An intelligent test and evaluation system for new energy battery cooling equipment

Abstract

The present invention discloses an intelligent testing and evaluation system for new energy battery heat dissipation equipment, which belongs to the technical field of battery pack liquid cooling plate performance testing, and includes a pressure test module, a vibration test module, an air tightness test module, a heat dissipation performance test module and a comprehensive scoring module. The present invention dynamically adjusts the coolant injection rate according to the deformation characterization parameter, which can effectively avoid improper pressure control during the test, resulting in premature rupture of the liquid cooling plate, causing waste of resources, and thus failing to accurately evaluate the pressure resistance of the liquid cooling plate; and uses the maximum deformation gap product to characterize the reliability of the liquid cooling plate, avoiding the problem that the previous detection and characterization methods are too single, resulting in the problem that the accuracy of the vibration test results is not high enough; it can also accurately calculate the performance status score of the current liquid cooling plate based on the results of various tests, and realize the performance status evaluation of the current liquid cooling plate, thereby facilitating accurate performance evaluation of the current batch of liquid cooling plates.

Description

Technical Field

[0001] The present invention relates to the technical field of battery pack liquid cooling plate performance testing, and in particular to an intelligent testing and evaluation system for new energy battery heat dissipation equipment. Background Art

[0002] New energy electric vehicles are a type of new energy vehicles, which also include plug-in hybrid electric vehicles, hybrid electric vehicles, extended-range electric vehicles, mild hybrid system vehicles, and fuel cell vehicles. New energy electric vehicles specifically refer to pure electric vehicles that use rechargeable batteries (such as lithium iron phosphate, ternary lithium, etc.) to provide power sources to drive the vehicle. The working principle of new energy electric vehicles is mainly that the battery provides current, which is transmitted to the motor through the power regulator, and then the power transmission system drives the vehicle. Its key components include drive motors, speed controllers, power batteries, and on-board chargers. There are various types of motors, such as DC brushed, brushless, permanent magnet, and electromagnetic, and the speed control is divided into stepped and stepless.

[0003] The battery cooling equipment of new energy electric vehicles usually refers to the battery pack liquid cooling plate. When evaluating the performance of the liquid cooling plate product, it is usually necessary to conduct corresponding performance tests to evaluate the performance status of the liquid cooling plate, obtain the performance status scores of multiple liquid cooling plates in a batch and perform the corresponding mean calculation, and use the calculation results as the performance evaluation results of the current batch of liquid cooling plates, thereby realizing the performance evaluation of the current batch of liquid cooling plates.

[0004] Performance testing generally includes pressure resistance test, vibration test, air tightness test, heat dissipation performance test, etc. The pressure resistance test is used to verify the pressure resistance and safety performance of the liquid cooling plate. The vibration test is used to evaluate the reliability of the liquid cooling plate in long-term use. The air tightness test is used to prevent liquid leakage from causing abnormal battery temperature, performance degradation or safety accidents. The heat dissipation performance test is used to test the heat dissipation performance of the liquid cooling plate using relevant sensors.

[0005] However, in the existing pressure test process, improper pressure control during the test often causes the liquid cooling plate to rupture prematurely, resulting in a waste of resources, and thus the pressure resistance performance of the liquid cooling plate cannot be accurately evaluated. In addition, during the vibration test, the detection and characterization methods are too single, resulting in the vibration test results being not accurate enough, and thus the final performance evaluation results are not accurate enough. The above problems need to be solved urgently, and for this purpose, an intelligent test and evaluation system for new energy battery cooling equipment is proposed. Summary of the invention

[0006] The technical problem to be solved by the present invention is: how to improve the accuracy of the pressure resistance test and vibration test results while avoiding waste of resources, so that the performance status score of a single liquid cooling plate is more accurate, thereby making the performance evaluation results of the current batch of liquid cooling plates more accurate, and providing an intelligent testing and evaluation system for new energy battery cooling equipment.

[0007] The present invention solves the above technical problems through the following technical solutions, which include a pressure test module, a vibration test module, an air tightness test module, a heat dissipation performance test module and a comprehensive scoring module;

[0008] The pressure test module is used to test the pressure resistance performance of the battery pack liquid cooling plate of the new energy electric vehicle, obtain the pressure resistance range value of the current liquid cooling plate, and dynamically adjust the coolant injection rate based on the deformation state detection result of the liquid cooling plate when pressurizing;

[0009] The vibration test module is used to perform a vibration test on the battery pack liquid cooling plate of the new energy electric vehicle to obtain the reliability characterization parameter value of the current liquid cooling plate;

[0010] The air tightness test module is used to perform an air tightness test on the liquid cooling plate of the battery pack of the new energy electric vehicle and obtain the air tightness performance parameter value of the current liquid cooling plate;

[0011] The heat dissipation performance test module is used to test the heat dissipation performance of the battery pack liquid cooling plate of the new energy electric vehicle and obtain the heat dissipation performance parameter value of the current liquid cooling plate;

[0012] The comprehensive scoring module is used to obtain the corresponding score in a preset expert database according to the pressure range value, reliability characterization parameter value, airtight performance parameter value and heat dissipation performance parameter value of the current liquid cooling plate, and then calculate the performance status score of the current liquid cooling plate to realize the performance status evaluation of the current liquid cooling plate.

