CN116072437A - Energy storage thermal management system, control method and control device - Google Patents
Energy storage thermal management system, control method and control device Download PDFInfo
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- 238000004146 energy storage Methods 0.000 title claims abstract description 159
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000010438 heat treatment Methods 0.000 claims abstract description 66
- 230000008878 coupling Effects 0.000 claims abstract description 60
- 238000010168 coupling process Methods 0.000 claims abstract description 60
- 238000005859 coupling reaction Methods 0.000 claims abstract description 60
- 239000003990 capacitor Substances 0.000 claims abstract description 36
- 238000011217 control strategy Methods 0.000 claims abstract description 36
- 238000004088 simulation Methods 0.000 claims abstract description 35
- 239000000498 cooling water Substances 0.000 claims abstract description 33
- 238000001816 cooling Methods 0.000 claims abstract description 32
- 238000004378 air conditioning Methods 0.000 claims abstract description 28
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 27
- 230000005611 electricity Effects 0.000 claims abstract description 20
- 238000005516 engineering process Methods 0.000 claims abstract description 14
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- 238000005057 refrigeration Methods 0.000 claims description 7
- 239000000110 cooling liquid Substances 0.000 claims description 4
- 238000001228 spectrum Methods 0.000 claims description 4
- 238000005265 energy consumption Methods 0.000 abstract description 9
- 238000010586 diagram Methods 0.000 description 23
- 238000007599 discharging Methods 0.000 description 5
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- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01G—CAPACITORS; CAPACITORS, RECTIFIERS, DETECTORS, SWITCHING DEVICES, LIGHT-SENSITIVE OR TEMPERATURE-SENSITIVE DEVICES OF THE ELECTROLYTIC TYPE
- H01G11/00—Hybrid capacitors, i.e. capacitors having different positive and negative electrodes; Electric double-layer [EDL] capacitors; Processes for the manufacture thereof or of parts thereof
- H01G11/14—Arrangements or processes for adjusting or protecting hybrid or EDL capacitors
- H01G11/18—Arrangements or processes for adjusting or protecting hybrid or EDL capacitors against thermal overloads, e.g. heating, cooling or ventilating
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01G—CAPACITORS; CAPACITORS, RECTIFIERS, DETECTORS, SWITCHING DEVICES, LIGHT-SENSITIVE OR TEMPERATURE-SENSITIVE DEVICES OF THE ELECTROLYTIC TYPE
- H01G11/00—Hybrid capacitors, i.e. capacitors having different positive and negative electrodes; Electric double-layer [EDL] capacitors; Processes for the manufacture thereof or of parts thereof
- H01G11/78—Cases; Housings; Encapsulations; Mountings
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/06—Power analysis or power optimisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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Abstract
The embodiment of the invention discloses an energy storage heat management system, a control method and a control device. The energy storage thermal management system comprises a cooling module and an energy storage module, wherein the cooling module comprises an air conditioning unit, a cooling water pump and a water tank, the energy storage module comprises a capacitor box, and the capacitor box is composed of a plurality of electric cores and a fan; the control method of the energy storage heat management system comprises the following steps: determining an electric-thermal coupling map of the battery cell through an electric-thermal coupling simulation technology; according to the repeated rule characteristics of the daily power curve of the energy storage module, predicting and judging the power utilization condition trend of the energy storage module; and determining a control strategy of the energy storage heat management system according to the electric-thermal coupling map and the electricity utilization condition trend. According to the technical scheme, the heating condition of the energy storage heat management system can be accurately monitored, so that the temperature of the energy storage heat management system is always kept at the optimal operation temperature, and meanwhile, the energy consumption of the energy storage heat management system is reduced.
Description
Technical Field
The embodiment of the invention relates to the technical field of new energy thermal management, in particular to an energy storage thermal management system, a control method and a control device.
Background
The super capacitor box has the characteristics of high output power, large charge and discharge multiplying power and long service life. The device is very suitable for power adjustment, frequency adjustment and energy storage of a power system. In the conventional energy storage thermal management technology, the thermal management is controlled only based on the monitored temperature, for example, the basic method is to monitor the temperature of the battery cell, if the temperature of the battery cell is higher than a set threshold value, the thermal management system starts refrigeration and cooling, and if the monitored temperature is lower than the set threshold value after a certain time of cooling, the thermal management system stops refrigeration and cooling. Further advanced thermal management strategies control the refrigeration power and the rotation speeds of the fan and the water pump on the basis of adjusting the start and stop of refrigeration only according to the monitored temperature, so as to achieve the effect of frequency modulation. The methods for monitoring and controlling the temperature only can not achieve very accurate temperature control, the system temperature can not be kept at the optimal operation temperature, and meanwhile, the energy consumption of the thermal management system is large, so that the service life of the battery cell and the economical efficiency of the thermal management system are influenced.
