Methods, devices, equipment and storage media for battery thermal management in new energy vehicles

Abstract

This application provides a battery thermal management method, apparatus, device, and storage medium for new energy vehicles, applicable to the field of new energy vehicles. The method includes: obtaining the remaining driving distance and remaining driving time of the target vehicle from its destination based on navigation information; when the remaining driving distance is less than a preset distance threshold and the remaining driving time is less than a first preset time threshold, controlling the target vehicle to enter a battery predictive thermal management mode; wherein, the battery predictive thermal management mode includes: stopping heating or cooling the battery when the cell temperature of the target vehicle's battery does not exceed a first preset temperature range; wherein the first preset temperature range does not exceed the battery's safe temperature range. The method of this application enables predictive control of battery thermal management in scenarios of short-distance travel or when the vehicle is about to reach its destination, avoiding unnecessary battery heating or cooling and reducing vehicle energy consumption.

Description

Technical Field

[0001] This application relates to the field of new energy vehicles, and in particular to a battery thermal management method, device, equipment, and storage medium for new energy vehicles. Background Technology

[0002] Energy management, a hot topic and a challenge in the field of new energy vehicles, is a core technology that directly determines a vehicle's economy, power, and drivability. Battery thermal management is a crucial component of energy management in new energy vehicles, and the quality and reliability of battery thermal management strategies directly impact vehicle performance and safety.

[0003] Current traditional battery thermal management strategies typically begin heating or cooling the battery once the cell temperature triggers a certain threshold, and then stop once a set target temperature is reached. This approach cannot adjust the heating or cooling based on user trips and actual vehicle usage, leading to unnecessary battery heating or cooling in short-distance trips or when the vehicle is about to reach its destination. Summary of the Invention

[0004] This application provides a battery thermal management method, device, equipment, and storage medium for new energy vehicles, which aims to solve the problem of unnecessary battery heating or cooling, resulting in increased vehicle energy consumption, in scenarios such as short-distance travel or when the vehicle is about to reach its destination.

[0005] According to the first aspect disclosed in this application, a battery thermal management method for a new energy vehicle is provided, comprising:

[0006] The remaining driving distance and remaining driving time of the target vehicle from the destination are obtained based on navigation information, wherein the navigation information includes navigation distance information and navigation speed information;

[0007] If the remaining driving distance is less than a preset distance threshold and the remaining driving time is less than a first preset time threshold, the target vehicle is controlled to enter the battery predictive thermal management mode.

[0008] The battery predictive thermal management mode includes:

[0009] If the cell temperature of the battery in the target vehicle does not exceed a first preset temperature range, heating or cooling of the battery shall be stopped; wherein the first preset temperature range does not exceed the safe temperature range of the battery.

[0010] In one feasible implementation, stopping the heating or cooling of the battery includes:

[0011] When the battery is heating or cooling, the target vehicle is controlled to no longer respond to battery thermal management requests; wherein, the battery thermal management request includes a battery cooling request or a battery heating request.

[0012] If the battery is not heated or cooled, the target vehicle is controlled to no longer issue battery thermal management requests.

[0013] In one feasible implementation, after obtaining the remaining driving distance and remaining driving time of the target vehicle from the destination based on navigation information, the method further includes:

[0014] If the target vehicle meets any one of the conditions in the first preset condition set, or does not meet any one of the conditions in the second preset condition set, the target vehicle is prohibited from entering the battery predictive thermal management mode.

[0015] The first set of preset conditions includes: the target vehicle's battery management system malfunction, the target vehicle's vehicle thermal management system malfunction, the target vehicle being in an aggressive driving state, the battery's charge exceeding a preset charge threshold, the battery's cell temperature rise rate exceeding a preset temperature rise rate threshold, the ambient temperature of the target vehicle exceeding a second preset temperature range, the battery's cell temperature not exceeding the normal temperature range, and the target vehicle having exited the battery predictive thermal management mode and the exit duration being less than a second preset duration threshold.

[0016] The second set of preset conditions includes the target vehicle being ready to start, the navigation route information being reliable, the navigation speed information being reliable, and the navigation information being updated normally.

[0017] In one feasible implementation, the method for determining whether the target vehicle is in a state of aggressive driving includes:

[0018] Obtain the rate of change of the accelerator pedal of the target vehicle within a preset time range;

[0019] Obtain the statistical number of times the rate of change exceeds a preset rate of change threshold;

[0020] If the number of counts exceeds a preset threshold, the target vehicle is determined to be in a state of aggressive driving.

[0021] In one feasible implementation, the method for determining the reliability of the navigation route information includes:

[0022] Based on the navigation route information, the total distance traveled by the target vehicle from its origin to its destination is obtained;

[0023] The predicted driving distance is obtained based on the difference between the total distance traveled and the remaining driving distance.

[0024] The actual speed of the target vehicle in its historical driving data is integrated over time to obtain the actual driving distance;

[0025] If the deviation between the predicted driving distance and the actual driving distance does not exceed a first preset deviation range, the navigation route information is determined to be reliable.

[0026] In one feasible implementation, the method for determining the reliability of the navigation vehicle speed information includes:

[0027] The predicted speed of the target vehicle is obtained based on the navigation speed information;

[0028] If the deviation between the predicted vehicle speed and the actual vehicle speed of the target vehicle does not exceed a second preset deviation range, the navigation vehicle speed information is determined to be reliable.

