[0045] In a preferred embodiment, the state of charge and depth of discharge of the battery pack are monitored in real time to generate a real-time parameter set of the energy storage state of the energy storage unit, including:

[0046] Collecting real-time operating parameters of the battery cells in the battery cell group and generating a battery cell real-time operating parameter set;

[0047] Based on the real-time operating parameter set of the battery cell and the state of charge of the battery cell group, a state of charge data set is generated;

[0048] Monitor the discharge depth of the battery pack under different operating conditions and generate a discharge depth data set;

[0049] Based on the state of charge data set and the depth of discharge data set, a real-time evaluation parameter set of the energy storage state of the battery pack is generated.

[0050] In a preferred embodiment, based on the real-time parameter set of energy storage state and the failure risk assessment set of the battery, a comprehensive evaluation model of battery energy storage state is established to monitor and evaluate the current battery energy storage state, including:

[0051] Based on the real-time parameter set of energy storage status and the failure risk assessment set of the battery, a comprehensive evaluation model for battery energy storage status is established;

[0052] Obtain the real-time energy storage status data of the battery, input the real-time energy storage status data of the battery into the battery energy storage status comprehensive evaluation model, and output the current battery energy storage status evaluation result.

[0053] Technical effects and advantages of the present invention:

[0054] According to the historical operation data of the battery energy storage system, based on the operating conditions and aging mechanism of the battery energy storage system, the accurate state stratification of the battery cell group and the energy storage module is achieved; based on the electrochemical parameters of the battery energy storage system and the evaluation of the battery load response characteristics, a load adaptability evaluation set and an environmental stress factor set are generated, which can comprehensively reflect the performance of the battery under different load and environmental conditions, and help predict the potential failure risk of the battery; through real-time monitoring of the charge state and discharge depth of the battery group, a comprehensive evaluation model for the battery energy storage state is established, which realizes real-time monitoring and evaluation of the battery energy storage state, effectively extending the battery life. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 A schematic diagram of a battery energy storage status monitoring and evaluation method of the present invention;

[0056] Figure 2 This is a schematic diagram of the structure of a battery energy storage status monitoring and evaluation system of the present invention; DETAILED DESCRIPTION

[0057] 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.

[0058] Reference Figure 1-Figure 2 .

[0059] The embodiment provides a method for monitoring and evaluating the battery energy storage status of the present invention, which comprises the following steps:

[0060] Obtain the historical operation data and external environment data of the battery energy storage system, and stratify the states of the cell groups and energy storage modules into a cell group working state set and an energy storage unit aging state set based on the historical operation data and external environment data of the battery energy storage system and the operating conditions and aging mechanism of the battery energy storage system;

[0061] Analyze the electrochemical parameters of the battery energy storage system, including capacity decay rate, temperature rise curve, and battery cell group working state set, and generate a battery cell group energy storage state evaluation parameter set;

[0062] Based on the battery pack energy storage status evaluation parameter set and the energy storage unit aging status set, the voltage fluctuation response is evaluated, the dynamic response characteristics of the battery under different load conditions are analyzed, and the load adaptability evaluation set of the battery is generated;

[0063] Combined with external environmental data, the impact of environmental conditions on battery energy storage performance is evaluated to generate a set of environmental stress factors;

[0064] According to the battery's load adaptability assessment set and environmental stress factor set, the electrochemical failure mode of the battery is analyzed to generate a battery failure risk assessment set;

[0065] Real-time monitoring of the state of charge and depth of discharge of the battery pack, generating a real-time parameter set of the energy storage state of the energy storage unit;

[0066] Based on the real-time parameter set of energy storage status and the failure risk assessment set of the battery, a comprehensive evaluation model of battery energy storage status is established to monitor and evaluate the current battery energy storage status.

