Stability test system for series battery charging

Abstract

The invention discloses a stability test system for series battery charging, relates to the technical field of battery charging test, solves the technical problem that in the prior art, thermal behavior analysis cannot be carried out on the battery charging process, and whether the real-time charging thermal behavior in the current battery charging stage is affected or not cannot be inferred, and particularly relates to a charging thermal behavior test unit. The analysis module is used for performing thermal behavior analysis on the battery charging process, setting a battery heat floating range, marking the battery heat floating range as a heat floating range threshold interval of each moment, and obtaining a current heat floating trend according to a moment sequence; circulating thermal behavior information and capacity thermal behavior information are collected, and whether thermal behaviors are affected or not is deduced according to information comparison; and the battery polarization analysis unit is used for performing polarization analysis on the battery charging process, setting a charging rate threshold value, dividing a real-time charging rate into a high rate and a low rate according to the charging rate threshold value, collecting low-rate polarization data and high-rate polarization data, and analyzing and deducing a polarization risk according to the data.

Description

Technical Field

[0001] The invention relates to the technical field of battery charging test, in particular to a stability test system for charging series batteries. Background Art

[0002] The battery charging stability test is mainly to evaluate whether the battery performance is stable during the charging process; this includes monitoring the changes in battery parameters such as voltage, current, and temperature to ensure that the battery does not experience abnormal phenomena such as overcharging and overheating during charging, thereby ensuring the battery's safety, service life, and performance.

[0003] However, in the prior art, it is impossible to perform thermal behavior analysis on the battery charging process, infer whether there is an impact on the real-time charging thermal behavior in the current battery charging stage, and accurately detect the charging stability. Secondly, it is impossible to infer the polarization impact during the charging process through polarization analysis, and it is impossible to intervene in time.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problem and to provide a stability testing system for charging series batteries.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A stability test system for charging a series battery includes a battery test platform, wherein the battery test platform is communicatively connected to: The battery performance test unit is used to perform performance tests on the battery, analyze the battery processing process, determine the test correction coefficient, collect battery performance information, and substitute the battery performance test coefficient into the formula to obtain the battery performance test coefficient. If the battery performance test coefficient exceeds the test coefficient threshold, it is inferred that the battery performance is abnormal, otherwise, it is inferred that the battery performance is normal; The charging thermal behavior test unit is used to analyze the thermal behavior of the battery charging process, set the battery thermal fluctuation range, and mark it as the thermal fluctuation range threshold interval at each moment, and obtain the current thermal fluctuation trend according to the time sequence; collect cycle thermal behavior information and capacity thermal behavior information, and infer whether there is an impact on thermal behavior based on information comparison; The battery polarization analysis unit is used to perform polarization analysis on the battery charging process, set the charging rate threshold, and divide the real-time charging rate into high rate and low rate according to the charging rate threshold, collect low-rate polarization data and high-rate polarization data, and infer the polarization risk based on data analysis; The charging status analysis unit is used to analyze the battery charging status in real time, collect charging parameter information and charging reserve information, and infer whether the charging status is qualified through analysis.

[0007] As a preferred embodiment of the present invention, the test correction coefficient determination process is as follows: Conduct traceability monitoring on the battery processing process, and record the pass rate of the current batch of battery sampling inspection after processing is completed, and set the pass rate as the test correction factor. If the current pass rate exceeds the set threshold, the test correction factor is 0.9. Otherwise, if the current pass rate does not exceed the set threshold, the test correction factor is 1.3.

[0008] As a preferred embodiment of the present invention, the battery performance information includes the span numerical ratio KDV of the continuous increase span of the discharge capacity ratio and the continuous decrease span of the charging capacity ratio, the voltage excess YDC corresponding to the termination voltage of any sub-battery inside the battery, and the speed numerical ratio SDV corresponding to the speed increase rate of the insulating lead sulfate crystal adsorption on the plate surface and the battery capacity decrease rate.

[0009] As a preferred embodiment of the present invention, the formula is: , where fqee1, fqee2 and fqee3 are preset proportional coefficients, e is a natural constant, and β is a test correction coefficient.

