Thermal management duration determination method and device, equipment, medium, product and vehicle

Abstract

The invention relates to a thermal management duration determination method and device, equipment, a medium, a product and a vehicle, and relates to the technical field of thermal management. The technical problem that the accuracy of thermal management of the power battery is low in the prior art is at least solved. Comprising the following steps: acquiring historical maximum output power and historical average output power of a power battery; based on the historical maximum output power and the current driving mode of the vehicle, target demand power is determined, and the target demand power is output power, meeting the current driving mode, of the power battery; and determining the thermal management duration of the power battery based on the historical average output power and the target demand power. The accuracy of thermal management of the power battery can be improved.

Description

Methods, devices, equipment, media, products, and vehicles for determining thermal management duration. Technical Field

[0001] This application relates to the field of thermal management technology, specifically to a method, apparatus, equipment, medium, product, and vehicle for determining thermal management duration. Background Technology

[0002] With the rapid development and popularization of new energy vehicles, they have become an important means of transportation for achieving sustainable development in the transportation sector. Among these vehicles, the power battery, as a core component, directly affects the vehicle's power performance and driving range. Temperature has a significant impact on both the power battery's output power (affecting vehicle power performance) and its state of charge (i.e., usable capacity, affecting driving range). Especially at low temperatures, the internal resistance of the power battery increases, and the reaction rate of the active materials decreases, leading to a significant reduction in both the power battery's power performance and the vehicle's driving range. Therefore, thermal management of the power battery is necessary to regulate its temperature and improve its performance.

[0003] In related technologies, patent CN 117863974 A obtains the predicted end-of-life temperature of the power battery based on the vehicle's initial state of charge (SBC), real-time energy, initial temperature, real-time temperature, driving power, and driving time. This allows for thermal management of the power battery based on the initial temperature, real-time temperature, and predicted end-of-life temperature. Specifically, it obtains the predicted end-of-life SBC based on the initial SBC, real-time energy, driving power, and driving time. Then, it calculates the temperature rise based on the initial SBC, predicted end-of-life SBC, real-time temperature, and driving power, and finally obtains the predicted end-of-life temperature based on the initial temperature and temperature rise. This technical solution primarily considers the temperature parameters of the power battery and combines a Kalman filter algorithm for thermal management. However, the stability of the Kalman filter algorithm is affected by many factors during thermal management, which can negatively impact battery performance in some cases. Therefore, the accuracy of current thermal management methods for power batteries is relatively low.

[0004] In another related technology, patent CN 117039211 A uses the state of charge of the power battery as the first parameter, the driving speed of the electric vehicle as the second parameter, the temperature difference between the battery pack and the environment as the third parameter, and the remaining range to the destination as the fourth parameter. The battery management system then couples these four parameters to perform thermal management of the electric vehicle's power battery pack. This technical solution primarily aims to maximize the driving range of the power battery while minimizing the energy consumed by thermal management. It does not consider factors such as the performance of the power battery and the vehicle's power, which could reduce the performance of the power battery and the power of the vehicle. Therefore, the accuracy of this solution in thermal management of the power battery is relatively low, affecting the user's driving experience. Summary of the Invention

[0005] This application provides a method, apparatus, equipment, medium, product, and vehicle for determining thermal management duration. The purpose of this application is to at least solve the technical problem of low accuracy in thermal management of power batteries in related technologies.

[0006] To achieve the above objectives, the technical solution adopted in this application is as follows:

[0007] According to a first aspect provided in this application, a method for determining thermal management duration is provided. The method includes: obtaining the historical maximum output power and historical average output power of a power battery; determining a target required power based on the historical maximum output power and the current driving mode of the vehicle, wherein the target required power is the output power of the power battery that meets the current driving mode; and determining the thermal management duration of the power battery based on the historical average output power and the target required power.

[0008] Based on the aforementioned technical means, this application can obtain the historical maximum output power and historical average output power of the power battery, and determine the target power requirement based on the historical maximum output power and the vehicle's current driving mode. Since the required power battery output power varies depending on the vehicle's driving mode, the output power of the power battery to meet the current driving mode can be determined based on the historical maximum output power and the vehicle's current driving mode, serving as the target power requirement. Then, based on the historical average output power and the target power requirement, the thermal management duration of the power battery can be determined. Based on this solution, the thermal management duration of the power battery can be accurately determined by combining the historical maximum output power and historical average output power with the vehicle's current driving mode, thereby improving the accuracy of power battery thermal management and enhancing the user's driving experience.

[0009] In one possible implementation, before determining the thermal management duration of the power battery based on the historical average output power and the target required power, the method further includes: acquiring the first state of charge and battery temperature of the power battery, wherein the first state of charge is the current state of charge of the power battery; determining the current maximum output power of the power battery based on the first state of charge, battery temperature and a first preset relationship, wherein the first preset relationship is used to indicate the correspondence between multiple states of charge, multiple battery temperatures and multiple maximum output powers; and determining that the power battery needs thermal management if the current maximum output power is less than the target required power.

[0010] Based on the aforementioned technical means, this application can combine a first preset relationship indicating the correspondence between multiple states of charge, multiple battery temperatures, and multiple maximum output powers. Based on the obtained first state of charge and battery temperature, the current maximum output power of the power battery can be determined. Therefore, if the current maximum output power is less than the target required power, it is determined that the power battery needs thermal management. Thus, based on the current first state of charge and battery temperature of the power battery, combined with the first preset relationship, the current maximum output power of the power battery can be accurately determined, thereby accurately determining whether thermal management of the power battery is currently required.

[0011] In one possible implementation, different driving modes correspond to different adjustment parameters; the determination of the target required power based on the historical maximum output power and the vehicle's current driving mode includes: determining the adjusted maximum output power based on the product between the historical maximum output power and the adjustment parameters corresponding to the current driving mode; if the adjusted maximum output power is less than the base power, the base power is determined as the target required power, where the base power is the minimum power required to drive the vehicle; if the adjusted maximum output power is greater than or equal to the base power, the adjusted maximum output power is determined as the target required power.

[0012] Based on the aforementioned technical means, this application can determine the adjusted maximum output power based on the product of the historical maximum output power and the adjustment parameters corresponding to the current driving mode. Therefore, if the adjusted maximum output power is less than the base power, the base power is determined as the target required power; or, if the adjusted maximum output power is greater than or equal to the base power, the adjusted maximum output power is determined as the target required power. Thus, since different driving modes correspond to different adjustment parameters, the adjusted maximum output power can be determined based on the adjustment parameters corresponding to the vehicle's current driving mode and the historical maximum output power. The adjusted maximum output power is then compared with the minimum power required to operate the vehicle (i.e., the base power), thereby accurately determining the target required power under different conditions.

[0013] In one possible implementation, determining the thermal management duration of the power battery based on historical average output power and target demand power includes: determining a first duration based on historical average output power, target demand power, and a second preset relationship, wherein the second preset relationship indicates the correspondence between multiple average output powers, multiple demand powers, and multiple durations; determining a first coefficient from a first coefficient table based on the ratio between the current trip duration of the vehicle and the first duration, wherein the first coefficient table includes the correspondence between multiple ratio intervals and multiple coefficients; and determining the thermal management duration of the power battery based on the first duration and the first coefficient.

[0014] Based on the aforementioned technical means, this application can determine a first duration based on a second preset relationship indicating the correspondence between multiple average output powers, multiple demand powers, and multiple durations, given the historical average output power and target demand power. Then, based on the ratio between the current trip duration of the vehicle and the first duration, a first coefficient is determined from a first coefficient table including the correspondence between multiple ratio intervals and multiple coefficients. Thus, based on the first duration and the first coefficient, the thermal management duration of the power battery is determined. In this way, given the determined first duration, an adjustment coefficient (i.e., the first coefficient) can be determined by combining the current trip duration of the vehicle with the determined first duration to adjust the determined first duration and obtain the thermal management duration of the power battery. Therefore, the thermal management duration of the power battery can be accurately determined based on the current trip duration of the vehicle.

