CN111045418B - Health management system of electric drive system - Google Patents
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- CN111045418B CN111045418B CN201911378146.9A CN201911378146A CN111045418B CN 111045418 B CN111045418 B CN 111045418B CN 201911378146 A CN201911378146 A CN 201911378146A CN 111045418 B CN111045418 B CN 111045418B
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0262—Confirmation of fault detection, e.g. extra checks to confirm that a failure has indeed occurred
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- G05B2219/20—Pc systems
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Abstract
本发明公开了一种电驱动系统的健康管理系统，其控制模块用于发送控制指令实现对电驱动系统的控制；健康管理模块用于获取电驱动系统的运行性能数据，进行故障诊断及预测根据故障诊断及预测结果提供应对措施；外围数据模块用于获取电驱动系统运维单位提供的运维数据；板载数据库模块用于存储控制模块、健康管理模块及外围数据模块产生的数据及电驱动系统的运行性能数据；通讯模块实现控制模块、健康管理模块、板载数据库模块及外围数据模块之间的数据交互。本发明提供了针对电驱动系统的PHM系统架构和布局，能够对电驱动系统进行全面有效的故障预测及健康管理，对关于电驱动系统PHM技术进一步的技术扩展、生产提出合理的技术布局指导，提升研发效率。
The invention discloses a health management system of an electric drive system. The control module is used for sending control instructions to realize the control of the electric drive system; Provide countermeasures for fault diagnosis and prediction results; the peripheral data module is used to obtain the operation and maintenance data provided by the operation and maintenance unit of the electric drive system; the onboard database module is used to store the data generated by the control module, the health management module and the peripheral data module and the electric drive The operation performance data of the system; the communication module realizes the data interaction between the control module, the health management module, the onboard database module and the peripheral data module. The present invention provides the PHM system architecture and layout for the electric drive system, can carry out comprehensive and effective fault prediction and health management for the electric drive system, and proposes reasonable technical layout guidance for the further technical expansion and production of the PHM technology of the electric drive system, Improve R&D efficiency.
Description
Technical Field
The invention relates to the technical field of fault prediction and health management, in particular to a health management system of an electric drive system.
Background
The existing PHM (fault prediction and Health Management) system is mainly applied to the fields of aerospace, national defense and rail transit, has less application in the field of vehicles, particularly the field of electric drive systems of electric vehicles and hybrid vehicles, does not form a systematic PHM technology of the electric drive system, and cannot perform comprehensive and effective fault prediction and Health Management on the electric drive system.
Disclosure of Invention
Therefore, the health management system of the electric drive system provided by the invention overcomes the defects that the electric drive system cannot be comprehensively and effectively subjected to fault prediction and health management in the prior art.
An embodiment of the present invention provides a health management system for an electric drive system, including: the system comprises a control module, a health management module, a communication module, an onboard database module and a peripheral data module, wherein the control module is used for sending a control instruction to realize control on the electric drive system; the health management module is used for acquiring the operation performance data of the electric drive system, diagnosing and predicting faults and providing corresponding measures according to the fault diagnosis and prediction results; the peripheral data module is used for acquiring operation and maintenance data provided by an operation and maintenance unit of the electric drive system; the onboard database module is used for storing data generated by the control module, the health management module and the peripheral data module and the operating performance data of the electric drive system; the communication module is used for realizing data interaction among the control module, the onboard database module of the health management module and the peripheral data module.
In an embodiment, the health management system of the electric drive system further comprises: and the visual interaction module is used for acquiring the health management information of the electric drive system for display through the communication module according to the acquired demand information of the user. .
In an embodiment, the health management system of the electric drive system further comprises: and the performance evaluation module is used for calling the information of the health management module from the onboard database through the communication module, evaluating the performance of the health management module, generating evaluation information, periodically updating the evaluation information along with the increase and change of the information, and outputting the evaluation information to the visual interaction module and storing the evaluation information in the onboard database through the communication module.
In one embodiment, the health management module comprises: the state monitoring unit, the failure diagnosis unit, the failure prediction unit, the health management unit and the failure prediction and health management general data flow unit connected with the four units are provided, wherein: the fault prediction and health management general data flow unit is connected with the communication module and used for realizing data interaction with the control module, the onboard database module and the peripheral data module; the state monitoring unit is used for processing and acquiring the performance information of the electric drive system collected by the sensor; the fault diagnosis unit diagnoses whether the electric drive system has faults or not according to the information processed by the state monitoring unit; the fault prediction unit generates fault prediction information according to data input by the fault diagnosis unit and the fault prediction and health management universal data stream unit by using a preset and cloud updated artificial intelligence algorithm; and the health management unit carries out comprehensive decision and provides corresponding measures according to the information input by the fault diagnosis unit, the fault prediction unit, the health management general data flow module and the fault prediction unit.
