Lithium battery life detection method and system based on multi-channel temperature control

Abstract

The invention discloses a lithium battery life detection method and system based on multi-channel temperature control, and relates to the technical field of life detection methods. A plurality of cooling channels of a lithium battery are determined based on traversal of the lithium battery; and the temperature control mode of the lithium battery is determined according to the plurality of cooling channels, the heat distribution diagram of the lithium battery and the working state of the lithium battery, so that the accuracy of the temperature control mode of the lithium battery is ensured. In the temperature control mode of the lithium battery, the overheating grade of the lithium battery is determined based on recognition of the heat distribution diagram of the lithium battery, and the cooling efficiency of the lithium battery is determined according to the flow speed of the cooling liquid in the multiple cooling channels and the overheating grade of the lithium battery; the temperature control state of the lithium battery is determined according to the cooling efficiency of the lithium battery and the use time of the lithium battery, the service life of the lithium battery is determined according to the temperature control state of the lithium battery and the heat distribution diagram of the lithium battery, the temperature control state of the lithium battery is introduced, and the detection accuracy of the service life of the lithium battery is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of life detection methods, and in particular to a life detection method and system for lithium batteries based on multi-channel temperature control. Background Art

[0002] With the development of science and technology, lithium batteries are widely used in electronic devices as energy supply components. Lithium batteries have multiple battery packs built in, and the multiple battery packs are connected. At the same time, multiple cooling channels are provided in the lithium battery. The cooling liquid flows along the multiple cooling channels and takes away the heat output by the lithium battery in the working state. In the existing technology, the thermal parameters of the lithium battery are collected. The thermal parameter is the overall thermal value of the lithium battery, and the temperature control mode of the lithium battery is determined according to the thermal parameters of the lithium battery. The multiple cooling channels and the heat area of the lithium battery are not taken into account, resulting in poor accuracy of the temperature control mode of the lithium battery, which affects the detection accuracy of the service life of the lithium battery. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a method and system for detecting the life of a lithium battery based on multi-channel temperature control.

[0004] An embodiment of the present invention provides a method for detecting the life of a lithium battery based on multi-channel temperature control, comprising: Determine the working status of the lithium battery based on multiple working parameters of the lithium battery and mark each heated area of the lithium battery; Collecting thermal parameters of each heated area, and determining a thermal distribution map of the lithium battery based on the regional location, thermal parameters and internal distribution map of each heated area; Determining multiple cooling channels of the lithium battery based on the traversal of the lithium battery, and determining a temperature control mode of the lithium battery according to the multiple cooling channels, a heat distribution diagram of the lithium battery, and an operating state of the lithium battery; In the temperature control mode of the lithium battery, the overheat level of the lithium battery is determined based on the identification of the heat distribution map of the lithium battery, and the cooling efficiency of the lithium battery is determined according to the flow rate of the cooling liquid in the multiple cooling channels and the overheat level of the lithium battery; The temperature control state of the lithium battery is determined according to the cooling efficiency of the lithium battery and the usage time of the lithium battery, and the service life of the lithium battery is determined according to the temperature control state of the lithium battery and the heat distribution diagram of the lithium battery.

[0005] An embodiment of the present invention provides a lithium battery life detection system based on multi-channel temperature control. The lithium battery life detection system based on multi-channel temperature control is applied to the above-mentioned lithium battery life detection method based on multi-channel temperature control. The lithium battery life detection system based on multi-channel temperature control includes: The heated area module is used to determine the working status of the lithium battery based on multiple operating parameters of the lithium battery and mark each heated area of the lithium battery; The heat distribution map module is used to collect the heat parameters of each heated area and determine the heat distribution map of the lithium battery according to the regional location, heat parameters and internal distribution map of each heated area; A temperature control mode module is used to determine multiple cooling channels of the lithium battery based on the traversal of the lithium battery, and determine the temperature control mode of the lithium battery according to the multiple cooling channels, the heat distribution diagram of the lithium battery and the working status of the lithium battery; A cooling efficiency module is used to determine the overheat level of the lithium battery based on the identification of the heat distribution map of the lithium battery in the temperature control mode of the lithium battery, and to determine the cooling efficiency of the lithium battery according to the flow rate of the cooling liquid in the multiple cooling channels and the overheat level of the lithium battery; The service life module is used to determine the temperature control state of the lithium battery according to the cooling efficiency of the lithium battery and the use time of the lithium battery, and to determine the service life of the lithium battery according to the temperature control state of the lithium battery and the heat distribution diagram of the lithium battery.

[0006] Compared with the prior art, the present invention has the following beneficial effects: In an embodiment of the present invention, through the method in the embodiment of the present invention, the working state of the lithium battery is determined according to multiple working parameters of the lithium battery, and each heated area of the lithium battery is marked; the thermal parameters of each heated area are collected, and the thermal distribution map of the lithium battery is determined according to the regional position, thermal parameters and internal distribution map of each heated area; based on the traversal of the lithium battery, multiple cooling channels of the lithium battery are determined, and the temperature control mode of the lithium battery is determined according to the multiple cooling channels, the thermal distribution map of the lithium battery and the working state of the lithium battery, which is compatible with the overall consideration of multiple cooling channels, the thermal distribution map of the lithium battery and the working state of the lithium battery, thereby ensuring the accuracy of the temperature control mode of the lithium battery.

[0007] Therefore, in the temperature control mode of the lithium battery, the overheat level of the lithium battery is determined based on the identification of the heat distribution map of the lithium battery, and the cooling efficiency of the lithium battery is determined according to the flow rate of the cooling liquid in multiple cooling channels and the overheat level of the lithium battery; the temperature control state of the lithium battery is determined according to the cooling efficiency of the lithium battery and the usage time of the lithium battery, and the service life of the lithium battery is determined according to the temperature control state of the lithium battery and the heat distribution map of the lithium battery. The temperature control state of the lithium battery is introduced to realize the overall consideration of the temperature control state of the lithium battery and the heat distribution map of the lithium battery, thereby ensuring the accuracy of the detection of the service life of the lithium battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 1 is a flow chart of a method for detecting the life of a lithium battery based on multi-channel temperature control in an embodiment of the present invention; Figure 21 is a flow chart of step S11 in the life detection method of a lithium battery based on multi-channel temperature control in an embodiment of the present invention; Figure 3 1 is a flow chart of step S12 in the lithium battery life detection method based on multi-channel temperature control in an embodiment of the present invention; Figure 4 1 is a flow chart of step S13 in the life detection method of a lithium battery based on multi-channel temperature control in an embodiment of the present invention; Figure 5 1 is a flow chart of step S14 in the life detection method of a lithium battery based on multi-channel temperature control in an embodiment of the present invention; Figure 6 1 is a flow chart of step S15 in the life detection method of a lithium battery based on multi-channel temperature control in an embodiment of the present invention; Figure 7 Schematic diagram of the structure of a lithium battery life detection system based on multi-channel temperature control in an embodiment of the present invention. DETAILED DESCRIPTION

[0009] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0010] See also Figures 1 to 7 A life detection method for lithium batteries based on multi-channel temperature control is applied to the life detection scenario of lithium batteries based on multi-channel temperature control; the life detection method for lithium batteries based on multi-channel temperature control includes: Step S11: determining the working state of the lithium battery according to multiple working parameters of the lithium battery, and marking each heated area of the lithium battery; Step S12: collecting thermal parameters of each heated area, and determining a thermal distribution map of the lithium battery according to the regional position, thermal parameters and internal distribution map of each heated area; Step S13: determining a plurality of cooling channels of the lithium battery based on the traversal of the lithium battery, and determining a temperature control mode of the lithium battery according to the plurality of cooling channels, a heat distribution diagram of the lithium battery, and an operating state of the lithium battery; Step S14: in the temperature control mode of the lithium battery, determining the overheat level of the lithium battery based on the identification of the heat distribution diagram of the lithium battery, and determining the cooling efficiency of the lithium battery according to the flow rate of the cooling liquid in the multiple cooling channels and the overheat level of the lithium battery; Step S15: determining the temperature control state of the lithium battery according to the cooling efficiency of the lithium battery and the usage time of the lithium battery, and determining the service life of the lithium battery according to the temperature control state of the lithium battery and the heat distribution diagram of the lithium battery; refer to Figure 2In step S11, the working state of the lithium battery is determined according to a plurality of working parameters of the lithium battery, and each heated area of the lithium battery is marked; In the specific implementation process of the present invention, the specific steps are: S111: real-time monitoring of the lithium battery, collecting multiple operating parameters of the lithium battery, and determining the operating state of the lithium battery according to the multiple operating parameters and the morphology of the lithium battery, wherein the operating state includes a standard energy supply state, a fast energy supply state, and a slow energy supply state; S112: While the lithium battery is in operation, collect electrical energy output by the lithium battery, and determine multiple heat distribution points of the lithium battery based on the electrical energy, the environment in which the lithium battery is located, and the shape of the lithium battery; the multiple heat distribution points are evenly distributed on multiple sides of the lithium battery; S113: Collecting heat parameters of the plurality of heat distribution points, and determining the various heated areas of the lithium battery according to the heat parameters of the plurality of heat distribution points, the distribution positions of the plurality of heat distribution points, and the previous storage areas of the lithium battery.

