CN202770974U - Electric vehicle power battery automatic test and diagnosis system - Google Patents
Electric vehicle power battery automatic test and diagnosis system Download PDFInfo
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- CN202770974U CN202770974U CN201220491019.7U CN201220491019U CN202770974U CN 202770974 U CN202770974 U CN 202770974U CN 201220491019 U CN201220491019 U CN 201220491019U CN 202770974 U CN202770974 U CN 202770974U
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Abstract
The utility model provides an electric vehicle power battery automatic test and diagnosis system. The system comprises a charging and discharging device which is used for setting a charge condition and a discharge condition and connecting with a battery system to charge and discharge the battery system in application, and a host computer which is connected with the charging and discharging device and is connected with a BMS in application, and is used for analyzing static data, dynamic data, and historical data, diagnosing a fault of the battery system, acquiring actual available capacity of the battery system, and calibrating BMS parameters. In the maintenance process of a battery pack, the electric vehicle power battery automatic test and diagnosis system can determine a life state of the battery pack, diagnose problems in the battery pack and provide a comprehensive and effective guidance for a maintenance operation.
Description
Technical field
The utility model relates to a kind of battery failures diagnostic system, relates in particular to a kind of electric automobile power battery automatic Test System.
Background technology
Structure and the electric circuit characteristic of electrokinetic cell bag are: the limited battery of volume capacity forms electric battery through certain connection in series-parallel, and power brick comprises battery management system (BATTERY MANAGEMENT SYSTEM is called for short BMS).The effect of BMS in power brick is that (1) gathers and the record battery information, such as monomer voltage, monomer temperature, monomer internal resistance etc.; (2) estimating battery state-of-charge (State of Charge, i.e. SOC); (3) estimating state of health of battery; (4) by bus communication is received the control signal that car load sends to car load or by bus.Along with the growth of service time or the variation of operating environment temperature, BMS exists when carrying out state estimation such as active volume and actual capacity and produces the problems such as electric battery SOC that deviation causes is inaccurate, and the otherness of battery cell is also can be in operation more and more serious and then make that battery life reduces, course continuation mileage is not enough.
The key that addresses the above problem is to carry out maintenance, maintenance, and wherein of paramount importance and what need to be resolved hurrily is how to carry out effectively and rapidly battery system field performance test, health status diagnosis and battery management system parameter calibration.
Present maintaining drops into the on-the-spot manual operations of a large amount of manpowers by Battery Company and finishes, but still can not be with the problem investigation fully.Battery system is as the parts of electric automobile, and its maintaining may be paid the motor vehicle repair personnel and be finished, and for the motor vehicle repair personnel, the specialty restriction is the large bottleneck of one.Therefore, if the maintaining scheme of battery unreliable, be not easy the operation, will greatly limit battery life and course continuation mileage, be unfavorable for the electric automobile industry development.
The utility model content
The purpose of this utility model is to provide a kind of electric automobile power battery automatic Test System, has at present problems such as being difficult to fast, effectively obtain the battery system health status to solve in the electric battery maintenance process.
In order to address the above problem, the utility model provides a kind of electric automobile power battery automatic Test System, this system comprises: charging/discharging apparatus is used for setting charge condition and discharging condition, and is connected the battery system charging and discharging with battery system when using; Host computer, be connected with described charging/discharging apparatus and when using, be connected with BMS, be used for analyzing static data, dynamic data, historical data, the fault of diagnosis battery system and the actual active volume of obtaining battery system, the BMS parameter is demarcated, and the preestimating battery system fault that will occur.
According to a kind of preferred implementation of above-mentioned electric automobile power battery automatic Test System, wherein, described host computer is connected described charging/discharging apparatus afterwards by the connection of CAN bus communication with BMS.
The utility model can be judged, the problem illness in the electric battery is diagnosed the service life state of electric battery in the maintaining process of electric battery, for attended operation provides comprehensively, effectively instructs.