[0013] Furthermore, the pressure test module includes a pressurizing unit, a first deformation state detection unit, an injection rate control unit, an internal pressure detection unit and a pressure range determination unit; the pressurizing unit is used to increase the internal pressure of the liquid cooling plate by gradually injecting coolant into the liquid cooling plate under the maximum design pressure Pnmax of the internal pressure of the liquid cooling plate; the first deformation state detection unit is used to detect the deformation state of the liquid cooling plate in real time and obtain the deformation characterization parameter value Wd; the injection rate control unit is used to first determine whether the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth, and when it is less than the set threshold value Wth, it is searched in the deformation characterization parameter-coolant injection rate database according to the deformation characterization parameter value Wd to obtain the corresponding coolant injection rate value, and the coolant injection rate in the pressurizing unit is adjusted in real time according to the coolant injection rate value, so that the current coolant injection rate is the coolant injection rate value obtained by the search. , if it is greater than or equal to the set threshold value Wth, the internal real-time pressure Pnact of the current liquid cooling plate is immediately read and the pressurization is stopped, and the internal real-time pressure Pnact of the current liquid cooling plate is sent to the pressure range determination unit; the internal pressure detection unit is used to detect the internal pressure of the liquid cooling plate in real time through the pressure sensor to obtain the internal real-time pressure of the liquid cooling plate; the pressure range determination unit is used to determine the pressure range value of the current liquid cooling plate according to the maximum design pressure Pnmax and the internal real-time pressure Pnact of the current liquid cooling plate when the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth; in the injection rate control unit, the deformation characterization parameter-coolant injection rate database stores the corresponding relationship between the preset deformation characterization parameter value and the coolant injection rate value, wherein the deformation characterization parameter value is negatively correlated with the coolant injection rate value, and when the deformation characterization parameter value Wd is larger, the corresponding coolant injection rate value is smaller.

[0014] Furthermore, in the first deformation state detection unit, the specific processing process is as follows:

[0015] S11: Divide the liquid cooling plate into a plurality of regions along the length direction, denoted as Ai, where i represents the i-th region;

[0016] S12: In each area, two industrial cameras are used to take real-time photos directly above and on the side of the liquid cooling plate to obtain a top-down image and a side-view image of the local liquid cooling plate;

[0017] S13: performing noise reduction processing on the overhead image and the side image of the local liquid cooling plate obtained in each area;

[0018] S14: using the trained liquid cooling plate detection model, performing target detection on the liquid cooling plate portion in the overhead image of the local liquid cooling plate and the side image of the local liquid cooling plate after noise reduction, and obtaining a position of a first liquid cooling plate detection frame in the corresponding image;

[0019] S15: In each region, according to the position of the first liquid cooling plate detection frame in the corresponding image, the length values ​​of the short sides of the liquid cooling plate detection frames in the overhead image and the side image of the local liquid cooling plate of each region are calculated, and recorded as Wfi and Wsi, where f represents the local liquid cooling plate in the overhead image, and s represents the local liquid cooling plate in the side image;

[0020] S16: traverse the length values ​​Wfi and Wsi in the corresponding images of each area, determine the corresponding maximum length values ​​Wfmax and Wsmax, calculate the difference between the maximum length values ​​Wfmax and Wsmax and the initial length values ​​Wf0 and Ws0 in the corresponding images when no pressurization is performed, record them as length differences Wfd and Wsd, and take the larger value of the length differences Wfd and Wsd as the deformation characterization parameter value Wd, wherein, in the overhead image of the local liquid cooling plate corresponding to each area, the initial length value Wf0 of the short side of the liquid cooling plate detection frame when no pressurization is performed is the same, and in the side image of the local liquid cooling plate corresponding to each area, the initial length value Ws0 of the short side of the liquid cooling plate detection frame when no pressurization is performed is the same.

[0021] Furthermore, in the withstand voltage range determination unit, the specific processing process is as follows:

[0022] S21: when the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth, reading the internal real-time pressure Pnact of the current liquid cooling plate detected by the internal pressure detection unit, wherein the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth, indicating that a certain area of ​​the liquid cooling plate has been broken;

[0023] S22: Determine the pressure range of the liquid cooling plate according to the maximum design pressure Pnmax and the current internal real-time pressure Pnact of the liquid cooling plate, that is, the pressure range of the liquid cooling plate is Pnact to Pnmax.

[0024] Furthermore, the vibration test module includes a vibration applying unit, a second deformation state detection unit, a joint looseness detection unit and a reliability characterization parameter calculation unit; the vibration applying unit is used to set the vibration test parameters and apply vibration to the liquid cooling plate after the liquid cooling plate is installed on the vibration test bench; the second deformation state detection unit is used to detect the deformation state of the liquid cooling plate during the vibration test in real time, and obtain the maximum deformation distance value during the vibration test; the joint looseness detection unit is used to detect the looseness of each joint of the liquid cooling plate during the vibration test in real time, and obtain the maximum joint gap value during the vibration test; the reliability characterization parameter calculation unit is used to calculate the product of the maximum deformation distance value and the maximum joint gap value, obtain the maximum deformation gap product RX, that is, obtain the reliability characterization parameter value of the current liquid cooling plate.

[0025] Furthermore, in the second deformation state detection unit, the specific processing process is as follows:

[0026] S31: During the entire vibration test process, a high-speed camera is used to take real-time photos on the side of the liquid cooling plate and the vibration test bench to obtain multiple frames of liquid cooling plate side images. A single frame of the liquid cooling plate side image contains the complete liquid cooling plate and the vibration test bench.

