Lead-acid storage battery sample battery selection method and system

Abstract

The invention discloses a method for selecting sample batteries of lead-acid storage batteries. The method comprises the following steps: acquiring production information; establishing a quality influence factor model according to the obtained production information; determining a sampling rule according to the acquired production information; primarily screening the produced batteries; secondary screening is carried out on the batteries qualified in preliminary screening; determining samples according to qualified batteries after secondary screening; according to the method, the comprehensive production information is acquired, the quality influence factor model is established, the influence of each factor on the battery quality in the production process is fully considered, and the stratified sampling rule is combined for sample extraction, so that the quality condition of the whole batch of batteries can be reflected more accurately, and the scientificity of sample selection is improved; in addition, a mode of combining primary screening and secondary screening is adopted, appearance and basic performance inspection is carried out on the battery, deep performance detection is carried out, potential quality problems of the battery are comprehensively checked, the comprehensiveness and accuracy of quality detection are improved, and the product quality of the lead-acid storage battery is effectively guaranteed.

Description

Technical Field

[0001] This invention belongs to the field of lead-acid battery testing technology, and more specifically, relates to a method and system for selecting lead-acid battery samples. Background Technology

[0002] Lead-acid batteries are widely used in many fields due to their low cost and mature technology. In the production process of lead-acid batteries, the selection and testing of sample batteries is a crucial step in ensuring product quality. Traditional methods for selecting lead-acid battery samples often involve manually randomly selecting a certain number of batteries and then performing simple visual inspections and basic performance tests, such as voltage measurements.

[0003] However, this method has many problems: on the one hand, manual random sampling lacks scientific rigor and cannot guarantee that the selected samples can comprehensively and accurately reflect the quality of the entire batch of batteries. If the sampled products are too concentrated in a certain production period or produced by a certain production equipment, the test results will be biased and cannot truly reflect the performance level of the entire batch of products. On the other hand, relying solely on simple visual inspections and basic tests such as voltage measurements is insufficient to detect potential quality problems in the batteries, such as the degree of corrosion of the internal plates and the uniformity of electrolyte distribution. These problems will gradually emerge during subsequent use, affecting the battery's lifespan and performance stability, leading to product quality issues and customer complaints. Therefore, a method and system for selecting lead-acid battery samples is needed to improve the accuracy and reliability of sample selection and ensure the product quality of lead-acid batteries. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of existing technologies, such as the lack of scientific rigor in manual random sampling and the difficulty in detecting potential quality problems in batteries by relying solely on basic tests such as simple visual inspection and voltage measurement. Therefore, this invention proposes a method and system for selecting lead-acid battery samples.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A method for selecting lead-acid battery samples includes the following steps:

[0007] Obtain production information;

[0008] Establish a quality influencing factor model based on the acquired production information;

[0009] Sampling rules are determined based on the obtained production information;

[0010] Preliminary screening of batteries after production;

[0011] A second screening is conducted on batteries that pass the initial screening.

[0012] Samples were determined based on the batteries that passed the second screening.

[0013] Preferably, the acquisition of production information includes obtaining production batch information, production equipment information, production time information, raw material batch information, production environment information, and operator information during the lead-acid battery production process.

[0014] Preferably, the production batch information includes batch number and batch production quantity;

[0015] Production equipment information includes equipment model and equipment operating parameters;

[0016] Production time information includes production date and production shift;

[0017] Production environment information includes temperature, humidity, and cleanliness;

[0018] Operator information includes the operator's skill level and proficiency.

[0019] Preferably, the step of establishing a quality influencing factor model from the acquired production information includes: based on historical production data and quality inspection results, using data analysis algorithms to establish a correlation model between lead-acid battery quality and various production information, and determining the influence weight of each production information on battery quality.

[0020] Preferably, determining the sampling rules based on the acquired production information includes determining a reasonable sampling quantity based on the production batch quantity and statistical principles.

[0021] Based on the weighting of the impact of various production information on battery quality, stratified sampling rules were formulated.

[0022] Preferably, the preliminary screening of the produced batteries includes an appearance inspection and preliminary basic performance testing of the produced lead-acid batteries.

[0023] Preferably, the visual inspection includes checking whether the battery casing is damaged or deformed, whether the terminals are oxidized or loose, and whether the seal is good.

[0024] The preliminary basic performance test includes measuring parameters such as the battery's initial voltage and internal resistance, and eliminating batteries that are unqualified in appearance or have obvious abnormalities in basic performance.