[0011] In an embodiment of the present application, the lithium battery is monitored in real time, and multiple operating parameters of the lithium battery are collected. The operating state of the lithium battery is determined based on the multiple operating parameters of the lithium battery and the morphology of the lithium battery. The operating state includes a standard power supply state, a fast power supply state, and a slow power supply state, which is compatible with the overall consideration of the multiple operating parameters of the lithium battery and the morphology of the lithium battery, thereby ensuring the accuracy of the working state of the lithium battery.

[0012] At this time, the battery's voltage, current, temperature and other key operating parameters are monitored in real time through sensors installed on the lithium battery. These sensors are voltmeters, ammeters, thermocouples or thermistors, etc., which can continuously transmit measurement data to the data acquisition system. At the same time, the data acquisition system receives the data from the sensors and performs preprocessing, such as filtering, amplification, analog-to-digital conversion, etc., to ensure the accuracy and reliability of the data. These parameters include but are not limited to the battery's instantaneous voltage, current, average temperature, maximum temperature and minimum temperature.

[0013] The working status of lithium batteries is classified according to the collected working parameters and the shape of the lithium batteries (such as cylindrical, square, soft pack, etc.); common classification standards include standard energy supply state, fast energy supply state and slow energy supply state; at this time, standard energy supply state: the battery is charged and discharged at a normal rate, the voltage and current fluctuations are within a reasonable range, and the temperature remains relatively stable; fast energy supply state: the battery is discharged at a higher rate, the current is large, resulting in a temperature increase, and special attention needs to be paid to heat dissipation; slow energy supply state: the battery is charged and discharged at a lower rate, the current is small, and the temperature change is not obvious, but long-term operation also leads to heat accumulation.

[0014] Furthermore, when the lithium battery is in working condition, the electric energy output by the lithium battery is collected, and multiple heat distribution points of the lithium battery are determined based on the electric energy, the environment in which the lithium battery is located, and the shape of the lithium battery; the multiple heat distribution points are evenly distributed on multiple sides of the lithium battery, which is compatible with the overall consideration of the electric energy, the environment in which the lithium battery is located, and the shape of the lithium battery, thereby ensuring the accuracy of the multiple heat distribution points of the lithium battery.

[0015] At this time, after determining the working state of the lithium battery (such as standard power supply state, fast power supply state or slow power supply state), the electric energy output by the lithium battery is collected by measuring the discharge current and discharge time of the lithium battery, or using an electric energy metering device; the electric energy is usually measured in watt-hours (Wh) or kilowatt-hours (kWh).

[0016] The output of electrical energy will affect the heat generation inside the lithium battery. At the same time, the environment in which the lithium battery is located (such as temperature, humidity, air circulation conditions, etc.) and the shape of the lithium battery (such as cylindrical, square, soft pack, etc.) will also affect the distribution of heat. Therefore, it is necessary to combine these factors and determine the area on the lithium battery that generates higher heat, that is, the heat distribution point, through theoretical calculation or experimental testing. At this time, based on the electrochemical model and thermal model of the lithium battery, according to parameters such as electrical energy, ambient temperature, and battery shape, the heat generation and distribution inside the battery are calculated. Under laboratory conditions, use infrared thermal imagers, thermocouples and other thermal measurement equipment to test the heat distribution of lithium batteries under different working conditions to determine the heat distribution point.

[0017] To ensure the comprehensiveness and accuracy of heat distribution, heat distribution points should be evenly distributed on multiple sides of the lithium battery, including the top, bottom, sides, etc.; this will more comprehensively reflect the heat distribution of the battery in different directions.

[0018] Specifically, the lithium battery has a rated voltage of 3.7V and a rated capacity of 10Ah. The laboratory environment is room temperature of 25°C, humidity of 50%, and good air circulation. The battery is discharged to the cutoff voltage at a constant current of 1A, and the discharge time is recorded as 10 hours. Therefore, the battery outputs 3.7V1A10h = 37Wh of electrical energy. Based on the electrochemical and thermal models of lithium batteries, it is calculated that the main heat generation areas inside the battery during discharge are located near the positive and negative electrode materials. At the same time, through experimental testing, it is found that the temperature of the areas near the positive and negative electrodes on the sides of the battery is higher. Therefore, the top, bottom, and center of the four sides of the battery are determined to be heat distribution points, and these points are evenly distributed on multiple sides of the battery. Use a marker or label to mark these heat distribution points on the battery casing for subsequent thermal measurement and analysis.

[0019] Therefore, the thermal parameters of multiple heat distribution points are collected, and the various heated areas of the lithium battery are determined based on the thermal parameters of the multiple heat distribution points, the distribution positions of the multiple heat distribution points and the previous accommodation areas of the lithium battery. This is compatible with the overall consideration of the thermal parameters of the multiple heat distribution points, the distribution positions of the multiple heat distribution points and the previous accommodation areas of the lithium battery, ensuring the accuracy of the various heated areas of the lithium battery.

[0020] At this time, after determining the heat distribution points of the lithium battery (as described in step S112), use thermal measurement equipment (such as an infrared thermal imager, a thermocouple array, etc.) to collect thermal parameters of these points; thermal parameters generally include temperature, heat flow or thermal radiation intensity, etc., which can reflect the thermal state of the battery at these points; at the same time, the accuracy and precision of the measuring equipment should be ensured during collection to avoid the influence of external interference (such as environmental radiation, air flow, etc.) on the measurement results; at the same time, the ambient temperature and humidity and other conditions during measurement should be recorded for subsequent data analysis and correction.

[0021] The collected thermal parameters are compared with preset thresholds or standards to determine whether the thermal status of the battery at these points is normal. For example, if the temperature at a certain point exceeds the allowable operating temperature range of the battery, this point is considered an overheating area. At this time, the thermal parameters of each heat distribution point and its corresponding thermal status (such as normal, overheated, overcooled, etc.) are recorded for subsequent analysis.

[0022] When analyzing the thermal state, it is necessary not only to consider the thermal parameters of a single point, but also to combine the distribution of these points and the previous housing area of the lithium battery (that is, the thermal distribution data or experience recorded in the battery's previous use); this helps to more comprehensively understand the thermal distribution inside the battery and identify hot spots or thermal anomaly areas. At this time, if the battery has been recorded with specific thermal anomaly areas in previous use (such as a side or corner that often overheats), then when analyzing the current thermal state, special attention should be paid to these areas, and consideration should be given to taking additional heat dissipation measures or adjusting the temperature control strategy. At the same time, the various heated areas of the lithium battery should be determined; these areas correspond to high heat generation areas, poor heat conduction areas or previously recorded thermal anomaly areas inside the battery; use a marker, label or software tool to mark these heated areas on the battery casing or in the data record, and record their location, size, thermal state and other information.

[0023] Specifically, assume that the heated area of a cylindrical lithium battery is being determined; the battery has been marked with five heat distribution points, located at the center of the top, the center of the bottom, and the center of the three sides; the temperature data of these points are collected using an infrared thermal imager; while the battery is discharged at a constant current to the cut-off voltage, the temperature data is collected at regular intervals using an infrared thermal imager; the maximum temperature and average temperature of each heat distribution point are recorded; the collected temperature data is compared with the allowable operating temperature range of the battery; assuming that the allowable operating temperature range of the battery is 20°C to 45°C; it is found that the temperature at the center of the top exceeds 45°C, while the temperatures of other points are within the normal range.

[0024] Combining the location information of the heat distribution points and previously recorded heat distribution data (if any), it was found that the top center area often overheated during previous use; therefore, special attention was paid to this area; at the same time, the top center area of the battery was determined to be the heated area; this area was marked on the battery casing with a marker, and its location, size (such as diameter), maximum temperature and average temperature were recorded; through this step, the heated area of the lithium battery was determined, which provided an important basis for subsequent temperature monitoring, heat dissipation design and life evaluation; the accuracy and comprehensiveness of these heated areas will directly affect the effectiveness of the temperature control strategy and the safety performance of the battery.

[0025] In one embodiment of the present application, a heated area matching table is collected, and the heated area matching table is shown in Table 1: Table 1 Heating area matching table

[0026] In this example, based on the currently measured temperature and the records of previous containment areas, the top center, side 1 center, and side 3 center are determined to be heated areas.

