Lithium battery chip charging and discharging heat dissipation performance test system

By designing a lithium battery chip charging and discharging heat dissipation performance testing system, the system comprehensively monitors the environment and connection status, solving the problem of incomplete overall performance evaluation in traditional testing methods. This enables more accurate and timely performance evaluation, improving the reliability and practicality of the testing system.

CN119310468AInactive Publication Date: 2025-01-14苏州钧闳智能化设备有限公司

Patent Information

Application Number
CN202411854320.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-17
Publication Date
2025-01-14
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional lithium battery chip charging and discharging heat dissipation performance testing methods lack a comprehensive evaluation of overall performance and fail to fully consider the impact of environmental factors and connection strength on performance, resulting in inaccurate and incomplete test results.

Method used

A lithium battery chip charging and discharging heat dissipation performance testing system was designed, which includes an environmental monitoring module, a lithium battery status detection module, a connection firmness monitoring module, an analysis module, a charging and discharging testing module, and an evaluation module. The system collects data through multiple sensors, establishes a dataset, performs calculations and analysis, generates real-time environmental coefficients, connection firmness coefficients, and performance evaluation coefficients, and generates early warning commands.

Benefits of technology

It enables comprehensive monitoring of environmental conditions, initial state, and connection strength of lithium battery chips, providing more accurate performance evaluation, improving the timeliness and practicality of the testing system, enabling timely detection and handling of non-conformities, and improving the reliability of test results.

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Abstract

The invention discloses a lithium battery chip charging and discharging heat dissipation performance testing system, and relates to the technical field of lithium battery performance testing, and the system achieves the comprehensive monitoring of the environment condition, the initial state and the connection firmness of a lithium battery chip through the introduction of an environment monitoring module, a lithium battery state detection module and a connection firmness monitoring module. The analysis module comprehensively calculates a real-time environment coefficient SHj, a connection firmness coefficient Ljg and a battery chip initial state coefficient Cszt, and provides accurate basic data for charging and discharging tests. And through analog calculation and analysis, a charging stability coefficient, a discharging stability coefficient, a cycle performance stability coefficient and a heat dissipation stability coefficient are obtained, so that more comprehensive and accurate battery performance evaluation is realized. And the evaluation module generates an early warning instruction through comparison with a preset environment threshold value, a firmness threshold value and a performance threshold value so as to ensure that the unqualified problems of the current environment, connection and performance can be found and processed in time.
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Description

Technical Field

[0001] The invention relates to the technical field of lithium battery performance testing, and in particular to a lithium battery chip charging, discharging and heat dissipation performance testing system. Background Art

[0002] As a core component of modern battery technology, lithium battery chips are widely used in mobile devices, electric vehicles, energy storage and other fields. In practical applications, the performance of lithium battery chips is directly related to the battery life, safety and overall performance of the equipment. Among them, the charging and discharging heat dissipation performance is one of the key indicators for evaluating the performance of lithium battery chips.

[0003] Traditional testing methods for charging and discharging heat dissipation performance of lithium battery chips face a series of challenges. First, past testing systems usually only focus on measuring a single performance parameter, such as current, voltage, etc., but lack a comprehensive evaluation of overall performance. This makes it difficult to fully understand the performance of battery chips in practical applications, and it is impossible to fully consider the impact of multiple factors on performance. Existing testing systems are deficient in monitoring environmental conditions. Lithium battery chips work in different environments, and environmental conditions are directly related to battery performance and safety. Traditional testing systems fail to fully consider the potential impact of environmental factors on test results, and lack comprehensive monitoring and analysis of environmental parameters.

[0004] In addition, the impact of connection firmness on battery chip performance has not received enough attention. Factors such as wire connection may cause loose connection, thus affecting charging and discharging performance. Traditional systems usually have limited monitoring of connection points and fail to fully consider the impact of these factors on battery chip performance. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a lithium battery chip charging and discharging heat dissipation performance testing system to solve the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a lithium battery chip charging and discharging heat dissipation performance testing system, including an environmental monitoring module, a lithium battery status detection module, a connection firmness monitoring module, an analysis module, a charging and discharging test module, a three-dimensional heat dissipation simulation module and an evaluation module; The environmental monitoring module is used to collect the current charging and discharging environmental data of the lithium battery chip and establish an environmental condition data set; The lithium battery status detection module is used to monitor the initial status data of the target lithium battery and establish a battery status data set; The connection firmness monitoring module is used to collect the connection data between the battery chip and the charging and discharging test equipment wire, obtain the connection point data, and establish the connection point data set; The analysis module is used to calculate and analyze the environmental condition data set, the battery state data set and the connection point data set to obtain: the real-time environmental coefficient SHj, the connection firmness coefficient Ljg and the battery chip initial state coefficient Cszt; The charge and discharge test module is used to electrically connect the lithium battery chip with the charge test equipment, the discharge test equipment, the cycle test equipment and the heat dissipation test equipment, collect and obtain the charge data, the discharge data, the cycle charge and discharge data and the heat dissipation data, establish the charge database, the discharge database, the cycle database and the heat dissipation database, and establish the lithium battery charge and discharge heat dissipation test model, simulate and calculate and analyze the charge database, the discharge database, the cycle database and the heat dissipation database, and obtain: the charge stability coefficient Cd, the discharge stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr; The evaluation module includes a first evaluation unit, a second evaluation unit and a third evaluation unit. The first evaluation unit is used to compare the real-time environmental coefficient SHj with the preset environmental threshold. When the real-time environmental coefficient SHj is greater than the preset environmental threshold, it indicates that the current environment is unqualified and a first warning instruction is generated; the second evaluation unit is used to compare the connection firmness coefficient Ljg with the preset firmness threshold. When the connection firmness coefficient Ljg is less than the preset firmness threshold, it indicates that the current battery chip connection is unqualified and a second warning instruction is generated; the third evaluation unit is used to associate the charging stability coefficient Cd, the discharging stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr to obtain a performance evaluation coefficient PG; and compare the performance evaluation coefficient PG with the preset performance threshold. When the performance evaluation coefficient PG is less than the preset performance threshold, it indicates that the lithium battery charging and discharging heat dissipation performance is unqualified and a third warning instruction is generated.

