Power battery charging method, device, equipment, storage medium and vehicle

Abstract

The present application relates to a power battery charging method, device, equipment, storage medium and vehicle, and relates to the technical field of automobiles. Applied to a vehicle, the vehicle is provided with a power battery, and the method includes: obtaining the state of charge (SOC) of the power battery at the current moment; determining a target charging path corresponding to the SOC at the current moment based on a preset charging reference relationship; determining a predicted temperature of the power battery at the next moment after the current moment based on the temperature and charging current of the power battery at the current moment; determining a target charging current corresponding to the next moment based on the target charging path and the predicted temperature of the power battery at the next moment, and charging the power battery at the next moment based on the target charging current. Thus, it is possible to solve the technical problem that it is necessary to replace the battery cells of the power battery with battery cells with a larger charging rate to achieve rapid charging of the power battery by increasing the charging rate. However, replacing the battery cells will result in a relatively high cost.

Description

Technical Field

[0001] The present invention relates to the field of automobile technology, and in particular to a power battery charging method, device, equipment, storage medium and vehicle. Background Art

[0002] With the development of new energy vehicles, charging issues have become the primary problem that troubles users. Currently, during the charging process, based on the preset fast charging strategy table, the charging rate can be increased to adjust the charging current, shorten the charging time, and achieve fast charging of the power battery.

[0003] However, when the charging rate of the power battery cell is low, it is necessary to replace the power battery cell with a cell with a higher charging rate to achieve fast charging of the power battery by adjusting the charging current by increasing the charging rate. However, replacing the cell will result in high costs. Therefore, how to fast charge the power battery without replacing the power battery cell with a lower charging rate is an urgent problem to be solved. Summary of the invention

[0004] The purpose of the present invention is to provide a power battery charging method, device, equipment, storage medium and vehicle to solve the problem that when the charging rate of the power battery cell is low, the power battery cell needs to be replaced with a cell with a higher charging rate to achieve rapid charging of the power battery by adjusting the charging current by increasing the charging rate, but the replacement of the cell will lead to a high cost. The technical solution of this application is as follows:

[0005] According to a first aspect of the present application, a power battery charging method is provided, which is applied to a vehicle, wherein the vehicle is provided with a power battery; the method comprises: obtaining a state of charge (SOC) of the power battery at a current moment; determining a target charging path corresponding to the state of charge (SOC) at the current moment based on a preset charging reference relationship; the preset charging reference relationship comprises a maximum allowable charging current in different temperature intervals corresponding to each of a plurality of charging intervals; the target charging path comprises a maximum allowable charging current corresponding to each of a plurality of charging intervals, and a target temperature interval corresponding to the maximum allowable charging current; determining a predicted temperature of the power battery at a next moment after the current moment based on the temperature and charging current of the power battery at the current moment; determining a target charging current corresponding to the next moment based on the target charging path and the predicted temperature of the power battery at the next moment, and charging the power battery based on the target charging current at the next moment.

[0006] According to the above technical means, the present application can be based on the target charging path corresponding to the state of charge (SOC) of the power battery at the current moment. Further, based on the target charging path and the predicted temperature of the power battery at the next moment, the target charging current corresponding to the next moment is determined, so as to charge the power battery based on the target charging current at the next moment. That is, the target charging path is the maximum allowable charging current corresponding to different charge intervals of the power battery, as well as the corresponding temperature intervals. The maximum allowable charging current is equivalent to the maximum charging rate of the power battery. Then, the target charging path is equivalent to the optimal charging path of the power battery without exceeding the corresponding maximum charging rate. Combining the predicted temperature of the power battery at the next moment, the charging current of the power battery at the next moment can be predicted. Thus, it is avoided that when the charging rate of the battery cell of the power battery is small, it is necessary to replace the battery cell of the power battery with a battery cell with a larger charging rate to realize rapid charging of the power battery by adjusting the charging current by increasing the charging rate. However, replacing the battery cell will cause a large cost technical problem, and rapid charging of the power battery is realized without replacing the battery cell of the power battery with a small charging rate.

[0007] In a possible implementation manner, the method further includes: determining the state of charge (SOC) of the power battery at the next moment based on the target charging current corresponding to the next moment and the state of charge (SOC) at the current moment; determining the target temperature corresponding to the state of charge (SOC) of the power battery at the next moment based on the target charging path; determining the temperature control strategy of the power battery at the next moment based on the target temperature and the temperature of the power battery at the current moment, and adjusting the heating current of the power battery based on the temperature control strategy.

[0008] According to the above technical means, the present application can predict the temperature of the power battery at the next moment, and then determine the temperature control strategy of the power battery at the next moment, and adjust the heating current of the power battery according to the temperature control strategy of the power battery at the next moment. That is, if the predicted temperature of the power battery at the next moment is higher than the temperature at the current moment, the power battery can be heated at the next moment. If the predicted temperature of the power battery at the next moment is lower than the temperature at the current moment, the power battery can be cooled at the next moment, so as to flexibly adjust the temperature of the battery during the battery charging process and improve the battery charging efficiency.

[0009] In a possible implementation, the method further includes: determining the heat loss of the power battery during charging based on the internal resistance of the power battery and the current corresponding to the internal resistance; determining the charging current control strategy for the next moment based on the target charging path and the heat loss; determining the target charging current corresponding to the next moment based on the target charging path and the predicted temperature of the power battery at the next moment, including: determining the target charging current corresponding to the next moment based on the target charging path, the predicted temperature of the power battery at the next moment, and the charging current control strategy.

[0010] According to the above technical means, the present application can determine the charging current control strategy for the next moment according to the heat loss of the power battery during charging, so as to determine the target charging current corresponding to the next moment according to the optimal charging path, the predicted temperature of the power battery at the next moment, and the charging current control strategy. That is, since the heat loss of the power battery is usually affected by the charging current, the predicted charging current for the next moment can be adjusted in real time according to the heat loss of the power battery, thereby reducing the heat loss of the power battery and improving the efficiency of battery charging.