[0027] S32: performing noise reduction processing on the side-shot image of the liquid cooling plate;

[0028] S33: using the trained first multi-target detection model to identify the test bench center mark and the liquid cooling plate in the denoised side image of the liquid cooling plate, and obtaining a second liquid cooling plate detection frame position and a test bench center mark detection frame position in the image;

[0029] S34: Calculate the center point position of the test bench center mark detection frame, and the center point is recorded as Zc;

[0030] S35: using OpenCV to detect the outer contour of the liquid cooling plate inside the second liquid cooling plate detection frame, and obtaining the coordinates of each point on the outer contour line of the liquid cooling plate in the image, which are recorded as Lj, where j represents the jth outer contour point;

[0031] S36: draw a perpendicular line through the center point Zc to the second liquid cooling plate detection frame, and intersect the outer contour line of the liquid cooling plate inside the second liquid cooling plate detection frame at two points, which are recorded as R1 and R2, and calculate the distance between the center point Zc and the points R1 and R2 to obtain a smaller distance value, which is recorded as Rmin;

[0032] S37: adding the distance value Rmin in each frame image during the vibration test to the distance value set;

[0033] S38: After the vibration test process is completed, the maximum distance value Rmin is obtained from the distance value set as the maximum deformation distance value.

[0034] Furthermore, in the joint looseness detection unit, the specific processing process is as follows:

[0035] S41: During the entire vibration test process, multiple high-speed cameras are used to take real-time photos on the side of each joint of the liquid cooling plate to obtain multiple-frame side images of each joint, wherein a single-frame side image of the joint includes a current joint end and a joint connection seat;

[0036] S42: performing noise reduction processing on the side image of the joint;

[0037] S43: using the trained second multi-target detection model to identify the joint end and the joint connection seat in the denoised joint side image, and obtaining the position of the joint end detection frame and the position of the joint connection seat detection frame in the image;

[0038] S44: Calculate the distance between the center point of each side of the joint end detection frame and the center point of each side of the joint connection seat detection frame, where the smallest distance is regarded as the gap between the current joint end and the joint connection seat, recorded as the gap value Xmin;

[0039] S45: adding the gap value Xmin in each frame image of each joint during the vibration test to the gap value set;

[0040] S46: After the vibration test process is completed, the maximum gap value Xmin, that is, the maximum joint gap value, is obtained from the gap value set.

[0041] Furthermore, the specific processing process of the air tightness test module is as follows:

[0042] S51: After the compressed air is filled into the liquid cooling plate, the initial air pressure inside the liquid cooling plate is detected by a barometer, which is recorded as G0;

[0043] S52: During the test, the air pressure value Gk inside the liquid cooling plate is detected in real time by a barometer, where k represents time k;

[0044] S53: End the air tightness test and obtain the minimum value of the air pressure values ​​Gk, recorded as Gkmin;

[0045] S54: Calculate the difference between G0 and Gkmin, record it as the pressure difference Gc, divide the pressure difference Gc by the initial pressure G0, and obtain the airtight performance parameter value of the current liquid cooling plate, record it as Gr.

[0046] Furthermore, the specific processing process of the heat dissipation performance test module is as follows:

[0047] S61: Install the liquid cooling plate on the test battery pack, connect the battery pack to the preset load, and supply power to the preset load. The battery pack outputs stably for a set time. At this time, the initial temperature of the battery pack is detected by a thermometer and recorded as T0.

[0048] S62: Start the liquid cooling plate to dissipate heat from the battery pack. At this time, the battery pack still supplies power to the preset load.

[0049] S63: After a preset time h, the heat dissipation performance test ends, and the temperature of the battery pack is detected by a thermometer, which is recorded as T1;

[0050] S64: Calculate the temperature drop Tc of the battery pack:

[0051] Tc=T0-T1;

[0052] Divide the temperature drop Tc by the preset time h to obtain the heat dissipation performance parameter value of the current liquid cooling plate, which is recorded as Tr.

[0053] Furthermore, in the comprehensive scoring module, the specific processing process is as follows:

[0054] S71: searching in an expert database to obtain a pressure resistance score Fp, a reliability score Frx, a gas-tight performance score Fg, and a heat dissipation performance score Ft according to the pressure resistance range value, reliability characterization parameter value, air-tight performance parameter value, and heat dissipation performance parameter value of the current liquid cooling plate;

[0055] S72: Calculate the performance status score of the current liquid cooling plate according to the following formula:

[0056] Score=w1*Fp+w2*Frx+w3*Fg+w4*Ft;

[0057] Among them, w1~w4 are the weights of the corresponding single score in the performance status score Score.

