CN-121979320-A - Target control method, target control device, electronic device, storage medium, and program product

CN121979320ACN 121979320 ACN121979320 ACN 121979320ACN-121979320-A

Abstract

The present disclosure provides a target control method, an apparatus, an electronic device, a storage medium and a program product, and the present disclosure predicts a load condition of an energy storage unit by using historical data in advance, determines a target period with a possibly higher future load based on a prediction result, then can also obtain relevant characteristic data of the energy storage unit in the target period, performs data matching on one side of a temperature control component according to the characteristic data, determines a use condition of the temperature control component when a working condition is approximate, and forms an advanced start control strategy of the temperature control component for the target period based on the use condition. The temperature control assembly can be started in advance before the energy storage unit runs under high load in the mode, the temperature attribute of the energy storage unit is controlled in advance, the control force can be gradually improved in a mode of gradually improving power and the like, so that the problems of load impact, overhigh energy consumption and the like are solved, the service life of the temperature control assembly is prolonged, and the use cost is integrally reduced.

Inventors

Cui Enbo

Assignees

远景动力技术(江苏)有限公司
远景睿泰动力技术(上海)有限公司

Dates

Publication Date: 20260505
Application Date: 20251226

Claims (16)

1. The target control method is characterized by being applied to a system consisting of a temperature control component and an energy storage unit, wherein the temperature control component is used for adjusting the temperature attribute of the energy storage unit, and the method comprises the following steps: Carrying out load prediction on a future working time period according to the historical data of the energy storage unit to obtain a target time period, wherein the target time period is a time period determined by dividing the future working time period according to the load prediction result; performing data matching in a database of the temperature control component according to the characteristic data of the target period, and determining a matching result, wherein the characteristic data is working condition data of the temperature control component and/or the energy storage unit in the target period obtained by load prediction; and determining a control strategy according to the matching result, wherein the control strategy is used for controlling the temperature control component to be started in advance before the target period.
2. The method of claim 1, wherein the load predicting the future operating time period based on the historical data of the energy storage unit to obtain the target time period comprises: analyzing historical data of the energy storage unit through a deep learning prediction model to generate a load state prediction result of the energy storage unit in the future working time period; And carrying out load grade division on the future working time period according to the load state prediction result, and determining the time period with the high priority of the load grade in the future working time period as the target time period.
3. The method of claim 2, wherein the analyzing the historical data of the energy storage unit by the deep learning prediction model to generate a load state prediction result of the energy storage unit in the future operating time period comprises: Outputting at least one load state to be selected of the energy storage unit in a candidate period by utilizing the prediction model, and marking the confidence level of the at least one load state to be selected, wherein the candidate period is any period in the future working period; And determining the load state of the energy storage unit in the candidate period as the one with the highest confidence in the at least one load state to be selected.
4. The method of claim 1, wherein the performing data matching in the database of the temperature control component according to the characteristic data of the target period, determining a matching result, comprises: And determining a matching result in a database of the temperature control component by utilizing a clustering algorithm according to the characteristic data of the target period, wherein the matching result is a history period of which the characteristic data is closest to the characteristic data of the target period and operation data corresponding to the history period.
5. The method of claim 1, wherein the matching results include control data and execution results of the temperature control component over a historical period of time; the determining a control strategy according to the matching result comprises the following steps: Generating the control strategy according to the control data corresponding to the matching result under the condition that the execution result accords with the set expectation; when the execution result does not accord with the set expectation, adjusting the set amplitude of the control data corresponding to the matching result to generate the control strategy; Wherein, the control strategy at least comprises a starting time point and starting power of the temperature control component.
6. The method of claim 1, wherein said determining a control strategy based on said matching result comprises: Determining a target power of the temperature control component according to a target load of the energy storage unit, wherein the target load is a load value which is determined through load prediction and is expected to be reached by the energy storage unit in the target period; determining a starting time point and starting power of the temperature control component according to the matching result; and determining a power change curve of the temperature control component according to the target power, the starting time point, the starting power and the starting time point of the target period, so as to generate the control strategy.
7. The method of claim 6, wherein the determining the power profile of the temperature controlled component comprises: And generating the power change curve through an interpolation algorithm, and controlling the change amplitude of the power change curve through setting a threshold value.
8. The method of claim 1, wherein after determining a control strategy based on the matching result, the method further comprises: Determining a temperature difference between an actual temperature and an expected temperature of the energy storage unit; Mixing the control strategy and the feedback strategy according to a set proportion under the condition that the temperature difference value falls into a set interval, and controlling the temperature control assembly by utilizing the mixed strategy; When the temperature difference value is larger than the set interval, the temperature control component is controlled by utilizing the feedback strategy; Wherein the feedback strategy is a strategy for controlling the temperature control component determined according to the temperature difference value.
9. The method according to claim 8, wherein said mixing the control strategy with the feedback strategy according to a set proportion in case the temperature difference falls within a set interval comprises: Mixing the control strategy with the current output power of the temperature control component in the feedback strategy according to the set proportion under the condition that the temperature difference value falls into the set interval; The setting proportion comprises the following steps: ; Wherein, the The set ratio is indicated by the above-mentioned set ratio, Indicating the set adjustment weight of the device, Indicating the degree of deviation of the input temperature difference, , Which is indicative of the difference in temperature of the material, And Respectively representing the minimum value and the maximum value of the set section.
10. The method of claim 1, wherein after determining a control strategy based on the matching result, the method further comprises: acquiring an actual control result corresponding to the control strategy; and correcting the generation process of the control strategy according to the actual control result.
11. The method of claim 1, wherein prior to load predicting a future operating period based on historical data of the energy storage unit, the method further comprises: And acquiring the historical data corresponding to the energy storage unit, wherein the historical data comprises at least one of load data of the energy storage unit, the environment temperature of the energy storage unit, temperature data of the energy storage unit and temperature change data of the energy storage unit.
12. The method of claim 1, wherein the operating condition data comprises at least one of load data of the energy storage unit, temperature change data of the energy storage unit, a startup period of the temperature control assembly, power data of the temperature control assembly, power change data of the temperature control assembly, and an ambient temperature at which the energy storage unit is located.
13. A target control device, wherein the device is applied in the system that control by temperature change subassembly and energy storage unit constitute, control by temperature change subassembly is used for adjusting the temperature attribute of energy storage unit, the device includes: The first module is used for carrying out load prediction on a future working time period according to the historical data of the energy storage unit to obtain a target time period, wherein the target time period is a time period determined by dividing the future working time period according to a load prediction result; the second module is used for carrying out data matching in the database of the temperature control component according to the characteristic data of the target period, and determining a matching result, wherein the characteristic data is working condition data of the temperature control component and/or the energy storage unit in the target period obtained by load prediction; And a third module, configured to determine a control policy according to the matching result, where the control policy is used to control the temperature control component to be started in advance before the target period.
14. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 12 when the computer program is executed.
15. A non-transitory computer readable storage medium storing computer instructions for causing a computer to implement the method of any one of claims 1 to 12.
16. A computer program product comprising computer program instructions which, when run on a computer, cause the computer to carry out the method of any one of claims 1 to 12.