Disclosure of Invention
The invention provides an energy storage heat management system, a control method and a control device, which are used for realizing accurate monitoring on the heating condition of the energy storage heat management system, keeping the temperature of the energy storage heat management system at the optimal operation temperature all the time and reducing the energy consumption of the energy storage heat management system.
According to an aspect of the present invention, there is provided a control method of an energy storage thermal management system, the energy storage thermal management system including a cooling module and an energy storage module, the cooling module including an air conditioning unit, a cooling water pump and a water tank, the energy storage module including a capacitor box, the capacitor box being composed of a plurality of electric cores and an air mechanism; the control method comprises the following steps:
determining an electric-thermal coupling map of the electric core through an electric-thermal coupling simulation technology;
according to the repeated rule characteristics of the daily power curve of the energy storage module, predicting and judging the power utilization condition trend of the energy storage module;
and determining a control strategy of the energy storage heat management system according to the electric-thermal coupling map and the electricity utilization condition trend.
Optionally, the determining the electric-thermal coupling map of the electric core through the electric-thermal coupling simulation technology specifically includes:
constructing a micro electrode model for the battery cell and carrying out grid division on the battery cell;
applying a potential to the electrodes of the cells based on the microscopic electrode model to form a voltage and a current;
performing simulation operation according to the grid division, and outputting the heating values of the battery cells under different electric parameters;
and calculating the heating value of the energy storage module according to the heating value of the battery cell to form an electric-thermal coupling map.
Optionally, the predicting and judging the power utilization trend of the energy storage module according to the repeated rule characteristics of the daily power curve of the energy storage module specifically includes: and carrying out iterative fitting on the trend prediction curve according to the daily power curve to obtain a new power prediction curve.
Optionally, the determining the control strategy of the energy storage thermal management system according to the electric-thermal coupling map and the electricity utilization condition trend includes a precise heating value calculation control, and the precise heating value calculation control includes:
acquiring the temperature, voltage and current of the battery core, introducing the temperature, voltage and current into a pre-established electric-thermal coupling model, performing simulation operation to obtain calculated heating power, introducing the capacitor box power and the capacitor box temperature into a heating experience calculation model to obtain experience heating power, performing consistency check on the calculated heating power and the experience heating power, outputting normalized heating value, and making a decision of a control strategy.
Optionally, the determining the control strategy of the energy storage thermal management system according to the electric-thermal coupling map and the electricity usage condition trend includes an electricity usage trend prediction, the electricity usage trend prediction including:
collecting and calculating current power, checking the consistency of power consumption trend curves of the current power and the power curves of the previous 1 h-nh, if the power consumption trend curves are consistent, calculating the heating value trend of the future preset time according to the current power and the power consumption trend, and making a decision of a control strategy;
and if the power consumption trend curves are inconsistent, taking the power curve from the front (n-1) power curve to the front 1h power curve to carry out consistency check on the power consumption trend curves, and sequentially recursing until the consistency check on the power consumption trend curves is met.
Optionally, the determining the control strategy of the energy storage thermal management system according to the electric-thermal coupling map and the electricity usage condition trend includes:
the method comprises the steps of adjusting the rotating speed of a compressor in an air conditioning unit to control refrigeration power, adjusting the rotating speed of a fan in a capacitor box to control heat exchange quantity, adjusting the rotating speed of a cooling water pump to control total flow of cooling liquid, and adjusting the opening of a flow regulating valve of a water tank to control the flow of each branch.
Optionally, determining whether the rotation speed of the fan is the maximum value, if not, adjusting the rotation speed of the fan, and then continuously determining whether the temperature of the energy storage module exceeds a first preset condition;
if the rotating speed of the fan is the maximum value, determining whether the flow of the flow regulating valve is the maximum value; if not, after increasing the flow of the flow regulating valve, continuously determining whether the temperature of the energy storage module exceeds a first preset condition;
if the flow of the flow regulating valve is the maximum value, determining whether the duty ratio of the cooling water pump is the maximum value; if not, increasing the duty ratio of the cooling water pump, and then continuously determining whether the temperature of the energy storage module exceeds a first preset condition;
if the duty ratio of the cooling water pump is the maximum value, determining whether the refrigerating power of a compressor in the air conditioning unit is the maximum value; if not, the refrigerating power of a compressor in the air conditioning unit is improved, and after the flow regulating valve of the energy storage module which is not over-heated is reduced, whether the temperature of the energy storage module exceeds a first preset condition is continuously determined.
Optionally, the electrical parameter includes at least one of voltage, current, power, and internal resistance.