[0015] In one possible implementation, determining the thermal management duration of the power battery based on the first duration and the first coefficient includes: determining a second duration based on the product of the first duration and the first coefficient; determining a corrected target power demand based on historical average output power, the second duration, and a second preset relationship; determining a second state of charge (SOC) of the power battery based on historical average output power, the corrected target power demand, and a third preset relationship, wherein the second SOC is the SOC after thermal management of the power battery, and the third preset relationship indicates the correspondence between multiple average output powers, multiple power demands, and multiple SOCs; if the second SOC is less than the preset SOC, determining a second coefficient from a second coefficient table based on the SOC interval to which the second SOC belongs, wherein the second coefficient table includes the correspondence between multiple SOC intervals and multiple coefficients; and determining the thermal management duration of the power battery based on the product of the second duration and the second coefficient.

[0016] According to the aforementioned technical means, this application can first determine the second duration based on the product of the first duration and the first coefficient. Then, based on the historical average output power and the second duration, combined with a second preset relationship, a corrected target demand power is determined. Thus, based on the historical average output power and the corrected target demand power, combined with a third preset relationship indicating the correspondence between multiple average output powers, multiple demand powers, and multiple states of charge, the second state of charge after thermal management of the power battery is determined. Therefore, if the second state of charge is less than the preset state of charge, a second coefficient is determined from a second coefficient table including the correspondence between multiple state of charge intervals and multiple coefficients, based on the state of charge interval to which the second state of charge belongs. The thermal management duration of the power battery is determined based on the product of the second duration and the second coefficient. In this way, in determining the thermal management duration of the power battery, the second state of charge after thermal management of the power battery can be comprehensively considered, thereby obtaining an accurate thermal management duration of the power battery by adjusting the determined second duration through the corresponding coefficient.

[0017] In one possible implementation, the duration of the current trip is determined by: determining the duration of the current trip based on the navigation information of the current trip; or, determining the time interval to which the start time point belongs based on the start time point of the current trip; determining the historical average trip duration corresponding to the time interval to which the start time point belongs based on the vehicle's historical driving parameters; and determining the historical average trip duration as the duration of the current trip.

[0018] Based on the aforementioned technical means, this application can determine the duration of the current trip based on navigation information when such information is available. Alternatively, in the absence of navigation information for the current trip, it can determine the time interval to which the start time belongs based on the start time. Then, based on the vehicle's historical driving parameters, it can determine the historical average trip duration corresponding to the time interval to which the start time belongs, and use this historical average trip duration as the duration of the current trip. This allows for accurate determination of the current trip duration under different circumstances.

[0019] In one possible implementation, obtaining the historical maximum output power and historical average output power of the power battery includes: obtaining multiple historical driving parameters of the vehicle, each historical driving parameter including the maximum output power and average output power corresponding to the historical trip; determining the historical maximum output power based on the average value of the maximum output power corresponding to the multiple historical trips included in the multiple historical driving parameters; and determining the historical average output power based on the average value of the average output power corresponding to the multiple historical trips included in the multiple historical driving parameters.

[0020] Based on the aforementioned technical means, this application can determine the historical maximum output power by acquiring multiple historical driving parameters of the vehicle and using the average value of the maximum output power corresponding to the historical mileage included in each historical driving parameter. Furthermore, it can determine the historical average output power by using the average value of the average output power corresponding to the historical mileage included in each historical driving parameter. Thus, based on multiple historical driving parameters of the vehicle, the historical maximum output power and historical average output power of the power battery can be accurately determined.

[0021] According to a second aspect provided in this application, a thermal management duration determination device is provided, comprising: an acquisition module and a processing module; the acquisition module is used to acquire the historical maximum output power and historical average output power of the power battery; the processing module is used to determine the target required power based on the historical maximum output power and the current driving mode of the vehicle, wherein the target required power is the output power of the power battery that meets the current driving mode; the processing module is further used to determine the thermal management duration of the power battery based on the historical average output power and the target required power.

[0022] In one possible implementation, the acquisition module is further configured to acquire the first state of charge (SOC) and battery temperature of the power battery, wherein the SOC is the current SOC of the power battery; the processing module is further configured to determine the current maximum output power of the power battery based on the first SOC, battery temperature, and a first preset relationship, wherein the first preset relationship is used to indicate the correspondence between multiple SOCs, multiple battery temperatures, and multiple maximum output powers; the processing module is further configured to determine that the power battery needs thermal management if the current maximum output power is less than the target required power.

[0023] In one possible implementation, different driving modes correspond to different adjustment parameters; the processing module is specifically used to determine the adjusted maximum output power based on the product between the historical maximum output power and the adjustment parameter corresponding to the current driving mode; the processing module is specifically used to determine the base power as the target demand power when the adjusted maximum output power is less than the base power, the base power being the minimum power required to drive the vehicle; the processing module is specifically used to determine the adjusted maximum output power as the target demand power when the adjusted maximum output power is greater than or equal to the base power.

[0024] In one possible implementation, the processing module is specifically configured to determine a first duration based on historical average output power, target demand power, and a second preset relationship, wherein the second preset relationship indicates the correspondence between multiple average output powers, multiple demand powers, and multiple durations; the processing module is specifically configured to determine a first coefficient from a first coefficient table based on the ratio between the current trip duration of the vehicle and the first duration, wherein the first coefficient table includes the correspondence between multiple ratio intervals and multiple coefficients; and the processing module is specifically configured to determine the thermal management duration of the power battery based on the first duration and the first coefficient.

[0025] In one possible implementation, the processing module is specifically configured to: determine a second duration based on the product of a first duration and a first coefficient; determine a corrected target power demand based on historical average output power, the second duration, and a second preset relationship; determine a second state of charge (SOC) of the power battery based on historical average output power, the corrected target power demand, and a third preset relationship, wherein the second SOC is the SOC after thermal management of the power battery, and the third preset relationship indicates the correspondence between multiple average output powers, multiple power demands, and multiple SOCs; determine a second coefficient from a second coefficient table based on the SOC interval to which the second SOC belongs when the second SOC is less than a preset SOC, wherein the second coefficient table includes the correspondence between multiple SOC intervals and multiple coefficients; and determine the thermal management duration of the power battery based on the product of the second duration and the second coefficient.

[0026] In one possible implementation, the duration of the current trip is determined in the following ways: the processing module is further configured to determine the duration of the current trip based on the navigation information of the current trip; or, the processing module is further configured to determine the time interval to which the start time point belongs based on the start time point of the current trip; the processing module is further configured to determine the historical average trip duration corresponding to the time interval to which the start time point belongs based on the vehicle's historical driving parameters; the processing module is further configured to determine the historical average trip duration as the duration of the current trip.

[0027] In one possible implementation, the acquisition module is further configured to acquire multiple historical driving parameters of the vehicle, each historical driving parameter including the maximum output power and the average output power corresponding to the historical trip; the processing module is specifically configured to determine the historical maximum output power based on the average value of the maximum output power corresponding to the multiple historical trips included in the multiple historical driving parameters; the processing module is specifically configured to determine the historical average output power based on the average value of the average output power corresponding to the multiple historical trips included in the multiple historical driving parameters.

[0028] According to a third aspect provided in this application, an electronic device is provided, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement the method of the first aspect described above and any possible implementation thereof.