[0058] Compared with the prior art, the present invention has the following advantages: the intelligent testing and evaluation system of the new energy battery heat dissipation equipment dynamically adjusts the coolant injection rate according to the deformation characterization parameters, which can effectively avoid improper pressure control during the test, resulting in premature rupture of the liquid cooling plate, causing waste of resources, and thus unable to accurately evaluate the pressure resistance performance of the liquid cooling plate; and uses the maximum deformation gap product to characterize the reliability of the liquid cooling plate, avoiding the problem that the previous detection and characterization methods are too single, resulting in insufficient accuracy of the vibration test results; it can also accurately calculate the performance status score of the current liquid cooling plate based on the results of various tests, realize the performance status evaluation of the current liquid cooling plate, and facilitate accurate performance evaluation of the current batch of liquid cooling plates. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a structural schematic diagram of an intelligent test and evaluation system for a new energy battery heat dissipation device in an embodiment of the present invention;

[0060] Figure 2 is a schematic diagram of the positions of two industrial cameras in the first deformation state detection unit of an embodiment of the present invention;

[0061] Figure 3 is a schematic diagram of the positions of the vibration test bench and the liquid cooling plate during the vibration test of an embodiment of the present invention (side view, with the liquid cooling plate in a deformed state);

[0062] Figure 4is a schematic diagram of the positions of the joint end and the joint connection seat in the side view of the joint in an embodiment of the present invention;

[0063] In the figure: 1. Liquid cooling plate; 11. Connector end; 12. Connector connection seat; 21. Industrial camera; 3. Test bench center mark (white round plate); 4. Base of the vibration test bench. DETAILED DESCRIPTION

[0064] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0065] like Figure 1 As shown, this embodiment provides a technical solution: an intelligent testing and evaluation system for new energy battery heat dissipation equipment, including a pressure test module, a vibration test module, an air tightness test module, a heat dissipation performance test module and a comprehensive scoring module;

[0066] In this embodiment, the pressure test module is used to perform a pressure resistance performance test on the battery pack liquid cooling plate of the new energy electric vehicle to obtain the pressure resistance range value of the current liquid cooling plate.

[0067] As more specific, the pressure test module includes a pressurizing unit, a first deformation state detection unit, an injection rate control unit, an internal pressure detection unit and a pressure range determination unit; the pressurizing unit is used to increase the internal pressure of the liquid cooling plate by gradually injecting coolant into the liquid cooling plate under the maximum design pressure Pnmax of the internal pressure of the liquid cooling plate; the first deformation state detection unit is used to detect the deformation state of the liquid cooling plate in real time and obtain the deformation characterization parameter value Wd; the injection rate control unit is used to first determine whether the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth. When it is less than the set threshold value Wth, the deformation characterization parameter-coolant injection rate database is searched according to the deformation characterization parameter value Wd to obtain the corresponding coolant injection rate value , and adjust the coolant injection rate in the pressurizing unit in real time according to the coolant injection rate value, so that the current coolant injection rate is the coolant injection rate value found, if it is greater than or equal to the set threshold value Wth, immediately read the internal real-time pressure Pnact of the current liquid cooling plate and stop pressurizing, and send the internal real-time pressure Pnact of the current liquid cooling plate to the pressure range determination unit; the internal pressure detection unit is used to detect the internal pressure of the liquid cooling plate in real time through the pressure sensor to obtain the internal real-time pressure of the liquid cooling plate; the pressure range determination unit is used to determine the pressure range value of the current liquid cooling plate according to the maximum design pressure Pnmax and the internal real-time pressure Pnact of the current liquid cooling plate when the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth.

[0068] More specifically, in the first deformation state detection unit, the specific processing process is as follows:

[0069] S11: Divide the liquid cooling plate into a plurality of regions along the length direction, denoted as Ai, where i represents the i-th region;

[0070] S12: In each area, two industrial cameras are used to take real-time photos directly above and on the side of the liquid cooling plate to obtain a local overhead image and a local side image of the liquid cooling plate, such as Figure 2 As shown;

[0071] S13: performing noise reduction processing on the overhead image and the side image of the local liquid cooling plate obtained in each area;

[0072] S14: using the trained liquid cooling plate detection model, performing target detection on the liquid cooling plate portion in the overhead image of the local liquid cooling plate and the side image of the local liquid cooling plate after noise reduction, and obtaining a first liquid cooling plate detection frame position in the corresponding image; the detection frame position includes the coordinates of the lower left corner point and the upper right corner point of the detection frame;

[0073] S15: In each region, according to the position of the first liquid cooling plate detection frame in the corresponding image, the length values ​​of the short sides of the liquid cooling plate detection frames in the overhead image and the side image of the local liquid cooling plate of each region are calculated, and recorded as Wfi and Wsi, where f represents the local liquid cooling plate in the overhead image, and s represents the local liquid cooling plate in the side image;

[0074] S16: Traverse the length values ​​Wfi and Wsi in the corresponding images of each area, determine the corresponding maximum length values ​​Wfmax and Wsmax, calculate the difference between the maximum length values ​​Wfmax and Wsmax and the initial length values ​​Wf0 and Ws0 in the corresponding images when no pressure is applied, record them as length differences Wfd and Wsd, and take the larger value of the length differences Wfd and Wsd as the deformation characterization parameter value Wd.

[0075] More specifically, in step S14, the liquid cooling plate detection model is trained based on the RCNN target detection network.

[0076] It should be noted that in step S16, in the overhead images of the local liquid cooling plate corresponding to each area, the initial length value Wf0 of the short side of the liquid cooling plate detection frame when no pressurization is performed is the same, and in the side images of the local liquid cooling plate corresponding to each area, the initial length value Ws0 of the short side of the liquid cooling plate detection frame when no pressurization is performed is the same. In this embodiment, Wf0 is equal to Ws0.

