Heating method, device and equipment in vehicle and storage medium

Abstract

The embodiment of the invention relates to the technical field of vehicle control, and discloses a heating method, device and equipment in a vehicle and a storage medium, the method comprises the following steps: determining a battery heating demand level based on a current power consumption scene and battery performance and state attributes, the battery performance and state attributes comprising at least one of a battery cell temperature and a battery remaining capacity, the power utilization scene comprises at least one of a fast charging scene, a slow charging scene, a charging addressing scene and a conventional driving scene; based on the cabin thermal management demand signal, determining a cabin heating demand level; determining a target power distribution strategy based on the battery heating demand level and the cabin heating demand level; and regulating and controlling the power output of the battery heating assembly and the cabin heating assembly according to the target power distribution strategy. By applying the technical scheme of the invention, the technical problem of insufficient matching degree between the thermal management energy distribution strategy and the actual working condition demand of the battery in the prior art can be solved.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of vehicle control, in particular to a heating method, device, equipment and storage medium in a vehicle. BACKGROUND

[0002] When a new energy vehicle operates in a low temperature environment, it needs to meet two core thermal management requirements of battery heating and cabin heating. Since the energy of the whole vehicle comes from the limited capacity of the power battery, both battery heating and cabin heating are high-power components. In the prior art, the energy distribution strategy mostly adopts fixed priority logic (such as cabin safety > battery heating > cabin other functions) or simple temperature threshold control, and does not fully consider the specific performance limitations and requirement level differences of the power battery under different low temperature conditions. When the battery heating requirement is high, the power performance may be reduced, the charging efficiency may be reduced, and even the battery health may be attenuated due to insufficient energy distribution; and when the battery heating requirement is low, the cabin comfort may be affected due to excessive restriction of heating power. SUMMARY

[0003] In view of the above problems, embodiments of the present application provide a heating method, device, equipment and storage medium in a vehicle, to solve the technical problem of insufficient matching between the thermal management energy distribution strategy and the actual working condition requirement of the battery in the prior art.

[0004] According to an aspect of an embodiment of the present application, a heating method in a vehicle is provided, the method comprising:

[0005] determining a battery heating requirement level based on a current power consumption scenario and battery performance and state attributes, the battery performance and state attributes including at least one of a cell temperature and a battery remaining capacity, and the power consumption scenario including at least one of a fast charging scenario, a slow charging scenario, a charging addressing scenario and a regular driving scenario;

[0006] determining a cabin heating requirement level based on a cabin thermal management requirement signal;

[0007] determining a target power distribution strategy based on the battery heating requirement level and the cabin heating requirement level;

[0008] controlling power output of a battery heating component and a cabin heating component according to the target power distribution strategy.

[0009] According to another aspect of an embodiment of the present application, a heating device in a vehicle is provided, comprising:

[0010] The first determining module is configured to determine a battery heating demand level based on a current power consumption scenario and battery performance and state attributes, wherein the battery performance and state attributes include at least one of a battery cell temperature and a battery remaining capacity, and the power consumption scenario includes at least one of a fast charging scenario, a slow charging scenario, a charging addressing scenario and a regular driving scenario.

[0011] The second determining module is configured to determine a cabin heating demand level based on a cabin thermal management demand signal.

[0012] The third determining module is configured to determine a target power distribution strategy based on the battery heating demand level and the cabin heating demand level.

[0013] The regulating module is configured to regulate power outputs of the battery heating assembly and the cabin heating assembly according to the target power distribution strategy.

[0014] According to another aspect of the embodiments of the present application, a heating device in a vehicle is provided, which comprises:

[0015] A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus.

[0016] The memory is configured to store at least one executable instruction, and the executable instruction causes the processor to perform the operations of the heating method in a vehicle as described above.

[0017] According to still another aspect of the embodiments of the present application, a computer readable storage medium is provided, wherein the storage medium stores at least one executable instruction, and the executable instruction causes the heating device / apparatus in a vehicle to perform the operations of the heating method in a vehicle as described above.

