Configuration Method and Configuration Device for Battery Cell Detection System

Abstract

The present application provides a configuration method and a configuration device for a battery cell detection system. The configuration method includes: configuring a plurality of channels based on a plurality of candidate channel numbers, wherein configuring the plurality of channels based on the plurality of candidate channel numbers includes: for each of the candidate channel numbers, obtaining a value of a relevant parameter related to the energy loss of the battery cell detection system having the candidate channel number; obtaining energy loss information of the battery cell detection system having the candidate channel number based on the value of the relevant parameter for each of the candidate channel numbers; and determining the number of the plurality of channels based at least on the energy loss information for each of the candidate channel numbers and the plurality of candidate channel numbers. Through the implementation scheme of the present application, the energy utilization rate of the battery cell detection system can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of battery cell detection, and particularly to a configuration method and device for a battery cell detection system, a battery cell detection system, an electronic device, a computer-readable storage medium, and a computer program product. Background Art

[0002] Before leaving the factory, in order to ensure the safe use of battery cells, various detections need to be performed on the battery cells to ensure the performance of the battery cells. Generally, a battery cell detection system is used to perform charge and discharge detections on the battery cells.

[0003] How to improve the energy utilization rate of the battery cell detection system is a technical problem urgently to be solved in this field. Summary of the Invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, an object of the present application is to provide a configuration method and device for a battery cell detection system, a battery cell detection system, an electronic device, a computer-readable storage medium, and a computer program product to improve the energy utilization rate of the battery cell detection system.

[0005] An embodiment of the first aspect of the present application provides a configuration method for a battery cell detection system. The battery cell detection system includes a plurality of channels. One end of each channel is used to connect to a power supply device and the other end is used to connect to a battery cell. The configuration method includes configuring the plurality of channels based on a plurality of candidate channel numbers. Wherein, configuring the plurality of channels based on the plurality of candidate channel numbers includes: for each of the candidate channel numbers, obtaining a numerical value of a relevant parameter related to the energy loss of the battery cell detection system having the candidate channel number; based on the numerical values of the relevant parameters for each of the candidate channel numbers, obtaining energy loss information of the battery cell detection system having the candidate channel number; and determining the number of the plurality of channels at least based on the energy loss information for each of the candidate channel numbers and the plurality of candidate channel numbers.

[0006] In the technical solution of the embodiment of the present application, by determining the energy loss information of the battery cell detection system with each candidate channel number and determining the number of the plurality of channels to be configured from the candidate channel numbers based on these energy loss information, the energy utilization rate of the battery cell detection system with the determined channel number can be relatively high, so as to save the electric energy in the test link. In addition, since the production and storage of battery cells have high requirements for temperature, the improvement of the energy utilization rate of the configured battery cell detection system can also reduce the electric energy loss from turning into heat and dissipating into the air, thereby reducing the defective rate of the battery cells.

[0007] In some embodiments, the battery cell detection system includes a connection line for connecting to the power supply device, and one end of the plurality of channels is connected to the connection line. Although a battery cell detection system with an internal loop (each channel is connected to each other through a connection line and connected to a DC bus via the connection line, and when the battery cell connected to the channel discharges, electrical energy can be transmitted to other channels in the internal loop that need to be charged) can reduce power loss, as the number of internal loop lines (i.e., the number of channels) increases, the line resistance of the connection line also increases. Therefore, the above embodiment solution can optimize the number of channels of the battery cell detection system with an internal loop to improve the energy utilization rate of the battery cell detection system.

[0008] In some embodiments, obtaining the energy loss information of the battery cell detection system with the candidate number of channels based on the numerical values of the relevant parameters for each candidate number of channels includes: inputting the numerical values of the relevant parameters for each candidate number of channels into a mathematical optimization model to obtain the energy loss information of the battery cell detection system with the candidate number of channels. Since in an actual battery cell test system, the number of channels is usually hundreds, thousands, or tens of thousands, it is usually difficult to calculate only by relying on manual work at this time. The above method of establishing a mathematical optimization model to obtain the energy loss information of the battery cell detection system with each candidate number of channels can improve the calculation efficiency and accuracy.

[0009] In some embodiments, the mathematical optimization model is constructed based on an objective function for calculating the energy loss information of the battery cell detection system. Using a mathematical optimization model established based on an objective function for calculating the energy loss information of the battery cell detection system can improve the accuracy and reliability of the calculation of the energy loss information of the battery cell detection system.

[0010] In some embodiments, when the battery cell detection system includes a connection line for connecting between the power supply device and the plurality of channels, the objective function is defined at least based on the channel loss energy, the connection line loss energy, and the supply energy of the battery cell detection system. On the one hand, the above embodiment comprehensively considers various loss energies related to the number of channels in the battery cell detection system, so that the number of channels determined based on the energy loss information is more accurate and reliable. On the other hand, the energy loss rate is used as the energy loss information to avoid the influence of different supply energies, so as to improve the accuracy and reliability of the mathematical optimization model.

[0011] In some embodiments, the energy loss information includes an energy loss rate, and the objective function is the ratio of the sum of the channel loss energy and the connection line loss energy to the supply energy of the battery cell detection system. On the one hand, the above implementation comprehensively considers various loss energies related to the number of channels in the battery cell detection system, so that the number of channels determined based on the energy loss information is more accurate and reliable. On the other hand, the energy loss rate is used as the energy loss information to avoid the influence of different supply energies, so as to improve the accuracy and reliability of the mathematical optimization model.

[0012] In some embodiments, for the battery cell detection system with the candidate number of channels, the supply energy of the battery cell detection system includes either the sum of the supply energies supplied by each channel to the battery cells connected to the channel or the energy supplied by the power supply device to the battery cell detection system. The above implementation can improve the accuracy of calculating the supply energy of the battery cell detection system, thereby improving the accuracy and reliability of the mathematical optimization model.

[0013] In some embodiments, the supply energy supplied by each channel to the battery cells connected to the channel is determined according to the supply energy defined by the test voltage of the battery cells connected to the channel and the test current of the channel. Introducing the test voltage and test current to calculate the supply energy in the above implementation can more accurately restore the actual use scenario of the battery cell detection system, so as to improve the accuracy of calculating the supply energy of the battery cell detection system, thereby improving the accuracy and reliability of the mathematical optimization model.

[0014] In some embodiments, the channel loss energy is the energy consumed after the electric energy passes through the channels with the candidate number of channels, and is determined by a secondary loss energy equation defined according to the test voltage of the battery cells connected to the channel, the test current of the channel, and the loss coefficient of the channel. Introducing the test current, test voltage, and loss coefficient to calculate the channel loss energy in the above implementation can more accurately restore the actual use scenario of the battery cell detection system, so as to improve the accuracy of calculating the loss energy of the channels in the battery cell detection system, thereby improving the accuracy and reliability of the mathematical optimization model.

[0015] In some embodiments, the secondary loss energy equation is as follows: E2 = E(S1×U1×|I1| + S2×U2×|I2| + … + Sn×Un×|In|), where E2 is the channel loss energy, n is the number of candidate channels, U1, U2, ..., Un are the test voltages of the battery cells connected to each of the n channels, I1, I2, ..., In are the test currents of each of the n channels, and S1, S2, ..., Sn are the loss coefficients of each of the n channels. Introducing the expected value in the above embodiment can improve the accuracy of the calculation of the loss energy of the channels of the battery cell detection system, thereby improving the accuracy and reliability of the mathematical optimization model.