Description of drawings
Fig. 1 is the theory structure block diagram of the utility model preferred embodiment;
Fig. 2 is the operational scheme synoptic diagram of the utility model preferred embodiment.
Wherein, the implication of Reference numeral is:
1 host computer, 2 battery systems
20BMS 3 charging/discharging apparatus
The S100-S200 step
Embodiment
Below in conjunction with the drawings and specific embodiments the utility model is described in further details.
As shown in Figure 1, the electric automobile power battery automatic Test System preferred embodiment that the utility model provides comprises interconnected host computer 1, charging/discharging apparatus 3, when using, host computer 1 is connected with BMS 20 in the battery system 2, and charging/discharging apparatus 3 is connected with battery system 2.Wherein, BMS 20 is for detection of, calculating, the static data of storage battery system 2, dynamic data, historical data.Charging/discharging apparatus 3 is used for setting charge condition and discharging condition, and is connected the battery system charging and discharging with battery system 2 when using.Host computer 1 is connected with charging/discharging apparatus 3, is used for analyzing static data, dynamic data, historical data, diagnoses the fault of battery system and the actual active volume of obtaining battery system 2, and BMS 20 parameters are demarcated.
Wherein that, host computer 1 is connected with BMS, connect by the CAN bus communication after the charging/discharging apparatus 3.Certainly, also can utilize RS485, USB etc. to communicate.
Fig. 2 shows the operational scheme of the utility model preferred embodiment, when the battery system 2 of electric automobile is carried out maintaining, after step S100 begins, such as step S101-S107, host computer 1 wherein uses in order to subsequent step S113 from static data, historical data and storage that BMS 20 obtains battery system 2, wherein, static data is battery system 2 in the data of not charging when also not discharging, and historical data is data between battery system 2 twice service time section and the data in the maintaining process.Particularly, static data comprises: the pressure reduction between battery cell voltage, monomer, total voltage, SOC, temperature, temperature difference; Historical data comprises: voltage difference, SOC, temperature variation between monomer voltage, total voltage, monomer.Certainly, as known to the skilled person, host computer 1 comprises the functional modules such as display module, alarm module, memory module, and if necessary, host computer 1 can show static data among the BMS 20, historical data etc.It should be appreciated by those skilled in the art that step S101-103 and step S105-S107 can exchange.
Then such as step 109,3 pairs of battery systems of charging/discharging apparatus discharge and recharge operation, therebetween, such as step S111, host computer 1 reads, shows, stores the dynamic data of the relevant battery system 2 that BMS 20 obtains, dynamic data be battery system 2 in charging process and discharge process in data, for example, the voltage difference between battery cell voltage, monomer, total voltage, SOC, temperature, temperature difference.
Such as step S113, host computer 1 is according to the static data that reads in the above-mentioned steps, dynamic data and historical data, the state of diagnosis battery system 2, host computer 1 can be by diagnosing the fault of battery system 2 to the judgement of many kinds of parameters, for example, analyze the variation tendency etc. of variation tendency, temperature and the temperature difference of the variation tendency of battery cell voltage parameter, the variation tendency of analyzing the battery cell voltage difference, SOC, and compare with database resource in the host computer 1 that presets.Database resource is to set up according to the data that power brick is moved under unfaulty conditions, it has comprised power brick at the life-span of the operation under the different work condition environments, the charge-discharge characteristic under the different operating mode, the pulse discharge characteristic under the different SOC, the inner resistance under the different SOC etc., is the basis of fault diagnostic system work.For example, the lower situation of voltage during higher, the discharge of voltage when charging appears in a certain monomer battery core, the internal resistance that host computer 1 can be judged this battery core according to database resource occurs unusual; Discharge curve under the different SOC is the basis of judging battery management system SOC estimation precision.
