CN112103586B - Monitoring method for new energy automobile battery pack - Google Patents
Monitoring method for new energy automobile battery pack Download PDFInfo
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- CN112103586B CN112103586B CN202011047786.4A CN202011047786A CN112103586B CN 112103586 B CN112103586 B CN 112103586B CN 202011047786 A CN202011047786 A CN 202011047786A CN 112103586 B CN112103586 B CN 112103586B
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/44—Methods for charging or discharging
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
- H01M10/488—Cells or batteries combined with indicating means for external visualization of the condition, e.g. by change of colour or of light density
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Abstract
The invention discloses a monitoring method of a new energy automobile battery pack, which comprises the following steps: 1) periodically acquiring the electrical parameters of each battery pack, and correspondingly constructing an electrical performance curve chart of each battery pack; 2) preliminarily screening out the battery pack with electric property change; 3) feeding back the battery pack with the electrical property change, and reconstructing a corresponding electrical property curve chart after acquiring electrical parameters of the corresponding battery pack again; 4) comparing the obtained secondary electrical property curve with the electrical property curve obtained in the step 1); 5) and carrying out battery load balancing or alarming operation according to the obtained correspondence of the confirmed value electrical property curve graph. The battery pack is accurately controlled, the whole service life is effectively prolonged, and the replacement time and the replacement cost are reduced.
Description
Technical Field
The invention relates to the field of new energy battery packs, in particular to a monitoring method of a new energy automobile battery pack.
Background
With the increasing use of new energy vehicles, the new energy vehicles are increasingly widely used as a vehicle type with good power and high environmental friendliness.
However, unlike a conventional fuel-powered automobile, which is started by electric power, a large number of battery packs are inevitably used. And the whole vehicle is driven by all the battery packs to operate, so that once one battery pack fails, the problem of the whole vehicle can be caused, the whole vehicle can not be used by one-by-one inspection at the moment, and a large amount of time cost is consumed for the inspection.
Moreover, after a problem occurs, the problem generally occurs in an earlier stage of one battery pack, and a large amount of load is applied to other battery packs in a later stage, so that a larger load is brought to the performance of other battery packs, and other battery packs are damaged, so that a plurality of battery packs are easily required to be replaced at the same time, and the use cost is influenced. Especially, in the case that some battery packs which have not reached the end of their service life are used for a long time, the problem of damage of the battery packs itself is caused by imbalance of the load.
Disclosure of Invention
Aiming at the prior art, the invention aims to solve the problems that the controllability of a battery pack in a new energy automobile in the prior art is not strong, and once a problem occurs, the battery pack of the whole automobile is damaged or worn greatly, so that the time and the economic cost are greatly improved, thereby providing the monitoring method of the battery pack of the new energy automobile, which can accurately control the battery pack, effectively prolong the whole service life and reduce the replacement time and the replacement cost.
In order to achieve the above object, the present invention provides a monitoring method for a new energy vehicle battery pack, including:
1) periodically acquiring the electrical parameters of each battery pack, and respectively and correspondingly constructing an electrical performance curve chart of each battery pack according to the electrical parameters of the battery packs;
2) preliminarily screening out the battery pack with electrical property change according to the obtained electrical property curve graph;
3) feeding back the battery pack with the electrical property change, and reconstructing a corresponding electrical property curve chart after acquiring electrical parameters of the corresponding battery pack again;
4) comparing the obtained secondary electrical property curve chart with the electrical property curve chart obtained in the step 1), and if the difference value after comparison is within a preset range, constructing a definite value electrical property curve chart by taking the mean value of the two electrical property curve charts; if the compared difference value is outside the preset range, the electrical property curves are collected again, the electrical property curves with obvious difference are removed according to the electrical property curves collected for three times, and an electrical property curve with a confirmed value is constructed according to the mean value of the electrical property curves collected for the remaining two times;
5) and carrying out battery load balancing or alarming operation according to the obtained correspondence of the confirmed value electrical property curve graph.