In one embodiment, the communication module comprises a communication interface, a communication bus and an interaction platform, the communication bus performs data interaction with the control module, the onboard database and the health management module, and data acquired by the communication bus performs data interaction with a smart cloud data center and an off-line data center of an electric drive system operation and maintenance unit through the communication interface on the interaction platform.
In one embodiment, the control module is implemented by an MCU and the health management module is implemented by an FPGA, GPU or ASIC.
The technical scheme of the invention has the following advantages:
the health management system of the electric drive system provided by the embodiment of the invention provides a PHM system architecture and layout aiming at the electric drive system, can carry out relatively comprehensive and effective fault prediction and health management on the electric drive system, provides reasonable technical layout guidance for further technical expansion and production of the PHM technology of the electric drive system, and improves the research and development efficiency.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram of a health management system of an electric drive system according to an embodiment of the present invention;
fig. 2 is a schematic structural component diagram of a specific example of a peripheral data module according to an embodiment of the present invention;
FIG. 3 is a structural composition diagram of a specific example of a health management module provided by an embodiment of the present invention;
fig. 4 is a structural diagram of a specific example of a communication module according to an embodiment of the present invention;
FIG. 5 is a schematic diagram illustrating another configuration of a health management system of an electric drive system according to an embodiment of the present invention;
fig. 6 is a structural diagram of a specific example of an electric drive system according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Examples
An embodiment of the present invention provides a health management system for an electric drive system, as shown in fig. 1, including: control module, health management module, communication module, on-board database module and peripheral data module, wherein:
the control module is used for sending a control command to realize the control of the electric drive system, and the data of the control module flows into the communication module and the onboard database module to be called by the health management module.
The peripheral data module is used for acquiring operation and maintenance data provided by an operation and maintenance unit of the electric drive system; as shown in fig. 2, in practical applications, the operation and maintenance unit of the electric drive system may be a product and a service provider, and in the field of electric/hybrid vehicles, the product and the service provider may be, for example, OEM, Tier1, Tier2, a maintenance company, and the like, and by using the advantages of large data storage amount, computing advantage, communication, sharing convenience, and the like stored in the cloud of the smart cloud data center, information sent by the health management system of the electric drive system through the communication module may be read and stored, the cloud data center performs artificial intelligence computation and then communicates with the operation and maintenance unit of the electric drive system, and the cloud data center performs data communication storage and computation work of the whole life cycle along with the operation of the electric drive system, and the offline data center is connected to the data center of the offline storage and computation entity through a communication line, and is used for the system to have an abnormality/failure or for periodic maintenance. The two data centers have different application scenes, and the system can achieve the highest communication efficiency under the specific application scene by mutual cooperation.
The health management module is used for acquiring the operation performance data of the electric drive system, diagnosing and predicting faults and providing corresponding measures according to the fault diagnosis and prediction results. Specifically, as shown in fig. 3, the health management module includes: the system comprises a state monitoring unit, a fault diagnosis unit, a fault prediction unit, a health management unit and a fault prediction and health management general data flow unit which is connected with the four units, wherein the fault prediction and health management general data flow unit is connected with a communication module and is used for realizing data interaction with a control module, an on-board database module and a peripheral data module.
In this embodiment, the state monitoring unit, the fault diagnosis unit, the fault prediction unit and the health management unit, the former functional unit is the basis for the operation of the latter functional unit, wherein:
the state monitoring unit is used for processing and acquiring the performance information of the electric drive system collected by the sensor; in particular, data of sensors installed in the electric drive system, such as voltage, current, temperature, position, speed, acceleration, vibration, humidity, magnetic flux, capacitance, dielectric loss factor, etc., are acquired.