[0016] In some embodiments, the battery cell detection system further includes a DC bus connected between the power supply device and the plurality of channels. The objective function is defined based on the channel loss energy, the DC bus loss energy, the connection line loss energy, and the supply energy of the battery cell detection system. The DC bus loss energy is the energy consumed at the DC bus by the electric energy flowing back from the channels with the number of candidate channels, and is determined by the primary loss energy equation defined according to the voltage at the DC bus, the test voltage of the battery cell connected to the channel, the test current of the channel, and the loss coefficient of the DC bus. Introducing the expected value in the above embodiment can improve the accuracy of the calculation of the loss energy of the DC bus of the battery cell detection system, thereby improving the accuracy and reliability of the mathematical optimization model.

[0017] In some embodiments, the primary loss energy equation is as follows: E1 = E(S×U×|I1″ + I2″ + … + In″|), where E1 is the loss energy of the DC bus, n is the number of candidate channels, U is the voltage at the DC bus, I1″ = (1 - S1)×U1×I1 / U, I2″ = (1 - S2)×U2×I2 / U, ……, In″ = (1 - Sn)×Un×In / U, S is the loss coefficient of the DC bus, U1, U2, ..., Un are the test voltages of the battery cells connected to each of the n channels, I1, I2, ..., In are the test currents of each of the n channels, S1, S2, ..., Sn are the loss coefficients of each of the n channels, and S is the loss coefficient of the DC bus. Introducing the expected value in the above embodiment can improve the accuracy of the calculation of the loss energy of the DC bus of the battery cell detection system, thereby improving the accuracy and reliability of the mathematical optimization model.

[0018] In some embodiments, the battery cell detection system further includes a DC bus connected between the power supply device and the plurality of channels. The loss energy of the connection line is the energy consumed by the electric energy flowing back from the channels of the candidate channel quantity at the connection line, and is determined based on the resistance at the connection line, the test voltage of the battery cell connected to the channel, the test current of the channel, the loss coefficient of the channel, and the resistance loss energy defined by the voltage at the DC bus. In the above embodiments, the accuracy of calculating the loss energy of the connection line of the battery cell detection system can be improved, so that the accuracy and reliability of the mathematical optimization model can be improved.

[0019] In some embodiments, the DC bus is connected at a preset position in the connection line. The connection line includes sub-connection lines between adjacent channels among the plurality of channels. The loss energy of the connection line is equal to the sum of the loss energies of each sub-connection line, and the loss energy of each sub-connection line is determined according to the sub-resistance loss energy equation defined by the resistance of the sub-connection line, the test voltage of the battery cell connected to the channel, the test current of each of the two adjacent channels, the loss coefficient of the channel far from the DC bus among the two adjacent channels, and the voltage at the DC bus. The sub-resistance loss energy equation is as follows: Wherein, E3 is the loss energy of the sub-connection line, Ui is the test voltage of the battery cell connected to the channel far from the DC bus among the two adjacent channels, Iip and Si are respectively the test current and the loss coefficient of the channel far from the DC bus among the two adjacent channels, I(i-1) is the current on the sub-connection line adjacent to the side of the sub-connection line far from the DC bus, U is the voltage at the DC bus, and R is the resistance of the sub-connection line. In the above embodiments, the accuracy of calculating the loss energy of the connection line of the battery cell detection system can be improved, so that the accuracy and reliability of the mathematical optimization model can be improved.

[0020] In some embodiments, when the battery cell detection system further includes a DC bus connected between the power supply device and the plurality of channels, and a power supply terminal for connecting the power supply device and connected to the DC bus, a main control switch is provided between the power supply terminal and the power supply device, and is connected via a bus between the main control switch and the power supply device. The constraint conditions of the objective function include at least one of the following: the ratio of the supply energy supplied by the channels with the candidate channel number to the battery cells connected to the channels to the supply voltage at the power supply terminal is less than or equal to the main control current threshold, and the main control current threshold is related to the rated current of the main control switch; the ratio of the supply energy supplied by the channels with the candidate channel number to the battery cells connected to the channels to the supply voltage at the power supply terminal is less than or equal to the bus current threshold, and the bus current threshold is related to the maximum allowable current of the bus; the sum of the currents flowing back to the DC bus from each of the channels with the candidate channel number is less than or equal to the maximum allowable current of the DC bus; and the candidate channel number is less than or equal to the maximum allowable channel number of the battery cell detection system. The above embodiments can enable the mathematical optimization model to more realistically restore the actual usage scenario of the battery cell detection system, thereby improving the accuracy and reliability of the mathematical optimization model.

[0021] In some embodiments, determining the number of the plurality of channels based at least on the energy loss information for each of the candidate channel numbers and the plurality of candidate channel numbers includes: for each of the candidate channel numbers, based on the numerical values of the relevant parameters for the candidate channel number, the energy loss information of the battery cell detection system with the candidate channel number obtained through experimental verification; based on the energy loss information for each of the candidate channel numbers, the plurality of candidate channel numbers, and the result of the verification, determining the number of the plurality of channels. The above embodiments further verify the accuracy of the calculated energy loss information through experiments, so that the determined number of channels is more accurate and reliable.

[0022] An embodiment of the second aspect of the present application provides a configuration device for a cell detection system. The cell detection system includes a plurality of channels, one end of each channel is used to connect to a power supply device and the other end is used to connect to a cell. It is characterized in that the configuration device includes a configuration module, and the configuration module is configured to configure the plurality of channels based on a plurality of candidate channel numbers. Wherein, the configuration module includes: an acquisition module configured to acquire, for each of the candidate channel numbers, a value of a relevant parameter related to the energy loss of the cell detection system having the candidate channel number; an obtaining module configured to obtain, based on the values of the relevant parameters for each of the candidate channel numbers, energy loss information of the cell detection system having the candidate channel number; and a determination module configured to determine, at least based on the energy loss information for each of the candidate channel numbers and the plurality of candidate channel numbers, the number of the plurality of channels. The technical effect of this embodiment can be the same as that of the foregoing configuration method.

[0023] An embodiment of the third aspect of the present application provides a cell detection system. The cell detection system includes a plurality of channels, and the number of channels of the plurality of channels is determined by executing the configuration method according to the foregoing first aspect. The technical effect of this embodiment can be the same as that of the foregoing configuration method.

[0024] An embodiment of the fourth aspect of the present application provides an electronic device, including at least one processor and a memory communicatively connected to the at least one processor. Wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the configuration method as described in the foregoing first aspect.

[0025] An embodiment of the fifth aspect of the present application provides a computer-readable storage medium storing computer instructions, and the computer instructions are configured to cause a computer to execute the configuration as described in the foregoing first aspect.

[0026] An embodiment of the sixth aspect of the present application provides a computer program product, including a computer program that implements the configuration method as described in the foregoing first aspect when executed by a processor.

[0027] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the specific embodiments of the present application are hereinafter given. Description of the Drawings

[0028] In the drawings, unless otherwise specified, the same reference numerals throughout the several drawings denote the same or similar components or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings depict only some embodiments disclosed in the present application and should not be regarded as limiting the scope of the present application.

[0029] Figure 1 Schematic diagram of the battery cell detection system for some embodiments of the present application;

[0030] Figure 2 Flowchart of the detection method for some embodiments of the present application;

[0031] Figure 3 For some embodiments of the present application Figure 1 Principle diagram of the battery cell detection system in

[0032] Figure 4 Graph showing the relationship between the energy loss rate and the number of channels for some embodiments of the present application; and

[0033] Figure 5 Block diagram of the configuration device for some embodiments of the present application; and

[0034] Figure 6 Flowchart of the test method for a vehicle in some other embodiments of the present application. Detailed Description of the Embodiments

[0035] Hereinafter, embodiments of the technical solutions of the present application will be described in detail with reference to the drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application and, therefore, are only examples and should not be used to limit the protection scope of the present application.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above drawings are intended to cover non-exclusive inclusion.