[0010] As a preferred embodiment of the present invention, the cyclic thermal behavior information and the capacity thermal behavior information are respectively the lead time of the inflection point of the heat rising trend and the delay time of the peak point of the heat falling trend corresponding to the cumulative time, and the decrease speed corresponding to the interval heat value between the internally released heat and the nearest critical value of the current heat floating range threshold interval.

[0011] As a preferred embodiment of the present invention, if the cyclic thermal behavior information exceeds the cumulative time threshold, or the capacity thermal behavior information exceeds the decline rate threshold, a thermal behavior impact signal is generated; if the cyclic thermal behavior information does not exceed the cumulative time threshold, and the capacity thermal behavior information does not exceed the decline rate threshold, a thermal behavior normal signal is generated.

[0012] As a preferred embodiment of the present invention, the low-rate polarization data and the high-rate polarization data are respectively the numerical ratio of the span of the decrease in the oxygen absorption rate inside the battery to the span of the increase in the internal pressure of the battery, and the numerical ratio of the reduction in the area of ​​the positive plate in the battery to the number of moments when the internal resistance of the battery does not increase.

[0013] As a preferred embodiment of the present invention, if the low-rate polarization data exceeds the span value ratio threshold, or the high-rate polarization data exceeds the area quantity ratio threshold, a high-risk polarization signal is generated; if the low-rate polarization data does not exceed the span value ratio threshold, and the high-rate polarization data does not exceed the area quantity ratio threshold, a low-risk polarization signal is generated.

[0014] As a preferred embodiment of the present invention, the charging parameter information is the increase in the frequency of generation of charging instantaneous electrical parameters corresponding to the moment of electrical parameter floating during the battery charging stage, and the duration of constant temperature of the battery after the corresponding instantaneous electrical parameters are generated; the charging reserve information is the deviation value of the span of power increase corresponding to the same charging moment stage in adjacent charging cycles.

[0015] As a preferred embodiment of the present invention, if the generated frequency increase exceeds the frequency increase threshold and the internal temperature constant time is within a normal range, a supply-side control signal is generated; If the frequency increase exceeds the frequency increase threshold and the internal temperature constant time is not within the normal range, a charging synchronization signal is generated; if the frequency increase does not exceed the frequency increase threshold and the internal temperature constant time is not within the normal range, it is inferred that the internal temperature rise of the rechargeable battery is abnormal, and the charging thermal behavior test unit continues to monitor the current battery charging process; If the charging reserve information exceeds the deviation value threshold, it is inferred that the current charging state is abnormal; If the frequency increase does not exceed the frequency increase threshold, and the internal temperature constant time is within the normal range, and the charging reserve information does not exceed the deviation value threshold, it is inferred that the current charging status is normal.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the battery is tested for performance to infer whether the current battery performance test is normal, so as to avoid defects in the battery performance itself that may cause abnormal charging stability, and indirectly cause charging accidents and battery hardware loss. At the same time, the battery performance test can be used to make reasonable battery operation decisions and reasonably plan charging and discharging to ensure the rationality of battery operation, meet power supply requirements, reduce battery wear and tear, and improve battery operation efficiency. Conduct thermal behavior analysis on the battery charging process to infer whether there is an impact in the real-time charging thermal behavior during the current battery charging stage, so as to detect the charging stability through changes in thermal behavior. The charging thermal behavior is represented by the heat state during the charging process. This is used to conduct impact analysis to infer the eligibility of the current battery charging, ensure the stability of the thermal behavior, and improve the battery charging efficiency.

