Intelligent power IPM module control method

Abstract

The invention discloses an intelligent power IPM module control method. The method specifically comprises the following steps: S1, optimizing a control algorithm; s2, a circuit detection and switching mechanism; s3, intelligent information processing; s4, intelligent monitoring; s5, fault diagnosis and protection; s6, carrying out modularization and expandability design; the invention relates to the technical field of power electronics. According to the intelligent power IPM module control method, by optimizing a control algorithm and introducing an intelligent switching mechanism, the control precision and the response speed of the IPM module are remarkably improved; by dynamically adjusting the resistance value of the grid electrode, the balance of noise and loss of the IPM module is realized, and the power consumption of the system is reduced; through real-time monitoring and early warning, rapid protection response and other mechanisms, the fault diagnosis and protection capability of the system is enhanced, and the reliability and safety of the system are improved. Through integration of an intelligent information processing technology, direct calling of IPM module product information and rapid troubleshooting of faults are realized, and the intelligent level of the system is improved.

Description

Technical Field

[0001] The invention relates to the technical field of power electronics, and in particular to an intelligent power IPM module control method. Background Art

[0002] Intelligent Power Module (IPM) is the abbreviation of Intelligent Power Module. It is an advanced power switching device with the advantages of high current density, low saturation voltage and high voltage resistance of GTR (high power transistor), and high input impedance, high switching frequency and low driving power of MOSFET (field effect transistor). In addition, IPM integrates logic, control, detection and protection circuits, which is easy to use. It not only reduces the volume and development time of the system, but also greatly enhances the reliability of the system. It adapts to the development direction of today's power devices - modularization, composite and power integrated circuits (PIC), and has been more and more widely used in the field of power electronics. IPM consists of high-speed, low-power IGBT chips and preferred gate-level drive and protection circuits. IPM can be divided into four categories according to the different internal power circuit configurations: H type (one IGBT is encapsulated internally), D type (two IGBTs are encapsulated internally), C type (six IGBTs are encapsulated internally) and R type (seven IGBTs are encapsulated internally). Low-power IPM uses a multi-layer epoxy insulation system, and medium and high-power IPM uses ceramic insulation.

[0003] With the rapid development of industries such as industrial automation and electric vehicles, the performance requirements for electric drive systems are increasing. As the core component of the electric drive system, the control method of the IPM module directly affects the operating efficiency and stability of the entire system. However, the existing IPM control method has problems such as slow signal processing speed, single control strategy, and limited fault diagnosis capability, which makes it difficult to meet complex and changing application requirements. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an intelligent power IPM module control method, which solves the problems mentioned in the above background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent power IPM module control method, specifically comprising the following steps: S1. Control algorithm optimization: (1) Adaptive control strategy: Dynamically adjust control parameters according to the actual working status of the IPM module to ensure that the system can maintain stable operation under different working conditions; (2) Predictive control algorithm: Combine the system model with future input predictions to adjust the control strategy in advance, reduce system delays, and improve control accuracy and response speed; S2. Circuit detection and switching mechanism: (1) Multi-level detection circuit: Design a high-precision multi-level detection circuit to monitor the signal output terminal level signal of the IPM module in real time to ensure the accuracy and reliability of signal transmission; (2) Intelligent switching circuit: According to the detection results of the level detection circuit, the signal input path is intelligently switched to achieve flexible access and switching of serial / PWM signals to meet different control requirements; (3) Dynamic adjustment of gate resistance: According to the current detection results, the gate resistance value is dynamically adjusted to balance the noise and loss levels of the IPM module and improve system efficiency; S3, Intelligent Information Processing: (1) Signal processing circuit: pre-process the received I / F signal or PWM signal, including filtering, amplification, shaping, etc., to ensure the purity and stability of the signal; (2) Storage and reading mechanism: a storage circuit is provided to store the product information of the IPM module, and upon receiving a specific I / F signal, the product information is transmitted to the control unit through a preset signal transmission terminal, so as to facilitate the identification of the product information and troubleshooting; S4, Intelligent Monitoring: Build a multi-sensor monitoring network, collect IPM module operation data, use machine learning algorithms to train and classify data, and establish fault models; S5. Fault diagnosis and protection: (1) Real-time monitoring and early warning: Real-time monitoring of key parameters of the IPM module, real-time monitoring data and comparison with the fault model to achieve early warning and accurate positioning of faults. Once an abnormality is found, the early warning mechanism is triggered immediately; (2) Rapid protection response: Once a fault signal is detected, the power supply is immediately cut off or the control strategy is adjusted to prevent the fault from expanding and protect the system safety; S6. Modular and scalable design: Design standardized interfaces and protocols to support quick plug-in and flexible configuration of IPM modules; provide scalable hardware and software platforms to facilitate users to expand and upgrade functions according to actual needs.