[0029] According to a fourth aspect provided in this application, a computer-readable storage medium is provided that, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, causes the electronic device to perform the method described in the first aspect and any possible implementation thereof.

[0030] According to the fifth aspect provided in this application, a computer program product is provided, the computer program product including computer instructions, which, when executed on an electronic device, cause the electronic device to perform the method described in the first aspect and any possible implementation thereof.

[0031] According to a sixth aspect provided in this application, a vehicle is provided, the vehicle including a thermal management duration determination device as described in the second aspect, the vehicle being used to implement the method of the first aspect and any possible implementation thereof.

[0032] Therefore, the above-mentioned technical features of this application have the following beneficial effects:

[0033] (1) This application can obtain the historical maximum output power and historical average output power of the power battery, and determine the target power requirement based on the historical maximum output power and the current driving mode of the vehicle. Since the required output power of the power battery varies depending on the vehicle's driving mode, the output power of the power battery to meet the current driving mode can be determined based on the historical maximum output power and the current driving mode of the vehicle, serving as the target power requirement. Then, based on the historical average output power and the target power requirement, the thermal management duration of the power battery can be determined. Based on this solution, the thermal management duration of the power battery can be accurately determined by combining the historical maximum output power and historical average output power of the power battery with the current driving mode of the vehicle, thereby improving the accuracy of thermal management of the power battery and enhancing the user's driving experience.

[0034] (2) This application can combine a first preset relationship indicating the correspondence between multiple states of charge, multiple battery temperatures, and multiple maximum output powers. Based on the obtained first state of charge and battery temperature, the current maximum output power of the power battery can be determined. Thus, if the current maximum output power is less than the target required power, it is determined that the power battery needs thermal management. In this way, based on the current first state of charge and battery temperature of the power battery, combined with the first preset relationship, the current maximum output power of the power battery can be accurately determined, thereby accurately determining whether thermal management of the power battery is currently required.

[0035] (3) This application can determine the adjusted maximum output power based on the product of the historical maximum output power and the adjustment parameters corresponding to the current driving mode. Therefore, if the adjusted maximum output power is less than the base power, the base power is determined as the target required power; or, if the adjusted maximum output power is greater than or equal to the base power, the adjusted maximum output power is determined as the target required power. Since different driving modes correspond to different adjustment parameters, the adjusted maximum output power can be determined based on the adjustment parameters corresponding to the vehicle's current driving mode and the historical maximum output power. The adjusted maximum output power is then compared with the minimum power required for vehicle operation (i.e., the base power), thereby accurately determining the target required power under different conditions.

[0036] (4) This application can determine a first duration based on a second preset relationship indicating the correspondence between multiple average output power, multiple demand power, and multiple durations, given the historical average output power and target demand power. Then, based on the ratio between the current trip duration of the vehicle and the first duration, a first coefficient is determined from a first coefficient table including the correspondence between multiple ratio intervals and multiple coefficients. Thus, the thermal management duration of the power battery is determined based on the first duration and the first coefficient. In this way, given the first duration, an adjustment coefficient (i.e., the first coefficient) can be determined by combining the current trip duration of the vehicle to adjust the determined first duration and obtain the thermal management duration of the power battery. Therefore, the thermal management duration of the power battery can be accurately determined based on the current trip duration of the vehicle.

[0037] (5) This application can first determine the second duration based on the product of the first duration and the first coefficient. Then, based on the historical average output power and the second duration, combined with the second preset relationship, a corrected target demand power is determined. Thus, based on the historical average output power and the corrected target demand power, combined with the third preset relationship indicating the correspondence between multiple average output powers, multiple demand powers, and multiple states of charge, the second state of charge after thermal management of the power battery is determined. Thus, if the second state of charge is less than the preset state of charge, based on the state of charge interval to which the second state of charge belongs, the second coefficient is determined from the second coefficient table which includes the correspondence between multiple state of charge intervals and multiple coefficients. The thermal management duration of the power battery is determined based on the product of the second duration and the second coefficient. In this way, in the process of determining the thermal management duration of the power battery, the second state of charge after thermal management of the power battery can be comprehensively considered, and the accurate thermal management duration of the power battery can be obtained by adjusting the determined second duration through the corresponding coefficient.

[0038] (6) This application can determine the duration of the current trip based on the navigation information of the current trip when such information is available. Alternatively, in the absence of navigation information for the current trip, it can determine the time interval to which the start time belongs based on the start time of the current trip. Then, based on the vehicle's historical driving parameters, it can determine the historical average trip duration corresponding to the time interval to which the start time belongs, and use this historical average trip duration as the duration of the current trip. This allows for accurate determination of the duration of the current trip under different circumstances.

[0039] (7) This application can determine the historical maximum output power by obtaining multiple historical driving parameters of the vehicle and based on the average value of the maximum output power corresponding to the historical mileage included in each historical driving parameter. It can also determine the historical average output power based on the average value of the average output power corresponding to the historical mileage included in each historical driving parameter. Thus, based on multiple historical driving parameters of the vehicle, the historical maximum output power and historical average output power of the power battery can be accurately determined.

[0040] It should be noted that the technical effects of any of the implementation methods in aspects two through six can be found in the technical effects of the corresponding implementation methods in aspect one, and will not be repeated here.

[0041] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0042] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application, and do not constitute an undue limitation of this application.

[0043] Figure 1 is a schematic diagram of a thermal management duration determination system according to an exemplary embodiment;

[0044] Figure 2 is a schematic diagram of another thermal management duration determination system according to an exemplary embodiment;

[0045] Figure 3 is a flowchart illustrating a method for determining thermal management duration according to an exemplary embodiment;

[0046] Figure 4 is a flowchart illustrating yet another method for determining thermal management duration according to an exemplary embodiment;

[0047] Figure 5 is a flowchart illustrating yet another method for determining thermal management duration according to an exemplary embodiment;

[0048] Figure 6 is a flowchart illustrating yet another method for determining thermal management duration according to an exemplary embodiment;

[0049] Figure 7 is a schematic diagram illustrating a parameter correspondence according to an exemplary embodiment;

[0050] Figure 8 is a flowchart illustrating yet another method for determining thermal management duration according to an exemplary embodiment;

[0051] Figure 9 is a block diagram illustrating a thermal management duration determination device according to an exemplary embodiment;

[0052] Figure 10 is a block diagram illustrating an electronic device according to an exemplary embodiment. Detailed Implementation

[0053] To enable those skilled in the art to better understand the technical solutions of this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0054] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0055] Currently, as a core component of new energy vehicles, the power battery is subject to accelerated aging and shortened lifespan due to frequent charging and discharging in low-temperature environments. Furthermore, user driving habits significantly impact battery temperature changes during driving. Since the energy consumed for thermal management of the power battery during vehicle operation typically originates from the battery itself, the duration of thermal management activation directly affects the vehicle's driving range. Therefore, it is necessary to consider user driving habits, meet basic driving power needs, reduce the energy consumed by power battery thermal management, and improve the accuracy of power battery thermal management.

[0056] The thermal management duration determination method provided in this application embodiment can be applied to a thermal management duration determination system. Figure 1 shows a schematic diagram of a thermal management duration determination system. As shown in Figure 1, the thermal management duration determination system 10 includes: a controller 11 and a power battery 12. Specifically, the controller 11 can be a battery management system (BMS).

[0057] The controller 11 can obtain the historical maximum output power and historical average output power of the power battery 12.

[0058] The controller 11 can also determine the target power requirement based on the historical maximum output power and the vehicle's current driving mode. The target power requirement is the output power of the power battery 12 that meets the current driving mode.

[0059] The controller 11 can also determine the thermal management duration of the power battery 12 based on the historical average output power and the target required power.