[0025] Preferably, the screening of preliminarily qualified secondary batteries includes:

[0026] Perform charge-discharge cycle tests and record the changes in voltage, current, and capacity of the battery at different charge-discharge stages;

[0027] The internal parameters of the battery, such as the corrosion of the internal plates and the density distribution of the electrolyte, are tested. Based on the results of the in-depth performance test and the established quality influencing factor model, the overall quality score of each battery is evaluated.

[0028] Preferably, the step of determining the samples based on the qualified batteries after secondary screening includes: selecting a predetermined number of batteries as sample batteries according to the comprehensive quality score from high to low, to ensure that the selected sample batteries can comprehensively and accurately represent the quality level of the entire batch of batteries.

[0029] A lead-acid battery sample selection system includes:

[0030] Information acquisition module: used to acquire production batch information, production equipment information, production time information, raw material batch information, etc. during the lead-acid battery production process, and to interact with the production management system, equipment monitoring system, etc. to collect relevant data in real time;

[0031] Model building module: Using data analysis algorithms, based on historical production data and quality inspection results, a correlation model between lead-acid battery quality and various production information is established, and the influence weight of each production information on battery quality is calculated;

[0032] Sampling rule formulation module: Based on the production batch quantity and quality influencing factor model, determine the sampling quantity and stratified sampling rules;

[0033] Preliminary screening module: Conducts visual inspection and preliminary basic performance tests on the produced lead-acid batteries, and rejects unqualified batteries;

[0034] Secondary screening module: Conducts in-depth performance testing on batteries that pass the initial screening and evaluates the overall quality score of the batteries;

[0035] Sample selection module: Select a predetermined number of batteries as sample batteries based on the overall quality score.

[0036] Technical effects and advantages of the present invention: The lead-acid battery sample selection method and system provided by the present invention have the following advantages compared with the prior art:

[0037] This invention, by acquiring comprehensive production information and establishing a quality influencing factor model, fully considers the impact of various factors on battery quality during the production process. Combined with stratified sampling rules, it selects more representative samples that more accurately reflect the overall quality of the batch of batteries, thus improving the scientific rigor of sample selection. Furthermore, by employing a combination of preliminary and secondary screening, it not only inspects the batteries for appearance and basic performance but also conducts in-depth performance testing, comprehensively identifying potential quality problems and improving the comprehensiveness and accuracy of quality testing, effectively ensuring the product quality of lead-acid batteries.

[0038] This invention automates and digitizes the sample selection process, reduces manual intervention, improves selection efficiency, reduces errors caused by human factors, and ensures the reliability and stability of the selection results.

[0039] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description and the drawings. Attached Figure Description

[0040] Figure 1 This is a flowchart of a lead-acid battery sample selection method according to the present invention.

[0041] Figure 2 This is a flowchart of a lead-acid battery sample selection system according to the present invention. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without inventive effort are within the scope of protection of this invention.

[0043] This invention provides, for example Figure 1 The method for selecting lead-acid battery samples shown includes the following steps:

[0044] Obtain production information;

[0045] Establish a quality influencing factor model based on the acquired production information;

[0046] Sampling rules are determined based on the obtained production information;

[0047] Preliminary screening of batteries after production;

[0048] A second screening is conducted on batteries that pass the initial screening.

[0049] Samples were determined based on the batteries that passed the second screening.

[0050] The acquisition of production information includes obtaining production batch information, production equipment information, production time information, raw material batch information, production environment information, and operator information during the lead-acid battery production process.

[0051] The production batch information includes the batch number and the batch production quantity;

[0052] Production equipment information includes equipment model and equipment operating parameters;

[0053] Production time information includes production date and production shift;

[0054] Production environment information includes temperature, humidity, and cleanliness;

[0055] It should be noted that environmental factors have a significant impact on the production quality of lead-acid batteries. For example, excessively high temperatures may cause the active material on the plates to detach, and unsuitable humidity may affect the performance of the electrolyte.

[0056] Operator information includes the operator's skill level and proficiency.

[0057] It should be noted that operators of different skill levels will introduce varying degrees of human error into the production process, and this information should be included in the scope of production information.

[0058] The raw material batch information records the batch numbers and related quality parameters of key raw materials such as electrode plates and electrolytes.