[0018] The embodiments of the present application dynamically adjust the power distribution strategy according to the current power consumption scenario and the battery state, and adapt to different working condition requirements. By dynamically adjusting the power distribution, the thermal management energy distribution is highly matched with the actual working condition requirements of the battery, which can effectively solve the problem of insufficient matching between the thermal management energy distribution strategy and the actual working condition requirements of the battery in the prior art, improve the energy utilization efficiency, and improve the user experience.

[0019] The above description is only a summary of the technical solutions of the embodiments of the present application, in order to more clearly understand the technical means of the embodiments of the present application, the embodiments of the present application can be implemented according to the content of the specification, and in order to make the above and other purposes, characteristics and advantages of the embodiments of the present application more obvious and easy to understand, the specific embodiments of the present application are described below. BRIEF DESCRIPTION OF DRAWINGS

[0020] The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification. The drawings are not intended to be restrictive in any way. In the drawings:

[0021] Figure 1 A flowchart of a first embodiment of the method for heating in a vehicle is shown;

[0022] Figure 2 A flowchart of a second embodiment of the method for heating in a vehicle is shown;

[0023] Figure 3 A schematic diagram of the mapping relationship between the power usage scenario, the battery performance and state attribute, and the battery heating demand level is shown;

[0024] Figure 4 A schematic diagram of the architecture of the vehicle energy management is shown;

[0025] Figure 5 A schematic diagram of an embodiment of the heating device in a vehicle is shown;

[0026] Figure 6 A schematic diagram of an embodiment of the heating device in a vehicle is shown;

[0027] Figure 7 A schematic diagram of an embodiment of the vehicle is shown. DETAILED DESCRIPTION

[0028] Exemplary embodiments of the present application will be described herein below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it is understood that the present application can be embodied in various forms and should not be limited by the embodiments set forth herein.

[0029] Figure 1 A flowchart of a first embodiment of the method for heating in a vehicle is shown, which can be executed by one or more controllers in the vehicle. As shown in Figure 1 The method comprises the following steps:

[0030] Step 110: determining a battery heating demand level based on a current power usage scenario and a battery performance and state attribute, the battery performance and state attribute comprising at least one of a cell temperature and a battery remaining capacity, and the power usage scenario comprising at least one of a fast charging scenario, a slow charging scenario, a charging addressing scenario, and a regular driving scenario.

[0031] The charging addressing scenario refers to a scenario in which a vehicle navigation system is used to find and go to a charging station when the battery needs to be charged due to insufficient battery power; the fast charging scenario refers to a scenario in which fast charging equipment is used for charging; the slow charging scenario refers to a scenario in which slow charging equipment is used for charging; and the regular driving scenario refers to a scenario in which the vehicle is normally driven according to daily driving needs in a non-charging state, and does not involve navigation or going to a charging station related to charging.

[0032] In this step, the current temperature of the battery cell can be monitored in real time by a temperature sensor. The remaining power (SOC) of the battery is monitored in real time by a battery management system (BMS). According to the current power consumption scenario and the battery performance and state attributes, the battery heating demand level is dynamically determined.

[0033] Step 120: Determine the cabin heating demand level based on the cabin thermal management demand signal.

[0034] In this step, the cabin heating demand level is dynamically determined according to the cabin thermal management demand signal.

[0035] Step 130: Determine the target power distribution strategy based on the battery heating demand level and the cabin heating demand level.

[0036] In this step, the power distribution strategy is dynamically determined according to the battery heating demand level and the cabin heating demand level.

[0037] Step 140: Regulate the power output of the battery heating assembly and the cabin heating assembly according to the target power distribution strategy.

[0038] In this step, the power output of the battery heating assembly and the cabin heating assembly is regulated according to the determined target power distribution strategy. For example, if the battery heating demand level is higher than the cabin heating demand level, the power is preferentially allocated to the battery heating assembly; if the cabin heating demand level is higher than the battery heating demand level, the power is preferentially allocated to the cabin heating assembly.