[0060] In some embodiments, the controller 11 may also acquire the first state of charge and battery temperature of the power battery 12, wherein the first state of charge is the current state of charge of the power battery 12; based on the first state of charge, battery temperature and a first preset relationship, the controller 11 may determine the current maximum output power of the power battery 12, wherein the first preset relationship is used to indicate the correspondence between multiple states of charge, multiple battery temperatures and multiple maximum output powers; and if the current maximum output power is less than the target required power, the controller 11 may determine that the power battery 12 needs to be thermally managed.

[0061] In some embodiments, different driving modes correspond to different adjustment parameters; the controller 11 can specifically determine the adjusted maximum output power based on the product between the historical maximum output power and the adjustment parameter corresponding to the current driving mode; if the adjusted maximum output power is less than the base power, the base power is determined as the target required power, and the base power is the minimum power required to meet the vehicle's driving needs; if the adjusted maximum output power is greater than or equal to the base power, the adjusted maximum output power is determined as the target required power.

[0062] In some embodiments, the controller 11 may specifically determine a first duration based on historical average output power, target demand power, and a second preset relationship, wherein the second preset relationship is used to indicate the correspondence between multiple average output powers, multiple demand powers, and multiple durations; determine a first coefficient from a first coefficient table based on the ratio between the current trip duration of the vehicle and the first duration, wherein the first coefficient table includes the correspondence between multiple ratio intervals and multiple coefficients; and determine the thermal management duration of the power battery 12 based on the first duration and the first coefficient.

[0063] In some embodiments, the controller 11 may specifically determine a second duration based on the product of a first duration and a first coefficient; determine a corrected target power demand based on historical average output power, the second duration, and a second preset relationship; determine a second state of charge (SOC) of the power battery 12 based on historical average output power, the corrected target power demand, and a third preset relationship, wherein the second SOC is the SOC after thermal management of the power battery 12, and the third preset relationship indicates the correspondence between multiple average output powers, multiple power demands, and multiple SOCs; if the second SOC is less than a preset SOC, determine a second coefficient from a second coefficient table based on the SOC interval to which the second SOC belongs, wherein the second coefficient table includes the correspondence between multiple SOC intervals and multiple coefficients; and determine the thermal management duration of the power battery 12 based on the product of the second duration and the second coefficient.

[0064] In some embodiments, the controller 11 may also determine the duration of the current trip based on the navigation information of the current trip; or, based on the start time of the current trip, determine the time interval to which the start time belongs; based on the vehicle's historical driving parameters, determine the historical average trip duration corresponding to the time interval to which the start time belongs; and determine the historical average trip duration as the duration of the current trip.

[0065] In some embodiments, the controller 11 may specifically acquire multiple historical driving parameters of the vehicle, each historical driving parameter including the maximum output power and average output power corresponding to the historical trip; determine the historical maximum output power based on the average value of the maximum output power corresponding to the multiple historical trips included in the multiple historical driving parameters; and determine the historical average output power based on the average value of the average output power corresponding to the multiple historical trips included in the multiple historical driving parameters.

[0066] In some embodiments, FIG2 shows a schematic diagram of another thermal management duration determination system. As shown in FIG2, the controller 11 included in the thermal management duration determination system 10 may specifically include: an information acquisition module 21, an information confirmation module 22, a first information query module 23, a first information correction module 24, a second information query module 25, a second information correction module 26, and a control execution module 27.

[0067] The information acquisition module 21 is used to acquire parameters such as the lowest temperature of the battery cell, the initial state of charge (SOC) of the battery, and the ambient temperature. It is also used to acquire data such as whether the vehicle navigation is turned on and the vehicle's driving mode, as well as historical data such as the historical average output power and historical maximum output power of the battery.

[0068] The information confirmation module 22 is used to determine whether the battery heating (i.e., thermal management) needs to be turned on for the current trip of the vehicle based on the data information obtained by the information acquisition module 21, and at the same time determine the trip duration of the current trip.

[0069] The first information query module 23 is used to determine the duration of thermal management of the power battery for the current trip based on the data information obtained by the information acquisition module 21 and the driving mode after determining that battery heating is required.

[0070] The first information correction module 24 is used to correct the determined thermal management duration of the power battery for the current trip.

[0071] The second information query module 25 is used to determine the state of charge of the power battery after thermal management.

[0072] The second information correction module 26 is used to further iteratively correct the thermal management duration of the power battery during the current trip based on the determined state of charge of the power battery after thermal management.

[0073] The control execution module 27 is used to execute the thermal management control strategy for the power battery based on the determined thermal management duration of the power battery.

[0074] For ease of understanding, the method for determining the thermal management duration provided in this application will be described in detail below with reference to the accompanying drawings.

[0075] Figure 3 is a flowchart illustrating a method for determining thermal management duration according to an exemplary embodiment. As shown in Figure 3, the method includes the following steps S301-S303:

[0076] S301. Obtain the historical maximum output power and historical average output power of the power battery.

[0077] Optionally, when the vehicle begins its current journey, the historical maximum output power and historical average output power of the power battery can be obtained through historical driving data.

[0078] It should be noted that the start of a current journey can be determined based on the vehicle's power-on status and the duration of that power-on status. When the vehicle is powered on for a certain period of time, it can be considered to have started a current journey. Alternatively, the start of a current journey can be determined based on the vehicle's speed; when the vehicle's speed is greater than 0 for a certain period of time, it can be considered to have started a current journey.

[0079] In some embodiments, in a method for determining thermal management duration provided in this application, step S201 may specifically include: acquiring multiple historical driving parameters of the vehicle, each historical driving parameter including the maximum output power and average output power corresponding to the historical trip; then, determining the historical maximum output power based on the average value of the maximum output power corresponding to the multiple historical trips included in the multiple historical driving parameters; and determining the historical average output power based on the average value of the average output power corresponding to the multiple historical trips included in the multiple historical driving parameters.

[0080] Optionally, data can be collected within a preset historical time period (e.g., the past week or month) including the vehicle's driving time, average battery output power, and maximum output power. Then, the data is grouped according to the time interval of each vehicle's driving time within a day. Based on the statistical results collected within the preset historical time period, the average travel time, maximum output power (i.e., historical maximum output power), and average output power (i.e., historical average output power) for the corresponding time interval are calculated.

[0081] For example, suppose that over the past month, data was collected showing N vehicle trips between 9:00 and 11:00 AM each day, with trip durations of t1, t2, ... t3. n The average output power per single trip is P ave1 P ave2 ...P aven The maximum output power for a single trip is P max1 P max2 ...P maxn The average travel time (P) for a single trip can be determined by averaging. aveb Historical average output power and historical maximum output power (P) maxb ).

[0082] Similarly, for historical parameters within the time intervals of 0:00-9:00, 11:00-14:00, 14:00-16:00, 16:00-21:00, and 21:00-24:00, the method for determining parameters within the 9:00-11:00 time interval can be referenced, and will not be repeated here. This results in the historical driving parameter statistics table shown in Table 1.

[0083] Table 1

[0084]

[0085] In this embodiment, the application can determine the historical maximum output power based on the average of the maximum output power corresponding to the historical mileage included in each historical driving parameter, by acquiring multiple historical driving parameters of the vehicle. Furthermore, it can determine the historical average output power based on the average of the average output power corresponding to the historical mileage included in each historical driving parameter. Thus, the historical maximum output power and historical average output power of the power battery can be accurately determined based on multiple historical driving parameters of the vehicle.

[0086] S302. Determine the target power requirement based on the historical maximum output power and the vehicle's current driving mode.

[0087] The target power requirement is the output power of the power battery to meet the current driving mode.