[0067] Specifically, the historical operation data and external environment data of the battery energy storage system are obtained. Based on the historical operation data and external environment data of the battery energy storage system, and based on the operating conditions and aging mechanism of the battery energy storage system, the state of the battery cell group and the energy storage module is stratified into a battery cell group working state set and an energy storage unit aging state set, including:

[0068] Based on the historical operating data of the battery energy storage system, combined with the capacity decay rate, temperature rise curve and internal resistance change of the battery group, the current operating status of the battery group is determined to judge whether the battery group has performance degradation; specifically, the capacity decay rate refers to the proportion of battery capacity reduction over time, which is used to judge the degree of battery aging; the temperature rise curve reflects the temperature change of the battery under different load conditions, and abnormal temperature change may indicate that there are internal problems with the battery. The change in internal resistance refers to the change in the internal impedance of the battery over time. An increase in internal resistance indicates that the efficiency of the battery's electrochemical process is reduced; by analyzing the capacity decay rate, temperature rise curve and internal resistance change, it is determined whether the battery group has aged or its performance has degraded; for example, when a battery group is in operation, the capacity decay rate is 15%, and the temperature rises sharply during high-load operation, and the internal resistance also increases rapidly, indicating that the battery group has performance degradation;

[0069] When the battery cell group has performance degradation, the battery cell group with performance degradation is marked as part of the energy storage unit aging state set;

[0070] When the battery cell group does not have a performance degradation phenomenon, the battery cell group that does not have a performance degradation phenomenon is marked as a battery cell group working state set;

[0071] Based on external environmental data, including ambient temperature, humidity, and cooling efficiency of the battery system, evaluate the degree of impact of external environmental data on battery performance;

[0072] When the external environmental data has a first impact on the battery system, the battery cell group that is first affected by the external environmental data is added to the energy storage unit aging state set; for example, when the battery cell group is operated under an ambient temperature higher than 40 degrees Celsius and a humidity higher than 85%, the internal temperature of the battery cell group also rises significantly, which has a significant impact on the battery performance; therefore, the battery cell group that is most affected by the external environmental data is added to the energy storage unit aging state set;

[0073] When the external environment data has a second impact on the battery system, the battery cell group affected by the second impact of the external environment data is classified as a battery cell group working state set; illustratively, if the ambient temperature is around 25 degrees Celsius, the humidity is below 60%, and the battery cooling system works normally, the external environment has little impact on the battery cell group, and the battery cell group less affected by the external environment data is classified as a working state set;

[0074] Among them, the first impact of the external environmental data on the battery system is greater than the second impact of the external environmental data on the battery system.

[0075] Specifically, the electrochemical parameters of the battery energy storage system, including the capacity decay rate, the temperature rise curve, and the working state set of the battery cell group are analyzed to generate a battery cell group energy storage state evaluation parameter set, including:

[0076] Statistical data set of capacity attenuation rate of each battery cell in the battery pack;

[0077] Compare and analyze the temperature rise curves of the battery group and output the temperature abnormal area data set; for example, under full load operation, the temperature rise curve of battery group A rises from 25 degrees Celsius to 50 degrees Celsius within 10 minutes, and the temperature of battery group B rises from 25 degrees Celsius to 35 degrees Celsius; through comparison and analysis, the temperature rise of battery group A is high and exceeds the normal range, and the corresponding time data and temperature data will be marked as the temperature abnormal area data set;

[0078] According to the working state of each battery cell in the working state set of the battery cell group, the load balance of the battery cell is determined, and a load balance evaluation data set is output; specifically, the working state of each battery cell in the battery cell group is analyzed, including parameters such as voltage and current, and the balance of each battery cell in the working state set of the battery cell group under different load conditions is evaluated. If the load of some battery cells is too large and the load of some battery cells is small, it means that the load distribution is uneven, which may cause premature aging of some battery cells;

[0079] When there are battery cells in the capacity decay rate data set that exceed the preset threshold, the difference exceeding the preset threshold is calculated, and the excess decay difference data set is output; for example, the preset threshold is 20%, the capacity decay rate of battery cell C is 25%, the capacity decay rate of battery cell D is 18%, and the capacity decay rate of battery cell E is 22%, then the capacity decay rates of battery cells C and E exceed the preset threshold, and the excess decay differences are calculated to be 5% and 2%, respectively, and the excess decay differences will be recorded in the excess decay difference data set;