[0039] The embodiment of the present application dynamically adjusts the power distribution strategy according to the current power consumption scenario and the battery state, and adapts to different working condition requirements. By dynamically adjusting the power distribution, the thermal management energy distribution is highly matched with the actual working condition requirements of the battery, which can effectively solve the problem of insufficient matching between the thermal management energy distribution strategy and the actual working condition requirements of the battery in the prior art, improve the energy utilization efficiency, and improve the user experience.

[0040] Figure 2 A flowchart of another embodiment of a heating method in a vehicle of the present application is shown, which can be performed by one or more controllers in the vehicle. As shown in Figure 2 The method includes the following steps:

[0041] Step 210: Determine the battery heating demand level based on the current power consumption scenario and the battery performance and state attributes, including at least one of the cell temperature and the battery remaining capacity, and the power consumption scenario including at least one of the fast charging scenario, the slow charging scenario, the charging addressing scenario, and the regular driving scenario.

[0042] The battery heating demand level refers to the quantitative evaluation result of the intensity of the battery heating demand according to the performance and state attributes of the battery (such as cell temperature, battery remaining capacity, etc.) and the current power consumption scenario (such as fast charging, slow charging, charging addressing, regular driving, etc.). It can be a numerical value or a level, which is used to represent the urgency and intensity of the battery heating demand in the current state.

[0043] The power consumption scenario includes but is not limited to fast charging scenario, slow charging scenario, charging addressing scenario, and regular driving scenario, etc. Different power consumption scenarios have different effects on battery heating demand. For example, in the fast charging scenario, in order to ensure the efficiency and safety of fast charging, the battery may require a higher heating demand level.

[0044] In an optional manner, the battery heating demand level is determined based on the current power consumption scenario and the battery performance and state attributes, which can include the following steps:

[0045] Based on the current power consumption scenario and the battery performance and state attributes, the mapping relationship between the preset power consumption scenario, the battery performance and state attributes, and the battery heating demand level is queried.

[0046] Based on the query result, the current battery heating demand level is determined, and each battery heating demand level corresponds to a different performance limitation state of the battery in a low temperature environment, including at least one of the discharge prohibition state, the charging prohibition state, the discharge power limitation state, and the charging rate limitation state.

[0047] The mapping relationship is pre-established according to a large amount of experimental data and actual application experience, which is used to match different power consumption scenarios and battery performance and state attributes with corresponding battery heating demand levels.

[0048] The battery heating demand levels correspond to different performance limitation states of the battery in a low-temperature environment, including but not limited to a discharge prohibition state, a charging prohibition state, a discharge power limitation state, and a charging rate limitation state, etc. The discharge prohibition state refers to a state in which the battery is prohibited from discharging in order to protect the battery from the low-temperature environment. The charging prohibition state refers to a state in which the battery is prohibited from charging in order to protect the battery from the low-temperature environment. The discharge power limitation state refers to a state in which the discharge power of the battery is limited in order to protect the battery from the low-temperature environment. The charging rate limitation state refers to a state in which the charging rate of the battery is limited in order to protect the battery from the low-temperature environment. This is to protect the battery in a low-temperature environment and avoid incomplete chemical reactions inside the battery, which can cause the battery to degrade or be damaged.

