An adjustment method for temperature control strategy of energy storage system

Abstract

The application relates to an adjustment method for a temperature control strategy of an energy storage system, S1, a plurality of standard working conditions are set in a test system, and a given heat dissipation strategy is formulated to form a basic database; S2, actual working conditions, expected parameters and the weights of the expected parameters are input; S3, the test system collects actual parameters of the energy storage system multiple times within a set time; S4, in combination with the basic database, the next time parameters of the energy storage system are predicted, and the expected parameters are compared; whether the actual parameters and the expected parameters exceed a set threshold value is judged, if yes, step S5 is entered, and if not, step S6 is entered; S5, the heat dissipation strategy is adjusted, and a temperature control device is controlled to adjust the adjustment parameters, and step S3 is returned; S6, heat dissipation operation is performed according to the given heat dissipation strategy. According to the adjustment of the heat dissipation strategy according to the actual working conditions, the heat dissipation strategy adjustment formulation for the actual working conditions is realized, and the service life and the healthy operation of the whole system are greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the use of energy storage systems, in particular to an adjustment method for temperature control strategy of energy storage system. BACKGROUND

[0002] The existing energy storage system needs to test its heat dissipation before leaving the factory, needs to test various working conditions, and the existing heat dissipation strategy is mostly based on simulation, theoretical calculation or experience, and then the corresponding test results are obtained through testing, if the results do not meet the expectations, then adjust the heat dissipation strategy and test again; The current energy storage heat dissipation test is to test the defined working condition, but it cannot fully calibrate different factors such as rate, DOD, and environment temperature, and cannot flexibly handle heat dissipation test under other working conditions; At the same time, the existing heat dissipation strategy only pays attention to the charging and discharging data, temperature data and battery cell heat dissipation demand of the system, and does not consider the heat dissipation problem from the perspective of the system, does not monitor the system-level data, and does not get real-time feedback, so as to adjust the heat dissipation strategy in real time. SUMMARY

[0003] The technical problem to be solved by the present application is to provide an adjustment method for temperature control strategy of energy storage system, which realizes the adjustment of the heat dissipation strategy of the energy storage system while testing, pays attention to the system-level data and adjusts the heat dissipation strategy, and greatly improves the service life and healthy operation of the whole system.

[0004] The technical solution adopted by the present application to solve the technical problem is: an adjustment method for temperature control strategy of energy storage system, the steps of the method are,

[0005] S1, multiple standard working conditions are set in the test system, in each standard working condition, the basic parameters of the energy storage system are monitored and recorded, and the given heat dissipation strategy is formulated for each standard working condition, and the basic parameters in this place and the corresponding given heat dissipation strategy form a basic database;

[0006] S2, the test system and the energy storage system start to work, input the actual working condition, input the expected parameters of the energy storage system and the weight of each expected parameter; The actual working condition is one of the multiple standard working conditions or a non-standard working condition, when it is a non-standard working condition, the given heat dissipation strategy of the standard working condition closest to the non-standard working condition is used as the heat dissipation strategy;

[0007] S3, under the actual working condition, the test system collects the actual parameters of the energy storage system multiple times within a set time;

[0008] S4, in combination with the actual parameters collected in step S3 and the basic database, the energy storage system is predicted to judge the next time each parameter and compared with the expected parameters in step S2; determine whether the difference between the actual parameters and the expected parameters exceeds the set threshold, if yes, go to step S5, if not, go to step S6;

[0009] S5, the test system adjusts the heat dissipation strategy of the energy storage system and sends a control signal to the temperature control device, and the temperature control device adjusts the parameters that need to be adjusted, and then returns to step S3;

[0010] S6, the energy storage system performs heat dissipation operation according to the established heat dissipation strategy.

[0011] Further specifically, the various basic parameters in step S1 include the charge-discharge curve, the maximum temperature, the minimum temperature, the temperature difference, the auxiliary power consumption, and the ambient temperature.

