A BMS production test method and system based on automatic identification

Abstract

The present invention relates to the technical fields of battery management system, new energy battery pack production and testing, and the like, and provides a BMS production test method and system based on automatic identification, wherein a charger feature library is established to store charging current step jump features of different types of chargers used to charge a BMS module and compatibility information between different types of chargers and the BMS module, a current charger compatible with the BMS module is obtained according to the compatibility information, the BMS module is charged by the current charger, and the real-time charging current step jump state during the charging process of the current charger is monitored, and a trigger signal for starting a test mode is identified according to the charging current step jump features and the charging current step jump state, and when the trigger signal is identified, the test mode is automatically started, so that the BMS module automatically executes a series of preset test items, thereby improving production test efficiency, reducing costs, reducing manual intervention, improving test accuracy and reliability, and improving product quality.

Description

Technical Field

[0001] The present invention relates to the technical fields of battery management system (BMS), new energy battery pack production and testing, and in particular to a BMS production and testing method and system based on automatic identification. Background Art

[0002] As the core component of the battery pack, the battery management system (BMS) is responsible for monitoring, controlling and managing the charging and discharging process of the battery pack to ensure its safe and efficient operation. During the production process, the BMS needs to undergo rigorous testing to verify its functional integrity and performance stability. The traditional BMS production test method mainly uses the method of reserving a test interface in hardware, that is, reserving a production test detection interface signal for the hardware, manually short-circuiting the test signal during production, and the BMS enters the production test mode. The traditional BMS production test method relies on manual instructions to send the production mode, which requires a lot of manual intervention, resulting in high labor costs. At the same time, the tested products may be omitted during manual operation, increasing the probability of defective products.

[0003] In summary, the existing BMS production testing technology has technical problems such as requiring a lot of manual intervention, high labor costs, easy omission of tested products, and high probability of defective products. Summary of the invention

[0004] In view of the deficiencies in the above-mentioned prior art, the present invention provides a BMS production test method and system based on automatic identification, so as to improve production test efficiency, reduce costs, reduce manual intervention, improve test accuracy and reliability, and enhance product quality.

[0005] In a first aspect, the present invention provides a BMS production test method based on automatic identification, comprising:

[0006] Establishing a charger feature library, wherein the charger feature library stores charging current step jump characteristics of different models of chargers used to charge the BMS module and compatibility information of the different models of chargers with the BMS module;

[0007] Obtaining a current charger compatible with the BMS module according to the compatibility information, charging the BMS module using the current charger, and monitoring a real-time charging current step jump state during the charging process of the current charger;

[0008] According to the charging current step jump characteristics and the charging current step jump state, a trigger signal for starting the test mode is identified, and when the trigger signal is identified, the test mode is automatically started so that the BMS module automatically executes a series of preset test items.

[0009] In a second aspect, the present invention provides a BMS production test system based on automatic identification, wherein the BMS production test system based on automatic identification uses the above-mentioned BMS production test method based on automatic identification to test the BMS module.

[0010] Compared with the prior art, the present invention has the following beneficial effects:

[0011] The present invention provides a BMS production test method and system based on automatic identification, by establishing a charger feature library, the charger feature library stores charging current step jump characteristics of different types of chargers used to charge a BMS module and compatibility information between the different types of chargers and the BMS module, obtains a current charger compatible with the BMS module according to the compatibility information, charges the BMS module using the current charger, and monitors the real-time charging current step jump state during the charging process of the current charger, identifies a trigger signal for starting a test mode according to the charging current step jump characteristics and the charging current step jump state, and automatically starts the test mode when the trigger signal is identified, so that the BMS module automatically executes a series of preset test items, thereby improving production test efficiency, reducing costs, reducing manual intervention, improving test accuracy and reliability, and improving product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their description are used to explain the present invention and do not constitute an improper limitation of the present invention. Some specific embodiments of the present invention will be described in detail in an exemplary and non-restrictive manner with reference to the drawings. The same reference numerals in the drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the drawings:

[0013] Figure 1 It is a flow chart of a BMS production test method based on automatic identification according to an embodiment of the present invention;

[0014] Figure 2 It is a flow chart of a BMS production test system based on automatic identification according to an embodiment of the present invention. DETAILED DESCRIPTION

[0015] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only an embodiment of a part of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present invention.