[0007] Preferably, the environmental condition data set includes at least: a real-time temperature value wd, a real-time humidity value sd, a real-time electromagnetic interference value dcz and a real-time light intensity value qdz; The real-time temperature value wd is directly measured and obtained by installing a temperature sensor, and the real-time humidity value sd is directly measured and obtained by a humidity sensor; the real-time electromagnetic interference value dcz is directly measured and obtained by an electromagnetic induction sensor, and the real-time light intensity value qdz is collected and obtained by a photosensitive diode.

[0008] Preferably, the battery status data set includes at least: battery capacity rl, initial charging state, number of charge and discharge cycles zqs, battery internal resistance nz and first initial temperature cswd; The battery capacity is measured and obtained by a battery tester. The initial charging state includes an initial current csdl and an initial voltage csdy, which are measured and obtained by a current sensor and a voltage sensor. The number of charge and discharge cycles zqs is used to collect the historical number of charge and discharge cycles of the target lithium battery through a counter. The battery internal resistance nz is measured and obtained by an internal resistance tester. The first initial temperature cswd is directly obtained by testing the battery surface with a temperature sensor.

[0009] Preferably, the connection point data set includes at least: a first resistance value dz1, a second resistance value dz2, a connection point wire vibration frequency value zdplz, an instantaneous voltage value ssdy and an instantaneous current value ssdl; At the connection point between the battery chip and the charging and discharging test equipment wire, as a monitoring point, the first resistance value dz1 is used to represent the resistance value of the initial state of the connection point between the battery chip and the charging and discharging test equipment wire, and is obtained by measuring with a resistance meter; the second resistance value dz2 is used to represent the resistance value after a certain timestamp, and is obtained by measuring with a resistance meter, and the vibration frequency value zdplz of the connection point wire is obtained by collecting at the monitoring point through a vibration sensor; the instantaneous voltage value ssdy and the instantaneous current value ssdl are obtained by measuring with a current transformer and a voltage transformer.

[0010] Preferably, the real-time environmental coefficient SHj is obtained by extracting the real-time temperature value wd, the real-time humidity value sd, the real-time electromagnetic interference value dcz and the real-time light intensity value qdz from the environmental condition data set; after dimensionless processing, the real-time environmental coefficient SHj is generated by the following formula: ; in, , , ,and , , and is the weight, and its specific value is set by the user. It is the normal value of the first correction; The method for obtaining the initial state coefficient Cszt of the battery chip is as follows: extracting the battery capacity rl, initial current csdl, initial voltage csdy, number of charge and discharge cycles zqs, battery internal resistance nz and first initial temperature cswd from the battery state data set; after normalization, the initial state coefficient Cszt of the battery chip is calculated by the following formula: ; in, , , , ,and , , , and is the weight, whose specific value is set by the user or generated by analytical function fitting. It is the second normal value; The connection firmness coefficient Ljg is obtained by extracting the first resistance value dz1, the second resistance value dz2, the connection point wire vibration frequency value zdplz, the instantaneous voltage value ssdy and the instantaneous current value ssd of the connection point data set; after normalization, the connection firmness coefficient Ljg is calculated by the following formula: ; Where BZ represents the preset standard resistance value, BZ1 represents the preset standard vibration frequency value of the wire, and , , , , ,and , , , , and is the weight, and its specific value is set by the user. This is the normal value for the third revision.

[0011] Preferably, the charging database includes the maximum current value zd1, the minimum current value zd2, the maximum voltage value zdy1, the minimum voltage value zdy2, the charging average voltage value pjdyz and the discharging average current value cddlz during the charging process; The discharge database includes a maximum current value zd3, a minimum current value zd4, a maximum voltage value zdy3, a minimum voltage value zdy4, a discharge average voltage value fddyz and a discharge average current value fddlz during the discharge process; The cycle database includes an initial capacity csrl, a final cycle capacity mcxhrl and a cycle number xhcs; The heat dissipation database includes a maximum temperature wdzg, a minimum temperature zdwd and an average temperature pjwd.

[0012] Preferably, a lithium battery charging and discharging heat dissipation test model is established, and the charging database, the discharging database, the cycle database and the heat dissipation database are simulated and analyzed, and the charging stability coefficient Cd, the discharging stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr are obtained by the following formula; ; In the formula, r1 and r2 are weight values, and their specific values ​​are adjusted and set by the user, and , ,and ; ; Where r3 and r4 are weight values, and their specific values ​​are adjusted and set by the user, and , ,and ; ; .