[0037] In the description of the embodiments of the present application, technical terms such as "first" and "second" are only used to distinguish different objects and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity, specific order or primary-secondary relationship of the indicated technical features. In the description of the embodiments of the present application, "a plurality of" means two or more unless otherwise specifically defined.

[0038] References to "embodiments" in this specification mean that specific features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of the present application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive of other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0039] In the description of the embodiments of the present application, the term "and / or" is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after.

[0040] In the description of the embodiments of the present application, the term "plural" refers to two or more (including two). Similarly, "multiple groups" refers to two or more groups (including two groups), and "multiple pieces" refers to two or more pieces (including two pieces).

[0041] In the description of the embodiments of the present application, the orientation or positional relationship indicated by technical terms such as "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the embodiments of the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on the embodiments of the present application.

[0042] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installation", "connection", "connection", "fixation", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can also be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to specific situations.

[0043] The present inventor has noticed that although a battery cell detection system with an internal loop (where each channel is connected to each other via a connection line and connected to a DC bus via the connection line, and when the battery cells connected to the channels discharge, electrical energy can be transferred to other channels in the internal loop that need to be charged) can reduce power loss, however, as the number of channels in the internal loop (i.e., the number of channels) increases, the line resistance of the connection lines also increases. Therefore, it is not the case that the more channels, the better. How to determine the optimal number of channels for the battery cell detection system to optimize the energy utilization rate of the configured battery cell detection system is an important issue in the art.

[0044] Based on this, through in-depth research, the inventor provides a configuration method and a configuration device for a battery cell detection system, a battery cell detection system, an electronic device, a computer-readable storage medium, and a computer program product to determine a suitable number of channels, thereby improving the energy utilization rate of the battery cell detection system with the number of channels.

[0045] The implementation solution of this application can determine the energy loss information of the battery cell detection system with each candidate number of channels, and based on these energy loss information, determine the number of a plurality of channels to be configured from the candidate numbers of channels, which can make the energy utilization rate of the battery cell detection system with the determined number of channels relatively high to save electrical energy in the testing process. In addition, since the production and storage of battery cells have high requirements for temperature, the improvement of the energy utilization rate of the configured battery cell detection system can also reduce the electrical energy loss from turning into heat and dissipating into the air, thereby reducing the defective rate of battery cells.

[0046] The configuration method disclosed in the embodiments of this application can be used in a battery cell detection system. The battery cell detection system can include, but is not limited to, a charge and discharge machine or other detection systems for battery cells, etc.

[0047] For the convenience of description in the following embodiments, a battery cell detection system 1000 in an embodiment of this application is taken as an example for description.

[0048] Please refer to Figure 1 , Figure 1A schematic diagram of the structure of a cell detection system 1000 provided for some embodiments of the present application. The cell detection system includes a power supply terminal 110, a DC bus 140, a plurality of channels 160, and a connecting line 150. Among them, one end of each channel 160 is connected to the DC bus 140 and the other end is used to connect the cell 170. Each channel 150 may include a power converter 161 (e.g., a DC / DC converter) to change the voltage supplied by the DC bus 140. The connecting line 150 is connected between the DC bus 140 and the plurality of channels 160, that is, the plurality of channels 160 are connected in parallel to the connecting line 150 and are connected to one side of the DC bus 140 through the connecting line 150. The connecting line 150 may include a sub-connecting line 151 between adjacent channels in the plurality of channels. In this way, the electric energy of the cell in the discharge state in the channel can be transmitted to other channels that need to be charged through the connecting line, thereby avoiding the electric energy from flowing back to the previous level (e.g., the DC bus) as much as possible. One side of the DC bus 140 is connected to a preset position in the connecting line 150. The other side of the DC bus 140 is connected to the power supply end 110 via, for example, a transformer 120 (for example, a bidirectional AC / DC converter) and a power converter 130 (for example, a DC / DC converter). The power supply end 110 can be used for power supply equipment such as a power grid. A master control switch (not shown) is provided between the power supply end 110 and the power supply equipment (not shown), and the master control switch and the power supply equipment are connected by a bus. Assuming that the power supply equipment provides 380V AC, it is converted into, for example, 750V DC after passing through the transformer 120 in the battery cell detection system, and then converted into, for example, 15V DC via the power converter 130 and supplied to the DC bus 140, and the electric energy of the DC bus 140 is converted into, for example, 5V DC via the power converter 161 to supply the battery cell 170.

[0049] In the above circuit structure, the channel 160 and the power converter 161 and cables included in the channel 160 can be called a primary circuit, and the power loss of the primary circuit is called a primary loss. The DC bus 140 and the cables included in the DC bus 140 can be called a secondary circuit, and the power loss of the secondary circuit is called a secondary loss.

[0050] In some examples, the DC bus can be connected at a preset position in the connection line, that is, connected at any position in the connection line, for example, opposite to the middle channel, or opposite to the side channel. In some examples, the line resistance of the sub-connection lines on the left and right sides of the DC bus is usually close to balanced. That is, when the number of channels m is an odd number, there are (m-1) / 2 sub-connection lines on the left and right sides of the DC bus. When the number of channels m is an even number, there are (m-1) / 2 sub-connection lines on the left and right sides of the DC bus. Sub-connection line. Figure 1As shown, the number of channels of the battery cell detection system 1000 is 5. At this time, the number of sub-connection lines on both the left and right sides of the DC bus 140 is 2 each.

[0051] It should be understood here that although Figure 1 only 5 channels are shown in, but multiple channels may include 2, 3, 7, etc. channels, and the present disclosure is not limited thereto.

[0052] As Figure 2 shown, a configuration method 2000 of a battery cell detection system (for example, the battery cell detection system 1000 in Figure 1 ) provided by some embodiments of the present application. The battery cell detection system includes multiple channels, one end of each channel is connected to a power supply device and the other end is used to connect to a battery cell, and the configuration method 2000 may include: configuring multiple channels based on multiple candidate channel numbers. Among them, configuring multiple channels based on multiple candidate channel numbers includes: Step S201, for each candidate channel number, obtain the numerical value of the relevant parameter related to the energy loss of the battery cell detection system having this candidate channel number; Step S202, based on the numerical value of the relevant parameter for each candidate channel number, obtain the energy loss information of the battery cell detection system having this candidate channel number; Step S203, determine the number of multiple channels at least based on the energy loss information for each candidate channel number and the multiple candidate channel numbers.

[0053] The above can determine the energy loss amount of the battery cell detection system with different channel numbers through a mathematical optimization model. Thus, based on the energy loss amount of the battery cell detection system with different channel numbers, a suitable configured channel number can be determined to achieve a relatively high energy utilization rate of the configured battery cell detection system. Among them, the relevant parameters related to the energy loss of the battery cell detection system having this candidate channel number may include: parameters related to the inherent characteristics of the battery cell detection system (for example, loss coefficient) and electrical parameters that may be involved when the battery cell detection system is in use (for example, the voltage and current of each part of the battery cell detection system, the voltage at the DC bus) and other parameters related to energy loss. Specifically, for example, the relevant parameters may include the test voltage of the battery cell connected to the channel, at least one test current of the battery cell and the expected probability of the test current, the loss coefficient of the channel, the loss coefficient of the DC bus, the voltage of the DC bus, the supply energy at the power supply end (that is, the supply voltage and supply current at the power supply end), etc. In addition, the energy loss information may include the energy loss rate.