[0029] In one feasible implementation, the method for determining whether the navigation information update is normal includes:

[0030] The interval between the update time of the navigation information and the current time is obtained. If the interval does not exceed a third preset time threshold, the navigation information update is determined to be normal.

[0031] In one feasible implementation, after controlling the target vehicle to enter the battery predictive thermal management mode, the method further includes:

[0032] If the target vehicle meets any one of the conditions in the first preset condition set, or does not meet any one of the conditions in the second preset condition set, the target vehicle is controlled to exit the battery predictive thermal management mode.

[0033] In one feasible implementation, after controlling the target vehicle to enter the battery predictive thermal management mode, the method further includes:

[0034] Obtain the duration of entry into the battery predictive thermal management mode;

[0035] If the duration of the entry exceeds a fourth preset duration threshold, or if the target vehicle reaches its destination, the target vehicle is controlled to exit the battery predictive thermal management mode.

[0036] According to a second aspect disclosed in this application, a battery thermal management device for a new energy vehicle is provided, comprising:

[0037] The information acquisition module is used to acquire the remaining driving distance and remaining driving time of the target vehicle from the destination based on navigation information, wherein the navigation information includes navigation distance information and navigation speed information;

[0038] The thermal management module is used to control the target vehicle to enter the battery predictive thermal management mode when the remaining driving distance is less than a preset distance threshold and the remaining driving time is less than a first preset time threshold.

[0039] The battery predictive thermal management mode includes:

[0040] If the cell temperature of the battery in the target vehicle does not exceed a first preset temperature range, heating or cooling of the battery shall be stopped; wherein the first preset temperature range does not exceed the safe temperature range of the battery.

[0041] According to a third aspect disclosed in this application, an electronic device is provided, including a processor and a memory communicatively connected to the processor;

[0042] The memory stores computer-executed instructions;

[0043] The processor executes computer execution instructions stored in the memory to implement the method described in any one of the first aspects.

[0044] According to a fourth aspect disclosed in this application, a computer-readable storage medium is provided, wherein computer-executable instructions are stored therein, which, when executed by a processor, are used to implement the method described in any one of the first aspects.

[0045] According to the fifth aspect disclosed in this application, a computer program product is provided, comprising a computer program that, when executed by a processor, is used to implement the method described in any one of the first aspects.

[0046] Compared with the prior art, this application has the following beneficial effects:

[0047] The battery thermal management method, device, equipment, and storage medium for new energy vehicles provided in this application obtain the remaining driving distance and remaining driving time of the target vehicle through navigation information, and use the obtained remaining driving distance and remaining driving time as a determination condition to determine whether the target vehicle is on a short trip or about to reach its destination. If the target vehicle is on a short trip or about to reach its destination, then under the condition that the battery predictive thermal management mode can be entered, unnecessary heating or cooling of the target vehicle's battery is stopped through the battery predictive thermal management mode. This achieves predictive control of battery thermal management for new energy vehicles in short-distance travel or about to reach their destination scenarios, avoiding unnecessary battery heating or cooling and reducing vehicle energy consumption. Attached Figure Description

[0048] 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. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without inventive effort. Wherein:

[0049] Figure 1 A schematic flowchart illustrating a battery thermal management method for a new energy vehicle provided in an embodiment of this application;

[0050] Figure 2 A schematic flowchart illustrating another battery thermal management method for new energy vehicles provided in this application embodiment;

[0051] Figure 3 A schematic diagram of the structure of a battery thermal management device for a new energy vehicle provided in an embodiment of this application;

[0052] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0053] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0054] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. 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] Current new energy vehicles typically employ a thermal management strategy that monitors the battery cell temperature. When the cell temperature triggers a certain threshold, the battery is heated or cooled until it reaches a set target temperature.

[0056] However, in certain scenarios, such as short-distance travel or when the vehicle is about to reach its destination, it may not be necessary to continue heating or cooling the battery during the remaining travel distance and time, since the vehicle will soon stop. Heating or cooling the battery until the end of the trip may increase unnecessary energy consumption.

[0057] Therefore, for existing new energy vehicles, the existing battery thermal management methods cause unnecessary battery heating or cooling in short-distance travel or when the vehicle is about to reach its destination, resulting in increased vehicle energy consumption.

[0058] To address the aforementioned issues, this application proposes a battery thermal management method for new energy vehicles. By predicting the remaining driving distance and duration of the target vehicle using navigation information, and combining the prediction results with the battery temperature, predictive management is performed to determine whether the battery should be heated or cooled. This method avoids unnecessary battery heating or cooling while ensuring battery safety, thereby reducing vehicle energy consumption.

[0059] The technical solution of the battery thermal management method for new energy vehicles provided in this application will be described in detail below through specific embodiments. It should be noted that the following embodiments may exist alone or in combination with each other, and the same or similar content may not be described again in different embodiments.

[0060] It should be noted that the execution subject of the battery thermal management method for new energy vehicles provided in this application embodiment can be a vehicle system or a cloud server. When the execution subject is a cloud server, the cloud server and the target vehicle communicate and connect through vehicle networking or other means.