[0016] Embodiment 1

[0017] See also Figure 1 , Figure 2 The present embodiment provides a BMS production test method based on automatic identification, including step S101, step S102 and step S103, by establishing a charger feature library, the charger feature library stores charging current step jump characteristics of different models of chargers used to charge the BMS module and compatibility information between the different models of chargers and the BMS module, obtains a current charger compatible with the BMS module according to the compatibility information, charges the BMS module using the current charger, and monitors the real-time charging current step jump state during the charging process of the current charger, identifies a trigger signal for starting a test mode according to the charging current step jump characteristics and the charging current step jump state, and automatically starts the test mode when the trigger signal is identified, so that the BMS module automatically executes a series of preset test items, thereby improving production test efficiency, reducing costs, reducing manual intervention, improving test accuracy and reliability, and improving product quality.

[0018] See also Figure 1 , a BMS production test method based on automatic identification, comprising:

[0019] Step S101, establishing a charger feature library, wherein the charger feature library stores charging current step jump characteristics of different models of chargers used to charge the BMS module and compatibility information between the different models of chargers and the BMS module;

[0020] Step S102: obtaining a current charger compatible with the BMS module according to the compatibility information, charging the BMS module using the current charger, and monitoring a real-time charging current step jump state during the charging process of the current charger;

[0021] Step S103: identifying a trigger signal for starting a test mode according to the charging current step jump characteristics and the charging current step jump state; and automatically starting the test mode when the trigger signal is identified, so that the BMS module automatically executes a series of preset test items.

[0022] It should be noted that in step S101, by pre-establishing a charger feature library, the charger feature library stores the charging current step jump characteristics of different models of chargers used to charge the BMS module and the compatibility information of the different models of chargers and the BMS module, so that the BMS module can automatically identify the connected charger without manually selecting or switching the test interface. In step S102, a suitable charger is automatically selected for charging according to the compatibility information, and the current changes during the charging process are monitored in real time. This process is fully automated, eliminating manual operation steps, significantly reducing dependence on operators, thereby reducing labor costs, ensuring comprehensive testing, reducing omissions, and improving product quality. In step S103, the trigger signal of the test mode is automatically identified by monitoring the step jump characteristics of the charging current. Once the preset trigger condition is identified, the BMS module will automatically enter the test mode and execute a series of preset test items. This automated process ensures that each BMS module is fully tested during the production process, avoiding omissions that may be caused by manual operation, and improving the comprehensiveness and consistency of the test.

[0023] In some preferred embodiments, when the trigger signal for starting the test mode is identified according to the charging current step jump characteristic and the charging current step jump state, it includes: comparing the charging current step jump state with the charging current step jump characteristic, and if the charging current step jump state matches the charging current step jump characteristic, then determining that the charging current step jump state is a trigger signal for starting the test mode. It should be noted that in this embodiment, the real-time charging current step jump state is compared with the pre-stored typical jump characteristic mode, and only when the two match is it considered that there is a valid trigger signal, effectively filtering out the misjudgment caused by random fluctuations, noise or non-standard charging process, and realizing the accurate start of automatic entry into the test mode. In addition, by defining a clear jump characteristic as a trigger standard, the test mode can be automatically triggered when the measured data meets the standard. This standardized judgment condition can reduce human intervention and operation, improve the automation and consistency of the production test process, thereby reducing errors and missed tests caused by human factors, and improving overall test efficiency and reliability.

[0024] In some preferred embodiments, the charging current step jump feature includes the time feature of the charging current step jump and the step jump time range, step jump feature vector and step jump amplitude of the corresponding charging current step jump. Further, when comparing the charging current step jump state with the charging current step jump feature, it includes: comparing the time state of the charging current step jump with the time feature of the charging current step jump, and when the time state of the charging current step jump matches the time feature of the charging current step jump, it is determined that the time state of the charging current step jump is a trigger signal for starting the test mode. It should be noted that in this embodiment, by comparing the time state of the charging current step jump with the predefined time feature, it can be ensured that the trigger signal not only matches the expected features in amplitude and shape, but also meets specific requirements in the time dimension. This multi-dimensional matching method effectively filters out misjudgments caused by noise, instantaneous fluctuations or non-standard charging processes, significantly improves the accuracy of trigger signal recognition, and avoids false triggering or missed triggering of test modes. In addition, during the BMS production test process, the start of the test mode needs to be carried out at a specific charging stage or time point. By introducing the comparison of time characteristics, it is possible to accurately control when to enter the test mode and ensure that the test is carried out at the best time. It not only optimizes the timing arrangement of the test process and improves the effectiveness and reliability of the test, but also ensures the coordination of the test process with the charging process to avoid test errors or incompleteness caused by improper timing. For example, assuming that in a certain model of BMS design, the initial charging current I1 = 10A, after t1 = 5 seconds, the charging current jumps to I2 = 15A, and the charging current jumps from I1 to I2 after time t2. The values ​​of I1, I2 and t1, t2 here can be predetermined according to the design parameters and test requirements of the BMS module, and optimized through a large number of experiments and analyses to ensure that the BMS module can accurately identify without being disturbed by small current fluctuations during normal charging. When the time when the charging current of the current charger jumps from I1 to I2 matches the preset t1, the time when the charging current of the current charger jumps from I1 to I2 is judged as the trigger signal for entering the test mode.