[0077] As more specific, the correspondence between the preset deformation characterization parameter value and the coolant injection rate value is stored in the deformation characterization parameter-coolant injection rate database, wherein the deformation characterization parameter value is negatively correlated with the coolant injection rate value. It can be understood that when the deformation characterization parameter value Wd is larger, that is, the deformation of the local area of ​​the liquid cooling plate is also obvious, and the closer it is to the broken state, the coolant injection rate at this time will gradually decrease dynamically as the deformation increases. Through the dynamic adjustment method of the coolant injection rate according to the deformation characterization parameter in the present invention, improper pressure control during the test can be effectively avoided, resulting in premature rupture of the liquid cooling plate, causing waste of resources, and then the problem of being unable to accurately evaluate the pressure resistance performance of the liquid cooling plate.

[0078] As more specific, in the withstand voltage range determination unit, the specific processing process is as follows:

[0079] S21: when the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth, reading the internal real-time pressure Pnact of the current liquid cooling plate detected by the internal pressure detection unit, wherein the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth, indicating that a certain area of ​​the liquid cooling plate has been broken;

[0080] S22: Determine the pressure range of the liquid cooling plate according to the maximum design pressure Pnmax and the current internal real-time pressure Pnact of the liquid cooling plate, that is, the pressure range of the liquid cooling plate is Pnact to Pnmax.

[0081] In this embodiment, the vibration test module is used to perform a vibration test on the battery pack liquid cooling plate of the new energy electric vehicle to obtain the reliability characterization parameter value of the current liquid cooling plate.

[0082] As more specific, the vibration test module includes a vibration applying unit, a second deformation state detection unit, a joint looseness detection unit and a reliability characterization parameter calculation unit; the vibration applying unit is used to set the vibration test parameters and apply vibration to the liquid cooling plate after the liquid cooling plate is installed on the vibration test bench; the second deformation state detection unit is used to detect the deformation state of the liquid cooling plate during the vibration test in real time, and obtain the maximum deformation distance value during the vibration test; the joint looseness detection unit is used to detect the looseness of each joint of the liquid cooling plate during the vibration test in real time, and obtain the maximum joint gap value during the vibration test; the reliability characterization parameter calculation unit is used to calculate the product of the maximum deformation distance value and the maximum joint gap value, and obtain the maximum deformation gap product RX, that is, to obtain the reliability characterization parameter value of the current liquid cooling plate.

[0083] As more specific, in the vibration applying unit, the vibration test parameters include vibration frequency, acceleration, vibration direction, and vibration times, wherein the vibration direction includes vertical, front-to-back, left-to-right, and the like.

[0084] As more specific, Figure 3 As shown, in the second deformation state detection unit, the specific processing process is as follows:

[0085] S31: During the entire vibration test process, a high-speed camera is used to take real-time photos on the side of the liquid cooling plate and the vibration test bench to obtain multiple frames of liquid cooling plate side images. A single frame of the liquid cooling plate side image contains the complete liquid cooling plate and the vibration test bench.

[0086] S32: performing noise reduction processing on the side-shot image of the liquid cooling plate;

[0087] S33: using the trained first multi-target detection model to identify the test bench center mark and the liquid cooling plate in the denoised side image of the liquid cooling plate, and obtaining a second liquid cooling plate detection frame position and a test bench center mark detection frame position in the image;

[0088] S34: Calculate the center point position of the test bench center mark detection frame, and the center point is recorded as Zc;

[0089] S35: using OpenCV to detect the outer contour of the liquid cooling plate inside the second liquid cooling plate detection frame, and obtaining the coordinates of each point on the outer contour line of the liquid cooling plate in the image, which are recorded as Lj, where j represents the jth outer contour point;

[0090] S36: draw a perpendicular line through the center point Zc to the second liquid cooling plate detection frame, and intersect the outer contour line of the liquid cooling plate inside the second liquid cooling plate detection frame at two points, which are recorded as R1 and R2, and calculate the distance between the center point Zc and the points R1 and R2 to obtain a smaller distance value, which is recorded as Rmin;

[0091] S37: adding the distance value Rmin in each frame image during the vibration test to the distance value set;

[0092] S38: After the vibration test process is completed, the maximum distance value Rmin is obtained from the distance value set as the maximum deformation distance value.

[0093] More specifically, in step S33, the first multi-target detection model is trained based on the yolo v3s multi-target detection network.

[0094] As more specifically, in the joint loosening detection unit, as Figure 4 As shown, the specific processing process is as follows:

[0095] S41: During the entire vibration test process, multiple high-speed cameras are used to take real-time photos on the side of each joint of the liquid cooling plate to obtain multiple-frame side images of each joint, wherein a single-frame side image of the joint includes a current joint end and a joint connection seat;

[0096] S42: performing noise reduction processing on the side image of the joint;

[0097] S43: using the trained second multi-target detection model to identify the joint end and the joint connection seat in the denoised joint side image, and obtaining the position of the joint end detection frame and the position of the joint connection seat detection frame in the image;

[0098] S44: Calculate the distance between the center point of each side of the joint end detection frame and the center point of each side of the joint connection seat detection frame, where the smallest distance is regarded as the gap between the current joint end and the joint connection seat, recorded as the gap value Xmin;

[0099] S45: adding the gap value Xmin in each frame image of each joint during the vibration test to the gap value set;

[0100] S46: After the vibration test process is completed, the maximum gap value Xmin, that is, the maximum joint gap value, is obtained from the gap value set.

[0101] More specifically, in step S43, the second multi-target detection model is also trained based on the yolo v3s multi-target detection network.

[0102] In this embodiment, the air tightness test module is used to perform an air tightness test on the liquid cooling plate of the battery pack of the new energy electric vehicle to obtain the air tightness performance parameter value of the current liquid cooling plate.

