A combined cooling method and system for electric vehicle battery pack and charging pile

Abstract

The present invention relates to a method for joint cooling of an electric vehicle battery pack and a charging pile, which is applied to a joint cooling system of an electric vehicle battery pack and a charging pile. The system includes multiple charging piles and a control module, each charging pile includes a cooling pipeline that shares a cooling medium with the battery pack, and the cooling pipelines of multiple charging piles can also be interconnected. The control module is used to establish an initial allocation vector that characterizes the corresponding relationship between the charging pile and the target battery pack, and then obtain the optimal allocation vector based on a preset optimization algorithm, and finally realize joint cooling according to the optimal allocation vector. Compared with the prior art, the present invention, on the one hand, makes full use of the heat dissipation hardware facilities of the vacant charging piles, and on the other hand, can also improve the cooling effect on the target battery pack, improve the charging efficiency, and reduce the risk of high temperature during charging, which perfectly solves the problem that multiple electric vehicle battery packs and multiple charging piles in the prior art cannot be jointly cooled.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle battery pack charging control, and in particular to a method and system for combined cooling of an electric vehicle battery pack and a charging pile. Background Art

[0002] When an electric vehicle is charging, the chemical reaction inside the battery pack generates heat. If this heat cannot be effectively dissipated, it may cause battery performance to deteriorate or even cause safety issues. Therefore, the design of the heat dissipation system of the electric vehicle battery pack during charging is crucial.

[0003] To this end, people have developed a technology for joint cooling of charging piles and battery packs, which achieves efficient heat dissipation by sharing cooling media between the charging pile and the battery pack. This technology allows the charging pile to absorb and remove the heat generated by the battery pack by circulating cooling media while charging the electric vehicle, while using the more powerful heat dissipation function of the charging pile to achieve heat dissipation. This improves the heat dissipation efficiency, ensures the stable operation of electric vehicles under various climatic conditions, and improves the convenience of charging and the overall performance of electric vehicles.

[0004] However, the cooling systems of charging piles are currently designed independently, that is, the cooling system of a charging pile can only serve one battery pack, which results in a large number of charging pile cooling facilities being vacant in practice, making it difficult to fully convert the cost of integrated cooling functions into actual benefits. Therefore, people need a solution that can jointly cool multiple electric vehicle battery packs and multiple charging piles. Summary of the invention

[0005] Therefore, the present invention provides a method and system for jointly cooling an electric vehicle battery pack and a charging pile, so as to solve the problem in the prior art that multiple electric vehicle battery packs and multiple charging piles cannot be jointly cooled.

[0006] The present invention provides a combined cooling method for an electric vehicle battery pack and a charging pile, which is applied to a combined cooling system for an electric vehicle battery pack and a charging pile. The combined cooling system for an electric vehicle battery pack and a charging pile comprises a plurality of charging piles and a control module, wherein each charging pile comprises a cooling pipeline, the cooling pipeline of the charging pile is used to communicate with a cooling circuit of the electric vehicle battery pack to share a cooling medium, and the cooling pipelines of the plurality of charging piles can also be interconnected. The control module is used to operate the combined cooling method for an electric vehicle battery pack and a charging pile, and the method comprises:

[0007] Obtain the charging positions and charging parameters of multiple target battery packs, and obtain the setting positions and operating parameters of multiple charging piles;

[0008] Establishing multiple initial allocation vectors according to the charging positions of multiple target battery packs and the setting positions of multiple charging piles, wherein the allocation vectors are used to characterize the corresponding relationship between the multiple charging piles and the multiple target battery packs;

[0009] According to the charging parameters of multiple target battery packs and the operating parameters of multiple charging piles, multiple initial allocation vectors are optimized based on a preset optimization algorithm to obtain an optimal allocation vector;

[0010] According to the corresponding relationship represented by the optimal allocation vector, the cooling pipes between the multiple charging piles and the cooling pipes between the charging piles and the target battery pack are connected to achieve joint cooling.

[0011] The present invention also provides a preferred solution: according to the charging positions of multiple target battery packs and the setting positions of multiple charging piles, multiple initial allocation vectors are established, including:

[0012] According to the charging parameters and charging positions of the plurality of target battery packs, at least one target battery pack group is obtained, each battery pack group including at least two target battery packs with the same operating condition and adjacent positions;

[0013] Establish charging object numbers for each target battery pack group and other target battery packs not in the target battery pack group;

[0014] Establishing multiple initial allocation vectors according to the locations of multiple charging piles and charging object numbers;

[0015] Among them, each element position in the allocation vector corresponds to the setting position of a charging pile, and the element value in the allocation vector is the charging object number.

[0016] The present invention also provides a preferred solution: a plurality of charging object numbers are arranged in the allocation vector based on the charging position corresponding to each charging object number, and the same charging object numbers are adjacent.