[0027] refer to Figure 3 In step S12, the thermal parameters of each heated area are collected, and the thermal distribution map of the lithium battery is determined according to the regional position, thermal parameters and internal distribution map of each heated area; In the specific implementation process of the present invention, the specific steps are: S121: monitoring each heated area in real time to determine a thermal parameter of each heated area, and determining a first distribution map according to the location of each heated area and the corresponding thermal parameter; S122: Determine a second distribution map based on the thermal parameters of each heated area and the internal distribution map of the lithium battery; determine the thermal distribution map of the lithium battery based on the first distribution map, the second distribution map and the morphology of the lithium battery, mark the thermal parameters of each heated area in the thermal distribution map of the lithium battery, and monitor the dynamic changes of the thermal parameters of each heated area.

[0028] In an embodiment of the present application, each heated area is monitored in real time to determine the thermal parameters of each heated area, and a first distribution map is determined based on the regional position of each heated area and the corresponding thermal parameters, which is compatible with the overall consideration of the regional position of each heated area and the corresponding thermal parameters, thereby ensuring the accuracy of the first distribution map.

[0029] At this time, after the various heated areas of the lithium battery are determined (as described in step S113), the thermal status of these heated areas needs to be monitored in real time; high-precision thermal measurement equipment, such as infrared thermal imagers, thermocouple arrays, or temperature sensor networks, are used to continuously or periodically measure the temperature of the heated areas; the monitoring frequency should be determined based on the operating status of the lithium battery and the expected rate of thermal change to ensure that any significant thermal anomalies can be captured.

[0030] Obtain thermal parameters of each heated area from the thermal measurement equipment, such as temperature, heat flow or thermal radiation intensity; for each heated area, record its key parameters such as maximum temperature, average temperature, temperature fluctuation range, etc.; if necessary, calculate the thermal gradient (i.e. the rate of change of temperature in different directions) to evaluate the heat conduction; at the same time, ensure the accuracy and reliability of the thermal parameters to avoid erroneous conclusions due to measurement errors or improper data processing; the thermal parameters should be compared with the allowable operating temperature range of the lithium battery and other relevant standards to evaluate the normality or abnormality of the thermal state.

[0031] Use drawing software or tools to draw a first distribution map based on the regional location of each heated area and the corresponding thermal parameters; the first distribution map is usually displayed in the form of a two-dimensional image, in which the color, height or value represents the size of the thermal parameters at different locations; clearly mark the location, size and corresponding thermal parameter value of each heated area in the map; at the same time, ensure the accuracy and clarity of the first distribution map for subsequent analysis and decision-making; consider using different colors or symbols to represent different thermal parameter ranges or abnormal states to enhance readability; if necessary, add a timeline or animation effect to show the dynamic changes of thermal parameters.

[0032] Furthermore, a second distribution map is determined based on the thermal parameters of each heated area and the internal distribution map of the lithium battery; the thermal distribution map of the lithium battery is determined based on the first distribution map, the second distribution map and the morphology of the lithium battery. In the thermal distribution map of the lithium battery, the thermal parameters of each heated area are marked, and the dynamic changes of the thermal parameters of each heated area are monitored, which is compatible with the overall consideration of the first distribution map, the second distribution map and the morphology of the lithium battery, thereby ensuring the accuracy of the thermal distribution map of the lithium battery.

[0033] At this point, after obtaining the thermal parameters of each heated area (as described in step S121), the heat distribution inside the battery is further analyzed in combination with the internal distribution map of the lithium battery (such as the internal structure map, material distribution map, etc.); the internal distribution map usually provides the location, size and material information of each component inside the battery, which is crucial for understanding the conduction and distribution of heat inside the battery; based on the thermal parameters of the heated area and the internal distribution map, a second distribution map is drawn using drawing software or tools; the second distribution map is intended to reflect the heat distribution at different locations inside the battery, including hot spots, heat conduction paths, temperature gradients and other information. At the same time, the accuracy and completeness of the internal distribution map are ensured so as to accurately reflect the structure and material distribution inside the battery; when drawing the second distribution map, the thermal conductivity and heat capacity of different components inside the battery are taken into account, as these factors will affect the distribution and conduction of heat; if necessary, use three-dimensional modeling or simulation software to simulate the heat distribution inside the battery to obtain more accurate results.

[0034] The overall thermal distribution diagram of the lithium battery should be determined by combining the first distribution diagram (heat distribution in the external heated area) and the second distribution diagram (internal heat distribution), as well as the lithium battery's shape (such as cylindrical, square, etc.). The thermal distribution diagram should clearly display the external and internal heat distribution of the battery, including information such as hot spot locations, temperature gradients, and heat conduction paths. Appropriate color coding or numerical annotations should be used to represent temperature or thermal parameters at different locations to enhance readability and understanding. At the same time, the accuracy and consistency of the first and second distribution diagrams should be ensured to accurately reflect the overall thermal distribution of the battery. The impact of battery shape on thermal distribution should be considered, such as the radial and axial temperature gradients of cylindrical batteries. The thermal distribution diagram should be easy to interpret and analyze to quickly identify potential thermal issues or abnormal conditions.

[0035] Clearly mark the location, size, and corresponding thermal parameters (such as maximum temperature, average temperature, etc.) of each heated area in the heat distribution map; use thermal measurement equipment to continuously monitor the thermal parameters of these heated areas and record their dynamic changes; the monitoring frequency should be determined based on the battery's operating status, environmental conditions, and expected rate of thermal change.

[0036] Specifically, assume that thermal monitoring is being performed on a cylindrical lithium battery. The battery has been identified to have two main heat-exposed areas: the top center and the side area near the positive electrode. Real-time monitoring is performed using an infrared thermal imager, and analysis is performed in conjunction with the battery's internal distribution map. The first distribution map shows the heat distribution on the outside of the battery, with the top center area colored dark red to indicate high temperature, and the side area near the positive electrode colored orange to indicate slightly lower temperature.

[0037] The second distribution map: drawn based on the internal distribution map and the thermal parameters of the heated area, it shows the heat conduction path and temperature gradient inside the battery; it was found that heat was mainly conducted from the top center area to the positive electrode material inside the battery, and a hot spot was formed in the positive electrode material; combining the first distribution map and the second distribution map, the overall heat distribution map of the lithium battery was drawn; in the map, the position, size and corresponding thermal parameters (such as maximum temperature and average temperature) of each heated area were marked; at the same time, an infrared thermal imager was used to continuously monitor the thermal parameters of these heated areas and record their dynamic changes; through this heat distribution map, the heat distribution of the battery in the current working state can be intuitively understood, and the thermal safety performance of the battery can be evaluated accordingly; if any abnormalities or potential thermal problems are found, timely measures are taken to deal with them to ensure the safe operation of the battery.

[0038] In some embodiments of the present application, an internal heat conduction path matching table is collected, and the internal heat conduction path matching table is shown in Table 2: Table 2 Internal heat conduction path matching table

[0039] According to the internal heat conduction path matching table, a second distribution map is drawn to show the internal heat conduction paths and hot spot locations in areas A and B. Then, combined with the first distribution map (external heat distribution), the overall heat distribution map of the lithium battery is obtained.

[0040] refer to Figure 4 In step S13, multiple cooling channels of the lithium battery are determined based on the traversal of the lithium battery, and a temperature control mode of the lithium battery is determined according to the multiple cooling channels, the heat distribution diagram of the lithium battery, and the working state of the lithium battery; In the specific implementation process of the present invention, the specific steps are: S131: Determining a traversal method for the lithium battery based on the environment in which the lithium battery is located and the shape of the lithium battery, and traversing the lithium battery along the traversal method. At this time, determining multiple pipeline features of the lithium battery based on the traversal of the lithium battery, and determining each cooling channel based on the identification of the multiple pipeline features, so as to collect multiple cooling channels; S132: Determine a first mode coefficient based on the plurality of cooling channels and a heat distribution diagram of the lithium battery, and determine a second mode coefficient based on the heat distribution diagram of the lithium battery and an operating state of the lithium battery; S133: In the lithium battery, a preset temperature control mode mapping relationship of the lithium battery is collected, and the temperature control mode of the lithium battery is determined according to the first mode coefficient, the second mode coefficient, and the temperature control mode mapping relationship. The temperature control mode of the lithium battery includes a local temperature control mode, a uniform temperature control mode, and a rapid cooling mode.

[0041] In an embodiment of the present application, a traversal mode of the lithium battery is determined based on the environment in which the lithium battery is located and the shape of the lithium battery, and the lithium battery is traversed along the traversal mode. At this time, multiple pipeline features of the lithium battery are determined based on the traversal of the lithium battery, and each cooling channel is determined based on the identification of multiple pipeline features to collect multiple cooling channels, which is compatible with the overall consideration of the environment in which the lithium battery is located and the shape of the lithium battery, and ensures the accuracy of the traversal mode of the lithium battery.