[0088] Optionally, an adjustment parameter can be determined based on the vehicle's current driving mode, thereby determining the target power demand based on the product of the acquired historical maximum output power and the determined adjustment parameter.

[0089] In some embodiments, different driving modes correspond to different adjustment parameters, as shown in Figure 4. In the thermal management duration determination method provided in this application embodiment, the above step S302 may specifically include S401-S403:

[0090] S401. Determine the adjusted maximum output power based on the product of the historical maximum output power and the adjustment parameter corresponding to the current driving mode.

[0091] Optionally, the vehicle's driving modes may include: Sport mode, Normal mode, and Eco mode, wherein the adjustment parameter for Sport mode can be 100%, the adjustment parameter for Normal mode can be 90%, and the adjustment parameter for Eco mode can be 80%. It should be noted that the adjustment parameters for Sport mode, Normal mode, and Eco mode are merely illustrative in this application and can be flexibly adjusted according to actual conditions in practical applications; this application does not impose specific limitations on these parameters.

[0092] In this way, the adjusted maximum output power can be determined by multiplying the historical maximum output power with the adjustment parameters corresponding to the current driving mode.

[0093] S402. If the adjusted maximum output power is less than the base power, the base power shall be determined as the target required power.

[0094] The base power is the minimum power required to keep the vehicle running.

[0095] Optionally, a minimum power requirement for vehicle operation can be set as the base power, thereby determining whether the determined adjusted maximum output power meets the minimum power requirement for vehicle operation based on the base power.

[0096] Therefore, if the adjusted maximum output power does not meet the minimum power requirements for vehicle operation, the adjusted maximum output power can be readjusted to determine the base power as the target required power.

[0097] S403. When the adjusted maximum output power is greater than or equal to the base power, the adjusted maximum output power shall be determined as the target required power.

[0098] Optionally, if the adjusted maximum output power meets the minimum power requirements for vehicle operation, the adjusted maximum output power can be directly determined as the target required power.

[0099] In this embodiment, the adjusted maximum output power can be determined based on the product of the historical maximum output power and the adjustment parameters corresponding to the current driving mode. Therefore, if the adjusted maximum output power is less than the base power, the base power is determined as the target required power; or, if the adjusted maximum output power is greater than or equal to the base power, the adjusted maximum output power is determined as the target required power. Since different driving modes correspond to different adjustment parameters, the adjusted maximum output power can be determined based on the adjustment parameters corresponding to the vehicle's current driving mode and the historical maximum output power. The adjusted maximum output power is then compared with the minimum power required for vehicle operation (i.e., the base power), thereby accurately determining the target required power under different conditions.

[0100] In some embodiments, as shown in FIG5, the method for determining thermal management duration provided in this application embodiment may further include steps S501-S503 before step S303:

[0101] S501. Obtain the first state of charge and battery temperature of the power battery. The first state of charge is the current state of charge of the power battery.

[0102] Optionally, the initial state of charge (i.e., first state of charge) and battery temperature of the power battery at the start of the current journey can be obtained through the BMS. Specifically, the initial state of charge and battery temperature of the power battery can be obtained through sensors.

[0103] It should be noted that since a power battery consists of multiple cells, the temperature of each cell may vary. Therefore, the battery temperature can be determined by determining the lowest temperature of the multiple cells, or by determining the average temperature of the multiple cells.

[0104] Optionally, it can also determine whether the first state of charge of the power battery is greater than or equal to the preset state of charge (e.g., 10% or 20%). If the first state of charge is less than the preset state of charge, it means that the power battery is too low. If thermal management is enabled, it will affect the vehicle's driving range. In this case, thermal management can be disabled, and the user will be reminded that the power battery is too low. If the first state of charge is greater than or equal to the preset state of charge, it means that the power battery is sufficiently charged, and thermal management can be performed.

[0105] S502. Based on the first state of charge, battery temperature and a first preset relationship, determine the current maximum output power of the power battery.

[0106] The first preset relationship is used to indicate the correspondence between multiple states of charge, multiple battery temperatures, and multiple maximum output powers.

[0107] Optionally, the first preset relationship can be obtained through pre-testing and calibration. This is achieved by testing the maximum output power corresponding to different battery temperatures and states of charge at different ambient temperatures. Table 2 illustrates the first preset relationship using an ambient temperature of 20 degrees Celsius as an example, where the first row represents the battery temperature and the first column represents the state of charge. For other ambient temperatures (e.g., 10 degrees Celsius, 30 degrees Celsius, etc.), the maximum output power corresponding to different battery temperatures and states of charge can be found in Table 2.

[0108] Table 2

[0109] -30℃-20℃-10℃0℃10℃20℃30℃40℃50℃60℃0%A1B1C1D1E1F1G1H1I1J110%A2B2C2D2E2F2G2H2I2J 220%A3B3C3D3E3F3G3H3I3J330%A4B4C4D4E4F4G4H4I4J440%A5B5C5D5E5F5G5H5I5J550%A6B 6C6D6E6F6G6H6I6J660%A7B7C7D7E7F7G7H7I7J770%A8B8C8D8E8F8G8H8I8J880%A9B9C9D9E9 F9G9H9I9J990%A10B10C10D10E10F10G10H10I10J10100%A11B11C11D11E11F11G11H11I11J11 surface

[0110] Optionally, based on the first preset relationship shown in Table 2, the current maximum output power of the power battery can be determined after determining the first state of charge and the battery temperature. For example, when the battery temperature is -10℃ and the state of charge displayed by the BMS is 50%, the current maximum output power of the power battery can be determined from Table 2 as C6.

[0111] S503. When the current maximum output power is less than the target required power, it is determined that the power battery needs thermal management.

[0112] Furthermore, by determining the relationship between the current maximum output power and the target power requirement, it can be determined whether thermal management of the power battery is needed. If the current maximum output power is less than the target power requirement, it indicates that the current output power of the power battery cannot meet the power demand, and thermal management is required to increase the output power of the power battery. If the current maximum output power is greater than or equal to the target power requirement, it means that the current output power of the power battery can meet the power demand, and therefore thermal management is not required.

[0113] In this embodiment, the application can combine a first preset relationship indicating the correspondence between multiple states of charge, multiple battery temperatures, and multiple maximum output powers. Based on the obtained first state of charge and battery temperature, the current maximum output power of the power battery can be determined. Therefore, if the current maximum output power is less than the target required power, it is determined that the power battery needs thermal management. Thus, based on the current first state of charge and battery temperature of the power battery, combined with the first preset relationship, the current maximum output power of the power battery can be accurately determined, thereby accurately determining whether thermal management of the power battery is currently required.

[0114] S303. Based on the historical average output power and the target required power, determine the thermal management duration of the power battery.

[0115] Optionally, the specific process for determining the thermal management duration of the power battery based on the historical average output power and the target required power can be referred to the following embodiments, which will not be repeated here.

[0116] In this embodiment, the application can obtain the historical maximum output power and historical average output power of the power battery to determine the target power requirement based on the historical maximum output power and the vehicle's current driving mode. Since the required power battery output power varies depending on the vehicle's driving mode, the output power required to meet the current driving mode can be determined based on the historical maximum output power and the vehicle's current driving mode, serving as the target power requirement. Then, based on the historical average output power and the target power requirement, the thermal management duration of the power battery can be determined. Based on this solution, the thermal management duration of the power battery can be accurately determined by combining the historical maximum output power and historical average output power with the vehicle's current driving mode, thereby improving the accuracy of thermal management of the power battery and enhancing the user's driving experience.

[0117] In some embodiments, as shown in FIG6, in a method for determining thermal management duration provided in this application embodiment, the above step S303 may specifically include S601-S603:

[0118] S601. Determine the first duration based on the historical average output power, the target demand power, and the second preset relationship.