[0080] Obtain the historical operating status records of the battery pack, and establish an energy storage status assessment model based on the historical operating status records, temperature abnormality area data set, and excess attenuation difference data set;

[0081] The operating status data of all current battery cells are obtained, the operating status data of all current battery cells are input into the energy storage status assessment model for assessment, and a battery cell group energy storage status assessment parameter set is output; illustratively, the voltage and temperature of the battery cells are collected in real time, the voltage and temperature of the battery cells are input into the energy storage status assessment model, and the results output by the energy storage status assessment model may include: the health status score of battery cell F is 80%, indicating that it is in good condition, and the health status score of battery cell G is 60%, and the health status scores are summarized as the battery cell group energy storage status assessment parameter set.

[0082] Specifically, based on the battery pack energy storage state evaluation parameter set and the energy storage unit aging state set, the voltage fluctuation response evaluation is performed, the dynamic response characteristics of the battery under different load conditions are analyzed, and the battery load adaptability evaluation set is generated, including:

[0083] Based on the battery cell group energy storage state evaluation parameter set, determine the voltage fluctuation amplitude of the battery under different load conditions, and generate a voltage fluctuation data set; illustratively, under low load (current is 5A), medium load (current is 10A) and high load (current is 15A) conditions, the voltage fluctuations of the battery cell group are ±0.2V, ±0.5V and ±1.0V respectively, and the voltage fluctuation data of the battery cell group will be recorded in the voltage fluctuation data set;

[0084] Based on the voltage fluctuation data set and the energy storage unit aging state set, the voltage stability of the battery under different loads is evaluated, and a voltage stability evaluation data set is output; for example, under the same high load (15A), the voltage fluctuation of the No. 1 battery is ±1.5V, and the voltage fluctuation of the No. 2 battery is ±0.8V. Combined with the aging states of the No. 1 battery and the No. 2 battery, the No. 1 battery may show obvious signs of aging and poor voltage stability. Therefore, the voltage stability of the No. 1 battery is evaluated as unstable, and the evaluation result of the No. 2 battery is relatively stable. The voltage stability evaluation results of the No. 1 battery and the No. 2 battery will be recorded in the voltage stability evaluation data set;

[0085] Compare the dynamic response characteristics of the battery cell groups to generate a dynamic response characteristic data set; illustratively, when the load current increases to 10A, the voltage of battery cell H drops from 4.0V to 3.6V, and recovers to 3.9V after 5 seconds, and the voltage of battery cell I drops from 4.0V to 3.8V, and recovers to 3.95V after 3 seconds. Through comparison and analysis, the dynamic response characteristics of battery cell I are better than those of battery cell H, and the dynamic response data of the battery cell will be recorded in the dynamic response characteristic data set;

[0086] Based on the voltage stability evaluation data set and the dynamic response characteristic data set, a load adaptability evaluation set of the battery is generated. Specifically, the voltage stability evaluation data set and the dynamic response characteristic data set are combined to generate the load adaptability evaluation set of the battery.

[0087] Specifically, combined with external environmental data, the impact of environmental conditions on battery energy storage performance is evaluated to generate a set of environmental stress factors, including:

[0088] Obtain external environmental data, including ambient temperature, humidity and atmospheric pressure;

[0089] Based on the influence of ambient temperature on the battery charge and discharge efficiency, a temperature stress factor data set is generated; for example, when the ambient temperature is 25 degrees Celsius, the battery charge and discharge efficiency is 95%, and when the temperature rises to 40 degrees Celsius, the charge and discharge efficiency increases to 98%, but the aging speed of the battery cell accelerates; when the ambient temperature is 5 degrees Celsius, the charge and discharge efficiency drops to 80%, and the charge and discharge efficiency changes at different temperatures will be recorded in the temperature stress factor data set;

