CN115034033A - Air conditioner model selection method - Google Patents
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Abstract
The invention relates to the field of air conditioner model selection of an energy storage device and provides an air conditioner model selection method. According to the method, the initial performance parameters of the air conditioner are obtained by adopting one-dimensional theoretical calculation according to the operation working condition of the energy storage device. And then building a one-dimensional numerical model and optimizing the initial performance parameters. Based on the optimization result, the model of the air conditioner is preliminarily selected, a three-dimensional simulation model of the energy storage device is built, and flow field simulation is carried out. When the calculation result meets the design requirement, determining the performance parameters and the model of the air conditioner; if the calculation result does not meet the requirement, the air conditioner model is readjusted or the air duct design is simulated again until the design requirement is met. The invention provides a method for combining one-dimensional theoretical calculation, one-dimensional numerical simulation and three-dimensional numerical simulation, effectively solves the problems of over-distribution and under-distribution in the air conditioner model selection process in the past, shortens the project development period, prolongs the service life of a battery and improves the market competitiveness of products.
Description
Technical Field
The invention relates to the field of air conditioner model selection of an energy storage device, in particular to an air conditioner model selection method.
Background
The energy storage is an important component and key technology of a smart grid, a renewable energy high-occupancy energy system and an energy internet. With the successive departure of relevant support policies of governments to the energy storage industry, the investment scale of the energy storage market is continuously increased, the industrial chain layout is continuously improved, the business model is diversified day by day, and the application scene is accelerated to extend. The energy storage device can improve the stability of a power grid system, can also perform peak clipping, valley filling and frequency modulation, and has the characteristics of small occupied area, flexible installation, mobility and the like.
Because the battery module in the energy storage device can generate a large amount of heat in operation, the temperature in the device is too high, the stability and the safety of the system operation are influenced, and a corresponding heat management design needs to be carried out on the battery module. The heat dissipation to energy memory mainly uses air conditioner forced air cooling heat dissipation to give first place to in the current market, and often carries out the lectotype according to the experience to the lectotype of air conditioner, causes the energy consumption height to appear in the in-service use process (over join in marriage), heat-sinking capability is not enough (underjoin in marriage) scheduling problem.
Disclosure of Invention
The invention relates to the field of air conditioner model selection of an energy storage device, and provides an air conditioner model selection method, which effectively solves the problems of over-distribution and under-distribution of an air conditioner caused by air conditioner model selection according to experience in the past.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
an air conditioner model selection method comprises the following steps:
s1: analyzing heat production and heat dissipation modes of the energy storage device so as to facilitate one-dimensional theoretical calculation of subsequent initial air conditioner parameters and prevent the over-distribution problem from occurring when the air conditioner model selection calculation is started;
s2: according to the heat production and heat dissipation modes, the initial air conditioner parameters are obtained by adopting one-dimensional theoretical calculation, so that an accurate calculation basis is provided for the subsequent optimization and adjustment of the air conditioner parameters, and the time consumption of repeated calculation and verification is saved;
s3: establishing a one-dimensional numerical model of the energy storage device, optimizing the initial air-conditioning parameters to obtain optimized air-conditioning parameters, basically determining the performance parameters of the air conditioner, and providing a more accurate calculation basis for the subsequent three-dimensional numerical simulation calculation;
s4: acquiring basic performance parameters of the air conditioner according to the optimized air conditioner parameters, performing initial model selection in a model library, and establishing a corresponding three-dimensional digital model according to the selected air conditioner so that a subsequent three-dimensional structural digital model is closer to a real structure, and a result of three-dimensional numerical simulation calculation is closer to an actual situation;
s5: and establishing a three-dimensional structure digital model of the energy storage device, performing heat dissipation three-dimensional numerical simulation calculation, comparing the calculated battery temperature with an allowable temperature range, and determining final air conditioner parameters and models to prevent the battery temperature which is finally calculated from exceeding the allowable temperature range and the air conditioner models from being under-matched.