[0049] Referring to Figure 3 The mapping relationship between the battery heating demand levels and the battery performance and state attributes provided by the present application is shown in the schematic diagram of FIG. 1. The mapping relationship between the battery heating demand levels and the battery cell temperature, the battery remaining capacity, and different power consumption scenarios (fast charging, slow charging, charging addressing, and regular driving scenarios) is shown in the diagram. This mapping relationship is used to determine the degree of demand for battery heating under certain conditions. The battery heating demand levels are represented by numbers 1 to 5, with larger numbers indicating more urgent heating demand. For example, level 5 represents the highest heating demand, while level 1 represents the lowest heating demand. In the temperature range of -40 to -23°C, the heating demand level in the fast charging and slow charging scenarios is 5 regardless of the battery remaining capacity, indicating that battery heating is very urgent in this extreme low temperature. In the temperature range of -23 to -17°C, if the battery remaining capacity is ≤15%, the heating demand level in the fast charging and slow charging scenarios is 4, while when the battery remaining capacity is >15%, the heating demand level is 3. In the temperature range of -17 to -12°C, if the battery remaining capacity is ≤15%, the heating demand levels in the fast charging and slow charging scenarios are 3 and 1, respectively, while when the battery remaining capacity is >15%, the heating demand levels are 2 and 1, respectively. In the temperature range of -12 to -35°C, the heating demand levels in the fast charging and slow charging scenarios are 2 and 1, respectively, regardless of the battery remaining capacity, indicating that the battery heating demand is relatively low in this temperature range. This mapping relationship helps to quickly determine the battery heating demand level based on the current battery cell temperature, battery remaining capacity, and power consumption scenario.

[0050] Step 220: Determine the cabin heating demand level based on the cabin thermal management demand signal.

[0051] The cabin heating demand level is an index for quantifying the intensity of the cabin heating demand.

[0052] In an alternative way, the cabin heating demand level is determined based on the cabin thermal management demand signal, which can specifically include the following steps:

[0053] If the cabin thermal management demand signal is a defrosting and demisting demand signal, the first level is determined as the current cabin heating demand level, the defrosting and demisting demand signal refers to a signal for removing frost or mist on the windshield or window;

[0054] If the cabin thermal management demand signal is a comfort heating demand signal, the second level is determined as the current cabin heating demand level, the first level has a higher priority than the second level, and the comfort heating demand signal refers to a signal for raising the temperature in the cabin to a target temperature, except for the defrosting and demisting demand signal.

[0055] In this embodiment, the defrosting and demisting demand signal is used to indicate the need to remove frost or mist on the windshield or window. In this case, the cabin heating demand level should be set to the first level (e.g. level 3) to ensure the driver's clear vision and ensure driving safety. The comfort heating demand signal is used to indicate the need to raise the temperature in the cabin to a target temperature to improve passenger comfort. In this case, the cabin heating demand level should be set according to the actual needs (e.g. level 2), but has a lower priority than the defrosting and demisting demand.

[0056] Through the method of the present application, the cabin heating demand level can be flexibly determined according to the different cabin thermal management demand signals. This flexibility helps to optimize the energy efficiency and thermal management performance of the vehicle while ensuring driving safety and passenger comfort.

[0057] Step 230: If the battery heating demand level does not meet the preset level condition, compare the battery heating demand level and the cabin heating demand level.

[0058] In this step, if the battery heating demand level does not meet the preset level condition, the battery heating demand level and the cabin heating demand level are compared to determine which heating demand is more urgent.

[0059] Step 240: If the comparison result indicates that the battery heating demand level and the cabin heating demand level are the same, the first power distribution strategy is determined as the target power distribution strategy, otherwise the second power distribution strategy is determined as the target power distribution strategy.

[0060] The first power distribution strategy is: when the demand power of the cabin heating assembly does not exceed the current available power, a part of the current available power equal to the demand power is distributed to the cabin heating assembly for cabin heating, and the remaining available power is distributed to the battery heating assembly for battery heating. The second power distribution strategy is: when the demand power of the heating assembly with high priority does not exceed the current available power, a part of the current available power equal to the demand power is distributed to the heating assembly with high priority, and the remaining available power is distributed to the heating assembly with low priority.

[0061] In this step, if the battery heating demand level is the same as the cabin heating demand level, it indicates that the heating demands of the two are equally important. At this time, the first power distribution strategy is adopted, and a part of the current available power equal to the demand power of the cabin heating assembly is distributed to the cabin heating assembly for cabin heating, and the remaining available power is distributed to the battery heating assembly for battery heating. If the battery heating demand level is different from the cabin heating demand level, it indicates that one of the heating demands is more urgent. At this time, the second power distribution strategy is adopted, and a part of the current available power equal to the demand power of the heating assembly with high priority (i.e., the component with a higher demand level) is distributed to the heating assembly with high priority, and the remaining available power is distributed to the heating assembly with low priority.