According to another aspect of the present invention, there is provided an energy storage thermal management system including: a cooling module and an energy storage module;
the cooling module comprises an air conditioning unit, a cooling water pump and a water tank, wherein the first end of the air conditioning unit is connected with the cooling water pump, the second end of the air conditioning unit is connected with the water tank, and the cooling water pump and the water tank are respectively connected with the energy storage module;
the energy storage module comprises a capacitor box, the capacitor box is composed of a plurality of electric cores and a fan, and the water tank comprises a flow regulating valve.
According to another aspect of the present invention, there is also provided a control device of an energy storage thermal management system, including:
the electric-thermal coupling spectrum determining module is used for forming an electric-thermal coupling spectrum of the electric core through an electric-thermal coupling simulation technology;
the prediction judging module is used for predicting and judging the power utilization trend of the energy storage module according to the rule characteristics of the daily power curve of the energy storage module;
and the control strategy determining module is used for forming a control strategy of the energy storage heat management system according to the electric-thermal coupling map and the electricity utilization condition trend.
The embodiment of the invention provides an energy storage heat management system, which comprises a cooling module and an energy storage module, wherein the cooling module comprises an air conditioning unit, a cooling water pump and a water tank; the control method of the energy storage heat management system comprises the following steps: determining an electric-thermal coupling map of the battery cell through an electric-thermal coupling simulation technology; according to the repeated rule characteristics of the daily power curve of the energy storage module, predicting and judging the power utilization condition trend of the energy storage module; and determining a control strategy of the energy storage heat management system according to the electric-thermal coupling map and the electricity utilization condition trend. According to the technical scheme, an electric-thermal control map based on the simulation result of the cell-module-capacitor box is formed through a preposed electric-thermal coupling simulation technology, the electricity utilization condition trend is predicted and judged through intelligent self-learning according to the repeated rule characteristics of the frequency modulation energy storage daily power curve, and the control strategy of the high-precision energy storage thermal management system is formed through the strategy, so that the heating condition of the energy storage thermal management system is accurately monitored, the temperature of the energy storage thermal management system is always kept at the optimal operation temperature, and meanwhile, the energy consumption of the energy storage thermal management system is reduced. In addition, the performance and the service life of the super capacitor are improved, and the economic requirement of the system is met. In summary, the embodiment of the invention solves the problems that accurate temperature control cannot be achieved, the temperature of the energy storage thermal management system cannot be kept at the optimal operation temperature, and the energy consumption of the energy storage thermal management system is high in the prior art.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a control method of an energy storage thermal management system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a control method of yet another thermal management system for energy storage according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a cell grid division provided according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of imparting a potential to a cell electrode according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of the heat generation of a battery cell under different electrical parameters according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an average temperature variation trend of a heat productivity of a battery cell according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a heat productivity of a battery cell according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of yet another cell heating value provided in accordance with an embodiment of the present invention;
FIG. 9 is a schematic diagram of a power curve provided in accordance with an embodiment of the present invention;
FIG. 10 is a schematic diagram of yet another power curve provided in accordance with an embodiment of the present invention;
FIG. 11 is a flowchart of a precise heat generation amount calculation control provided according to an embodiment of the present invention;
FIG. 12 is a flow chart of a power consumption trend prediction provided in accordance with an embodiment of the present invention;
FIG. 13 is a schematic diagram of an energy storage thermal management precise control strategy according to an embodiment of the present invention;
FIG. 14 is a schematic diagram of a thermal management system for storing energy according to an embodiment of the present invention;
fig. 15 is a schematic structural diagram of a control device of an energy storage thermal management system according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a flowchart of a control method of an energy storage thermal management system according to an embodiment of the present invention, and referring to fig. 1, the embodiment of the present invention provides a control method of an energy storage thermal management system, where the energy storage thermal management system includes a cooling module and an energy storage module, the cooling module includes an air conditioning unit, a cooling water pump, and a water tank, the energy storage module includes a capacitor box, and the capacitor box is formed by a plurality of electric cores and an air mechanism; the control method comprises the following steps:
s110, determining an electric-thermal coupling map of the battery cell through an electric-thermal coupling simulation technology.
Specifically, the battery core can be a soft-package lithium battery, and the capacitor box is composed of a plurality of battery cores and a fan mechanism.
In the field of battery thermal simulation calculation, the distribution simulation of the heating and temperature field of the battery core is currently conventional to adopt a simple empirical heating model in simulation software or function calculation based on an equivalent circuit model. The other precision is higher by actually measuring the surface temperature and the heating value of the battery cell, then endowing the battery cell with the surface of the grid battery cell model, and then carrying out system-level simulation. At present, the heating and surface temperature distribution of the battery core are accurately simulated from the electric-thermal coupling simulation of the microcosmic layer of the battery core in the directions of electron transfer of the anode and the cathode, heat conduction of the electrode lug and the like.