Further, the establishing of the one-dimensional numerical model of the energy storage device to optimize the initial air conditioner parameters includes the following steps:
s31: according to the structural layout of the energy storage devices, a one-dimensional numerical model is built, so that the air-conditioning parameter calculation result of the subsequent one-dimensional numerical model is closer to the actual requirement;
s32: inputting initial air conditioner parameters and other structural parameters of the energy storage device to perform one-dimensional numerical simulation calculation to obtain battery temperature data and optimized air conditioner parameters;
s33: and judging whether the battery temperature data is within the allowable temperature range, if not, adjusting the initial air conditioner parameters to perform one-dimensional numerical simulation calculation again until the battery temperature data is within the allowable temperature range, so that the phenomenon of under-matching of the air conditioner selected according to the optimized air conditioner parameters can be avoided, and a more accurate calculation basis is provided for the next three-dimensional numerical simulation calculation.
Further, the method for establishing the three-dimensional structure digital model of the energy storage device, performing heat dissipation three-dimensional numerical simulation calculation, comparing the calculated battery temperature with an allowable temperature range, and determining the final air conditioner parameters and model comprises the following steps:
s51: according to the optimized air conditioner parameters and the three-dimensional digital analogy, a detailed three-dimensional structural digital analogy of the energy storage device is established, so that the result of the subsequent three-dimensional numerical simulation calculation is closer to the actual condition;
s52: simplifying, meshing and setting a model on a three-dimensional structure digital model of the energy storage device, so that three-dimensional numerical simulation calculation is faster and more accurate;
s53: performing heat dissipation three-dimensional numerical simulation calculation to obtain a temperature field in the energy storage device;
s54: analyzing whether the battery temperature data in the temperature field is within an allowable temperature range; if the temperature is within the allowable temperature range, the optimized air conditioner parameters and models meet the design requirements; if the temperature of the battery is not within the allowable temperature range, adjusting the initial air-conditioning parameters and the heat exchange coefficient of the outer wall surface of the energy storage device, returning to the step S3 to perform one-dimensional numerical simulation calculation again until the temperature data of the battery in the temperature field is within the allowable temperature range; the battery temperature obtained through final calculation is prevented from exceeding the allowable temperature range and under-matched phenomenon of the air conditioner model, the battery is ensured to work in a stable and proper temperature range, the service life of the battery is prolonged, and the market competitiveness of the product is improved.
Furthermore, the one-dimensional numerical simulation calculation adopts a genetic optimization algorithm or a sequence quadratic programming algorithm, so that the calculation is more accurate and faster.
Further, the heat dissipation three-dimensional numerical simulation calculation is carried out to obtain a flow field in the energy storage device, and whether a flow dead zone and an airflow short circuit exist in the air in the energy storage device is judged through analyzing the pressure distribution, the speed distribution and the flow chart in the flow field so as to further optimize the air quantity of an air duct and an air conditioner; through optimizing the wind channel, eliminate and flow blind spot and air current short circuit after for the radiating rate for under the condition that the battery temperature is not beyond the scope, reach the effect that reduces air conditioner refrigerating output, amount of wind and power, obtain whole device energy-concerving and environment-protective more. .
Furthermore, the simplification processing refers to removing rounding and chamfering in the three-dimensional structure digital model and structural features with small influence on heat transfer or flow field distribution so as to improve the subsequent grid division quality and reduce the time consumption of numerical calculation.
Further, whether the battery temperature data in the analysis temperature field is within the allowable temperature range or not means that a temperature monitoring point is arranged in the temperature field to monitor whether the maximum temperature value of the battery in the charging and discharging process exceeds the design allowable value of the battery or not.
Furthermore, the grid division is performed in a hexahedral structure grid form, so that the grid quality is improved, and the calculation time is reduced.
Furthermore, the model setting comprises selection of a turbulence model and setting of inlet and outlet boundary conditions, initial conditions and heat source parameters, so that a simulated calculation result is more consistent with actual conditions and accurate, and meanwhile, transient working conditions are calculated, and transient temperature data of the battery can be more accurately grasped and recorded.
