Electric vehicle water cooling refrigeration performance calculation method, device, storage medium and equipment

Abstract

The present invention discloses a method, device, storage medium and equipment for calculating the water-cooling refrigeration performance of electric vehicles, which belongs to the technical field of pure electric commercial vehicles. The method for calculating the water-cooling refrigeration performance of electric vehicles includes: obtaining the bench performance data of the compressor and the bench performance data of the condenser of the target vehicle; determining the condenser air intake of the water-cooling unit of the target vehicle according to the bench performance data of the condenser; marking the cooling air passing through the condenser as a passive scalar according to the bench performance data of the compressor, and obtaining the passive scalar interval. The present invention is based on the bench performance data of the components of the water-cooling unit of the target vehicle, and uses computational fluid dynamics to obtain the condenser air intake of the water-cooling unit of the target vehicle, and obtains the accurate condenser air intake temperature through the condenser air intake, and then determines the refrigeration effect of the water-cooling unit of the target vehicle, avoiding the use of simple formula matching or experimental testing, and has the effect of accurately matching the verification result with the actual working condition of the water-cooling unit.

Description

Technical Field

[0001] The invention discloses a method, a device, a storage medium and equipment for calculating the water-cooling refrigeration performance of an electric vehicle, and belongs to the technical field of pure electric commercial vehicles. Background Art

[0002] With the rapid development of the electric vehicle industry, commercial truck electrification technology is also changing with each passing day, with high power and long driving range being important development directions. However, for lithium-ion power batteries, the operating temperature has a significant impact on their performance and lifespan, and the optimum operating temperature is about 25°C to 40°C, with a temperature difference of within 5°C.

[0003] Pure electric heavy trucks are mostly operated in harsh conditions, with high requirements for charging and discharging efficiency. During high current charging and discharging, Joule heat and chemical reactions generate a large amount of heat that accumulates locally, raising the battery temperature and causing a temperature difference. In severe cases, thermal runaway may occur. Using a water cooling unit to dissipate heat from pure electric heavy truck batteries is a common method at present. However, using simple formula matching or experimental testing may result in insufficient matching accuracy or require waiting for prototype production, which may lead to a long development cycle and excessive costs. Summary of the invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and to provide a method, device, storage medium and equipment for calculating the water-cooling refrigeration performance of electric vehicles, so as to accurately determine the refrigeration capacity of the water-cooling unit and verify that the result accurately matches the actual working condition of the water-cooling unit, thereby solving the current problem of low accuracy in evaluating the water cooling performance of the water-cooling unit of pure electric heavy trucks.

[0005] In order to achieve the above purpose / solve the above technical problems, the present invention is implemented by adopting the following technical solutions:

[0006] A first aspect of the present invention provides a method for calculating the water cooling performance of an electric vehicle, comprising:

[0007] Obtain the target vehicle compressor bench performance data and condenser bench performance data;

[0008] Determine the condenser air intake volume of the target vehicle water cooling unit based on the condenser bench performance data;

[0009] According to the performance data of the compressor bench, the cooling air passing through the condenser is marked as a passive scalar, and the passive scalar interval is obtained;

[0010] Get the maximum temperature of the condenser at the target temperature;

[0011] Calculating the condenser inlet air temperature according to the passive scalar interval, the maximum temperature of the condenser, and the condenser inlet air volume;

[0012] The cooling effect of the water cooling unit of the target vehicle is determined based on the condenser inlet air volume and the condenser inlet air temperature.

[0013] Furthermore, according to the compressor stand performance data, the cooling air passing through the condenser is marked as a passive scalar, and the passive scalar interval is obtained, including:

[0014] Based on the passive scalar, the passive scalar interval of the unit corresponding to the target vehicle water cooling unit and the passive scalar interval of the condenser corresponding to the condenser are calculated respectively by computational fluid dynamics.

[0015] Further, the calculating of the condenser inlet air temperature according to the passive scalar interval, the maximum temperature of the condenser, and the condenser inlet air volume includes:

[0016] Dividing the target temperature and the maximum temperature of the condenser into a first temperature interval;

[0017] The first temperature interval is converted into the unit passive scalar interval, and the second temperature interval corresponding to the condenser passive scalar interval is determined;

[0018] The condenser inlet air temperature is calculated according to the second temperature range and the condenser inlet air volume.