[0061] Compared to in-vehicle infotainment systems, cloud servers possess higher computing and data processing capabilities. Therefore, compared to using in-vehicle infotainment systems as the execution source, using cloud servers as the execution source results in faster execution speeds, lower hardware requirements for the vehicle, and no additional vehicle costs.

[0062] The cloud server may store data related to multiple vehicles, and the VIN (Vehicle Identification Number) can be used as an identification index to store the data of the corresponding vehicle.

[0063] Figure 1 A flowchart illustrating a battery thermal management method for a new energy vehicle provided in this application embodiment is shown below. Figure 1 In some embodiments, the battery thermal management method for this new energy vehicle includes the following steps:

[0064] S101, based on navigation information, obtain the remaining driving distance and remaining driving time of the target vehicle from the destination, wherein the navigation information includes navigation route information and navigation speed information.

[0065] Among these, the remaining distance and time to the destination can be obtained through navigation information. Most existing navigation applications have the function of predicting the remaining distance and time, which is generally done by using navigation route information and navigation speed information.

[0066] Specifically, navigation route information includes data such as departure point, destination, driving route, navigation location, and road conditions. By using the target vehicle's navigation location and driving route, the remaining driving distance that the target vehicle has not yet traveled can be obtained.

[0067] Specifically, the navigation speed information includes the predicted speed based on the road conditions in the navigation information. Based on the remaining driving distance and the predicted speed, the remaining driving time can be obtained.

[0068] S102, when the remaining driving distance is less than a preset distance threshold and the remaining driving time is less than a first preset time threshold, control the target vehicle to enter the battery predictive thermal management mode.

[0069] The battery predictive thermal management mode includes stopping heating or cooling the battery when the cell temperature of the target vehicle's battery does not exceed a first preset temperature range; wherein the first preset temperature range does not exceed the battery's safe temperature range.

[0070] Specifically, if the remaining driving distance is less than a preset distance threshold and the remaining driving time is less than a first preset time threshold, it indicates that the target vehicle is about to reach its destination. To ensure battery safety, the temperature range for initiating battery heating or cooling is between the normal battery temperature range and the safe temperature range to prevent the battery temperature from exceeding the safe temperature range. Therefore, the first preset temperature range will not exceed the safe temperature range of the battery. If the cell temperature of the target vehicle's battery does not exceed the first preset temperature range, it indicates that the target vehicle's battery temperature is within the safe temperature range, and even if heating or cooling of the battery is stopped during subsequent driving, it will not affect battery safety.

[0071] Under the above conditions, heating or cooling the battery can be stopped. Since the target vehicle is about to reach its destination and the battery is within a safe temperature range, ceasing heating or cooling will not affect its safe use. Once the vehicle reaches its destination and is turned off, there is even less need to heat or cool the battery. This way, unnecessary battery heating or cooling can be reduced while ensuring battery safety, thus achieving the goal of reducing energy consumption.

[0072] In this embodiment, the remaining driving distance and remaining driving time of the target vehicle are obtained through navigation information. These remaining distances and times are used as criteria to determine whether the target vehicle is on a short-distance trip or about to reach its destination. If the target vehicle is on a short-distance trip or about to reach its destination, and the conditions for entering the battery predictive thermal management mode are met, unnecessary heating or cooling of the target vehicle's battery is stopped through this mode. This achieves predictive control of battery thermal management for new energy vehicles in short-distance trips or when the vehicle is about to reach its destination, avoiding unnecessary battery heating or cooling and reducing vehicle energy consumption.

[0073] In some embodiments, stopping the heating or cooling of the battery includes: controlling the target vehicle to no longer respond to battery thermal management requests when the battery is being heated or cooled; wherein the battery thermal management request includes a battery cooling request or a battery heating request; and controlling the target vehicle to no longer issue battery thermal management requests when the battery is not being heated or cooled.

[0074] In this embodiment, for new energy vehicles, battery thermal management is achieved through the cooperation of a Battery Management System (BMS) and a Battery Thermal Management System (BTMS). The BMS utilizes electronic technology, control strategies, and software algorithms to effectively monitor, protect, and manage the vehicle's power battery, primarily including functions such as battery status monitoring, equalization management, and fault diagnosis. Its main purpose is to ensure the safe and stable operation of the battery pack and extend its lifespan. The BTMS effectively manages the heat generated by the battery pack and mainly includes components such as cooling fans, heat exchangers, temperature sensors, coolant, and control units. Its main purpose is to control the battery to operate within a safe temperature range and ensure the high efficiency and lifespan of the battery pack.

[0075] Specifically, in the battery predictive thermal management mode, there are two situations in which the heating or cooling of the battery is stopped. One is when the battery is being heated or cooled, in which case the battery thermal management system of the target vehicle can be controlled to stop responding to the battery thermal management request, that is, the battery thermal management system will not continue the subsequent heating or cooling operation. The other is when the battery is not being heated or cooled, in which case the battery management system of the target vehicle can be controlled to stop sending the battery thermal management request to the battery thermal management system, that is, the heating or cooling of the battery is stopped by suppressing the subsequent battery thermal management request.

[0076] exist Figure 1 Based on the embodiments shown, the following is combined with Figure 2 The technical solutions for the battery thermal management methods of the aforementioned new energy vehicles will be further introduced.