[0054] In the above embodiments, when determining the energy loss information of a battery cell detection system with a specific number of channels, specific values of relevant parameters related to the battery cell detection system can be obtained (i.e., specific values of parameters related to the inherent characteristics of the battery cell detection system and specific values of electrical parameters that the battery cell detection system may involve during use), and based on these specific values, the possible energy loss information of the battery cell detection system with the specific number of channels can be determined.

[0055] The above embodiments can enable a relatively high energy utilization rate of the battery cell detection system with the determined number of channels to save electrical energy in the testing process. In addition, since the production and storage of battery cells have high requirements for temperature, the increase in the energy utilization rate of the configured battery cell detection system can also reduce the electrical energy loss converted into heat and dissipated into the air, thereby reducing the defective rate of battery cells.

[0056] According to some embodiments of the present application, the battery cell detection system includes a connection line for connecting to a power supply device, and one end of multiple channels is connected to the connection line.

[0057] Although a battery cell detection system with an internal circulation (each channel is connected to each other through a connection line and connected to a DC bus via the connection line, and when the battery cell connected to the channel discharges, electrical energy can be transmitted to other channels in the internal circulation line that need to be charged) can reduce electrical energy loss, but as the internal circulation line (i.e., the number of channels) increases, the line resistance of the connection line will also increase.

[0058] The above embodiments can optimize the number of channels of a battery cell detection system with an internal circulation to improve the energy utilization rate of the battery cell detection system.

[0059] According to some embodiments of the present application, obtaining the energy loss information of a battery cell detection system with a candidate number of channels based on the values of relevant parameters for each candidate number of channels includes: inputting the values of relevant parameters for each candidate number of channels into a mathematical optimization model to obtain the energy loss information of the battery cell detection system with the candidate number of channels.

[0060] In this article, the mathematical optimization model refers to a model that runs on a computer. For example, it can be an optimizer, etc.

[0061] The above uses a mathematical optimization model running on a computer to obtain the energy loss information corresponding to each candidate pipe number, thereby improving the efficiency, accuracy, and reliability of the calculation.

[0062] According to some embodiments of the present application, the mathematical optimization model is constructed based on an objective function for calculating the energy loss information of the battery cell detection system.

[0063] Among them, the energy loss information may include an energy loss rate, etc. The energy loss rate is, for example, equal to the ratio of the lost energy to the supplied energy.

[0064] The above-mentioned mathematical optimization model established based on the objective function of the energy loss information of the battery cell detection system can improve the accuracy and reliability of the calculation of the energy loss information of the battery cell detection system.

[0065] According to some embodiments of the present application, when the battery cell detection system includes a connection line for connecting between a DC bus and multiple channels, the objective function is defined based at least on the channel loss energy, the connection line loss energy, and the supplied energy of the battery cell detection system.

[0066] Among them, combined with Figure 1 , the loss energy of the multiple channels 160 can be set as the energy consumed after the electric energy passes through the multiple channels 160. The loss energy of the DC bus 140 can be set as the energy consumed by the electric energy flowing back from the multiple channels 160 at the DC bus 140. The loss energy of the connection line 150 is set as the energy consumed by the electric energy flowing back from the multiple channels 160 at the connection line 150. The supplied energy of the battery cell detection system 1000 can be the supplied energy at the power supply end 110, or the sum of the supplied energies supplied to each battery cell 170 (for example, determined based on the test voltage and test current of the battery cell).

[0067] On the one hand, the above-mentioned implementation mode comprehensively considers each loss energy related to the number of channels in the battery cell detection system, so that the number of channels determined based on the energy loss information is more accurate and reliable. On the other hand, the energy loss rate is used as the energy loss information, so as to avoid the influence of different supplied energies, and improve the accuracy and reliability of the mathematical optimization model.

[0068] According to some embodiments of the present application, the energy loss information is an energy loss rate, and the objective function is the ratio of the sum of the channel loss energy and the connection line loss energy to the supplied energy of the battery cell detection system.

[0069] That is to say, the energy loss of the battery cell detection system with different numbers of channels can be measured by the energy loss rate, and the influence of time and supplied energy in the actual scenario can be avoided.

[0070] On the one hand, the above-mentioned implementation mode comprehensively considers each loss energy related to the number of channels in the battery cell detection system, so that the number of channels determined based on the energy loss information is more accurate and reliable. On the other hand, the energy loss rate is used as the energy loss information, so as to avoid the influence of different supplied energies, and improve the accuracy and reliability of the mathematical optimization model.

[0071] According to some embodiments of the present application, for a battery cell detection system having a number of candidate channels, the supply energy of the battery cell detection system includes either the sum of the supply energies supplied by each channel to the battery cell connected to the channel or the energy supplied by the power supply device to the battery cell detection system.

[0072] Combined with Figure 1 , the supply energy of the battery cell detection system 1000 can be equal to the energy supplied by the power supply device to the power supply end 110, that is, equal to the product of the supply voltage and the supply current supplied by the power supply device to the power supply end 110. Herein, "supply energy" and "loss energy" can be measured by "supply power" and "loss power".

[0073] The above embodiments can improve the accuracy of calculating the supply energy of the battery cell detection system, thereby improving the accuracy and reliability of the mathematical optimization model.

[0074] According to some embodiments of the present application, the supply energy supplied by each channel to the battery cell connected to the channel is determined according to the supply energy defined by the test voltage of the battery cell connected to the channel and the test current of the channel.

[0075] Combined with Figure 3 , when testing the battery cell 170, the supply energy supplied by each channel 160 to the battery cell 170 connected to the channel 160 can be equal to the product of the test voltage and the test current supplied to the battery cell 170. Among them, the test voltage can be the external voltage of the battery cell (for example, determined by the model of the battery cell). In actual use, the battery cell detection system usually uses different test currents to test the performance of the battery cell. Therefore, the expected probability of the test current is introduced when calculating the supply energy of the battery cell of each channel to obtain the average value after comprehensively considering each test current. Specifically, the supply energy of each channel can be as follows:

[0076] E si = E(Ui × |Ii|),

[0077] where, E si is the supply energy supplied by the i-th channel to the battery cell connected to the channel, i takes values from 1 to n, n is the number of channels, and Ui is the test voltage of the battery cell connected to the i-th channel. Herein, E(x) represents a function for calculating the expectation (for example, a function of the average value), which is calculated based on each value of x and its expected probability. In the above equation, x = Ui × |Ii|. E(Ui × |Ii|) calculates the expected value in the case of summarizing the testing of the battery cell of the i-th channel using various test currents. The supply energy of the battery cells connected to multiple channels is equal to E s = E(U1 × |I1p| + U2 × |I2p| + … + Un × |Inp|).