[0103] As more specific, the specific processing process of the air tightness test module is as follows:

[0104] S51: After the compressed air is filled into the liquid cooling plate, the initial air pressure inside the liquid cooling plate is detected by a barometer, which is recorded as G0;

[0105] S52: During the test, the air pressure value Gk inside the liquid cooling plate is detected in real time by a barometer, where k represents time k;

[0106] S53: End the air tightness test and obtain the minimum value of the air pressure values ​​Gk, recorded as Gkmin;

[0107] S54: Calculate the difference between G0 and Gkmin, record it as the pressure difference Gc, divide the pressure difference Gc by the initial pressure G0, and obtain the airtight performance parameter value of the current liquid cooling plate, record it as Gr.

[0108] In this embodiment, the heat dissipation performance test module is used to perform a heat dissipation performance test on a battery pack liquid cooling plate of a new energy electric vehicle to obtain a heat dissipation performance parameter value of the current liquid cooling plate.

[0109] As more specific, the specific processing process of the heat dissipation performance test module is as follows:

[0110] S61: Install the liquid cooling plate on the test battery pack, connect the battery pack to the preset load, and supply power to the preset load. The battery pack outputs stably for a set time. At this time, the initial temperature of the battery pack is detected by a thermometer and recorded as T0.

[0111] S62: Start the liquid cooling plate to dissipate heat from the battery pack. At this time, the battery pack still supplies power to the preset load.

[0112] S63: After a preset time h, the heat dissipation performance test ends, and the temperature of the battery pack is detected by a thermometer, which is recorded as T1;

[0113] S64: Calculate the temperature drop Tc of the battery pack:

[0114] Tc=T0-T1;

[0115] Divide the temperature drop Tc by the preset time h to obtain the heat dissipation performance parameter value of the current liquid cooling plate, which is recorded as Tr.

[0116] In this embodiment, the comprehensive scoring module is used to obtain the corresponding score in the preset expert database according to the pressure range value, reliability characterization parameter value, airtight performance parameter value and heat dissipation performance parameter value of the current liquid cooling plate, and then calculate the performance status score of the current liquid cooling plate to realize the performance status evaluation of the current liquid cooling plate.

[0117] As more specific, the specific processing process of the comprehensive scoring module is as follows:

[0118] S71: according to the current pressure range value, reliability characterization parameter value, airtight performance parameter value and heat dissipation performance parameter value of the liquid cooling plate, a corresponding expert database is searched to obtain a pressure rating Fp, a reliability rating Frx, an airtight performance rating Fg and a heat dissipation performance rating Ft;

[0119] S72: Calculate the performance status score of the current liquid cooling plate according to the following formula:

[0120] Score=w1*Fp+w2*Frx+w3*Fg+w4*Ft;

[0121] Among them, w1-w4 are the weights of the corresponding single score in the performance status score Score, and the sum of w1-w4 is 1. In this embodiment, w1=w3=0.1, w2=w4=0.4.

[0122] In this embodiment, in step S71, in the expert database, there are preset correspondences between the pressure resistance range value and the pressure resistance score Fp, the correspondence between the reliability characterization parameter value and the reliability score Frx, the correspondence between the airtight performance parameter value and the airtight performance score Fg, and the correspondence between the heat dissipation performance parameter value and the heat dissipation performance score Ft.

[0123] It should be noted that in the actual test process, the order of the pressure test, vibration test, air tightness test, and heat dissipation performance test of a single liquid cooling plate can be adjusted according to the actual test requirements, but the pressure test should be set at the end. For example, the air tightness test, heat dissipation performance test, vibration test, and pressure test can be carried out in sequence.

[0124] To sum up, the intelligent testing and evaluation system of the new energy battery heat dissipation equipment of the above-mentioned embodiment dynamically adjusts the coolant injection rate according to the deformation characterization parameters, which can effectively avoid improper pressure control during the test, resulting in premature rupture of the liquid cooling plate, causing waste of resources, and thus unable to accurately evaluate the pressure resistance performance of the liquid cooling plate; and uses the maximum deformation gap product to characterize the reliability of the liquid cooling plate, avoiding the problem that the previous detection and characterization methods are too single, resulting in insufficient accuracy of the vibration test results; it can also accurately calculate the performance status score of the current liquid cooling plate based on the results of various tests, realize the performance status evaluation of the current liquid cooling plate, and facilitate accurate performance evaluation of the current batch of liquid cooling plates.