Further, the one-dimensional theoretical calculation is adopted to obtain initial air conditioner parameters, namely the initial refrigerating output is obtained by integrating the data of the heat productivity of the battery, the heat absorption capacity of the battery, the heat leakage capacity of the external environment and the solar radiation heat through the one-dimensional theoretical calculation, the air conditioner is preliminarily selected according to the initial refrigerating output, the initial air quantity is determined according to the preliminary selection result, an accurate calculation basis is provided for the subsequent optimization and adjustment of the air conditioner parameters, and the time consumption of repeated calculation and verification is saved.
The invention relates to the field of air conditioner model selection of an energy storage device and provides an air conditioner model selection method. According to the method, through analyzing the heat production and heat dissipation modes of the energy storage device, various heat production points and heat dissipation points in the energy storage device are integrated, so that the one-dimensional theoretical calculation of the subsequent initial air conditioner parameters is facilitated, and the over-distribution problem caused by the initial air conditioner model selection calculation is prevented. And then, according to the heat production and heat dissipation modes, obtaining initial air conditioner parameters by adopting one-dimensional theoretical calculation, establishing a one-dimensional numerical model of the energy storage device, optimizing the initial air conditioner parameters to obtain optimized air conditioner parameters, providing a more accurate calculation basis for subsequent three-dimensional numerical simulation calculation, and saving the time consumed by repeated calculation and verification. And acquiring a three-dimensional digital analog of the air conditioner according to the optimized air conditioner parameters, establishing a three-dimensional structure digital analog of the energy storage device, performing heat dissipation three-dimensional numerical simulation calculation, comparing the calculated battery temperature with an allowable temperature range, and determining final air conditioner parameters and models to prevent the finally calculated battery temperature from exceeding the allowable temperature range and the air conditioner models from generating under-matched images. The invention provides a method combining theoretical calculation of one-dimensional theoretical calculation, one-dimensional numerical simulation and three-dimensional numerical simulation, which effectively solves the problems of over-distribution and under-distribution of the air conditioner caused by air conditioner model selection according to experience in the past, and the problem of air conditioner model selection can be solved through calculation in the whole process, thereby shortening the project development period and reducing the design development and later maintenance cost; meanwhile, the reasonable type selection of the air conditioner ensures that the battery works in a stable and proper temperature range, the service life of the battery is prolonged, and the market competitiveness of the product is improved.
Drawings
FIG. 1 is a schematic flow chart of an air conditioner model selection method;
FIG. 2 is a diagram of input and output parameters of a one-dimensional numerical model.
Detailed Description
The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure in the specification. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be carried into practice or applied to various other specific embodiments, and various modifications and changes may be made in the details within the description and the drawings without departing from the spirit of the disclosure. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without inventive step, are intended to be within the scope of the present disclosure.
Example one
Fig. 1 is a flow chart of an air conditioner model selection method, which includes the following steps:
s1: analyzing heat production and heat dissipation modes of the energy storage device, and mainly determining the heat production and heat dissipation principles of the energy storage device according to the size and model of the energy storage device, a use scene and the operation condition of a battery so as to facilitate one-dimensional theoretical calculation of subsequent initial air conditioner parameters and prevent the over-matching problem from occurring when the air conditioner type selection calculation is started;
s2: according to the heat production and heat dissipation modes, the initial air conditioner parameters are obtained by adopting one-dimensional theoretical calculation, so that an accurate calculation basis is provided for the subsequent optimization and adjustment of the air conditioner parameters, and the time consumption of repeated calculation and verification is saved;
s3: the method comprises the steps of establishing a one-dimensional numerical model of the energy storage device by referring to the overall structural layout of the battery in the energy storage device, performing one-dimensional numerical simulation calculation to optimize initial air-conditioning parameters to obtain optimized air-conditioning parameters, basically determining air-conditioning performance parameters, and providing a more accurate calculation basis for subsequent three-dimensional numerical simulation calculation;
s4: acquiring basic performance parameters of the air conditioner according to the optimized air conditioner parameters, performing primary model selection in a model library, establishing a corresponding three-dimensional digifax according to the selected air conditioner, or inquiring an air conditioner supplier with a corresponding model on the market according to the basic performance parameters and acquiring the three-dimensional digifax of the corresponding air conditioner, ensuring that the three-dimensional digifax of the air conditioner used for calculation is consistent with the actual supply condition, and preventing the final air conditioner model selection result from not corresponding to the final result of actual installation of the energy storage device and influencing the final heat dissipation use effect;
s5: and establishing a three-dimensional structure digital model of the energy storage device, performing heat dissipation three-dimensional numerical simulation calculation, comparing the calculated battery temperature with an allowable temperature range, and determining final air conditioner parameters and models to prevent the finally calculated battery temperature from exceeding the allowable temperature range and the air conditioner models from generating under-matched phenomenon.