[0017] 2. In the present invention, polarization analysis is performed on the battery charging process to infer whether the current battery polarization effect can be controlled, so as to intervene in time when the battery polarization effect is too high, so as to avoid the impact of battery polarization causing the battery charging efficiency to decrease and the battery life to be affected. Polarization detection can better protect the battery, improve the timeliness of avoiding battery charging effects, and minimize the impact of charging while meeting the charging efficiency; Real-time analysis of the battery charging status can be performed to infer whether the current battery charging status is abnormal, thereby inferring that the current charging has caused battery loss or changed battery parameters, so as to facilitate timely maintenance and control, reduce battery wear caused by charging, thereby increasing the battery life and ensuring charging efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0019] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0021] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] See also Figure 1 As shown, a stability test system for charging of series-connected batteries includes a battery test platform, which is communicatively connected to a battery performance test unit, a charging thermal behavior test unit, a battery polarization analysis unit, and a charging state analysis unit; the system performs stability test on charging of series-connected batteries to ensure charging efficiency and safety of the series-connected batteries, and the series-connected batteries are referred to as batteries in the following content; The battery test platform generates a battery performance test signal and sends the battery performance test signal to the battery performance test unit. After receiving the battery performance test signal, the battery performance test unit performs a performance test on the battery to infer whether the current battery performance test is normal, so as to avoid defects in the battery performance itself that may cause abnormal charging stability, and indirectly cause charging accidents and battery hardware loss. At the same time, the battery performance test can make reasonable battery operation decisions and make reasonable plans for charging and discharging to ensure the rationality of battery operation, meet power supply needs, reduce battery wear and tear, and improve battery operation efficiency. The entire battery processing process is obtained, and the plate material alloy, electrolyte concentration, assembly process, sealing procedure and other processes are traced and monitored during the processing. The qualified rate of the current batch of battery sampling inspection after the processing is completed is recorded, and the qualified rate is set as the test correction coefficient. If the current qualified rate exceeds the set threshold, the test correction coefficient is 0.9. Conversely, if the current qualified rate does not exceed the set threshold, the test correction coefficient is 1.3. Among them, common abnormalities in sampling inspection are battery leakage, plate breakage, battery open circuit, etc. The span value ratio of the continuous increase span of the discharge capacity ratio and the continuous decrease span of the charge capacity ratio during the AC power outage frequency increase phase of the battery is collected, and the span value ratio of the continuous increase span of the discharge capacity ratio and the continuous decrease span of the charge capacity ratio during the AC power outage frequency increase phase of the battery is marked as KDV; The excess voltage between the real-time output voltage of the battery and the termination voltage of any sub-battery in the battery when the battery is in a low-power discharge state is obtained, and the excess voltage between the real-time output voltage of the battery and the termination voltage of any sub-battery in the battery when the battery is in a low-power discharge state is marked as YDC, where the low-power discharge state indicates that the real-time storage power of the battery is lower than the set red line margin when discharging; The numerical ratio of the increasing speed of the adsorption amount of insulating lead sulfate crystals on the plate surface to the decreasing speed of the battery capacity is obtained when the duration of the battery power-deficient discharge state increases, and the numerical ratio of the increasing speed of the adsorption amount of insulating lead sulfate crystals on the plate surface to the decreasing speed of the battery capacity is marked as SDV, wherein the numerical ratio corresponds to the numerical floating of the two data for collection, without considering the influence of inconsistent units; The above collected data are uniformly marked as battery performance information, and substituted into the formula to obtain the battery performance test coefficient. The formula is: , where fqee1, fqee2 and fqee3 are preset proportional coefficients, e is a natural constant, and β is a test correction coefficient; Compare the battery performance test factor to the test factor threshold: If the battery performance test coefficient exceeds the test coefficient threshold, it is inferred that the battery performance is abnormal, and a return-to-factory rectification signal is generated and sent to the battery test platform. After receiving the return-to-factory rectification signal, the battery test platform returns the current battery to the factory for inspection and rectification; If the battery performance test coefficient does not exceed the test coefficient threshold, it is inferred that the battery performance is normal, a normal use signal is generated and the normal use signal is sent to the battery test platform; At the same time, a charging thermal behavior test signal is generated and sent to a charging thermal behavior test unit. After receiving the charging thermal behavior test signal, the charging thermal behavior test unit performs thermal behavior analysis on the battery charging process to infer whether there is any impact of the real-time charging thermal behavior in the current battery charging stage. The charging stability can be detected by the change of thermal behavior, wherein the charging thermal behavior is represented by the heat state during the charging process, and the impact analysis is used to infer the eligibility of the current battery charging, thereby ensuring the stability of the thermal behavior and improving the battery charging efficiency. The floating range of the battery heat fluctuation is set according to the internal heat generation reaction when the battery is charged, and marked as the heat fluctuation range threshold interval at each moment, and the current heat fluctuation trend is inferred according to the time sequence; When the rate of increase of the number of battery cycle charging times exceeds the set rate threshold, the advance time of the inflection point of the heat rising trend corresponding to the real-time heat floating trend in any charging cycle of the battery and the delay time corresponding to the peak time of the heat falling trend are obtained, wherein the