[0125] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0126] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0127] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An intelligent test and evaluation system for new energy battery heat dissipation equipment, characterized in that: include: Pressure test module, vibration test module, air tightness test module, heat dissipation performance test module and comprehensive scoring module; The pressure test module is used to test the pressure resistance performance of the battery pack liquid cooling plate of the new energy electric vehicle, obtain the pressure resistance range value of the current liquid cooling plate, and dynamically adjust the coolant injection rate based on the deformation state detection result of the liquid cooling plate when pressurizing; The pressure test module includes a pressurizing unit, a first deformation state detection unit, an injection rate control unit, an internal pressure detection unit and a pressure range determination unit; the pressurizing unit is used to increase the internal pressure of the liquid cooling plate by gradually injecting coolant into the liquid cooling plate under the maximum design pressure Pnmax of the internal pressure of the liquid cooling plate; the first deformation state detection unit is used to detect the deformation state of the liquid cooling plate in real time and obtain the deformation characterization parameter value Wd; the injection rate control unit is used to first determine whether the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth, and when it is less than the set threshold value Wth, it is searched in the deformation characterization parameter-coolant injection rate database according to the deformation characterization parameter value Wd to obtain the corresponding coolant injection rate value, and according to The coolant injection rate value adjusts the coolant injection rate in the pressurizing unit in real time, so that the current coolant injection rate is the coolant injection rate value found. If it is greater than or equal to the set threshold value Wth, the internal real-time pressure Pnact of the current liquid cooling plate is immediately read and the pressurization is stopped, and the internal real-time pressure Pnact of the current liquid cooling plate is sent to the pressure range determination unit; the internal pressure detection unit is used to detect the internal pressure of the liquid cooling plate in real time through the pressure sensor to obtain the internal real-time pressure of the liquid cooling plate; the pressure range determination unit is used to determine the pressure range value of the current liquid cooling plate according to the maximum design pressure Pnmax and the internal real-time pressure Pnact of the current liquid cooling plate when the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth; In the injection rate control unit, the deformation characterization parameter-coolant injection rate database stores a correspondence between a preset deformation characterization parameter value and a coolant injection rate value, wherein the deformation characterization parameter value and the coolant injection rate value are negatively correlated, and when the deformation characterization parameter value Wd is larger, the corresponding coolant injection rate value is smaller; The vibration test module is used to perform a vibration test on the battery pack liquid cooling plate of the new energy electric vehicle to obtain the reliability characterization parameter value of the current liquid cooling plate; The air tightness test module is used to perform an air tightness test on the liquid cooling plate of the battery pack of the new energy electric vehicle and obtain the air tightness performance parameter value of the current liquid cooling plate; The heat dissipation performance test module is used to test the heat dissipation performance of the battery pack liquid cooling plate of the new energy electric vehicle and obtain the heat dissipation performance parameter value of the current liquid cooling plate; The comprehensive scoring module is used to obtain the corresponding score in a preset expert database according to the pressure range value, reliability characterization parameter value, airtight performance parameter value and heat dissipation performance parameter value of the current liquid cooling plate, and then calculate the performance status score of the current liquid cooling plate to realize the performance status evaluation of the current liquid cooling plate.

2. The intelligent testing and evaluation system for a new energy battery heat dissipation device according to claim 1 is characterized in that: In the first deformation state detection unit, the specific processing process is as follows: S11: Divide the liquid cooling plate into a plurality of regions along the length direction, denoted as Ai, where i represents the i-th region; S12: In each area, two industrial cameras are used to take real-time photos directly above and on the side of the liquid cooling plate to obtain a top-down image and a side-view image of the local liquid cooling plate; S13: performing noise reduction processing on the overhead image and the side image of the local liquid cooling plate obtained in each area; S14: using the trained liquid cooling plate detection model, performing target detection on the liquid cooling plate portion in the overhead image of the local liquid cooling plate and the side image of the local liquid cooling plate after noise reduction, and obtaining a position of a first liquid cooling plate detection frame in the corresponding image; S15: In each region, according to the position of the first liquid cooling plate detection frame in the corresponding image, the length values ​​of the short sides of the liquid cooling plate detection frames in the overhead image and the side image of the local liquid cooling plate of each region are calculated, and recorded as Wfi and Wsi, where f represents the local liquid cooling plate in the overhead image, and s represents the local liquid cooling plate in the side image; S16: traverse the length values ​​Wfi and Wsi in the corresponding images of each area, determine the corresponding maximum length values ​​Wfmax and Wsmax, calculate the difference between the maximum length values ​​Wfmax and Wsmax and the initial length values ​​Wf0 and Ws0 in the corresponding images when no pressurization is performed, record them as length differences Wfd and Wsd, and take the larger value of the length differences Wfd and Wsd as the deformation characterization parameter value Wd, wherein, in the overhead image of the local liquid cooling plate corresponding to each area, the initial length value Wf0 of the short side of the liquid cooling plate detection frame when no pressurization is performed is the same, and in the side image of the local liquid cooling plate corresponding to each area, the initial length value Ws0 of the short side of the liquid cooling plate detection frame when no pressurization is performed is the same.

3. The intelligent testing and evaluation system for a new energy battery heat dissipation device according to claim 2 is characterized in that: In the withstand voltage range determination unit, the specific processing process is as follows: S21: when the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth, reading the internal real-time pressure Pnact of the current liquid cooling plate detected by the internal pressure detection unit, wherein the deformation characterization parameter value Wd is greater than or equal to the set threshold value Wth, indicating that a certain area of ​​the liquid cooling plate has been broken; S22: Determine the pressure range of the liquid cooling plate according to the maximum design pressure Pnmax and the current internal real-time pressure Pnact of the liquid cooling plate, that is, the pressure range of the liquid cooling plate is Pnact to Pnmax.

4. An intelligent testing and evaluation system for a new energy battery heat dissipation device according to claim 1 or 3, characterized in that: The vibration test module includes a vibration applying unit, a second deformation state detection unit, a joint looseness detection unit and a reliability characterization parameter calculation unit; the vibration applying unit is used to set the vibration test parameters and apply vibration to the liquid cooling plate after the liquid cooling plate is installed on the vibration test bench; the second deformation state detection unit is used to detect the deformation state of the liquid cooling plate during the vibration test in real time, and obtain the maximum deformation distance value during the vibration test; the joint looseness detection unit is used to detect the looseness of each joint of the liquid cooling plate during the vibration test in real time, and obtain the maximum joint gap value during the vibration test; the reliability characterization parameter calculation unit is used to calculate the product of the maximum deformation distance value and the maximum joint gap value, obtain the maximum deformation gap product RX, that is, obtain the reliability characterization parameter value of the current liquid cooling plate.