In specific implementation, the operation conditions of the battery include the following conditions:
(a) charging at 0.5C for 2h, standing for 10h, discharging at 0.5C for 2h, and standing for 10 h;
(b) charging at 0.5C for 2h, standing for 10h, discharging at 1C for 1h, and standing for 11 h;
(c) charging at 0.2C for 5h, standing for 7h, discharging at 0.2C for 5h, and standing for 7 h;
(d) and others.
And C is the ratio, namely the multiplying power, representing the magnitude of the charging and discharging current of the battery, and whether an air conditioner is adopted for heat dissipation is selected according to the magnitude of the current of the battery in the charging and discharging processes. When the battery is charged and discharged under 0.2C, the heat can be dissipated naturally by communicating with the external environment without adopting an air conditioner. And for other working conditions above 0.2C, the adoption and the type selection of the air conditioner are required.
In specific implementation, the initial air conditioning parameters include an initial cooling capacity and an initial air volume; the initial air conditioning parameter obtained by adopting the one-dimensional theoretical calculation means that the energy storage device is usually placed in an outdoor environment, so under the normal working condition, the influence of the heat productivity of the battery, the heat absorption capacity of the battery, the heat leakage quantity of an external environment and the solar radiation heat on the temperature in the energy storage device is mainly adopted. The method comprises the steps of calculating the comprehensive heat productivity of the battery, the heat absorption capacity of the battery, the heat leakage capacity of the external environment and the solar radiation heat data by adopting a one-dimensional theory to obtain initial refrigerating capacity, performing initial model selection on the air conditioner according to the initial refrigerating capacity, determining the initial air volume according to the initial model selection result, providing an accurate calculation basis for subsequent optimization and adjustment of air conditioner parameters, and saving time consumed by repeated calculation and verification.
Heat generation amount Q of battery 1 The calculation formula is as follows:
Q 1 ＝q*n
wherein q is the heating power of the electric core, and n is the number of the electric core.
Heat absorption Q of the battery itself 2 The calculation formula is as follows:
Q 2 ＝C p *m*ΔT 1
wherein, C p Is specific heat capacity of the cell, m is total mass of the cell, Δ T 1 And (4) temperature rise of the battery core.
Heat of external environment Q 3 The calculation formula is as follows:
Q 3 ＝s*h*Δt 2
wherein s is a device meterArea, h is the heat transfer coefficient of the outer wall surface, Δ t 2 The temperature difference between the inner environment and the outer environment of the device.
Solar radiant heat Q 4 The calculation formula is as follows:
Q 4 ＝s*a
where a is the absorption rate of the box material.
Initial cooling capacity Q of air conditioner t The calculation formula of (a) is as follows:
Q t ＝Q 1 +Q 2 +Q 3 +Q 4
wherein Q is 1 Is the heat generation amount of the battery, Q 2 Is the heat absorption capacity of the battery itself, Q 3 Heat of external environment, Q 4 Is solar radiant heat.