[0019] Furthermore, the first temperature interval is converted into the unit passive scalar interval to determine the second temperature interval corresponding to the condenser passive scalar interval, including:

[0020] ;

[0021] ;

[0022] Among them: The first temperature interval is , represents the endpoint temperature value of the first temperature interval, represents the target temperature, Indicates the maximum temperature of the condenser at the target temperature;

[0023] The passive scalar interval of the unit is , Indicates the endpoint value of the unit's passive scalar interval;

[0024] The second temperature range is , represents the endpoint temperature value of the second temperature interval;

[0025] The passive scalar range of the condenser is , Indicates the endpoint value of the passive scalar interval of the condenser.

[0026] Furthermore, the calculating the condenser inlet air temperature according to the second temperature range and the condenser inlet air volume includes:

[0027] Segment the passive scalar interval of the condenser corresponding to the second temperature interval to obtain a plurality of passive scalar segmentation intervals of the condenser;

[0028] Calculate the average temperature of the second temperature interval corresponding to the passive scalar segmentation interval of each condenser;

[0029] Based on the condenser air intake of the target vehicle water cooling unit, the interval air intake corresponding to each condenser passive scalar segmentation interval is calculated by computational fluid dynamics;

[0030] The condenser inlet air temperature is calculated according to the average temperature of the second temperature interval corresponding to each condenser passive scalar segmentation interval and the interval inlet air volume.

[0031] Furthermore, the calculation of the condenser inlet air temperature according to the average temperature of the second temperature interval corresponding to each condenser passive scalar segmentation interval and the interval inlet air volume includes:

[0032] ;

[0033] in: T Indicates the condenser inlet air temperature. I represents the number of intervals of passive scalar division of the condenser, Indicates i The air volume of each condenser passive scalar segmentation interval, T i Indicates i The passive scalar segmentation interval of each condenser corresponds to the average temperature of the second temperature interval.

[0034] Further, determining the condenser air intake volume of the target vehicle water cooling unit according to the condenser bench performance data includes: using computational fluid dynamics to calculate the condenser air intake volume of the target vehicle water cooling unit according to the condenser bench performance data.

[0035] A second aspect of the present invention provides a device for calculating water cooling performance of an electric vehicle, comprising:

[0036] The first acquisition module is used to acquire the compressor bench performance data and the condenser bench performance data of the target vehicle;

[0037] The first calculation module is used to determine the condenser air intake volume of the target vehicle water cooling unit according to the condenser bench performance data;

[0038] The second calculation module is used to mark the cooling air passing through the condenser as a passive scalar according to the performance data of the compressor test bench, and obtain the passive scalar interval;

[0039] A second acquisition module is used to acquire the maximum temperature of the condenser at the target temperature;

[0040] A third calculation module, used for calculating the condenser inlet air temperature according to the passive scalar interval, the maximum temperature of the condenser, and the condenser inlet air volume;

[0041] The processing module is used to determine the cooling effect of the water cooling unit of the target vehicle based on the condenser inlet air volume and the condenser inlet air temperature.

[0042] A third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for calculating the water-cooling refrigeration performance of an electric vehicle.

[0043] A fourth aspect of the present invention provides a computer device, comprising:

[0044] A memory for storing instructions;

[0045] The processor is used to execute the instructions so that the device executes the above-mentioned electric vehicle water cooling refrigeration performance calculation method.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] 1. The present invention is based on the component bench performance data of the target vehicle water-cooling unit, uses computational fluid dynamics to obtain the condenser air intake volume of the target vehicle water-cooling unit, obtains the accurate condenser air intake temperature through the condenser air intake volume, and then determines the cooling effect of the target vehicle water-cooling unit, avoiding the use of simple formula matching or experimental testing, and has the effect of accurately determining the cooling capacity of the water-cooling unit and accurately matching the verification result with the actual working condition of the water-cooling unit, solving the current problem of low accuracy in evaluating the water cooling performance of pure electric heavy-duty truck water-cooling units.