[0006] Preferably, in S1 (1), the actual working state of the IPM module includes load changes and temperature fluctuations. An adaptive neural network control algorithm is applied to the control of the IPM module. By continuously learning and adapting to the dynamic changes of the system, precise control under complex working conditions is achieved, thereby improving the robustness and adaptability of the system.

[0007] Preferably, in said S1 (2), algorithm modules such as an adaptive PID controller and a predictive controller are integrated to dynamically adjust control parameters according to system feedback signals and preset target values ​​to achieve precise control of output parameters of the IPM module.

[0008] Preferably, in S2 (3), the current detection result includes a low current region and a high current region.

[0009] Preferably, in S3 (2), the product information of the IPM module includes manufacturing information, circuit information and test information.

[0010] Preferably, in S4, a multi-dimensional IPM module health assessment model is constructed according to the intelligent monitoring data, and the monitoring data of multiple dimensions such as temperature, vibration, and electrical parameters are comprehensively considered. Through data mining and machine learning algorithms, the health status and remaining life of the module are comprehensively assessed.

[0011] Preferably, in S5 (1), the key parameters of the IPM module include current, voltage and temperature.

[0012] Beneficial Effects The present invention provides an intelligent power IPM module control method. Compared with the prior art, the intelligent power IPM module control method has the following beneficial effects: the intelligent power IPM module control method specifically includes the following steps: S1, control algorithm optimization; S2, circuit detection and switching mechanism; S3, intelligent information processing; S4, intelligent monitoring; S5, fault diagnosis and protection; S6, modular and scalable design; by optimizing the control algorithm and introducing the intelligent switching mechanism, the control accuracy and response speed of the IPM module are significantly improved; by dynamically adjusting the gate resistance value, the noise and loss of the IPM module are balanced, and the system power consumption is reduced; by real-time monitoring and early warning, rapid protection response and other mechanisms, the fault diagnosis and protection capabilities of the system are enhanced, and the reliability and safety of the system are improved; by integrating intelligent information processing technology, the direct retrieval of IPM module product information and rapid fault troubleshooting are realized, and the intelligence level of the system is improved; modular and scalable design meets the personalized needs of different industries and different application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a flow chart of the steps of the present invention. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] See also Figure 1The present invention provides a technical solution: an intelligent power IPM module control method, which specifically includes the following steps: S1. Control algorithm optimization: (1) Adaptive control strategy: Dynamically adjust control parameters according to the actual working status of the IPM module to ensure that the system can maintain stable operation under different working conditions; (2) Predictive control algorithm: Combine the system model with future input predictions to adjust the control strategy in advance, reduce system delays, and improve control accuracy and response speed; S2. Circuit detection and switching mechanism: (1) Multi-level detection circuit: Design a high-precision multi-level detection circuit to monitor the signal output terminal level signal of the IPM module in real time to ensure the accuracy and reliability of signal transmission; (2) Intelligent switching circuit: According to the detection results of the level detection circuit, the signal input path is intelligently switched to achieve flexible access and switching of serial / PWM signals to meet different control requirements; (3) Dynamic adjustment of gate resistance: According to the current detection results, the gate resistance value is dynamically adjusted to balance the noise and loss levels of the IPM module and improve system efficiency; S3, Intelligent Information Processing: (1) Signal processing circuit: pre-process the received I / F signal or PWM signal, including filtering, amplification, shaping, etc., to ensure the purity and stability of the signal; (2) Storage and reading mechanism: a storage circuit is provided to store the product information of the IPM module, and upon receiving a specific I / F signal, the product information is transmitted to the control unit through a preset signal transmission terminal, so as to facilitate the identification of the product information and troubleshooting; S4, Intelligent Monitoring: Build a multi-sensor monitoring network, collect IPM module operation data, use machine learning algorithms to train and classify data, and establish fault models; S5. Fault diagnosis and protection: (1) Real-time monitoring and early warning: Real-time monitoring of key parameters of the IPM module, real-time monitoring data and comparison with the fault model to achieve early warning and accurate positioning of faults. Once an abnormality is found, the early warning mechanism is triggered immediately; (2) Rapid protection response: Once a fault signal is detected, the power supply is immediately cut off or the control strategy is adjusted to prevent the fault from expanding and protect the system safety; S6. Modular and scalable design: Design standardized interfaces and protocols to support quick plug-in and flexible configuration of IPM modules; provide scalable hardware and software platforms to facilitate users to expand and upgrade functions according to actual needs.