[0013] Preferably, the first evaluation unit is used to compare the real-time environment coefficient SHj with the preset environment threshold to obtain a first evaluation result, including: when the real-time environment coefficient SHj is greater than the preset environment threshold, it indicates that the current environment is unqualified and a first warning instruction is generated; when the real-time environment coefficient SHj is less than or equal to the preset environment threshold, it indicates that the current environment is unqualified; The second evaluation unit is used to compare the connection firmness coefficient Ljg with the preset firmness threshold to obtain a second evaluation result, including: when the connection firmness coefficient Ljg is less than the preset firmness threshold, it indicates that the current battery chip connection is unqualified and a second early warning instruction is generated; when the connection firmness coefficient Ljg is greater than or equal to the preset firmness threshold, it indicates that the current battery chip connection is qualified.

[0014] Preferably, the third evaluation unit is used to generate a performance evaluation coefficient PG by using the following correlation formula to calculate the charging stability coefficient Cd, the discharging stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr: ; In the formula, , , , , and , , , and is the weight, and its specific value is adjusted and set by the user; The performance evaluation coefficient PG is compared with a preset performance threshold. When the performance evaluation coefficient PG is less than the preset performance threshold, it indicates that the charging and discharging heat dissipation performance of the lithium battery is unqualified, and a third warning instruction is generated; When the performance evaluation coefficient PG is greater than or equal to the preset performance threshold, it indicates that the charging and discharging heat dissipation performance of the lithium battery is qualified.

[0015] Preferably, the evaluation module also includes a fourth evaluation unit, which is used to compare the battery chip initial state coefficient Cszt with a preset state threshold. When the battery chip initial state coefficient Cszt is less than the preset state threshold, it indicates that the battery initial state is unqualified and a fourth early warning instruction is generated; when the battery chip initial state coefficient Cszt is greater than or equal to the preset state threshold, it indicates that the battery initial state is qualified.

[0016] The present invention provides a lithium battery chip charging and discharging heat dissipation performance testing system. It has the following beneficial effects: (1) This lithium battery chip charging and discharging heat dissipation performance test system can comprehensively monitor the environmental conditions, initial status and connection firmness of the lithium battery chip by introducing an environmental monitoring module, a lithium battery status detection module and a connection firmness monitoring module. This helps to fully understand the working environment and status of the battery in actual use.

[0017] (2) This is a lithium battery chip charging and discharging heat dissipation performance test system. The analysis module comprehensively calculates the real-time environmental coefficient, connection firmness coefficient and battery chip initial state coefficient, providing more accurate basic data for charging and discharging tests. The data collected by the charging and discharging test module is simulated and analyzed to obtain the charging stability coefficient, discharge stability coefficient, cycle performance stability coefficient and heat dissipation stability coefficient, so as to more comprehensively and accurately evaluate the battery performance.

[0018] (3) In this lithium battery chip charging and discharging heat dissipation performance test system, the evaluation module generates corresponding warning instructions by comparing with the preset environmental threshold, firmness threshold and performance threshold. This helps to timely discover and deal with unqualified problems in the current environment, connection and performance, and improves the timeliness and practicality of the test system.

[0019] (4) This lithium battery chip charge and discharge heat dissipation performance test system introduces a three-dimensional heat dissipation simulation module, which enables the system to have a more comprehensive understanding of the heat dissipation performance. This makes the test system closer to actual working conditions, improves the practicality of the test results, and provides a more reliable performance evaluation method for the research and development and application of lithium battery chips. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a schematic diagram of a lithium battery chip charging and discharging heat dissipation performance test system block diagram of the present invention; In the figure: 1. Environmental monitoring module; 2. Lithium battery status detection module; 3. Connection firmness monitoring module; 4. Analysis module; 5. Charge and discharge test module; 6. Three-dimensional heat dissipation simulation module; 7. Evaluation module; 71. First evaluation unit; 72. Second evaluation unit; 73. Third evaluation unit; 74. Fourth evaluation unit. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Example 1: The present invention provides a lithium battery chip charging and discharging heat dissipation performance test system, please refer to Figure 1 , including an environmental monitoring module 1, a lithium battery status detection module 2, a connection firmness monitoring module 3, an analysis module 4, a charge and discharge test module 5, a three-dimensional heat dissipation simulation module 6 and an evaluation module 7; The environmental monitoring module 1 is used to collect the current charging and discharging environmental data of the lithium battery chip and establish an environmental condition data set; The lithium battery status detection module 2 is used to monitor the initial status data of the target lithium battery and establish a battery status data set; The connection firmness monitoring module 3 is used to collect the connection data between the battery chip and the charging and discharging test equipment wire, obtain the connection point data, and establish the connection point data set; The analysis module 4 is used to calculate and analyze the environmental condition data set, the battery state data set and the connection point data set to obtain: the real-time environmental coefficient SHj, the connection firmness coefficient Ljg and the battery chip initial state coefficient Cszt; The charge and discharge test module 5 is used to electrically connect the lithium battery chip with the charge test equipment, the discharge test equipment, the cycle test equipment and the heat dissipation test equipment, collect and obtain the charge data, the discharge data, the cycle charge and discharge data and the heat dissipation data, establish the charge database, the discharge database, the cycle database and the heat dissipation database, and establish the lithium battery charge and discharge heat dissipation test model, simulate and calculate and analyze the charge database, the discharge database, the cycle database and the heat dissipation database, and obtain: the charge stability coefficient Cd, the discharge stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr; The evaluation module 7 includes a first evaluation unit 71, a second evaluation unit 72 and a third evaluation unit 73. The first evaluation unit 71 is used to compare the real-time environmental coefficient SHj with the preset environmental threshold. When the real-time environmental coefficient SHj is greater than the preset environmental threshold, it indicates that the current environment is unqualified and a first warning instruction is generated; the second evaluation unit 72 is used to compare the connection firmness coefficient Ljg with the preset firmness threshold. When the connection firmness coefficient Ljg is less than the preset firmness threshold, it indicates that the current battery chip connection is unqualified and a second warning instruction is generated; the third evaluation unit 73 is used to associate the charging stability coefficient Cd, the discharging stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr to obtain a performance evaluation coefficient PG; and compare the performance evaluation coefficient PG with the preset performance threshold. When the performance evaluation coefficient PG is less than the preset performance threshold, it indicates that the charging and discharging heat dissipation performance of the lithium battery is unqualified and a third warning instruction is generated.