In specific implementation, the establishing of the one-dimensional numerical model of the energy storage device and the one-dimensional numerical simulation calculation to optimize the initial air conditioner parameters include the following steps:
s31: according to the structural layout of the energy storage device, a one-dimensional numerical model is built by adopting one-dimensional numerical simulation software, so that the air-conditioning parameter calculation result of the subsequent one-dimensional numerical model is closer to the actual requirement;
s32: as shown in fig. 2, inputting initial air conditioning parameters and other structural parameters of the energy storage device to perform one-dimensional numerical simulation calculation, so as to obtain battery temperature data and optimized air conditioning parameters, where the battery temperature data obtained at this time includes a maximum temperature value and a maximum temperature difference value, and the optimized air conditioning parameters include optimized energy consumption, optimized cooling capacity and optimized air volume;
s33: judging whether the battery temperature data is within an allowable temperature range, if not, indicating that the obtained optimized air-conditioning parameters do not meet the heat dissipation requirement, adjusting the initial air-conditioning parameters, and performing one-dimensional numerical simulation calculation again until the battery temperature data is within the allowable temperature range; the air conditioner of the air conditioner parameter selection type after optimizing can not appear the phenomenon of undermatching, provides more accurate calculation basis for the three-dimensional numerical simulation calculation of next step.
Other structural parameters of the energy storage device in the step S32 include density, specific heat capacity, and thermal conductivity of the battery core, density, specific heat capacity, and thermal conductivity of the battery rack, a current MAP of battery operation, longitude and latitude coordinates of the energy storage container, an external environment temperature of the energy storage container, a heat exchange coefficient of an external wall surface of the energy storage container, a wall surface thickness and thermal conductivity of the energy storage container, and the like.
The one-dimensional numerical simulation calculation adopts a genetic optimization algorithm or a sequence quadratic programming algorithm, so that the calculation is more accurate and faster.
In specific implementation, the method for establishing the three-dimensional structure digital-analog of the energy storage device, performing heat dissipation three-dimensional numerical simulation calculation, comparing the calculated battery temperature with the allowable temperature range, and determining the final air conditioner parameters and model comprises the following steps:
s51: according to the optimized air conditioner parameters and the three-dimensional digital analogy, a detailed three-dimensional structural digital analogy of the energy storage device is established, so that the result of the subsequent three-dimensional numerical simulation calculation is closer to the actual condition;
s52: simplifying, meshing and setting a model of a three-dimensional structure digital model of the energy storage device in fluid mechanics analysis software, so that three-dimensional numerical simulation calculation is faster and more accurate;
s53: performing heat dissipation three-dimensional numerical simulation calculation to obtain a temperature field in the energy storage device;
s54: analyzing whether the battery temperature data in the temperature field is within an allowable temperature range; if the temperature is within the allowable temperature range, the optimized air conditioner parameters and model meet the design requirements, and finally the parameters and model of the air conditioner are determined; if the temperature of the battery is not within the allowable temperature range, after the initial air conditioning parameters and the heat exchange coefficient of the outer wall surface of the energy storage device are adjusted, returning to the step S3 to perform one-dimensional numerical simulation calculation again until the temperature data of the battery in the temperature field is within the allowable temperature range; the battery temperature obtained through final calculation is prevented from exceeding the allowable temperature range and the phenomenon of under-distribution of the air conditioner model is prevented, the battery is ensured to work in a stable and proper temperature range, the service life of the battery is prolonged, and the market competitiveness of the product is improved.
The heat dissipation three-dimensional numerical simulation calculation is carried out to obtain a flow field in the energy storage device, and whether a flow dead zone and an airflow short circuit exist in the air in the energy storage device is judged through analyzing the pressure distribution, the speed distribution and the flow chart in the flow field so as to further optimize the air duct and the air volume of the air conditioner; through optimizing the wind channel, eliminate the dead zone that flows and behind the air current short circuit for the radiating rate for under the condition that the battery temperature is not in excess of the scope, reach the effect that reduces air conditioner refrigerating output, amount of wind and power, obtain that whole device is energy-concerving and environment-protective more.