[0077] Figure 2 A flowchart illustrating another battery thermal management method for new energy vehicles provided in this application embodiment is shown below. Figure 2 In some embodiments, the battery thermal management method for this new energy vehicle includes the following steps:

[0078] S201, based on navigation information, obtain the remaining driving distance and remaining driving time of the target vehicle from the destination, wherein the navigation information includes navigation route information and navigation speed information.

[0079] It should be noted that the execution process of step S201 is the same as that of step S101, and will not be repeated here.

[0080] S202, if the target vehicle meets any one of the conditions in the first preset condition set, or does not meet any one of the conditions in the second preset condition set, the target vehicle is prohibited from entering the battery predictive thermal management mode.

[0081] The first set of preset conditions includes the following: the target vehicle's battery management system is faulty; the target vehicle's vehicle thermal management system is faulty; the target vehicle is in an aggressive driving state; the battery's charge exceeds a preset charge threshold; the battery's cell temperature rise rate exceeds a preset temperature rise rate threshold; the ambient temperature of the target vehicle exceeds a second preset temperature range; the battery's cell temperature does not exceed the normal temperature range; and the target vehicle has exited the battery predictive thermal management mode and the exit duration is less than a second preset duration threshold.

[0082] The second set of preset conditions includes the target vehicle being ready to start, reliable navigation route information, reliable navigation speed information, and normal navigation information updates.

[0083] In this embodiment, the first preset condition set and the second preset condition set are used to determine whether the target vehicle meets the prerequisites for entering the battery predictive thermal management mode.

[0084] Specifically, a malfunction in the target vehicle's battery management system or vehicle thermal management system indicates that the vehicle is in a faulty state. In this state, normal thermal management of the battery cannot be guaranteed. If the vehicle were to enter predictive thermal management mode at this time, stopping battery heating or cooling, it might lead to problems affecting battery safety and normal vehicle operation due to improper battery heating or cooling. Therefore, if the target vehicle meets this condition, entering predictive thermal management mode should be prohibited.

[0085] Specifically, when the target vehicle is under aggressive driving conditions, the drastic changes in driving behavior indicate that the battery cell temperature will fluctuate dramatically. If the vehicle enters predictive thermal management mode at this time and stops cooling the battery, the cell temperature may rapidly rise beyond the safe range, compromising battery safety. Therefore, to ensure battery safety, the vehicle should not enter predictive thermal management mode when this condition is met.

[0086] Specifically, the battery level exceeds a preset threshold, indicating that the battery is fully charged or at a high charge level. At a high charge level, the battery generates greater current and power output. The battery's internal resistance, current, and material properties all contribute to heat generation, causing the battery to heat up rapidly. If the battery predictive thermal management mode is activated at this time, stopping battery cooling, the cell temperature may rise rapidly beyond the safe operating range, compromising battery safety. Therefore, to ensure battery safety, the vehicle should not enter battery predictive thermal management mode when this condition is met.

[0087] Specifically, if the battery cell temperature rise rate exceeds a preset threshold, the cell temperature rise rate, which reflects the rate of temperature change of the battery, indicates a rapid increase in battery temperature. If the battery predictive thermal management mode is entered at this point, stopping battery cooling, the cell temperature may rapidly rise beyond the safe temperature range, affecting battery safety. Therefore, to ensure battery safety, the vehicle should not enter battery predictive thermal management mode when this condition is met.

[0088] Specifically, if the ambient temperature of the target vehicle exceeds the second preset temperature range, indicating that the ambient temperature is outside the preset range (either too high or too low), entering the battery predictive thermal management mode at this time, and stopping the heating or cooling of the battery, may cause the battery temperature to rise or fall rapidly outside the safe temperature range due to excessively high or low ambient temperatures, affecting battery safety or normal vehicle operation. Therefore, to ensure battery safety and normal vehicle operation, the vehicle should not enter the battery predictive thermal management mode when this condition is met.

[0089] Specifically, if the battery cell temperature does not exceed the normal temperature range, it indicates that the battery temperature is within the normal range and there is no need to heat or cool the battery. Consequently, there is no need to stop heating or cooling the battery. Therefore, when this condition is met, there is no need to perform predictive thermal management on the battery, and of course, it is unnecessary to enter the battery predictive thermal management mode.

[0090] Specifically, if the target vehicle has exited the battery predictive thermal management mode and the exit duration is less than the second preset duration threshold, it indicates that the interval since the last use of the battery predictive thermal management mode is too short. Continuously entering the battery predictive thermal management mode may result in an excessively long period without heating or cooling the battery, causing the battery to fail to maintain its cell temperature within the normal range for an extended period, potentially leading to battery safety issues. Therefore, to ensure battery safety, vehicles are prohibited from entering the battery predictive thermal management mode when this condition is met.

[0091] Specifically, regarding the start-ready status of a target vehicle, in hybrid and pure electric vehicles, because the engine may not necessarily start after the vehicle is started, it is difficult for the user to determine whether the vehicle has started successfully without engine noise. Therefore, a "READY" indicator light is set on the vehicle's dashboard to indicate that the vehicle is ready to start. Thus, by collecting the start-ready signal of the target vehicle, it can be determined whether the vehicle is in a start-ready state. When the target vehicle is in a start-ready state, it indicates that the vehicle's self-check has no problems and the vehicle is operating normally. Meeting this condition can prevent safety or driving problems from occurring when the target vehicle enters the battery predictive thermal management mode.