Preferably, in the step 1), the periodically acquired electrical parameters of the battery pack are obtained by integrating electrical parameter data acquired for multiple days after electrical parameter data corresponding to 1-2h are acquired every day within 2-5 days, so as to obtain the periodically acquired electrical parameters of the battery pack.
Preferably, in step 1), the interval time between two adjacent cycles is 10-15 days, and when the obtained electrical property curve graph is not higher than the threshold set by the electrical property change and is larger than the threshold set by the good battery pack, the interval time between two adjacent cycles is shortened to 5-8 days.
Preferably, the electrical parameters include battery capacity, battery internal resistance, and self-discharge rate.
Preferably, the threshold range screened in step 2) includes a good battery threshold, a critical threshold and an electrical change threshold, and;
if at least one of the electrical parameters is located at the electrical property change threshold, determining that the battery pack has a positive electrical property change;
if at least two electrical parameters are at the critical threshold, determining that the battery pack has semi-definite electrical variation;
and if one of the electrical parameters is located at the critical threshold value and the other electrical parameters are located at the good battery pack threshold value, the battery pack is judged to be in a semi-accurate good state, and the interval time between two adjacent periods is shortened to 5-8 days.
Preferably, the electrical parameters further include a charge termination voltage and a discharge termination voltage.
Preferably, the obtaining of the electrical parameter includes obtaining when the generator charges the battery pack, or when the battery pack supplies power to a load on the vehicle.
Preferably, in the step 5), the battery pack with semi-exact electrical variation and semi-exact good state is subjected to load balancing operation;
and alarming the battery pack with the changed electrical property.
Preferably, the battery pack with semi-exact electrical change cancels the periodic acquisition of electrical parameters, acquires the electrical parameters in real time every day, and adjusts the electrical parameter data into a processing mode in a corresponding state after entering into an exact electrical change or semi-exact good state correspondingly.
According to the technical scheme, after the electric parameters of each battery pack are acquired, corresponding judgment is carried out according to the electric performance curve diagram, and meanwhile, on the premise of reducing the whole-range screening, the effectiveness of the obtained electric performance curve diagram is further ensured on the basis of primary screening and multiple operations of the electric performance curve diagram, so that the monitoring accuracy of the battery pack is realized; further, the comparison is carried out according to the electric performance curve graph of the confirmed value obtained by comparison, so that the comparison accuracy is effectively improved, corresponding operation is carried out in a targeted manner, the stable realization of the overall performance of the battery is ensured, and the influence on other battery packs is greatly avoided.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a monitoring method for a new energy vehicle battery pack provided by the invention.
Detailed Description
The following describes in detail specific embodiments of the present invention. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
As shown in fig. 1, the present invention provides a monitoring method for a new energy vehicle battery pack, including:
1) periodically acquiring the electrical parameters of each battery pack, and respectively and correspondingly constructing an electrical performance curve chart of each battery pack according to the electrical parameters of the battery packs;
2) preliminarily screening out the battery pack with electrical property change according to the obtained electrical property curve graph;
3) feeding back the battery pack with the electrical property change, and reconstructing a corresponding electrical property curve chart after acquiring electrical parameters of the corresponding battery pack again;
4) comparing the obtained secondary electrical performance curve chart with the electrical performance curve chart obtained in the step 1), and if the difference value after comparison is within a preset range, taking the mean value of the two electrical performance curve charts to construct an electrical performance curve chart with a confirmed value; if the compared difference value is outside the preset range, the electrical property curves are collected again, the electrical property curves with obvious difference are removed according to the electrical property curves collected for three times, and an electrical property curve with a confirmed value is constructed according to the mean value of the electrical property curves collected for the remaining two times;
5) and carrying out battery load balancing or alarming operation according to the obtained correspondence of the confirmed value electrical property curve graph.
According to the design, after the electric parameters of each battery pack are acquired, corresponding judgment is carried out according to the electric performance curve diagram, meanwhile, on the premise of reducing the screening in the whole range, the effectiveness of the obtained electric performance curve diagram is further ensured based on the primary screening and the repeated operation of the electric performance curve diagram, and the monitoring accuracy of the battery pack is realized; further, the comparison is carried out according to the electric performance curve graph of the confirmed value obtained by comparison, so that the comparison accuracy is effectively improved, corresponding operation is carried out in a targeted manner, the stable realization of the overall performance of the battery is ensured, and the influence on other battery packs is greatly avoided.