[0017] The present invention also provides a preferred solution: according to the charging parameters of multiple target battery packs and the operating parameters of multiple charging piles, multiple initial allocation vectors are optimized based on a preset optimization algorithm to obtain an optimal allocation vector, including:

[0018] Using the initial allocation vector as the target allocation vector;

[0019] The fitness of each target allocation vector is calculated based on a preset fitness function, wherein the preset fitness function is used to calculate the pros and cons of a corresponding relationship represented by an allocation vector when used for joint cooling according to charging parameters of multiple target battery packs and operating condition parameters of multiple charging piles;

[0020] Filter out the target allocation vector with the highest preset proportion of fitness to obtain the parent population;

[0021] Perform crossover and mutation on the parent population to obtain the offspring population;

[0022] The parent population and the offspring population are used as target allocation vectors again, and the steps of calculating the fitness of each target allocation vector based on a preset fitness function, selecting a preset proportion of target allocation vectors with the highest fitness, obtaining the parent population, performing crossover and mutation on the parent population, and obtaining the offspring population are re-executed until a preset end condition is reached;

[0023] According to the target allocation vector obtained in the last iteration, the optimal allocation vector is obtained.

[0024] The present invention also provides a preferred solution: performing crossover and mutation on the parent population to obtain the offspring population, including:

[0025] Obtain two target parent individual vectors, wherein the target parent individual vector is the allocation vector to be crossovered in the parent population;

[0026] At the same time, the elements at the same position in the two target parent individual vectors are traversed and compared, and the key position is marked, where the element values ​​at the key position in the two target parent individual vectors are the same, and the element values ​​at the next position of the key position are different;

[0027] Randomly select a non-first key position as the crossover starting position;

[0028] The segments after the crossover start position in the two target parent individual vectors are exchanged to obtain two target offspring individual vectors, where the target offspring individual vector is the allocation vector in the offspring population.

[0029] The present invention also provides a preferred solution: performing crossover and mutation on the parent population to obtain the offspring population, further comprising:

[0030] Obtain an element in the target parent individual vector as the first target element, and obtain an adjacent element of the first target element in the target parent individual vector as the second target element;

[0031] If the value of the first target element is different from the value of the second target element, the value of the first target element in the target parent individual vector is replaced with the value of the second target element, and the target child individual vector is obtained.

[0032] The present invention also provides a preferred solution: the element value of the allocation vector includes a null value, and the null value is used to indicate that the corresponding charging pile does not participate in cooling.

[0033] The present invention also provides a preferred solution: performing crossover and mutation on the parent population to obtain the offspring population, further comprising:

[0034] Get multiple consecutive element positions with the same element value in the target parent individual vector to get the target element position;

[0035] The element values ​​of the first and / or last target element positions in the target parent individual vector are set to null values, and the target child individual vector is obtained.

[0036] The present invention also provides a combined cooling system for an electric vehicle battery pack and a charging pile, comprising a plurality of charging piles and a control module, wherein each charging pile comprises a cooling pipeline, the cooling pipeline of the charging pile is used to communicate with the cooling circuit of the electric vehicle battery pack to share the cooling medium, and the cooling pipelines of the plurality of charging piles can also be interconnected, and the control module is used to:

[0037] Obtain the charging positions and charging parameters of multiple target battery packs, and obtain the setting positions and operating parameters of multiple charging piles;

[0038] Establishing multiple initial allocation vectors according to the charging positions of multiple target battery packs and the setting positions of multiple charging piles, wherein the allocation vectors are used to characterize the corresponding relationship between the multiple charging piles and the multiple target battery packs;

[0039] According to the charging parameters of multiple target battery packs and the operating parameters of multiple charging piles, multiple initial allocation vectors are optimized based on a preset optimization algorithm to obtain an optimal allocation vector;

[0040] According to the corresponding relationship represented by the optimal allocation vector, the cooling pipes between the multiple charging piles and the cooling pipes between the charging piles and the target battery pack are connected to achieve joint cooling.

[0041] The present invention also provides a preferred solution: the cooling pipeline of the charging pile includes a radiator and a first input pipe connected to the radiator, multiple first input pipes are connected to an input distribution pipe, and a first input control valve is arranged between the connecting positions of every two first input pipes in the input distribution pipe. The input distribution pipe is also connected to multiple second input pipes, and the multiple second input pipes correspond to each charging pile respectively, and are used to connect the cooling circuit of the electric vehicle battery pack, and each second input pipe is provided with a second input control valve; the cooling pipeline of the charging pile also includes a first return pipe connected to the radiator, multiple first return pipes are connected to a return distribution pipe, and a first return control valve is arranged between the connecting positions of every two first return pipes in the return distribution pipe. The return distribution pipe is also connected to multiple second return pipes, and the multiple second return pipes correspond to each charging pile respectively, and are used to connect the cooling circuit of the electric vehicle battery pack, and each second return pipe is provided with a second return control valve.