[0092] Specifically, navigation route information is reliable because the remaining driving distance and time of the target vehicle are obtained based on this information. Therefore, the navigation route information can indirectly reflect the accuracy of the remaining driving distance and time. Thus, only when the navigation route information is reliable can the accuracy of the remaining driving distance and time be guaranteed, ensuring that the target vehicle enters the battery predictive thermal management mode at the correct time.

[0093] Specifically, the navigation speed information is reliable because the remaining driving time of the target vehicle is estimated based on the remaining driving distance and the predicted speed. Therefore, the navigation speed information can indirectly reflect the accuracy of the remaining driving time. Thus, only when the navigation speed information is reliable can the accuracy of the remaining driving time be guaranteed, ensuring that the target vehicle enters the battery predictive thermal management mode at the correct time.

[0094] Specifically, for navigation information to update normally, the target vehicle needs to rely on navigation information to determine the remaining driving distance and remaining driving time to decide when to enter the battery predictive thermal management mode. Therefore, only when the navigation information updates normally can the accuracy of the remaining driving distance and remaining driving time be guaranteed, ensuring that the target vehicle can enter the battery predictive thermal management mode at the correct time.

[0095] Preferably, the method for determining that the target vehicle is in an aggressive driving state includes: obtaining the rate of change of the accelerator pedal of the target vehicle within a preset time range; obtaining the number of times the rate of change exceeds a preset rate of change threshold; and determining that the target vehicle is in an aggressive driving state when the number of times exceeds a preset number threshold.

[0096] Specifically, when a target vehicle is in an aggressive driving state, the accelerator pedal will move violently, which will be reflected in the data as a dramatic change in the rate of change of the accelerator pedal. Therefore, determining whether a target vehicle is in an aggressive driving state involves statistically analyzing the rate of change of the accelerator pedal to determine whether the target vehicle is in an aggressive driving state.

[0097] If the rate of change of the accelerator pedal exceeds the set threshold multiple times within a preset time range, it indicates that the accelerator pedal has been violently activated multiple times within the preset time range, and the target vehicle is in a state of violent driving.

[0098] Specifically, the preset time range is to collect accelerator pedal change data within a certain historical time range, with the current moment as the node.

[0099] Preferably, the method for determining the reliability of navigation route information includes: obtaining the total distance of the target vehicle from the origin to the destination based on the navigation route information; obtaining the predicted driving distance based on the difference between the total distance and the remaining driving distance; integrating the actual speed of the target vehicle in the historical driving data over time to obtain the actual driving distance; and determining the reliability of the navigation route information if the deviation between the predicted driving distance and the actual driving distance does not exceed a first preset deviation range.

[0100] The timing of entering the battery predictive thermal management mode is determined by the remaining driving distance and remaining driving time obtained from navigation information. Therefore, accurate and reliable remaining driving distance and remaining driving time are essential for the target vehicle to enter the battery predictive thermal management mode at the correct time.

[0101] The navigation route information of the target vehicle can reflect the accuracy of the remaining driving distance and remaining driving time in the navigation information. When the deviation between the predicted driving distance and the actual driving distance does not exceed the first preset deviation range, it indicates that the predicted driving distance in the navigation information is within a reliable range. Correspondingly, the remaining driving distance and remaining driving time obtained from the navigation information are also within a reliable range. At this time, the remaining driving distance and remaining driving time will also be able to correctly reflect the timing of entering the battery predictive thermal management mode.

[0102] Preferably, the method for determining the reliability of navigation speed information includes: obtaining the predicted speed of the target vehicle based on the navigation speed information; and determining the reliability of the navigation speed information if the deviation between the predicted speed and the actual speed of the target vehicle does not exceed a second preset deviation range.

[0103] The timing of entering the battery predictive thermal management mode is determined by the remaining driving distance and remaining driving time obtained from the navigation information. Therefore, accurate and reliable remaining driving distance and remaining driving time are essential for the target vehicle to enter the battery predictive thermal management mode at the correct time.

[0104] The target vehicle's navigation speed information reflects the accuracy of the remaining driving time indicated by the navigation information. When the deviation between the predicted speed and the actual speed does not exceed a second set deviation range, it indicates that the predicted speed in the navigation speed information is within a reliable range. The remaining driving time is obtained by comparing the remaining driving distance with the predicted speed. Consequently, the remaining driving time obtained from the navigation information is also within a reliable range. At this point, the remaining driving time can accurately reflect whether it is the right time to enter the battery predictive thermal management mode.

[0105] Preferably, the method for determining that the navigation information update is normal includes: obtaining the interval between the update time of the navigation information and the current time, and determining that the navigation information update is normal if the interval does not exceed a third preset time threshold.

[0106] Specifically, the system determines whether the navigation information is updating normally by measuring the interval between its update time and the current time. If the interval exceeds a third preset threshold, it indicates that the navigation information has failed to update outside the expected update interval, and is therefore considered not to have updated normally. If the interval does not exceed the third preset threshold, it indicates that the navigation information has updated within the expected update interval, and is therefore considered to have updated normally.