[0011] In a possible implementation, the predicted temperature of the power battery at the next moment is obtained by inputting the temperature and charging current of the power battery at the current moment into a temperature prediction model. The temperature prediction model includes at least one first temperature prediction parameter, and the first temperature prediction parameter is preset. The method further includes: obtaining the actual temperature of the power battery at the next moment; in the case where the actual temperature of the power battery at the next moment is greater than a preset value compared with the predicted temperature of the power battery at the next moment, adjusting the first temperature prediction parameter based on historical charging data, and the historical charging data includes at least one of the following: the charging current of the power battery, the temperature of the power battery, the ambient temperature, the temperature of the heating medium, the temperature of the cooling medium, and the state of charge SOC of the power battery.

[0012] According to the above technical means, the present application can adjust the temperature prediction parameter included in the temperature prediction model based on historical charging data when the actual temperature of the power battery at the next moment is greater than the preset value compared with the predicted temperature at the next moment. That is, when the difference between the predicted temperature and the actual temperature at the next moment is large, it indicates that the accuracy of the temperature prediction model is low, and the parameters of the temperature prediction model can be re-determined according to the latest charging data, thereby improving the accuracy of the temperature prediction model.

[0013] In a possible implementation manner, when the actual temperature of the power battery at the next moment is greater than the predicted temperature of the power battery at the next moment by a preset value, adjusting the first temperature prediction parameter based on historical charging data includes: when the actual temperature of the power battery at the next moment is greater than the predicted temperature of the power battery at the next moment by a preset value, determining a second temperature prediction parameter based on historical charging data; and adjusting the first temperature prediction parameter based on the second temperature prediction parameter.

[0014] According to the above technical means, the present application can adjust the parameters of the original temperature prediction model according to the parameters of the temperature prediction model re-determined based on the latest charging data, thereby improving the accuracy of the temperature prediction model.

[0015] In a possible implementation manner, the method further includes: performing a simulation test on the power battery to obtain the maximum allowable charging current of the power battery in different temperature ranges corresponding to each state of charge (SOC) range; and constructing a preset charging reference relationship based on the maximum allowable charging current of the power battery in different temperature ranges corresponding to each state of charge (SOC) range.

[0016] According to the above technical means, the present application can construct a preset charging reference relationship by performing a simulation test on the power battery, which is convenient for subsequently determining the optimal charging path of the power battery according to the preset charging reference relationship.

[0017] According to the second aspect provided by the present application, there is provided a power battery charging device applied to a vehicle, where the vehicle is provided with a power battery; the power battery charging device includes a transmission module, a determination module, and a processing module; the transmission module is configured to obtain the state of charge (SOC) of the power battery at the current moment; the determination module is configured to determine a target charging path corresponding to the state of charge (SOC) at the current moment based on the preset charging reference relationship; the preset charging reference relationship includes the maximum allowable charging current of each state of charge (SOC) range in different temperature ranges; the target charging path includes the maximum allowable charging current of each state of charge (SOC) range in multiple state of charge (SOC) ranges, and the target temperature range corresponding to the maximum allowable charging current; the determination module is further configured to determine the predicted temperature of the power battery at the next moment after the current moment based on the temperature and charging current of the power battery at the current moment; the determination module is further configured to determine the target charging current corresponding to the next moment based on the target charging path and the predicted temperature of the power battery at the next moment; the processing module is configured to charge the power battery based on the target charging current at the next moment.

[0018] In a possible implementation, the determination module is further configured to determine the state of charge (SOC) of the power battery at the next moment based on the target charging current corresponding to the next moment and the SOC at the current moment; the determination module is further configured to determine the target temperature corresponding to the SOC of the power battery at the next moment based on the target charging path; the determination module is further configured to determine the temperature control strategy of the power battery at the next moment based on the target temperature and the temperature of the power battery at the current moment; the processing module is further configured to adjust the heating current of the power battery based on the temperature control strategy.

[0019] In a possible implementation, the determination module is further configured to determine the heat loss of the power battery during charging based on the internal resistance of the power battery and the current corresponding to the internal resistance; the determination module is further configured to determine the charging current control strategy at the next moment based on the target charging path and the heat loss; the determination module is further configured to determine the target charging current corresponding to the next moment based on the target charging path, the predicted temperature of the power battery at the next moment, and the charging current control strategy.

[0020] In a possible implementation, the predicted temperature of the power battery at the next moment is obtained by inputting the temperature and charging current of the power battery at the current moment into a temperature prediction model. The temperature prediction model includes at least one first temperature prediction parameter, and the first temperature prediction parameter is preset; the transmission module is further configured to obtain the actual temperature of the power battery at the next moment; the processing module is further configured to, when the difference between the actual temperature and the predicted temperature of the power battery at the next moment is greater than a preset value, adjust the first temperature prediction parameter based on historical charging data, where the historical charging data includes at least one of the following: the charging current of the power battery, the temperature of the power battery, the ambient temperature, the temperature of the heating medium, the temperature of the cooling medium, and the SOC of the power battery.

[0021] In a possible implementation, the determination module is further configured to determine a second temperature prediction parameter based on historical charging data when the difference between the actual temperature and the predicted temperature of the power battery at the next moment is greater than a preset value; the processing module is further configured to adjust the first temperature prediction parameter based on the second temperature prediction parameter.

[0022] In a possible implementation, the processing module is further configured to perform a simulation test on the power battery to obtain the maximum allowable charging current of the power battery in different temperature ranges corresponding to each state-of-charge interval; the processing module is further configured to construct a preset charging reference relationship based on the maximum allowable charging current of the power battery in different temperature ranges corresponding to each state-of-charge interval.