[0042] The beneficial effects of adopting the above embodiment are:

[0043] The present invention provides a method for jointly cooling an electric vehicle battery pack and a charging pile, which is applied to a joint cooling system for an electric vehicle battery pack and a charging pile. The system comprises a plurality of charging piles and a control module, each charging pile comprises a cooling pipeline, the cooling pipeline of the charging pile is used to be connected with a cooling circuit of the electric vehicle battery pack to share a cooling medium, and the cooling pipelines of the plurality of charging piles can also be connected with each other. The control module is used to obtain the charging positions and charging parameters of a plurality of target battery packs, obtain the setting positions and operating parameters of a plurality of charging piles, and then establish a plurality of initial allocation vectors according to the charging positions of the plurality of target battery packs and the setting positions of the plurality of charging piles, wherein the allocation vector is used to characterize the corresponding relationship between the plurality of charging piles and the plurality of target battery packs, and then optimize the plurality of initial allocation vectors based on a preset optimization algorithm according to the charging parameters of the plurality of target battery packs and the operating parameters of the plurality of charging piles to obtain an optimal allocation vector, and finally, according to the corresponding relationship represented by the optimal allocation vector, connect the cooling pipelines between the plurality of charging piles and the cooling pipelines between the charging piles and the target battery packs to achieve joint cooling. Compared with the prior art, the present invention designs the cooling pipes of the charging pile to be connected, and digitally represents the correspondence between the charging pile and the target battery pack by establishing a distribution vector. In this way, the best correspondence between the charging pile and the target battery pack can be found through an optimization algorithm, so that multiple charging piles can cool the same target battery pack at the same time. On the one hand, it makes full use of the heat dissipation hardware facilities of the unused charging piles, and on the other hand, it can also improve the cooling effect on the target battery pack, improve charging efficiency, and reduce the risk of high temperature charging, which perfectly solves the problem in the prior art that multiple electric vehicle battery packs and multiple charging piles cannot be jointly cooled. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A method flow chart of an embodiment of a method for combined cooling of an electric vehicle battery pack and a charging pile provided by the present invention;

[0045] Figure 2 for Figure 1 A method flow chart of an embodiment of step S103;

[0046] Figure 3 A system architecture diagram of an embodiment of a combined cooling system for an electric vehicle battery pack and a charging pile provided by the present invention;

[0047] Figure 4 for Figure 3 A schematic diagram of the specific structure of the cooling pipeline of a charging pile. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] Combination Figure 1 As shown, a specific embodiment of the present invention discloses a combined cooling method for an electric vehicle battery pack and a charging pile, which is applied to a combined cooling system for an electric vehicle battery pack and a charging pile. The combined cooling system for an electric vehicle battery pack and a charging pile includes a plurality of charging piles and a control module, wherein each charging pile includes a cooling pipeline, and the cooling pipeline of the charging pile is used to communicate with the cooling circuit of the electric vehicle battery pack to share a cooling medium. The cooling pipelines of the plurality of charging piles can also be interconnected. The control module is used to run the combined cooling method for an electric vehicle battery pack and a charging pile, and the method includes:

[0050] S101, obtaining charging positions and charging parameters of multiple target battery packs, and obtaining setting positions and operating condition parameters of multiple charging piles;

[0051] S102, establishing a plurality of initial allocation vectors according to the charging positions of the plurality of target battery packs and the setting positions of the plurality of charging piles, wherein the allocation vectors are used to characterize the corresponding relationship between the plurality of charging piles and the plurality of target battery packs;

[0052] S103, optimizing multiple initial allocation vectors based on a preset optimization algorithm according to the charging parameters of multiple target battery packs and the operating parameters of multiple charging piles to obtain an optimal allocation vector;

[0053] S104. According to the corresponding relationship represented by the optimal allocation vector, the cooling pipes between the multiple charging piles and the cooling pipes between the charging piles and the target battery pack are connected to achieve joint cooling.

[0054] In the above process, charging parameters refer to parameters related to battery pack charging, such as state of charge (SOC), charging voltage of the battery pack, charging temperature, etc., while operating parameters refer to indicators related to charging voltage, charging power, cooling system capacity (such as circulating pump speed, heat dissipation coefficient, etc.) of the charging pile and the cooling coefficient of the charging pile. It is understandable that in practice, the specific types of the above parameters can also be flexibly set according to different specific design requirements. The charging position and setting position are the position numbers of the battery pack being charged (i.e., the target battery pack) and the charging pile, respectively.

[0055] It can be understood that the initial allocation vector and the optimal allocation vector are both types of allocation vectors. The allocation vector refers to the relationship between multiple charging piles and multiple target battery packs. For example, the vector [1,2,2,3] represents the existence of 4 charging piles and 4 target battery packs. Charging pile No. 1 (reflected by the position of the element) is jointly cooled with target battery pack No. 1, charging pile No. 2 and charging pile No. 3 are jointly cooled with target battery pack No. 2, and charging pile No. 4 is jointly cooled with target battery pack No. 3. Similarly, the vector [1,3,2,1] also realizes the joint cooling of the three target battery packs. It can be seen that by changing the value of the elements in the allocation vector, different corresponding relationships can be expressed. In this way, any preset optimization algorithm (such as genetic algorithm, particle swarm algorithm, etc.) can be used to find the allocation vector that best suits the actual situation.

[0056] Compared with the prior art, the present invention designs the cooling pipes of the charging pile to be connected, and digitally represents the correspondence between the charging pile and the target battery pack by establishing a distribution vector. In this way, the best correspondence between the charging pile and the target battery pack can be found through an optimization algorithm, so that multiple charging piles can cool the same target battery pack at the same time. On the one hand, it makes full use of the heat dissipation hardware facilities of the unused charging piles, and on the other hand, it can also improve the cooling effect on the target battery pack, improve charging efficiency, and reduce the risk of high temperature charging, which perfectly solves the problem in the prior art that multiple electric vehicle battery packs and multiple charging piles cannot be jointly cooled.