Conventional cell thermal simulation typically uses two models: the NTGK model is a simple semi-empirical electrochemical model, can be used for efficient modeling of a battery, derives battery characteristics according to test values, uses the battery characteristics as input values, calculates battery performance with low calculation amount, and obtains heat distribution. The ECM equivalent circuit model simulates a dynamic battery charging and discharging process based on HPPC charging and discharging data, the electric behavior of the battery is simulated through a circuit, the circuit consists of three resistors and two capacitors, and the relation between voltage and current can be obtained by solving a circuit equation. For a given battery, the resistance and capacitance values are functions of the state of charge (SOC) and temperature of the battery, and are fitted using HPPC test data using a parameter fitting tool, presented in tabular or functional form.
In the embodiment, the surface heating and temperature distribution of the battery cell under different working conditions and temperatures are actually measured, numerical values are given to the gridding battery cell model, and the numerical values are used as input parameters to perform thermal simulation on a system layer. And (3) a front-end electric-thermal coupling simulation technology is adopted to form an electric-thermal control map based on the simulation result of the electric core-module-capacitor box, namely, a map of the relation between electric parameters and the heating value of the super capacitor box is established.
S120, predicting and judging the power utilization condition trend of the energy storage module according to the repeated rule characteristics of the daily power curve of the energy storage module.
Specifically, according to the repeated rule characteristics of the frequency modulation energy storage daily power curve, the electricity utilization condition trend of the energy storage module is predicted and judged through intelligent self-learning, and then the heating value of a future energy storage thermal management system is predicted.
S130, determining a control strategy of the energy storage heat management system according to the electric-thermal coupling map and the electricity utilization condition trend.
Specifically, according to the electric-thermal coupling map and the electricity utilization trend prediction judgment in the two aspects, a control strategy of the high-precision energy storage thermal management system is formed, so that the energy storage thermal management system can accurately adjust the refrigerating capacity, the system temperature is always kept at the optimal operation temperature, and meanwhile, the energy consumption of the thermal management system is reduced.
The embodiment of the invention provides an energy storage heat management system, which comprises a cooling module and an energy storage module, wherein the cooling module comprises an air conditioning unit, a cooling water pump and a water tank; the control method of the energy storage heat management system comprises the following steps: determining an electric-thermal coupling map of the battery cell through an electric-thermal coupling simulation technology; according to the repeated rule characteristics of the daily power curve of the energy storage module, predicting and judging the power utilization condition trend of the energy storage module; and determining a control strategy of the energy storage heat management system according to the electric-thermal coupling map and the electricity utilization condition trend. According to the technical scheme, an electric-thermal control map based on the simulation result of the cell-module-capacitor box is formed through a preposed electric-thermal coupling simulation technology, the electricity utilization condition trend is predicted and judged through intelligent self-learning according to the repeated rule characteristics of the frequency modulation energy storage daily power curve, and the control strategy of the high-precision energy storage thermal management system is formed through the strategy, so that the heating condition of the energy storage thermal management system is accurately monitored, the temperature of the energy storage thermal management system is always kept at the optimal operation temperature, and meanwhile, the energy consumption of the energy storage thermal management system is reduced. In addition, the performance and the service life of the super capacitor are improved, and the economic requirement of the system is met. In summary, the embodiment of the invention solves the problems that accurate temperature control cannot be achieved, the temperature of the energy storage thermal management system cannot be kept at the optimal operation temperature, and the energy consumption of the energy storage thermal management system is high in the prior art.
Fig. 2 is a flowchart of a control method of another energy storage thermal management system according to an embodiment of the present invention, referring to fig. 2, optionally, determining an electric-thermal coupling map of an electric core by an electric-thermal coupling simulation technique specifically includes the following steps:
1101. and constructing a micro electrode model for the battery cell and meshing the battery cell.
Fig. 3 is a schematic diagram of grid division of a battery cell according to an embodiment of the present invention, and referring to fig. 3, specifically, a microelectrode model is first constructed according to a type of the battery cell, and the microelectrode model may be a three-dimensional model, and then grid division is performed on the three-dimensional model. The subsequent simulation operation is to simulate by using the minimum unit drawn by the grid, the finer the grid division is, the more accurate the temperature field is, but the calculated amount is increased.
1102. Potential is applied to the electrodes of the cells based on the microscopic electrode model to form a voltage and a current.
Fig. 4 is a schematic diagram of applying a potential to a battery cell electrode according to an embodiment of the present invention, and referring to fig. 4, specifically, two tabs at two ends of the battery cell are respectively charged to form a voltage and a current. One lug is an anode, and the other lug is a cathode.