[0090] Based on the impact of ambient humidity on the battery housing and terminals, a humidity stress factor dataset is generated; for example, if the ambient humidity remains above 80% for a long time, oxidation will occur on the terminals, causing a 10% increase in contact resistance, affecting the charge and discharge performance. In this case, humidity has a negative impact on the battery system, and this information will be recorded in the humidity stress factor dataset;

[0091] Based on the influence of atmospheric pressure on the internal gas pressure of the battery, a pressure stress factor data set is generated; for example, in high-altitude areas, the atmospheric pressure drops, causing the internal gas pressure of the battery to increase, causing the battery to swell, and affecting the stability of the battery shell. The performance and structural changes of the battery under different atmospheric pressure conditions will be recorded in the pressure stress factor data set;

[0092] Based on the temperature stress factor data set, the humidity stress factor data set and the pressure stress factor data set, an environmental stress factor set is generated; specifically, the temperature stress factor data set, the humidity stress factor data set and the pressure stress factor data set are combined to generate the environmental stress factor set.

[0093] Specifically, based on the battery's load adaptability assessment set and environmental stress factor set, the electrochemical failure mode of the battery is analyzed to generate a battery failure risk assessment set, including:

[0094] Based on the load adaptability evaluation set of the battery, the stress concentration area of ​​the battery under different load conditions is determined, and a stress concentration analysis result set is generated; specifically, for example, under high load conditions, the stress in some specific areas inside the battery increases significantly, causing fatigue or strain of the material in the area where the stress increases. The areas where the stress increases are summarized to generate a stress concentration analysis result set;

[0095] Based on the environmental stress factor set, determine the impact of environmental factors on the electrochemical reaction of the battery, and generate an environmental induced failure mode data set; for example, in a high humidity environment, the oxidation of the battery terminal may cause an increase in contact resistance, thereby affecting the current transmission efficiency of the battery. The oxidation phenomenon of the battery terminal belongs to the environmental induced failure mode and will be recorded in the environmental induced failure mode data set;

[0096] A comprehensive comparison is performed between the stress concentration analysis result set and the environment-induced failure mode data set to generate a failure mode identification set; for example, the stress concentration analysis result set shows that the positive electrode material has a risk of stress concentration, and the environment-induced failure mode data set shows that high temperature exacerbates the reaction rate of the positive electrode material, which together lead to the risk of thermal runaway of the positive electrode material, and the risk of thermal runaway of the positive electrode material is recorded in the failure mode identification set;

[0097] Classify various failure modes in the failure mode identification set, determine the occurrence probability of various failure modes, and generate a failure probability assessment set; illustratively, assume that the failure mode identification set contains three main failure modes: positive electrode material fracture, terminal oxidation and electrolyte evaporation, and determine the occurrence probability of each failure mode through statistical historical data and experimental analysis, for example, the occurrence probability of positive electrode material fracture is 5%, terminal oxidation is 10%, and electrolyte evaporation is 3%, and the probability data will be recorded in the failure probability assessment set;

[0098] Based on the failure probability assessment set, a failure risk assessment set of the battery is generated according to the impact range of different failure modes; for example, some failure modes may affect partial performance of the battery, while other failure modes may cause complete failure of the battery. Through similar analysis, a failure risk assessment set of the battery is generated.

[0099] Specifically, the state of charge and depth of discharge of the battery pack are monitored in real time to generate a real-time parameter set of the energy storage state of the energy storage unit, including:

[0100] Collect the real-time operating parameters of the battery cells in the battery cell group and generate a real-time operating parameter set of the battery cells;

[0101] Based on the real-time operating parameter set of the battery cell and the state of charge of the battery cell group, a state of charge data set is generated;

[0102] Monitor the discharge depth of the battery pack under different operating conditions and generate a discharge depth data set;

[0103] Based on the state of charge data set and the depth of discharge data set, a real-time evaluation parameter set for the energy storage status of the battery group is generated; illustratively, by dynamically analyzing the state of charge and the depth of discharge, the operating efficiency and health status of the battery group at a certain moment are obtained. For example, the current state of charge is 60%, the depth of discharge is 40%, and the real-time evaluation parameter score of the evaluated battery group is 85%. The real-time evaluation parameter score of the battery group will be recorded in the real-time evaluation parameter set for the energy storage status.