[0048] 2. The present invention adopts a method of adding a passive scalar source term to computational fluid dynamics when obtaining the accurate condenser inlet air temperature through the condenser inlet air volume, marks the cooling air passing through the condenser as a passive scalar, and converts the highest temperature of the condenser at the target temperature into a first temperature interval. The passive scalar is used to obtain the second temperature interval corresponding to the condenser, and then the condenser passive scalar interval corresponding to the second temperature interval is segmented, thereby providing an accurate condenser inlet air temperature for determining the cooling effect of the target vehicle water cooling unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a flowchart of an electric vehicle water cooling refrigeration performance calculation method, device, storage medium and equipment embodiment of the present invention;

[0050] Figure 2 It is a schematic diagram of the passive scalar interval of a unit of a method, device, storage medium and equipment for calculating the water-cooling refrigeration performance of an electric vehicle according to the present invention;

[0051] Figure 3 It is a schematic diagram of a passive scalar interval of a condenser of a method, device, storage medium and equipment for calculating water-cooling refrigeration performance of an electric vehicle according to the present invention;

[0052] Figure 4 The present invention is a schematic diagram of passive scalar interval segmentation of a condenser of a method, device, storage medium and equipment for calculating water-cooling refrigeration performance of an electric vehicle. DETAILED DESCRIPTION

[0053] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0054] Example 1

[0055] like Figure 1 As shown, a method for calculating the water cooling performance of an electric vehicle includes:

[0056] Obtain the target vehicle compressor bench performance data and condenser bench performance data;

[0057] Input the condenser bench performance data of the target vehicle water cooling unit into the computational fluid dynamics (CFD) model to calculate the condenser air intake volume of the target vehicle water cooling unit;

[0058] According to the performance data of the compressor bench, the cooling air passing through the condenser is marked as a passive scalar, and the passive scalar interval is obtained, including: based on the passive scalar, the passive scalar interval of the unit corresponding to the target vehicle water cooling unit and the passive scalar interval of the condenser corresponding to the condenser are calculated by computational fluid dynamics;

[0059] The condenser inlet air temperature is calculated according to the passive scalar interval, the maximum temperature of the condenser, and the condenser inlet air volume. Specifically:

[0060] like Figure 2 and Figure 3 As shown, in this example, the target temperature is 40°C. According to the performance data of the condenser bench, the maximum temperature of the condenser is 60°C at 40°C. Based on the performance data of the condenser bench, the passive scalar range of the unit can be calculated as , condenser passive scalar interval ;

[0061] The condenser inlet air temperature is calculated based on the passive scalar interval, the maximum temperature of the condenser at the target temperature, and the condenser inlet air volume of the target vehicle water cooling unit, including:

[0062] The target temperature and the highest temperature of the condenser at the target temperature are divided into the first temperature interval , unit ℃, then the passive scalar value corresponding to 40℃ is , the passive scalar value corresponding to 60℃ is 0.0906;

[0063] The first temperature interval is converted into the unit passive scalar interval, and the second temperature interval corresponding to the condenser passive scalar interval is determined, including:

[0064] ;

[0065] ;

[0066] Among them: The first temperature interval is , represents the endpoint temperature value of the first temperature interval, represents the target temperature, Indicates the maximum temperature of the condenser at the target temperature;

[0067] The passive scalar interval of the unit is , Indicates the endpoint value of the unit's passive scalar interval;

[0068] The second temperature range is , represents the endpoint temperature value of the second temperature interval;

[0069] The passive scalar range of the condenser is , represents the endpoint value of the passive scalar interval of the condenser;

[0070] The second temperature range can be calculated as , unit ℃, the temperature difference is about 2.719℃;

[0071] According to the second temperature range and the condenser air inlet volume of the target vehicle water cooling unit, the condenser air inlet temperature is calculated, including:

[0072] like Figure 4 As shown, the passive scalar interval of the condenser corresponding to the second temperature interval is segmented to obtain multiple passive scalar segmented intervals of the condenser. In this embodiment, the passive scalar interval of the condenser is divided into 10 intervals, and the temperature difference of each interval is 0.2719°C;

[0073] Calculate the average temperature of the second temperature interval corresponding to the passive scalar segmentation interval of each condenser;

[0074] Based on the condenser air intake of the target vehicle water cooling unit, the interval air intake corresponding to each condenser passive scalar segmentation interval is calculated by computational fluid dynamics;

[0075] According to the average temperature of the second temperature interval corresponding to each condenser passive scalar segmentation interval and the interval inlet air volume, the condenser inlet air temperature is calculated, including:

[0076] ;

[0077] in: T Indicates the condenser inlet air temperature. I represents the number of intervals of passive scalar division of the condenser, Indicates i The air volume of each condenser passive scalar segmentation interval, T i Indicates i The passive scalar segmentation interval of each condenser corresponds to the average temperature of the second temperature interval. The calculation shows that the condenser inlet air volume is about 814.47 g / s and the average inlet air temperature is about 47.59 °C.