[0023] In this embodiment, it includes an environmental monitoring module 1, a lithium battery state detection module 2, a connection firmness monitoring module 3, an analysis module 4, a charge and discharge test module 5, a three-dimensional heat dissipation simulation module 6 and an evaluation module 7. By introducing these modules, the system can comprehensively monitor environmental conditions, battery status and connection firmness, and obtain real-time environmental coefficients, connection firmness coefficients and battery chip initial state coefficients through comprehensive analysis. The charge and discharge test module 5 is used to collect charging, discharging, cyclic charge and discharge and heat dissipation data, establish a relevant database, and obtain the charging stability coefficient Cd, the discharge stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr through simulation calculation and analysis.

[0024] The evaluation module 7 includes a first evaluation unit 71, a second evaluation unit 72 and a third evaluation unit 73, and generates corresponding warning instructions by comparing with preset thresholds. This enables the system to promptly detect and respond to problems such as unqualified current environment, unqualified battery chip connection and unqualified performance, thereby improving the comprehensiveness, accuracy and practicality of the test.

[0025] This innovative testing system is targeted, comprehensive and practical. It can effectively solve the limitations of traditional testing methods and provide a more reliable performance evaluation method for the research and development, production and application of lithium battery chips.

[0026] Example 2: This example is an explanation of Example 1. Figure 1 Specifically, the environmental condition data set includes at least: a real-time temperature value wd, a real-time humidity value sd, a real-time electromagnetic interference value dcz, and a real-time light intensity value qdz; The real-time temperature value wd is directly measured and obtained by installing a temperature sensor, and the real-time humidity value sd is directly measured and obtained by a humidity sensor; the real-time electromagnetic interference value dcz is directly measured and obtained by an electromagnetic induction sensor, and the real-time light intensity value qdz is acquired by collecting a photosensitive diode. Electromagnetic interference may have a negative impact on the operation of lithium battery chips, so monitoring electromagnetic interference helps to evaluate the performance of lithium batteries in real working environments. Changes in lighting conditions may affect the charging and discharging process of lithium batteries, so monitoring the light intensity value helps to fully understand the impact of the environment on the performance of lithium batteries.

[0027] In this embodiment, a variety of sensor technologies are used to obtain these environmental parameters, and the system can comprehensively consider the impact of different factors on the performance of lithium battery chips, thereby improving the accuracy and comprehensiveness of the test. Such a design is beneficial to ensure that the test results are more authentic and reliable, and provides more comprehensive data support for the performance evaluation of lithium battery chips.

[0028] Example 3: This example is an explanation of Example 1. Figure 1 Specifically, the battery status data set includes at least: battery capacity rl, initial charging state, number of charge and discharge cycles zqs, battery internal resistance nz and first initial temperature cswd; The battery capacity is measured and obtained by a battery tester. The initial charging state includes an initial current csdl and an initial voltage csdy, which are measured and obtained by a current sensor and a voltage sensor. The number of charge and discharge cycles zqs is used to collect the historical number of charge and discharge cycles of the target lithium battery through a counter. The battery internal resistance nz is measured and obtained by an internal resistance tester. The first initial temperature cswd is directly obtained by testing the battery surface with a temperature sensor.

[0029] In this embodiment, the battery status data set can reflect all aspects of the battery's initial state charge and discharge process, which helps to comprehensively evaluate the performance and health status of the lithium battery chip. By using a variety of test instruments and sensors, the system ensures accurate monitoring of the battery status and improves the reliability and comprehensiveness of the test.

[0030] Example 4: This example is an explanation of Example 1. Figure 1 Specifically, the connection point data set includes at least: a first resistance value dz1, a second resistance value dz2, a connection point wire vibration frequency value zdplz, an instantaneous voltage value ssdy and an instantaneous current value ssdl; At the connection point between the battery chip and the charging and discharging test equipment wire, as a monitoring point, the first resistance value dz1 is used to represent the resistance value of the initial state of the connection point between the battery chip and the charging and discharging test equipment wire, which is measured and obtained by a resistance measuring instrument; the second resistance value dz2 is used to represent the resistance value after a certain timestamp, which is measured and obtained by a resistance measuring instrument, and the connection point wire vibration frequency value zdplz is collected and obtained by a vibration sensor in the monitoring point; a smaller vibration frequency value may indicate that the wire vibration of the connection point is small and the connection is relatively stable. A high vibration frequency may be caused by the normal operation of the equipment, and does not necessarily indicate a connection point problem. The instantaneous voltage value ssdy and the instantaneous current value ssdl are measured and obtained by a current transformer and a voltage transformer.