[0119] The second preset relationship is used to indicate the correspondence between multiple average output powers, multiple demand powers, and multiple durations.

[0120] Optionally, the second preset relationship can be obtained through pre-testing and calibration. By pre-testing the heating time of the power battery under different average output power and different demand power (i.e., maximum output power) at specific temperatures and states of charge, the preset relationship table shown in Table 3 is obtained, where the first row represents different average output power and the first column represents different demand power.

[0121] Table 3

[0122]

[0123]

[0124] Optionally, given the historical average output power and the target demand power, the first duration can be determined based on the second preset relationship shown in Table 3.

[0125] For example, as shown in Figure 7, based on the second preset relationship shown in Table 3, the correspondence between average output power, required power, and duration can also be represented by the coordinate graph shown in Figure 7. Figure 7 shows the trend of the maximum output power (i.e., required power) of the power battery with the heating duration when the power battery is discharged at a certain constant power (i.e., average output power) and heated at a specific temperature (e.g., 25°C) and state of charge (e.g., 50%). In the figure, the horizontal axis represents duration, the vertical axis represents required power, and different line segments in the coordinate system represent the changes in duration with the change in required power at different average output power levels.

[0126] It should be noted that the second preset relationship shown in Table 3 or Figure 7 can be obtained through experimentation or simulation. First, the initial temperature for the simulation or experiment is set to 25℃, and the state of charge of the power battery is set to 50%. Then, different average output powers P are used... aveA P aveB ...P aveN-1 P aveN Discharging is performed while thermal management of the power battery is initiated. During thermal management, the battery temperature and state of charge (SOC) are recorded in real time. The simulation or experiment is stopped after the thermal management time exceeds one hour (this time can be adjusted according to actual conditions). Subsequently, using the collected battery temperature and SOC data, combined with Table 2, the corresponding maximum output power is determined. This yields the second preset relationship shown in Table 3 or Figure 7. By repeating the above simulation or experiment under different temperatures and SOC states, the curves showing the change in maximum output power of the power battery under different temperatures and SOC states as a function of thermal management time can be obtained.

[0127] Thus, given the historical average output power and the target demand power, the corresponding first duration can be determined based on the second preset relationship shown in Table 3.

[0128] S602. Determine the first coefficient from the first coefficient table based on the ratio between the current trip duration of the vehicle and the first duration.

[0129] The first coefficient table includes the correspondence between multiple ratio intervals and multiple coefficients.

[0130] Optionally, after determining the first duration, the corresponding first coefficient can be determined from the first coefficient table based on the ratio between the current trip duration of the vehicle and the first duration.

[0131] For example, as shown in Table 4, the first coefficient table includes multiple ratio intervals and the coefficients corresponding to each ratio interval.

[0132] Table 4

[0133] The ratio range is ≥1.1 (1.1,1](1,0.9](0.9,0.8](0.8,0.7]<0.7, with coefficients of 10.95, 0.85, 0.75, and 0.65, satisfying the basic power requirement. surface

[0134] It should be noted that when the ratio between the current trip duration and the initial trip duration is less than 0.7, it indicates that the current trip duration is significantly shorter than the determined thermal management duration. However, thermal management cannot be directly turned off. It is still necessary to determine whether the output power of the power battery can meet the normal driving requirements of the vehicle (basically meeting the base power). If it cannot meet the normal driving requirements, thermal management still needs to be activated. In this case, the target power requirement should be equal to the base power. If it can meet the normal driving requirements, thermal management can be turned off.

[0135] In some embodiments, in a thermal management duration determination method provided in this application, the duration of the current trip is determined by the following method: determining the duration of the current trip based on the navigation information of the current trip.

[0136] Optionally, when starting the current trip, it can be determined whether the user has enabled navigation. If navigation is enabled, the trip duration can be directly obtained through navigation information.

[0137] Alternatively, the duration of the current trip can be determined as follows: based on the start time of the current trip, determine the time interval to which the start time belongs; based on the vehicle's historical driving parameters, determine the historical average trip duration corresponding to the time interval to which the start time belongs; and determine the historical average trip duration as the duration of the current trip.

[0138] Optionally, without navigation enabled, the start time of the current trip can be determined, along with the time interval to which the start time belongs. Based on Table 1, the average trip duration corresponding to the time interval to which the start time belongs can then be determined, and this determined average trip duration can be set as the trip duration for the current trip.

[0139] It's important to note that when the trip duration exceeds the thermal management duration, theoretically, thermal management can be activated directly until the maximum output power of the battery meets the requirements, at which point it can be deactivated. However, there are still instances where the vehicle reaches the trip's end shortly after the battery output power reaches the required level. In this case, the increased battery output power does not translate into a significant improvement in performance during the current trip. Conversely, when the trip duration is shorter than the thermal management duration, it means that even with thermal management activated throughout the trip, the battery's maximum output power may still be insufficient to meet driving demands upon arrival at the end. In such cases, it's advisable to reduce the target power requirement to adjust the thermal management duration. Alternatively, if the trip duration is less than a certain timeframe (e.g., 10 minutes), thermal management can be deactivated to reduce unnecessary thermal energy consumption, thereby increasing the driving range while ensuring normal vehicle operation.

[0140] In this embodiment, the application can determine the duration of the current trip based on navigation information when such information is available. Alternatively, in the absence of navigation information, it can determine the time interval to which the start time belongs based on the start time of the current trip. Then, based on the vehicle's historical driving parameters, it can determine the historical average trip duration corresponding to the time interval to which the start time belongs, and use this historical average trip duration as the duration of the current trip. This allows for accurate determination of the current trip duration under different circumstances.

[0141] S603. Based on the first duration and the first coefficient, determine the thermal management duration of the power battery.

[0142] Optionally, for determining the thermal management duration of the power battery based on the first duration and the first coefficient, the following embodiments can be referenced, which will not be repeated here.

[0143] In this embodiment, the application can determine a first duration based on a second preset relationship indicating the correspondence between multiple average output powers, multiple demand powers, and multiple durations, given the historical average output power and target demand power. Then, based on the ratio between the current trip duration of the vehicle and the first duration, a first coefficient is determined from a first coefficient table including the correspondence between multiple ratio intervals and multiple coefficients. Thus, the thermal management duration of the power battery is determined based on the first duration and the first coefficient. In this way, given the first duration, an adjustment coefficient (i.e., the first coefficient) can be determined by combining the current trip duration of the vehicle with the determined first duration to adjust the determined first duration and obtain the thermal management duration of the power battery. Therefore, the thermal management duration of the power battery can be accurately determined based on the current trip duration of the vehicle.

[0144] In some embodiments, as shown in FIG8, in a method for determining thermal management duration provided in this application embodiment, the above-mentioned S603 may specifically include S801-S805:

[0145] S801. Determine the second duration based on the product of the first duration and the first coefficient.

[0146] S802. Based on the historical average output power, the second duration, and the second preset relationship, determine the corrected target power demand.

[0147] Optionally, after determining the second duration based on the product of the first duration and the first coefficient, the corrected target demand power can be determined from Table 3 based on the determined second duration and the historical average output power.

[0148] S803. Based on the historical average output power, the corrected target demand power, and the third preset relationship, determine the second state of charge of the power battery.

[0149] The second state of charge is the state of charge of the power battery after thermal management, and the third preset relationship is used to indicate the correspondence between multiple average output power, multiple demand power and multiple states of charge.

[0150] Optionally, the third preset relationship can be obtained through pre-testing and calibration. By pre-testing the change in state of charge of the power battery under different average output power and different demand power (i.e., maximum output power) for thermal management, the preset relationship table shown in Table 5 can be obtained, where the first row represents different average output power and the first column represents different demand power.