[0078] Based on the condenser inlet air volume and the condenser inlet air temperature, the refrigeration effect of the target vehicle water cooling unit is determined, specifically:

[0079] Obtain the heat exchanger bench performance data and expansion valve bench performance data of the target vehicle water cooling unit;

[0080] The compressor bench performance data, heat exchanger bench performance data, expansion valve bench performance data, condenser inlet air temperature, and condenser inlet air volume were input into the battery water cycle and refrigerant cycle models pre-built in the 1D software, and the heat exchange capacity of the plate heat exchanger was obtained to be 124597W, that is, the cooling capacity was 12.4597KW. Combined with the condenser inlet air temperature of 47.59℃, which was 7.59℃ higher than the ambient temperature of 40℃, an accurate refrigeration performance evaluation result was obtained.

[0081] Example 2

[0082] A device for calculating water cooling performance of an electric vehicle, comprising:

[0083] The first acquisition module is used to acquire the compressor bench performance data and the condenser bench performance data of the target vehicle;

[0084] The first calculation module is used to determine the condenser air intake volume of the target vehicle water cooling unit according to the condenser bench performance data;

[0085] The second calculation module is used to mark the cooling air passing through the condenser as a passive scalar according to the performance data of the compressor test bench, and obtain the passive scalar interval;

[0086] A second acquisition module is used to acquire the maximum temperature of the condenser at the target temperature;

[0087] A third calculation module is used to calculate the condenser inlet air temperature according to the passive scalar interval, the maximum temperature of the condenser, and the condenser inlet air volume;

[0088] The processing module is used to determine the cooling effect of the water cooling unit of the target vehicle based on the condenser inlet air volume and the condenser inlet air temperature.

[0089] Example 3

[0090] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the following method:

[0091] Obtain the target vehicle compressor bench performance data and condenser bench performance data;

[0092] Determine the condenser air intake volume of the target vehicle water cooling unit based on the condenser bench performance data;

[0093] According to the performance data of the compressor bench, the cooling air passing through the condenser is marked as a passive scalar, and the passive scalar interval is obtained;

[0094] Get the maximum temperature of the condenser at the target temperature;

[0095] Calculate the condenser inlet air temperature according to the passive scalar interval, the maximum condenser temperature, and the condenser inlet air volume;

[0096] The cooling effect of the water cooling unit of the target vehicle is determined based on the condenser inlet air volume and condenser inlet air temperature.

[0097] Example 4

[0098] A computer device comprising:

[0099] A memory for storing instructions;

[0100] The processor is used to execute instructions so that the device performs the steps of implementing the following method:

[0101] Obtain the target vehicle compressor bench performance data and condenser bench performance data;

[0102] Determine the condenser air intake volume of the target vehicle water cooling unit based on the condenser bench performance data;

[0103] According to the performance data of the compressor bench, the cooling air passing through the condenser is marked as a passive scalar, and the passive scalar interval is obtained;

[0104] Get the maximum temperature of the condenser at the target temperature;

[0105] Calculate the condenser inlet air temperature according to the passive scalar interval, the maximum condenser temperature, and the condenser inlet air volume;

[0106] The cooling effect of the water cooling unit of the target vehicle is determined based on the condenser inlet air volume and condenser inlet air temperature.

[0107] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0108] The present application is described with reference to the flowcharts of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process in the flowchart can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A function specified in a process or multiple processes.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 The steps of a specified function in a process or multiple processes.

[0111] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

Claims

1. A method for calculating the water cooling performance of an electric vehicle, characterized in that: include: Obtain the target vehicle compressor bench performance data and condenser bench performance data; Determine the condenser air intake volume of the target vehicle water cooling unit based on the condenser bench performance data; According to the performance data of the compressor bench, the cooling air passing through the condenser is marked as a passive scalar, and the passive scalar interval is obtained, including: Based on the passive scalar, the passive scalar interval of the unit corresponding to the target vehicle water cooling unit and the passive scalar interval of the condenser corresponding to the condenser are calculated by computational fluid dynamics. Get the maximum temperature of the condenser at the target temperature; Calculating the condenser inlet air temperature according to the passive scalar interval, the maximum temperature of the condenser, and the condenser inlet air volume, including: Dividing the target temperature and the maximum temperature of the condenser into a first temperature interval; The first temperature interval is converted into the unit passive scalar interval, and the second temperature interval corresponding to the condenser passive scalar interval is determined, including: Among them: The first temperature interval is , represents the endpoint temperature value of the first temperature interval, represents the target temperature, Indicates the maximum temperature of the condenser at the target temperature; The passive scalar interval of the unit is , Indicates the endpoint value of the unit's passive scalar interval; The second temperature range is , represents the endpoint temperature value of the second temperature interval; The passive scalar range of the condenser is , represents the endpoint value of the passive scalar interval of the condenser; Calculating the condenser inlet air temperature according to the second temperature range and the condenser inlet air volume; The cooling effect of the water cooling unit of the target vehicle is determined based on the condenser inlet air volume and the condenser inlet air temperature.