[0078] Specifically, when detecting the battery cell using m test currents, That is to say, Ii can be Iip, where p can be any value from 1 to m. Iip is each test current of the i-th channel, and qip is the expected probability of the test current Iip. The expected probability refers to the probability of each test current appearing during the test, that is, the expected probability. Among them,

[0079] In Figure 3 the battery cell detection system 1000, the value of Ui can be U1, U2, U3, U4, U5. I1 can be equal to I1p, where p can be any value from 1 to m. The characteristics of I2, I3, I4, I5 are similar to those of I1 and will not be elaborated here. The value of Iip can be I1p, I2p, I3p, I4p, I5p, and the value of qip can be q1p, q2p, q3p, q4p, q5p. Among them, the number m of at least one test current can be 6. Assuming that when p = 0, Ii0 = 0, it means the channel is in a standby state. In addition, at least one test current can include test currents with different absolute values of current and / or test currents with the same absolute value of current but different signs. Among them, the test current with a positive sign can indicate that the channel is in a charging state, that is, charging the connected battery cell, and the test current with a negative sign can indicate that the channel is in a discharging state, that is, the connected battery is discharging. It should be understood here that the test current with a positive sign can also indicate that the channel is in a discharging state, and the test current with a negative sign can indicate that the channel is in a charging state. It should be noted here that Figure 3 the arrow direction shown below I1p, I2p, I3p, I4p, I5p in

[0080] The above embodiments can more accurately restore the actual use scenario of the battery cell detection system to improve the accuracy of the supply energy calculation of the battery cell detection system, thereby improving the accuracy and reliability of the mathematical optimization model.

[0081] According to some embodiments of the present application, the channel loss energy is the energy consumed after the electric energy passes through the channels of the candidate channel quantity, and is determined according to the secondary loss energy equation defined by the test voltage of the battery cell connected to the channel, the test current of the channel, and the loss coefficient of the channel.

[0082] Among them, the loss coefficients of each channel can be the same or different, which are mainly determined by the material, length, and thickness of the channel, and can be measured or theoretically calculated. In Figure 3In the example, the channel loss energy is the energy consumed by the electric energy after passing through multiple channels 160. Among them, the electric energy can include the charging electric energy supplied to the battery cell and the electric energy discharged by the battery cell (hereinafter referred to as the test electric energy), which can be equal to the product of the test voltage and the test current of the battery cell (the direction of the current reflects whether it is charging electric energy or discharging electric energy). The channel loss energy can be equal to the test electric energy of the battery cell 170 multiplied by the loss coefficient So of the corresponding channel 160. In some examples, the test electric energy of each battery cell 170 can be calculated based on the test voltages U1, U2, U3, U4, U5 of the battery cells 170 connected to each channel 160, the test currents I1p, I2p, I3p, I4p, I5p of each channel 160, and the expected probabilities q1p, q2p, q3p, q4p, q5p of each test current. The expected probability refers to the probability of each test current occurring during the test, where, The characteristics of q3p, q4p, q5p are the same as those of q1p, q2p, and will not be elaborated here. In some other examples, when the expected probabilities of each test current are the same, the test electric energy of each battery cell can be directly calculated based on the test voltages U1, U2, U3, U4, U5 of the battery cells 170 connected to each channel 160 and the test currents I1p, I2p, I3p, I4p, I5p of each channel 160.

[0083] In this article, as Figure 3 shown, the channel loss (i.e., the loss at the channel) can also be called the secondary loss, while the DC bus loss (i.e., the loss at the DC bus) can also be called the primary loss.

[0084] The above embodiments can more accurately restore the actual use scenario of the battery cell detection system, so as to improve the accuracy of calculating the loss energy of the channels of the battery cell detection system, thereby improving the accuracy and reliability of the mathematical optimization model.

[0085] According to some embodiments of the present application, the secondary loss energy equation is as follows: E2 = E(S1×U1×|I1| + S2×U2×|I2| + … + Sn×Un×|In|), where E2 is the channel loss energy, n is the number of candidate channels, U1, U2, ..., Un are the test voltages of the battery cells connected to each of the n channels, I1, I2, ..., In are the test currents of each of the n channels, and S1, S2, ..., Sn are the loss coefficients of each of the n channels.

[0086] In this article, E(x) represents a function for calculating the expectation (for example, a function of the average value), and can be calculated based on each value of x and its expected probability. In the above equation, x = S1×U1×|I1| + S2×U2×|I2| + … + Sn×Un×|In|. When detecting the battery cell using m test currents, for example, For example, in the Figure 3 cell detection system, n = 5, m = 6. The test voltages at the cells 170 of the 5 channels 160 are U1, U2, U3, U4, U5 respectively, and the test currents at the cells 170 of the 5 channels 160 are I1p, I2p, I3p, I4p, I5p respectively. The corresponding expected probabilities are q1p, q2p, q3p, q4p, q5p. The loss coefficients of the 5 channels are the same and are all So. At this time, the secondary loss energy of the cell detection system 1000 can be equal to

[0087] In the above embodiments, the accuracy of calculating the loss energy of the channels of the cell detection system can be improved, so that the accuracy and reliability of the mathematical optimization model can be improved.

[0088] According to some embodiments of the present application, the cell detection system further includes a DC bus connected between the power supply device and the multiple channels. The objective function is defined based on the channel loss energy, the DC bus loss energy, the connection line loss energy, and the supply energy of the cell detection system. The DC bus loss energy is the energy consumed at the DC bus by the electric energy flowing back from the channels of the candidate channel quantity, and is determined by a first-level loss energy equation defined according to the voltage at the DC bus, the test voltage of the cell connected to the channel, the test current of the channel, and the loss coefficient of the DC bus.

[0089] Combined with Figure 3 , the DC bus loss energy is, in the case of partial channel discharge, the energy consumed at the DC bus 140 by the electric energy flowing back from the multiple channels 160 (that is, the remaining electric energy after subtracting the electric energy supplied to the channels that need to be charged in the internal circulation line from the discharge electric energy of the partial channels), and it depends on the loss coefficient at the DC bus 140 of the electric energy flowing back from the multiple channels 160 in the case of partial channel discharge. For example, the electric energy flowing back from the multiple channels 160 can be calculated based on the test voltages U1, U2, U3, U4, U5 of the cells 170 connected to each channel 160, at least one test current I1p, I2p, I3p, I4p, I5p of each channel 160, and the loss coefficient So of the multiple channels. At this time, the currents I1p″, I2p″, I3p″, I4p″, I5p″ flowing back from the multiple channels 160 at the DC bus can be calculated, for example, by dividing the electric energy passing through the corresponding channel 160 by the voltage at the DC bus. Then, the DC bus loss energy can be calculated based on the expected values of the respective test currents, the currents flowing back from the multiple channels, and the voltage of the DC bus. In this article, the voltage at the DC bus 140 can refer to the voltage at the side of the power converter 130 connected to the DC bus 140, such as Figure 1As shown. In some other examples, when the expected probabilities of the respective test currents are the same, the DC bus loss energy can be directly calculated based on the test voltages U1, U2, U3, U4, U5 of the battery cells 170 connected to the respective channels 160, the test currents I1p, I2p, I3p, I4p, I5p of the respective channels 160, the voltage at the DC bus, and the loss coefficient, etc.

[0090] At this time, the objective function can be equal to the ratio of the sum of the channel loss energy, the DC bus loss energy, and the connection line loss energy to the supply energy of the battery cell detection system.

[0091] In the above embodiments, the accuracy of calculating the loss energy of the DC bus of the battery cell detection system can be improved, thereby improving the accuracy and reliability of the mathematical optimization model.

[0092] According to some embodiments of the present application, the primary loss energy equation is as follows: E1 = E(S×U×|I1″ + I2″ + … + In″|), where E1 is the loss energy of the DC bus, n is the number of channels, U is the voltage at the DC bus, I1″ = (1 - S1)xU1×I1 / U, I2″ = (1 - S2)×U2×I2 / U, ……, In″ = (1 - Sn)×Un×In / U, S is the loss coefficient of the DC bus, U1, U2,..., Un are the test voltages of the battery cells connected to the respective channels among the n channels, I1, I2,..., In are the test currents of the respective channels among the n channels, S1, S2,..., Sn are the loss coefficients of the respective channels among the n channels, and S is the loss coefficient of the DC bus.

[0093] In this article, E(x) represents a function for calculating the expectation (for example, a function of the average value), which is calculated based on the respective values of x and their expected probabilities. In the above equation, x = S×U×|I1″ + I2″ + … + In″|. As described above, I1″, I2″,..., In″ are calculated respectively based on I1, I2,..., In. Therefore, the expectation of the sum of the currents flowing back through the respective channels can be calculated based on the test current and the corresponding expected probability of the test current, and thus the expectation of the energy loss after the currents flowing back through the respective channels converge to the DC bus can be calculated.

[0094] In Figure 3In the battery cell detection system, S is the loss coefficient of the DC bus 140, which is determined by the material, length, thickness, etc. of the bus, and can be measured or theoretically calculated. U is the voltage at the DC bus 140. At this time, the primary loss energy of the battery cell detection system 1000 can be equal to E1 = E(S×U×|I1″ + I2″ + I3″ + I4″ + I5″|). Among them, I1″ can be equal to I1p″, where p is any value from 1 to m, I1p″ = (1 - So)×U1×I1p / U. The characteristics of I2p″, I3p″, I4p″, I5p″ are similar to those of I1p″ and will not be elaborated here. Since the test current includes 0 (the channel is in the standby state), positive values (the channel is in the charging state), and negative values (the channel is in the discharging state), etc., the above primary loss energy can be used to calculate the primary loss energy of the battery cell detection system in various specific scenarios (for example, in a battery cell detection system with an internal circulation, various scenarios such as when the channels are completely in the standby state, some channels are in the charging state, and some channels are in the discharging state). This is because the current flowing into the DC bus in various specific scenarios can be calculated by adding the currents with positive and negative signs.

[0095] In the above embodiments, the accuracy of calculating the loss energy of the DC bus of the battery cell detection system can be improved, thereby improving the accuracy and reliability of the mathematical optimization model.

[0096] In some embodiments, the battery cell detection system further includes a DC bus connected between the power supply device and multiple channels. The connection line loss energy is the energy consumed by the electric energy flowing back from the channels with the number of candidate channels at the connection line, and is determined according to the resistance at the connection line, the test voltage of the battery cells connected to the channels, the test current of the channels, the loss coefficient of the channels, and the resistance loss energy defined by the voltage at the DC bus.

[0097] Combined with Figure 3, the energy loss of the connection line is set to the energy consumed at the connection line 150 by the electric energy flowing back from multiple channels 160 (i.e., the remaining electric energy after subtracting the electric energy supplied to the channels that need to be charged in the internal circulation line from the discharge electric energy of some channels). Since the connection line has a line resistance. Similarly, the electric energy flowing back from multiple channels 160 can be calculated based on the test voltages U1, U2, U3, U4, U5 of the battery cells 170 connected to each channel 160, at least one test current I1p, I2p, I3p, I4p, I5p of each channel 160, the expected probability q1p, q2p, q3p, q4p, q5p of each test current, and the loss coefficient So of each channel. At this time, the currents I1p″, I2p″, I3p″, I4p″, I5p″ flowing back from multiple channels 160 at the DC bus can be calculated by dividing the electric energy passing through the corresponding channel 160 by the voltage at the DC bus. In some other examples, when the expected probabilities of each test current are the same, the energy loss of the connection line can be directly calculated based on the test voltages U1, U2, U3, U4, U5 of the battery cells 170 connected to each channel 160, the test currents I1p, I2p, I3p, I4p, I5p of each channel 160, and the loss coefficient of each channel.

[0098] In the above embodiments, the accuracy of calculating the energy loss of the connection line of the battery cell detection system can be improved, thereby improving the accuracy and reliability of the mathematical optimization model.

[0099] In some embodiments, the DC bus is connected at a preset position in the connection line. The connection line includes sub-connection lines between adjacent channels among multiple channels. The energy loss of the connection line is equal to the sum of the energy losses of each sub-connection line. And the energy loss of each sub-connection line is determined according to the sub-resistance loss energy defined by the resistance of the sub-connection line, the test voltage of the battery cell connected to the channel, the test current of each of the two adjacent channels, the loss coefficient of the channel far from the DC bus among the two adjacent channels, and the voltage at the DC bus. The sub-resistance loss energy is as follows: Wherein, E3 is the energy loss of the sub-connection line, Ui is the test voltage of the battery cell connected to the channel far from the DC bus among the two adjacent channels, Ii is the test current of the channel far from the DC bus among the two adjacent channels, I(i - 1) is the current on the sub-connection line adjacent to the side of the sub-connection line far from the DC bus, U is the voltage at the DC bus, and R is the resistance of the sub-connection line.

[0100] In this article, E(x) represents a function for calculating the expectation (e.g., a function of the average value), which is calculated based on each value of x and its expected probability. In the above equation, For example, According to Kirchhoff's first law, the current at a certain sub-connection line should be equal to the sum of the current flowing back from the channels adjacent to and away from the DC bus of this sub-connection line and the current at the previous sub-connection line of this sub-connection line. Specifically, for example, in Figure 3 the battery cell detection system of the DC bus 140 is connected to the intermediate position of the connection line 150 and is opposite to the intermediate channel. There are 2 sub-connection lines on each side of the DC bus 140. At this time, for example, taking the first sub-connection line as an example, the current at this sub-connection line can be equal to I1p″ + 0, and its power loss can be equal to while the current at the second sub-connection line can be equal to I1p″ + I2p″, and its power loss can be equal to The currents and power losses at the third and fourth sub-connection lines are similar to those at the first and second sub-connection lines, and will not be elaborated here. At this time, the power loss of the connection line can be equal to

[0101] It should be understood here that although the wire groups of each sub-connection line in the above example are set to be the same, the wire resistances of each sub-connection line can also be set to be different, and the present disclosure is not limited thereto.

[0102] According to some embodiments of the present application, when the battery cell detection system further includes a DC bus connected between a power supply device and multiple channels and a power supply terminal for connecting the power supply device and connected to the DC bus, a main control switch is provided between the power supply terminal and the power supply device, and is connected by a bus between the main control switch and the power supply device. The constraint conditions of the objective function include at least one of the following: the ratio of the supply energy supplied by the channels with the candidate channel number to the battery cells connected to the channels to the supply voltage at the power supply terminal is less than or equal to the main control current threshold, and the main control current threshold is related to the rated current of the main control switch; the ratio of the supply energy supplied by the channels with the candidate channel number to the battery cells connected to the channels to the supply voltage at the power supply terminal is less than or equal to the bus current threshold, and the bus current threshold is related to the maximum allowable current of the bus; the sum of the currents flowing back from each channel among the channels with the candidate channel number to the DC bus is less than or equal to the maximum allowable current of the DC bus; and the candidate channel number is less than or equal to the maximum allowable channel number of the battery cell detection system.

[0103] Among them, the supply energy E supplied by the channel to the battery cell connected to the channel s = E(U1×|I1p| + U2×|I2p| + … + Un×|Inp|). In some examples, considering that multiple channels usually do not perform tests simultaneously, a preset coefficient r is introduced, and this preset coefficient can be set according to experience. At this time, the supply energy E supplied by the channel to the battery cell connected to the channels = E(U1×|I1p| + U2×|I2p| + … + Un×|Inp|) × r. The sum of the currents flowing back to the DC bus from each channel, E(|I1p″ + I2p″, … + I5p″|), is less than or equal to the maximum allowable current of the DC bus.

[0104] Among them, the maximum allowable number of channels is related to the spatial size for arranging the battery cell detection system, the weight borne by the tray for placing the battery cell detection system, etc.