[0025] In some further embodiments, the series of preset test items include battery voltage detection accuracy test, temperature sensor calibration test and equalization function test. After the test mode is automatically started, the battery voltage detection accuracy test is first performed, then the temperature sensor calibration test is performed, and finally the equalization function test is performed. It should be noted that accurate voltage data is the basis for all subsequent tests and function implementations. By first verifying the accuracy of voltage detection, it can be ensured that the voltage data relied on is reliable when performing temperature sensor calibration and equalization function tests, avoiding subsequent test errors or functional failures caused by inaccurate basic data. After ensuring that the voltage detection is accurate, the temperature sensor is calibrated because temperature data is also crucial to battery management and affects the effectiveness of the equalization function. Finally, the equalization function test is performed, relying on the accurate data of the first two calibration steps to verify the coordinated working ability of the entire BMS module under comprehensive conditions. In this embodiment, this step-by-step calibration and verification sequence helps to systematically eliminate potential problems and ensure that each link achieves the expected accuracy and stability, thereby improving the reliability and efficiency of the overall test. Preferably, when performing a battery voltage detection accuracy test, read the AFE battery voltage for sampling, obtain the sampled voltage, compare the sampled voltage with the standard voltage source, and pass the test if the error is within ±0.05V. When performing a temperature sensor calibration test, change the ambient temperature of the BMS module through a heating or cooling device, detect the deviation between the output value of the temperature sensor and the actual temperature value, and pass the test if the deviation is within ±2°C. When performing a balancing function test, simulate the voltage difference between different battery cells in the battery pack to check whether the balancing circuit of the BMS module can work normally, so that the voltage difference between each battery cell is within 0.1V.

[0026] In some preferred embodiments, after the test mode is automatically started, the specification protection time parameter of the BMS module production test is shortened. It should be noted that shortening the specification protection time parameter means that during the test process, potential abnormal situations can be responded to and handled more quickly, thereby reducing the waiting time required for each test step, shortening the test cycle as a whole, allowing more BMS modules to complete the test in the same time, and improving the pass rate and capacity of the production line.

[0027] In some preferred embodiments, after the test mode is automatically started, the protocol that prevents production due to the customer turning off the charging and discharging MOS in the BMS module is shielded. It should be noted that the customer may turn off the charging and discharging MOS through the protocol in the BMS module to meet specific usage requirements or configurations. However, this operation will interfere with the verification of the charging and discharging functions during the production test. If not shielded, turning off the charging and discharging MOS may cause the test to fail to proceed normally, and the performance and functions of the BMS module cannot be fully evaluated, thereby affecting the accuracy and reliability of the test results. In this embodiment, by shielding these protocols, the production test can ensure that the charging and discharging MOS is always enabled during the test, ensuring that all key functions are fully verified, thereby ensuring that each BMS module meets quality standards before leaving the factory.

[0028] In some preferred embodiments, after the BMS module automatically executes a series of preset test items to obtain test data, the test data is intelligently analyzed to determine whether the BMS module meets the design specifications and performance standards. Furthermore, when the BMS module does not meet the design specifications and performance standards, the BMS module is determined to be a defective product, and the unqualified BMS module is automatically marked and fed back to the production management system. At the same time, a detailed test report is generated based on the test data of the unqualified BMS module to provide it to the production management system. It should be noted that when the test data is intelligently analyzed, the test data of each BMS module can be accurately evaluated according to the preset design specifications and performance standards to avoid the subjectivity and inconsistency of manual judgment. Manual operations are often affected by experience, fatigue or negligence, while intelligent analysis can unify standards to ensure that each test item is strictly evaluated in accordance with the same specification, thereby improving the consistency and reliability of quality control. In addition, the automatic marking of defective products and real-time feedback to the production management system allows defective modules to be quickly identified and isolated, preventing defective products from continuing to enter the next production stage, thereby improving the response speed of the production line and reducing the overall decline in production efficiency and potential quality problems caused by the accumulation of defective products. In addition, generating detailed test reports is crucial for the production management system and quality control team. The report can record the specific problems and test data of the defective modules to help the production management team analyze the root causes of the problems and make targeted process improvements or adjustments. For example, if a certain model of module frequently has voltage deviation problems, the test report can help determine whether it is a problem in the design, production process or other links, thereby providing data basis for continuous improvement. In addition, the report can also provide feedback to the technical support and R&D teams to help optimize the design and production process.