[0012] Further specifically, the expected parameters in step S2 include the expected maximum temperature, the expected minimum temperature, the expected temperature difference, and the expected auxiliary power consumption.

[0013] Further specifically, the actual parameters in step S3 include the charge-discharge curve, the maximum temperature, the minimum temperature, the temperature difference, the auxiliary power consumption, and the ambient temperature.

[0014] Further specifically, the parameters that need to be adjusted in step S5 include at least one of the maximum temperature, the minimum temperature, the temperature difference, and the cumulative power consumption.

[0015] Further specifically, the method for adjusting the heat dissipation strategy of the energy storage system in step S5 is,

[0016] S51, determine the weight proportion of each expected parameter;

[0017] S52, according to the weight proportion of each expected parameter, the test system carries out weighted algorithm to obtain processing data;

[0018] S53, the energy storage system sends a control signal to the temperature control device according to the processing data.

[0019] Further specifically, in the actual working condition, under the working condition that a single expected parameter is strictly required, the weight proportion of the single expected parameter is a, and the sum of the weight proportions of the remaining expected parameters is b, wherein a+b=100%.

[0020] Further specifically, in the actual working condition, under the working condition that multiple expected parameters are strictly required, the weight proportions of the multiple expected parameters are c1, c2, c3……, cn respectively, and the sum of the weight proportions of the remaining expected parameters is d, wherein c1+c2+c3……+cn+d=100%.

[0021] Further specifically, the standard working condition and the corresponding predetermined heat dissipation strategy are as follows,

[0022] Standard working condition one: 0.25P charging and discharging, and the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 30 DEG C and turned off at 28 DEG C;

[0023] Standard working condition two: 0.5P charging and discharging, and the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 30 DEG C and turned off at 28 DEG C;

[0024] Standard working condition three: 0.5P charging and discharging with an interval of 1H, and the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 32 DEG C and turned off at 30 DEG C;

[0025] Standard working condition four: 0.5P charging and discharging with an interval of 2H, and the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 34 DEG C and turned off at 32 DEG C;

[0026] Standard working condition five: 0.33P charging and discharging, and the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 30 DEG C and turned off at 28 DEG C;

[0027] Standard working condition six: 0.1P charging and 0.33P discharging, and the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 34 DEG C and turned off at 30 DEG C when charging, and is turned on at 32 DEG C and turned off at 30 DEG C when discharging;

[0028] Standard working condition seven: 0.33P charging and 0.5P discharging, and the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 32 DEG C and turned off at 28 DEG C when charging, and is turned on at 30 DEG C and turned off at 28 DEG C when discharging.

[0029] Further specifically, the heat dissipation strategy formed after the temperature control device adjusts the actual parameters in the step S5 is stored into the basic database as a new standard working condition.

[0030] The present application has the following beneficial effects: through the use of the above method, the present application can adjust the heat dissipation strategy in real time according to the actual working condition, so as to realize the adjustment of the heat dissipation strategy for the actual working condition, adjust the heat dissipation strategy of the energy storage system while testing, pay attention to the system-level data and adjust the heat dissipation strategy, greatly improve the service life and healthy operation of the whole system, reduce the auxiliary power consumption of the system, and improve the system efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 is a flow chart of the present application;

[0032] Figure 2 is a charging and discharging curve diagram of an embodiment in the present application;

[0033] Figure 3 is a charging and discharging curve diagram of standard working condition three in the present application;

[0034] Figure 4 is the charge-discharge curve diagram of the standard working condition six in the application;

[0035] Figure 5 is the temperature curve diagram of the embodiment in the application;

[0036] Figure 6 is the charge-discharge curve diagram of the phased heat dissipation of the embodiment in the application. DETAILED DESCRIPTION

[0037] The technical solutions of the application will be described clearly and completely below with reference to the drawings. Obviously, the described embodiments are part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0038] In the description of the application, it should be noted that the orientations or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" and the like are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the application and simplifying the description, and therefore cannot be understood as indicating or implying that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the application. In addition, the terms "first", "second", "third" are only for the purpose of description, and cannot be understood as indicating or implying relative importance.