[0057] Furthermore, in a preferred embodiment, the above step S102, establishing multiple initial allocation vectors according to the charging positions of multiple target battery packs and the setting positions of multiple charging piles, specifically includes:

[0058] According to the charging parameters and charging positions of the plurality of target battery packs, at least one target battery pack group is obtained, each battery pack group including at least two target battery packs with the same operating condition and adjacent positions;

[0059] Establish charging object numbers for each target battery pack group and other target battery packs not in the target battery pack group;

[0060] Establishing multiple initial allocation vectors according to the locations of multiple charging piles and charging object numbers;

[0061] Among them, each element position in the allocation vector corresponds to the setting position of a charging pile, and the element value in the allocation vector is the charging object number.

[0062] It is conceivable that, due to the limitations of the physical structure and cost considerations, it is difficult to achieve connectivity between the cooling lines of any two charging piles. Therefore, in practice, if two adjacent battery packs with similar charging conditions can be charged together, then only the cooling lines of the adjacent charging piles need to be connected, greatly reducing the difficulty of setting up the cooling lines. Therefore, in this embodiment, the charging parameters and charging positions are used to virtually combine multiple target batteries with the same working conditions and adjacent positions into a target battery pack group, and the target battery pack group is used as a unit for charging. In this way, the idea of ​​combining battery pack cooling can be reflected in the allocation vector by numbering, so that subsequent optimization work can be carried out.

[0063] For example, in the allocation vector [1,2,2,2], number 1 represents a target battery pack, and number 2 represents a target battery pack group including two adjacent target battery packs with the same operating conditions (for example, the two vehicles are of the same model, or the two battery packs have the same soc and charging voltage, etc. In practice, how to determine the same operating conditions can be flexibly set according to specific needs, and all are prior arts). The allocation vector indicates that charging pile No. 1 jointly cools target battery pack No. 1, and charging piles No. 2, 3, and 4 jointly cool the two battery packs in target battery pack group No. 2. At this time, other battery packs that do not require cooling can still be connected to charging piles No. 2, 3, and 4. For example, charging piles No. 2 and No. 3 respectively power the two target battery packs in the target battery pack group, and charging pile No. 4 alone powers a slow-charging battery pack that does not support cooling.

[0064] Further, in a preferred embodiment, a plurality of charging object numbers are arranged in the allocation vector based on the charging position corresponding to each charging object number, and the same charging object numbers are adjacent.

[0065] Similarly, in order to simplify the actual pipeline design, this embodiment further limits the cooling pipelines to be connected only between adjacent charging piles, so as to cool the same target battery pack (or target battery pack group) together. On this basis, in order to make this idea also reflected in the allocation vector, this embodiment further limits the encoding method of the allocation vector, that is, the same charging object numbers are adjacent. For example, for the allocation vector [1,3,2,3], because charging piles No. 2 and No. 4 need to cool target battery pack No. 3 at the same time, but because there is charging pile No. 3 in the middle, the connection between charging piles No. 2 and No. 4 is difficult to achieve (for the convenience of understanding, this article uses simpler examples for illustration. In practice, when the number of charging piles exceeds 6, it is already difficult to achieve connectivity between any two charging piles). However, due to the limitations of this embodiment, the allocation vector can only be in the form of [1,2,3,3], which greatly simplifies the pipe connection structure between the charging piles and significantly reduces the cost. At the same time, it will not hinder the joint cooling between multiple electric vehicle battery packs and multiple charging piles. Even the optimization algorithm can be used to find the optimal joint cooling solution, which significantly improves practicality.

[0066] Further, combined with Figure 2 As shown, in a preferred embodiment, the above step S103, according to the charging parameters of multiple target battery packs and the operating parameters of multiple charging piles, optimizes multiple initial allocation vectors based on a preset optimization algorithm to obtain the optimal allocation vector, including:

[0067] S201, using the initial allocation vector as the target allocation vector;

[0068] S202, calculating the fitness of each target allocation vector based on a preset fitness function, wherein the preset fitness function is used to calculate the pros and cons of a corresponding relationship represented by an allocation vector when used for joint cooling according to charging parameters of multiple target battery packs and operating condition parameters of multiple charging piles;

[0069] S203, screening out the target allocation vector with the highest fitness and a preset proportion to obtain the parent population;

[0070] S204, performing crossover and mutation on the parent population to obtain a child population;

[0071] S205, reusing the parent population and the offspring population as target allocation vectors, and re-executing the steps of calculating the fitness of each target allocation vector based on a preset fitness function, selecting a preset proportion of target allocation vectors with the highest fitness, obtaining the parent population, performing crossover and mutation on the parent population, and obtaining the offspring population, until a preset end condition is reached;

[0072] S206: Obtain an optimal allocation vector according to the target allocation vector obtained in the last iteration.

[0073] The above process is actually the optimization process of the genetic algorithm. For the application scenario of this application, since the data represented by the allocation vector is discrete data, and the number of charging piles in practice will not be particularly large, the above two characteristics make it extremely appropriate to use a genetic algorithm to solve the optimization problem in this application. The genetic algorithm can process multiple allocation vectors at the same time, effectively improving the parallelism of the optimization of this application, which can greatly improve the user experience under the hardware conditions of the existing charging piles. At the same time, the genetic algorithm does not rely on the specific nature of the problem, so it has good robustness to the initial conditions and parameter changes of the problem, which is very effective in the face of the scenario where the actual use of charging piles changes regularly.

