CN108181110A - New-energy automobile vehicle monitor terminal life testing method based on Arrhenius models - Google Patents

New-energy automobile vehicle monitor terminal life testing method based on Arrhenius models Download PDF

Info

Publication number
CN108181110A
CN108181110A CN201711348314.0A CN201711348314A CN108181110A CN 108181110 A CN108181110 A CN 108181110A CN 201711348314 A CN201711348314 A CN 201711348314A CN 108181110 A CN108181110 A CN 108181110A
Authority
CN
China
Prior art keywords
product
temperature
life
accelerated
monitor terminal
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.)
Withdrawn
Application number
CN201711348314.0A
Other languages
Chinese (zh)
Inventor
岑锦潮
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.)
Foshan Zuwo Technology Co ltd
Original Assignee
Foshan Zuwo Technology Co ltd
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 Foshan Zuwo Technology Co ltd filed Critical Foshan Zuwo Technology Co ltd
Priority to CN201711348314.0A priority Critical patent/CN108181110A/en
Publication of CN108181110A publication Critical patent/CN108181110A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M17/00Testing of vehicles
    • G01M17/007Wheeled or endless-tracked vehicles

Abstract

The present invention proposes a kind of new-energy automobile vehicle monitor terminal life testing method based on Arrhenius models, it is characterized in that, product is generally in actual use in the temperature environment of multiple variations, generally chooses several typical temperature spots by counting;Arrhenius models are the mathematical model to life of product impact analysis based on temperature stress;Generally use hot test carries out the accelerated ageing of product.The present invention with reference to the characteristic feature of vehicle monitor terminal, formulates corresponding differentiation testing program, accelerating aging test is carried out to it by analyzing its mathematical model, to shorten the test period, improves test efficiency, reduces experimentation cost.