[0042] At this time, consider the external environmental factors of the lithium battery, such as temperature, humidity, air flow rate, etc.; these factors affect the heat dissipation performance and cooling requirements of the lithium battery; analyze the physical form of the lithium battery, including size, shape, internal structure, etc.; pay special attention to whether there are preset cooling channels or heat dissipation structures inside the lithium battery; based on the results of the environmental and morphological analysis, determine one or more traversal methods suitable for the lithium battery; the traversal method involves traversal of physical paths (such as physical inspection along the outer shell or internal structure of the lithium battery) or traversal of logical paths.

[0043] If physical path traversal is used, specific tools or equipment (such as endoscopes, thermal imagers, etc.) are required to inspect the internal structure of the lithium battery, especially the location and shape of the cooling channels. In addition, if logical path traversal is used, computer simulation software is required to construct a three-dimensional model of the lithium battery, and use algorithms to simulate the distribution and conduction of heat inside the battery to identify potential cooling channels.

[0044] During the traversal process, pay attention to observe and record the pipeline characteristics inside the lithium battery, such as the diameter, length, curvature, material type, etc. of the pipeline; these characteristics are crucial for the subsequent determination of the location and size of the cooling channel; use appropriate measuring tools or software to accurately record these pipeline characteristics to ensure the accuracy of the subsequent cooling channel design.

[0045] Based on the analysis results of the pipeline characteristics, the various cooling channels inside the lithium battery are identified and determined; these channels include preset coolant channels, heat pipes, heat sinks, etc.; the location, size, shape and connection relationship of each cooling channel are recorded to facilitate the subsequent design and optimization of the cooling system; if necessary, specific tools or equipment (such as X-ray imaging, CT scanning, etc.) are used to further verify and collect cooling channel information.

[0046] Furthermore, a first mode coefficient is determined based on the heat distribution diagram of multiple cooling channels and the lithium battery, and a second mode coefficient is determined based on the heat distribution diagram of the lithium battery and the working status of the lithium battery. This takes into account the overall consideration of the heat distribution diagram of the lithium battery and the working status of the lithium battery, thereby ensuring the accuracy of the second mode coefficient.

[0047] At this point, the position, size, shape of the multiple cooling channels inside the lithium battery and their relationship with the battery heat distribution are analyzed in detail; this includes whether the cooling channels can effectively cover the hot spots inside the battery and whether they can provide sufficient heat dissipation area to effectively reduce the battery temperature; the heat distribution map of the lithium battery is compared with the layout of the cooling channels to evaluate the improvement effect of the cooling channels on the heat distribution; the heat distribution map is usually obtained through thermal imaging technology or thermal simulation software, showing the temperature distribution in different areas inside the battery to calculate the first mode coefficient; this coefficient is a quantitative indicator that reflects the degree of match between the cooling channels and the heat distribution; it involves multiple factors, such as the total heat dissipation area of the cooling channels, the proportion of hot spots covered, the fluid flow rate in the cooling channels, etc.

[0048] Analyze the current operating status of the lithium battery, including the charge and discharge status, current size, power output, etc.; these factors directly affect the heat generation and temperature distribution inside the battery; based on the heat distribution diagram of the lithium battery, evaluate the heat generation under the current operating status; especially pay attention to whether there is local overheating or uneven temperature inside the battery; calculate the second mode coefficient based on the operating status analysis and heat distribution diagram evaluation; this second mode coefficient reflects the impact of the lithium battery's current operating status on temperature control requirements; it involves multiple factors, such as the battery's temperature gradient, the difference between the highest and lowest temperatures, the battery's workload, etc.

[0049] Specifically, a battery pack consists of multiple single cells, each of which contains a cooling channel. First, a heat distribution map of the battery pack is obtained, showing the temperature distribution in different areas inside the battery under specific charge and discharge conditions. Then, the layout of the cooling channels inside the battery pack is analyzed, and it is found that they are mainly concentrated in the central area of the battery, while there are relatively few cooling channels in the edge area of the battery. By comparing the heat distribution map and the cooling channel layout, it is found that the cooling channels can better cover the hot spots inside the battery, but there is insufficient heat dissipation in the edge area of the battery, so the first mode coefficient is calculated. Taking into account factors such as the total heat dissipation area of the cooling channel, the proportion of the hot spots covered, and the fluid flow rate in the cooling channel, a quantitative indicator is given to evaluate the degree of match between the cooling channel and the heat distribution. It is assumed that the value range of the first mode coefficient is 0 to 1, where 1 indicates a perfect match. In this example, since the cooling channel has a good coverage effect in the central area of the battery but is insufficient in the edge area, the first mode coefficient is close to but slightly lower than 1.

[0050] At the same time, the current operating status of the battery pack was analyzed, including information such as the charge and discharge current, power output, and temperature gradient of the battery. It was found that when the battery pack outputs high power, the temperature gradient is large and there is local overheating, so the second mode coefficient was calculated to reflect the impact of the current operating status of the battery on the temperature control demand. It is assumed that the value range of the second mode coefficient is also 0 to 1, where 1 indicates the highest temperature control demand. In this example, since the temperature gradient of the battery pack is large and there is local overheating when the battery pack outputs high power, the second mode coefficient is high and close to 1. Through the above steps, the first mode coefficient and the second mode coefficient are successfully calculated. These two coefficients will be used to subsequently determine the temperature control strategy of the lithium battery pack.

[0051] Therefore, in the lithium battery, the temperature control mode mapping relationship preset by the lithium battery is collected, and the temperature control mode of the lithium battery is determined according to the first mode coefficient, the second mode coefficient and the temperature control mode mapping relationship. The temperature control mode of the lithium battery includes a local temperature control mode, a uniform temperature control mode and a rapid cooling mode, which is compatible with the overall consideration of the first mode coefficient, the second mode coefficient and the temperature control mode mapping relationship, ensuring the accuracy of the temperature control mode of the lithium battery. At the same time, it is compatible with the overall consideration of multiple cooling channels, the heat distribution diagram of the lithium battery and the working status of the lithium battery, ensuring the accuracy of the temperature control mode of the lithium battery.

[0052] At this time, the temperature control mode mapping relationship preset for the lithium battery is collected. Preset mapping relationship: During the design phase of the lithium battery, a series of temperature control mode mapping relationships are usually preset; these mapping relationships define the temperature control modes that should be adopted under different conditions (such as different combinations of the first mode coefficient and the second mode coefficient); mapping relationship content: the mapping relationship includes multiple temperature control modes and their corresponding triggering conditions; for example, when both the first mode coefficient and the second mode coefficient are low, the local temperature control mode is adopted; when both are high, the rapid cooling mode is adopted; collection method: these preset mapping relationships are usually stored in the control system of the lithium battery, or provided through a special configuration file; in step S133, this information needs to be collected so that the temperature control mode can be determined based on real-time conditions later.

[0053] In step S132, the first mode coefficient and the second mode coefficient have been calculated; these two coefficients reflect the impact of the current thermal state and working state of the lithium battery on the temperature control requirements; the calculated first mode coefficient and second mode coefficient are matched with the preset temperature control mode mapping relationship; the temperature control mode that best matches the current coefficient combination is found; based on the matching result, the temperature control mode that the lithium battery should currently adopt is determined; this includes a local temperature control mode (temperature control for a specific area), a uniform temperature control mode (uniform cooling of the entire battery) or a rapid cooling mode (rapidly reducing the battery temperature in an emergency).

[0054] Local temperature control mode, uniform temperature control mode and rapid cooling mode are introduced; local temperature control mode: when there is local overheating or uneven temperature inside the battery, the local temperature control mode is adopted; by adjusting the cooling channel flow or temperature in specific areas, the temperature of these areas can be reduced while keeping the temperature of other areas stable; uniform temperature control mode: when the overall battery temperature is high and the distribution is relatively uniform, the uniform temperature control mode is adopted; by adjusting the cooling system of the entire battery, the internal temperature of the battery is kept within a relatively stable range; rapid cooling mode: in emergency situations, such as when the battery temperature rises sharply and causes safety problems, the rapid cooling mode is adopted; the battery temperature is quickly reduced by increasing the flow of the cooling channel, lowering the temperature of the coolant or starting additional heat dissipation equipment.

[0055] Specifically, the battery pack contains multiple single cells, each of which is equipped with a cooling channel; preset temperature control mode mapping relationships are collected from the battery pack control system; these mapping relationships define the temperature control mode that should be adopted under different combinations of first mode coefficients and second mode coefficients; for example, when the first mode coefficient and the second mode coefficient are both lower than 0.5, the local temperature control mode is adopted; when both are higher than 0.8, the rapid cooling mode is adopted; in other cases, the uniform temperature control mode is adopted.

[0056] During a certain driving process, the current first mode coefficient was calculated in real time to be 0.6 and the second mode coefficient was calculated to be 0.7. These two coefficients were matched with the preset temperature control mode mapping relationship and it was found that they fell within the trigger condition range of the uniform temperature control mode. Therefore, it was determined that the uniform temperature control mode should be used to control the temperature of the battery pack.