Particularly, in conjunction with static data and historical data, host computer 1 carries out preliminary condition judgement according to static data to battery system: the consistance of voltage, the interior temperature field distribution of power brick etc. between monomer in the state-of-charge of electric battery, the electric battery.This step can be with the unbalanced judgement of the SOC between monomer out.If the state of battery is positioned at 0% ~ 10% or 85% ~ 100% of SOC, can identify according to the battery core that SOC is unusual of the voltage difference between monomer.Host computer 1 is judged the problems such as active volume is unbalanced, SOC is unbalanced, local heat production is too much by failure message, and identifies unusual battery core.When unusual appearance or soon appearance, but can judge the fault that is about to appearance according to unusual development trend, for example: the relation skew of battery system voltage and SOC, increase along with cycle index, this skew changes in the same direction as, and then host computer 1 can be made prompting according to the variation of skew, and: BMS 20 need to be to the SOH(state of health of battery system 2) make adjustment.
In the step 109, discharge and recharge condition by charging/discharging apparatus 3 settings, battery system 2 is discharged and recharged, host computer 1 obtains dynamic data.For example, host computer 1 or operating personnel can be according to the OCV(Open Circuit Voltage of battery, open-circuit voltages) the unusual battery core of Curves Recognition, judge the actual active volume of battery pack system, BMS 20 parameters are demarcated being used for.
In step S113, if wherein battery cell of diagnosis breaks down, execution in step S115 then: carry out battery balanced maintenance and change the battery core of fail battery monomer; If break down without battery cell, execution in step S117 then: the active volume of test battery system.
Afterwards, such as step S119,1 couple of BMS of host computer 20 carries out the operation of demarcating the BMS parameter.
Then, such as step 121, the fault of host computer 1 preestimating battery system 2 is with the stability of assessment battery system 2 in following a period of time.
At last, such as step 123, the data in the storage above-mentioned steps are used in order to next maintaining, then such as step S200, finish this maintaining.
To sum up, the utility model can be in the maintaining process of electric battery, service life state to electric battery is judged, in electric battery, such as: the problem illnesss such as SOC is unbalanced, capacity is unbalanced, contact resistance, actual capacity error are diagnosed, the fault that the preestimating battery system may occur in future is for attended operation provides comprehensively, effectively instructs.And then the problem such as the course continuation mileage that solves electrokinetic cell is not enough, the life-span is low
As known by the technical knowledge, the utility model can be realized by other the embodiment that does not break away from its Spirit Essence or essential feature.Therefore, above-mentioned disclosed embodiment with regard to each side, all just illustrates, and is not only.All in the utility model scope or the change that is being equal in the scope of the present utility model all be included in the utility model.
Claims (2)
1. an electric automobile power battery automatic Test System is characterized in that, comprising:
Charging/discharging apparatus is used for setting charge condition and discharging condition, and is connected the battery system charging and discharging with battery system when using;
Host computer, be connected with described charging/discharging apparatus and when using, be connected with BMS, be used for analyzing static data, dynamic data, historical data, the fault of diagnosis battery system and the actual active volume of obtaining battery system, the BMS parameter is demarcated the fault of preestimating battery system.