[0016] In the present invention, in S1 (1), the actual working state of the IPM module includes load changes and temperature fluctuations. The adaptive neural network control algorithm is applied to the control of the IPM module. By continuously learning and adapting to the dynamic changes of the system, precise control under complex working conditions is achieved, thereby improving the robustness and adaptability of the system.

[0017] In the present invention, in S1 (2), algorithm modules such as an adaptive PID controller and a predictive controller are integrated to dynamically adjust control parameters according to system feedback signals and preset target values ​​to achieve precise control of the output parameters of the IPM module.

[0018] In the present invention, in S2 (3), the current detection result includes a low current region and a high current region.

[0019] In the present invention, in S3 (2), the product information of the IPM module includes manufacturing information, circuit information and test information.

[0020] In the present invention, in S4, a multi-dimensional IPM module health assessment model is constructed according to the intelligent monitoring data, and the monitoring data of multiple dimensions such as temperature, vibration, and electrical parameters are comprehensively considered. Through data mining and machine learning algorithms, the health status and remaining life of the module are comprehensively evaluated.

[0021] In the present invention, in S5 (1), the key parameters of the IPM module include current, voltage and temperature.

[0022] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0023] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0024] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for controlling an intelligent power IPM module, Features: The specific steps include: S1. Control algorithm optimization: (1) Adaptive control strategy: Dynamically adjust control parameters according to the actual working status of the IPM module to ensure that the system can maintain stable operation under different working conditions; (2) Predictive control algorithm: Combine the system model with future input predictions to adjust the control strategy in advance, reduce system delays, and improve control accuracy and response speed; S2. Circuit detection and switching mechanism: (1) Multi-level detection circuit: Design a high-precision multi-level detection circuit to monitor the signal output terminal level signal of the IPM module in real time to ensure the accuracy and reliability of signal transmission; (2) Intelligent switching circuit: According to the detection results of the level detection circuit, the signal input path is intelligently switched to achieve flexible access and switching of serial / PWM signals to meet different control requirements; (3) Dynamic adjustment of gate resistance: According to the current detection results, the gate resistance value is dynamically adjusted to balance the noise and loss levels of the IPM module and improve system efficiency; S3, Intelligent Information Processing: (1) Signal processing circuit: pre-process the received I / F signal or PWM signal, including filtering, amplification, shaping, etc., to ensure the purity and stability of the signal; (2) Storage and reading mechanism: a storage circuit is provided to store the product information of the IPM module, and upon receiving a specific I / F signal, the product information is transmitted to the control unit through a preset signal transmission terminal, so as to facilitate the identification of the product information and troubleshooting; S4, Intelligent Monitoring: Build a multi-sensor monitoring network, collect IPM module operation data, use machine learning algorithms to train and classify data, and establish fault models; S5. Fault diagnosis and protection: (1) Real-time monitoring and early warning: Real-time monitoring of key parameters of the IPM module, real-time monitoring data and comparison with the fault model to achieve early warning and accurate positioning of faults. Once an abnormality is found, the early warning mechanism is triggered immediately; (2) Rapid protection response: Once a fault signal is detected, the power supply is immediately cut off or the control strategy is adjusted to prevent the fault from expanding and protect the system safety; S6. Modular and scalable design: Design standardized interfaces and protocols to support quick plug-in and flexible configuration of IPM modules; Provides an expandable hardware and software platform to facilitate users to expand and upgrade functions according to actual needs.

2. The intelligent power IPM module control method according to claim 1, Features: In S1 (1), the actual working state of the IPM module includes load changes and temperature fluctuations. The adaptive neural network control algorithm is applied to the control of the IPM module. By continuously learning and adapting to the dynamic changes of the system, precise control under complex working conditions is achieved, thereby improving the robustness and adaptability of the system.

3. The intelligent power IPM module control method according to claim 1, Features: In S1 (2), algorithm modules such as an adaptive PID controller and a predictive controller are integrated to dynamically adjust control parameters according to system feedback signals and preset target values ​​to achieve precise control of the output parameters of the IPM module.

4. The intelligent power IPM module control method according to claim 1, Features: In S2 (3), the current detection result includes a low current region and a high current region.

5. The intelligent power IPM module control method according to claim 1, Features: In S3 (2), the product information of the IPM module includes manufacturing information, circuit information and test information.

6. The intelligent power IPM module control method according to claim 1, Features: In S4, a multi-dimensional IPM module health assessment model is constructed based on the intelligent monitoring data, and the monitoring data of multiple dimensions such as temperature, vibration, and electrical parameters are comprehensively considered. Through data mining and machine learning algorithms, the health status and remaining life of the module are comprehensively assessed.

7. The intelligent power IPM module control method according to claim 1, Features: In S5 (1), the key parameters of the IPM module include current, voltage and temperature.

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