1103. And (5) performing simulation operation according to grid division, and outputting the heating values of the battery cells under different electric parameters.
Fig. 5 is a schematic diagram of the heat productivity of a battery cell under different electrical parameters according to an embodiment of the present invention, and fig. 6 is a schematic diagram of an average temperature variation trend of the heat productivity of a battery cell according to an embodiment of the present invention, and referring to fig. 5 and fig. 6, specifically, the heat productivity of a battery cell under different electrical parameters is output by performing an analog simulation operation based on a minimum unit of grid division. Optionally, the electrical parameter includes at least one of voltage, current, power, and internal resistance.
1104. And calculating the heating value of the energy storage module according to the heating value of the battery cell to form an electric-thermal coupling map.
Specifically, according to research, the heating values of the charging and discharging of the system are greatly different under the same power, so that the output map is divided into two working conditions of charging and discharging, and the discharging current is negative. Fig. 7 is a schematic diagram of a heat productivity of a battery cell according to an embodiment of the present invention, and fig. 8 is a schematic diagram of a heat productivity of another battery cell according to an embodiment of the present invention, and referring to fig. 7 and fig. 8, for example, when an ambient temperature is 20 ℃, a voltage is 100V, a current is 200A, a power is 20kW, and a resistance is 2mΩ, a temperature distribution is shown in fig. 7 when the heat productivity is 600W. The temperature distribution is shown in FIG. 8 when the ambient temperature is 20 ℃, the voltage is 45V, the current is 150A, the power is 7kW, the resistance is 1.2mΩ, and the heating value is 200W.
Fig. 9 is a schematic diagram of a power curve according to an embodiment of the present invention, referring to fig. 9, optionally, according to a repeated rule characteristic of a daily power curve of an energy storage module, the predicting and judging a power utilization condition trend of the energy storage module specifically includes: and carrying out iterative fitting on the trend prediction curve according to the daily power curve to obtain a new power prediction curve.
Specifically, the temperature, the voltage, the current and the pressure difference of the energy storage module are sampled, the electric power and the internal resistance are calculated, future electric power and internal resistance curves are fitted through a neural algorithm, meanwhile, iteration optimization is carried out on the fitted curves according to the latest daily data, and trend prediction accuracy is improved through self-learning.
Fig. 10 is a schematic diagram of another power curve provided according to an embodiment of the present invention, and referring to fig. 10, taking power trend prediction as an example, fig. 10 is a power curve of a certain energy storage module for 5 natural days, and the power curve is fitted to obtain a power trend prediction curve of the current day. And according to the current actual electric load curve B, performing iterative fitting with the original trend prediction curve A to obtain a new iterative trend prediction curve C.
Fig. 11 is a flowchart of a control flow for calculating the amount of heat generated by the power plant according to an embodiment of the present invention, and referring to fig. 11, optionally, the determining a control strategy of the thermal management system for energy storage according to the electro-thermal coupling map and the power utilization trend includes a control for calculating the amount of heat generated by the power plant, where the control for calculating the amount of heat generated by the power plant includes: the temperature, voltage and current of the collecting core are led into a pre-established electric-thermal coupling model to obtain calculated heating power after simulation operation, the capacitance box power and the capacitance box temperature are led into a heating experience calculation model to obtain experience heating power, the calculated heating power and the experience heating power are subjected to consistency check, normalized heating value is output, and a control strategy is decided.
Specifically, the temperature, voltage and current of the battery core are collected, a pre-established electric-thermal coupling model is introduced, and the calculated heating power is obtained through model simulation calculation. And (5) introducing the capacitor box power and the capacitor box temperature into a heating experience calculation model to calculate the experience heating power. And carrying out consistency check on the calculated heating power and the empirical heating power, and outputting normalized heating value for the BMS control module to carry out decision of a control strategy.
FIG. 12 is a flowchart of a power usage trend prediction provided in accordance with an embodiment of the present invention, optionally with reference to FIG. 12, the control strategy for determining the thermal management system for energy storage based on the power-thermal coupling map and the power usage trend includes power usage trend prediction comprising: collecting and calculating current power, checking the consistency of power consumption trend curves of the current power and the power curves of the previous 1 h-nh, if the power consumption trend curves are consistent with the check, calculating the heating value trend of a preset time in the future according to the current power and the power consumption trend, and making a decision of a control strategy; if the power curves are inconsistent, taking the power curve from the previous (n-1) power curve to the previous 1h power curve to carry out consistency check on the power consumption trend curves, and sequentially recursing until the consistency check on the power consumption trend curves is met.