[0074] It is understandable that in practice, according to the specific application scenarios and hardware conditions, the preset fitness function in the above genetic algorithm process can also be flexibly set according to specific needs. For example, the product of the heat dissipation capacity coefficients of multiple charging piles corresponding to each target battery pack and the SOC of the target battery pack is calculated, and these products are summed up, and the result is used as the fitness. This design method enables the target battery pack that requires a longer charging time to obtain better auxiliary heat dissipation effect. In addition, it should be noted that the concepts of population, fragment, crossover, mutation, etc. in the above process are all concepts in genetic algorithms, and it is obvious that genetic algorithms are prior arts that can be understood by those skilled in the art, so this article does not explain these words in detail.

[0075] Furthermore, in a preferred embodiment, the above step S204, performing crossover and mutation on the parent population to obtain the offspring population, specifically includes:

[0076] Obtain two target parent individual vectors, wherein the target parent individual vector is the allocation vector to be crossovered in the parent population;

[0077] At the same time, the elements at the same position in the two target parent individual vectors are traversed and compared, and the key position is marked, where the element values ​​at the key position in the two target parent individual vectors are the same, and the element values ​​at the next position of the key position are different;

[0078] Randomly select a non-first key position as the crossover starting position;

[0079] The segments after the crossover start position in the two target parent individual vectors are exchanged to obtain two target offspring individual vectors, where the target offspring individual vector is the allocation vector in the offspring population.

[0080] Similarly, out of consideration for the complexity of pipeline settings, if the conventional genetic algorithm crossover method is based on the allocation vector encoding method described above, it will obviously destroy the above encoding rules, resulting in a large number of non-compliant gene individuals in the genetic process, forcing the genetic algorithm to increase the step of screening individuals, or specify more stringent constraints, slowing down the algorithm's running progress. For example, for the vectors [1,2,2,2,3,3] and [1,2,3,3,3,3], if three elements are used as crossover segments for crossover, an non-compliant allocation vector [1,2,3,2,3,3] will appear, increasing the pressure on the algorithm to exclude abnormal individuals. Similarly, for the above two vectors, if the last two elements are used as crossover segments for crossover, the result after the crossover between the two does not actually change, and the crossover step is obviously meaningless.

[0081] Therefore, in this embodiment, the conventional crossover mutation method is improved so that the conditions for legality screening are implicitly included in the crossover process, so that non-compliant gene individuals will not appear during mutation, which greatly improves the convergence speed of the algorithm. For example, for the above-mentioned vectors, the method of this embodiment will not cross (there is only one crossover position between the two, and it is the first one), avoiding the generation of non-compliant vectors. The significance of this embodiment is to ensure that no repeated individuals or non-compliant individuals will appear after the crossover. For example, for the vectors [1,2,2,3,3,4,4,5] and [1,2,3,4,4,4,5,5], there are two key positions, No. 2 and No. 7. The second key position is selected as the crossover starting point for crossover, and two compliant target offspring individual vectors can be obtained.

[0082] Furthermore, in a preferred embodiment, the above step S204, performing crossover and mutation on the parent population to obtain the offspring population, further includes:

[0083] Obtain an element in the target parent individual vector as the first target element, and obtain an adjacent element of the first target element in the target parent individual vector as the second target element;

[0084] If the value of the first target element is different from the value of the second target element, the value of the first target element in the target parent individual vector is replaced with the value of the second target element, and the target child individual vector is obtained.

[0085] Similarly, if based on the above-mentioned allocation vector encoding method, not only will the conventional genetic algorithm crossover method destroy the above encoding rules, but the conventional mutation method will also have the above problems. Therefore, this embodiment improves the existing mutation method and adds consideration of adjacent elements in the mutation process to avoid the appearance of non-compliant individuals. For example, for the vector [1,2,2,2,3,3], this embodiment will only mutate at the position of the 4th or 5th element, thereby improving the algorithm operation efficiency.

[0086] Furthermore, in a preferred embodiment, the element value of the allocation vector includes a null value, and the null value is used to characterize that the corresponding charging pile does not participate in cooling. In practice, due to the difference in cooling medium, the difference in the actual type of equipment, according to the characteristics of different equipment, and for different specific situations, for the same battery pack, the more charging piles that provide heat dissipation, the better the effect. For example, if the circulating pumps between multiple charging piles are connected in parallel, then according to the characteristic curve of the circulating pump, when the number of connected charging piles exceeds three, the gain of the cooling medium flow rate will be small, and the improvement of the heat dissipation effect will not be particularly significant. At this time, the benefit of connecting the cooling pipeline of the charging pile is not large. Therefore, in practice, it is also necessary to appropriately limit the number of charging piles that provide joint cooling. Therefore, for the allocation vector, setting a null value is also a means to improve the flexibility and practicality of the present invention. The null value can be 0 or any extremely large value.

[0087] Furthermore, in a preferred embodiment, the above step S204, the combined cooling method for electric vehicle battery pack and charging pile according to claim 7, is characterized in that the parent population is crossovered and mutated to obtain the child population, and further comprises:

[0088] Get multiple consecutive element positions with the same element value in the target parent individual vector to get the target element position;

[0089] The element values ​​of the first and / or last target element positions in the target parent individual vector are set to null values, and the target child individual vector is obtained.