[0105] The above constraints can prevent the specific values of the relevant parameters input into the mathematical optimization model from not meeting the usage scenarios of the battery cell detection system in actual situations, so that the mathematical optimization model can more realistically restore the actual situation of the battery cell detection system, thereby improving the accuracy and reliability of the mathematical optimization model.

[0106] It should be understood here that the objective function of the above-described mathematical optimization model only involves first-level losses and second-level losses. However, in the case where the battery cell detection system includes third-level circuits, fourth-level circuits, etc. connected between the power supply end and the DC bus and / or other circuits are connected to the battery cell detection system, the mathematical optimization model based on the above objective function can also be applicable, and at this time, the third-level losses of the third-level circuit, the fourth-level losses of the fourth-level circuit, and the losses of other circuits can be determined with reference to the above second-level losses, for example.

[0107] In some embodiments, determining the number of multiple channels based at least on the energy loss information for each candidate number of channels and multiple candidate numbers of channels includes: for each number of channels, based on the numerical values of the relevant parameters, obtaining the energy loss information of the battery cell detection system for the candidate number of channels through experimental verification; based on the energy loss of the battery cell detection system for each candidate number of channels, as well as multiple candidate numbers of channels and the verification results, determining the number of multiple channels.

[0108] After calculating the theoretical energy loss information of the battery cell detection system with each number of channels through the mathematical optimization model, further verify the correctness of the above calculation through actual experiments, so as to ensure that the configured number of channels is optimal and more accurate and reliable.

[0109] The above embodiments further verify the accuracy of the calculated energy loss information through experiments, so that the configured number of channels is more accurate and reliable.

[0110] In some embodiments, through the above configuration method 2000, for example, the relationship diagram of the energy loss rate and the number of channels as shown in Figure 4 can be obtained. At this time, the number of channels j corresponding to the point P with the lowest energy loss rate can be used as the configured number of channels.

[0111] As shown in Figure 5As shown, some embodiments of the present application provide a configuration device 5000 for a cell detection system. The cell detection system includes a DC bus and multiple channels. One end of each channel is used to connect to a power supply device and the other end is used to connect to a cell. The configuration device 5000 includes: a configuration module configured to configure the multiple channels based on a plurality of candidate channel numbers. The configuration module includes: an acquisition module 501, an obtaining module 502, and a determination module 503. The acquisition module 501 is configured to, for each candidate channel number, acquire the numerical value of a relevant parameter related to the energy loss of the cell detection system having the candidate channel number. The obtaining module 502 is configured to obtain the energy loss information of the cell detection system having the candidate channel number based on the numerical value of the relevant parameter for each candidate channel number. The determination module 503 is configured to determine the number of the multiple channels based at least on the energy loss information for each candidate channel number and the plurality of candidate channel numbers.

[0112] It should be understood that Figure 5 each module of the device 5000 shown in Figure 2 can correspond to each step in the method 2000 described with reference to

[0113] Therefore, the operations, features, and advantages described above for the method 2000 also apply to the device 5000 and the modules included therein. For the sake of brevity, certain operations, features, and advantages are not described herein again.

[0114] As Figure 1 shown, some embodiments of the present application provide a cell detection system. The cell detection system includes multiple channels, and the number of channels of the multiple channels is determined by executing the configuration method 2000.

[0115] The above embodiments can enable the cell detection system with the determined number of channels to have a relatively high energy utilization rate, so as to save electric energy in the testing process. In addition, since the production and storage of cells have high requirements for temperature, the increase in the energy utilization rate of the configured cell detection system can also reduce the electric energy loss from being dissipated into the air as heat, thereby reducing the defective rate of cells.

[0116] An embodiment of the present application provides an electronic device, including at least one processor and a memory communicatively connected to the at least one processor. The memory stores instructions executable by the at least one processor. When the instructions are executed by the at least one processor, the at least one processor is enabled to execute the configuration method 2000.

[0117] An embodiment of the present application provides a computer-readable storage medium storing computer instructions, where the computer instructions are configured to cause a computer to execute the configuration method 2000.

[0118] An embodiment of the present application provides a computer program product, including a computer program, where the computer program implements the configuration method 2000 when executed by a processor.

[0119] As Figure 6 shown, the configuration method 6000 provided by some embodiments of the present application may include the following steps S601 to S604.

[0120] In step S601, for each candidate channel number, obtain the numerical values of the relevant parameters related to the energy loss of the charger / discharger with the candidate channel number. The relevant parameters include the test voltage of the battery cells connected to the channels, at least one test current of the channels and the expected probability of each test current, the loss coefficient of the channels, the loss coefficient of the DC bus, the resistance at the connection line, and the voltage at the DC bus.

[0121] In step S602, input the numerical values of the relevant parameters for each candidate channel number into a mathematical optimization model to obtain the energy loss rate of the charger / discharger with the candidate channel number. The mathematical optimization model is constructed based on an objective function for calculating the energy loss rate of the charger / discharger. The objective function is equal to the ratio of the sum of the channel loss energy, the DC bus loss energy, and the connection line loss energy to the supply energy of the charger / discharger. The channel loss energy is determined according to the secondary loss energy, and the secondary loss energy is as follows: E2 = E(S1×U1×|I1| + S2×U2×|I2| + … + Sn×Un×|In|). The DC bus loss energy is determined according to the primary loss energy, and the primary loss energy is as follows: E1 = E(S×U×|I1″ + I2″ + … + In″|). The connection line includes the sub-connection lines between adjacent channels among the multiple channels. The connection line loss energy is equal to the sum of the loss energies of the sub-connection lines between adjacent channels, and the loss energy of the sub-connection line is as follows:

[0122] In step S603, for each candidate channel number, based on the numerical values of the relevant parameters for the candidate channel number, experimentally verify the energy loss rate of the charger / discharger with the candidate channel number obtained; and

[0123] In step S604, based on the energy loss rate for each candidate number of channels, the multiple candidate numbers of channels, and the result of verification, determine the number of channels.

[0124] Each step in the above method 6000 has the same features as the corresponding step in the configuration method 2000. For the sake of brevity, they will not be elaborated here.

[0125] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should all be covered within the scope of the claims and the description of the present application. In particular, as long as there is no structural conflict, the technical features mentioned in each embodiment can be combined in any way. The present application is not limited to the specific embodiments disclosed in the text, but includes all technical solutions that fall within the scope of the claims.

Claims

1. A configuration method for a battery cell detection system, the battery cell detection system including a plurality of channels, one end of each of the channels being configured to connect to a power supply device and the other end being configured to connect to a battery cell, characterized in that, The configuration method includes configuring multiple channels based on multiple candidate channel numbers. Among them, configuring multiple channels based on multiple candidate channel numbers includes: For each of the candidate channel numbers, obtaining the numerical values of relevant parameters related to the energy loss of the battery cell detection system having the candidate channel number; Based on the numerical values of the relevant parameters for each of the candidate channel numbers, obtaining the energy loss information of the battery cell detection system having the candidate channel number; and Determining the number of the multiple channels based at least on the energy loss information for each of the candidate channel numbers and the multiple candidate channel numbers.

2. The configuration method according to claim 1, wherein, The battery cell detection system includes a connection line for connecting to the power supply device, and one end of the multiple channels is connected to the connection line.

3. The configuration method according to claim 1, wherein Based on the numerical values of the relevant parameters for each of the candidate channel numbers, obtaining the energy loss information of the battery cell detection system having the candidate channel number includes: Inputting the numerical values of the relevant parameters for each of the candidate channel numbers into a mathematical optimization model to obtain the energy loss information of the battery cell detection system having the candidate channel number.