Specifically, the preset time may be 15 minutes. And acquiring and calculating the current power, importing the current power and the power curves of the previous 1 h-nh, checking the consistency of the power utilization trend curves, and if the power utilization trend curves are checked to be consistent, indicating that the consistency of the current power utilization trend is good, and calculating the future 15mins heating value trend according to the current power and the power utilization trend so as to enable the BMS control module to make a decision of a control strategy. If the power consumption trend is inconsistent, the power consumption trend is proved to have certain deviation, the power curves from the front (n-1) to the front 1h are taken to check the consistency, and the power curves are sequentially recursively calculated until the consistency is met, if the consistency is met in the front 3 hours, the power before 3 hours is different from the average power consumption trend in normal times, the average deviation amount outside 3 hours is calculated, and the future 15mins heating value trend is obtained according to the 3-hour prediction curve and the average deviation amount.
Optionally, determining the control strategy of the energy storage thermal management system based on the electric-thermal coupling map and the electricity usage condition trend comprises: the rotation speed of a compressor in the air conditioning unit is adjusted to control refrigeration power, the rotation speed of a fan in the capacitor box is adjusted to control heat exchange quantity, the rotation speed of the cooling water pump is adjusted to control total flow of cooling liquid, and the opening of a flow regulating valve of the water tank is adjusted to control water flow of each branch.
Specifically, the control of the energy storage heat management system is to send a control signal through the BMS control module, adjust the rotation speed of a compressor in the air conditioning unit to control the refrigerating power, adjust the heat exchange capacity in a fan rotation speed control box in the capacitor box, adjust the total flow of cooling liquid of the cooling water pump rotation speed control system, manually or electrically adjust the opening of a flow control valve of a water tank to control the flow of each branch, and adjust the temperature of the energy storage heat management system. Through the accurate control means, the cooling capacity of the energy storage heat management system is comprehensively adjusted, so that the purposes of accurately controlling, meeting the cooling target and saving energy consumption are achieved.
FIG. 13 is a schematic diagram of an accurate control strategy for energy storage thermal management according to an embodiment of the present invention, referring to FIG. 13, optionally, determining whether the rotational speed of the blower is the maximum value, if not, continuing to determine whether the temperature of the energy storage module exceeds a first preset condition after adjusting the rotational speed of the blower; if the rotating speed of the fan is the maximum value, determining whether the flow of the flow regulating valve is the maximum value; if not, after the flow of the flow regulating valve is increased, continuously determining whether the temperature of the energy storage module exceeds a first preset condition; if the flow of the flow regulating valve is the maximum value, determining whether the duty ratio of the cooling water pump is the maximum value; if not, increasing the duty ratio of the cooling water pump, and then continuously determining whether the temperature of the energy storage module exceeds a first preset condition; if the duty ratio of the cooling water pump is the maximum value, determining whether the refrigerating power of a compressor in the air conditioning unit is the maximum value; if not, the refrigerating power of a compressor in the air conditioning unit is increased, and after the flow regulating valve of the non-overtemperature energy storage module is reduced, whether the temperature of the energy storage module exceeds a first preset condition is continuously determined.
Specifically, taking the case that the current heating value or the future heating trend at a certain moment is larger than the current cooling effect as an example, a control strategy is described. As shown in the strategy diagram, according to the input, the BMS control module judges whether the cooling effect needs to be improved, if the cooling effect is judged to be required, the BMS control module sends a control signal to the fan, and adjusts and increases the rotating speed of the fan to step by 10%. And detecting whether the temperature difference is relieved. If the fan reaches the maximum rotating speed and the temperature difference is not relieved, the BMS control module further sends a control signal to the flow regulating valve to regulate and increase the flow of the loop, and the flow is stepped by 5%. And detecting whether the flow of the loop is increased or not by using a flow sensor, and whether the temperature difference is relieved or not. If the opening of the flow regulating valve is maximum and the temperature difference is not relieved, the BMS control module further sends a control signal to the cooling water pump to adjust the duty ratio of the cooling water pump to 10% steps. And detecting whether the temperature difference is relieved. If the duty ratio of the cooling water pump is maximum and the temperature difference is not relieved, the BMS control module further sends a control signal to a compressor in the air conditioning unit, adjusts and increases the rotation speed (refrigerating capacity) of the compressor in the air conditioning unit, steps by 5%, sends a control signal to flow regulating valves of other capacitance boxes, adjusts and reduces the flow of other loops, and steps by (3/n)%. And detecting whether the flow of the flow sensor of the other capacitance boxes is reduced, whether the temperature in the other capacitance boxes is changed or not, and whether the temperature difference is relieved or not. If the temperature difference is not relieved, an overtemperature alarm signal is sent to the control center, and workers are informed of precaution and timely maintenance.