[0090] The above process is to further improve the mutation mode of the existing genetic algorithm on the basis of allowing the cooling pipe of the charging pile to be idle, so as to improve the operation efficiency of the algorithm. At the same time, the behavior of randomly setting to null value in this embodiment can also increase the ability of searching for the optimal solution of this method and improve its practicality.

[0091] Combination Figure 3As shown, the present invention also provides a combined cooling system for an electric vehicle battery pack and a charging pile, the system comprising a plurality of charging piles 310 and a control module 320, wherein each charging pile comprises a cooling pipeline 311, the cooling pipeline of the charging pile is used to communicate with the cooling circuit of the electric vehicle battery pack to share the cooling medium, and the cooling pipelines of the plurality of charging piles can also be interconnected, and the control module is used to:

[0092] Obtain the charging positions and charging parameters of multiple target battery packs, and obtain the setting positions and operating parameters of multiple charging piles;

[0093] Establishing multiple initial allocation vectors according to the charging positions of multiple target battery packs and the setting positions of multiple charging piles, wherein the allocation vectors are used to characterize the corresponding relationship between the multiple charging piles and the multiple target battery packs;

[0094] According to the charging parameters of multiple target battery packs and the operating parameters of multiple charging piles, multiple initial allocation vectors are optimized based on a preset optimization algorithm to obtain an optimal allocation vector;

[0095] According to the corresponding relationship represented by the optimal allocation vector, the cooling pipes between the multiple charging piles and the cooling pipes between the charging piles and the target battery pack are connected to achieve joint cooling.

[0096] It should be noted here that the corresponding system provided in the above embodiments can implement the technical solutions described in the above method embodiments. The specific implementation principles of the above modules or units can be found in the corresponding contents in the above method embodiments, which will not be repeated here.

[0097] Further, combined with Figure 4As shown, in a preferred embodiment, the cooling circuit of the charging pile includes a radiator 31110 and a first input pipe 31121 connected to the radiator, and multiple first input pipes 31121 are connected to an input distribution pipe 31122. A first input control valve 31123 is provided between the connecting positions of every two first input pipes 31121 in the input distribution pipe 31122. The input distribution pipe 21122 is also connected to multiple second input pipes 31124, and the multiple second input pipes 31124 correspond to each charging pile respectively, and are used to connect the cooling circuit of the battery pack of the electric vehicle. Each second input pipe 31124 is provided with a second input control valve 31123. control valve 31125; the cooling circuit of the charging pile also includes a first return pipe 31131 connected to the radiator 31110, and multiple first return pipes 31131 are connected to a return distribution pipe 31132, and a first return control valve 31133 is arranged between the connecting positions of every two first return pipes 31131 in the return distribution pipe 31132, and the return distribution pipe 21122 is also connected to multiple second return pipes 31134, and the multiple second return pipes 31134 correspond to each charging pile respectively, and are used to connect the cooling circuit of the electric vehicle battery pack, and each second return pipe 31134 is provided with a second return control valve 31135.

[0098] In the above structure, the cooling medium with a lower temperature is input to the battery pack through the first input pipe 31121, the input distribution pipe 31122, and the second input pipe 31124, the connection between the cooling circuits of different charging piles is controlled by the first input control valve 31123, and the connection between the cooling circuit of the charging pile and the battery pack is controlled by the second input control valve 31125. The opening and closing of the first input control valve 31123 and the second input control valve 31125 are determined according to the optimal distribution vector. Similarly, the cooling medium with a higher temperature is returned to the radiator through the first return pipe 31131, the return distribution pipe 31132, and the second return pipe 31134. The connection between the cooling circuits of different charging piles is controlled by the first return control valve 31133, and the connection between the cooling circuit of the charging pile and the battery pack is controlled by the second return control valve 31135. The opening and closing of the first return control valve 31133 and the second return control valve 31135 are determined according to the optimal distribution vector.

[0099] The above is a preferred cooling pipe structure for a charging pile. The above structure greatly simplifies the way in which the cooling pipes of the charging piles are connected to each other. It not only realizes the connection between the cooling pipes of the charging piles, but also realizes the joint cooling between multiple electric vehicle battery packs and charging piles in a simple way. Most importantly, the above structure provides a hardware foundation for each embodiment of the joint cooling method of the electric vehicle battery pack and the charging pile described above, which improves the calculation efficiency of the algorithm and significantly improves the practicality.