[0039] In the description of the application, it should be noted that, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or the internal communication of two elements. For those skilled in the art, the specific meaning of the above terms in the application can be understood according to the specific circumstances. In addition, the technical features involved in the different embodiments of the application described below can be combined with each other as long as they do not conflict with each other.

[0040] The application provides an adjustment method for temperature control strategy of an energy storage system, which can be applied to the adjustment and adaptation of the heat dissipation strategy of the energy storage system before it is shipped, and can also be applied to the designation of the heat dissipation strategy in the development process of the energy storage system; the energy storage system is connected to a corresponding test platform, and the adjustment method of the application is embedded in the test platform; since the components of each energy storage system will have corresponding differences, there will be no two identical energy storage systems

[0041] As Figure 1An adjustment method for a temperature control strategy of an energy storage system is shown, and the steps of the method are,

[0042] S1, first, the test platform needs to be built in the basic data, so set multiple standard working conditions in the test system of the test platform, and in each standard working condition, monitor and record the basic parameters of the energy storage system, and formulate the established cooling strategy for each standard working condition, so that the basic parameters and the corresponding established cooling strategy form a basic database to facilitate later calling; each basic parameter in each standard working condition can be measured in real time, or input into the test system according to experience; wherein, the basic parameters include the charge-discharge curve, the maximum temperature, the minimum temperature, the temperature difference, the auxiliary power consumption, the power consumption, and the ambient temperature.

[0043] The standard working condition here can be,

[0044] Standard working condition one: the maximum temperature is 31℃, the minimum temperature is 29℃, the temperature difference is 2℃, the ambient temperature is 35℃, and the charge-discharge is 0.25P, and the corresponding established cooling strategy is that the temperature control device is opened at 30℃ and closed at 28℃;

[0045] Standard working condition two: the maximum temperature is 32.5℃, the minimum temperature is 31℃, the temperature difference is 1.5℃, the ambient temperature is 25℃, and the charge-discharge is 0.25P, and the corresponding established cooling strategy is that the temperature control device is opened at 32℃ and closed at 30℃;

[0046] Standard working condition three: the maximum temperature is 37℃, the minimum temperature is 34℃, the temperature difference is 3℃, the ambient temperature is 25℃, and the charge-discharge is 0.5P, and the corresponding established cooling strategy is that the temperature control device is opened at 30℃ and closed at 28℃;

[0047] Standard working condition four: the maximum temperature is 36℃, the minimum temperature is 33℃, the temperature difference is 2℃, the ambient temperature is 25℃, and the charge-discharge is 0.5P, and the interval is 1H, and the corresponding established cooling strategy is that the temperature control device is opened at 32℃ and closed at 30℃;

[0048] Standard working condition five: the maximum temperature is 35℃, the minimum temperature is 33℃, the temperature difference is 2℃, the ambient temperature is 25℃, and the charge-discharge is 0.5P, and the interval is 2H, and the corresponding established cooling strategy is that the temperature control device is opened at 34℃ and closed at 32℃;

[0049] Standard working condition six: the maximum temperature is 32℃, the minimum temperature is 30℃, the temperature difference is 2℃, the ambient temperature is 25℃, and the charge-discharge is 0.33P, and the corresponding established cooling strategy is that the temperature control device is opened at 31℃ and closed at 29℃;

[0050] Standard working condition seven: 0.1P charging, 0.33P discharging, and the corresponding established cooling strategy is that the temperature control device is opened at 34℃ and closed at 30℃ when charging, and is opened at 32℃ and closed at 30℃ when discharging.