[0062] In an optional manner, the vehicle heating method can further include the following steps:

[0063] If the battery heating demand level satisfies a preset first level condition in the preset level conditions, a third power distribution strategy is determined as the target power distribution strategy, the third power distribution strategy is: the current available power is distributed to the battery heating assembly for battery heating according to a preset proportion, and the remaining available power is distributed to the cabin heating assembly for cabin heating, and the preset first level condition is: the priority of the battery heating demand level is higher than a preset level threshold.

[0064] In this embodiment, the preset level conditions include the preset first level condition, and the third power distribution strategy is adopted when the battery heating demand level satisfies the preset first level condition. This strategy distributes the current available power to the battery heating assembly according to a preset proportion to quickly raise the battery temperature, and the remaining available power is distributed to the cabin heating assembly to maintain the comfort of the cabin.

[0065] In an optional manner, the vehicle heating method can further include the following steps:

[0066] If the battery heating demand level satisfies a preset second level condition in the preset level conditions, a fourth power distribution strategy is determined as the target power distribution strategy.

[0067] The fourth power distribution strategy is: when the demand power of the battery heating assembly does not exceed the current available power, the part of the current available power equal to the demand power of the battery heating assembly is allocated to the battery heating assembly for battery heating, and the remaining available power is allocated to the cabin heating assembly for cabin heating. The preset second level condition is that the battery heating demand level is the highest level.

[0068] In the embodiment, the preset level conditions include a preset second level condition, and the fourth power distribution strategy is adopted when the battery heating demand level meets the preset second level condition. This strategy allocates the part of the current available power equal to the demand power of the battery heating assembly to the battery heating assembly for battery heating to ensure that the battery can quickly reach the appropriate working temperature, and the remaining available power is allocated to the cabin heating assembly.

[0069] Specifically, the power distribution principle follows the battery highest level priority principle, the battery middle and high level power guarantee principle, the absolute priority principle and the same level cabin priority principle. The battery highest level priority principle means that when the battery heating demand level is the highest level (5), the demand of the battery heating is preferentially met, and the remaining power is allocated to the cabin. The battery middle and high level power guarantee principle means that when the battery heating demand level is a middle or high level (3 or 4), the power required by the battery heating needs to be preferentially guaranteed. For example, it can be preset that 60% of the total available power is allocated to the battery, and on this basis, the heating demand of the cabin is met. The absolute priority principle means that the demand with a high level is preferentially met than the demand with a low level. That is, if there are multiple heating demands, the heating demand with a high level will be met first. For example, if the battery heating demand level is 3 and the cabin heating demand level is 2, according to the absolute priority principle, the battery heating demand will be preferentially met. The same level cabin priority principle means that when the battery and the cabin have the same heating demand level, the heating demand of the cabin is preferentially met, and the remaining power is allocated to the battery heating. For example, if the battery heating demand level and the cabin heating demand level are both 2, according to the same level cabin priority principle, the cabin heating demand will be met first, and the remaining power will be used for battery heating.

[0070] Step 250: regulating the power output of the battery heating assembly and the cabin heating assembly according to the target power distribution strategy.

[0071] The method of the present application can dynamically adjust the power distribution strategy according to the actual heating demand of the battery and the cabin, thereby optimizing the energy efficiency and thermal management performance of the vehicle while ensuring the performance of the battery and the comfort of the passengers. This method helps to improve the overall performance and user experience of the electric vehicle.