[0023] According to a third aspect provided by the present application, there is provided an electronic device, including: a processor; a memory for storing instructions executable by the processor; wherein, the processor is configured to execute the instructions to implement the method according to the first aspect and any possible implementation manner thereof as described above.

[0024] According to a fourth aspect provided by the present application, there is provided a computer-readable storage medium, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enabling the electronic device to execute the method according to the first aspect and any possible implementation manner thereof as described above.

[0025] According to a fifth aspect provided by the present application, there is provided a vehicle, including: a power battery charging device for implementing the method according to the first aspect and any possible implementation manner thereof as described above.

[0026] According to a sixth aspect provided by the present application, there is provided a computer program product, the computer program product includes computer instructions, when the computer instructions run on an electronic device, enabling the electronic device to execute the method according to the first aspect and any possible implementation manner thereof as described above.

[0027] Therefore, the above technical features of the present application have the following beneficial effects:

[0028] (1) The present application can be based on the target charging path corresponding to the state of charge (SOC) of the power battery at the current moment. Further, based on the target charging path and the predicted temperature of the power battery at the next moment, determine the target charging current corresponding to the next moment, and charge the power battery based on the target charging current at the next moment. That is, the target charging path is the maximum allowable charging current corresponding to different charge intervals of the power battery and the corresponding temperature intervals. The maximum allowable charging current is equivalent to the maximum charging rate of the power battery. Then the target charging path is equivalent to the optimal charging path of the power battery without exceeding the corresponding maximum charging rate. Combining the predicted temperature of the power battery at the next moment, the charging current of the power battery at the next moment can be estimated. Thus, it avoids the technical problem that when the charging rate of the power battery cell is small, it is necessary to replace the power battery cell with a larger charging rate to adjust the charging current by increasing the charging rate to achieve fast charging of the power battery. However, replacing the cell will result in a large cost, and realizes fast charging of the power battery without replacing the power battery cell with a small charging rate.

[0029] (2) This application can predict the temperature of the power battery at the next moment, and then determine the temperature control strategy of the power battery at the next moment, and adjust the heating current of the power battery according to the temperature control strategy of the power battery at the next moment. That is, if the predicted temperature of the power battery at the next moment is higher than the temperature at the current moment, the power battery can be heated at the next moment. If the predicted temperature of the power battery at the next moment is lower than the temperature at the current moment, the power battery can be cooled at the next moment, so as to flexibly adjust the temperature of the battery during the battery charging process and improve the efficiency of battery charging.

[0030] (3) This application can determine the charging current control strategy at the next moment according to the heat loss of the power battery during the charging process, so as to determine the target charging current corresponding to the next moment according to the optimal charging path, the predicted temperature of the power battery at the next moment, and the charging current control strategy. That is, since the heat loss of the power battery is usually affected by the charging current, the predicted charging current at the next moment can be adjusted in real time according to the heat loss of the power battery, so as to reduce the heat loss of the power battery and improve the efficiency of battery charging.

[0031] (4) When the difference between the actual temperature and the predicted temperature of the power battery at the next moment is greater than a preset value, this application can adjust the temperature prediction parameters included in the temperature prediction model based on historical charging data. That is, when the difference between the predicted temperature and the actual temperature at the next moment is large, it indicates that the accuracy of the temperature prediction model is low. Then, the parameters of the temperature prediction model can be re-determined according to the latest charging data, so as to improve the accuracy of the temperature prediction model.

[0032] (5) This application can adjust the parameters of the original temperature prediction model according to the parameters of the temperature prediction model re-determined according to the latest charging data, so as to improve the accuracy of the temperature prediction model.

[0033] (6) This application can build a preset charging reference relationship by performing simulation tests on the power battery, which is convenient for subsequently determining the optimal charging path of the power battery according to the preset charging reference relationship.

[0034] It should be noted that the technical effects brought by any implementation manner in the second aspect to the sixth aspect can be referred to the technical effects brought by the corresponding implementation manner in the first aspect, and will not be elaborated here.

[0035] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The drawings here are incorporated into the specification and form a part of this specification, showing the embodiments consistent with this application, and are used together with the specification to explain the principles of this application, and do not constitute an improper limitation to this application.

[0037] Figure 1 It is a schematic structural diagram of a power battery charging system shown according to an exemplary embodiment;

[0038] Figure 2 It is a flowchart of a power battery charging method shown according to an exemplary embodiment;

[0039] Figure 3 It is a schematic diagram of a preset charging reference relationship table shown according to an exemplary embodiment;

[0040] Figure 4 It is a flowchart of another power battery charging method shown according to an exemplary embodiment;

[0041] Figure 5 It is a flowchart of another power battery charging method shown according to an exemplary embodiment;

[0042] Figure 6 It is a flowchart of another power battery charging method shown according to an exemplary embodiment;

[0043] Figure 7 It is a schematic diagram of the predicted temperature and the actual temperature of a temperature prediction model shown according to an exemplary embodiment;

[0044] Figure 8 It is a flowchart of another power battery charging method shown according to an exemplary embodiment;

[0045] Figure 9 It is a flowchart of another power battery charging method shown according to an exemplary embodiment;

[0046] Figure 10 It is a block diagram of a power battery charging device shown according to an exemplary embodiment;

[0047] Figure 11 It is a block diagram of an electronic device shown according to an exemplary embodiment. Detailed implementation manners

[0048] The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for explaining the present invention and not for limiting the protection scope of the present invention.

[0049] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0050] As the number of new energy vehicles increases year by year, energy replenishment has become the primary problem that troubles users. The charging strategy currently used in the industry refers to adjusting the charging current by increasing the charging rate according to the preset fast charging strategy table during the charging process. Therefore, improving charging efficiency usually requires the use of new high-rate batteries, which ignores the fast charging needs of existing products.