[0051] Standard working condition eight: 0.33P charging, 0.5P discharging, the corresponding predetermined heat dissipation strategy is that the temperature control device is started at 32℃ and stopped at 28℃ when charging, and is started at 30℃ and stopped at 28℃ when discharging;

[0052] S2, the test system and the energy storage system start to work, input actual working conditions, input each expected parameter of the energy storage system and the weight of each expected parameter into the test system; the actual working condition can be one of the plurality of standard working conditions, or other non-standard working conditions; when it is a standard working condition, the corresponding standard working condition number can be directly input according to the parameters of the energy storage system at this time; when it is a non-standard working condition, the related parameters of the non-standard working condition need to be input, and the related parameters of the non-standard working condition are compared with the related basic parameters of the standard working condition, and a standard working condition closest to the non-standard working condition is selected, and the predetermined heat dissipation strategy of the standard working condition is used as the heat dissipation strategy of the non-standard working condition; wherein the expected parameters include expected maximum temperature, expected minimum temperature, expected temperature difference, expected auxiliary power consumption.

[0053] S3, under the actual working condition, the test system collects the actual parameters of the energy storage system multiple times within a set time, and the actual parameters are charge-discharge curves, maximum temperature, minimum temperature, temperature difference, auxiliary power consumption and environmental temperature; wherein, since the system management has four aspects of parameters, the narrow working interval of the battery cell is the key to determine the maximum temperature, minimum temperature and temperature difference, and the power consumption is an important factor affecting the system efficiency, so the four aspects need to be constrained to adjust the whole system, and at least one of the maximum temperature, minimum temperature, temperature difference and cumulative power consumption needs to be adjusted, which can be selectively adjusted according to actual needs.

[0054] S4, the actual parameters collected in step S3 are combined with the basic database to predict the parameters of the energy storage system at the next moment and compared with the expected parameters in step S2; when the actual working condition is a standard working condition, the actual parameters at the next moment can be calculated according to the corresponding standard working condition in the basic database; when the actual working condition is a non-standard working condition, the actual parameters at the next moment can be calculated according to the related parameters of the non-standard working condition input in step S2; it is judged whether the actual parameters deviate from the expected parameters, that is, whether the set threshold is exceeded, if yes, step S5 is entered, if not, step S6 is entered.

[0055] S5, the test system adjusts the heat dissipation strategy of the energy storage system and sends a control signal to the temperature control device, the temperature control device adjusts the parameters that need to be adjusted, and then returns to step S3;

[0056] The method for adjusting the heat dissipation strategy of the energy storage system is as follows:

[0057] S51, determining the weight proportion of each expected parameter; if the actual working condition is a working condition in which a single expected parameter is strictly required, the weight proportion of the single expected parameter is a, and the sum of the weight proportions of the remaining expected parameters is b, wherein a+b=100%, 50%a<95%; if the actual working condition is a working condition in which multiple expected parameters are strictly required, the weight proportions of the multiple expected parameters are c1, c2, c3,..., and cn, respectively, and the sum of the weight proportions of the remaining expected parameters is d, wherein c1+c2+c3+...+cn+d=100%.

[0058] S52, obtaining processing data by performing a weighting algorithm on the test system according to the weight proportions of the expected parameters;

[0059] S53, sending a control signal to the temperature control device by the energy storage system according to the processing data;

[0060] The heat dissipation strategy formed after the temperature control device adjusts the parameters is stored in the basic database and the energy storage system as a standard working condition.

[0061] S6, performing a heat dissipation operation according to the established heat dissipation strategy by the energy storage system.

[0062] When the actual working condition is the standard working condition, the heat dissipation strategy can be directly executed according to the heat dissipation strategy stored in the database.

[0063] The adjustment method for the non-standard working condition is described in detail below.