Description

New-energy automobile vehicle monitor terminal life test based on Arrhenius models Method
Technical field
The present invention relates to a kind of new-energy automobile vehicle monitor terminal life testing methods based on Arrhenius models.
Background technology
" safely " it is that new-energy automobile is developed so far the topic that temperature does not subtract still.In order to strengthen to new-energy automobile safety The monitoring of operation by collection vehicle condition real time data, effectively can reduce or exclude vehicle and run potential security risk, really Consumer safety is protected to use.The end of the year in 2016, China issue and implement " electric vehicle remote service and management systems technology rule Model " series standard, and require all new-energy automobiles that the vehicle monitor terminal for meeting the standard is installed.Vehicle monitor terminal passes through The modes collection vehicle real-time running data such as CAN bus, is stored and is uploaded to management platform by modes such as GSM. Vehicle monitor terminal is the data source for realizing new-energy automobile security control, and importance is self-evident, thus requires vehicle-mounted Monitor terminal reliable and stable operation in defined life cycle, it is particularly necessary to the research of its life characteristics.Standard requires vehicle The least life of monitor terminal is carried as 5 years, however, in the actual development verification test of product, when can not expend so long Between verify its life characteristic, in this way, not only the test period is very long, and experimentation cost is higher, less efficient, seriously affect production Product being designed and developed and promoting and applying.
Invention content
In view of this, a kind of new-energy automobile vehicle monitor terminal longevity based on Arrhenius models proposed by the present invention Test method is ordered, according to all kinds of mathematical models and the typical feature of vehicle monitor terminal, corresponding testing program is formulated, as far as possible The life characteristic of vehicle monitor terminal is effectively assessed in the short period.
A kind of new-energy automobile vehicle monitor terminal life testing method based on Arrhenius models, product is in reality It is generally in during use in the temperature environment of multiple variations, generally chooses several typical temperature spots by counting; Arrhenius models are the mathematical model to life of product impact analysis based on temperature stress;Generally use hot test come into The accelerated ageing of row product, the accelerated factor algorithm under some temperature spot are as follows:
In formula:The activation energy of EA- product failure reactions, eV is related to product characteristic, the typical case of electronic building brick class product Value is 0.45eV;K- Boltzmann constants, value are 8.617 × 10eV/ DEG C;Selection adds during TPruf- progress accelerated tests Fast temperature value generally corresponds to the maximum operating temperature of product or maximum storage temperature value;TFeld, i- product are in actual use ring Some the representative temperature value chosen in border;
Thus, it may be determined that the accelerated factor under each representative temperature value;In design experiment, the production can be determined according to the following formula The product final accelerated aging test time:
In formula:tPrufThe accelerated aging test time;tLifeProduct design life time;Pi- product practical service environment temperature The statistical implantation of the representative temperature value, is generally expressed as a percentage in degree distribution;
It is calculated based on Arrhenius models accelerated test:Assuming that average daily vehicle usage time is 1.5h, i.e., it is vehicle-mounted The monitor terminal daily working time is 1.5h, therefore, within vehicle monitor terminal period projected life of 5 years, real work Time is 2737.5h, i.e., 5 (year) × 365 (my god) × 1.5h, this is tLifeValue.Set accelerated aging test temperature value as Maximum operating temperature, i.e., 80 DEG C.
In order to which the service life to vehicle monitor terminal this new-energy automobile security control critical component is assessed, to ensure It can provide reliable and stable work in the statement period, herein by experiment of high-temperature load of the introducing based on Arrhenius models Common physics accelerated aging test, on the basis of its mathematical model is analyzed, corresponding testing program is formulated, by it Mathematical model is analyzed, and with reference to the characteristic feature of vehicle monitor terminal, formulates corresponding differentiation testing program, it is carried out Accelerating aging test to shorten the test period, improves test efficiency, reduces experimentation cost.
Specific embodiment
The present invention is got information about for those skilled in the art is allowed to be more clear, the present invention will be made below further Explanation.
A kind of new-energy automobile vehicle monitor terminal life testing method based on Arrhenius models, product is in reality It is generally in during use in the temperature environment of multiple variations, generally chooses several typical temperature spots by counting; Arrhenius models are the mathematical model to life of product impact analysis based on temperature stress;Generally use hot test come into The accelerated ageing of row product, the accelerated factor algorithm under some temperature spot are as follows:
In formula:The activation energy of EA- product failure reactions, eV is related to product characteristic, the typical case of electronic building brick class product Value is 0.45eV;K- Boltzmann constants, value are 8.617 × 10eV/ DEG C;Selection adds during TPruf- progress accelerated tests Fast temperature value generally corresponds to the maximum operating temperature of product or maximum storage temperature value;TFeld, i- product are in actual use ring Some the representative temperature value chosen in border;
Thus, it may be determined that the accelerated factor under each representative temperature value;In design experiment, the production can be determined according to the following formula The product final accelerated aging test time:
In formula:tPrufThe accelerated aging test time;tLifeProduct design life time;Pi- product practical service environment temperature The statistical implantation of the representative temperature value, is generally expressed as a percentage in degree distribution;
It is calculated based on Arrhenius models accelerated test:Assuming that average daily vehicle usage time is 1.5h, i.e., it is vehicle-mounted The monitor terminal daily working time is 1.5h, therefore, within vehicle monitor terminal period projected life of 5 years, real work Time is 2737.5h, i.e., 5 (year) × 365 (my god) × 1.5h, this is tLifeValue.Set accelerated aging test temperature value as Maximum operating temperature, i.e., 80 DEG C.The distribution of passenger compartment representative temperature is as shown in table 1, is obtained under each representative temperature value according to formula (1) Accelerated factor it is as shown in table 1.
1 representative temperature of table is distributed and its accelerated factor:
Thus, accelerated test time of the vehicle monitor terminal based on Arrhenius models can be calculated according to formula (2) For 505.5h.
Verification experimental verification
In order to verify the validity of the accelerated aging test method based on above-mentioned model in text, encapsulated from a collection of aluminium casing Vehicle monitor terminal sample in randomly select 3 samples of A, B, C and carry out accelerated aging tests according to 3 kinds of accelerated methods respectively. In order to carry out Experimental Comparison, humiture case that 3 experiments select specification performance parameter identical, warm variable Rate can reach 4 DEG C/ Min can meet requirement of the Coffin-Manson models to warm variable Rate;Temperature range is -40~150 DEG C, can cover 3 classes and add The temperature requirement of speed experiment;Humidity range is 10%RH~98%RH, can meet requirement of the Lawson models to humidity range, case The space of body is 1m.Functional test is carried out to 3 samples first before experiment, function is in A as defined in ISO 16750-1 Grade.
A products its function of repetition measurement after the Arrhenius high temperature accelerated aging tests of experience about 506h, still in A grades;B Product its function of repetition measurement after the Coffin-Manson temperature alternating accelerated aging tests of experience about 270h, still in A grades;C is produced Product its function of repetition measurement after the Lawson Steadydamp-heat accelerated aging tests of experience about 339h, still in A grades.It thus is seen that Accelerated ageing effect is under the premise of, the temperature alternating accelerated aging test method based on Coffin-Manson models, takes Shorter, cost is lower.
In order to which the service life to vehicle monitor terminal this new-energy automobile security control critical component is assessed, to ensure It can provide reliable and stable work in the statement period, herein by experiment of high-temperature load of the introducing based on Arrhenius models Common physics accelerated aging test, on the basis of its mathematical model is analyzed, corresponding testing program is formulated, by it Mathematical model is analyzed, and with reference to the characteristic feature of vehicle monitor terminal, formulates corresponding differentiation testing program, it is carried out Accelerating aging test to shorten the test period, improves test efficiency, reduces experimentation cost.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention With within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention god.