[0051] For ease of understanding, the power battery charging method provided in the present application is specifically introduced below with reference to the accompanying drawings.

[0052] A power battery charging method provided in an embodiment of the present application can be applicable to a power battery charging system. Figure 1 FIG. 1 is a schematic diagram showing a structure of a power battery charging system according to an exemplary embodiment. Figure 1 As shown, the power battery charging system 10 includes: a vehicle processor 11 and a vehicle power battery 12 .

[0053] Specifically, the vehicle's processor 11 is used to obtain the state of charge SOC of the vehicle's power battery 12 at the current moment, determine the target charging path corresponding to the state of charge SOC at the current moment based on a preset charging reference relationship, determine the predicted temperature of the vehicle's power battery 12 at the next moment after the current moment based on the temperature of the vehicle's power battery 12 at the current moment and the charging current, determine the target charging current corresponding to the next moment based on the target charging path and the predicted temperature of the vehicle's power battery 12 at the next moment, and charge the vehicle's power battery 12 based on the target charging current at the next moment.

[0054] Figure 2 is a flow chart of a power battery charging method according to an exemplary embodiment, which is applied to a vehicle, wherein the vehicle is provided with a power battery, such as Figure 2 As shown, the power battery charging method includes the following steps:

[0055] S201. Obtain the state of charge (SOC) of the power battery at the current moment.

[0056] Optionally, the vehicle's processor may obtain the state of charge (SOC) of the vehicle's power battery at the current moment.

[0057] Exemplarily, the SOC of the power battery at the current moment may be 8.

[0058] S202. Determine the target charging path corresponding to the state of charge (SOC) at the current moment based on a preset charging reference relationship.

[0059] Among them, the first energy consumption is used to indicate the energy consumption generated when the vehicle turns on the thermal management function, and the second energy consumption is used to indicate the energy consumption generated when the vehicle turns off the thermal management function. The thermal management function is used to adjust the temperature of the power battery to the first threshold range.

[0060] Among them, the preset charging reference relationship includes the maximum allowable charging current corresponding to each state-of-charge interval in different temperature intervals; the target charging path includes the maximum allowable charging current corresponding to each state-of-charge interval among multiple state-of-charge intervals, and the target temperature interval corresponding to the maximum allowable charging current.

[0061] Optionally, based on the preset charging reference relationship, the vehicle's processor can perform linear interpolation according to temperature and step jump according to SOC to determine the target charging path corresponding to the SOC and temperature at the current moment.

[0062] Exemplarily, as Figure 3 shown, the multiple state-of-charge intervals can be 12 state-of-charge intervals, namely [0, 5], (5, 10], (10, 20], (20, 30], (30, 40], (40, 50], (50, 60], (60, 70], (70, 80], (80, 90], (90, 95], (95, 100]. The different temperature intervals can be 16 temperature intervals, [-20.1, -20], (-20, -15], (-15, -10], (-10, -5], (-5, 0], (0, 5], (5, 10], (10, 15], (15, 20], (20, 25], (25, 30], (35, 40], (40, 45], (45, 50], (50, 55], (55, 55.1]. The data in the table are the maximum allowable charging currents (i.e., the allowable charging current boundary values) corresponding to the power battery in different state-of-charge intervals and different temperature intervals.

[0063] Optionally, the target charging path can be represented by an array s i (where i is an integer greater than 0 and less than or equal to 12) (i.e., S = {s1, s2,..., s11, s12}), and s i represents the optimal charging state when the SOC of the power battery is in the i-th state-of-charge interval at the current moment.

[0064]

[0065] Among them, is the temperature range corresponding to the i-th charging interval, is the i-th charging interval; is the maximum allowable charging current corresponding to the i-th charging interval.

[0066] Exemplarily, when the SOC of the power battery at the current moment is 8, the corresponding charging interval is (5, 10]. According to Figure 3 it can be known that the target temperature range of the power battery is 360, the optimal charging state is s2 = {(25, 30), (5, 10), 360}, and the target charging path can be S = {s2,..., s11, s12}.

[0067] S203. Based on the temperature and charging current of the power battery at the current moment, determine the predicted temperature of the power battery at the next moment after the current moment.

[0068] Optionally, based on the temperature and charging current of the power battery at the current moment, the processor of the vehicle can determine the predicted temperature of the power battery at the next moment after the current moment through a temperature prediction model.

[0069] The temperature prediction model is as shown in Formula 2:

[0070]

[0071] where is the predicted temperature at the k-th moment, T k-1 is the actual temperature at the (k - 1)-th moment, i k-1 is the actual charging current at the (k - 1)-th moment, r(soc, T) is the DC internal resistance table, Δt is the time period, and A1, A2, A3 are parameters calibrated based on fast charging data at normal temperature, high temperature, and low temperature.

[0072] It should be noted that A1, A2, and A3 can be implemented based on methods such as curve fitting and least squares. For example, based on normal temperature full charge data, the parts where the thermal management strategy is turned on and off in the data can be identified. Among the data where the strategy is turned on, the above three coefficients are all effective. Among the data where the strategy is not turned on, only the two coefficients A1 and A3 are effective. Then a matrix equation system can be constructed and solved to obtain the initial values of the coefficients at normal temperature.

[0073] S204. Based on the target charging path and the predicted temperature of the power battery at the next moment, determine the target charging current corresponding to the next moment.

[0074] Optionally, based on the target charging path and the predicted temperature of the power battery at the next moment, the processor of the vehicle can determine the target charging current corresponding to the next moment through Formula 3.

[0075]

[0076] Where N is the number of charged intervals included in the target charging path, L is the number of sampling points included in one charged interval, and C' k is the actual charging current of each sampling point.