The analysis of whether the battery temperature data in the temperature field is within the allowable temperature range means that a temperature monitoring point is arranged in the temperature field to monitor whether the maximum temperature value of the monitoring point exceeds the design allowable value of the battery in the charging and discharging process of the battery. When the maximum temperature value of the monitoring point does not exceed the design permission value, the optimized air conditioner parameter meets the requirement, and if the maximum temperature value exceeds the design permission value, flow field optimization is needed or the refrigerating capacity or the air output of the air conditioner is needed to be adjusted.
The simplification processing refers to removing rounding and chamfering in the three-dimensional structure digital model and structural features with small influence on heat transfer or flow field distribution so as to improve the subsequent grid division quality and reduce the time consumption of numerical calculation. The gridding is to perform gridding on the simplified digital-analog with the three-dimensional structure, and comprises gridding of a fluid domain (air) and a fixed domain (parts such as a battery, a battery rack and a container body). The grid division is carried out in a hexahedral structure grid form so as to improve the grid quality and reduce the time consumption of calculation. The model setting comprises selection of a turbulence model and setting of inlet and outlet boundary conditions, initial conditions and heat source parameters, so that a simulated calculation result is more consistent with actual conditions and accurate, and meanwhile, transient working conditions are calculated, and transient temperature data of the battery can be more accurately grasped and recorded.
The invention relates to the field of air conditioner model selection of an energy storage device and provides an air conditioner model selection method. The method integrates various heat generating points and heat radiating points in the energy storage device by analyzing the heat generating and heat radiating modes of the energy storage device so as to facilitate one-dimensional theoretical calculation of subsequent initial air conditioner parameters and prevent the over-matching problem from occurring when the air conditioner type selection calculation is started. And then, according to the heat production and heat dissipation modes, obtaining initial air conditioner parameters by adopting one-dimensional theoretical calculation, establishing a one-dimensional numerical model of the energy storage device, optimizing the initial air conditioner parameters to obtain optimized air conditioner parameters, providing a more accurate calculation basis for subsequent three-dimensional numerical simulation calculation, and saving the time consumed by repeated calculation and verification. And acquiring a three-dimensional digital analog of the air conditioner according to the optimized air conditioner parameters, establishing a three-dimensional structure digital analog of the energy storage device, performing heat dissipation three-dimensional numerical simulation calculation, comparing the calculated battery temperature with an allowable temperature range, and determining final air conditioner parameters and models to prevent the finally calculated battery temperature from exceeding the allowable temperature range and the air conditioner models from generating under-matched images. The invention provides a method combining theoretical calculation of one-dimensional theoretical calculation, one-dimensional numerical simulation and three-dimensional numerical simulation, which effectively solves the problems of over-distribution and under-distribution of the air conditioner caused by air conditioner model selection according to experience in the past, and the problem of air conditioner model selection can be solved through calculation in the whole process, thereby shortening the project development period and reducing the design development and later maintenance cost; meanwhile, the reasonable type selection of the air conditioner ensures that the battery works in a stable and proper temperature range, the service life of the battery is prolonged, and the market competitiveness of the product is improved.
The above description is for the purpose of illustrating embodiments of the invention and is not intended to limit the invention, and it will be apparent to those skilled in the art that any modification, equivalent replacement, or improvement made without departing from the spirit and principle of the invention shall fall within the protection scope of the invention.
Claims (10)
1. The air conditioner model selection method is characterized by comprising the following steps:
s1: analyzing heat production and heat dissipation modes of the energy storage device;
s2: according to the heat production and heat dissipation modes, calculating by adopting a one-dimensional theory to obtain initial air conditioner parameters;
s3: establishing a one-dimensional numerical model of the energy storage device, and optimizing initial air-conditioning parameters;
s4: acquiring basic performance parameters of the air conditioner according to the optimized air conditioner parameters, performing initial model selection in a model library, and establishing a corresponding three-dimensional digital model according to the selected air conditioner;
s5: and establishing a three-dimensional structure digital model of the energy storage device, performing heat dissipation three-dimensional numerical simulation calculation, comparing the calculated battery temperature with an allowable temperature range, and determining final air conditioner parameters and models.