In order to improve the referential property of the acquired data and facilitate the improvement of the controllability of the overall data, in a preferred embodiment of the invention, in the step 1), the periodically acquired electrical parameters of the battery pack are obtained by integrating electrical parameter data acquired for multiple days after the electrical parameter data of 1-2 hours are correspondingly acquired every day within 2-5 days, so as to obtain the periodically acquired electrical parameters of the battery pack.
In a further preferred embodiment, in order to effectively improve the detection accuracy and the discriminative detection degree of the battery performance, in step 1), the interval time between two adjacent periods is 10 to 15 days, and when the obtained electrical property curve graph has a threshold value not higher than the electrical property change setting and higher than the threshold value set by a good battery pack, the interval time between two adjacent periods is shortened to 5 to 8 days.
In another preferred embodiment of the present invention, the electrical parameters include battery capacity, battery internal resistance, and self-discharge rate. Further, the electrical parameters further include a charge termination voltage and a discharge termination voltage.
Further, in order to better improve the accurate division of the acquired electrical parameters, the threshold range screened in step 2) includes a good battery threshold, a critical threshold and an electrical property change threshold;
if at least one of the electrical parameters is located at the electrical property change threshold, determining that the battery pack has a positive electrical property change;
if at least two electrical parameters are at the critical threshold, determining that the battery pack has semi-definite electrical variation;
and if one of the electrical parameters is located at the critical threshold value and the other electrical parameters are located at the good battery pack threshold value, the battery pack is judged to be in a semi-accurate good state, and the interval time between two adjacent periods is shortened to 5-8 days.
The critical threshold is located between the good battery pack threshold and the electrical property change threshold, and through the above setting, the electrical parameters of the battery can be better and accurately divided, and adaptive classification processing can be performed according to the division result.
In a further preferred embodiment, the obtaining of the electrical parameter includes obtaining when the generator charges the battery pack, or when the battery pack supplies power to a load on the vehicle.
Of course, in order to effectively avoid the influence of the battery pack with certain fluctuation on other battery packs on the premise of avoiding frequent replacement operation, in a further preferred embodiment, in step 5), the battery packs with semi-certain electrical variation and good semi-certain state are subjected to load balancing operation;
and alarming the battery pack with the changed electrical property.
Furthermore, the battery pack with semi-exact electrical change cancels the periodical acquisition of electrical parameters, acquires the electrical parameters in real time every day, and adjusts the electrical parameter data into a processing mode in a corresponding state after entering into an exact electrical change or semi-exact good state correspondingly.
The preferred embodiments of the present invention have been described in detail, however, the present invention is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present invention within the technical idea of the present invention, and these simple modifications are all within the protection scope of the present invention.
It should be noted that the various technical features described in the above embodiments can be combined in any suitable manner without contradiction, and the invention is not described in any way for the possible combinations in order to avoid unnecessary repetition.
In addition, any combination of the various embodiments of the present invention is also possible, and the same should be considered as the disclosure of the present invention as long as it does not depart from the spirit of the present invention.