[0151] Table 5

[0152] P aveA P aveB ...P aveN-1 P aveN P maxA ΔSOC 1,1 ΔSOC 1,2 ...ΔSOC 1,N-1 ΔSOC 1,N P maxB ΔSOC 2,1 ΔSOC 2,2 ...ΔSOC 2,N-1 ΔSOC 2,N ..................P maxN-1 ΔSOC N-1,1 ΔSOC N-1,2 ...ΔSOC N-1,N-1 ΔSOC N-1,N P maxN ΔSOCN,1 ΔSOC N,2 ...ΔSOC N,N-1 ΔSOC N,N surface

[0153] Thus, given the historical average output power and the corrected target power demand, the second state of charge (SOC) of the power battery can be determined based on the third preset relationship shown in Table 5. Specifically, the corresponding SOC change can be determined using the third preset relationship shown in Table 5, and then the second SOC can be determined based on the difference between the first SOC and the corresponding SOC change.

[0154] S804. If the second state of charge is less than the preset state of charge, determine the second coefficient from the second coefficient table based on the state of charge interval to which the second state of charge belongs.

[0155] The second coefficient table includes the correspondence between multiple state-of-charge intervals and multiple coefficients.

[0156] Optionally, if the second state of charge is less than the preset state of charge (e.g., 10% or 20%), it indicates that the remaining charge of the power battery after thermal management is low, and the thermal management duration needs to be adjusted. If the second state of charge is greater than or equal to the preset state of charge, it indicates that the remaining charge of the power battery after thermal management is sufficient and will not affect the normal operation of the vehicle.

[0157] Optionally, as shown in Table 6, the second coefficient table includes multiple charge state intervals and the coefficients corresponding to each charge state interval.

[0158] Table 6

[0159] State of charge range ≥10% [8%, 10%] [5%, 8%] <5% coefficient 10.95 0.85 0.75 surface

[0160] Optionally, based on the second coefficient table shown in Table 6, the second coefficient can be determined from the second coefficient table based on the charge state interval to which the second charge state belongs.

[0161] S805. Based on the product of the second duration and the second coefficient, determine the thermal management duration of the power battery.

[0162] Optionally, after determining the thermal management duration of the power battery based on the product of the second duration and the second coefficient, further iterative processing can be performed to correct the thermal management duration multiple times. It is important to note that after iteratively correcting the thermal management duration, the final target power requirement can be calculated. This final target power requirement must still meet the vehicle's normal operating requirements (i.e., meet the base power). If it cannot meet the vehicle's normal operating requirements, thermal management must still be activated, and in this case, the final target power requirement is the base power. If the final target power requirement can meet the vehicle's normal operating requirements, then the power battery is thermally managed using the finally calculated thermal management duration.

[0163] In this embodiment, the application first determines a second duration based on the product of a first duration and a first coefficient. Then, based on the historical average output power and the second duration, and in conjunction with a second preset relationship, a corrected target demand power is determined. Thus, based on the historical average output power and the corrected target demand power, and in conjunction with a third preset relationship indicating the correspondence between multiple average output powers, multiple demand powers, and multiple states of charge, a second state of charge (SOC) after thermal management of the power battery is determined. If the second SOC is less than the preset SOC, a second coefficient is determined from a second coefficient table including the correspondence between multiple SOC intervals and multiple coefficients, based on the SOC interval to which the second SOC belongs. The thermal management duration of the power battery is then determined based on the product of the second duration and the second coefficient. In this way, in determining the thermal management duration of the power battery, the second SOC after thermal management can be comprehensively considered, thereby adjusting the determined second duration through the corresponding coefficient to obtain an accurate thermal management duration for the power battery.

[0164] The foregoing mainly describes the solutions provided by the embodiments of this application from a methodological perspective. To achieve the above functions, the thermal management duration determination device or electronic device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0165] This application embodiment can, based on the above method, exemplarily divide the thermal management duration determination device or electronic device into functional modules. For example, the thermal management duration determination device or electronic device may include functional modules corresponding to each functional division, or two or more functions may be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. It should be noted that the module division in this application embodiment is illustrative and only represents one logical functional division; in actual implementation, there may be other division methods.

[0166] Figure 9 is a block diagram illustrating a thermal management duration determination device according to an exemplary embodiment. Referring to Figure 9, the thermal management duration determination device 900 includes an acquisition module 901 and a processing module 902.

[0167] The acquisition module 901 is used to acquire the historical maximum output power and historical average output power of the power battery; the processing module 902 is used to determine the target required power based on the historical maximum output power and the current driving mode of the vehicle, wherein the target required power is the output power of the power battery that meets the current driving mode; the processing module 902 is also used to determine the thermal management duration of the power battery based on the historical average output power and the target required power.

[0168] In one possible implementation, the acquisition module 901 is further configured to acquire the first state of charge and battery temperature of the power battery, wherein the first state of charge is the current state of charge of the power battery; the processing module 902 is further configured to determine the current maximum output power of the power battery based on the first state of charge, battery temperature and a first preset relationship, wherein the first preset relationship is used to indicate the correspondence between multiple states of charge, multiple battery temperatures and multiple maximum output powers; the processing module 902 is further configured to determine that the power battery needs thermal management if the current maximum output power is less than the target required power.

[0169] In one possible implementation, different driving modes correspond to different adjustment parameters; the processing module 902 is specifically used to determine the adjusted maximum output power based on the product between the historical maximum output power and the adjustment parameter corresponding to the current driving mode; the processing module 902 is specifically used to determine the base power as the target demand power when the adjusted maximum output power is less than the base power, the base power being the minimum power required to drive the vehicle; the processing module 902 is specifically used to determine the adjusted maximum output power as the target demand power when the adjusted maximum output power is greater than or equal to the base power.

[0170] In one possible implementation, the processing module 902 is specifically used to determine a first duration based on historical average output power, target demand power, and a second preset relationship, wherein the second preset relationship is used to indicate the correspondence between multiple average output powers, multiple demand powers, and multiple durations; the processing module 902 is specifically used to determine a first coefficient from a first coefficient table based on the ratio between the current trip duration of the vehicle and the first duration, wherein the first coefficient table includes the correspondence between multiple ratio intervals and multiple coefficients; the processing module 902 is specifically used to determine the thermal management duration of the power battery based on the first duration and the first coefficient.

[0171] In one possible implementation, processing module 902 is specifically used to determine a second duration based on the product of a first duration and a first coefficient; processing module 902 is specifically used to determine a corrected target power demand based on historical average output power, the second duration, and a second preset relationship; processing module 902 is specifically used to determine a second state of charge (SOC) of the power battery based on historical average output power, the corrected target power demand, and a third preset relationship, wherein the second SOC is the SOC after thermal management of the power battery, and the third preset relationship indicates the correspondence between multiple average output powers, multiple power demands, and multiple SOCs; processing module 902 is specifically used to determine a second coefficient from a second coefficient table based on the SOC interval to which the second SOC belongs when the second SOC is less than a preset SOC, wherein the second coefficient table includes the correspondence between multiple SOC intervals and multiple coefficients; and processing module 902 is specifically used to determine the thermal management duration of the power battery based on the product of the second duration and the second coefficient.

[0172] In one possible implementation, the duration of the current trip is determined in the following ways: the processing module 902 is further configured to determine the duration of the current trip based on the navigation information of the current trip; or, the processing module 902 is further configured to determine the time interval to which the start time point belongs based on the start time point of the current trip; the processing module 902 is further configured to determine the historical average trip duration corresponding to the time interval to which the start time point belongs based on the vehicle's historical driving parameters; the processing module 902 is further configured to determine the historical average trip duration as the duration of the current trip.