[0031] In this embodiment, the first resistance value dz1 and the second resistance value dz2 are generally used to indicate the resistance of the wire connection. The first resistance value dz1 is the initial resistance value of the connection point, which reflects the initial resistance state of the connection point. A lower first resistance value generally indicates that the wire is in good contact and has a smaller resistance. The second resistance value dz2 represents the resistance value after a certain timestamp, which is used to monitor the resistance change of the connection point. A lower second resistance value also means that the resistance of the connection point is relatively small, which can be interpreted as good contact of the wire. The lower first and second resistance values ​​are generally considered to be an indication of good contact of the connection point wire. The reduction in these resistance values ​​may indicate that the stability of the connection point is higher, which is beneficial to the transmission of current and the performance of the connection.

[0032] Example 5: This example is an explanation of Example 1. Figure 1 Specifically, the real-time environmental coefficient SHj is obtained by extracting the real-time temperature value wd, the real-time humidity value sd, the real-time electromagnetic interference value dcz and the real-time light intensity value qdz from the environmental condition data set; after dimensionless processing, the real-time environmental coefficient SHj is generated by the following formula: ; in, , , ,and , , and is the weight, and its specific value is set by the user. It is the normal value of the first correction; The method for obtaining the initial state coefficient Cszt of the battery chip is as follows: extracting the battery capacity rl, initial current csdl, initial voltage csdy, number of charge and discharge cycles zqs, battery internal resistance nz and first initial temperature cswd from the battery state data set; after normalization, the initial state coefficient Cszt of the battery chip is calculated by the following formula: ; in, , , , ,and , , , and is the weight, whose specific value is set by the user or generated by analytical function fitting. It is the second normal value; The connection firmness coefficient Ljg is obtained by extracting the first resistance value dz1, the second resistance value dz2, the connection point wire vibration frequency value zdplz, the instantaneous voltage value ssdy and the instantaneous current value ssd of the connection point data set; after normalization, the connection firmness coefficient Ljg is calculated by the following formula: ; Where BZ represents the preset standard resistance value, BZ1 represents the preset standard vibration frequency value of the wire, and , , , , ,and , , , , and is the weight, and its specific value is set by the user. This is the normal value for the third revision.

[0033] In this embodiment, the real-time environmental coefficient SHj facilitates comprehensive evaluation of various aspects of the current lithium battery chip charging and discharging environment, including temperature, humidity, electromagnetic interference and light intensity, which helps to more fully understand the impact of the environment on battery performance.

[0034] The battery chip initial state coefficient Cszt takes into account multiple key parameters, such as battery capacity, initial current, initial voltage, number of charge and discharge cycles, battery internal resistance and initial temperature. Through normalization and weight adjustment, the impact of these parameters on battery performance can be comprehensively considered to make the evaluation more accurate.

[0035] The connection firmness coefficient Ljg comprehensively considers the stability of the connection point by taking into account factors such as the resistance of the wire, vibration frequency, instantaneous voltage and instantaneous current. This helps to find out whether the wire connection is good, which affects the charge and discharge performance.

[0036] The benefit of calculation is that through the calculated coefficients and parameters, the system can generate real-time early warning instructions to indicate whether the current environment is qualified, whether the battery chip connection is good, and whether the performance meets expectations. This helps to detect problems in time and take corresponding measures.

[0037] Example 6: This example is an explanation of Example 1. Figure 1 Specifically, the charging database includes the maximum current value zd1, the minimum current value zd2, the maximum voltage value zdy1, the minimum voltage value zdy2, the charging average voltage value pjdyz and the discharging average current value cddlz during the charging process; The discharge database includes the maximum current value zd3, the minimum current value zd4, the maximum voltage value zdy3, the minimum voltage value zdy4, the discharge average voltage value fddyz and the discharge average current value fddlz during the discharge process; this enables the system to comprehensively record the charge and discharge performance of the battery and provides a detailed data basis.

[0038] The cycle database includes the initial capacity csrl, the final cycle capacity mcxhrl and the number of cycles xhcs; by monitoring the changes in the initial and final cycle capacities and the increase in the number of cycles, the performance degradation of the battery after multiple cycles can be evaluated.

[0039] The heat dissipation database includes the maximum temperature wdzg, the minimum temperature zdwd and the average temperature pjwd. These data are helpful to analyze the heat dissipation performance of the battery during the charging and discharging process, determine the temperature fluctuation range, and evaluate the stability of the system under different temperature conditions.

[0040] Example 7: This example is an explanation of Example 1. Figure 1 Specifically, a lithium battery charging and discharging heat dissipation test model is established, and the charging database, discharging database, cycle database and heat dissipation database are simulated and analyzed, and the charging stability coefficient Cd, the discharging stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr are obtained by the following formula; ; In the formula, r1 and r2 are weight values, and their specific values ​​are adjusted and set by the user, and , ,and ; ; Where r3 and r4 are weight values, and their specific values ​​are adjusted and set by the user, and , ,and ; ; .

[0041] In this embodiment, the calculation of these coefficients provides a powerful tool for battery performance evaluation, stability analysis and optimal design, which helps to more deeply and comprehensively understand and grasp the battery's charging, discharging and heat dissipation performance.