[0057] Based on the determined temperature control mode, the battery pack's cooling system was adjusted. By increasing the flow rate in the cooling channel and lowering the temperature of the coolant, the temperature of the entire battery pack was maintained within a relatively stable range. At the same time, the temperature changes of the battery pack were monitored to ensure the effectiveness of the temperature control strategy. Through the above steps, the appropriate temperature control mode was successfully determined based on the real-time status of the lithium battery, and the corresponding temperature control strategy was implemented. This helps to ensure that the lithium battery can maintain a stable temperature distribution under various operating conditions, thereby improving its safety and service life.

[0058] In some embodiments of the present application, a temperature control mode matching table is collected, and the temperature control mode matching table is shown in Table 3: Table 3 Temperature control mode matching table

[0059] Assume that the currently collected first mode coefficient C1 is 0.6 and the second mode coefficient C2 is 0.4; according to the temperature control mode matching table, these two coefficients fall within the range of 0.3-0.7, so the uniform temperature control mode should be used.

[0060] refer to Figure 5 In step S14, in the temperature control mode of the lithium battery, the overheat level of the lithium battery is determined based on the identification of the heat distribution map of the lithium battery, and the cooling efficiency of the lithium battery is determined according to the flow rate of the cooling liquid in the multiple cooling channels and the overheat level of the lithium battery; In the specific implementation process of the present invention, the specific steps are: S141: collecting a temperature control mode of the lithium battery, triggering temperature control of the lithium battery according to the temperature control mode of the lithium battery, monitoring changes in a heat distribution map of the lithium battery in real time, and outputting an updated heat distribution map; S142: determining a plurality of thermal warning features and heat concentration areas based on the identification of the updated heat distribution map, and determining an overheating level of the lithium battery based on the positions, shapes, and heat concentration areas of the plurality of thermal warning features; S143: Determine a first sub-cooling efficiency of the lithium battery according to the flow rate of the cooling liquid in the multiple cooling channels and the real-time temperature of the lithium battery, determine a second sub-cooling efficiency of the lithium battery according to the overheating level of the lithium battery and the real-time temperature of the lithium battery, and determine the cooling efficiency of the lithium battery based on the first sub-cooling efficiency, the second sub-cooling efficiency and the cooling efficiency mapping relationship.

[0061] In an embodiment of the present application, the temperature control mode of the lithium battery is collected, and the temperature control of the lithium battery is triggered along the temperature control mode of the lithium battery. The changes in the heat distribution map of the lithium battery are monitored in real time to output an updated heat distribution map, and the output of the updated heat distribution map is introduced.

[0062] At this point, the system needs to collect the currently preset or real-time determined temperature control mode from the lithium battery's control system or related configuration; the temperature control mode includes different strategies such as local temperature control, uniform temperature control or rapid cooling; the collection process involves reading the configuration information stored in the lithium battery management system (BMS) or obtaining real-time instructions from an external system through a communication interface.

[0063] Based on the collected temperature control pattern, the system needs to activate the corresponding temperature control mechanism; this involves adjusting the parameters of the cooling system, such as the flow rate, temperature or circulation speed of the coolant, to achieve precise control of the lithium battery temperature; triggering temperature control involves sending control instructions to the lithium battery cooling system, or adjusting the status of sensors and actuators associated with the cooling system.

[0064] After temperature control is activated, the system needs to monitor the thermal distribution map of the lithium battery in real time. This is usually achieved through a network of thermal sensors installed inside or outside the lithium battery. These sensors can measure the temperature of different areas of the battery in real time. The monitoring process involves multiple links such as data acquisition, signal processing and data storage. The system needs to collect data from the thermal sensors regularly or continuously and convert it into a thermal distribution map for visual analysis and subsequent processing.

[0065] During real-time monitoring, the system needs to regularly output updated thermal distribution maps; these updated thermal distribution maps reflect the real-time temperature status of the lithium battery under temperature control, which helps to evaluate the effectiveness of temperature control and the thermal safety of the lithium battery; the output process involves presenting the thermal distribution map in the form of images, charts or data tables on the user interface, or transmitting it to other systems or devices through a communication interface.

[0066] Furthermore, multiple heat warning features and heat concentration areas are determined based on the identification of the updated heat distribution map, and the overheating level of the lithium battery is determined based on the position, shape and heat concentration area of the multiple heat warning features. This is compatible with the overall consideration of the position, shape and heat concentration area of the multiple heat warning features, ensuring the accuracy of the overheating level of the lithium battery.

[0067] At this point, the system needs to conduct a detailed analysis of the updated heat distribution map to identify potential heat warning features and heat concentration areas; heat warning features include hot spots exceeding the preset temperature threshold, areas with abnormal temperature changes, etc.; these features usually indicate that there is a risk of overheating or thermal runaway inside the lithium battery; heat concentration areas refer to areas in the heat distribution map where the temperature is relatively high and the distribution is more concentrated; these areas are caused by uneven heat conduction or local heat generation inside the battery.

[0068] After identifying the thermal warning features, the system needs to further analyze the location and morphology of these features; the location information helps determine the specific location of the overheating area in the lithium battery, so that corresponding cooling measures can be taken; the morphological information reflects the size, shape and temperature distribution of the overheating area, which helps to assess the severity and development trend of the overheating.

[0069] After analyzing the location and form of the thermal warning features, the system needs to determine the overheating level of the lithium battery based on the overall situation of the heat concentration area. The overheating level is usually divided according to factors such as the size of the overheating area, the temperature, and the number and distribution of overheating features. Different overheating levels correspond to different risk levels and response measures.

[0070] Therefore, the first sub-cooling efficiency of the lithium battery is determined according to the flow rate of the cooling liquid in multiple cooling channels and the real-time temperature of the lithium battery, the second sub-cooling efficiency of the lithium battery is determined according to the overheating level of the lithium battery and the real-time temperature of the lithium battery, and the cooling efficiency of the lithium battery is determined based on the first sub-cooling efficiency, the second sub-cooling efficiency and the cooling efficiency mapping relationship. The overall consideration of the first sub-cooling efficiency, the second sub-cooling efficiency and the cooling efficiency mapping relationship is compatible to ensure the accuracy of the cooling efficiency of the lithium battery.

[0071] At this time, the system needs to collect the flow rate data of the cooling liquid in multiple cooling channels and the real-time temperature data of the lithium battery; the flow rate data reflects the cooling capacity of the cooling system for the lithium battery, while the real-time temperature data reflects the current thermal state of the lithium battery; based on these data, the system uses a preset algorithm or model to calculate the first sub-cooling efficiency; the first sub-cooling efficiency usually indicates the efficiency of the cooling system in reducing the temperature of the lithium battery under given flow rate and temperature conditions.

[0072] The system needs to refer to the previously determined lithium battery overheat level and real-time temperature data; the overheat level reflects the degree of thermal runaway inside the lithium battery, while the real-time temperature again provides information on the current thermal status of the lithium battery; the system combines this information and uses another set of preset algorithms or models to calculate the second sub-cooling efficiency; the second sub-cooling efficiency generally indicates the efficiency of the lithium battery itself in reducing the temperature through heat conduction, thermal radiation, etc. under given overheat level and temperature conditions.

[0073] The system needs to combine the first and second sub-cooling efficiencies and use a preset cooling efficiency mapping relationship (a lookup table, curve chart, or mathematical model) to determine the comprehensive cooling efficiency of the lithium battery. The cooling efficiency mapping relationship is usually based on a large amount of experimental data or simulation results, and it reflects the changing pattern of lithium battery cooling efficiency under different conditions. The system obtains the comprehensive cooling efficiency of the lithium battery under current conditions by searching or calculating. This efficiency value reflects the overall ability of the lithium battery to reduce temperature under given conditions.

[0074] Specifically, the cooling efficiency of the lithium battery pack is evaluated; the first sub-cooling efficiency is determined: the system collects the flow rates of the cooling liquid in the four cooling channels as 2m / s, 2.5m / s, 2.2m / s and 2.3m / s respectively, and the real-time temperature of the lithium battery pack is 45 degrees Celsius; the system uses a preset algorithm or model to calculate the first sub-cooling efficiency of 70% based on these flow rate and temperature data; this means that under the current flow rate and temperature conditions, the cooling system can reduce the temperature of the lithium battery pack by 70%.

[0075] Determining the second sub-cooling efficiency: The system has previously determined that the lithium battery pack's overheat level is "medium" and the real-time temperature is 45 degrees Celsius. Using another preset algorithm or model, combined with the overheat level and temperature data, the system calculates a second sub-cooling efficiency of 30%. This means that under the current overheat level and temperature conditions, the lithium battery pack itself can reduce its temperature by 30% through heat conduction, thermal radiation, and other methods.