4. The configuration method according to claim 3, wherein, The mathematical optimization model is constructed based on an objective function for calculating the energy loss information of the battery cell detection system.

5. The configuration method according to claim 4, wherein, When the battery cell detection system includes a connection line for connecting between the power supply device and the multiple channels, the objective function is defined based at least on the channel loss energy, the connection line loss energy, and the supply energy of the battery cell detection system.

6. The configuration method according to claim 5, wherein, The energy loss information includes an energy loss rate, and the objective function is the ratio of the sum of the channel loss energy and the connection line loss energy to the supply energy of the battery cell detection system.

7. The configuration method according to claim 6, wherein For the battery cell detection system having the candidate channel number, the supply energy of the battery cell detection system includes either the sum of the supply energies supplied by each channel to the battery cell connected to the channel or the energy supplied by the power supply device to the battery cell detection system.

8. The configuration method according to claim 7, wherein, The supply energy supplied by each channel to the battery cell connected to the channel is determined according to the supply energy defined by the test voltage of the battery cell connected to the channel and the test current of the channel.

9. The configuration method according to claim 5, wherein, The channel loss energy is the energy consumed after the electric energy passes through the channels of the candidate channel number, and is determined by a secondary loss energy equation defined according to the test voltage of the battery cell connected to the channel, the test current of the channel, and the loss coefficient of the channel.

10. The configuration method according to claim 9, wherein, The secondary loss energy equation is as follows: E2 = E(S1×U1×|I1| + S2×U2×|I2| + … + Sn×Un×|In|) Wherein, E2 is the channel loss energy, n is the candidate channel number, U1, U2, …, Un are the test voltages of the battery cells connected to the respective channels among the n channels, I1, I2, …, In are the test currents of the respective channels among the n channels, and S1, S2, …, Sn are the loss coefficients of the respective channels among the n channels.

11. The configuration method according to claim 4, wherein, The battery cell detection system further includes a DC bus connected between the power supply device and the multiple channels. The objective function is defined based on the channel loss energy, the DC bus loss energy, the connection line loss energy, and the supply energy of the battery cell detection system. The DC bus loss energy is the energy consumed at the DC bus by the electric energy flowing back from the channels with the number of candidate channels, and is determined by a first-level loss energy equation defined according to the voltage at the DC bus, the test voltage of the battery cell connected to the channel, the test current of the channel, and the loss coefficient of the DC bus.

12. The configuration method according to claim 11, wherein, The first-level loss energy equation is as follows: E1 = E(S × U × |I1" + I2" + … + In"|) Wherein, E1 is the loss energy of the DC bus, E represents the function for calculating the expectation, n is the number of candidate channels, U is the voltage at the DC bus, I1" = (1 - S1) × U1 × I1 / U, I2" = (1 - S2) × U2 × I2 / U, ……, In" = (1 - Sn) × Un × In / U, S is the loss coefficient of the DC bus, U1, U2, …, Un are the test voltages of the battery cells connected to each of the n channels, I1, I2, …, In are the test currents of each of the n channels, and S1, S2, …, Sn are the loss coefficients of each of the n channels.

13. The configuration method according to claim 5, wherein, The battery cell detection system further includes a DC bus connected between the power supply device and the multiple channels. The connection line loss energy is the energy consumed at the connection line by the electric energy flowing back from the channels with the number of candidate channels, and is determined by a resistance loss energy equation defined according to the resistance at the connection line, the test voltage of the battery cell connected to the channel, the test current of the channel, the loss coefficient of the channel, and the voltage at the DC bus.

14. The configuration method according to claim 13, wherein, The DC bus is connected at a preset position in the connection line. The connection line includes sub-connection lines between adjacent channels among the multiple channels. The connection line loss energy is equal to the sum of the loss energies of each sub-connection line. And each sub-connection line loss energy is determined by a sub-resistance loss energy equation defined according to the resistance of the sub-connection line, the test voltage of the battery cell connected to the channel, the test current of each of the two adjacent channels, the loss coefficient of the channel farther from the DC bus among the two adjacent channels, and the voltage at the DC bus. The sub-resistance loss energy equation is as follows: Wherein, E3 is the loss energy of the sub-connection line, Ui is the test voltage of the battery cell connected to the channel farther from the DC bus among the two adjacent channels, Ii and Si are respectively the test current and the loss coefficient of the channel farther from the DC bus among the two adjacent channels, I(i - 1) is the current on the sub-connection line adjacent to the side of the sub-connection line farther from the DC bus, U is the voltage at the DC bus, and R is the resistance of the sub-connection line.

15. The configuration method according to any one of claims 5 to 14, wherein When the battery cell detection system further includes a DC bus connected between the power supply device and the multiple channels, and a power supply terminal for connecting the power supply device and connected to the DC bus, a main control switch is provided between the power supply terminal and the power supply device, and is connected through a bus between the main control switch and the power supply device. The constraint conditions of the objective function include at least one of the following: The ratio of the supply energy supplied by the channels with the candidate channel number to the battery cells connected to the channels to the supply voltage at the power supply terminal is less than or equal to the main control current threshold, and the main control current threshold is related to the rated current of the main control switch; The ratio of the supply energy supplied by the channels with the candidate channel number to the battery cells connected to the channels to the supply voltage at the power supply terminal is less than or equal to the bus current threshold, and the bus current threshold is related to the maximum allowable current of the bus; The sum of the currents flowing back to the DC bus from each of the channels with the candidate channel number is less than or equal to the maximum allowable current of the DC bus; And The candidate channel number is less than or equal to the maximum allowable channel number of the battery cell detection system.

16. The configuration method according to any one of claims 1 to 14, wherein Determining the number of the multiple channels based at least on the energy loss information for each of the candidate channel numbers and the multiple candidate channel numbers includes: For each of the candidate channel numbers, based on the numerical values of the relevant parameters for the candidate channel number, experimentally verify the energy loss information of the battery cell detection system with the candidate channel number; Based on the energy loss information for each of the candidate channel numbers, the multiple candidate channel numbers, and the results of the verification, determine the number of the multiple channels.

17. A configuration device for a battery cell detection system, the battery cell detection system including a plurality of channels, one end of each of the channels being configured to be connected to a power supply device and the other end being configured to be connected to a battery cell, characterized in that, The configuration device includes a configuration module, and the configuration module is configured to configure multiple channels based on multiple candidate channel numbers, where the configuration module includes: An acquisition module configured to, for each of the candidate channel numbers, acquire the numerical values of the relevant parameters related to the energy loss of the battery cell detection system with the candidate channel number; An obtaining module configured to obtain the energy loss information of the battery cell detection system with the candidate channel number based on the numerical values of the relevant parameters for each of the candidate channel numbers; and A determination module configured to determine the number of the multiple channels based at least on the energy loss information for each of the candidate channel numbers and the multiple candidate channel numbers.

18. A battery cell detection system, where the battery cell detection system includes multiple channels, and the number of the multiple channels is determined by executing the configuration method according to any one of claims 1 to 16.

19. An electronic device, including at least one processor and a memory communicatively connected to the at least one processor, where The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the configuration method according to any one of claims 1 to 16.

20. A computer-readable storage medium storing computer instructions, wherein, The computer instructions are configured to cause a computer to execute the configuration method according to any one of claims 1 to 16.

21. A computer program product, comprising a computer program, wherein, The computer program, when executed by a processor, implements the configuration method according to any one of claims 1 to 16.

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