CN105158697A - Method and device for evaluating state of energy storage unit - Google Patents
Method and device for evaluating state of energy storage unit Download PDFInfo
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- CN105158697A CN105158697A CN201510530742.XA CN201510530742A CN105158697A CN 105158697 A CN105158697 A CN 105158697A CN 201510530742 A CN201510530742 A CN 201510530742A CN 105158697 A CN105158697 A CN 105158697A
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Abstract
The invention provides a method and a device for evaluating the state of an energy storage unit. The method comprises the steps of acquiring the fault probability of an energy storage battery; calculating to obtain the current evaluation state of the energy storage unit based on the fault probability; and dealing with the energy storage unit based on the evaluation state. According to the technical scheme of the invention, the method for evaluating the states of the energy storage units of lithium batteries manufactured by the same manufacturer is provided based on the binomial probability distribution of battery faults. On the basis of obtained evaluation results, a state maintenance strategy is provided as the basis for reasonably arranging the maintenance process of energy storage batteries. Therefore, the maintenance efficiency of energy storage units is improved, and the maintenance workload of the maintenance personnel is lightened at the same time.
Description
Technical field
The present invention relates to energy-storage battery evaluation areas, espespecially a kind of method of energy-storage units state estimation and device.
Background technology
Along with the continuous increase of wind-powered electricity generation, photovoltaic engineering, energy storage technology have also been obtained fast development as suppression generation of electricity by new energy undulatory property, intermittent effective means, and wherein lithium battery takes the lead in obtaining application in energy storage field as more ripe electrochemical techniques.Lithium battery energy storage battery power station is made up of lithium battery energy storage battery unit, and energy-storage units is made up of electric battery string, and electric battery string is made up of a large amount of battery series-parallel connection, as shown in Figure 1.Accurate grasp energy-storage units state, reasonable arrangement energy-storage units overhauls, and for shortening energy storage device power off time, improves maintainer's work efficiency significant.
Summary of the invention
The object of the invention is the feature occurred for energy-storage battery fault, a kind of method and device of the energy-storage units state estimation based on binomial probability distribution are proposed, and propose a kind of repair based on condition of component strategy on this basis, for the maintenance of reasonable arrangement energy-storage battery provides reference.
For reaching above-mentioned purpose, the present invention specifically provides a kind of method of energy-storage units state estimation, and described method comprises: the probability of malfunction obtaining energy-storage battery; Obtained the evaluation status of current energy-storage units by following formulae discovery according to described probability of malfunction:
according to described evaluation status, described energy-storage units is processed; In above formula: P
ufor the evaluation status of energy-storage units, K is all energy-storage battery sums in current energy-storage units, and y is the energy-storage battery quantity of the prior fault of described energy-storage units evaluation status, P
bfor the probability of malfunction of energy-storage battery, C is binomial probability distribution function.
In the method for above-mentioned energy-storage units state estimation, preferably comprise, the probability of malfunction of described energy-storage battery is obtained by following formula:
in above formula: P
bfor the probability of malfunction of energy-storage battery, S is the sum of energy-storage battery, and x is the energy-storage battery quantity that described energy-storage battery calculates the prior fault of probability of malfunction.
In the method for above-mentioned energy-storage units state estimation, preferably comprise, described evaluation status and threshold values are compared, determine to overhaul described energy-storage units or safeguard according to comparative result or without overhaul plan.
The present invention also provides a kind of device of energy-storage units state estimation, and described device comprises: data module, processing module and evaluation module; Described data module, for obtaining the probability of malfunction of energy-storage battery and storing; Described processing module, for being obtained the evaluation status of current energy-storage units by following formulae discovery according to described probability of malfunction:
described evaluation module, for according to described evaluation status, exports the processing scheme of described energy-storage units.
In the device of above-mentioned energy-storage units state estimation, preferably, described data module comprises computing module; Described computing module is used for the probability of malfunction being obtained described energy-storage battery by following formula:
in above formula: P
bfor the probability of malfunction of energy-storage battery, S is the sum of energy-storage battery, and x is the energy-storage battery quantity that described energy-storage battery calculates the prior fault of probability of malfunction.
In the device of above-mentioned energy-storage units state estimation, preferably, described evaluation module comprises comparing module; Described comparing module is used for described evaluation status and threshold values to compare, and determines to overhaul described energy-storage units or safeguard or without overhaul plan according to comparative result.
Energy-storage units is the most important equipment of energy-accumulating power station, accurately grasps energy-storage units state, reasonable arrangement energy-storage units turnaround plan, for raising energy-storage units overhaul efficiency, alleviates maintainer's workload significant.The present invention is directed to the lithium battery energy storage battery unit be made up of same producer battery, give a kind of energy-storage units state evaluating method based on the distribution of battery failures binomial probability, and on the basis of assessment, provide a kind of repair based on condition of component strategy, for the maintenance of reasonable arrangement energy-storage battery provides foundation.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms a application's part, does not form limitation of the invention.In the accompanying drawings:
Fig. 1 is existing energy-storage units schematic diagram;
Fig. 2 is the schematic flow sheet of the method for energy-storage units state estimation provided by the present invention;
Fig. 3 is the structural representation of the device of energy-storage units state estimation provided by the present invention.