[0076] Determining the cooling efficiency of the lithium battery: The system uses a preset cooling efficiency mapping relationship to combine the first sub-cooling efficiency of 70% and the second sub-cooling efficiency of 30% to calculate an overall cooling efficiency of 55% for the lithium battery pack. This means that under the current conditions, the lithium battery pack's overall ability to reduce temperature is 55%. The system uses this efficiency value to evaluate the effectiveness of cooling measures and adjust cooling system parameters or implement other cooling measures to improve cooling efficiency. Through these steps, the cooling efficiency of the lithium battery is successfully determined based on information such as the flow rate of the cooling liquid in the cooling channel, the real-time temperature of the lithium battery, and the overheat level. This will provide an important reference for subsequent cooling measures and help ensure the safe and efficient operation of the lithium battery.

[0077] In some embodiments of the present application, a cooling efficiency matching table is collected, and the cooling efficiency matching table is shown in Table 4: Table 4 Cooling efficiency matching table

[0078] refer to Figure 6 In step S15, the temperature control state of the lithium battery is determined according to the cooling efficiency of the lithium battery and the usage time of the lithium battery, and the service life of the lithium battery is determined according to the temperature control state of the lithium battery and the heat distribution diagram of the lithium battery; In the specific implementation process of the present invention, the specific steps are: S151: Collecting a cooling efficiency of the lithium battery and a usage time of the lithium battery, determining a first temperature control coefficient based on the cooling efficiency of the lithium battery and the usage time of the lithium battery, and determining a second temperature control coefficient based on the cooling efficiency of the lithium battery and a heat distribution diagram of the lithium battery; S152: In the lithium battery, determine the temperature control state of the lithium battery according to a mapping relationship between the first temperature control coefficient, the second temperature control coefficient, and the temperature control state of the lithium battery, and determine a corresponding temperature control level according to the temperature control state of the lithium battery and the model of the lithium battery; S153: Determine the current daily parameters of each heated area based on the detection of the heat distribution diagram of the lithium battery, determine the temperature influence coefficient of the lithium battery according to the current heat parameters and temperature control level of each heated area, and determine the service life of the lithium battery according to the temperature influence coefficient of the lithium battery, the current usage time of the lithium battery and the theoretical usage time of the lithium battery.

[0079] In an embodiment of the present application, the cooling efficiency of the lithium battery and the usage time of the lithium battery are collected, and a first temperature control coefficient is determined based on the cooling efficiency of the lithium battery and the usage time of the lithium battery. The second temperature control coefficient is determined based on the cooling efficiency of the lithium battery and the heat distribution map of the lithium battery. This takes into account the overall consideration of the cooling efficiency of the lithium battery and the heat distribution map of the lithium battery, thereby ensuring the accuracy of the second temperature control coefficient.

[0080] At this time, the cooling efficiency and usage time of the lithium battery are collected. The cooling efficiency is an important indicator for evaluating the heat dissipation capacity of the lithium battery. It is usually obtained by comparing the temperature drop rate of the lithium battery under specific conditions or the reduction range after the temperature stabilizes. This data is collected in real time by temperature sensors, thermal imagers and other equipment, or obtained under laboratory conditions through simulation experiments. At the same time, the usage time of the lithium battery refers to the total operating time of the lithium battery from the first use to the current moment. This time data is very important for evaluating the aging degree and performance degradation of the lithium battery. The usage time data is usually recorded by the lithium battery management system (BMS) or special monitoring software.

[0081] The first temperature control coefficient is an indicator that combines the cooling efficiency and usage time of the lithium battery. It reflects the degree of degradation of the heat dissipation performance of the lithium battery under the current usage state relative to the initial state. This coefficient is usually calculated using a preset algorithm or model, which takes into account factors such as the aging of the lithium battery material, the increase in internal resistance, and the decrease in thermal conductivity. At this time, a baseline cooling efficiency and usage time are set, and then the first temperature control coefficient is calculated based on the difference between the actual collected data and the baseline value through linear interpolation, nonlinear regression, and other methods.

[0082] The heat distribution map is an image of the temperature distribution on the surface or inside of a lithium battery collected by thermal imagers, infrared sensors and other equipment. It intuitively shows the temperature differences in different areas of the lithium battery and is of great significance for identifying hotspots and evaluating thermal management performance. The second temperature control coefficient is another important indicator calculated based on the cooling efficiency and heat distribution map of the lithium battery. It reflects the heat dissipation efficiency of the lithium battery under specific heat distribution conditions, as well as the impact of this distribution on the overall thermal management performance of the lithium battery. This coefficient is also calculated using a preset algorithm or model, taking into account factors such as temperature gradients, hotspot locations, and temperature fluctuations.

[0083] Furthermore, in the lithium battery, the temperature control state of the lithium battery is determined based on the mapping relationship between the first temperature control coefficient, the second temperature control coefficient and the temperature control state of the lithium battery, and the corresponding temperature control level is determined based on the temperature control state of the lithium battery and the model of the lithium battery. This is compatible with the overall consideration of the mapping relationship between the first temperature control coefficient, the second temperature control coefficient and the temperature control state of the lithium battery, thereby ensuring the accuracy of the temperature control state of the lithium battery.

[0084] At this time, the temperature control state mapping relationship is a preset correspondence or lookup table, which determines the temperature control state of the lithium battery based on the first temperature control coefficient and the second temperature control coefficient (sometimes also including other factors, such as battery temperature, charging status, etc.); the temperature control state is usually divided into several levels, such as normal, slightly overheated, severely overheated, etc.; the current temperature control state of the lithium battery is determined based on the collected first temperature control coefficient and the second temperature control coefficient, as well as the preset temperature control state mapping relationship.

[0085] Different lithium battery models have different thermal management requirements and strategies. Therefore, the lithium battery model information needs to be considered when determining the temperature control level. The temperature control level is determined based on the temperature control status and model information of the lithium battery and is used to guide subsequent temperature control measures. It includes various measures such as enhancing heat dissipation (such as increasing fan speed, starting coolant circulation, etc.), limiting charging rate, and reducing output power. Combined with the temperature control status and model information of the lithium battery, the corresponding temperature control level is determined through a preset algorithm or lookup table.

[0086] Specifically, assume that there is a lithium battery pack for an electric vehicle, whose model is XYZ-1234. The first temperature control coefficient calculated in the previous step is 0.90, and the second temperature control coefficient is 0.85. The preset temperature control state mapping relationship is as follows: if the first temperature control coefficient > 0.9 and the second temperature control coefficient > 0.9, the temperature control state is "normal"; if 0.8 < the first temperature control coefficient ≤ 0.9 and 0.7 < the second temperature control coefficient ≤ 0.9, the temperature control state is "slightly overheated"; if the first temperature control coefficient ≤ 0.8 and the second temperature control coefficient ≤ 0.7, the temperature control state is "severely overheated"; based on the current first temperature control coefficient of 0.90 and the second temperature control coefficient of 0.85, it is determined that the temperature control state of the lithium battery pack is "slightly overheated".

[0087] The preset temperature control level mapping relationship varies depending on the lithium battery model; for the XYZ-1234 model lithium battery pack, it is as follows: if the temperature control status is "normal", the temperature control level is "no special measures"; if the temperature control status is "slightly overheated", the temperature control level is "enhanced heat dissipation, limiting the charging rate to 80%"; if the temperature control status is "severely overheated", the temperature control level is "immediately stop charging, reduce output power to 50%, and start emergency heat dissipation mode"; based on the current temperature control status of "slightly overheated" and the lithium battery model XYZ-1234, the corresponding temperature control level is determined to be "enhanced heat dissipation, limiting the charging rate to 80%"; through this example, we can see how step S152 determines the temperature control state of the lithium battery based on the mapping relationship between the first temperature control coefficient, the second temperature control coefficient and the temperature control state of the lithium battery, and determines the corresponding temperature control level according to the temperature control state and model of the lithium battery; this information is of great significance for the subsequent formulation and implementation of temperature control measures and ensuring the safe operation of the lithium battery.

[0088] Therefore, based on the detection of the heat distribution map of the lithium battery, the current daily material parameters of each heated area are determined, the temperature influence coefficient of the lithium battery is determined according to the current heat parameters and temperature control level of each heated area, and the service life of the lithium battery is determined according to the temperature influence coefficient of the lithium battery, the current usage time of the lithium battery and the theoretical usage time of the lithium battery. The overall consideration of the temperature influence coefficient of the lithium battery, the current usage time of the lithium battery and the theoretical usage time of the lithium battery is compatible to ensure the accuracy of the service life of the lithium battery. At the same time, the temperature control state of the lithium battery is introduced to realize the overall consideration of the temperature control state of the lithium battery and the heat distribution map of the lithium battery, thereby ensuring the accuracy of the detection of the service life of the lithium battery.

[0089] At this time, the heat distribution map of the lithium battery is detected by thermal imagers, infrared sensors and other equipment to obtain the temperature distribution information on the surface or inside of the lithium battery; based on the heat distribution map, the areas with higher temperatures in the lithium battery are identified, and these areas are regarded as heated areas; specific thermal parameters are measured for each heated area, including temperature, heat flow, thermal resistance, etc. These parameters reflect the current thermal state of the heated area.