Description

Target control method, target control device, electronic device, storage medium, and program product Technical Field The present disclosure relates to the field of machine control technologies, and in particular, to a target control method, apparatus, electronic device, storage medium, and program product. Background The control of the cooling unit in the energy storage system in the related art mainly depends on a real-time feedback mode. For example, in a liquid cooling scheme, the cooling unit operating state is dynamically adjusted by detecting the coolant inlet temperature or the current operating condition of an energy storage unit (e.g., a battery pack, etc.). It can be seen that such a way belongs to a passive response way, and depending on real-time data, there is a certain hysteresis in the response. The lagged response brings higher requirements to the cooling unit, so that not only can the excessively high energy consumption be caused, but also the load impact can be frequently born, the service life of the equipment is reduced, and the overall cost is improved. It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art. Disclosure of Invention In view of this, the present disclosure proposes a target control method, apparatus, electronic device, storage medium and program product to solve or partially solve the above-mentioned problems. In view of the above object, in a first aspect, the present disclosure provides a target control method, where the method is applied to a system composed of a temperature control component and an energy storage unit, where the temperature control component is used to adjust a temperature attribute of the energy storage unit, the method includes: Carrying out load prediction on a future working time period according to the historical data of the energy storage unit to obtain a target time period, wherein the target time period is a time period determined by dividing the future working time period according to the load prediction result; performing data matching in a database of the temperature control component according to the characteristic data of the target period, and determining a matching result, wherein the characteristic data is working condition data of the temperature control component and/or the energy storage unit in the target period obtained by load prediction; and determining a control strategy according to the matching result, wherein the control strategy is used for controlling the temperature control component to be started in advance before the target period. Based on the same conception, the second aspect also provides a target control device, the device is applied to a system formed by a temperature control component and an energy storage unit, the temperature control component is used for adjusting the temperature attribute of the energy storage unit, and the device comprises: The first module is used for carrying out load prediction on a future working time period according to the historical data of the energy storage unit to obtain a target time period, wherein the target time period is a time period determined by dividing the future working time period according to a load prediction result; the second module is used for carrying out data matching in the database of the temperature control component according to the characteristic data of the target period, and determining a matching result, wherein the characteristic data is working condition data of the temperature control component and/or the energy storage unit in the target period obtained by load prediction; And a third module, configured to determine a control policy according to the matching result, where the control policy is used to control the temperature control component to be started in advance before the target period. Based on the same conception, the present disclosure also provides in a third aspect an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method as described in the first aspect above when executing the computer program. Based on the same conception, the present disclosure also provides, in a fourth aspect, a non-transitory computer-readable storage medium storing computer instructions for causing a computer to implement the method of the above first aspect. Based on the same conception, the present disclosure also provides in a fifth aspect a computer program product comprising computer program instructions which, when run on a computer, cause the computer to implement the method as described in the first aspect above. As can be seen from the foregoing, the present disclosure provides a target control method, apparatus, electronic device, s