[0064] Example, the actual working condition is a non-standard working condition:

[0065] First, the basic parameters of the actual working condition of the energy storage system are input into the test system, such as the charge-discharge curve as shown in Figure 2 , the ambient temperature is set to 25°C, and other parameters are close to the basic parameters of the standard working conditions three and six (the charge-discharge curves thereof are Figure 3 and Figure 4 , respectively), one of which is selected to determine the initial heat dissipation strategy as the heat dissipation strategy of the standard working condition six; the expected parameters of the energy storage system are: the expected maximum temperature is 35°C, the expected minimum temperature is 33°C, the expected temperature difference is 2°C, and the expected auxiliary power consumption is 0.15 KWh. The weight of each expected parameter and the weight of each expected parameter are input into the test system, wherein the weight of each expected parameter is 70% for the maximum temperature and 30% for the expected auxiliary power consumption.

[0066] Then, the energy storage system and the test system start to work, and the test system collects each actual parameter of the energy storage system at a period of 1 minute, and collects for 10 minutes, and the actual parameter is a temperature curve as shown inFigure 5 As shown, the maximum temperature is 29℃, the minimum temperature is 25℃, the temperature difference is 4℃, and the auxiliary power consumption is 0KWh; the actual parameters of the next 10 minutes are calculated by combining the actual parameters with the basic parameters of the sixth standard working condition in the basic database, and the charge-discharge curve is as shown in Figure 4 As shown, the maximum temperature is 31℃, the minimum temperature is 29℃, the temperature difference is 2℃, and the auxiliary power consumption is 0KWh; and the expected parameters at the next time: the expected maximum temperature is 30℃, the expected minimum temperature is 28℃, the expected temperature difference is 2℃, and the expected auxiliary power consumption is 0.15KWh.

[0067] Then, the actual parameters at the next time are compared with the expected parameters at the next time, and it is judged whether the actual parameters exceed the set threshold, if not, the heat dissipation strategy of the sixth standard working condition can be used for heat dissipation; if yes, the heat dissipation strategy needs to be adjusted.

[0068] According to the calculated maximum temperature of the actual parameters being greater than the expected maximum temperature, the calculated minimum temperature of the actual parameters being greater than the expected minimum temperature, and the calculated auxiliary power consumption being less than the expected auxiliary power consumption, the maximum temperature, the minimum temperature and the auxiliary power consumption need to be adjusted at the next time.

[0069] According to the weight of each expected parameter, the corresponding control strategy is obtained by weighted calculation, and then the cycle is repeated until the overall system can reach the required expected parameters, and the control strategy adjusted in this embodiment is as shown in Figure 6 As shown, the control is divided into four stages: stage 1, the opening temperature is 30℃, and the closing temperature is 28℃; stage two, the opening temperature is 33℃, and the closing temperature is 31℃; stage 3, the opening temperature is 28℃, and the closing temperature is 26℃; and stage four, the opening temperature is 30℃, and the closing temperature is 28℃.

[0070] Finally, the heat dissipation strategy is stored in the basic database and the energy storage system, and is used as a newly added standard working condition for other energy storage systems to call.

[0071] It should be emphasized that the above is only a preferred embodiment of the present application, and does not limit the present application in any form, and any simple modification, equivalent change and modification of the above embodiment according to the technical essence of the present application still belongs to the scope of the technical solution of the present application.

Claims

1. A method for adjusting the temperature control strategy of an energy storage system, characterized in that, The steps of this method are as follows: S1. Set multiple standard operating conditions in the test system. Under each standard operating condition, monitor and record various basic parameters of the energy storage system, and formulate a predetermined heat dissipation strategy for each standard operating condition. Use the various basic parameters and the corresponding predetermined heat dissipation strategy to form a basic database. S2. The test system and energy storage system start working. Input the actual operating conditions, input the expected parameters of the energy storage system and the weights of each expected parameter. The actual operating conditions are one of multiple standard operating conditions or non-standard operating conditions. When it is a non-standard operating condition, the established heat dissipation strategy of the standard operating condition that is closest to the non-standard operating condition shall be used as the heat dissipation strategy. S3. Under actual working conditions, the test system collects the actual parameters of the energy storage system multiple times within a set time. S4. Using the actual parameters collected in step S3 and the basic database, predict the parameters of the energy storage system at the next moment and compare them with the expected parameters in step S2; determine whether the difference between the actual parameters and the expected parameters exceeds the set threshold. If yes, proceed to step S5; otherwise, proceed to step S6. S5. The test system adjusts the heat dissipation strategy of the energy storage system and sends a control signal to the temperature controller. The temperature controller adjusts the parameters that need to be adjusted, and then returns to step S3. S6. The energy storage system performs heat dissipation operations according to the predetermined heat dissipation strategy.