Claims (1)

  1. A kind of 1. new-energy automobile vehicle monitor terminal life testing method based on Arrhenius models, which is characterized in that production Product are generally in actual use in the temperature environment of multiple variations, generally choose several typical temperature by counting Point;Arrhenius models are the mathematical model to life of product impact analysis based on temperature stress;Generally use hot test comes The accelerated ageing of product is carried out, the accelerated factor algorithm under some temperature spot is as follows:
    In formula:The activation energy of EA- product failure reactions, eV is related to product characteristic, the typical value of electronic building brick class product For 0.45eV;K- Boltzmann constants, value are 8.617 × 10eV/ DEG C;TPruf- carries out the acceleration temperature of selection during accelerated test Angle value generally corresponds to the maximum operating temperature of product or maximum storage temperature value;TFeld, i- product are in practical service environment Some the representative temperature value chosen;
    Thus, it may be determined that the accelerated factor under each representative temperature value;In design experiment, the product can be determined most according to the following formula The whole accelerated aging test time:
    In formula:tPrufThe accelerated aging test time;tLifeProduct design life time;Pi- product practical service environments temperature point The statistical implantation of the representative temperature value, is generally expressed as a percentage in cloth;
    It is calculated based on Arrhenius models accelerated test:Assuming that average daily vehicle usage time is 1.5h, i.e. vehicle-mounted monitoring The terminal daily working time is 1.5h, therefore, within vehicle monitor terminal period projected life of 5 years, running time For 2737.5h, i.e., 5 (year) × 365 (my god) × 1.5h, this is tLifeValue.Accelerated aging test temperature value is set as highest Operating temperature, i.e., 80 DEG C.
CN201711348314.0A 2017-12-15 2017-12-15 New-energy automobile vehicle monitor terminal life testing method based on Arrhenius models Withdrawn CN108181110A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711348314.0A CN108181110A (en) 2017-12-15 2017-12-15 New-energy automobile vehicle monitor terminal life testing method based on Arrhenius models

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711348314.0A CN108181110A (en) 2017-12-15 2017-12-15 New-energy automobile vehicle monitor terminal life testing method based on Arrhenius models

Publications (1)

Publication Number Publication Date
CN108181110A true CN108181110A (en) 2018-06-19

Family

ID=62546163

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711348314.0A Withdrawn CN108181110A (en) 2017-12-15 2017-12-15 New-energy automobile vehicle monitor terminal life testing method based on Arrhenius models

Country Status (1)

Country Link
CN (1) CN108181110A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110763942A (en) * 2019-11-18 2020-02-07 许继变压器有限公司 Method and device for detecting residual life of dry-type transformer
CN111208447A (en) * 2020-03-06 2020-05-29 上海度普新能源科技有限公司 Power module test system
CN112834943A (en) * 2019-11-25 2021-05-25 郑州宇通集团有限公司 Method and device for testing service life of battery management system based on high-temperature endurance test
CN113447237A (en) * 2021-06-08 2021-09-28 奇瑞汽车股份有限公司 Reliability test method of vehicle-mounted fatigue monitoring system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102385046A (en) * 2011-03-09 2012-03-21 北京市电力公司 Weibull distribution-based method for determining minimum test time of prolonging service life of intelligent electric meter
CN102542101A (en) * 2011-12-19 2012-07-04 北京工业大学 Method for quickly judging failure mechanism consistency of temperature stress acceleration experiment
CN103777098A (en) * 2014-01-23 2014-05-07 北京航空航天大学 Method for evaluating opto-coupler storage life based on low-frequency noise classification
CN104156599A (en) * 2014-08-13 2014-11-19 北京航空航天大学 Accelerated life test load spectrum determining method with multiple mechanisms taken into consideration
CN105093028A (en) * 2015-08-21 2015-11-25 北京航天长征飞行器研究所 Test method for acceleration storage of electronic products
CN107367694A (en) * 2017-07-31 2017-11-21 重庆金山医疗器械有限公司 A kind of appraisal procedure and system of lithium battery service life