[0107] Accurate navigation information is only obtained when navigation information is updated normally, which allows for accurate determination of the remaining driving distance and duration, and thus, whether the target vehicle meets the conditions for entering battery predictive energy management.

[0108] S203, when the remaining driving distance is less than a preset distance threshold and the remaining driving time is less than a first preset time threshold, control the target vehicle to enter the battery predictive thermal management mode.

[0109] The battery predictive thermal management mode includes stopping heating or cooling the battery when the cell temperature of the target vehicle's battery does not exceed a first preset temperature range; wherein the first preset temperature range does not exceed the battery's safe temperature range.

[0110] It should be noted that the execution process of step S203 is the same as that of step S102, and will not be repeated here.

[0111] S204, if the target vehicle meets any one of the conditions in the first preset condition set, or does not meet any one of the conditions in the second preset condition set, control the target vehicle to exit the battery predictive thermal management mode.

[0112] It should be noted that the execution process of step S204 is the same as that of step S202, and will not be repeated here.

[0113] After the target vehicle enters the battery predictive thermal management mode, it is necessary to continue to determine whether the target vehicle meets the relevant conditions in the first preset condition set and the second preset condition set, so as to ensure that the target vehicle can exit the battery predictive thermal management mode if the conditions for maintaining the battery predictive thermal management mode are not met, so as to ensure battery safety and normal vehicle operation.

[0114] S205: Obtain the duration of entering the battery predictive thermal management mode; if the duration exceeds the fourth preset duration threshold, or if the target vehicle reaches its destination, control the target vehicle to exit the battery predictive thermal management mode.

[0115] Specifically, after the target vehicle enters the battery predictive thermal management mode, the duration of this mode must be monitored. If the duration exceeds a fourth preset threshold, the target vehicle will be controlled to exit the battery predictive thermal management mode. This is to prevent the battery from being in a state where heating or cooling is stopped for extended periods, which could compromise battery safety.

[0116] In addition, once the target vehicle reaches its destination, it is also controlled to exit the battery predictive thermal management mode, because at this time the target vehicle has completed its journey and there is no need to perform predictive thermal management on the battery anymore.

[0117] In this embodiment, after the target vehicle enters the battery predictive thermal management mode, it stops heating or cooling the battery, but the vehicle will continue to travel the remaining distance. To ensure battery safety and normal vehicle operation, this embodiment adds a series of judgment conditions to determine when the target vehicle enters or exits the battery predictive thermal management mode. This ensures that the vehicle enters the battery predictive thermal management mode only after confirming battery safety, and exits the mode at an appropriate time after stopping battery heating or cooling, thus guaranteeing battery safety and normal vehicle operation.

[0118] Figure 3 This is a schematic diagram of the structure of a battery thermal management device for a new energy vehicle provided in an embodiment of this application. (See attached diagram.) Figure 3 The battery thermal management device for the new energy vehicle includes various functional modules for implementing the aforementioned battery thermal management method for the new energy vehicle. Any functional module can be implemented by software and / or hardware.

[0119] In some embodiments, the battery thermal management device 300 for a new energy vehicle includes an information acquisition module 301 and a thermal management module 302. Wherein:

[0120] The information acquisition module 301 is used to acquire the remaining driving distance and remaining driving time of the target vehicle from the destination based on navigation information, wherein the navigation information includes navigation route information and navigation speed information;

[0121] The thermal management module 302 is used to control the target vehicle to enter the battery predictive thermal management mode when the remaining driving distance is less than a preset distance threshold and the remaining driving time is less than a first preset time threshold.

[0122] Among them, the battery predictive thermal management modes include:

[0123] If the cell temperature of the target vehicle's battery does not exceed a first preset temperature range, the heating or cooling of the battery shall be stopped; wherein the first preset temperature range does not exceed the battery's safe temperature range.

[0124] In some embodiments, the thermal management module 302 is specifically used for:

[0125] When the battery is heating or cooling, the target vehicle is no longer controlled to respond to battery thermal management requests; these requests include either battery cooling requests or battery heating requests.

[0126] If the battery is not heated or cooled, the target vehicle will no longer issue battery thermal management requests.

[0127] In some embodiments, the thermal management module 302 is specifically used for:

[0128] If the target vehicle meets any one of the conditions in the first preset condition set, or does not meet any one of the conditions in the second preset condition set, the target vehicle is prohibited from entering the battery predictive thermal management mode.

[0129] The first set of preset conditions includes the following: the target vehicle's battery management system is faulty; the target vehicle's vehicle thermal management system is faulty; the target vehicle is in an aggressive driving state; the battery's charge exceeds a preset charge threshold; the battery's cell temperature rise rate exceeds a preset temperature rise rate threshold; the ambient temperature of the target vehicle exceeds a second preset temperature range; the battery's cell temperature does not exceed the normal temperature range; and the target vehicle has exited the battery predictive thermal management mode and the exit duration is less than a second preset duration threshold.

[0130] The second set of preset conditions includes the target vehicle being ready to start, reliable navigation route information, reliable navigation speed information, and normal navigation information updates.

[0131] In some embodiments, the thermal management module 302 is specifically used for:

[0132] Obtain the rate of change of the accelerator pedal of the target vehicle within a preset time range;

[0133] Obtain the number of times the rate of change exceeds a preset rate of change threshold;

[0134] If the number of counts exceeds a preset threshold, the target vehicle is determined to be in an aggressive driving state.