[0173] In one possible implementation, the acquisition module 901 is further configured to acquire multiple historical driving parameters of the vehicle, each historical driving parameter including the maximum output power and the average output power corresponding to the historical trip; the processing module 902 is specifically configured to determine the historical maximum output power based on the average value of the maximum output power corresponding to the multiple historical trips included in the multiple historical driving parameters; the processing module 902 is specifically configured to determine the historical average output power based on the average value of the average output power corresponding to the multiple historical trips included in the multiple historical driving parameters.

[0174] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0175] Figure 10 is a block diagram of an electronic device according to an exemplary embodiment. As shown in Figure 10, the electronic device 1000 includes, but is not limited to, a processor 1001 and a memory 1002.

[0176] The memory 1002 described above is used to store the executable instructions of the processor 1001. It is understood that the processor 1001 is configured to execute instructions to implement the thermal management duration determination method in the above embodiments.

[0177] It should be noted that those skilled in the art will understand that the electronic device structure shown in FIG10 does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than those shown in FIG10, or combine certain components, or have different component arrangements.

[0178] The processor 1001 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in the memory 1002, and by calling data stored in the memory 1002, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. The processor 1001 may include one or more processing units. Optionally, the processor 1001 may integrate an application processor and a modem processor. The application processor mainly handles the operating system, user interface, and applications, while the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 1001.

[0179] The memory 1002 can be used to store software programs and various data. The memory 1002 may primarily include a program storage area and a data storage area, wherein the program storage area may store the operating system, application programs (such as processing modules) required by at least one functional module, etc. Furthermore, the memory 1002 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0180] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory 1002 including instructions, which can be executed by a processor 1001 of an electronic device 1000 to implement the thermal management duration determination method in the above embodiments.

[0181] In actual implementation, the functions of the acquisition module 901 and processing module 902 in Figure 9 can be implemented by the processor 1001 in Figure 10 calling the computer program stored in the memory 1002. The specific execution process can be found in the description of the thermal management duration determination method in the previous embodiment, and will not be repeated here.

[0182] Optionally, the computer-readable storage medium may be a non-transitory computer-readable storage medium, such as a read-only memory (ROM), random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device.

[0183] In an exemplary embodiment, this application also provides a computer program product including one or more instructions, which can be executed by the processor 1001 of the electronic device 1000 to complete the thermal management duration determination method in the above embodiments.

[0184] It should be noted that when one or more instructions in the computer-readable storage medium or computer program product are executed by the processor of the electronic device, they implement the various processes of the above-described thermal management duration determination method embodiment and can achieve the same technical effect as the above-described thermal management duration determination method. To avoid repetition, they will not be described again here.

[0185] Through the above description of the embodiments, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0186] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another apparatus, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0187] The units described as separate components may or may not be physically separate. A component shown as a unit can be one or more physical units; that is, it can be located in one place or distributed in multiple different locations. Some or all of the classified units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0188] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0189] If the integrated unit is implemented as 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 this application, essentially, or the part that contributes to the prior art, or a complete or partial classification of the 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 cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0190] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for determining thermal management duration, characterized in that, The method includes: obtaining the historical maximum output power and historical average output power of the power battery; determining the target required power based on the historical maximum output power and the current driving mode of the vehicle, wherein the target required power is the output power of the power battery that meets the current driving mode; and determining the thermal management duration of the power battery based on the historical average output power and the target required power.

2. The method according to claim 1, characterized in that, Before determining the thermal management duration of the power battery based on the historical average output power and the target required power, the method further includes: acquiring the first state of charge and battery temperature of the power battery, wherein the first state of charge is the current state of charge of the power battery; determining the current maximum output power of the power battery based on the first state of charge, the battery temperature, and a first preset relationship, wherein the first preset relationship is used to indicate the correspondence between multiple states of charge, multiple battery temperatures, and multiple maximum output powers; and determining that the power battery needs thermal management if the current maximum output power is less than the target required power.

3. The method according to claim 1, characterized in that, Different driving modes correspond to different adjustment parameters; determining the target power requirement based on the historical maximum output power and the vehicle's current driving mode includes: determining the adjusted maximum output power based on the product of the historical maximum output power and the adjustment parameter corresponding to the current driving mode; if the adjusted maximum output power is less than the base power, the base power is determined as the target power requirement, where the base power is the minimum power required for the vehicle to operate; if the adjusted maximum output power is greater than or equal to the base power, the adjusted maximum output power is determined as the target power requirement.

4. The method according to claim 1, characterized in that, The step of determining the thermal management duration of the power battery based on the historical average output power and the target power demand includes: determining a first duration based on the historical average output power, the target power demand, and a second preset relationship, wherein the second preset relationship indicates the correspondence between multiple average output powers, multiple power demands, and multiple durations; determining a first coefficient from a first coefficient table based on the ratio between the current trip duration of the vehicle and the first duration, wherein the first coefficient table includes the correspondence between multiple ratio intervals and multiple coefficients; and determining the thermal management duration of the power battery based on the first duration and the first coefficient.

5. The method according to claim 4, characterized in that, The step of determining the thermal management duration of the power battery based on the first duration and the first coefficient includes: determining a second duration based on the product of the first duration and the first coefficient; determining a corrected target power demand based on the historical average output power, the second duration, and a second preset relationship; determining a second state of charge (SOC) of the power battery based on the historical average output power, the corrected target power demand, and a third preset relationship, wherein the second SOC is the SOC after thermal management of the power battery, and the third preset relationship indicates the correspondence between multiple average output powers, multiple power demands, and multiple SOCs; determining a second coefficient from a second coefficient table based on the SOC interval to which the second SOC belongs, wherein the second coefficient table includes the correspondence between multiple SOC intervals and multiple coefficients; and determining the thermal management duration of the power battery based on the product of the second duration and the second coefficient.

6. The method according to claim 4, characterized in that, The duration of the current trip is determined in the following ways: based on the navigation information of the current trip, the duration of the current trip is determined; or, based on the start time of the current trip, the time interval to which the start time belongs is determined. Based on the vehicle's historical driving parameters, the historical average travel time corresponding to the time interval to which the start time point belongs is determined; the historical average travel time is then determined as the travel time of the current trip.

7. The method according to claim 1, characterized in that, The step of obtaining the historical maximum output power and historical average output power of the power battery includes: obtaining multiple historical driving parameters of the vehicle, each historical driving parameter including the maximum output power and average output power corresponding to the historical trip; determining the historical maximum output power based on the average value of the maximum output power corresponding to the multiple historical trips included in the multiple historical driving parameters; and determining the historical average output power based on the average value of the average output power corresponding to the multiple historical trips included in the multiple historical driving parameters.

8. A device for determining thermal management duration, characterized in that, The thermal management duration determination device includes: an acquisition module and a processing module; the acquisition module is used to acquire the historical maximum output power and historical average output power of the power battery; the processing module is used to determine the target required power based on the historical maximum output power and the current driving mode of the vehicle, wherein the target required power is the output power of the power battery that meets the current driving mode; the processing module is also used to determine the thermal management duration of the power battery based on the historical average output power and the target required power.

9. An electronic device, characterized in that, include: processor; A memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method as described in any one of claims 1-7.

10. 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 performs the method as described in any one of claims 1-7.

11. A computer program product, characterized in that, The computer program product includes computer instructions that, when executed on an electronic device, cause the electronic device to perform the method as described in any one of claims 1-7.

12. A vehicle, characterized in that, The vehicle includes the thermal management duration determination device as described in claim 8, and the vehicle is used to implement the method as described in any one of claims 1-7.

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