[0029] Embodiment 2

[0030] See also Figure 1 , Figure 2 The present embodiment provides a BMS production test system based on automatic identification. The BMS production test system based on automatic identification uses the BMS production test method based on automatic identification described in any of the above embodiments to test the BMS module, establishes a charger feature library, and stores charging current step jump characteristics of different models of chargers used to charge the BMS module and compatibility information between the different models of chargers and the BMS module. A current charger compatible with the BMS module is obtained according to the compatibility information, and the BMS module is charged by the current charger. The real-time charging current step jump state during the charging process of the current charger is monitored. According to the charging current step jump characteristics and the charging current step jump state, a trigger signal for starting a test mode is identified. When the trigger signal is identified, the test mode is automatically started, so that the BMS module automatically executes a series of preset test items, thereby improving production test efficiency, reducing costs, reducing manual intervention, improving test accuracy and reliability, and improving product quality. Among them, the BMS module may include an MCU, an AFE module, a fuse FUSE1, a power module POWER, a charge and discharge MOS, and a battery pack (such as B1, B2, and B3). The AFE module is electrically connected to the battery pack, and the AFE module is electrically connected to the MCU. The MCU can communicate with the charger Charge through communication buses such as RS485 and CAN; the charge and discharge MOS can be connected to the battery pack, the AFE module, and the charger Charge, the charger Charge can be connected to the fuse FUSE1, the fuse FUSE1 is connected to the battery pack, the battery pack is connected to the power module POWER, and the power module POWER is connected to the MCU.

[0031] It should be pointed out that the above embodiments are only preferred specific implementation modes of the present invention, and the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention. The protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A BMS production test method based on automatic identification, characterized in that: include: Establishing a charger feature library, wherein the charger feature library stores charging current step jump characteristics of different models of chargers used to charge the BMS module and compatibility information of the different models of chargers with the BMS module; Obtaining a current charger compatible with the BMS module according to the compatibility information, charging the BMS module using the current charger, and monitoring a real-time charging current step jump state during the charging process of the current charger; According to the charging current step jump characteristics and the charging current step jump state, a trigger signal for starting the test mode is identified, and when the trigger signal is identified, the test mode is automatically started so that the BMS module automatically executes a series of preset test items.

2. The BMS production test method based on automatic identification according to claim 1, characterized in that: When identifying the trigger signal for starting the test mode according to the charging current step jump characteristic and the charging current step jump state, it includes: comparing the charging current step jump state with the charging current step jump characteristic, and if the charging current step jump state matches the charging current step jump characteristic, determining that the charging current step jump state is the trigger signal for starting the test mode.

3. The BMS production test method based on automatic identification according to claim 2, characterized in that: The charging current step jump characteristics include a time characteristic of the charging current step jump and a step jump time range corresponding to the charging current step jump, a step jump characteristic vector and a step jump amplitude.

4. The BMS production test method based on automatic identification according to claim 3, characterized in that: When comparing the charging current step jump state and the charging current step jump characteristic, it includes: comparing the time state of the charging current step jump with the time characteristic of the charging current step jump, and when the time state of the charging current step jump matches the time characteristic of the charging current step jump, it is determined that the time state of the charging current step jump is a trigger signal for starting the test mode.

5. The BMS production test method based on automatic identification according to claim 1, characterized in that: After the test mode is automatically started, the specification protection time parameter during the production test of the BMS module is shortened.

6. The BMS production test method based on automatic identification according to claim 1, characterized in that: After the test mode is automatically started, the protocol that cannot be produced due to the customer turning off the charging and discharging MOS in the BMS module is shielded.

7. The BMS production test method based on automatic identification according to any one of claims 1 to 6, characterized in that: The series of preset test items include a battery voltage detection accuracy test, a temperature sensor calibration test, and a balancing function test.

8. The BMS production test method based on automatic identification according to any one of claims 1 to 6, characterized in that: After the BMS module automatically executes a series of preset test items to obtain test data, the test data is intelligently analyzed to determine whether the BMS module meets the design specifications and performance standards.

9. The BMS production test method based on automatic identification according to claim 8, characterized in that: When the BMS module does not meet the design specifications and performance standards, the BMS module is determined to be a defective product, the defective BMS module is automatically marked and fed back to the production management system, and a detailed test report is generated based on the test data of the defective BMS module to be provided to the production management system.

10. A BMS production test system based on automatic identification, characterized in that: The BMS module is tested using the BMS production test method based on automatic identification as described in any one of claims 1 to 9.

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