[0104] Specifically, based on the real-time parameter set of energy storage status and the failure risk assessment set of the battery, a comprehensive evaluation model of battery energy storage status is established to monitor and evaluate the current battery energy storage status, including:

[0105] Based on the real-time parameter set of energy storage status and the failure risk assessment set of the battery, a comprehensive evaluation model for battery energy storage status is established;

[0106] The real-time energy storage status data of the battery is obtained, the real-time energy storage status data of the battery is input into the comprehensive evaluation model of the battery energy storage status, and the current battery energy storage status evaluation result is output; the real-time energy storage status data of the battery includes parameters such as battery voltage, current, temperature, humidity and charge state.

[0107] The battery energy storage status monitoring and evaluation system disclosed in the present invention includes:

[0108] The state stratification module obtains the historical operation data and external environment data of the battery energy storage system, and stratifies the state of the battery cell group and the energy storage module according to the historical operation data of the battery energy storage system, based on the operating conditions and aging mechanism of the battery energy storage system, and divides them into the battery cell group working state set and the energy storage unit aging state set;

[0109] The electrochemical parameter analysis module analyzes the electrochemical parameters of the battery energy storage system, including the capacity decay rate, temperature rise curve, and the working state set of the battery cell group, and generates a battery cell group energy storage state evaluation parameter set;

[0110] The voltage fluctuation response assessment module performs voltage fluctuation response assessment based on the battery pack energy storage state assessment parameter set and the energy storage unit aging state set, analyzes the dynamic response characteristics of the battery under different load conditions, and generates a load adaptability assessment set for the battery;

[0111] The environmental impact assessment module combines external environmental data to assess the impact of environmental conditions on battery energy storage performance and generates a set of environmental stress factors;

[0112] The failure risk analysis module analyzes the electrochemical failure mode of the battery based on the battery's load adaptability assessment set and environmental stress factor set, and generates a battery failure risk assessment set;

[0113] A real-time monitoring module monitors the state of charge and depth of discharge of the battery pack in real time, and generates a real-time parameter set of the energy storage state of the energy storage unit;

[0114] The comprehensive evaluation module establishes a comprehensive evaluation model for the battery energy storage status based on the real-time parameter set of the energy storage status and the failure risk assessment set, monitors and evaluates the current status of the battery energy storage system, and outputs the evaluation results.

[0115] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0116] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0117] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0118] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0119] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0120] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0121] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0122] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0123] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A battery energy storage status monitoring and evaluation method, characterized in that: The following steps are involved: Obtain the historical operation data and external environment data of the battery energy storage system, and stratify the states of the cell groups and energy storage modules into a cell group working state set and an energy storage unit aging state set based on the historical operation data and external environment data of the battery energy storage system and the operating conditions and aging mechanism of the battery energy storage system; Analyze the electrochemical parameters of the battery energy storage system, including capacity decay rate, temperature rise curve, and battery cell group working state set, and generate a battery cell group energy storage state evaluation parameter set; Based on the battery pack energy storage status evaluation parameter set and the energy storage unit aging status set, the voltage fluctuation response is evaluated, the dynamic response characteristics of the battery under different load conditions are analyzed, and the load adaptability evaluation set of the battery is generated; Combined with external environmental data, the impact of environmental conditions on battery energy storage performance is evaluated to generate a set of environmental stress factors; According to the battery's load adaptability assessment set and environmental stress factor set, the electrochemical failure mode of the battery is analyzed to generate a battery failure risk assessment set; Real-time monitoring of the state of charge and depth of discharge of the battery pack, generating a real-time parameter set of the energy storage state of the energy storage unit; Based on the real-time parameter set of energy storage status and the failure risk assessment set of the battery, a comprehensive evaluation model of battery energy storage status is established to monitor and evaluate the current battery energy storage status.