trend inflection point moment is represented as the moment when the heat floating trend shows an upward trend and the slope exceeds the slope threshold, and the peak point moment is represented as the moment when the heat in the heat floating trend is at a peak value or the temperature rise rate is at a peak value; and the advance time of the inflection point of the heat rising trend corresponding to the real-time heat floating trend in any charging cycle of the battery and the delay time corresponding to the peak time of the heat falling trend The cumulative time is marked as cyclic thermal behavior information; At the same time, the corresponding decrease speed of the interval heat value between the internally released heat and the nearest critical value of the current heat floating range threshold interval during the battery actual capacity ratio decrease phase during the battery charging cycle is obtained, and the corresponding decrease speed of the interval heat value between the internally released heat and the nearest critical value of the current heat floating range threshold interval during the battery actual capacity ratio decrease phase during the battery charging cycle is marked as capacity thermal behavior information; The real-time heat fluctuation trend in any battery charging cycle corresponds to the advance time of the turning point of the heat rising trend and the delay time of the peak of the heat falling trend, which corresponds to the cumulative time, and the decrease speed of the interval heat value between the internally released heat and the nearest critical value of the current heat fluctuation range threshold interval in the battery actual capacity ratio decrease phase during the battery charging cycle are compared with the cumulative time threshold and the decrease speed threshold respectively: If the real-time heat floating trend in any charging cycle of the battery corresponds to the advance time of the turning point of the heat rising trend and the delay time of the peak time of the heat falling trend, the corresponding cumulative time exceeds the cumulative time threshold, or the actual capacity of the battery in the battery charging cycle is greater than the internal heat released in the decreasing stage and the interval heat value of the nearest critical value of the current heat floating range threshold interval. The corresponding decline rate exceeds the decline rate threshold, it is inferred that the thermal behavior of the current battery is affected, and a thermal behavior impact signal is generated and sent to the battery testing platform. After receiving the thermal behavior impact signal, the battery testing platform adjusts the corresponding performance parameters of the battery and controls the charging impact, wherein the performance parameters are expressed as battery capacity and the number of charging cycles. In this application, two parameters are taken as examples. In actual use scenarios, the battery has other performance parameters, such as positive and negative electrode material performance, open circuit voltage, etc. When collecting other performance parameters, the corresponding parameters are selected to run the data processing process of the current system, which is also suitable; If the real-time heat fluctuation trend in any battery charging cycle corresponds to the advance time of the turning point of the heat rising trend and the delay time of the peak point of the heat falling trend, which corresponds to the cumulative time, does not exceed the cumulative time threshold, and the actual capacity of the battery in the battery charging cycle corresponds to the interval heat value of the internal heat released in the decreasing stage and the nearest critical value of the current heat fluctuation range threshold interval, which does not exceed the decreasing speed threshold, it is inferred that there is no impact on the thermal behavior of the current battery, and a normal thermal behavior signal is generated and sent to the battery testing platform; At the same time, a battery polarization analysis signal is generated and sent to a battery polarization analysis unit. After receiving the battery polarization analysis signal, the battery polarization analysis unit performs polarization analysis on the battery charging process to infer whether the current battery polarization influence can be controlled, so as to intervene in time when the battery polarization influence is too high, so as to avoid the influence of battery polarization causing the battery charging efficiency to decrease and the battery life to be affected. Polarization detection can better protect the battery, improve the timeliness of avoiding battery charging influence, and minimize the influence of charging while meeting the charging efficiency; The charging rate threshold is set, and the real-time charging rate is divided into high rate and low rate according to the charging rate threshold. The span numerical ratio of the decrease span of the oxygen absorption rate inside the battery and the increase span of the internal pressure of the battery in the low-rate charging stage is collected. At the same time, the corresponding numerical ratio of the reduction value of the positive plate area in the battery and the number of moments when the battery internal resistance does not increase when the charging voltage is higher than the open circuit voltage and the charging voltage continues to increase in the high-rate charging stage is obtained. The numerical ratio of this scheme analyzes the impact of the floating amount of the two data without considering the impact of inconsistent units; and the corresponding span numerical ratio of the decrease span of the oxygen absorption rate inside the battery and the increase span of the internal pressure of the battery in the low-rate charging stage, and the corresponding numerical ratio of the reduction value of the positive plate area in the battery and the number of moments when the battery internal resistance does not increase when the charging voltage is higher than the open circuit voltage and the charging voltage continues to increase in the high-rate charging stage are marked as low-rate polarization data and high-rate polarization data, respectively, and compared with the span numerical ratio threshold and the area quantity ratio threshold, respectively: If the span value ratio of the decrease span of the oxygen absorption rate released inside the battery and the span value ratio of the corresponding span value ratio of the pressure increase inside the battery during the low-rate charging stage exceeds the span value ratio threshold, or when the charging voltage is higher than the open-circuit voltage and the charging voltage continues to increase during the high-rate charging stage, the corresponding value ratio of the reduction value of the positive plate area in the battery and the number of moments when the internal resistance of the battery does not increase exceeds the area value ratio threshold, it is inferred that the polarization risk of the battery during the charging stage is high, and a high-risk polarization signal is generated and sent to the battery testing platform. After receiving the high-risk polarization signal, the