[0100] The present invention provides a method for jointly cooling an electric vehicle battery pack and a charging pile, which is applied to a joint cooling system for an electric vehicle battery pack and a charging pile. The system comprises a plurality of charging piles and a control module, each charging pile comprises a cooling pipeline, the cooling pipeline of the charging pile is used to be connected with a cooling circuit of the electric vehicle battery pack to share a cooling medium, and the cooling pipelines of the plurality of charging piles can also be connected with each other. The control module is used to obtain the charging positions and charging parameters of a plurality of target battery packs, obtain the setting positions and operating parameters of a plurality of charging piles, and then establish a plurality of initial allocation vectors according to the charging positions of the plurality of target battery packs and the setting positions of the plurality of charging piles, wherein the allocation vector is used to characterize the corresponding relationship between the plurality of charging piles and the plurality of target battery packs, and then optimize the plurality of initial allocation vectors based on a preset optimization algorithm according to the charging parameters of the plurality of target battery packs and the operating parameters of the plurality of charging piles to obtain an optimal allocation vector, and finally, according to the corresponding relationship represented by the optimal allocation vector, connect the cooling pipelines between the plurality of charging piles and the cooling pipelines between the charging piles and the target battery packs to achieve joint cooling. Compared with the prior art, the present invention designs the cooling pipes of the charging pile to be connected, and digitally represents the correspondence between the charging pile and the target battery pack by establishing a distribution vector. In this way, the best correspondence between the charging pile and the target battery pack can be found through an optimization algorithm, so that multiple charging piles can cool the same target battery pack at the same time. On the one hand, it makes full use of the heat dissipation hardware facilities of the unused charging piles, and on the other hand, it can also improve the cooling effect on the target battery pack, improve charging efficiency, and reduce the risk of high temperature charging, which perfectly solves the problem in the prior art that multiple electric vehicle battery packs and multiple charging piles cannot be jointly cooled.

[0101] It should be noted that the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0102] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A combined cooling method for an electric vehicle battery pack and a charging pile, characterized in that: Applicable to the electric vehicle battery pack and charging pile joint cooling system, the electric vehicle battery pack and charging pile joint cooling system includes multiple charging piles and a control module, wherein each charging pile includes a cooling pipeline, the cooling pipeline of the charging pile is used to communicate with the cooling circuit of the electric vehicle battery pack to share the cooling medium, and the cooling pipelines of the multiple charging piles can also be interconnected. The control module is used to run the electric vehicle battery pack and charging pile joint cooling method, the method includes: Obtain the charging positions and charging parameters of multiple target battery packs, and obtain the setting positions and operating parameters of multiple charging piles; Establishing a plurality of initial allocation vectors according to the charging positions of the plurality of target battery packs and the setting positions of the plurality of charging piles, wherein the allocation vectors are used to characterize the corresponding relationship between the plurality of charging piles and the plurality of target battery packs; According to the charging parameters of multiple target battery packs and the operating parameters of multiple charging piles, multiple initial allocation vectors are optimized based on a preset optimization algorithm to obtain an optimal allocation vector; According to the corresponding relationship represented by the optimal allocation vector, the cooling pipes between the multiple charging piles and the cooling pipes between the charging piles and the target battery pack are connected to achieve joint cooling; Among them, according to the charging positions of multiple target battery packs and the setting positions of multiple charging piles, multiple initial allocation vectors are established, including: According to the charging parameters and charging positions of the plurality of target battery packs, at least one target battery pack group is obtained, each battery pack group including at least two target battery packs with the same operating condition and adjacent positions; Establish charging object numbers for each target battery pack group and other target battery packs not in the target battery pack group; Establishing multiple initial allocation vectors according to the locations of multiple charging piles and charging object numbers; Wherein, each element position in the allocation vector corresponds to a setting position of a charging pile, and the element value in the allocation vector is the charging object number; Among them, according to the charging parameters of multiple target battery packs and the operating parameters of multiple charging piles, multiple initial allocation vectors are optimized based on a preset optimization algorithm to obtain the optimal allocation vector, including: Using the initial allocation vector as the target allocation vector; The fitness of each target allocation vector is calculated based on a preset fitness function, wherein the preset fitness function is used to calculate the pros and cons of a corresponding relationship represented by an allocation vector when used for joint cooling according to charging parameters of multiple target battery packs and operating parameters of multiple charging piles; Filter out the target allocation vector with the highest preset proportion of fitness to obtain the parent population; Perform crossover and mutation on the parent population to obtain the offspring population; The parent population and the offspring population are used as target allocation vectors again, and the steps of calculating the fitness of each target allocation vector based on a preset fitness function, selecting a preset proportion of target allocation vectors with the highest fitness, obtaining the parent population, performing crossover and mutation on the parent population, and obtaining the offspring population are re-executed until a preset end condition is reached; According to the target allocation vector obtained in the last iteration, the optimal allocation vector is obtained; Among them, the parent population is crossover and mutation, and the offspring population is obtained, including: Obtain two target parent individual vectors, wherein the target parent individual vector is the allocation vector to be crossovered in the parent population; At the same time, the elements at the same position in the two target parent individual vectors are traversed and compared, and the key position is marked, where the element values ​​at the key position in the two target parent individual vectors are the same, and the element values ​​at the next position of the key position are different; Randomly select a non-first key position as the crossover starting position; The segments after the crossover start position in the two target parent individual vectors are exchanged to obtain two target offspring individual vectors, where the target offspring individual vector is the allocation vector in the offspring population.

2. The electric vehicle battery pack and charging pile combined cooling method according to claim 1, characterized in that: A plurality of charging target numbers are arranged in the allocation vector based on a charging position corresponding to each charging target number, and the same charging target numbers are adjacent to each other.