2. A battery energy storage status monitoring and evaluation method according to claim 1, characterized in that: Obtain the historical operation data and external environment data of the battery energy storage system. Based on the historical operation data and external environment data of the battery energy storage system, and based on the operating conditions and aging mechanism of the battery energy storage system, the battery cell group and energy storage module are stratified into the battery cell group working state set and the energy storage unit aging state set, including: Based on the historical operating data of the battery energy storage system, combined with the capacity attenuation rate, temperature rise curve and internal resistance change of the battery pack, determine the current operating status of the battery pack and judge whether the battery pack has performance degradation; When the battery cell group has performance degradation, the battery cell group with performance degradation is marked as part of the energy storage unit aging state set; When the battery cell group does not have a performance degradation phenomenon, the battery cell group that does not have a performance degradation phenomenon is marked as a battery cell group working state set; Based on external environmental data, including ambient temperature, humidity, and cooling efficiency of the battery system, evaluate the impact of external environmental data on battery performance; When the external environmental data has a first impact on the battery system, the battery cell group first impacted by the external environmental data is added to the energy storage unit aging state set; When the external environmental data has a second impact on the battery system, the battery cell group affected by the second impact of the external environmental data is classified into a battery cell group working state set; Among them, the first impact of the external environmental data on the battery system is greater than the second impact of the external environmental data on the battery system.

3. A battery energy storage status monitoring and evaluation method according to claim 1, characterized in that: The electrochemical parameters of the battery energy storage system, including capacity decay rate, temperature rise curve and battery cell working state set, are analyzed to generate a battery cell energy storage state evaluation parameter set, including: Statistical data set of capacity attenuation rate of each battery cell in the battery pack; Compare the temperature rise curves of the battery pack and output the data set of abnormal temperature areas; Determine the load balancing of the battery cells according to the working status of each battery cell in the battery cell group working status set, and output a load balancing evaluation data set; When there are battery cells with a capacity decay rate exceeding a preset threshold in the data set, the difference exceeding the preset threshold is calculated, and an excess decay difference data set is output; Obtain the historical operating status records of the battery pack, and establish an energy storage status assessment model based on the historical operating status records, temperature abnormality area data set, and excess attenuation difference data set; The operating status data of all current battery cells are obtained, the operating status data of all current battery cells are input into the energy storage status evaluation model for evaluation, and a battery cell group energy storage status evaluation parameter set is output.

4. A battery energy storage status monitoring and evaluation method according to claim 1, characterized in that: Based on the battery pack energy storage status evaluation parameter set and the energy storage unit aging status set, the voltage fluctuation response is evaluated, the dynamic response characteristics of the battery under different load conditions are analyzed, and the battery load adaptability evaluation set is generated, including: Based on the battery cell group energy storage state evaluation parameter set, determine the voltage fluctuation amplitude of the battery under different load conditions and generate a voltage fluctuation data set; Based on the voltage fluctuation data set and the energy storage unit aging status set, the voltage stability of the battery under different loads is evaluated, and the output voltage stability evaluation data set is output; Compare the dynamic response characteristics of the battery cell group to generate a dynamic response characteristic data set; Based on the voltage stability evaluation data set and the dynamic response characteristic data set, a load adaptability evaluation set of the battery is generated.

5. A battery energy storage status monitoring and evaluation method according to claim 1, characterized in that: Combined with external environmental data, the impact of environmental conditions on battery energy storage performance is evaluated to generate a set of environmental stress factors, including: Obtain external environmental data, including ambient temperature, humidity and atmospheric pressure; Generate a temperature stress factor data set based on the impact of ambient temperature on battery charging and discharging efficiency; Generate a humidity stress factor dataset based on the impact of ambient humidity on battery housing and terminals; Generate a pressure stress factor dataset based on the effect of atmospheric pressure on the gas pressure inside the battery; An environmental stress factor set is generated based on the temperature stress factor data set, the humidity stress factor data set and the pressure stress factor data set.