[0135] In some embodiments, the thermal management module 302 is specifically used for:

[0136] The total distance traveled by the target vehicle from its origin to its destination is obtained based on navigation route information;

[0137] The predicted driving distance is obtained based on the difference between the total distance traveled and the remaining driving distance.

[0138] The actual speed of the target vehicle in the historical driving data is integrated over time to obtain the actual driving distance;

[0139] If the deviation between the predicted driving distance and the actual driving distance does not exceed the first preset deviation range, the navigation route information is determined to be reliable.

[0140] In some embodiments, the thermal management module 302 is specifically used for:

[0141] The predicted speed of the target vehicle is obtained based on navigation speed information;

[0142] If the deviation between the predicted vehicle speed and the actual speed of the target vehicle does not exceed the second preset deviation range, the navigation speed information is deemed reliable.

[0143] In some embodiments, the thermal management module 302 is specifically used for:

[0144] If the interval between the update time of the navigation information and the current time does not exceed the third preset time threshold, the navigation information update is considered normal.

[0145] In some embodiments, the thermal management module 302 is specifically used for:

[0146] If the target vehicle meets any one of the conditions in the first preset condition set, or does not meet any one of the conditions in the second preset condition set, the target vehicle is controlled to exit the battery predictive thermal management mode.

[0147] In some embodiments, the thermal management module 302 is specifically used for:

[0148] Obtain the duration of entry into battery predictive thermal management mode;

[0149] If the duration of the battery prediction thermal management mode exceeds the fourth preset duration threshold, or if the target vehicle reaches its destination, the target vehicle will be controlled to exit the battery prediction thermal management mode.

[0150] The battery thermal management device 300 for new energy vehicles provided in this application embodiment is used to execute the technical solution provided in the aforementioned battery thermal management method embodiment for new energy vehicles. Its implementation principle and technical effects are similar to those in the aforementioned method embodiment, and will not be repeated here.

[0151] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing elements, entirely in hardware, or partially in software via processing elements and partially in hardware. For example, the thermal management module can be a separate processing element, or it can be integrated into a chip within the device. Alternatively, it can be stored as program code in the device's memory, invoked and executed by a processing element. The implementation of other modules is similar. Moreover, these modules can be fully or partially integrated together, or implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. During implementation, each step of the above method or each of the above modules can be completed through integrated logic circuits in the processor element or through software instructions.

[0152] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. (See attached diagram.) Figure 4 The electronic device 300 includes: a processor 401, and a memory 402 communicatively connected to the processor 401;

[0153] Memory 402 stores instructions executed by the computer;

[0154] The processor 401 executes computer execution instructions stored in the memory 402 to implement the aforementioned technical solution of the battery thermal management method for new energy vehicles.

[0155] In the aforementioned electronic device, the memory 402 and the processor 401 are electrically connected directly or indirectly to achieve data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines, such as bus connections. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be classified as address buses, data buses, control buses, etc., but this does not mean that there is only one bus or one type of bus. The memory 402 stores computer execution instructions for implementing the aforementioned battery thermal management method for new energy vehicles, including at least one software functional module that can be stored in the memory 402 in the form of software or firmware. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402.

[0156] The memory 402 includes at least one type of readable storage medium, not limited to Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), etc. The memory 402 stores programs, which are executed by the processor upon receiving execution instructions. Furthermore, the software programs and modules within the memory 402 may also include an operating system, which may include various software components and / or drivers for managing system tasks (e.g., memory management, storage device control, power management, etc.) and can communicate with various hardware or software components to provide an operating environment for other software components.

[0157] Processor 401 can be an integrated circuit chip with signal processing capabilities. The aforementioned processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor, or processor 401 can be any conventional processor.

[0158] The electronic device 300 is used to execute the technical solution provided in the aforementioned embodiment of the battery thermal management method for new energy vehicles. Its implementation principle and technical effect are similar to those in the aforementioned method embodiment, and will not be repeated here.

[0159] This application also provides a computer-readable storage medium storing computer-executable instructions. When a processor executes the computer-executable instructions, it implements the aforementioned technical solution for the battery thermal management method of new energy vehicles.

[0160] The aforementioned computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The computer-readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0161] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Alternatively, the readable storage medium can be an integral part of the processor. Both the processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the control device of a battery thermal management system in a new energy vehicle.

[0162] This application also provides a computer program product, including a computer program, which, when executed by a processor, is used to implement the aforementioned technical solution for the battery thermal management method of new energy vehicles.

[0163] In the above embodiments, those skilled in the art will understand that the above method embodiments can be implemented entirely or partially by software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented entirely or partially in the form of a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless network, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)).