battery testing platform controls the real-time charging rate of the battery and controls it to low-rate charging, and monitors the real-time gas absorption and temperature control inside the battery in real time; If the span value ratio of the decrease span of the oxygen absorption rate released inside the battery to the span value ratio of the increase span of the internal pressure of the battery during the low-rate charging stage does not exceed the span value ratio threshold, and when the charging voltage is higher than the open-circuit voltage and the charging voltage continues to increase during the high-rate charging stage, the corresponding value ratio of the reduction value of the positive plate area in the battery to the number of moments when the internal resistance of the battery does not increase does not exceed the area value ratio threshold, it is inferred that the polarization risk of the battery during the charging stage is low, a low-risk polarization signal is generated, and the low-risk polarization signal is sent to the battery testing platform; At the same time, a charging state analysis signal is generated and sent to a charging state analysis unit. After receiving the charging state analysis signal, the charging state analysis unit performs real-time analysis on the battery charging state, infers whether the current battery charging state is abnormal, and thus infers that the current charging has caused battery loss or changed battery parameters, so as to facilitate timely maintenance control and reduce battery wear caused by charging, so as to increase the battery life and ensure charging efficiency; The real-time charging voltage and charging current are uniformly marked as electrical parameters, and the increase in the generation frequency of the charging instantaneous electrical parameters corresponding to the electrical parameter floating moment during the battery charging stage, as well as the constant temperature duration of the battery after the corresponding instantaneous electrical parameters are generated, are collected, and the increase in the generation frequency of the charging instantaneous electrical parameters corresponding to the electrical parameter floating moment during the battery charging stage, as well as the constant temperature duration of the battery after the corresponding instantaneous electrical parameters are generated, are marked as charging parameter information; Obtaining a power increase span deviation value of adjacent charging cycles corresponding to the same charging time stage when the power parameters are constantly supplied during the battery charging stage, and marking the power increase span deviation value of adjacent charging cycles corresponding to the same charging time stage when the power parameters are constantly supplied during the battery charging stage as charging reserve information; And analyze the charging parameter information and charging reserve information: If the increase in the generation frequency of the instantaneous electrical parameters in the charging parameter information exceeds the frequency increase threshold, and the constant temperature time of the battery after the instantaneous electrical parameters are generated is within the normal range, it is inferred that there is supply fluctuation at the external charging supply end and no impact is generated, and a supply end regulation signal is generated and sent to the battery test platform. After receiving the supply end regulation signal, the battery test platform performs stability detection on the power grid at the real-time battery charging end; If the increase in the generation frequency of the instantaneous electrical parameters in the charging parameter information exceeds the frequency increase threshold, and the constant temperature time of the battery after the instantaneous electrical parameters are generated is not within the normal range, it is inferred that there is supply fluctuation at the external charging supply end and it has an impact, and a charging synchronization signal is generated and sent to the battery test platform. After the battery test platform receives the charging synchronization signal, it synchronously regulates the charging battery and the charging supply end, and synchronously monitors the reception of the electrical parameters while adjusting the supply of the electrical parameters; If the increase in the generation frequency of the charging instantaneous electrical parameters in the charging parameter information does not exceed the frequency increase threshold, and the constant temperature time of the battery after the instantaneous electrical parameters are generated is not within the normal range, it is inferred that the internal temperature rise of the rechargeable battery is abnormal, and the charging thermal behavior test unit continues to monitor the current battery charging process; If the charge reserve information exceeds the deviation value threshold, it is inferred that the current charge state is abnormal, a battery receptivity adjustment signal is generated and sent to the battery test platform. After receiving the battery receptivity adjustment signal, the battery test platform detects the current battery capacity and the charge refillability of the capacity and replaces internal components to ensure that the battery capacity meets the actual charging requirements; If the increase in the generation frequency of the instantaneous electrical parameters in the charging parameter information does not exceed the frequency increase threshold, and the constant temperature time of the battery after the instantaneous electrical parameters are generated is within the normal range, and the charging reserve information does not exceed the deviation value threshold, it is inferred that the current charging state is normal, a battery state normal signal is generated, and a battery receptivity adjustment signal is sent to the battery test platform; The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions; When the present invention is in use, the battery performance test unit performs a performance test on the battery, analyzes the battery processing process, determines the test correction coefficient, collects battery performance information, and substitutes it into the formula to obtain the battery performance test coefficient. If the battery performance test coefficient exceeds the test coefficient threshold, it is inferred that the performance of the battery is abnormal, otherwise, it is inferred that the performance of the battery is normal; the charging thermal behavior test unit collects cycle thermal behavior information and capacity thermal behavior information, and infers whether the thermal behavior has an impact based on information comparison; the battery polarization analysis unit performs polarization analysis on the battery charging process, collects low-rate polarization data and high-rate polarization data, and infers polarization risks based on data analysis; the charging state analysis unit performs real-time analysis on the battery charging state, collects charging parameter information and charging reserve information, and infers whether the charging state is qualified through analysis.