[0042] Example 8: This example is an explanation of Example 1. Figure 1 Specifically, the first evaluation unit 71 is used to compare the real-time environment coefficient SHj with the preset environment threshold to obtain a first evaluation result, including: when the real-time environment coefficient SHj is greater than the preset environment threshold, it indicates that the current environment is unqualified and generates a first warning instruction; when the real-time environment coefficient SHj is less than or equal to the preset environment threshold, it indicates that the current environment is unqualified; The second evaluation unit 72 is used to compare the connection firmness coefficient Ljg with the preset firmness threshold to obtain a second evaluation result, including: when the connection firmness coefficient Ljg is less than the preset firmness threshold, it indicates that the current battery chip connection is unqualified and a second early warning instruction is generated; when the connection firmness coefficient Ljg is greater than or equal to the preset firmness threshold, it indicates that the current battery chip connection is qualified.

[0043] In this embodiment, the first evaluation unit 71 monitors and compares the real-time environmental coefficient SHj, and can evaluate in real time whether the working environment of the lithium battery chip meets the preset standard. This helps to take timely measures under unqualified environmental conditions to ensure the safety and stability of the battery operation. The second evaluation unit 72 evaluates the connection firmness coefficient Ljg, and can detect whether the connection status between the battery chip and the charging and discharging test equipment wire is qualified. This helps to avoid unstable performance or safety hazards caused by connection problems. When the evaluation result does not meet the preset threshold, the system generates a corresponding early warning instruction. This helps to promptly notify relevant personnel or systems to take measures, such as repairing environmental problems, adjusting connections, etc., to prevent potential problems from further expanding. The setting of the preset environmental threshold and the preset firmness threshold can be reasonably adjusted according to the specific application scenarios and requirements. This makes the system more flexible and suitable for different environments and usage conditions.

[0044] Example 9: This example is an explanation of Example 1. Figure 1 Specifically, the third evaluation unit 73 is used to generate a performance evaluation coefficient PG by using the following correlation formula to calculate the charging stability coefficient Cd, the discharging stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr: ; In the formula, , , , ,and , , , and is the weight, and its specific value is adjusted and set by the user; The performance evaluation coefficient PG is compared with a preset performance threshold. When the performance evaluation coefficient PG is less than the preset performance threshold, it indicates that the charging and discharging heat dissipation performance of the lithium battery is unqualified, and a third warning instruction is generated; When the performance evaluation coefficient PG is greater than or equal to the preset performance threshold, it indicates that the charging and discharging heat dissipation performance of the lithium battery is qualified.

[0045] In this embodiment, by comprehensively considering the stability coefficients of multiple aspects such as charging, discharging, cycling and heat dissipation, the performance evaluation coefficient PG provides a comprehensive evaluation of the charging, discharging and heat dissipation performance of the lithium battery chip. This helps to more accurately understand the performance of the battery in various aspects. The setting of the preset performance threshold allows the user to make reasonable adjustments according to the performance requirements of the specific application. When the performance evaluation coefficient PG is less than the preset performance threshold, the system generates a corresponding early warning instruction, which helps to promptly discover the situation of unqualified performance. The third evaluation unit 73 automatically determines whether the performance is qualified based on the comparison between the performance evaluation coefficient PG and the preset performance threshold, and generates a corresponding early warning instruction. This fully automatic mechanism reduces the need for manual intervention and improves the autonomy and efficiency of the system.

[0046] Example 10: This example is an explanation of Example 1. Figure 1 Specifically, the evaluation module 7 also includes a fourth evaluation unit 74, and the fourth evaluation unit 74 is used to compare the battery chip initial state coefficient Cszt with the preset state threshold. When the battery chip initial state coefficient Cszt is less than the preset state threshold, it indicates that the battery initial state is unqualified and a fourth early warning instruction is generated; when the battery chip initial state coefficient Cszt is greater than or equal to the preset state threshold, it indicates that the battery initial state is qualified.

[0047] According to the obtained first warning instruction, second warning instruction, third warning instruction and fourth warning instruction, corresponding adjustment strategies can be formulated to solve or alleviate the problems found in the system.

[0048] First Warning Directive - Environmental Failure: Generate strategies for adjusting the working environment: If the environment is found to be unqualified, adjust the test environment, such as changing the temperature, humidity, or reducing electromagnetic interference.

[0049] Remind system operators: Send notifications or alerts to remind system operators to take necessary environmental adjustment measures.

[0050] Second warning instruction - connection failure: Generate a strategy for repairing connection points: For loose connections, repair or replace the connection points to ensure a good connection between the battery chip and the test equipment.

[0051] Automatic connection repair after connection point maintenance: Implement an automatic connection repair mechanism that can automatically detect and repair connection problems, reducing manual intervention.

[0052] Third Warning Directive - Performance Failure: Adjust the charging and discharging parameter strategy: Based on the performance evaluation coefficient, adjust the parameters of the charging and discharging process to improve battery performance.

[0053] Conduct deeper analysis: Through detailed performance data analysis, find out the specific reasons that lead to unqualified performance and take corresponding technical measures to improve it.

[0054] Fourth Warning Instruction-Initial Status Failure: Replace unqualified batteries: Consider replacing unqualified batteries if the initial state fails to meet the requirements to ensure that the batteries used during the test are in good initial condition.

[0055] Regular calibration: Perform regular battery status calibration to ensure that the battery status data in the test system is accurate and reliable.