2. The electric vehicle water cooling performance calculation method according to claim 1 is characterized in that: The calculating the condenser inlet air temperature according to the second temperature range and the condenser inlet air volume includes: Segment the passive scalar interval of the condenser corresponding to the second temperature interval to obtain a plurality of passive scalar segmentation intervals of the condenser; Calculate the average temperature of the second temperature interval corresponding to the passive scalar segmentation interval of each condenser; Based on the condenser air intake of the target vehicle water cooling unit, the interval air intake corresponding to each condenser passive scalar segmentation interval is calculated by computational fluid dynamics; The condenser inlet air temperature is calculated according to the average temperature of the second temperature interval corresponding to each condenser passive scalar segmentation interval and the interval inlet air volume.

3. The electric vehicle water cooling performance calculation method according to claim 2 is characterized in that: The step of calculating the condenser inlet air temperature according to the average temperature of the second temperature interval corresponding to each condenser passive scalar segmentation interval and the interval inlet air volume comprises: ;in: T Indicates the condenser inlet air temperature. I represents the number of intervals of passive scalar division of the condenser, Indicates i The air volume of each condenser passive scalar segmentation interval, T i Indicates i The passive scalar segmentation interval of each condenser corresponds to the average temperature of the second temperature interval.

4. The electric vehicle water cooling performance calculation method according to claim 1, characterized in that: Determining the condenser air intake volume of the target vehicle water cooling unit according to the condenser bench performance data includes: using computational fluid dynamics to calculate the condenser air intake volume of the target vehicle water cooling unit according to the condenser bench performance data.

5. A device for calculating the water cooling performance of an electric vehicle, characterized in that: include: The first acquisition module is used to acquire the compressor bench performance data and the condenser bench performance data of the target vehicle; The first calculation module is used to determine the condenser air intake volume of the target vehicle water cooling unit according to the condenser bench performance data; The second calculation module is used to mark the cooling air passing through the condenser as a passive scalar according to the compressor bench performance data, and obtain the passive scalar interval, including: Based on the passive scalar, the passive scalar interval of the unit corresponding to the target vehicle water cooling unit and the passive scalar interval of the condenser corresponding to the condenser are calculated by computational fluid dynamics. A second acquisition module is used to acquire the maximum temperature of the condenser at the target temperature; The third calculation module is used to calculate the condenser inlet air temperature according to the passive scalar interval, the maximum temperature of the condenser, and the condenser inlet air volume, including: Dividing the target temperature and the maximum temperature of the condenser into a first temperature interval; The first temperature interval is converted into the unit passive scalar interval, and the second temperature interval corresponding to the condenser passive scalar interval is determined, including: Among them: The first temperature interval is , represents the endpoint temperature value of the first temperature interval, represents the target temperature, Indicates the maximum temperature of the condenser at the target temperature; The passive scalar interval of the unit is , Indicates the endpoint value of the unit's passive scalar interval; The second temperature range is , represents the endpoint temperature value of the second temperature interval; The passive scalar range of the condenser is , represents the endpoint value of the passive scalar interval of the condenser; Calculating the condenser inlet air temperature according to the second temperature range and the condenser inlet air volume; The processing module is used to determine the cooling effect of the water cooling unit of the target vehicle based on the condenser inlet air volume and the condenser inlet air temperature.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the electric vehicle water cooling performance calculation method according to any one of claims 1 to 4 is implemented.

7. A computer device, characterized in that: include: A memory for storing instructions; A processor is used to execute the instruction so that the device executes the electric vehicle water cooling refrigeration performance calculation method as described in any one of claims 1 to 4.

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