CN111045418B - Health management system of electric drive system - Google Patents

Health management system of electric drive system Download PDF

Info

Publication number
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
Authority
CN
China
Prior art keywords
module
health management
electric drive
drive system
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201911378146.9A
Other languages
Chinese (zh)
Other versions
CN111045418A (en
Inventor
佟雪丽
施其彪
范涛
温旭辉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Institute of Electrical Engineering of CAS
Original Assignee
Institute of Electrical Engineering of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Institute of Electrical Engineering of CAS filed Critical Institute of Electrical Engineering of CAS
Priority to CN201911378146.9A priority Critical patent/CN111045418B/en
Publication of CN111045418A publication Critical patent/CN111045418A/en
Application granted granted Critical
Publication of CN111045418B publication Critical patent/CN111045418B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0262Confirmation of fault detection, e.g. extra checks to confirm that a failure has indeed occurred
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/24Pc safety
    • G05B2219/24065Real time diagnostics

Abstract

The invention discloses a health management system of an electric drive system, wherein a control module of the health management system is used for sending a control instruction to realize the control of the electric drive system; the health management module is used for acquiring the operation performance data of the electric drive system, performing fault diagnosis and prediction 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 realizes data interaction among the control module, the health management module, the onboard database module and the peripheral data module. The PHM system architecture and layout for the electric drive system are provided, the electric drive system can be subjected to comprehensive and effective fault prediction and health management, reasonable technical layout guidance is provided for further technical expansion and production of the PHM technology of the electric drive system, and research and development efficiency is improved.

Description

Health management system of electric drive system
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.
Drawings
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.

Claims (3)

1. A health management system for an electric drive system, comprising: 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 command to realize the control of 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, and 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 performance information of the electric drive system collected by the sensor, wherein the performance information comprises voltage, current, temperature, position, speed, acceleration, vibration, humidity, magnetic flux, capacitance and dielectric loss factor;
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;
the health management unit provides and takes different 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 and the measured fault degree, range and time urgency, and comprises the following steps: the cloud contacts departments such as a service provider or a maintenance provider and the like to make maintenance/replacement/insurance preparation work; taking system emergency shutdown/protection/alarm measures for faults with serious degree, time and consequences;
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 health management module, the onboard database module and the peripheral data module, 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;
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.
2. The health management system of the electric drive system of claim 1, further comprising: 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.
3. The health management system of the electric drive system of claim 1, wherein the control module is implemented by an MCU and the health management module is implemented by an FPGA, a GPU or an ASIC.
CN201911378146.9A 2019-12-27 2019-12-27 Health management system of electric drive system Active CN111045418B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911378146.9A CN111045418B (en) 2019-12-27 2019-12-27 Health management system of electric drive system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911378146.9A CN111045418B (en) 2019-12-27 2019-12-27 Health management system of electric drive system

Publications (2)

Publication Number Publication Date
CN111045418A CN111045418A (en) 2020-04-21
CN111045418B true CN111045418B (en) 2021-09-28

Family

ID=70239137

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911378146.9A Active CN111045418B (en) 2019-12-27 2019-12-27 Health management system of electric drive system

Country Status (1)

Country Link
CN (1) CN111045418B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111860974B (en) * 2020-06-30 2022-11-01 中国地质大学(武汉) Drought multistage prediction method 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

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101263499A (en) * 2005-07-11 2008-09-10 布鲁克斯自动化公司 Intelligent condition monitoring and fault diagnostic system
EP2020330A2 (en) * 2007-07-30 2009-02-04 Robert Bosch GmbH Method and Device for providing a target output value of a drive unit
CN105973594A (en) * 2016-04-25 2016-09-28 西北工业大学 Rolling bearing fault prediction method based on continuous deep belief network
CN108152740A (en) * 2018-01-02 2018-06-12 重庆长安汽车股份有限公司 The method, apparatus and equipment and electric vehicle of driving motor system fault diagnosis
CN110210634A (en) * 2019-06-04 2019-09-06 江苏锐天信息科技有限公司 Based on big data driving Civil Aviation Engine fault diagnosis with it is health management system arranged

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8436559B2 (en) * 2009-06-09 2013-05-07 Sta-Rite Industries, Llc System and method for motor drive control pad and drive terminals
CN106124914A (en) * 2016-06-23 2016-11-16 华中科技大学 Open-circuit fault of power tubes of inverter real-time detection method in motor driven systems
CN109459618B (en) * 2018-11-16 2020-11-03 哈尔滨工业大学 Quasi-online capacitance value detection method for direct-current bus capacitor of electric automobile electric drive system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101263499A (en) * 2005-07-11 2008-09-10 布鲁克斯自动化公司 Intelligent condition monitoring and fault diagnostic system
EP2020330A2 (en) * 2007-07-30 2009-02-04 Robert Bosch GmbH Method and Device for providing a target output value of a drive unit
CN105973594A (en) * 2016-04-25 2016-09-28 西北工业大学 Rolling bearing fault prediction method based on continuous deep belief network
CN108152740A (en) * 2018-01-02 2018-06-12 重庆长安汽车股份有限公司 The method, apparatus and equipment and electric vehicle of driving motor system fault diagnosis
CN110210634A (en) * 2019-06-04 2019-09-06 江苏锐天信息科技有限公司 Based on big data driving Civil Aviation Engine fault diagnosis with it is health management system arranged

Also Published As

Publication number Publication date
CN111045418A (en) 2020-04-21

Similar Documents

Publication Publication Date Title
CN111045418B (en) Health management system of electric drive system
CN106529581B (en) A kind of bridge crane method for diagnosing faults based on Bayesian network
CN105045256B (en) Rail traffic real-time fault diagnosis method and system based on date comprision
CN108303264B (en) Cloud-based vehicle fault diagnosis method, device and system
CN109752646B (en) Vehicle-mounted direct current contactor evaluation and early warning method, device and equipment
CN109130935B (en) Intelligent charging monitoring system for electric automobile
CN106774286A (en) A kind of harmonious D1 types locomotive on-line fault diagnosis method and system based on SIBAS32 control logics
Liu et al. Industrial AI enabled prognostics for high-speed railway systems
Zang et al. Methods for fault diagnosis of high-speed railways: A review
CN102879680A (en) Rail transit vehicle equipment universal detection and fault diagnosis method and system
CN102521613A (en) Method for fault diagnosis of automobile electronic system
KR102215107B1 (en) Vehicle state predicting system and method based on driving data
CN111817880A (en) Oil and gas field production equipment health management system and implementation method
CN109543850A (en) A kind of method and device of railway freight-car life cycle management status data processing
CN110597235A (en) Universal intelligent fault diagnosis method
CN111144588A (en) Management system of vehicle PHM system
CN108255123A (en) Train LCU control devices based on the voting of two from three software and hardware
CN110723169A (en) Train information processing method, device and system
CN114298175A (en) Power equipment state monitoring and fault early warning method and system based on edge calculation
Brahimi et al. Development of a prognostics and health management system for the railway infrastructure—Review and methodology
CN112766618A (en) Anomaly prediction method and device
Jia et al. A clustered blueprint separable convolutional neural network with high precision for high-speed train bogie fault diagnosis
Luo et al. LSTM-based temperature prediction for hot-axles of locomotives
Gopalakrishnan et al. IIoT Framework Based ML Model to Improve Automobile Industry Product.
Meckel et al. Generation of a diagnosis model for hybrid-electric vehicles using machine learning

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant