CN103630847A - Energy storage battery test method - Google Patents

Abstract

The invention relates to the field of power technologies, in particular to an energy storage battery test method. The method includes: recording probability of actual power of an energy storage battery in both a charge power subsection and a discharge power subsection; combining the power sections into a power section according to the probability of the actual power in the power subsections; calculating test power and test time for the actual power in the power section; subjecting the energy storage battery to preset times of charge and discharge tests according to the test power and test time. The energy storage battery test method has the advantages that the energy storage lithium battery pack can be provided with a cycle life test method based on typical operation conditions, performance aging condition of the energy storage lithium battery pack in three modes, namely track designated generation, wind-solar power smoothing and peak load shaving, can be tested, guidance is provided for the production, operation and maintenance of energy storage lithium batteries, and safe, stable and efficient operation of a lithium battery energy storage system is ensured.

Description

A kind of energy-storage battery detection method

Technical field

The present invention relates to power technology field, is a kind of energy-storage battery detection method concretely.

Background technology

Along with the problems such as intermittence, undulatory property and the quality of power supply that the development of new forms of energy brings, energy storage technology has obtained increasing concern.But the problem there will be for life-span of energy-storage battery, in using, does not have deep research, lacks corresponding research means yet.

Because energy-storage battery is that charging and discharging is used in Long time scale, existing battery performance test method is all inapplicable; And energy-storage battery needs the power parameter of test battery, test has been increased to difficulty.

Summary of the invention

For studying energy-storage battery life-span and performance, provide test method, solve the performance degradation problem that energy-storage battery may occur in being used in conjunction with process with wind-powered electricity generation, photovoltaic, for energy-storage battery is reasonable, effective use provides technical basis, the embodiment of the present invention has proposed a kind of energy-storage battery detection method, operating mode that can Reality simulation energy-storage battery detects energy-storage battery to be measured, obtains the information of energy-storage battery quality accurately.

The embodiment of the present invention provides a kind of energy-storage battery detection method, comprises,

Record the probability of real power in each the power segmentation of energy-storage battery charging and discharging;

According to the real power probability in power segmentation, described power segmentation is merged into power interval;

Calculate measured power and the test duration of real power in described power interval;

According to described measured power and test duration, energy-storage battery is carried out to the charging and discharging test of pre-determined number.

A further aspect of a kind of energy-storage battery detection method providing according to the embodiment of the present invention, described power is segmented into, and according to rated power number percent, is divided into n section, and described n is more than or equal to 2 positive integer.

Another further aspect of a kind of energy-storage battery detection method providing according to the embodiment of the present invention, described power is segmented into, and according to rated power number percent, is divided into n section, and described n is more than or equal to 2 positive integer.

Another further aspect of a kind of energy-storage battery detection method providing according to the embodiment of the present invention, at the real power probability according in power segmentation, described power segmentation is merged into power interval and further comprise, the power segmentation that in described power segmentation, real power probability is close is merged.

Another further aspect of a kind of energy-storage battery detection method providing according to the embodiment of the present invention, at the real power probability according in power segmentation, described power segmentation being merged into power interval further comprises, the power segmentation that is segmented into ，Jiang both sides, center real power probability almost symmetry with the high power of real power probability merges.

Another further aspect of a kind of energy-storage battery detection method providing according to the embodiment of the present invention, measured power and the test duration of calculating real power in described power interval further comprise, using the average power of real power in described power interval as described measured power:

$P_{\mathrm{ave}}=\frac{\underset{i=j}{\overset{k}{\mathrm{\Σ}}}({\mathrm{\α}}_i\×P_i)}{\underset{i=j}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\α}}_i},$

Wherein, α _iprobability for each power segmentation in power interval;

P _iintermediate value for each power segmentation in power interval;

P _aveaverage power for real power in power interval;

The described test duration is: $T=\underset{i=j}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\α}}_i\×T_{\mathrm{nor}};$

Wherein, α _iprobability for each power segmentation in power interval;

T _norfor accumulator system is specified, discharge and recharge the time;

T is the test period in power interval.

Another further aspect of a kind of energy-storage battery detection method providing according to the embodiment of the present invention, in the charging and discharging test of according to described measured power and test duration, energy-storage battery being carried out pre-determined number, further comprise, according to following formula, calculate test efficiency for charge-discharge η, by measured power and the test duration that discharges and recharges different phase in adjusting test process guarantee with actual motion in efficiency for charge-discharge η close:

$\frac{E_{\mathrm{dis}}}{E_{\mathrm{ch}}}=\frac{\underset{i=1}{\overset{M}{\mathrm{\Σ}}}(P_{\mathrm{disi}}\×T_{\mathrm{disi}})}{\underset{i=M+1}{\overset{2M}{\mathrm{\Σ}}}(P_{\mathrm{chi}}\×T_{\mathrm{chi}})}=\mathrm{\η}$

In formula: E _dis---the rechargeable energy of a circulation in test;

E _ch---the discharge energy of a circulation in test;

P _disiit is the measured power of i discharge range;

P _chiit is the measured power between i charging zone;

T _disiit is the test duration of i discharge range;

T _chiit is the test duration between i charging zone;

η is test efficiency for charge-discharge.

Another further aspect of a kind of energy-storage battery detection method providing according to the embodiment of the present invention, after the charging and discharging test of according to described measured power and test duration, energy-storage battery being carried out pre-determined number, further comprise, in discharge test, if described energy-storage battery voltage reaches final discharging voltage lower limit, and cycle index does not reach described pre-determined number, export defective result.

Another further aspect of a kind of energy-storage battery detection method providing according to the embodiment of the present invention, after the charging and discharging test of according to described measured power and test duration, energy-storage battery being carried out pre-determined number, further comprise, in charging measurement, after if each charging measurement finishes, when described energy-storage battery residual capacity is less than predetermined threshold, export defective result.

By the embodiment of the invention described above, the test method of the service life cycle based on typical operating condition can be provided for energy-storage lithium battery group, the ageing of performance situation of check energy-storage lithium battery following the tracks of that plan generating, honourable power are level and smooth, under three kinds of operational modes of peak load shifting, for production, operation, the maintenance of energy-storage lithium battery provides guidance, guarantee lithium battery energy storage battery security of system, stable, operation efficiently.

Accompanying drawing explanation

Read in conjunction with the following drawings the detailed description to embodiment, above-mentioned feature and advantage of the present invention, and extra feature and advantage, will be more readily apparent from.

Figure 1 shows that the process flow diagram of a kind of energy-storage battery detection method of inventive embodiments;

Figure 2 shows that the particular flow sheet of a kind of energy-storage battery detection method of the embodiment of the present invention;

Charging real power probability graph shown in Fig. 3 A;

Electric discharge real power probability graph shown in Fig. 3 B;

Fig. 4 A is depicted as charge power segmentation and merges actual charge power probability graph afterwards;

Fig. 4 B is depicted as discharge power segmentation and merges actual discharge power probability graph afterwards;

A schematic diagram discharging and recharging in test cycle shown in Fig. 5.

Embodiment

Description below can make any those skilled in the art utilize the present invention.The descriptor providing in specific embodiment and application is only example.The various extensions of embodiment as described herein and combination are apparent for those skilled in the art, and in the situation that not departing from the spirit and scope of the invention, the rule of the present invention's definition can be applied in other embodiment and application.Therefore, the embodiment shown in the present invention is not only limited to, the maximum magnitude consistent with principle shown in this paper and feature contained in the present invention.

Be illustrated in figure 1 the process flow diagram of a kind of energy-storage battery detection method of inventive embodiments.

Comprise step 101, record the probability of real power in each the power segmentation of energy-storage battery charging and discharging.

As one embodiment of the present of invention, described power is segmented into, and according to rated power number percent, is divided into n section, described n is more than or equal to 2 positive integer, for example, can be divided into one section by 1%-3%, and 4%-9% is divided into one section, 10%-12% is divided into one section, i.e. inhomogeneous segmented mode.Compare with even segmentation, the situation of the more realistic operate power of inhomogeneous segmentation, inhomogeneous often because the power that probability is close in actual motion distributes.Simultaneously, inhomogeneous segmented mode is also conducive to the test method in this invention to extend to the accumulator system under other operational mode or mixed running pattern, frequency modulation pattern for example, or honourable power is level and smooth and the mixed running pattern of peak load shifting, because accumulator system power distribution situation is different under different operational mode.Adopt inhomogeneous segmented mode, make the present invention there is greater flexibility, can meet in a wider context the needs of energy-storage lithium battery circular flow working condition measurement.

As one embodiment of the present of invention, described power is segmented into, and according to rated power number percent, is divided into n section, described n is more than or equal to 2 positive integer, can be preferably 20, can be divided into one section by 1%-5%, 6%-10% is divided into one section, and 11%-15% is divided into one section, i.e. even segmented mode.Compare with inhomogeneous segmented mode, evenly segmentation is conducive to simplify the statistic processes of actual motion power: first inhomogeneous segmented mode is to enumerate the probability that all performance numbers occur, then according to the distribution situation of probability, the close performance number of probability is divided into power segmentation, its power probabilistic method is complicated, and workload is large; Evenly segmented mode is first power to be distributed and carries out anticipation, thereby determines power segments n, then the power probability in different equal segments is added up, and its power probabilistic method is simple, and workload is little.

Step 102, merges into power interval according to the real power probability in power segmentation by described power segmentation.

As one embodiment of the present of invention, further comprise the power segmentation that in described power segmentation, real power probability is close is merged.

As one embodiment of the present of invention, further comprise, the power segmentation that is segmented into ，Jiang both sides, center real power probability almost symmetry with the high power of real power probability merges, and merges into power interval.Can short form test flow process by this step 1 aspect, numerous Sectional Test steps is reduced to a small amount of interval test procedure, be convenient to the realization of process of the test in actual hardware system, be conducive to improve the feasibility of test method, on the other hand, according to the standardization principle of probability statistics, power segmentation is merged into the process in power interval, also be to eliminate by the exert oneself process of " individual character " of statistics " minority " accumulator system, make power interval probability after merging can embody exert oneself " general character " of " majority " accumulator system, thereby make to adopt the trial curve that this statistical method obtains can be applicable to different capacity, lithium battery in the performance parameter accumulator systems such as capacity, improve the adaptability of test method of the present invention to different performance parameter accumulator system.

Step 103, measured power and the test duration of calculating real power in described power interval.

Wherein, using the average power of real power in described power interval as described measured power:

$P_{\mathrm{ave}}=\frac{\underset{i=j}{\overset{k}{\mathrm{\Σ}}}({\mathrm{\α}}_i\×P_i)}{\underset{i=j}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\α}}_i},$

Wherein, α _ifor the probability of each power segmentation in power interval, power interval merges normalizing by the segmentation of the i～k power;

P _ifor example, for the intermediate value of each power segmentation in power interval, 1%～5%P _npower in interval is 2.5%P _nor, described P _norfor the specified power that discharges and recharges;

P _aveaverage power for real power in power interval.

The described test duration is: $T=\underset{i=j}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\α}}_i\×T_{\mathrm{nor}};$

Wherein, α _iprobability for each power segmentation in power interval;

T _norfor accumulator system is specified, discharge and recharge the time;

T is the test period in power interval.

Step 104, carries out the charging and discharging test of pre-determined number according to described measured power and test duration to energy-storage battery.

As one embodiment of the present of invention, according to following formula, calculate test efficiency for charge-discharge η, by measured power and the test duration that discharges and recharges different phase in adjusting test process guarantee with actual motion in efficiency for charge-discharge η close;

$\frac{E_{\mathrm{dis}}}{E_{\mathrm{ch}}}=\frac{\underset{i=1}{\overset{M}{\mathrm{\Σ}}}(P_{\mathrm{disi}}\×T_{\mathrm{disi}})}{\underset{i=M+1}{\overset{2M}{\mathrm{\Σ}}}(P_{\mathrm{chi}}\×T_{\mathrm{chi}})}=\mathrm{\η}---\left(3\right)$

In formula: E _dis---the rechargeable energy of a circulation in test;

E _ch---the discharge energy of a circulation in test;

P _disiit is the measured power of i discharge range;

P _chiit is the measured power between i charging zone;

T _disiit is the test duration of i discharge range;

T _chiit is the test duration between i charging zone;

η is test efficiency for charge-discharge.

As one embodiment of the present of invention, in discharge test, if described energy-storage battery voltage reaches final discharging voltage lower limit, and cycle index do not reach described pre-determined number, exports defective result.

As one embodiment of the present of invention, in charging measurement, if after charging measurement finishes, when described energy-storage battery residual capacity is less than predetermined threshold, export defective result at every turn.

By the embodiment of the invention described above, the test method of the service life cycle based on typical operating condition can be provided for energy-storage lithium battery group, the ageing of performance situation of check energy-storage lithium battery following the tracks of that plan generating, honourable power are level and smooth, under three kinds of operational modes of peak load shifting, for production, operation, the maintenance of energy-storage lithium battery provides guidance, guarantee lithium battery energy storage battery security of system, stable, operation efficiently.

Be illustrated in figure 2 the particular flow sheet of a kind of energy-storage battery detection method of the embodiment of the present invention.

Comprise step 201, the rated power of energy-storage battery is divided into impartial n section, the probability that in record charging, discharge process, in each power segmentation, energy-storage battery real power (P) occurs, obtain charging real power probability graph as shown in Figure 3A, electric discharge real power probability graph as shown in Figure 3 B, lines in Fig. 3 A and Fig. 3 B represent the accumulated probability of charging and discharging power segmentation, be certain each segmentation probability sum below the segmentation of charge or discharge power, be used for embodying the variation tendency of power segmentation probability.Wherein, power segmentation in the present embodiment can be 20 sections, P _chnfor specified charge power, P _disnfor specified discharge power.

In another embodiment, the rated power of energy-storage battery can also be divided into unequal n section, for example the 1%-7% of rated power is divided into one section, the 8%-17% of rated power is divided into one section, by that analogy, the probability that in record charging, discharge process, in each power segmentation, energy-storage battery real power (P) occurs.

Step 202, merges power segmentation and forms power interval.

According to the situation of real power probability distribution in power segmentation, to power, segmentation merges, merging can be used following principle: (a) the power segmentation that between power segmentation, real power probability is close is merged, or the power segmentation that (b) is segmented into ，Jiang both sides, center real power probability almost symmetry with the high power of real power probability merges.The power segmentation of n decile is merged into behind M power interval, for example to Fig. 3 A charge power, segmentation merges actual charge power probability graph afterwards as shown in Figure 4 A, and to Fig. 3 B discharge power, segmentation merges actual discharge power probability graph afterwards as shown in Figure 4 B.

Wherein, as shown in Figure 4 A, 20 charge power segmentations can be merged into 1%～10%, 11%～40%, 41%～60%, 61%～90% 5 power interval; Wherein the real power probability of 1%～5%, 6～10% power segmentations is close, and (a) can merge into 1%～10% power interval on principle, and it is interval according to this principle, 91%～95%, 96～100% power segmentations to be merged into 91%～100% power; 11%～15%, 16%～20%, 21%～25%, 26%～30%, 31%～35%, 36%～40% power segmentation is centered by 21%～25%, 26%～30%, (b) merges into 11%～40% power interval on principle, and it is interval according to this principle, 41%～45%, 46%～50%, 51%～55%, 56%～60% power segmentation to be merged into 41%～60% power, 61%～65%, 66%～70%, 71%～75%, 76%～80%, 81%～85%, 86%～90% power segmentation is merged into 61%～90% power interval.In embodiment shown in Fig. 4 B, adopt identical method, discharge power segmentation can be merged into 1%～10%, 11%～40%, 41%～60%, 61%～90% 5 power interval.

Step 203, calculates after described merging measured power and the test duration of real power in power interval.

Calculate the average real power in each power interval, as the measured power value in this power interval, average power is obtained by formula (1).The probability in calculating different capacity interval and the specified product of time that discharges and recharges are as the test period of this measured power value, and test period is calculated by formula (2).

$P_{\mathrm{ave}}=\frac{\underset{i=j}{\overset{k}{\mathrm{\Σ}}}({\mathrm{\α}}_i\×P_i)}{\underset{i=j}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\α}}_i}---\left(1\right)$

In formula: α _ifor the probability of each power segmentation in power interval, normalizing is simplified by the segmentation of the i～k power in power interval;

P _ifor example, for the intermediate value of each power segmentation in power interval, 1%～5%P _npower in interval is 2.5%P _nor, described P _norfor the specified power that discharges and recharges.

P _aveaverage power for power interval.

$T=\underset{i=j}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\α}}_i\×T_{\mathrm{nor}}---\left(2\right)$

In formula: α _iprobability for each power segmentation in power interval;

T _norfor accumulator system is specified, discharge and recharge the time;

T is the test period in power interval.

Step 204, tests energy-storage battery group to be measured according to measured power and test duration.

Specifically can be referring to the step of following table 1.

The test procedure of table 1 simulation energy-storage battery group operating mode

Because test need to be carried out repeatedly charge and discharge cycles, for preventing occurring that battery is full of or emptying causes the situation that test stops to occur in cyclic test process, want the efficiency for charge-discharge in warranty test should be identical with the efficiency for charge-discharge η in actual motion, at an interior schematic diagram that discharges and recharges test cycle as shown in Figure 5, the rechargeable energy of test and discharge energy should meet formula (3).

$\frac{E_{\mathrm{dis}}}{E_{\mathrm{ch}}}=\frac{\underset{i=1}{\overset{M}{\mathrm{\Σ}}}(P_{\mathrm{disi}}\×T_{\mathrm{disi}})}{\underset{i=M+1}{\overset{2M}{\mathrm{\Σ}}}(P_{\mathrm{chi}}\×T_{\mathrm{chi}})}=\mathrm{\η}---\left(3\right)$

In formula: E _dis---the rechargeable energy of a circulation in test;

E _ch---the discharge energy of a circulation in test;

P _disiit is the measured power of i discharge range;

P _chiit is the measured power between i charging zone;

T _disiit is the test duration of i discharge range;

T _chiit is the test duration between i charging zone;

η is test efficiency for charge-discharge.

As one embodiment of the present of invention, can make the efficiency for charge-discharge η testing identical with actual efficiency for charge-discharge η by regulating difference to discharge and recharge measured power in the stage (measured power when measured power while comprising charging and electric discharge) and test duration (test duration of the test duration while comprising charging when discharging).

Step 205, according to the test figure of energy-storage battery to be measured, output test result.

A) in process of the test, energy-storage battery voltage reaches final discharging voltage lower limit, and cycle index does not reach 500 times, and output test result is defective;

B) after in process of the test, each cycle charging process finishes, energy-storage battery residual capacity is less than 80% of rated capacity, and output test result is defective;

C) cycle index reaches 500 times, and energy-storage battery voltage does not reach final discharging voltage, and after last charging process finishes, battery remaining power is greater than 80% of rated capacity, and output test result is qualified.

20kW * 2h energy-storage battery group of take is below example, and test method and the test procedure of typical operating condition simulated circulation test is described, the basic parameter of energy storage module is as shown in table 2.

Table 2 energy storage module basic parameter

(1) power distribution probability

The power that discharges and recharges of energy storage module is divided into 20 sections according to the number percent of rated power, and charge power segmentation situation is as shown in table 3, and discharge power segmentation situation is as shown in table 4.

Table 3 charge power segmentation probability

Power segmentation (kW)	Power intermediate value (kW)	Segmentation probability (%)	Accumulated probability (%)
				0.2～1.0	0.5	0.5	0.5
1.2～2.0	1.5	0.5	1.0
				2.2～3.0	2.5	5.0	6.0
3.2～4.0	3.5	4.5	10.5
				4.2～5.0	4.5	8.0	18.5
5.2～6.0	5.5	7.0	25.5
				6.2～7.0	6.5	6.0	31.5
7.2～8.0	7.5	5.5	37.0
				8.2～9.0	8.5	2.0	39.0
9.2～10.0	9.5	7.5	46.5

10.2～11.0	10.5	7.0	53.5
				11.2～12.0	11.5	2.5	56.0
12.2～13.0	12.5	5.0	61.0
				13.2～14.0	13.5	6.0	67.0
14.2～15.0	14.5	8.0	75.0
				15.2～16.0	15.5	9.0	84.0
16.2～17.0	16.5	7.0	91.0
				17.2～18.0	17.5	6.5	97.5
18.2～19.0	18.5	1.5	99.0
				19.2～20.0	19.5	1.0	100.0

Table 4 discharge power segmentation probability

Power segmentation (kW)	Power intermediate value (kW)	Segmentation probability (%)	Accumulated probability (%)
				0.2～1.0	0.5	1.0	1.0
1.2～2.0	1.5	1.5	2.5
				2.2～3.0	2.5	5.0	7.5
3.2～4.0	3.5	5.0	12.5
				4.2～5.0	4.5	9.0	21.5
5.2～6.0	5.5	7.5	29.0
				6.2～7.0	6.5	5.0	34.0
7.2～8.0	7.5	5.5	39.5
				8.2～9.0	8.5	2.5	42.0
9.2～10.0	9.5	6.0	48.0
				10.2～11.0	10.5	8.5	56.5
11.2～12.0	11.5	2.5	59.0
				12.2～13.0	12.5	5.5	64.5
13.2～14.0	13.5	6.5	71.0
				14.2～15.0	14.5	6.5	77.5
15.2～16.0	15.5	9.0	86.5

16.2～17.0	16.5	6.0	92.5
				17.2～18.0	17.5	5.5	98.0
18.2～19.0	18.5	1.0	99.0
				19.2～20.0	19.5	1.0	100.0

(2) calculating of power segmentation simplification and measured power, test duration

The principle merging according to power segmentation, the charge power of table 3 can be merged into 0.2～2.0kW, 2.2～8.0kW, 8.2～12.0kW, 12.2～18.0kW, five power intervals of 18.2～20.0kW, measured power, the test duration in each charge power interval are as shown in table 5, and each interval measured power after the discharge power segmentation of table 4 merges, test duration are as shown in table 6.

The interval test parameter table of table 5 charge power

Power interval (kW)	Measured power (kW)	Test duration (min)
			0.2～2.0	1.0	1.2
2.2～8.0	5.1	43.2
			8.2～12.0	10.0	22.8
12.2～18.0	15.1	49.8
			18.2～20.0	18.9	3.0

The interval test parameter table of table 6 discharge power

Power interval (kW)	Measured power (kW)	Test duration (min)
			0.2～2.0	1.1	3.0
2.2～8.0	5.0	44.4
			8.2～12.0	10.1	23.4
12.2～18.0	15.0	46.8
			18.2～20.0	19.0	2.4

(3) test procedure

The test procedure of 20 * 2h energy-storage lithium battery module is as shown in table 7, and the test efficiency for charge-discharge of energy storage module is 96%.

Table 720 * 2h energy-storage lithium battery group typical case operating condition cyclic test step

test procedure	content of the test
		1	energy-storage lithium battery group is filled to 40kWh, and in 25 ± 5 ℃ of environment standing 12h.
2	with 1.1kW electric discharge 3min.

3	with 5.0kW electric discharge 44.4min.
		4	with 10.1kW electric discharge 23.4min.
5	with 15.0kW electric discharge 46.8min.
		6	with 19.0kW electric discharge 2.4min.
7	with 1.0kW charging 1.2min.
		8	with 5.1kW charging 43.2min.
9	with 10.0kW charging 22.8min.
		10	with 15.1kW charging 49.8min.
11	with 18.9kW charging 3.0min.
		12	repeating step 2～11, until off-test.

(4) experimental result is exported

Test reaches following condition, and test stops:

A) in process of the test, cell voltage reaches 2.65V, and output test result is defective;

B) after each cycle charging process finishes, battery remaining power is less than 32kWh, and output test result is defective;

C) cycle index reaches 500 energy-storage battery voltages and does not reach final discharging voltage, and after last charging process finishes, battery remaining power is greater than 80% of rated capacity, and output test result is qualified.

By the embodiment of the invention described above, the test method of the service life cycle based on typical operating condition can be provided for energy-storage lithium battery group, the ageing of performance situation of check energy-storage lithium battery following the tracks of that plan generating, honourable power are level and smooth, under three kinds of operational modes of peak load shifting, for production, operation, the maintenance of energy-storage lithium battery provides guidance, guarantee lithium battery energy storage battery security of system, stable, operation efficiently.

Technician in association area will recognize that, embodiments of the invention have many possible modifications and combination, although form is slightly different, still adopts identical fundamental mechanism and method.For the object of explaining, aforementioned description is with reference to several specific embodiment.Yet above-mentioned illustrative discussion is not intended to precise forms exhaustive or that restriction is invented herein.Above, many modifications and variations are possible.Selected and described embodiment, in order to explain principle of the present invention and practical application thereof, uses so that those skilled in the art can utilize the modification for application-specific, the distortion of the present invention and each embodiment best.

Claims (9)

1. an energy-storage battery detection method, is characterized in that comprising,

Record the probability of real power in each the power segmentation of energy-storage battery charging and discharging;

According to the real power probability in power segmentation, described power segmentation is merged into power interval;

Calculate measured power and the test duration of real power in described power interval;

According to described measured power and test duration, energy-storage battery is carried out to the charging and discharging test of pre-determined number.

2. a kind of energy-storage battery detection method according to claim 1, is characterized in that, described power is segmented into, and according to rated power number percent, is divided into n section, and described n is more than or equal to 2 positive integer.

3. a kind of energy-storage battery detection method according to claim 1, is characterized in that, described power is segmented into, and according to rated power number percent, is divided into n section, and described n is more than or equal to 2 positive integer.

4. a kind of energy-storage battery detection method according to claim 1, it is characterized in that, at the real power probability according in power segmentation, described power segmentation is merged into power interval and further comprise, the power segmentation that in described power segmentation, real power probability is close is merged.

5. a kind of energy-storage battery detection method according to claim 1, it is characterized in that, at the real power probability according in power segmentation, described power segmentation being merged into power interval further comprises, the power segmentation that is segmented into ，Jiang both sides, center real power probability almost symmetry with the high power of real power probability merges.

6. a kind of energy-storage battery detection method according to claim 1, it is characterized in that, measured power and the test duration of calculating real power in described power interval further comprise, using the average power of real power in described power interval as described measured power:

$P_{\mathrm{ave}}=\frac{\underset{i=j}{\overset{k}{\mathrm{\Σ}}}({\mathrm{\α}}_i\×P_i)}{\underset{i=j}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\α}}_i},$

Wherein, α _iprobability for each power segmentation in power interval;

P _iintermediate value for each power segmentation in power interval;

P _aveaverage power for real power in power interval;

The described test duration is: $T=\underset{i=j}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\α}}_i\×T_{\mathrm{nor}};$

Wherein, α _iprobability for each power segmentation in power interval;

T _norfor accumulator system is specified, discharge and recharge the time;

T is the test period in power interval.

7. a kind of energy-storage battery detection method according to claim 1, it is characterized in that, in the charging and discharging test of according to described measured power and test duration, energy-storage battery being carried out pre-determined number, further comprise, according to following formula, calculate test efficiency for charge-discharge η, by measured power and the test duration that discharges and recharges different phase in adjusting test process guarantee with actual motion in efficiency for charge-discharge η close:

$\frac{E_{\mathrm{dis}}}{E_{\mathrm{ch}}}=\frac{\underset{i=1}{\overset{M}{\mathrm{\Σ}}}(P_{\mathrm{disi}}\×T_{\mathrm{disi}})}{\underset{i=M+1}{\overset{2M}{\mathrm{\Σ}}}(P_{\mathrm{chi}}\×T_{\mathrm{chi}})}=\mathrm{\η}$

In formula: E _dis---the rechargeable energy of a circulation in test;

E _ch---the discharge energy of a circulation in test;

P _disiit is the measured power of i discharge range;

P _chiit is the measured power between i charging zone;

T _disiit is the test duration of i discharge range;

T _chiit is the test duration between i charging zone;

η is test efficiency for charge-discharge.

8. a kind of energy-storage battery detection method according to claim 1, it is characterized in that, after the charging and discharging test of according to described measured power and test duration, energy-storage battery being carried out pre-determined number, further comprise, in discharge test, if described energy-storage battery voltage reaches final discharging voltage lower limit, and cycle index does not reach described pre-determined number, export defective result.

9. a kind of energy-storage battery detection method according to claim 1, it is characterized in that, after the charging and discharging test of according to described measured power and test duration, energy-storage battery being carried out pre-determined number, further comprise, in charging measurement, after if each charging measurement finishes, when described energy-storage battery residual capacity is less than predetermined threshold, export defective result.

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