[0072] Reference Figure 4As shown, the architecture diagram of the whole vehicle energy management provided by the present application. The whole vehicle controller is the core of the whole energy management system, responsible for overall planning and coordination of the energy distribution of the vehicle. The thermal management controller focuses on the thermal energy management of the vehicle, including cabin heating and battery heating. The heating component is a component in the cabin heating system, responsible for converting electrical energy into heat energy to heat the interior of the cabin to meet the comfort needs of passengers. The compressor is another key component in the cabin heating system, which can be used in the air conditioning system or other thermal management functions that require a compressor mechanism to regulate the temperature inside the vehicle. Battery film heating refers to the technology of directly heating the battery to maintain the battery within a suitable temperature range to ensure the performance and life of the battery.

[0073] The embodiment of the present application dynamically adjusts the power distribution strategy according to the current power consumption scenario and the battery state, and adapts to different working condition requirements. By dynamically adjusting the power distribution, the thermal management energy distribution is highly matched with the actual working condition requirements of the battery, which can effectively solve the problem of insufficient matching between the thermal management energy distribution strategy and the actual working condition requirements of the battery in the prior art, improve the energy utilization efficiency, and improve the user experience.

[0074] The present application replaces the traditional single temperature threshold judgment method by introducing a multi-dimensional (such as cell temperature, battery remaining capacity, etc.) lookup table and grading mechanism. This multi-dimensional evaluation method can more accurately identify the actual demand urgency of the battery, thereby realizing more refined energy management.

[0075] The present application breaks the traditional fixed priority mode and adopts a dynamic arbitration strategy based on real-time demand level. This dynamic priority allocation method can prioritize the heating demand of the battery when the battery is in a critical state (such as demand level 5), ensuring the safety of the battery and the power of the whole vehicle. In general cases (such as the same demand level of battery and cabin heating), the system can balance the comfort needs of passengers, achieving the best balance between energy utilization and user experience.

[0076] In the case of non-urgent battery heating demand, the present application allows more energy to be used for cabin heating, thereby significantly improving passenger comfort. Conversely, when the battery heating demand is urgent, the system can reasonably limit the energy consumption of the passenger compartment to ensure the stable operation of the core functions of the vehicle. This energy management strategy achieves the best balance between energy efficiency and user experience, providing users with a more comfortable and safe driving experience.

[0077] Figure 5 The structure schematic diagram of the embodiment of the heating device in the vehicle of the present application is shown. As shown in the figure, Figure 5 The device 500 includes a first determination module 510, a second determination module 520, a third determination module 530, and a control module 540.

[0078] The first determining module is configured to determine a battery heating demand level based on a current power consumption scenario and battery performance and state attributes, wherein the battery performance and state attributes include at least one of a battery cell temperature and a battery remaining power, and the power consumption scenario includes at least one of a fast charging scenario, a slow charging scenario, a charging addressing scenario, and a regular driving scenario;

[0079] The second determining module is configured to determine a cabin heating demand level based on a cabin thermal management demand signal.

[0080] The third determining module is configured to determine a target power distribution strategy based on the battery heating demand level and the cabin heating demand level.

[0081] The regulating module is configured to regulate power outputs of the battery heating assembly and the cabin heating assembly according to the target power distribution strategy.

[0082] In an optional manner, the third determining module is specifically configured to:

[0083] If the battery heating demand level does not satisfy a preset level condition, the battery heating demand level and the cabin heating demand level are compared.

[0084] If the comparison result indicates that the battery heating demand level is the same as the cabin heating demand level, the first power distribution strategy is determined as the target power distribution strategy, otherwise, the second power distribution strategy is determined as the target power distribution strategy.

[0085] The first power distribution strategy is that, when a demand power of the cabin heating assembly does not exceed a current available power, a part of the current available power equal to the demand power is distributed to the cabin heating assembly for cabin heating, and a remaining available power is distributed to the battery heating assembly for battery heating.

[0086] The second power distribution strategy is that, when a demand power of a heating assembly with a high priority does not exceed a current available power, a part of the current available power equal to the demand power is distributed to the heating assembly with the high priority, and a remaining available power is distributed to a heating assembly with a low priority.