[0164] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0165] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A battery thermal management method for a new energy vehicle, characterized in that, The method comprises: obtaining a remaining driving distance and a remaining driving time of a target vehicle based on navigation information, and prohibiting the target vehicle from entering a battery predictive thermal management mode in a case where the target vehicle meets any one of a first preset condition set or does not meet any one of a second preset condition set; wherein the navigation information comprises navigation route information and navigation speed information; the second preset condition set comprises that the navigation route information is reliable; a method for determining that the navigation route information is reliable comprises: obtaining a total distance of a route from a starting point to a destination of the target vehicle based on the navigation route information; obtaining a predicted driving distance based on a difference between the total distance of the route and the remaining driving distance; integrating actual speeds in the historical driving data of the target vehicle in time to obtain an actual driving distance; and determining that the navigation route information is reliable in a case where a deviation between the predicted driving distance and the actual driving distance does not exceed a first preset deviation range; controlling the target vehicle to enter the battery predictive thermal management mode in a case where the remaining driving distance is less than a preset distance threshold and the remaining driving time is less than a first preset time threshold. The battery predictive thermal management mode comprises: stopping heating or cooling of the battery in a case where a cell temperature of the battery of the target vehicle does not exceed a first preset temperature range; wherein the first preset temperature range does not exceed a safe temperature range of the battery.

2. The method of claim 1, wherein, The stopping of the heating or cooling of the battery comprises: controlling the target vehicle to no longer respond to a battery thermal management request in a case where the battery is being heated or cooled; wherein the battery thermal management request comprises a battery cooling request or a battery heating request; controlling the target vehicle to no longer issue a battery thermal management request in a case where the battery is not being heated or cooled.

3. The method of claim 1, wherein wherein the first preset condition set comprises that a battery management system of the target vehicle is faulty, a vehicle thermal management system of the target vehicle is faulty, the target vehicle is in an intense driving state, an electric quantity of the battery exceeds a preset electric quantity threshold, a cell temperature rise rate of the battery exceeds a preset temperature rise rate threshold, an ambient temperature in which the target vehicle is located exceeds a second preset temperature range, the cell temperature of the battery does not exceed a normal temperature range, the target vehicle has exited the battery predictive thermal management mode and an exit duration is less than a second preset time threshold; and the second preset condition set further comprises that the target vehicle is ready to start, the navigation speed information is reliable, and the navigation information is updated normally.

4. The method of claim 3, wherein, The method for determining that the target vehicle is in the intense driving state comprises: obtaining a change rate of an accelerator pedal of the target vehicle in a preset time range; obtaining a statistical number of times that the change rate exceeds a preset change rate threshold; determining that the target vehicle is in the intense driving state in a case where the statistical number of times exceeds a preset number threshold.

5. The method of claim 3, wherein, The method for determining that the navigation speed information is reliable comprises: obtaining a predicted speed of the target vehicle based on the navigation speed information; In a case where a deviation value of the predicted vehicle speed and an actual vehicle speed of the target vehicle does not exceed a second preset deviation range, it is determined that the navigation vehicle speed information is reliable.

6. The method of claim 3, wherein, The navigation information update normality determination method comprises: An interval duration between an update time of the navigation information and a current time is obtained, and in a case where the interval duration does not exceed a third preset duration threshold, it is determined that the navigation information is updated normally.

7. The method of claim 3, wherein, After controlling the target vehicle to enter the battery predictive thermal management mode, the method further comprises: In a case where the target vehicle meets any one condition in the first preset condition set or does not meet any one condition in the second preset condition set, the target vehicle is controlled to exit the battery predictive thermal management mode.

8. The method of claim 1, wherein, After controlling the target vehicle to enter the battery predictive thermal management mode, the method further comprises: An entering duration of entering the battery predictive thermal management mode is obtained; In a case where the entering duration exceeds a fourth preset duration threshold or the target vehicle reaches a destination, the target vehicle is controlled to exit the battery predictive thermal management mode.

9. A battery thermal management device for a new energy vehicle, characterized in that, The method comprises: An information acquisition module is configured to acquire a remaining driving distance and a remaining driving duration of a target vehicle from a destination based on navigation information, and in a case where the target vehicle meets any one condition in a first preset condition set or does not meet any one condition in a second preset condition set, the target vehicle is prohibited from entering a battery predictive thermal management mode; the navigation information comprises navigation route information and navigation vehicle speed information; the second preset condition set comprises that the navigation route information is reliable; a determination method of the navigation route information being reliable comprises: acquiring a total distance of a route from a starting point to a destination of the target vehicle based on the navigation route information; obtaining a predicted driving distance based on a difference between the total distance and the remaining driving distance; integrating actual vehicle speeds in historical driving data of the target vehicle in time to obtain an actual driving distance; and in a case where a deviation value of the predicted driving distance and the actual driving distance does not exceed a first preset deviation range, it is determined that the navigation route information is reliable; A thermal management module is configured to control the target vehicle to enter the battery predictive thermal management mode in a case where the remaining driving distance is less than a preset distance threshold and the remaining driving duration is less than a first preset duration threshold. The battery predictive thermal management mode comprises: In a case where a cell temperature of a battery of the target vehicle does not exceed a first preset temperature range, heating or cooling of the battery is stopped; the first preset temperature range does not exceed a safety temperature range of the battery.

10. An electronic device, comprising: The method comprises a processor and a memory connected to the processor in communication; The memory stores computer execution instructions; The processor executes the computer execution instructions stored in the memory to implement the method according to any one of claims 1 to 8.

11. A computer readable storage medium, characterized in that, The computer readable storage medium stores computer execution instructions, and the computer execution instructions are executed by the processor to implement the method according to any one of claims 1 to 8.

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