2. The method for adjusting the temperature control strategy of an energy storage system according to claim 1, characterized in that, The basic parameters in step S1 include charge / discharge curve, maximum temperature, minimum temperature, temperature difference, auxiliary power consumption, and ambient temperature.

3. The method for adjusting the temperature control strategy of an energy storage system according to claim 1, characterized in that, The expected parameters in step S2 include the expected maximum temperature, the expected minimum temperature, the expected temperature difference, and the expected auxiliary power consumption.

4. The method for adjusting the temperature control strategy of an energy storage system according to claim 1, characterized in that, The actual parameters in step S3 include charge / discharge curves, maximum temperature, minimum temperature, temperature difference, auxiliary power consumption, and ambient temperature.

5. The method for adjusting the temperature control strategy of an energy storage system according to claim 1, characterized in that, The parameters that need to be adjusted in step S5 include at least one of the following: maximum temperature, minimum temperature, temperature difference, and cumulative power consumption.

6. The method for adjusting the temperature control strategy of an energy storage system according to claim 1, characterized in that, The method for adjusting the heat dissipation strategy of the energy storage system in step S5 is as follows: S51. Determine the weight ratio of each expected parameter; S52. Based on the weight ratio of each expected parameter, the test system uses a weighted algorithm to obtain the processed data. S53. The energy storage system sends a control signal to the temperature control device based on the processed data.

7. The method for adjusting the temperature control strategy of an energy storage system according to claim 6, characterized in that, In actual working conditions where the requirements for a single expected parameter are strict, the weight ratio of that single expected parameter is a, and the sum of the weight ratios of the other expected parameters is b, where a+b=100%.

8. The method for adjusting the temperature control strategy of an energy storage system according to claim 6, characterized in that, In actual working conditions where multiple expected parameters have strict requirements, the weight ratios of the multiple expected parameters are c1, c2, c3, ..., cn, and the sum of the weight ratios of the remaining expected parameters is d, where c1 + c2 + c3, ... + cn + d = 100%.

9. The method for adjusting the temperature control strategy of an energy storage system according to claim 1, characterized in that, The standard operating conditions and corresponding predetermined heat dissipation strategies are as follows. Standard operating condition 1: 0.25P charging and discharging, the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 30℃ and turned off at 28℃; Standard operating condition 2: 0.5P charging and discharging, the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 30℃ and turned off at 28℃; Standard operating condition 3: 0.5P charge and discharge, 1H interval, the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 32℃ and turned off at 30℃; Standard operating condition 4: 0.5P charge and discharge, interval 2H, the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 34℃ and turned off at 32℃; Standard operating condition 5: 0.33P charging and discharging, the corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 30℃ and turned off at 28℃; Standard operating condition six: 0.1P charging, 0.33P discharging. The corresponding established heat dissipation strategy is that the temperature control device is turned on at 34℃ and turned off at 30℃ during charging, and turned on at 32℃ and turned off at 30℃ during discharging. Standard operating condition seven: 0.33P charging, 0.5P discharging. The corresponding predetermined heat dissipation strategy is that the temperature control device is turned on at 32℃ and turned off at 28℃ during charging, and turned on at 30℃ and turned off at 28℃ during discharging.

10. The method for adjusting the temperature control strategy of an energy storage system according to claim 1, characterized in that, In step S5, the heat dissipation strategy formed after the temperature controller adjusts the actual parameters is stored as a new standard operating condition in the basic database.

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