[0077] It should be noted that Formula Three is used to represent the accumulation of element similarities within the same charged interval, indicating the path similarity between the actual charging path and the optimal charging path, and can represent the quality of the actual charging path. The target charging path includes all charging state transition sequences from the current state point of the power battery to the fully charged state of the power battery. It is difficult for the charging path corresponding to the actual charging process to be exactly the same as it. Then, the path similarity between the actual charging path and the optimal charging path can be defined as the core optimization objective. In addition, indicators such as charging energy consumption or battery health can be supplemented and aggregated to form the final optimization objective.

[0078] Optionally, the vehicle's processor can solve Formula Three through the differential evolution algorithm to obtain the target charging current corresponding to the next moment.

[0079] S205. Charge the power battery based on the target charging current at the next moment.

[0080] Optionally, after obtaining the target charging current corresponding to the next moment, the vehicle's processor can determine whether the charged interval where the power battery is currently located is the last charging interval. If the charged interval where the power battery is currently located is the last charging interval, the current charging current is maintained; if the charging has not ended and the charged interval where the power battery is currently located is not the last charging interval, the power battery is charged based on the target charging current at the next charging interval.

[0081] Figure 4 is a flowchart of another power battery charging method shown according to an exemplary embodiment. As Figure 4 shown, the method further includes steps S301 - S303:

[0082] S301. Determine the state of charge SOC of the power battery at the next moment based on the target charging current corresponding to the next moment and the state of charge SOC at the current moment.

[0083] Optionally, based on the target charging current corresponding to the next moment and the SOC at the current moment, the vehicle's processor can determine the SOC of the power battery at the next moment.

[0084] S302. Determine the target temperature corresponding to the state of charge SOC of the power battery at the next moment based on the target charging path.

[0085] Optionally, based on the target charging path, the vehicle's processor can determine the target temperature corresponding to the state of charge (SOC) of the power battery at the next moment.

[0086] S303. Determine the temperature control strategy of the power battery at the next moment based on the target temperature and the temperature of the power battery at the current moment, and adjust the heating current of the power battery based on the temperature control strategy.

[0087] Optionally, based on the target temperature and the temperature of the power battery at the current moment, through Equation 3, the vehicle's processor can determine the temperature control strategy of the power battery at the next moment, and adjust the heating current of the power battery based on the temperature control strategy.

[0088] It should be noted that the quantity to be optimized of the power battery can be the temperature control strategy and the charging current sequence, and there is a mapping relationship as shown in Equation 4 between the actual charging path and the quantity to be optimized.

[0089]

[0090] Where S′ is the charging path corresponding to charging based on the quantity to be optimized, T s is the temperature control strategy, and C s is the set of all target charging currents. Therefore, the temperature control strategy of the power battery at the next moment can be determined through Equation 3.

[0091] Figure 5 is a flowchart of another power battery charging method shown according to an exemplary embodiment. As Figure 5 shown, the method further includes steps S401 - S402. The method in the above step S204 specifically includes S403:

[0092] S401. Determine the heat loss of the power battery during charging based on the internal resistance of the power battery and the current corresponding to the internal resistance.

[0093] Optionally, based on the internal resistance of the power battery and the current corresponding to the internal resistance, through Equation 5, the vehicle's processor can determine the heat loss of the power battery during charging.

[0094]

[0095] Where i is the current flowing through the ohmic internal resistance of the power battery, i1 is the current flowing through the polarization internal resistance of the power battery, r0 is the ohmic internal resistance of the power battery, and r p is the polarization internal resistance of the power battery.

[0096] It should be noted that the heat loss during the battery charging process can be considered and used as an optimization objective to characterize the utilization efficiency of the charging energy. The battery heat loss during the charging process can be comprehensively characterized based on the ohmic internal resistance and the polarization internal resistance.

[0097] S402. Determine the charging current control strategy for the next moment based on the target charging path and the heat loss.

[0098] Optionally, based on the target charging path and the heat loss, the vehicle's processor can determine the charging current control strategy for the next moment.

[0099] S403. Determine the target charging current corresponding to the next moment based on the target charging path, the predicted temperature of the power battery at the next moment, and the charging current control strategy.

[0100] Optionally, based on the target charging path, the predicted temperature of the power battery at the next moment, and the charging current control strategy, two optimization objectives can be aggregated by means of weight allocation (i.e., Formula Six), and the vehicle's processor can determine the target charging current corresponding to the next moment.

[0101]

[0102] The vehicle's processor can solve Formula Six through the differential evolution algorithm to obtain the target charging current and the charging current control strategy corresponding to the next moment. Specifically, the initialization of the solution population can be completed in the solution space to obtain multiple initial solution individuals, and then the mutation, hybridization, and selection processes can be continuously repeated until the optimization objective function value, the maximum number of optimization iterations, etc. corresponding to the solution meet the conditions. Then, the solution for the current state is completed, and the charging current control strategy and the charging current sequence within the subsequent state-of-charge interval are output.

[0103] The specific steps are listed as follows: S501. First, complete the population initialization. NP individuals are randomly and uniformly generated in the solution space. Each individual's elements consist of the thermal management strategy control parameters and the current sequence, as shown in the following formula:

[0104]

[0105] S502. Generate mutant individuals. For each individual in the population, three individuals are randomly selected from the remaining individuals excluding this individual. Based on these three individuals, the mutant individual corresponding to the target individual is obtained according to the following formula:

[0106]

[0107] Among them, are the three randomly selected individuals, F is the scaling factor, and V i tis the mutant individual corresponding to the target individual.

[0108] S503. Complete individual hybridization. Perform hybridization operations on each target individual and its corresponding mutant individual. A common hybridization strategy is binomial hybridization, as shown in the following formula:

[0109]

[0110] where, is the element of the mutant individual, is the element of the target individual, is the element of the test individual obtained by hybridization, CR is the crossover probability, and rand ij is a random number between [0, 1], and j rand is the randomly selected individual dimension.