Fig. 14 is a schematic structural diagram of an energy storage thermal management system according to an embodiment of the present invention, and referring to fig. 14, an embodiment of the present invention further provides an energy storage thermal management system, including: a cooling module 10 and an energy storage module 20; the cooling module 10 comprises an air conditioning unit 101, a cooling water pump 102 and a water tank 103, wherein a first end of the air conditioning unit 101 is connected with the cooling water pump 102, a second end of the air conditioning unit 101 is connected with the water tank 103, and the cooling water pump 102 and the water tank 103 are respectively connected with the energy storage module 20; the energy storage module 20 includes a capacitor box 210, the capacitor box 210 is composed of a plurality of battery cells 211 and a fan, and the water tank 103 includes a flow regulating valve.
Specifically, the energy storage thermal management system further comprises a BMS control module, and the BMS control module is used for deciding a control strategy of the high-power energy storage thermal management system. The air conditioning unit 101 includes a compressor for compressing refrigerant gas into low temperature gas for cooling the energy storage module 20. The capacitor box 210 includes a battery core 211, a fan and a heat exchanger, wherein the heat exchanger is used for cooling high-temperature gas generated by heat dissipation to low-temperature gas, and cooling the high-temperature gas under the action of the cooled air flow, so that the energy storage module 20 can realize uniform heat dissipation under the low-temperature air flow cooling. The air blown by the fan is used for cooling the energy storage module 20, the flow regulating valve is integrated with the water tank, the flow velocity of water in the water tank is controlled by the opening degree of the flow regulating valve, and the cooling water pump provides durable low-temperature cooling water for the energy storage thermal management system, so that the cooling of the energy storage module 20 is realized.
The energy storage thermal management system provided by the embodiment of the invention can execute the control method of the energy storage thermal management system provided by any embodiment, and has the structure for executing the control method of the energy storage thermal management system, so that the energy storage thermal management system provided by the embodiment of the invention has the beneficial effects described in any embodiment.
Fig. 15 is a schematic structural diagram of a control device of an energy storage thermal management system according to an embodiment of the present invention, and referring to fig. 15, an embodiment of the present invention further provides a control device of an energy storage thermal management system, where the device may be configured in an electronic device, and the control device of an energy storage thermal management system includes: an electric-thermal coupling map determining module 201, configured to form an electric-thermal coupling map of the electric core through an electric-thermal coupling simulation technology; the prediction judging module 202 is configured to predict and judge an electricity utilization condition trend of the energy storage module according to a rule characteristic of a daily power curve of the energy storage module; the control strategy determining module 203 is configured to form a control strategy of the energy storage thermal management system according to the electric-thermal coupling map and the electricity utilization trend.
The control device of the energy storage heat management system can execute the control method of the energy storage heat management system provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the control method of the energy storage heat management system.
With continued reference to fig. 15, optionally, the electro-thermal coupling map determining module 201 is further configured to construct a microelectrode model for the electrical core and grid-divide the electrical core; applying potential to electrodes of the battery core based on the microscopic electrode model to form voltage and current; performing simulation operation according to grid division, and outputting the heating values of the battery cells under different electric parameters; and calculating the heating value of the energy storage module according to the heating value of the battery cell to form an electric-thermal coupling map.
With continued reference to fig. 15, the prediction determination module 202 is further configured to iteratively fit the trend prediction curve according to the daily power curve to obtain a new power prediction curve.
With continued reference to fig. 15, optionally, the control policy determining module 203 is further configured to obtain calculated heating power by introducing a temperature, a voltage and a current of the current core into a pre-established electro-thermal coupling model, and performing a simulation operation, introduce the capacitor box power and the capacitor box temperature into a heating experience calculation model to obtain experience heating power, perform consistency check on the calculated heating power and the experience heating power, output a normalized heating value, and make a decision on a control policy.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The control method of the energy storage thermal management system is characterized in that the energy storage thermal management system comprises a cooling module and an energy storage module, the cooling module comprises an air conditioning unit, a cooling water pump and a water tank, the energy storage module comprises a capacitor box, and the capacitor box is composed of a plurality of electric cores and a fan; the control method comprises the following steps:
determining an electric-thermal coupling map of the electric core through an electric-thermal coupling simulation technology;
according to the repeated rule characteristics of the daily power curve of the energy storage module, predicting and judging the power utilization condition trend of the energy storage module;
and determining a control strategy of the energy storage heat management system according to the electric-thermal coupling map and the electricity utilization condition trend.