Embodiment
For making the object of the embodiment of the present invention, technical scheme and advantage clearly understand, below in conjunction with embodiment and accompanying drawing, the present invention is described in further details.At this, schematic description and description of the present invention is for explaining the present invention, but not as a limitation of the invention.
The present invention specifically provides a kind of method of energy-storage units state estimation, specifically please refer to shown in Fig. 2, and described method comprises: S101 obtains the probability of malfunction of energy-storage battery; S102 obtains the evaluation status of current energy-storage units by following formulae discovery according to described probability of malfunction:
s103 processes described energy-storage units according to described evaluation status; In above formula: P
ufor the evaluation status of energy-storage units, K is all energy-storage battery sums in current energy-storage units, and y is the energy-storage battery quantity of the prior fault of described energy-storage units evaluation status, P
bfor the probability of malfunction of energy-storage battery, C is binomial probability distribution function.
In the method for above-mentioned energy-storage units state estimation, the probability of malfunction of described energy-storage battery is obtained by following formula:
in above formula: P
bfor the probability of malfunction of energy-storage battery, S is the sum of energy-storage battery, and x is the energy-storage battery quantity that described energy-storage battery calculates the prior fault of probability of malfunction.In the above-described embodiments, when after the described evaluation status of acquisition, described evaluation status and threshold values can compare by staff, determine to overhaul described energy-storage units or safeguard or without overhaul plan according to comparative result.
Appraisal procedure is applied in real work and there is good Evaluated effect, brief description is done below with an instantiation, relevant technical staff in the field is when known, and only example is only more clear interpretation appraisal procedure of the present invention below, not as limitation of the present invention; By appraisal procedure provided by the invention, first relevant technical staff in the field calculates the probability of malfunction P of same producer energy-storage battery
b, the such as battery failures probability of manufacturer belonging to the current battery needing to detect; Then according to battery failures probability P
b, calculate the probability of malfunction P of energy-storage units further
u, finally according to energy-storage units probability of malfunction P
uassess energy-storage units state, and perform corresponding Strategies of Maintenance, concrete estimation flow is as follows:
Suppose that there is N platform lithium battery energy storage battery unit in energy-accumulating power station producer, every platform energy-storage units has M Battery pack group string, every Battery pack group string is made up of L battery series-parallel connection, then the total S of this producer's energy-storage battery is N × M × L, the battery overhauled before the T moment as this producer be x only, then this producer's energy-storage battery at the probability of malfunction in T moment as formula 1.Because energy-accumulating power station number of batteries S is general more than 10000, therefore think that the probability of this producer's single cell malfunctions is also P
b.
Because the probability of same producer cell malfunctions is identical, and it is separate during cell malfunctions, if the fault of energy-storage units determines primarily of battery failures, so for the energy-storage units containing K=M × L battery, when the battery of this energy-storage units maintenance before the T moment is y, the probability that this energy-storage units broke down in the T moment should meet binomial distribution, calculates as formula 2.
When the probability P that energy-storage units fault occurs
uwhen reaching the threshold value specified in the lithium battery energy storage battery location mode assessment result of table 1 and Strategies of Maintenance, the state of energy-storage units is assessed as health, inferior health, serious, severe respectively, and performs corresponding Strategies of Maintenance.
Table 1
Probability of malfunction threshold value (%) | Be less than a | a~b | b~c | More than d |
Condition evaluation results | Healthy | Inferior health | Seriously | Badly |
Repair based on condition of component strategy | Normal operation | Strengthen making an inspection tour | Overhaul during periodic maintenance | Interruption maintenance immediately |
The present invention also provides a kind of device of energy-storage units state estimation, specifically please refer to shown in Fig. 3, and described device comprises: data module 201, processing module 202 and evaluation module 203; Described data module 201, for obtaining the probability of malfunction of energy-storage battery and storing; Described processing module 202, for being obtained the evaluation status of current energy-storage units by following formulae discovery according to described probability of malfunction:
described evaluation module 203, for according to described evaluation status, exports the processing scheme of described energy-storage units.
In the above-described embodiments, described data module 201 can be a database or other storeies, after the battery failures probability storage of the generation manufacturer by all energy-storage batteries that will detect, calculates in real time for post-processed module.Described processing module can be the chip that has computing power, after typing present battery detects prior fault number of batteries, can obtain the probability of malfunction of current energy-storage units, obtain the evaluation status of this energy-storage units with this according to the computing formula of above-mentioned evaluation status.
Further, described data module 201 comprises computing module; Described computing module is used for the probability of malfunction being obtained described energy-storage battery by following formula:
in above formula: P
bfor the probability of malfunction of energy-storage battery, S is the sum of energy-storage battery, and x is the energy-storage battery quantity that described energy-storage battery calculates the prior fault of probability of malfunction.
In the above-described embodiments, described evaluation module 203 comprises comparing module; Described comparing module is used for described evaluation status and threshold values to compare, and determines to overhaul described energy-storage units or safeguard or without overhaul plan according to comparative result; Relevant technical staff in the field works as known above-mentioned comparing module also can be integrated into a microprocessor with described evaluation module.
Energy-storage units is the most important equipment of energy-accumulating power station, accurately grasps energy-storage units state, reasonable arrangement energy-storage units turnaround plan, for raising energy-storage units overhaul efficiency, alleviates maintainer's workload significant.The present invention is directed to the lithium battery energy storage battery unit be made up of same producer battery, give a kind of energy-storage units state evaluating method based on the distribution of battery failures binomial probability, and on the basis of assessment, provide a kind of repair based on condition of component strategy, for the maintenance of reasonable arrangement energy-storage battery provides foundation; Below with an instantiation, brief description is done to above-mentioned apparatus for evaluating again:
Certain energy-accumulating power station has 12 Z producer lithium battery energy storage battery unit, every platform energy-storage units has 6 Battery pack group strings, every Battery pack group string is made up of 1224 battery series-parallel connections, then this producer's energy-storage battery add up to 88128, the battery that Z producer overhauled before 1 day May in 2015 is 100, and it is 100 ÷ 88128 × 100%=0.1135% that staff first can obtain this producer's energy-storage battery at the probability of malfunction on May 1st, 2015 by above-mentioned computing module.And described probability of malfunction is stored in data module.
Before 1 day May in 2015, the quantity of Z producer C001 energy-storage units maintenance battery is 10, and this energy-storage units number of batteries is 7344, and staff first can obtain by above-mentioned processing module the probability that on May 1st, 2015, this energy-storage units broke down and be
The Z producer energy-storage units probability of malfunction threshold value (the Z producer lithium battery energy storage battery location mode assessment threshold value of table 2) stored in by evaluation module, then the condition evaluation results of C001 energy-storage units is serious, then notify that staff carries out integrated testability and overhauls described energy-storage units when periodic maintenance.
Table 2
Probability of malfunction threshold value (%) | Be less than 5 | 5~10 | 10~15 | More than 15 |
Condition evaluation results | Healthy | Inferior health | Seriously | Badly |
Repair based on condition of component strategy | Normal operation | Strengthen making an inspection tour | Overhaul during periodic maintenance | Interruption maintenance immediately |
Above-described specific embodiment; object of the present invention, technical scheme and beneficial effect are further described; be understood that; the foregoing is only specific embodiments of the invention; the protection domain be not intended to limit the present invention; within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (6)
1. a method for energy-storage units state estimation, is characterized in that, described method comprises:
Obtain the probability of malfunction of energy-storage battery;
Obtained the evaluation status of current energy-storage units by following formulae discovery according to described probability of malfunction:
According to described evaluation status, described energy-storage units is processed;
In above formula: P
ufor the evaluation status of energy-storage units, K is all energy-storage battery sums in current energy-storage units, and y is the energy-storage battery quantity of the prior fault of described energy-storage units evaluation status, P
bfor the probability of malfunction of energy-storage battery, C is binomial probability distribution function.
2. the method for energy-storage units state estimation according to claim 1, is characterized in that, the probability of malfunction of described energy-storage battery is obtained by following formula:
In above formula: P
bfor the probability of malfunction of energy-storage battery, S is the sum of energy-storage battery, and x is the energy-storage battery quantity that described energy-storage battery calculates the prior fault of probability of malfunction.
3. the method for energy-storage units state estimation according to claim 1, it is characterized in that, describedly according to described evaluation status, pack processing is carried out to described energy-storage units and contain: described evaluation status and threshold values are compared, determine to overhaul described energy-storage units or safeguard according to comparative result or without overhaul plan.
4. a device for energy-storage units state estimation, is characterized in that, described device comprises: data module, processing module and evaluation module;
Described data module, for obtaining the probability of malfunction of energy-storage battery and storing;
Described processing module, for being obtained the evaluation status of current energy-storage units by following formulae discovery according to described probability of malfunction:
Described evaluation module, for according to described evaluation status, exports the processing scheme of described energy-storage units;
In above formula: P
ufor the evaluation status of energy-storage units, K is all energy-storage battery sums in current energy-storage units, and y is the energy-storage battery quantity of the prior fault of described energy-storage units evaluation status, P
bfor the probability of malfunction of energy-storage battery, C is binomial probability distribution function.
5. the device of energy-storage units state estimation according to claim 4, is characterized in that, described data module comprises computing module; Described computing module is used for the probability of malfunction being obtained described energy-storage battery by following formula:
In above formula: P
bfor the probability of malfunction of energy-storage battery, S is the sum of energy-storage battery, and x is the energy-storage battery quantity that described energy-storage battery calculates the prior fault of probability of malfunction.
6. the device of energy-storage units state estimation according to claim 4, is characterized in that, described evaluation module comprises comparing module; Described comparing module is used for described evaluation status and threshold values to compare, and determines to overhaul described energy-storage units or safeguard or without overhaul plan according to comparative result.
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