5. The intelligent testing and evaluation system for new energy battery heat dissipation equipment according to claim 4 is characterized in that: In the second deformation state detection unit, the specific processing process is as follows: S31: During the entire vibration test process, a high-speed camera is used to take real-time photos on the side of the liquid cooling plate and the vibration test bench to obtain multiple frames of liquid cooling plate side images. A single frame of the liquid cooling plate side image contains the complete liquid cooling plate and the vibration test bench. S32: performing noise reduction processing on the side-shot image of the liquid cooling plate; S33: using the trained first multi-target detection model to identify the test bench center mark and the liquid cooling plate in the denoised side image of the liquid cooling plate, and obtaining a second liquid cooling plate detection frame position and a test bench center mark detection frame position in the image; S34: Calculate the center point position of the test bench center mark detection frame, and the center point is recorded as Zc; S35: using OpenCV to detect the outer contour of the liquid cooling plate inside the second liquid cooling plate detection frame, and obtaining the coordinates of each point on the outer contour line of the liquid cooling plate in the image, which are recorded as Lj, where j represents the jth outer contour point; S36: draw a perpendicular line through the center point Zc to the second liquid cooling plate detection frame, and intersect the outer contour line of the liquid cooling plate inside the second liquid cooling plate detection frame at two points, which are recorded as R1 and R2, and calculate the distance between the center point Zc and the points R1 and R2 to obtain a smaller distance value, which is recorded as Rmin; S37: adding the distance value Rmin in each frame image during the vibration test to the distance value set; S38: After the vibration test process is completed, the maximum distance value Rmin is obtained from the distance value set as the maximum deformation distance value.

6. The intelligent testing and evaluation system for a new energy battery heat dissipation device according to claim 5 is characterized in that: In the joint looseness detection unit, the specific processing process is as follows: S41: During the entire vibration test process, multiple high-speed cameras are used to take real-time photos on the side of each joint of the liquid cooling plate to obtain multiple-frame side images of each joint, wherein a single-frame side image of the joint includes a current joint end and a joint connection seat; S42: performing noise reduction processing on the side image of the joint; S43: using the trained second multi-target detection model to identify the joint end and the joint connection seat in the denoised joint side image, and obtaining the position of the joint end detection frame and the position of the joint connection seat detection frame in the image; S44: Calculate the distance between the center point of each side of the joint end detection frame and the center point of each side of the joint connection seat detection frame, where the smallest distance is regarded as the gap between the current joint end and the joint connection seat, recorded as the gap value Xmin; S45: adding the gap value Xmin in each frame image of each joint during the vibration test to the gap value set; S46: After the vibration test process is completed, the maximum gap value Xmin, that is, the maximum joint gap value, is obtained from the gap value set.

7. The intelligent testing and evaluation system for a new energy battery heat dissipation device according to claim 1 is characterized in that: The specific processing process of the air tightness test module is as follows: S51: After the compressed air is filled into the liquid cooling plate, the initial air pressure inside the liquid cooling plate is detected by a barometer, which is recorded as G0; S52: During the test, the air pressure value Gk inside the liquid cooling plate is detected in real time by a barometer, where k represents time k; S53: End the air tightness test and obtain the minimum value of the air pressure values ​​Gk, recorded as Gkmin; S54: Calculate the difference between G0 and Gkmin, record it as the air pressure difference Gc, divide the air pressure difference Gc by the initial air pressure G0, and obtain the airtight performance parameter value of the current liquid cooling plate, record it as Gr.

8. The intelligent testing and evaluation system for a new energy battery heat dissipation device according to claim 1 is characterized in that: The specific processing process of the heat dissipation performance test module is as follows: S61: Install the liquid cooling plate on the test battery pack, connect the battery pack to the preset load, and supply power to the preset load. The battery pack outputs stably for a set time. At this time, the initial temperature of the battery pack is detected by a thermometer and recorded as T0. S62: Start the liquid cooling plate to dissipate heat from the battery pack. At this time, the battery pack still supplies power to the preset load. S63: After a preset time h, the heat dissipation performance test ends, and the temperature of the battery pack is detected by a thermometer, which is recorded as T1; S64: Calculate the temperature drop Tc of the battery pack: Tc=T0-T1; Divide the temperature drop Tc by the preset time h to obtain the heat dissipation performance parameter value of the current liquid cooling plate, which is recorded as Tr.

9. The intelligent testing and evaluation system for a new energy battery heat dissipation device according to claim 1 is characterized in that: In the comprehensive scoring module, the specific processing process is as follows: S71: searching in an expert database to obtain a pressure resistance score Fp, a reliability score Frx, a gas-tight performance score Fg, and a heat dissipation performance score Ft according to the pressure resistance range value, reliability characterization parameter value, air-tight performance parameter value, and heat dissipation performance parameter value of the current liquid cooling plate; S72: Calculate the performance status score of the current liquid cooling plate according to the following formula: Score=w1*Fp+w2*Frx+w3*Fg+w4*Ft; Among them, w1~w4 are the weights of the corresponding single score in the performance status score Score.

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