[0111] S504. Complete individual selection. By comparing the fitness objective function values of the test individual and the target individual, select the individuals to be retained for the next generation. The selection operation is as follows:

[0112]

[0113] where, t represents the t-th generation, t + 1 represents the (t + 1)-th generation, and fitness is the optimization objective function proposed above.

[0114] S505. Set the iteration termination condition. When the iteration reaches the maximum number of generations or the objective function value meets the convergence condition, end the iteration, as shown below:

[0115]

[0116] where, M is the population generation number of the differential algorithm iteration, D M is the optimal objective function value corresponding to all individuals in the M-th generation population, and ε is the objective function convergence judgment threshold.

[0117] Figure 6 is a flowchart showing another power battery charging method according to an exemplary embodiment. The predicted temperature of the power battery at the next moment is obtained by inputting the temperature of the power battery at the current moment and the charging current into the temperature prediction model. The temperature prediction model includes at least one first temperature prediction parameter, and the first temperature prediction parameter is preset. The method further includes the following steps:

[0118] S601. Obtain the actual temperature of the power battery at the next moment.

[0119] Optionally, the processor of the vehicle can obtain the actual temperature of the power battery at the next moment.

[0120] S602. When the actual temperature of the power battery at the next moment is greater than the predicted temperature of the power battery at the next moment by a preset value, adjust the first temperature prediction parameter based on historical charging data.

[0121] Among them, the historical charging data includes at least one of the following: the charging current of the power battery, the temperature of the power battery, the ambient temperature, the temperature of the heating medium, the temperature of the cooling medium, and the SOC of the power battery.

[0122] Optionally, during the actual fast charging process of the power battery, the vehicle's processor can determine whether the actual temperature of the power battery at the next moment is greater than the predicted temperature of the power battery at the next moment by a preset value (i.e., verify the error level between the temperature estimated value under the current coefficient and the actual temperature).

[0123] When the actual temperature of the power battery at the next moment is greater than the predicted temperature of the power battery at the next moment by a preset value, the vehicle's processor can continuously adjust the first temperature prediction parameter online based on historical charging data.

[0124] Exemplarily, as Figure 7 shown, the actual temperature and predicted temperature of the power battery are monitored within 3000s. The solid line in the figure is the actual temperature of the power battery, and the dashed line in the figure is the predicted temperature of the power battery.

[0125] Figure 8 is a flowchart of another power battery charging method shown according to an exemplary embodiment. As Figure 8 shown, the method in the above step S602 specifically includes the following steps:

[0126] S701. When the actual temperature of the power battery at the next moment is greater than the predicted temperature of the power battery at the next moment by a preset value, determine the second temperature prediction parameter based on historical charging data.

[0127] Optionally, when the actual temperature of the power battery at the next moment is greater than the predicted temperature of the power battery at the next moment by a preset value, based on historical charging data (i.e., the currently accumulated charging data), the vehicle's processor can perform coefficient identification to determine the second temperature prediction parameter.

[0128] S702. Adjust the first temperature prediction parameter based on the second temperature prediction parameter.

[0129] Optionally, based on the second temperature prediction parameter, the vehicle's processor can adjust the first temperature prediction parameter by using the moving average method for coefficient update (i.e., Equation Twelve).

[0130]

[0131] Among them, is the corrected coefficient, α is the learning rate, is the coefficient before update (i.e., the first temperature prediction parameter), is the coefficient re-identified based on the cumulative data (i.e., the second temperature prediction parameter).

[0132] Figure 9 is a flowchart of yet another power battery charging method shown according to an exemplary embodiment. The method further includes the following steps:

[0133] S801. Perform a simulation test on the power battery to obtain the maximum allowable charging current of the power battery corresponding to each state of charge interval at different temperature intervals.

[0134] S802. Based on the maximum allowable charging current of the power battery corresponding to each state of charge interval at different temperature intervals, construct a preset charging reference relationship.

[0135] Optionally, the processor of the vehicle can establish a simulation model at the cell level, usually a pseudo-two-dimensional model (Pseudo-Two-Dimensional, P2D), and based on this simulation model, simulate and obtain the theoretical fast charging boundary of the cell (i.e., the theoretical maximum allowable charging current).

[0136] Furthermore, verify the theoretical fast charging boundary through a cell bench test platform to obtain a final fast charging reference boundary table (i.e., a preset charging reference relationship table). Synchronously, based on the cell bench test platform, the internal resistance and SOC-open circuit voltage (Open circuit voltage, OCV) of the cell can also be tested to obtain corresponding data.

[0137] The above mainly introduces the solution provided by the embodiments of the present application from the perspective of the method. To implement the above functions, the power battery charging device or electronic device includes the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that, combined with the units and algorithm steps of each example described in the embodiments disclosed in this article, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the way of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described function for each specific application, but this implementation should not be considered to exceed the scope of the present application.

[0138] Embodiments of the present application can, according to the above method, exemplarily divide the functional modules of a power battery charging device or an electronic device. For example, the power battery charging device or the electronic device may include respective functional modules corresponding to each functional division, or two or more functions may be integrated into one processing module. The above integrated module may be implemented in the form of hardware or in the form of a software functional module. It should be noted that the division of modules in the embodiments of the present application is illustrative, merely a logical function division, and there may be other division methods in actual implementation.

[0139] Figure 10 is a block diagram of a power battery charging device shown according to an exemplary embodiment. Referring to Figure 10 , the power battery charging device 110 includes: a transmission module 1101, a determination module 1102, and a processing module 1103.

[0140] The transmission module 1101 is configured to obtain the state of charge (SOC) of the power battery at the current moment; the determination module 1102 is configured to determine a target charging path corresponding to the SOC of the current moment based on a preset charging reference relationship; the preset charging reference relationship includes the maximum allowable charging current in different temperature ranges corresponding to each of a plurality of state-of-charge intervals; the target charging path includes the maximum allowable charging current corresponding to each of a plurality of state-of-charge intervals, and the target temperature range corresponding to the maximum allowable charging current.