[0059] The process of establishing a quality influencing factor model from the acquired production information includes: based on historical production data and quality inspection results, using data analysis algorithms (such as multiple linear regression analysis, decision tree algorithm, etc.), establishing a correlation model between lead-acid battery quality and various production information, and determining the influence weight of each production information on battery quality.

[0060] For example, analysis revealed that the temperature control parameters of the production equipment have a weight of 0.3 on battery capacity, and the purity of the raw material plates has a weight of 0.4 on battery life.

[0061] The step of determining sampling rules based on the acquired production information includes determining a reasonable sampling quantity based on the production batch quantity and statistical principles.

[0062] Based on the weighting of the impact of various production information on battery quality, stratified sampling rules were formulated.

[0063] For example, batteries produced by equipment with a high influence weight are sampled at a higher proportion; batteries produced by batches with a high influence weight of raw material batches are also sampled at a correspondingly higher proportion.

[0064] The preliminary screening of batteries after production includes visual inspection and preliminary basic performance testing of the produced lead-acid batteries.

[0065] The visual inspection includes checking whether the battery casing is damaged or deformed, whether the terminals are oxidized or loose, and whether the seal is good.

[0066] The preliminary basic performance test includes measuring parameters such as the battery's initial voltage and internal resistance, and eliminating batteries that are unqualified in appearance or have obvious abnormalities in basic performance.

[0067] The screening of secondary batteries that pass the initial screening includes:

[0068] Perform charge-discharge cycle tests and record the changes in voltage, current, and capacity of the battery at different charge-discharge stages;

[0069] The internal parameters of the battery, such as the corrosion of the internal plates and the density distribution of the electrolyte, are tested. Based on the results of the in-depth performance test and the established quality influencing factor model, the overall quality score of each battery is evaluated.

[0070] The process of determining samples based on qualified batteries after secondary screening includes: selecting a predetermined number of batteries as sample batteries according to their comprehensive quality scores, from high to low, to ensure that the selected sample batteries can comprehensively and accurately represent the quality level of the entire batch of batteries.

[0071] This invention provides, for example Figure 2 The lead-acid battery sample selection system shown includes:

[0072] Information acquisition module: used to acquire production batch information, production equipment information, production time information, raw material batch information, etc. during the lead-acid battery production process, and to interact with the production management system, equipment monitoring system, etc. to collect relevant data in real time;

[0073] Model building module: Using data analysis algorithms, based on historical production data and quality inspection results, a correlation model between lead-acid battery quality and various production information is established, and the influence weight of each production information on battery quality is calculated;

[0074] Sampling rule formulation module: Based on the production batch quantity and quality influencing factor model, determine the sampling quantity and stratified sampling rules;

[0075] Preliminary screening module: Conducts visual inspection and preliminary basic performance tests on the produced lead-acid batteries, and rejects unqualified batteries;

[0076] Secondary screening module: Conducts in-depth performance testing on batteries that pass the initial screening and evaluates the overall quality score of the batteries;

[0077] Sample selection module: Select a predetermined number of batteries as sample batteries based on the overall quality score.

[0078] Working principle:

[0079] Obtaining production information: By connecting with the enterprise's production management system, equipment monitoring system and raw material management system, we obtained the production information of a batch of lead-acid batteries, as well as the temperature and humidity in the production environment, and the skill level and proficiency of the operators. The production quantity of this batch is 10,000 units, produced by 3 different models of production equipment, with a production time span of 2 days, involving 2 different batches of plates and 3 different batches of electrolyte.

[0080] A quality influencing factor model was established using the acquired production information: Utilizing the company's production data and quality inspection results from the past six months, a decision tree algorithm was employed to build the model. Analysis determined that the production equipment model had a weight of 0.3 on battery quality, production time (different shifts) had a weight of 0.2, plate batches had a weight of 0.35, and electrolyte batches had a weight of 0.15.

[0081] The sampling rules are determined based on the obtained production information: According to statistical principles, for a production batch of 10,000 units, the sampling quantity is determined to be 100 units. Following stratified sampling rules, the sampling ratio is determined based on the influence weight of the equipment for batteries produced by different production equipment; similarly, the sampling quantity is determined based on the influence weight of batteries produced by different raw material batches. For example, out of 3,000 batteries produced by equipment with a higher influence weight, 35 units are selected as candidate samples.

[0082] Preliminary screening of batteries after production: Visual inspection of the selected candidate samples revealed that 5 batteries had minor damage to their casings and were therefore rejected; initial voltage and internal resistance measurements were performed on the remaining batteries, and 3 batteries with abnormal internal resistance were also rejected.