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102385046A (en) * 2011-03-09 2012-03-21 北京市电力公司 Weibull distribution-based method for determining minimum test time of prolonging service life of intelligent electric meter
CN102542101A (en) * 2011-12-19 2012-07-04 北京工业大学 Method for quickly judging failure mechanism consistency of temperature stress acceleration experiment
CN103777098A (en) * 2014-01-23 2014-05-07 北京航空航天大学 Method for evaluating opto-coupler storage life based on low-frequency noise classification
CN104156599A (en) * 2014-08-13 2014-11-19 北京航空航天大学 Accelerated life test load spectrum determining method with multiple mechanisms taken into consideration
CN105093028A (en) * 2015-08-21 2015-11-25 北京航天长征飞行器研究所 Test method for acceleration storage of electronic products
CN107367694A (en) * 2017-07-31 2017-11-21 重庆金山医疗器械有限公司 A kind of appraisal procedure and system of lithium battery service life

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
何鹏林 等: "新能源汽车车载监控终端寿命试验研究及应用", 《汽车电器》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110763942A (en) * 2019-11-18 2020-02-07 许继变压器有限公司 Method and device for detecting residual life of dry-type transformer
CN110763942B (en) * 2019-11-18 2021-12-31 许继变压器有限公司 Method and device for detecting residual life of dry-type transformer
CN112834943A (en) * 2019-11-25 2021-05-25 郑州宇通集团有限公司 Method and device for testing service life of battery management system based on high-temperature endurance test
CN111208447A (en) * 2020-03-06 2020-05-29 上海度普新能源科技有限公司 Power module test system
CN113447237A (en) * 2021-06-08 2021-09-28 奇瑞汽车股份有限公司 Reliability test method of vehicle-mounted fatigue monitoring system

Similar Documents

Publication Publication Date Title
CN108181110A (en) New-energy automobile vehicle monitor terminal life testing method based on Arrhenius models
CN108088764A (en) New-energy automobile vehicle monitor terminal life testing method based on Coffin-Manson models
Lih et al. Second use of retired lithium-ion battery packs from electric vehicles: technological challenges, cost analysis and optimal business model
Canals Casals et al. A cost analysis of electric vehicle batteries second life businesses
CN109116242B (en) Data processing method and device for power battery
WO2010131261A2 (en) Method for validation and introduction of one or more features in an electrically powered system
CN103745132A (en) Evaluation method for reliable life of blade vibration fatigue of gas compressor impeller of supercharger
CN110686915B (en) Method, system, medium and equipment for determining multi-stress acceleration test profile
DE102014016825A1 (en) Motor vehicle charging socket with overheating protection
CN209071553U (en) Battery pack bulge detection device, battery management system, vehicle
CN113500916A (en) Early warning method, early warning device and control equipment for safety state of battery system
CN104192062A (en) Fault monitoring method and device for cooling system
CN114329921A (en) Method, device, equipment and medium for evaluating reliability performance of whole vehicle
CN108037391A (en) New-energy automobile vehicle monitor terminal life testing method based on Lawson models
CN115503535B (en) Secure charging method, apparatus, device and computer readable storage medium
CN112149908A (en) Vehicle driving prediction method, system, computer device and readable storage medium
CN112993344A (en) Neural network-based fuel cell system output performance prediction method and device
Simeone et al. Collision damage assessment in lithium-ion battery cells via sensor monitoring and ensemble learning
CN116338454A (en) New energy automobile electrical property detection method and device
US11809255B2 (en) Method for predicting service life of a battery unit
US20150094891A1 (en) Computer-Implemented Method for Generating Software, a Battery, and a Motor Vehicle
CN114636946A (en) Method and device for machine-specifically improving the service life of a device battery in a battery-powered machine
Baraldi et al. A procedure for practical prognostics and health monitoring of fully electric vehicles for enhanced safety and reliability
CN112634569A (en) Fire early warning method and device, electronic equipment and storage medium
Vor dem Esche Safety of Flywheel Storage Systems

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
WW01 Invention patent application withdrawn after publication

Application publication date: 20180619

WW01 Invention patent application withdrawn after publication