[0141] The determination module 1102 is further configured to determine the predicted temperature of the power battery at the next moment after the current moment based on the temperature and charging current of the power battery at the current moment.

[0142] The determination module 1102 is further configured to determine the target charging current corresponding to the next moment based on the target charging path and the predicted temperature of the power battery at the next moment.

[0143] The processing module 1103 is configured to charge the power battery based on the target charging current at the next moment.

[0144] In a possible implementation manner, the determination module 1102 is further configured to determine the SOC of the power battery at the next moment based on the target charging current corresponding to the next moment and the SOC of the current moment; the determination module 1102 is further configured to determine the target temperature corresponding to the SOC of the power battery at the next moment based on the target charging path; the determination module 1102 is further configured to determine the temperature control strategy of the power battery at the next moment based on the target temperature and the temperature of the power battery at the current moment; the processing module 1103 is further configured to adjust the heating current of the power battery based on the temperature control strategy.

[0145] In a possible implementation, the determining module 1102 is further configured to determine the heat loss of the power battery during the charging process based on the internal resistance of the power battery and the current corresponding to the internal resistance; the determining module 1102 is further configured to determine the charging current control strategy for the next moment based on the target charging path and the heat loss; the determining module 1102 is further configured to determine the target charging current corresponding to the next moment based on the target charging path, the predicted temperature of the power battery at the next moment, and the charging current control strategy.

[0146] In a possible implementation, the predicted temperature of the power battery at the next moment is obtained by inputting the temperature and charging current of the power battery at the current moment into a temperature prediction model. The temperature prediction model includes at least one first temperature prediction parameter, and the first temperature prediction parameter is preset; the transmitting module 1101 is further configured to obtain the actual temperature of the power battery at the next moment; the processing module 1103 is further configured to, when the difference between the actual temperature and the predicted temperature of the power battery at the next moment is greater than a preset value, adjust the first temperature prediction parameter based on historical charging data. The historical charging data includes at least one of the following: the charging current of the power battery, the temperature of the power battery, the ambient temperature, the temperature of the heating medium, the temperature of the cooling medium, and the state of charge (SOC) of the power battery.

[0147] In a possible implementation, the determining module 1102 is further configured to, when the difference between the actual temperature and the predicted temperature of the power battery at the next moment is greater than a preset value, determine a second temperature prediction parameter based on historical charging data; the processing module 1103 is further configured to adjust the first temperature prediction parameter based on the second temperature prediction parameter.

[0148] In a possible implementation, the processing module 1103 is further configured to perform a simulation test on the power battery to obtain the maximum allowable charging current of the power battery in different temperature ranges corresponding to each state-of-charge interval; the processing module 1103 is further configured to construct a preset charging reference relationship based on the maximum allowable charging current of the power battery in different temperature ranges corresponding to each state-of-charge interval.

[0149] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0150] Figure 11 is a block diagram of an electronic device shown according to an exemplary embodiment. As Figure 11 shown, the electronic device 130 includes, but is not limited to: a processor 1301 and a memory 1302.

[0151] Among them, the above-mentioned memory 1302 is used to store the executable instructions of the above-mentioned processor 1301. It can be understood that the above-mentioned processor 1301 is configured to execute instructions to implement the power battery charging method in the above-mentioned embodiments.

[0152] It should be noted that those skilled in the art can understand that Figure 11 the structure of the electronic device shown in Figure 11 does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than

[0153] shown, or combine certain components, or have different component arrangements.

[0154] The processor 1301 is the control center of the electronic device, connecting various parts of the entire electronic device through various interfaces and lines. By running or executing software programs and / or modules stored in the memory 1302, and calling the data stored in the memory 1302, it executes various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. The processor 1301 may include one or more processing modules. Optionally, the processor 1301 may integrate an application processor and a modem processor. Among them, the application processor mainly processes the operating system, user interface, application programs, etc., and the modem processor mainly processes wireless communication. It can be understood that the above-mentioned modem processor may not be integrated into the processor 1301 either.

[0154] The memory 1302 can be used to store software programs and various data. The memory 1302 may mainly include a program storage area and a data storage area. Among them, the program storage area can store the operating system, application programs required by at least one functional module (such as the acquisition unit, determination module, processing unit, etc.). In addition, the memory 1302 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

[0155] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as the memory 1302 including instructions. The above-mentioned instructions can be executed by the processor 1301 of the electronic device 130 to implement the power battery charging method in the above-mentioned embodiments.

[0156] In actual implementation, Figure 10 the functions of the transmission module 1101, determination module 1102, and processing module 1103 in Figure 11 can all be implemented by the processor 1301 in

[0157] calling the computer program stored in the memory 1302. The specific execution process can refer to the description of the power battery charging method part in the above embodiments, and will not be elaborated here.Optionally, the computer-readable storage medium may be a non-transitory computer-readable storage medium. For example, the non-transitory computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0158] In an exemplary embodiment, a vehicle including a power battery charging device is further provided. The vehicle can complete the power battery charging method in the above embodiment through the power battery charging device.

[0159] In an exemplary embodiment, the present application embodiment further provides a computer program product including one or more instructions. The one or more instructions can be executed by a processor 1301 of an electronic device to complete the power battery charging method in the above embodiment.

[0160] It should be noted that when the instructions in the above computer-readable storage medium or the one or more instructions in the computer program product are executed by the processor of the electronic device, each process of the above power battery charging method embodiment is implemented, and the same technical effects as those of the above power battery charging method can be achieved. To avoid repetition, it will not be elaborated here.

[0161] Through the description of the above embodiments, those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above division of each functional module is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.