2. electric automobile power battery automatic Test System according to claim 1 is characterized in that, described host computer is connected described charging/discharging apparatus afterwards by the connection of CAN bus communication with BMS.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201220491019.7U CN202770974U (en) | 2012-09-24 | 2012-09-24 | Electric vehicle power battery automatic test and diagnosis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201220491019.7U CN202770974U (en) | 2012-09-24 | 2012-09-24 | Electric vehicle power battery automatic test and diagnosis system |
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| Publication Number | Publication Date |
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| CN202770974U true CN202770974U (en) | 2013-03-06 |
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| CN201220491019.7U Expired - Lifetime CN202770974U (en) | 2012-09-24 | 2012-09-24 | Electric vehicle power battery automatic test and diagnosis system |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104483628A (en) * | 2014-11-11 | 2015-04-01 | 惠州市亿能电子有限公司 | Electric vehicle battery pack state-of-health detection device and method |
| CN104635166A (en) * | 2015-02-06 | 2015-05-20 | 芜湖大学科技园发展有限公司 | Evaluation method for health status of lithium batteries based on battery management system |
| CN106249156A (en) * | 2016-07-28 | 2016-12-21 | 北京新能源汽车股份有限公司 | Power battery system calibration method and device, vehicle-mounted terminal and server |
| CN106786988A (en) * | 2017-02-13 | 2017-05-31 | 成都雅骏新能源汽车科技股份有限公司 | A kind of PACK off-line tests protect high-voltage cage and its guard method |
| WO2017092005A1 (en) * | 2015-12-03 | 2017-06-08 | SZ DJI Technology Co., Ltd. | System and method for determining operational status of battery |
| CN108508369A (en) * | 2018-03-30 | 2018-09-07 | 潍柴动力股份有限公司 | A kind of bearing calibration of automobile power cell, device and system |
| JP2020079764A (en) * | 2018-11-14 | 2020-05-28 | トヨタ自動車株式会社 | Secondary-battery state determination method |
| CN113291200A (en) * | 2021-05-19 | 2021-08-24 | 广州小鹏汽车科技有限公司 | Vehicle battery pack monitoring method and device |
| CN113391210A (en) * | 2021-06-02 | 2021-09-14 | 合肥国盛电池科技有限公司 | Lithium battery BMS distributed data analysis management system |
| WO2024089192A1 (en) | 2022-10-28 | 2024-05-02 | Northvolt Ab | Method and control arrangement for diagnosing cells of battery packs using ev chargers |
-
2012
- 2012-09-24 CN CN201220491019.7U patent/CN202770974U/en not_active Expired - Lifetime
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104483628B (en) * | 2014-11-11 | 2019-12-13 | 惠州市亿能电子有限公司 | Device and method for detecting health state of battery pack of electric vehicle |
| CN104483628A (en) * | 2014-11-11 | 2015-04-01 | 惠州市亿能电子有限公司 | Electric vehicle battery pack state-of-health detection device and method |
| CN104635166A (en) * | 2015-02-06 | 2015-05-20 | 芜湖大学科技园发展有限公司 | Evaluation method for health status of lithium batteries based on battery management system |
| WO2017092005A1 (en) * | 2015-12-03 | 2017-06-08 | SZ DJI Technology Co., Ltd. | System and method for determining operational status of battery |
| US11175345B2 (en) | 2015-12-03 | 2021-11-16 | SZ DJI Technology Co., Ltd. | System and method for determining an operational status of a battery |
| CN106249156A (en) * | 2016-07-28 | 2016-12-21 | 北京新能源汽车股份有限公司 | Power battery system calibration method and device, vehicle-mounted terminal and server |
| CN106786988A (en) * | 2017-02-13 | 2017-05-31 | 成都雅骏新能源汽车科技股份有限公司 | A kind of PACK off-line tests protect high-voltage cage and its guard method |
| CN108508369A (en) * | 2018-03-30 | 2018-09-07 | 潍柴动力股份有限公司 | A kind of bearing calibration of automobile power cell, device and system |
| JP2020079764A (en) * | 2018-11-14 | 2020-05-28 | トヨタ自動車株式会社 | Secondary-battery state determination method |
| JP7174327B2 (en) | 2018-11-14 | 2022-11-17 | トヨタ自動車株式会社 | Method for determining state of secondary battery |
| CN113291200A (en) * | 2021-05-19 | 2021-08-24 | 广州小鹏汽车科技有限公司 | Vehicle battery pack monitoring method and device |
| CN113391210A (en) * | 2021-06-02 | 2021-09-14 | 合肥国盛电池科技有限公司 | Lithium battery BMS distributed data analysis management system |
| WO2024089192A1 (en) | 2022-10-28 | 2024-05-02 | Northvolt Ab | Method and control arrangement for diagnosing cells of battery packs using ev chargers |
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Granted publication date: 20130306 |