[0090] The temperature control level is determined in the previous step and is used to guide the implementation of temperature control measures. Based on the current thermal parameters and temperature control level of each heated area, the temperature influence coefficient of the lithium battery is calculated through a preset algorithm or model. This coefficient reflects the potential impact of the current thermal state on the performance and service life of the lithium battery.

[0091] The current usage time of a lithium battery records the total operating time of the lithium battery from its first use to the present. The theoretical usage time of a lithium battery determines the maximum usage time or number of cycles of the lithium battery under ideal conditions based on the lithium battery specification or data provided by the manufacturer. The remaining service life or expected life of the lithium battery is calculated through a preset life prediction model by combining the temperature influence coefficient, current usage time and theoretical usage time of the lithium battery.

[0092] Specifically, assume there is a lithium-ion battery pack for an electric vehicle, model ABC-5678. The temperature control level determined in the previous step is "enhanced heat dissipation, limiting the charging rate to 80%." A thermal imaging camera detects a high temperature in a certain area in the middle of the lithium-ion battery pack, identifying it as a heated area. Thermal parameter measurements of this heated area reveal a current temperature of 65°C, a heat flux of 10W / m², and a thermal resistance of 0.5°C / W.

[0093] The preset temperature impact coefficient calculation model takes into account multiple factors such as temperature, heat flow, thermal resistance, and temperature control level. Based on the current thermal parameters and temperature control level, the model calculates the temperature impact coefficient of the lithium battery to be 0.92 (indicating that the current thermal state has little impact on the performance and service life of the lithium battery).

[0094] The current battery life is 2 years (8 hours of average daily usage, for a total of approximately 5,840 hours). The theoretical battery life is 5 years (under ideal conditions, an average of 8 hours of daily usage, for a total of approximately 17,520 hours). Combining a temperature impact coefficient of 0.92, a current usage time of 5,840 hours, and a theoretical usage time of 17,520 hours, the preset life prediction model calculates the remaining battery life to be (17,520 - 5,840) * 0.92 = 10,736 hours, or approximately 2.8 years (assuming 8 hours of daily usage). This example shows how step S153 determines the current thermal parameters of each heated area based on the battery's thermal distribution map. It then calculates the battery's temperature impact coefficient based on these parameters and the temperature control level, and ultimately determines the battery's service life based on the battery's current and theoretical usage times. This information is important for evaluating the battery's thermal management performance, predicting its remaining life, and developing maintenance strategies.

[0095] In some embodiments of the present application, it is assumed that there is a lithium battery pack with the following thermal parameters of the heated areas: Area A: temperature 60°C, heat flux 5W / m²; Area B: temperature 55°C, heat flux 3W / m²; Collect the temperature influence coefficient matching table, which is shown in Table 5: Table 5 Temperature influence coefficient matching table

[0096] According to the temperature impact coefficient matching table, the temperature impact coefficient of region A is 0.9, and the temperature impact coefficient of region B is 0.95. Assuming that the two regions have the same weight, the overall temperature impact coefficient of the lithium battery is (0.9 + 0.95) / 2 = 0.925. Assuming that the current usage time of the lithium battery is 2 years (730 days, an average of 8 hours of use per day, a total operating time of approximately 5840 hours), and the theoretical usage time is 5 years (1825 days, a total theoretical usage time of approximately 14600 hours). According to the preset life prediction model, the remaining service life of the lithium battery is (14600 - 5840) * 0.925 = 7985 hours, or approximately 2.16 years (assuming 8 hours of use per day).

[0097] In some embodiments of this application, multi-channel independent PID control is implemented via a host computer. PID parameters are tuned using the critical proportional method, resulting in optimal parameter values of: Kc = -20, Ti = 0.15 min, and Td = 0.08 min, where Kc is the proportional gain, Ti is the integral time, and Td is the derivative time. A discrete PID algorithm based on a 1-second sampling period is employed, incorporating anti-windup and differential term discretization. The PWM duty cycle is dynamically adjusted to control the pump speed, achieving closed-loop temperature control (target temperature ±2°C).

[0098] Control Flow: (1) Parameter configuration stage: bind the mapping relationship between the PWM channel and the temperature acquisition channel, set the expected control temperature of each channel and the mapping relationship with the PWM channel; (2) Initialization phase: Configure the serial port parameters (baud rate, slave address) of the PWM module and the temperature acquisition module through the RS485 protocol. Set the PWM module frequency to 5kHz and start the temperature acquisition channel; import the tuned PID parameters (Kc=-20, Ti=0.15min, Td=0.08min); (3) PID closed-loop control stage: a. Sampling stage: Read the lithium battery temperature value of each channel.

[0099] b. Calculation phase: PID calculation is performed every 1 second. Based on the current temperature deviation, the PWM duty cycle of each channel is calculated. The standard PID algorithm formula is:

[0100] in: u ( t ): Controller output, i.e. PWM duty cycle; e (t ): Error, defined as the difference between the set point (SP) and the process variable (PV), that is, e(t)=SP(t)−PV(t); Kp : proportional gain; Ki : Integral gain (Ki=Kp / Ti, Ti is the integration time constant); Kd : Differential gain (Kd=KpTd, Td is the differential time constant); To facilitate software calculations in the host computer, the integral and differential terms in the traditional PID algorithm are discretized. In this example, the discretization further improves the algorithm to a method that combines the integral trapezoidal method with the backward difference method: Improved PID calculation (integral trapezoidal method + backward difference method):

[0101]

[0102]

[0103]

[0104] illustrate: I(k): the accumulated value of the integral term at the current moment; I(k−1): the cumulative value of the integral term at the previous moment; Kc: proportional gain (Kc=−20 in this system); Ti: integration time (in this system, Ti=0.15min=9s); e(k): error at the current moment (e=SP−PV); e(k−1): error at the previous moment; Δt: sampling period (Δt=1s in this system); The calculated U(k) value is output as the PWM duty cycle of the current state.

[0105] Parameter tuning: The PID parameters Kc, Ti, and Td are tuned using the critical proportion method. The tuning process is as follows: Turn off the integral and differential terms, and gradually increase Kc until the system oscillates with constant amplitude; Record critical gain Kcr = 20, oscillation period Tcr = 6s; Calculated according to the Ziegler-Nichols formula: Kc=0.6Kcr=12 → Based on safety margin adjustment and reverse regulation, Kc=-20 (reverse regulation) is actually used; Ti=0.5Tcr=3s → To suppress integral saturation and adapt to large inertia systems, the actual value is 0.15min (9s); Td=0.12*Tcr=0.72s → To compensate for sensor delay, the actual value is 0.08min (4.8s). Finally, the optimal tuning parameters are Kc=-20, Ti=0.15min=9s, and Td=0.08min=4.8s. c. The host computer calculates the duty cycle and sends it to the PWM module via RS485 communication. This dynamically adjusts the water pump speed, achieving real-time negative feedback regulation of the cooling flow rate and temperature. A higher duty cycle and faster water pump speed increase the cooling flow rate, which in turn reduces the lithium battery temperature more quickly. Temperature feedback enables closed-loop control, achieving control accuracy better than ±2°C. (4) Exception handling stage: The test will be terminated and an alarm will be issued when communication fails; the output will be limited when the duty cycle exceeds 0%-100%.

[0106] See also Figure 7 , Figure 7 : is a schematic diagram of the structural composition of a lithium battery life detection system based on multi-channel temperature control in an embodiment of the present invention; the lithium battery life detection system based on multi-channel temperature control includes: The heated area module 21 is used to determine the working state of the lithium battery according to multiple working parameters of the lithium battery and mark each heated area of the lithium battery; The heat distribution map module 22 is used to collect the heat parameters of each heated area and determine the heat distribution map of the lithium battery according to the regional location, heat parameters and internal distribution map of each heated area; a temperature control mode module 23 for determining a plurality of cooling channels of the lithium battery based on the traversal of the lithium battery, and determining a temperature control mode of the lithium battery according to the plurality of cooling channels, a heat distribution diagram of the lithium battery, and an operating state of the lithium battery; a cooling efficiency module 24 for determining the overheat level of the lithium battery based on identification of the heat distribution diagram of the lithium battery in the temperature control mode of the lithium battery, and determining the cooling efficiency of the lithium battery based on the flow rate of the cooling liquid in the plurality of cooling channels and the overheat level of the lithium battery; The service life module 25 is used to determine the temperature control state of the lithium battery according to the cooling efficiency of the lithium battery and the use time of the lithium battery, and to determine the service life of the lithium battery according to the temperature control state of the lithium battery and the heat distribution diagram of the lithium battery.