[0087] In an optional manner, the third determining module is specifically configured to:

[0088] If the battery heating demand level satisfies a preset first level condition in the preset level conditions, a third power distribution strategy is determined as the target power distribution strategy, the third power distribution strategy is that, the current available power is distributed to the battery heating assembly for battery heating according to a preset ratio, and a remaining available power is distributed to the cabin heating assembly for cabin heating, and the preset first level condition is that a priority of the battery heating demand level is higher than a preset level threshold.

[0089] In an optional manner, the third determining module is specifically configured to:

[0090] If the battery heating demand level meets a preset second level condition in the preset level conditions, the fourth power distribution strategy is determined as the target power distribution strategy.

[0091] The fourth power distribution strategy is that when the demand power of the battery heating assembly does not exceed the current available power, the part of the current available power equal to the demand power is distributed to the battery heating assembly for battery heating, and the remaining available power is distributed to the cabin heating assembly for cabin heating, and the preset second level condition is that the battery heating demand level is the highest level.

[0092] In an optional manner, the first determining module is specifically configured to:

[0093] query a mapping relationship among preset power consumption scenarios, battery performance and state attributes, and battery heating demand levels based on the current power consumption scenario and the battery performance and state attributes;

[0094] determine the current battery heating demand level based on the query result, each battery heating demand level corresponding to a different performance limitation state of the battery in a low temperature environment, the performance limitation state including at least one of a discharge prohibition state, a charging prohibition state, a discharge power limitation state and a charging rate limitation state.

[0095] In an optional manner, the second determining module is specifically configured to:

[0096] if the cabin thermal management demand signal is a defrosting and demisting demand signal, determine the first level as the current cabin heating demand level, the defrosting and demisting demand signal being a signal for removing frost or mist on a windshield or a window;

[0097] if the cabin thermal management demand signal is a comfort heating demand signal, determine the second level as the current cabin heating demand level, the first level having a higher priority than the second level, and the comfort heating demand signal being a signal for raising the temperature in the cabin to a target temperature other than the defrosting and demisting demand signal.

[0098] Embodiments of the present application dynamically adjust the power distribution strategy according to the current power consumption scenario and the battery state, and adapt to different working condition requirements. By dynamically adjusting the power distribution, the thermal management energy distribution is highly matched with the actual working condition requirements of the battery, effectively solving the problem of insufficient matching between the thermal management energy distribution strategy and the actual working condition requirements of the battery in the prior art, improving the energy utilization efficiency, and improving the user experience.

[0099] Figure 6 The structure schematic diagram of the embodiment of the heating device in the vehicle of the present application is shown, and the specific implementation of the heating device in the vehicle is not limited by the specific embodiments of the present application.

[0100] As Figure 6 shown in FIG. 6, the vehicle heating device can include a processor 602, a communications interface 604, a memory 606, and a communications bus 608.

[0101] The processor 602, the communications interface 604, and the memory 606 can communicate with each other through the communications bus 608. The communications interface 604 is configured to communicate with network elements such as clients or other servers. The processor 602 is configured to execute the program 610, and specifically can execute the related steps in the above-described embodiments of the vehicle heating method.

[0102] Specifically, the program 610 can include program code including computer-executable instructions.

[0103] The processor 602 can be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present application. The one or more processors included in the vehicle heating device can be the same type of processor, such as one or more CPUs; or can be different types of processors, such as one or more CPUs and one or more ASICs.

[0104] The memory 606 is configured to store the program 610. The memory 606 can include a high-speed RAM memory, and can also include a non-volatile memory such as at least one disk memory.

[0105] The program 610 can specifically be invoked by the processor 602 to cause the vehicle heating device to perform the following operations:

[0106] determine a battery heating demand level based on a current power consumption scenario and battery performance and state attributes, the battery performance and state attributes including at least one of a cell temperature and a battery remaining capacity, and the power consumption scenario including at least one of a fast charging scenario, a slow charging scenario, a charging addressing scenario, and a regular driving scenario;

[0107] determine a cabin heating demand level based on a cabin thermal management demand signal;

[0108] determine a target power allocation strategy based on the battery heating demand level and the cabin heating demand level;

[0109] control power outputs of the battery heating assembly and the cabin heating assembly according to the target power allocation strategy.