2. The air conditioner model selection method according to claim 1, wherein the establishing of the one-dimensional numerical model of the energy storage device for optimizing the initial air conditioner parameters comprises the following steps:
s31: building a one-dimensional numerical model according to the structural layout of the energy storage device;
s32: inputting initial air conditioner parameters and other structural parameters of the energy storage device to perform one-dimensional numerical simulation calculation to obtain battery temperature data and optimized air conditioner parameters;
s33: and judging whether the battery temperature data is within the allowable temperature range, if not, adjusting the initial air-conditioning parameters to perform one-dimensional numerical simulation calculation again until the battery temperature data is within the allowable temperature range.
3. The air conditioner model selection method according to claim 1, wherein the step of establishing a three-dimensional structure digital model of the energy storage device, performing heat dissipation three-dimensional numerical simulation calculation, comparing the calculated battery temperature with an allowable temperature range, and determining final air conditioner parameters and models comprises the following steps:
s51: establishing a detailed three-dimensional structure digital model of the energy storage device according to the optimized air conditioner parameters and the three-dimensional digital model;
s52: simplifying, meshing and setting a model of a three-dimensional structure digital model of the energy storage device;
s53: performing heat dissipation three-dimensional numerical simulation calculation to obtain a temperature field in the energy storage device;
s54: analyzing whether the battery temperature data in the temperature field is within an allowable temperature range; if the temperature is within the allowable temperature range, the optimized air conditioner parameters and model meet the design requirements; if the temperature is not within the allowable temperature range, the initial air conditioning parameters and the heat exchange coefficient of the outer wall surface of the energy storage device are adjusted, and then the step returns to the step S3 to perform one-dimensional numerical simulation calculation again until the battery temperature data in the temperature field is within the allowable temperature range.
4. The air conditioner model selection method as claimed in claim 2, wherein the one-dimensional numerical simulation calculation employs a genetic optimization algorithm or a sequential quadratic programming algorithm.
5. The air conditioner model selection method as claimed in claim 3, wherein the heat dissipation three-dimensional numerical simulation calculation further obtains a flow field in the energy storage device, and whether a flow dead zone and an airflow short circuit exist in the air in the energy storage device is judged through analysis of pressure distribution, velocity distribution and a flow chart in the flow field, so as to further optimize air ducts and air conditioner air volume.
6. The air conditioner model selection method as claimed in claim 3, wherein the simplification processing refers to eliminating rounding and chamfering in the three-dimensional structure digifax and the structural features having small influence on heat transfer or flow field distribution so as to improve the quality of subsequent grid division and reduce the time consumption of numerical calculation.
7. The air conditioner model selection method according to claim 3, wherein the analysis of whether the battery temperature data in the temperature field is within the allowable temperature range means that a temperature monitoring point is set in the temperature field to monitor whether the maximum temperature value of the battery in the charging and discharging process exceeds the design allowable value of the battery.
8. The air conditioner type selection method according to claim 3, wherein the grid division is performed in a hexahedral structure grid form to improve grid quality and reduce computation time.
9. The air conditioner model selection method as claimed in claim 3, wherein the model setting includes selection of a turbulence model and setting of inlet and outlet boundary conditions, initial conditions and heat source parameters.
10. The air conditioner model selection method according to any one of claims 1 to 9, wherein the obtaining of the initial air conditioner parameters by one-dimensional theoretical calculation means that the initial refrigerating capacity is obtained by one-dimensional theoretical calculation by integrating data of battery heating capacity, battery self heat absorption capacity, external environment heat leakage capacity and solar radiation heat, the air conditioner is preliminarily selected according to the initial refrigerating capacity, and the initial air volume is determined according to a preliminary model selection result.
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