6. A battery energy storage status monitoring and evaluation method according to claim 1, characterized in that: According to the battery's load adaptability assessment set and environmental stress factor set, the electrochemical failure mode of the battery is analyzed to generate a battery failure risk assessment set, including: Based on the load adaptability evaluation set of the battery, determine the stress concentration area of ​​the battery under different load conditions and generate a stress concentration analysis result set; Based on the environmental stress factor set, determine the impact of environmental factors on the electrochemical reaction of the battery and generate an environmental induced failure mode data set; The stress concentration analysis result set is comprehensively compared with the environmental induced failure mode data set to generate a failure mode identification set; Classify various failure modes in the failure mode identification set, determine the occurrence probability of various failure modes, and generate a failure probability assessment set; Based on the failure probability assessment set, a failure risk assessment set of the battery is generated according to the impact range of different failure modes.

7. A battery energy storage status monitoring and evaluation method according to claim 1, characterized in that: Real-time monitoring of the state of charge and depth of discharge of the battery pack, generating a real-time parameter set of the energy storage state of the energy storage unit, including: Collect the real-time operating parameters of the battery cells in the battery cell group and generate a real-time operating parameter set of the battery cells; Based on the real-time operating parameter set of the battery cell and the state of charge of the battery cell group, a state of charge data set is generated; Monitor the discharge depth of the battery pack under different operating conditions and generate a discharge depth data set; Based on the state of charge data set and the depth of discharge data set, a real-time evaluation parameter set of the energy storage state of the battery pack is generated.

8. A battery energy storage status monitoring and evaluation method according to claim 1, characterized in that: Based on the real-time parameter set of energy storage status and the failure risk assessment set of the battery, a comprehensive evaluation model of battery energy storage status is established to monitor and evaluate the current battery energy storage status, including: Based on the real-time parameter set of energy storage status and the failure risk assessment set of the battery, a comprehensive evaluation model for battery energy storage status is established; Obtain the real-time energy storage status data of the battery, input the real-time energy storage status data of the battery into the battery energy storage status comprehensive evaluation model, and output the current battery energy storage status evaluation result.

9. A battery energy storage status monitoring and evaluation system, characterized in that: The system is used to implement a battery energy storage status monitoring and evaluation method according to any one of claims 1 to 8, comprising: The state stratification module obtains the historical operation data and external environment data of the battery energy storage system, and stratifies the state of the battery cell group and the energy storage module according to the historical operation data of the battery energy storage system, based on the operating conditions and aging mechanism of the battery energy storage system, and divides them into the battery cell group working state set and the energy storage unit aging state set; The electrochemical parameter analysis module analyzes the electrochemical parameters of the battery energy storage system, including the capacity decay rate, temperature rise curve, and the working state set of the battery cell group, and generates a battery cell group energy storage state evaluation parameter set; The voltage fluctuation response assessment module performs voltage fluctuation response assessment based on the battery pack energy storage state assessment parameter set and the energy storage unit aging state set, analyzes the dynamic response characteristics of the battery under different load conditions, and generates a load adaptability assessment set for the battery; The environmental impact assessment module combines external environmental data to assess the impact of environmental conditions on battery energy storage performance and generate a set of environmental stress factors; The failure risk analysis module analyzes the electrochemical failure mode of the battery based on the battery's load adaptability assessment set and environmental stress factor set, and generates a battery failure risk assessment set; A real-time monitoring module monitors the state of charge and discharge depth of the battery pack in real time and generates a real-time parameter set of the energy storage state of the energy storage unit; The comprehensive evaluation module establishes a comprehensive evaluation model for the battery energy storage status based on the real-time parameter set of the energy storage status and the failure risk assessment set, monitors and evaluates the current status of the battery energy storage system, and outputs the evaluation results.

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