[0056] In this embodiment, in addition to considering the charging and discharging heat dissipation performance, an evaluation of the initial state of the battery chip is also added. This helps to fully understand the performance of the battery at different stages and improve the comprehensiveness and accuracy of the test. By comparing the initial state coefficient Cszt of the battery chip with the preset state threshold, the fourth evaluation unit 74 can detect whether the initial state of the battery chip is qualified as early as possible. When the initial state of the battery is unqualified, the system generates a corresponding early warning instruction to remind the user to perform necessary processing and adjustments. The automatic judgment mechanism of the fourth evaluation unit 74 enables the system to autonomously judge whether the initial state of the battery chip is qualified during the test without manual intervention. This improves the autonomy and efficiency of the system.

[0057] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A lithium battery chip charging and discharging heat dissipation performance test system, characterized by: It comprises an environmental monitoring module (1), a lithium battery status detection module (2), a connection firmness monitoring module (3), an analysis module (4), a charge and discharge test module (5), a three-dimensional heat dissipation simulation module (6) and an evaluation module (7); The environmental monitoring module (1) is used to collect current lithium battery chip charging and discharging environmental data and establish an environmental condition data set; The lithium battery status detection module (2) is used to monitor the initial status data of the target lithium battery and establish a battery status data set; The connection firmness monitoring module (3) is used to collect connection data between the battery chip and the lead of the charge and discharge test equipment, obtain connection point data, and establish a connection point data set; The analysis module (4) is used to calculate and analyze the environmental condition data set, the battery state data set and the connection point data set to obtain: the real-time environmental coefficient SHj, the connection firmness coefficient Ljg and the battery chip initial state coefficient Cszt; The charge and discharge test module (5) is used to electrically connect the lithium battery chip to the charge test equipment, the discharge test equipment, the cycle test equipment and the heat dissipation test equipment, collect and obtain the charge data, the discharge data, the cycle charge and discharge data and the heat dissipation data, establish the charge database, the discharge database, the cycle database and the heat dissipation database, and establish the lithium battery charge and discharge heat dissipation test model, simulate and calculate and analyze the charge database, the discharge database, the cycle database and the heat dissipation database, and obtain: the charge stability coefficient Cd, the discharge stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr; The evaluation module (7) comprises a first evaluation unit (71), a second evaluation unit (72) and a third evaluation unit (73), wherein the first evaluation unit (71) is used to compare the real-time environment coefficient SHj with a preset environment threshold value, and when the real-time environment coefficient SHj is greater than the preset environment threshold value, it indicates that the current environment is unqualified and a first warning instruction is generated; the second evaluation unit (72) is used to compare the connection firmness coefficient Ljg with the preset firmness threshold value, and when the connection firmness coefficient Ljg is less than the preset firmness threshold value, it indicates that the current battery chip connection is unqualified and a second warning instruction is generated; the third evaluation unit (73) is used to associate the charging stability coefficient Cd, the discharging stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr to obtain a performance evaluation coefficient PG; and compare the performance evaluation coefficient PG with the preset performance threshold value, and when the performance evaluation coefficient PG is less than the preset performance threshold value, it indicates that the lithium battery charging and discharging heat dissipation performance is unqualified and a third warning instruction is generated.

2. A lithium battery chip charging and discharging heat dissipation performance testing system according to claim 1, characterized in that: The environmental condition data set includes at least: a real-time temperature value wd, a real-time humidity value sd, a real-time electromagnetic interference value dcz and a real-time light intensity value qdz; The real-time temperature value wd is directly measured and obtained by installing a temperature sensor, and the real-time humidity value sd is directly measured and obtained by a humidity sensor; the real-time electromagnetic interference value dcz is directly measured and obtained by an electromagnetic induction sensor, and the real-time light intensity value qdz is collected and obtained by a photosensitive diode.

3. A lithium battery chip charging and discharging heat dissipation performance testing system according to claim 1, characterized in that: The battery status data set includes at least: battery capacity rl, initial charging state, number of charge and discharge cycles zqs, battery internal resistance nz and first initial temperature cswd; The battery capacity is measured and obtained by a battery tester. The initial charging state includes an initial current csdl and an initial voltage csdy, which are measured and obtained by a current sensor and a voltage sensor. The number of charge and discharge cycles zqs is used to collect the historical number of charge and discharge cycles of the target lithium battery through a counter. The battery internal resistance nz is measured and obtained by an internal resistance tester. The first initial temperature cswd is directly obtained by testing the battery surface with a temperature sensor.

4. A lithium battery chip charging and discharging heat dissipation performance testing system according to claim 1, characterized in that: The connection point data set includes at least: a first resistance value dz1, a second resistance value dz2, a connection point wire vibration frequency value zdplz, an instantaneous voltage value ssdy and an instantaneous current value ssdl; At the connection point between the battery chip and the charging and discharging test equipment wire, as a monitoring point, the first resistance value dz1 is used to represent the resistance value of the initial state of the connection point between the battery chip and the charging and discharging test equipment wire, and is obtained by measuring with a resistance meter; the second resistance value dz2 is used to represent the resistance value after a certain timestamp, and is obtained by measuring with a resistance meter, and the vibration frequency value zdplz of the connection point wire is obtained by collecting at the monitoring point through a vibration sensor; the instantaneous voltage value ssdy and the instantaneous current value ssdl are obtained by measuring with a current transformer and a voltage transformer.