The fault diagnosis unit diagnoses whether the electric drive system has faults or not according to the information processed by the state monitoring unit; the fault prediction unit generates fault prediction information according to data input by the fault diagnosis unit and the fault prediction and health management universal data stream unit by using a preset artificial intelligence algorithm; in one embodiment, the state-monitored data may be extracted by analysis using machine-learned algorithms (fourier transform, short-time fourier transform, wigner distribution, wavelet energy, hilbert-yellow transform, principal component analysis, Fisher linear discriminant, gaussian mixture model, logistic regression, statistical pattern recognition, gaussian process regression/prediction, particle filtering, kalman filtering, self-organizing mapping, bayesian networks, decision trees, autoregressive moving average models, fuzzy logic, rough set theory, matching matrices, support vector machines, hidden markov models, etc.). In practice, the operation data of the electric drive system is continuously increased, the cloud end trains an AI calculation model according to the current data, the historical data and the expert knowledge base to obtain the results of fault diagnosis and fault prediction, the operation data of the electric drive system is continuously accumulated, and the AI calculation model is repeatedly improved and verified, so that the current AI calculation model can carry out fault diagnosis and fault prediction on the electric drive system more efficiently and accurately.
The health management unit provides corresponding measures after carrying out comprehensive decision according to information input by the fault diagnosis unit, the fault prediction unit, the health management universal data flow module and the fault prediction unit, and provides and takes different measures according to the measured fault degree, range and time urgency degree in practical application, for example, the health management unit contacts departments such as an OEM, a Tier1, a Tier2 or a maintainer through a cloud side to make maintenance/replacement/insurance preparation work; and taking system emergency shutdown/protection/alarm measures for faults with serious degree, time and consequences.
The onboard database module is used for storing data generated by the control module, the health management module and the peripheral data module and the operating performance data of the electric drive system; the data storage module is located in the system at the physical position, stores system information, historical data and a knowledge base of a health management system of the electric drive system, serves health management software and carries out health management operation of the system.
The communication module is used for realizing data interaction among the control module, the onboard database module of the health management module and the peripheral data module. Specifically, as shown in fig. 4, the communication module includes a communication interface, a communication bus and an interaction platform, the communication bus performs data interaction with the control module, the onboard database and the health management module, and data acquired by the communication bus performs data interaction with a smart cloud data center and an offline data center of an electric drive system operation and maintenance unit through the communication interface on the interaction platform.
In one embodiment, as shown in FIG. 5, the health management system of the electric drive system further comprises: and the visual interaction module is used for acquiring the health management information of the electric drive system for display through the communication module according to the acquired demand information of the user. And the performance evaluation module is used for calling the information of the health management module from the onboard database through the communication module, evaluating the performance of the health management module, generating evaluation information, periodically updating the evaluation information along with the increase and change of the information, and outputting the evaluation information to the visual interaction module and storing the evaluation information in the onboard database through the communication module.
In practical application, because the data volume and the computation volume of the health management system are huge, the MCU of the control hardware platform of the traditional electric drive system can not meet the computation requirement for realizing the health management function of the electric drive system, so the computation hardware platform consists of heterogeneous hardware modules: the control module of the electric drive system is realized by the MCU; the health management module is realized by FPGA/GPU/ASIC, and two groups of computing hardware run in parallel and simultaneously without mutual interference.
It should be noted that the electric drive system according to the embodiment of the present invention includes: system software, a computing hardware platform, a peripheral hardware platform, and a motor. As shown in fig. 6, the operation of the control module, the health management module, and the performance evaluation module is supported by the system software, while the system information and the updated system information are stored in the onboard database.
The health management system of the electric drive system provided by the embodiment of the invention provides a PHM system architecture and layout aiming at the electric drive system, can carry out relatively comprehensive and effective fault prediction and health management on the electric drive system, provides reasonable technical layout guidance for further technical expansion and production of the PHM technology of the electric drive system, and improves the research and development efficiency.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the spirit or scope of the invention.
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| CN111860974B (en) * | 2020-06-30 | 2022-11-01 | 中国地质大学（武汉） | A Multilevel Prediction Method for Drought Based on State Space and Joint Distribution |
| CN113771632A (en) * | 2021-09-28 | 2021-12-10 | 南京禄协信息科技有限公司 | High-performance vehicle-mounted electric drive real-time monitoring and control system |
| CN116361044B (en) * | 2023-03-05 | 2024-01-05 | 莱盟通信科技(上海)有限公司 | Active health management and fault prediction system based on data driving |
| CN116796276B (en) * | 2023-06-28 | 2024-03-22 | 深圳市前海极智创新科技有限公司 | Electric drive fault diagnosis device based on artificial intelligence algorithm |
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