Claims (4)
1. A monitoring method for a new energy automobile battery pack is characterized by comprising the following steps:
1) periodically acquiring the electrical parameters of each battery pack, and respectively and correspondingly constructing an electrical performance curve chart of each battery pack according to the electrical parameters of the battery packs; in the step 1), the electric parameter of the battery pack is periodically acquired by integrating electric parameter data acquired for multiple days after electric parameter data of 1-2h are correspondingly acquired every day within 2-5 days to obtain the periodically acquired electric parameter of the battery pack; the interval time between two adjacent periods is 10-15 days; the electrical parameters comprise battery pack capacity, battery internal resistance and self-discharge rate;
2) preliminarily screening out the battery pack with electrical property change according to the obtained electrical property curve graph; setting a good battery pack threshold value, a critical threshold value and an electrical property change threshold value in the step 2), respectively comparing all electrical parameters with the good battery pack threshold value, the critical threshold value and the electrical property change threshold value,
in the comparison process, if at least one of the electrical parameters is located at the electrical property change threshold, determining that the battery pack has a positive electrical property change; if at least two electrical parameters are located at the critical threshold, determining that the battery pack has semi-definite electrical variation; if one of the electrical parameters is located at the critical threshold value and the other electrical parameters are located at the good battery pack threshold value, the battery pack is judged to be in a semi-accurate good state, and the interval time between two adjacent periods is shortened to 5-8 days; performing load balancing operation on the battery pack in the semi-exact electrical variation and semi-exact good state; alarming the battery pack with the changed electrical property;
3) feeding back the battery pack with the electrical property change, and reconstructing a corresponding electrical property curve chart after acquiring electrical parameters of the corresponding battery pack again;
4) comparing the electrical property curve chart obtained in the step 3) with the electrical property curve chart obtained in the step 1), and if the difference value after comparison is within a preset range, taking the average value of the two electrical property curve charts to construct an electrical property curve chart with an ensured value; if the compared difference value is outside the preset range, the electrical property curves are collected again, the electrical property curves with obvious difference are removed according to the electrical property curves collected for three times, and an electrical property curve with a confirmed value is constructed according to the mean value of the electrical property curves collected for the remaining two times;
5) and carrying out battery load balancing or alarming operation according to the obtained correspondence of the confirmed value electrical property curve graph.
2. The monitoring method of claim 1, wherein the electrical parameters further comprise an end-of-charge voltage and an end-of-discharge voltage.
3. A method of monitoring as claimed in claim 2, wherein the obtaining of the electrical parameter comprises obtaining when the generator is charging a battery pack, or when the battery pack is supplying power to an onboard load.
4. The monitoring method according to claim 1, wherein the periodic acquisition of electrical parameters is cancelled for a semi-deterministic electrically variable battery pack, the electrical parameters are acquired in real time every day, and the processing mode is adjusted to the corresponding state after the electrical parameter data correspondingly enters the deterministic electrically variable or semi-deterministic good state.
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Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5239286A (en) * | 1990-08-31 | 1993-08-24 | Fujitsu Limited | Battery alarm system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US8558508B2 (en) * | 2007-06-08 | 2013-10-15 | C & C Power, Inc. | Battery system and management method |
| JP2011113688A (en) * | 2009-11-25 | 2011-06-09 | Sanyo Electric Co Ltd | Method for detecting condition of secondary battery |
| JP6471463B2 (en) * | 2014-11-06 | 2019-02-20 | 日立化成株式会社 | Storage battery state monitoring system, storage battery state monitoring method, and storage battery state monitoring program |
| CN105759212B (en) * | 2016-01-27 | 2019-08-30 | 惠州市蓝微新源技术有限公司 | Battery pack failure simulation method and fault detection method |
| KR20170090137A (en) * | 2016-01-28 | 2017-08-07 | (주)캠시스 | Method for driving of Battery management system |
| CN106532165A (en) * | 2016-12-15 | 2017-03-22 | 安徽扬能电子科技有限公司 | Intelligent efficient control system for battery |
| CN110190649B (en) * | 2019-06-01 | 2020-12-29 | 深圳市永航新能源技术有限公司 | Battery capacity evaluation correction charging and discharging device and correction method |
| CN111142036B (en) * | 2019-12-18 | 2021-02-02 | 同济大学 | Lithium ion battery online rapid capacity estimation method based on capacity increment analysis |
| CN111525206A (en) * | 2020-04-29 | 2020-08-11 | 中国电力科学研究院有限公司 | Early warning method and early warning device for battery module |
| CN111555417B (en) * | 2020-07-10 | 2020-10-30 | 深圳小木科技有限公司 | New energy automobile and battery management method for supplying power to load on automobile by battery pack of new energy automobile |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US5239286A (en) * | 1990-08-31 | 1993-08-24 | Fujitsu Limited | Battery alarm system |
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