[0023] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A stability test system for charging a series battery, characterized in that: Including battery test platform, the communication connections of the battery test platform are: The battery performance test unit is used to perform performance tests on the battery, analyze the battery processing process, determine the test correction coefficient, collect battery performance information, and substitute the battery performance test coefficient into the formula to obtain the battery performance test coefficient. If the battery performance test coefficient exceeds the test coefficient threshold, it is inferred that the battery performance is abnormal, otherwise, it is inferred that the battery performance is normal; Charging thermal behavior test unit, used to analyze the thermal behavior of the battery charging process, set the battery thermal fluctuation range, and mark it as the thermal fluctuation range threshold interval at each moment, and obtain the current thermal fluctuation trend according to the time sequence; Collect cycle thermal behavior information and capacity thermal behavior information, and infer whether there is an impact on thermal behavior based on information comparison; The battery polarization analysis unit is used to perform polarization analysis on the battery charging process, set the charging rate threshold, and divide the real-time charging rate into high rate and low rate according to the charging rate threshold, collect low-rate polarization data and high-rate polarization data, and infer the polarization risk based on data analysis; The charging status analysis unit is used to analyze the battery charging status in real time, collect charging parameter information and charging reserve information, and infer whether the charging status is qualified through analysis.

2. A stability test system for charging a series battery according to claim 1, characterized in that: The test correction factor determination process is as follows: Conduct traceability monitoring on the battery processing process, and record the pass rate of the current batch of battery sampling inspection after processing is completed, and set the pass rate as the test correction factor. If the current pass rate exceeds the set threshold, the test correction factor is 0.