[0162] In several embodiments provided by the present application, it should be understood that the disclosed device and method can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0163] The unit described as a separating component may or may not be physically separated. The component shown as a unit may be a single physical unit or multiple physical units, that is, it may be located in one place or distributed to multiple different places. Some or all of the classification units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0164] In addition, each functional unit in various embodiments of the present application can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0165] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of the present application, in essence, or the part that contributes to the prior art, or all or part of the classification of this technical solution, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to enable a device (which can be a single-chip microcomputer, a chip, etc.) or a processor to execute all or part of the steps of the methods of the various embodiments of the present application. The aforementioned storage medium includes: USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical discs and other various media that can store program codes.

[0166] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for charging a power battery, characterized in that, Applied to a vehicle, the vehicle is provided with a power battery; the method includes: Obtain the state of charge (SOC) of the power battery at the current moment; Based on a preset charging reference relationship, determine the target charging path corresponding to the SOC at the current moment; the preset charging reference relationship includes the maximum allowable charging current in different temperature ranges corresponding to each of multiple charge intervals; the target charging path includes the maximum allowable charging current corresponding to each of multiple charge intervals, and the target temperature range corresponding to the maximum allowable charging current; Based on the temperature and charging current of the power battery at the current moment, determine the predicted temperature of the power battery at the next moment after the current moment; Based on the internal resistance of the power battery and the current corresponding to the internal resistance, determine the heat loss of the power battery during charging; Based on the target charging path and the heat loss, determine the charging current control strategy at the next moment; Based on the target charging path, the predicted temperature of the power battery at the next moment, and the charging current control strategy, determine the target charging current corresponding to the next moment, and charge the power battery based on the target charging current at the next moment.

2. The method according to claim 1, wherein The method further includes: Based on the target charging current corresponding to the next moment and the SOC of the power battery at the current moment, determine the SOC of the power battery at the next moment; Based on the target charging path, determine the target temperature corresponding to the SOC of the power battery at the next moment; Based on the target temperature and the temperature of the power battery at the current moment, determine the temperature control strategy of the power battery at the next moment, and adjust the heating current of the power battery based on the temperature control strategy.

3. The method according to claim 1 or 2, characterized in that, The predicted temperature of the power battery at the next moment is obtained by inputting the temperature and charging current of the power battery at the current moment into a temperature prediction model. The temperature prediction model includes at least one first temperature prediction parameter, and the first temperature prediction parameter is preset. The method further includes: Obtain the actual temperature of the power battery at the next moment; When the difference between the actual temperature and the predicted temperature of the power battery at the next moment is greater than a preset value, adjust the first temperature prediction parameter based on historical charging data. The historical charging data includes at least one of the following: the charging current of the power battery, the temperature of the power battery, the ambient temperature, the temperature of the heating medium, the temperature of the cooling medium, the SOC of the power battery.

4. The method according to claim 3, wherein The step of adjusting the first temperature prediction parameter based on historical charging data when the difference between the actual temperature and the predicted temperature of the power battery at the next moment is greater than a preset value includes: When the difference between the actual temperature and the predicted temperature of the power battery at the next moment is greater than the preset value, determine a second temperature prediction parameter based on the historical charging data; Adjust the first temperature prediction parameter based on the second temperature prediction parameter.

5. The method according to claim 1 or 2, characterized in that, The method further includes: Performing a simulation test on the power battery to obtain the maximum allowable charging current of the power battery at different temperature intervals corresponding to each state of charge interval. Construct the preset charging reference relationship based on the maximum allowable charging current of the power battery at different temperature intervals corresponding to each state of charge interval.

6. A power battery charging device, characterized in that, Applied to a vehicle, the vehicle is provided with a power battery; the power battery charging device includes a transmission module, a determination module, and a processing module. The transmission module is configured to obtain the state of charge SOC of the power battery at the current moment. The determination module is configured to determine the target charging path corresponding to the state of charge SOC at the current moment based on the preset charging reference relationship. The preset charging reference relationship includes the maximum allowable charging current at different temperature intervals corresponding to each state of charge interval in a plurality of state of charge intervals; the target charging path includes the maximum allowable charging current corresponding to each state of charge interval in a plurality of state of charge intervals, and the target temperature interval corresponding to the maximum allowable charging current. The determination module is further configured to determine the predicted temperature of the power battery at the next moment after the current moment based on the temperature and charging current of the power battery at the current moment. The determination module is further configured to determine the heat loss of the power battery during charging based on the internal resistance of the power battery and the current corresponding to the internal resistance. The determination module is further configured to determine the charging current control strategy at the next moment based on the target charging path and the heat loss. The determination module is further configured to determine the target charging current corresponding to the next moment based on the target charging path, the predicted temperature of the power battery at the next moment, and the charging current control strategy. The processing module is configured to charge the power battery based on the target charging current at the next moment.

7. The power battery charging device according to claim 6, characterized in that, The determination module is further configured to determine the state of charge SOC of the power battery at the next moment based on the target charging current corresponding to the next moment and the state of charge SOC at the current moment. The determination module is further configured to determine the target temperature corresponding to the state of charge SOC of the power battery at the next moment based on the target charging path. The determination module is further configured to determine the temperature control strategy of the power battery at the next moment based on the target temperature and the temperature of the power battery at the current moment. The processing module is further configured to adjust the heating current of the power battery based on the temperature control strategy.

8. An electronic device, characterized in that, Includes: A processor; A memory for storing executable instructions of the processor; Wherein, the processor is configured to execute the instructions to implement the method according to any one of claims 1 to 5.

9. A computer-readable storage medium, characterized in that, When the computer-executable instructions stored in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device can execute the method according to any one of claims 1 to 5.

10. A vehicle, characterized in that, The vehicle includes the power battery charging device as described in claim 6 or 7, and the vehicle is used to implement the method as described in any one of claims 1 to 5.

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