5. A lithium battery chip charging and discharging heat dissipation performance testing system according to claim 1, characterized in that: The real-time environmental coefficient SHj is obtained by extracting the real-time temperature value wd, the real-time humidity value sd, the real-time electromagnetic interference value dcz and the real-time light intensity value qdz from the environmental condition data set; after dimensionless processing, the real-time environmental coefficient SHj is generated by the following formula: ; in, , , ,and , , and is the weight, and its specific value is set by the user. It is the normal value of the first correction; The method for obtaining the initial state coefficient Cszt of the battery chip is as follows: extracting the battery capacity rl, initial current csdl, initial voltage csdy, number of charge and discharge cycles zqs, battery internal resistance nz and first initial temperature cswd from the battery state data set; after normalization, the initial state coefficient Cszt of the battery chip is calculated by the following formula: ; in, , , , ,and , , , and is the weight, whose specific value is set by the user or generated by analytical function fitting. It is the second normal value; The connection firmness coefficient Ljg is obtained by extracting the first resistance value dz1, the second resistance value dz2, the connection point wire vibration frequency value zdplz, the instantaneous voltage value ssdy and the instantaneous current value ssd of the connection point data set; after normalization, the connection firmness coefficient Ljg is calculated by the following formula: ; Where BZ represents the preset standard resistance value, BZ1 represents the preset standard vibration frequency value of the wire, and , , , , ,and , , , , and is the weight, and its specific value is set by the user. This is the normal value for the third revision.

6. A lithium battery chip charging and discharging heat dissipation performance testing system according to claim 1, characterized in that: The charging database includes the maximum current value zd1, the minimum current value zd2, the maximum voltage value zdy1, the minimum voltage value zdy2, the charging average voltage value pjdyz and the discharging average current value cddlz during the charging process; The discharge database includes a maximum current value zd3, a minimum current value zd4, a maximum voltage value zdy3, a minimum voltage value zdy4, a discharge average voltage value fddyz and a discharge average current value fddlz during the discharge process; The cycle database includes an initial capacity csrl, a final cycle capacity mcxhrl and a cycle number xhcs; The heat dissipation database includes a maximum temperature wdzg, a minimum temperature zdwd and an average temperature pjwd.

7. A lithium battery chip charging and discharging heat dissipation performance testing system according to claim 6, characterized in that: Establish a lithium battery charging and discharging heat dissipation performance test model, simulate and analyze the charging database, discharging database, cycle database and heat dissipation database, and generate the charging stability coefficient Cd, discharge stability coefficient Fd, cycle performance stability coefficient Xh and heat dissipation stability coefficient Sr through the following formula; ; In the formula, r1 and r2 are weight values, and their specific values ​​are adjusted and set by the user, and , ,and ; ; Where r3 and r4 are weight values, and their specific values ​​are adjusted and set by the user, and , ,and ; ; 。 8. A lithium battery chip charging and discharging heat dissipation performance testing system according to claim 1, characterized in that: The first evaluation unit (71) is used to compare the real-time environment coefficient SHj with a preset environment threshold to obtain a first evaluation result, including: when the real-time environment coefficient SHj is greater than the preset environment threshold, it indicates that the current environment is unqualified and a first warning instruction is generated; when the real-time environment coefficient SHj is less than or equal to the preset environment threshold, it indicates that the current environment is unqualified; The second evaluation unit (72) is used to compare the connection firmness coefficient Ljg with a preset firmness threshold to obtain a second evaluation result, including: when the connection firmness coefficient Ljg is less than the preset firmness threshold, it indicates that the current battery chip connection is unqualified and a second warning instruction is generated; when the connection firmness coefficient Ljg is greater than or equal to the preset firmness threshold, it indicates that the current battery chip connection is qualified.

9. A lithium battery chip charging and discharging heat dissipation performance testing system according to claim 1, characterized in that: The third evaluation unit (73) is used to generate a performance evaluation coefficient PG by using the following correlation formula to calculate the charging stability coefficient Cd, the discharging stability coefficient Fd, the cycle performance stability coefficient Xh and the heat dissipation stability coefficient Sr: ; In the formula, , , , ,and , , , and is the weight, and its specific value is adjusted and set by the user; The performance evaluation coefficient PG is compared with a preset performance threshold. When the performance evaluation coefficient PG is less than the preset performance threshold, it indicates that the charging and discharging heat dissipation performance of the lithium battery is unqualified, and a third warning instruction is generated; When the performance evaluation coefficient PG is greater than or equal to the preset performance threshold, it indicates that the charging and discharging heat dissipation performance of the lithium battery is qualified.

10. A lithium battery chip charging and discharging heat dissipation performance testing system according to claim 9, characterized in that: The evaluation module (7) further comprises a fourth evaluation unit (74), wherein the fourth evaluation unit (74) is used to compare the battery chip initial state coefficient Cszt with a preset state threshold value; when the battery chip initial state coefficient Cszt is less than the preset state threshold value, it indicates that the battery initial state is unqualified and a fourth warning instruction is generated; when the battery chip initial state coefficient Cszt is greater than or equal to the preset state threshold value, it indicates that the battery initial state is qualified.

Citation Information

Patent Citations

  • Intelligent battery, electricity transfer bus system and balanced charging and discharging method

    CN104617633A

  • Method for critical failure detection of battery

    CN108594139A

  • Efficient battery dynamic monitoring management system

    CN109818090A

  • Testing system for electrical connection in battery system

    CN113495227A

  • Storage battery health management system based on CPS architecture

    CN116011993A

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