3. The electric vehicle battery pack and charging pile combined cooling method according to claim 1, characterized in that: Perform crossover and mutation on the parent population to obtain the offspring population, which also includes: Obtain an element in the target parent individual vector as the first target element, and obtain an adjacent element of the first target element in the target parent individual vector as the second target element; If the value of the first target element is different from the value of the second target element, the value of the first target element in the target parent individual vector is replaced with the value of the second target element, and the target child individual vector is obtained.

4. The electric vehicle battery pack and charging pile combined cooling method according to claim 3, characterized in that: The element values ​​of the allocation vector include null values, and the null values ​​are used to indicate that the corresponding charging pile does not participate in cooling.

5. The electric vehicle battery pack and charging pile combined cooling method according to claim 4, characterized in that: Perform crossover and mutation on the parent population to obtain the offspring population, which also includes: Get multiple consecutive element positions with the same element value in the target parent individual vector to get the target element position; The element values ​​of the first and / or last target element positions in the target parent individual vector are set to null values, and the target child individual vector is obtained.

6. A combined cooling system for an electric vehicle battery pack and a charging pile, characterized in that: It includes multiple charging piles and a control module, wherein each charging pile includes a cooling pipeline, the cooling pipeline of the charging pile is used to communicate with the cooling circuit of the electric vehicle battery pack to share the cooling medium, and the cooling pipelines of the multiple charging piles can also be interconnected. The control module is used to: Obtain the charging positions and charging parameters of multiple target battery packs, and obtain the setting positions and operating parameters of multiple charging piles; Establishing a plurality of initial allocation vectors according to the charging positions of the plurality of target battery packs and the setting positions of the plurality of charging piles, wherein the allocation vectors are used to characterize the corresponding relationship between the plurality of charging piles and the plurality of target battery packs; According to the charging parameters of multiple target battery packs and the operating parameters of multiple charging piles, multiple initial allocation vectors are optimized based on a preset optimization algorithm to obtain an optimal allocation vector; According to the corresponding relationship represented by the optimal allocation vector, the cooling pipes between the multiple charging piles and the cooling pipes between the charging piles and the target battery pack are connected to achieve joint cooling; Among them, according to the charging positions of multiple target battery packs and the setting positions of multiple charging piles, multiple initial allocation vectors are established, including: According to the charging parameters and charging positions of the plurality of target battery packs, at least one target battery pack group is obtained, each battery pack group including at least two target battery packs with the same operating condition and adjacent positions; Establish charging object numbers for each target battery pack group and other target battery packs not in the target battery pack group; Establishing multiple initial allocation vectors according to the locations of multiple charging piles and charging object numbers; Wherein, each element position in the allocation vector corresponds to a setting position of a charging pile, and the element value in the allocation vector is the charging object number; Among them, according to the charging parameters of multiple target battery packs and the operating parameters of multiple charging piles, multiple initial allocation vectors are optimized based on a preset optimization algorithm to obtain the optimal allocation vector, including: Using the initial allocation vector as the target allocation vector; The fitness of each target allocation vector is calculated based on a preset fitness function, wherein the preset fitness function is used to calculate the pros and cons of a corresponding relationship represented by an allocation vector when used for joint cooling according to charging parameters of multiple target battery packs and operating parameters of multiple charging piles; Filter out the target allocation vector with the highest preset proportion of fitness to obtain the parent population; Perform crossover and mutation on the parent population to obtain the offspring population; The parent population and the offspring population are used as target allocation vectors again, and the steps of calculating the fitness of each target allocation vector based on a preset fitness function, selecting a preset proportion of target allocation vectors with the highest fitness, obtaining the parent population, performing crossover and mutation on the parent population, and obtaining the offspring population are re-executed until a preset end condition is reached; According to the target allocation vector obtained in the last iteration, the optimal allocation vector is obtained; Among them, the parent population is crossover and mutation, and the offspring population is obtained, including: Obtain two target parent individual vectors, wherein the target parent individual vector is the allocation vector to be crossovered in the parent population; At the same time, the elements at the same position in the two target parent individual vectors are traversed and compared, and the key position is marked, where the element values ​​at the key position in the two target parent individual vectors are the same, and the element values ​​at the next position of the key position are different; Randomly select a non-first key position as the crossover starting position; The segments after the crossover start position in the two target parent individual vectors are exchanged to obtain two target offspring individual vectors, where the target offspring individual vector is the allocation vector in the offspring population.

7. The electric vehicle battery pack and charging pile combined cooling system according to claim 6, characterized in that: The cooling pipeline of the charging pile includes a radiator and a first input pipe connected to the radiator, multiple first input pipes are connected to an input distribution pipe, and a first input control valve is arranged between the connecting positions of every two first input pipes in the input distribution pipe. The input distribution pipe is also connected to multiple second input pipes, and the multiple second input pipes correspond to each charging pile respectively and are used to connect the cooling circuit of the electric vehicle battery pack, and a second input control valve is arranged on each second input pipe; the cooling pipeline of the charging pile also includes a first return pipe connected to the radiator, multiple first return pipes are connected to a return distribution pipe, and a first return control valve is arranged between the connecting positions of every two first return pipes in the return distribution pipe. The return distribution pipe is also connected to multiple second return pipes, and the multiple second return pipes correspond to each charging pile respectively and are used to connect the cooling circuit of the electric vehicle battery pack, and a second return control valve is arranged on each second return pipe.

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