2. The method according to claim 1, wherein the determining the electro-thermal coupling map of the electrical core by the electro-thermal coupling simulation technique specifically comprises:
constructing a micro electrode model for the battery cell and carrying out grid division on the battery cell;
applying a potential to the electrodes of the cells based on the microscopic electrode model to form a voltage and a current;
performing simulation operation according to the grid division, and outputting the heating values of the battery cells under different electric parameters;
and calculating the heating value of the energy storage module according to the heating value of the battery cell to form an electric-thermal coupling map.
3. The method according to claim 1, wherein the predicting and judging the power utilization trend of the energy storage module according to the repeated regular characteristic of the daily power curve of the energy storage module specifically includes: and carrying out iterative fitting on the trend prediction curve according to the daily power curve to obtain a new power prediction curve.
4. The method of claim 1, wherein the determining a control strategy for the energy storage thermal management system from the electro-thermal coupling map and the electrical utility trend comprises a precise heating value calculation control comprising:
acquiring the temperature, voltage and current of the battery core, introducing the temperature, voltage and current into a pre-established electric-thermal coupling model, performing simulation operation to obtain calculated heating power, introducing the capacitor box power and the capacitor box temperature into a heating experience calculation model to obtain experience heating power, performing consistency check on the calculated heating power and the experience heating power, outputting normalized heating value, and making a decision of a control strategy.
5. The method of claim 1, wherein the determining a control strategy for the energy storage thermal management system based on the electrical-thermal coupling map and the electrical usage trend comprises an electrical usage trend prediction comprising:
collecting and calculating current power, checking the consistency of power consumption trend curves of the current power and the power curves of the previous 1 h-nh, if the power consumption trend curves are consistent, calculating the heating value trend of the future preset time according to the current power and the power consumption trend, and making a decision of a control strategy;
and if the power consumption trend curves are inconsistent, taking the power curve from the front (n-1) power curve to the front 1h power curve to carry out consistency check on the power consumption trend curves, and sequentially recursing until the consistency check on the power consumption trend curves is met.
6. The method of claim 1, wherein the determining a control strategy for the energy storage thermal management system based on the electro-thermal coupling map and the power usage condition trend comprises:
the method comprises the steps of adjusting the rotating speed of a compressor in an air conditioning unit to control refrigeration power, adjusting the rotating speed of a fan in a capacitor box to control heat exchange quantity, adjusting the rotating speed of a cooling water pump to control total flow of cooling liquid, and adjusting the opening of a flow regulating valve of a water tank to control the flow of each branch.
7. The method of claim 6, wherein determining whether the rotational speed of the blower is a maximum value, and if not, continuing to determine whether the temperature of the energy storage module exceeds a first preset condition after adjusting the rotational speed of the blower;
if the rotating speed of the fan is the maximum value, determining whether the flow of the flow regulating valve is the maximum value; if not, after increasing the flow of the flow regulating valve, continuously determining whether the temperature of the energy storage module exceeds a first preset condition;
if the flow of the flow regulating valve is the maximum value, determining whether the duty ratio of the cooling water pump is the maximum value; if not, increasing the duty ratio of the cooling water pump, and then continuously determining whether the temperature of the energy storage module exceeds a first preset condition;
if the duty ratio of the cooling water pump is the maximum value, determining whether the refrigerating power of a compressor in the air conditioning unit is the maximum value; if not, the refrigerating power of a compressor in the air conditioning unit is improved, and after the flow regulating valve of the energy storage module which is not over-heated is reduced, whether the temperature of the energy storage module exceeds a first preset condition is continuously determined.
8. The method of claim 2, wherein the electrical parameter comprises at least one of voltage, current, power, and internal resistance.
9. An energy storage thermal management system, comprising: a cooling module and an energy storage module;
the cooling module comprises an air conditioning unit, a cooling water pump and a water tank, wherein the first end of the air conditioning unit is connected with the cooling water pump, the second end of the air conditioning unit is connected with the water tank, and the cooling water pump and the water tank are respectively connected with the energy storage module;
the energy storage module comprises a capacitor box, the capacitor box is composed of a plurality of electric cores and a fan, and the water tank comprises a flow regulating valve.
10. A control device of an energy storage thermal management system, comprising:
the electric-thermal coupling spectrum determining module is used for forming an electric-thermal coupling spectrum of the electric core through an electric-thermal coupling simulation technology;
the prediction judging module is used for predicting and judging the power utilization trend of the energy storage module according to the rule characteristics of the daily power curve of the energy storage module;
and the control strategy determining module is used for forming a control strategy of the energy storage heat management system according to the electric-thermal coupling map and the electricity utilization condition trend.
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| CN117393911B (en) * | 2023-12-11 | 2024-04-16 | 江苏天合储能有限公司 | Thermal management method for energy storage system, energy management system, energy storage system and medium |
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