[0107] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A lithium battery life detection method based on multi-channel temperature control, characterized in that: include: Determine the working status of the lithium battery based on multiple working parameters of the lithium battery and mark each heated area of the lithium battery; Collecting thermal parameters of each heated area, and determining a thermal distribution map of the lithium battery based on the regional location, thermal parameters and internal distribution map of each heated area; Determining multiple cooling channels of the lithium battery based on the traversal of the lithium battery, and determining a temperature control mode of the lithium battery according to the multiple cooling channels, a heat distribution diagram of the lithium battery, and an operating state of the lithium battery; In the temperature control mode of the lithium battery, the overheat level of the lithium battery is determined based on the identification of the heat distribution map of the lithium battery, and the cooling efficiency of the lithium battery is determined according to the flow rate of the cooling liquid in the multiple cooling channels and the overheat level of the lithium battery; The temperature control state of the lithium battery is determined according to the cooling efficiency of the lithium battery and the usage time of the lithium battery, and the service life of the lithium battery is determined according to the temperature control state of the lithium battery and the heat distribution diagram of the lithium battery.

2. The lithium battery life detection method based on multi-channel temperature control according to claim 1, characterized in that: The method of determining the working state of the lithium battery according to the multiple working parameters of the lithium battery and marking each heated area of the lithium battery includes: Real-time monitoring of lithium batteries, and collection of multiple operating parameters of lithium batteries, and determination of the operating state of lithium batteries based on the multiple operating parameters and the morphology of the lithium batteries, which include standard energy supply state, fast energy supply state, and slow energy supply state; When the lithium battery is in a working state, the electrical energy output by the lithium battery is collected, and a plurality of heat distribution points of the lithium battery are determined according to the electrical energy, the environment in which the lithium battery is located, and the shape of the lithium battery; the plurality of heat distribution points are evenly distributed on a plurality of sides of the lithium battery; Thermal parameters of multiple heat distribution points are collected, and each heated area of the lithium battery is determined according to the thermal parameters of the multiple heat distribution points, the distribution positions of the multiple heat distribution points, and the previous storage area of the lithium battery.

3. The lithium battery life detection method based on multi-channel temperature control according to claim 1, characterized in that: The collecting of thermal parameters of each heated area and determining the thermal distribution map of the lithium battery according to the regional position, thermal parameters and internal distribution map of each heated area include: Monitor each heated area in real time to determine a thermal parameter of each heated area, and determine a first distribution map according to the area position of each heated area and the corresponding thermal parameter; A second distribution map is determined based on the thermal parameters of each heated area and the internal distribution map of the lithium battery. A thermal distribution map of the lithium battery is determined based on the first distribution map, the second distribution map and the morphology of the lithium battery. In the thermal distribution map of the lithium battery, the thermal parameters of each heated area are marked, and the dynamic changes of the thermal parameters of each heated area are monitored.

4. The method for detecting the life of a lithium battery based on multi-channel temperature control according to claim 1, characterized in that: The method of determining a plurality of cooling channels of the lithium battery based on the traversal of the lithium battery, and determining a temperature control mode of the lithium battery according to the plurality of cooling channels, a heat distribution diagram of the lithium battery, and an operating state of the lithium battery, includes: The traversal mode of the lithium battery is determined based on the environment in which the lithium battery is located and the shape of the lithium battery, and the lithium battery is traversed along the traversal mode. At this time, multiple pipeline features of the lithium battery are determined based on the traversal of the lithium battery, and each cooling channel is determined based on the identification of multiple pipeline features to collect multiple cooling channels.

5. The lithium battery life detection method based on multi-channel temperature control according to claim 4, characterized in that: The method further includes determining a plurality of cooling channels of the lithium battery based on the traversal of the lithium battery, and determining a temperature control mode of the lithium battery according to the plurality of cooling channels, a heat distribution diagram of the lithium battery, and an operating state of the lithium battery: Determining a first mode coefficient based on a heat distribution diagram of the plurality of cooling channels and the lithium battery, and determining a second mode coefficient based on the heat distribution diagram of the lithium battery and an operating state of the lithium battery; In a lithium battery, a preset temperature control mode mapping relationship of the lithium battery is collected, and the temperature control mode of the lithium battery is determined according to the first mode coefficient, the second mode coefficient and the temperature control mode mapping relationship. The temperature control mode of the lithium battery includes a local temperature control mode, a uniform temperature control mode and a rapid cooling mode.

6. The lithium battery life detection method based on multi-channel temperature control according to claim 1, characterized in that: In the temperature control mode of the lithium battery, the overheat level of the lithium battery is determined based on the identification of the heat distribution diagram of the lithium battery, and the cooling efficiency of the lithium battery is determined according to the flow rate of the cooling liquid in the multiple cooling channels and the overheat level of the lithium battery, including: Collect the temperature control mode of the lithium battery, trigger the temperature control of the lithium battery according to the temperature control mode of the lithium battery, monitor the changes of the heat distribution map of the lithium battery in real time, and output an updated heat distribution map; Based on the identification of the updated heat distribution map, multiple heat warning features and heat concentration areas are determined, and the overheating level of the lithium battery is determined based on the positions, shapes and heat concentration areas of the multiple heat warning features.

7. The lithium battery life detection method based on multi-channel temperature control according to claim 6, characterized in that: In the temperature control mode of the lithium battery, the overheat level of the lithium battery is determined based on the identification of the heat distribution diagram of the lithium battery, and the cooling efficiency of the lithium battery is determined according to the flow rate of the cooling liquid in the multiple cooling channels and the overheat level of the lithium battery, and further includes: The first sub-cooling efficiency of the lithium battery is determined according to the flow rate of the cooling liquid in multiple cooling channels and the real-time temperature of the lithium battery, the second sub-cooling efficiency of the lithium battery is determined according to the overheating level of the lithium battery and the real-time temperature of the lithium battery, and the cooling efficiency of the lithium battery is determined based on the first sub-cooling efficiency, the second sub-cooling efficiency and the cooling efficiency mapping relationship.

8. The lithium battery life detection method based on multi-channel temperature control according to claim 1, characterized in that: The method of determining the temperature control state of the lithium battery according to the cooling efficiency of the lithium battery and the usage time of the lithium battery, and determining the service life of the lithium battery according to the temperature control state of the lithium battery and the heat distribution diagram of the lithium battery, includes: The cooling efficiency of the lithium battery and the usage time of the lithium battery are collected, a first temperature control coefficient is determined based on the cooling efficiency of the lithium battery and the usage time of the lithium battery, and a second temperature control coefficient is determined based on the cooling efficiency of the lithium battery and a heat distribution diagram of the lithium battery.

9. The lithium battery life detection method based on multi-channel temperature control according to claim 8, characterized in that: The method of determining the temperature control state of the lithium battery according to the cooling efficiency of the lithium battery and the usage time of the lithium battery, and determining the service life of the lithium battery according to the temperature control state of the lithium battery and the heat distribution diagram of the lithium battery, further includes: In the lithium battery, the temperature control state of the lithium battery is determined according to the mapping relationship between the first temperature control coefficient, the second temperature control coefficient and the temperature control state of the lithium battery, and the corresponding temperature control level is determined according to the temperature control state of the lithium battery and the model of the lithium battery; Based on the detection of the heat distribution map of the lithium battery, the current daily material parameters of each heated area are determined, the temperature influence coefficient of the lithium battery is determined according to the current heat parameters and temperature control level of each heated area, and the service life of the lithium battery is determined according to the temperature influence coefficient of the lithium battery, the current usage time of the lithium battery and the theoretical usage time of the lithium battery.

10. A lithium battery life detection system based on multi-channel temperature control, characterized in that: The life detection system of a lithium battery based on multi-channel temperature control is applied to the life detection method of a lithium battery based on multi-channel temperature control according to any one of claims 1 to 9, and the life detection system of a lithium battery based on multi-channel temperature control comprises: The heated area module is used to determine the working status of the lithium battery based on multiple operating parameters of the lithium battery and mark each heated area of the lithium battery; The heat distribution map module is used to collect the heat parameters of each heated area and determine the heat distribution map of the lithium battery according to the regional location, heat parameters and internal distribution map of each heated area; A temperature control mode module is used to determine multiple cooling channels of the lithium battery based on the traversal of the lithium battery, and determine the temperature control mode of the lithium battery according to the multiple cooling channels, the heat distribution diagram of the lithium battery and the working status of the lithium battery; A cooling efficiency module is used to determine the overheat level of the lithium battery based on the identification of the heat distribution map of the lithium battery in the temperature control mode of the lithium battery, and to determine the cooling efficiency of the lithium battery according to the flow rate of the cooling liquid in the multiple cooling channels and the overheat level of the lithium battery; The service life module is used to determine the temperature control state of the lithium battery according to the cooling efficiency of the lithium battery and the use time of the lithium battery, and to determine the service life of the lithium battery according to the temperature control state of the lithium battery and the heat distribution diagram of the lithium battery.

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