9. Otherwise, if the current pass rate does not exceed the set threshold, the test correction factor is 1.

3.

3. A stability test system for charging a series battery according to claim 2, characterized in that: The battery performance information includes the span ratio KDV of the continuous increase span of the discharge capacity ratio and the continuous decrease span of the charging capacity ratio, the voltage excess YDC corresponding to the real-time output voltage of the battery and the termination voltage of any sub-battery inside the battery, and the speed ratio SDV of the increase rate of the adsorption of insulating lead sulfate crystals on the plate surface and the speed of battery capacity decrease.

4. A stability test system for charging a series battery according to claim 3, characterized in that: The formula is: , where fqee1, fqee2 and fqee3 are preset proportional coefficients, e is a natural constant, and β is a test correction coefficient.

5. A stability test system for charging series batteries according to claim 1, characterized in that: The cyclic thermal behavior information and capacity thermal behavior information are respectively the lead time of the inflection point of the heat rising trend and the delay time of the peak point of the heat falling trend corresponding to the cumulative time, and the corresponding decline speed of the interval heat value between the internal released heat and the nearest critical value of the current heat floating range threshold interval.

6. A stability test system for charging series batteries according to claim 5, characterized in that: If the cycle thermal behavior information exceeds the cumulative duration threshold, or the capacity thermal behavior information exceeds the decline rate threshold, a thermal behavior impact signal is generated; If the cycle thermal behavior information does not exceed the cumulative duration threshold, and the capacity thermal behavior information does not exceed the drop rate threshold, a thermal behavior normal signal is generated.

7. A stability test system for charging series batteries according to claim 1, characterized in that: The low-rate polarization data and high-rate polarization data are respectively the numerical ratio of the span of the decrease in the oxygen absorption rate inside the battery to the span of the increase in the internal pressure of the battery, and the numerical ratio of the reduction in the area of ​​the positive plate in the battery to the number of moments when the internal resistance of the battery does not increase.

8. A stability test system for charging series batteries according to claim 7, characterized in that: If the low-rate polarization data exceeds the span value ratio threshold, or the high-rate polarization data exceeds the area number ratio threshold, a high-risk polarization signal is generated; if the low-rate polarization data does not exceed the span value ratio threshold, and the high-rate polarization data does not exceed the area number ratio threshold, a low-risk polarization signal is generated.

9. A stability test system for charging series batteries according to claim 1, characterized in that: The charging parameter information is the increase in the frequency of the charging instantaneous electrical parameters corresponding to the moment of electrical parameter floating during the battery charging stage, and the duration of constant temperature inside the battery after the corresponding instantaneous electrical parameters are generated; the charging reserve information is the deviation value of the power increase span corresponding to the same charging moment stage in adjacent charging cycles.

10. A stability testing system for charging series batteries according to claim 9, characterized in that: If the generated frequency increase exceeds the frequency increase threshold and the internal temperature constant time is within the normal range, a supply-side regulation signal is generated; If the frequency increase exceeds the frequency increase threshold and the internal temperature constant time is not within the normal range, a charging synchronization signal is generated; if the frequency increase does not exceed the frequency increase threshold and the internal temperature constant time is not within the normal range, it is inferred that the internal temperature rise of the rechargeable battery is abnormal, and the charging thermal behavior test unit continues to monitor the current battery charging process; If the charging reserve information exceeds the deviation value threshold, it is inferred that the current charging state is abnormal; If the frequency increase does not exceed the frequency increase threshold, and the internal temperature constant time is within the normal range, and the charging reserve information does not exceed the deviation value threshold, it is inferred that the current charging status is normal.

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