[0083] Secondary screening of batteries that passed the initial screening: Charge-discharge cycle tests were conducted on the batteries that passed the initial screening, and the voltage, current and capacity change data were recorded; Non-destructive testing technology was used to detect the corrosion of the internal plates and the electrolyte density distribution. Based on the test results and combined with the quality influencing factor model, the comprehensive quality score of each battery was calculated.

[0084] Samples were determined based on the qualified batteries after the second screening: the top 50 batteries were selected as the final sample batteries according to their comprehensive quality scores from high to low, for subsequent comprehensive quality testing and performance evaluation.

[0085] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for selecting lead-acid battery samples, characterized in that, Includes the following steps: Obtain production information; Establish a quality influencing factor model based on the acquired production information; Sampling rules are determined based on the obtained production information; Preliminary screening of batteries after production; A second screening is conducted on batteries that pass the initial screening. Samples were determined based on the batteries that passed the second screening.

2. The method for selecting lead-acid battery samples according to claim 1, characterized in that: The acquisition of production information includes obtaining production batch information, production equipment information, production time information, raw material batch information, production environment information, and operator information during the lead-acid battery production process.

3. The method for selecting lead-acid battery samples according to claim 2, characterized in that: The production batch information includes the batch number and the batch production quantity; Production equipment information includes equipment model and equipment operating parameters; Production time information includes production date and production shift; Production environment information includes temperature, humidity, and cleanliness; Operator information includes the operator's skill level and proficiency.

4. The method for selecting lead-acid battery samples according to claim 1, characterized in that: The step of establishing a quality influencing factor model from the acquired production information includes: based on historical production data and quality inspection results, using data analysis algorithms to establish a correlation model between lead-acid battery quality and various production information, and determining the influence weight of each production information on battery quality.

5. The method for selecting lead-acid battery samples according to claim 4, characterized in that: The step of determining sampling rules based on the acquired production information includes determining a reasonable sampling quantity based on the production batch quantity and statistical principles. Based on the weighting of the impact of various production information on battery quality, stratified sampling rules were formulated.

6. The method for selecting lead-acid battery samples according to claim 1, characterized in that: The preliminary screening of batteries after production includes visual inspection and preliminary basic performance testing of the produced lead-acid batteries.

7. The method for selecting lead-acid battery samples according to claim 6, characterized in that: The visual inspection includes checking whether the battery casing is damaged or deformed, whether the terminals are oxidized or loose, and whether the seal is good. The preliminary basic performance test includes measuring parameters such as the battery's initial voltage and internal resistance, and eliminating batteries that are unqualified in appearance or have obvious abnormalities in basic performance.

8. The method for selecting lead-acid battery samples according to claim 1, characterized in that: The screening of secondary batteries that pass the initial screening includes: Perform charge-discharge cycle tests and record the changes in voltage, current, and capacity of the battery at different charge-discharge stages; The internal parameters of the battery, such as the corrosion of the internal plates and the density distribution of the electrolyte, are tested. Based on the results of the in-depth performance test and the established quality influencing factor model, the overall quality score of each battery is evaluated.

9. The method for selecting lead-acid battery samples according to claim 1, characterized in that: The process of determining samples based on qualified batteries after secondary screening includes: selecting a predetermined number of batteries as sample batteries according to their comprehensive quality scores, from high to low, to ensure that the selected sample batteries can comprehensively and accurately represent the quality level of the entire batch of batteries.

10. A lead-acid battery sample selection system, characterized in that: include: Information acquisition module: used to acquire production batch information, production equipment information, production time information, raw material batch information, etc. during the lead-acid battery production process, and to interact with the production management system, equipment monitoring system, etc. to collect relevant data in real time; Model building module: Using data analysis algorithms, based on historical production data and quality inspection results, a correlation model between lead-acid battery quality and various production information is established, and the influence weight of each production information on battery quality is calculated; Sampling rule formulation module: Based on the production batch quantity and quality influencing factor model, determine the sampling quantity and stratified sampling rules; Preliminary screening module: Conducts visual inspection and preliminary basic performance tests on the produced lead-acid batteries, and rejects unqualified batteries; Secondary screening module: Conducts in-depth performance testing on batteries that pass the initial screening and evaluates the overall quality score of the batteries; Sample selection module: Select a predetermined number of batteries as sample batteries based on the overall quality score.

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