[0110] In an alternative way, the program 610 is invoked by the processor 602 to cause the heating device in the vehicle to perform the following operations:

[0111] If the battery heating demand level does not satisfy the preset level condition, the battery heating demand level and the cabin heating demand level are compared.

[0112] If the comparison result indicates that the battery heating demand level is the same as the cabin heating demand level, the first power distribution strategy is determined as the target power distribution strategy, otherwise the second power distribution strategy is determined as the target power distribution strategy.

[0113] The first power distribution strategy is that when the demand power of the cabin heating assembly does not exceed the current available power, the part of the current available power equal to the demand power is allocated to the cabin heating assembly for cabin heating, and the remaining available power is allocated to the battery heating assembly for battery heating.

[0114] The second power distribution strategy is that when the demand power of the heating assembly with high priority does not exceed the current available power, the part of the current available power equal to the demand power is allocated to the heating assembly with high priority, and the remaining available power is allocated to the heating assembly with low priority.

[0115] In an alternative way, the program 610 is invoked by the processor 602 to cause the heating device in the vehicle to perform the following operations:

[0116] If the battery heating demand level satisfies a preset first level condition in the preset level conditions, a third power distribution strategy is determined as the target power distribution strategy, the third power distribution strategy is that the current available power is allocated to the battery heating assembly for battery heating according to a preset proportion, and the remaining available power is allocated to the cabin heating assembly for cabin heating, and the preset first level condition is that the priority of the battery heating demand level is higher than a preset level threshold.

[0117] In an alternative way, the program 610 is invoked by the processor 602 to cause the heating device in the vehicle to perform the following operations:

[0118] If the battery heating demand level satisfies a preset second level condition in the preset level conditions, a fourth power distribution strategy is determined as the target power distribution strategy.

[0119] The fourth power distribution strategy is that when the demand power of the battery heating assembly does not exceed the current available power, the part of the current available power equal to the demand power is allocated to the battery heating assembly for battery heating, and the remaining available power is allocated to the cabin heating assembly for cabin heating, and the preset second level condition is that the battery heating demand level is the highest level.

[0120] In an alternative way, the program 610 is invoked by the processor 602 to make the heating device in the vehicle perform the following operations:

[0121] Based on the current power consumption scenario and the battery performance and state attributes, a mapping relationship between the preset power consumption scenario, the battery performance and state attributes, and the battery heating demand level is queried;

[0122] Based on the query result, the current battery heating demand level is determined, and each battery heating demand level corresponds to a different performance limitation state of the battery in a low temperature environment, and the performance limitation state includes at least one of a discharge prohibition state, a charging prohibition state, a discharge power limitation state, and a charging rate limitation state.

[0123] In an alternative way, the program 610 is invoked by the processor 602 to make the heating device in the vehicle perform the following operations:

[0124] If the cabin thermal management demand signal is a defrosting and demisting demand signal, the first level is determined as the current cabin heating demand level, and the defrosting and demisting demand signal refers to a signal for removing frost or fog on the windshield or window;

[0125] If the cabin thermal management demand signal is a comfort heating demand signal, the second level is determined as the current cabin heating demand level, and the priority of the first level is higher than that of the second level, and the comfort heating demand signal refers to a signal for raising the temperature in the cabin to a target temperature, except for the defrosting and demisting demand signal.

[0126] According to the current power consumption scenario and the battery state, the embodiment of the application dynamically adjusts the power distribution strategy to adapt to different working condition requirements. By dynamically adjusting the power distribution, the thermal management energy distribution is highly matched with the actual working condition requirements of the battery, which can effectively solve the problem of insufficient matching between the thermal management energy distribution strategy and the actual working condition requirements of the battery in the prior art, improve the energy utilization efficiency, and improve the user experience.

[0127] Figure 7 A structural schematic diagram of an embodiment of the vehicle of the application is shown. As shown in Figure 7 The vehicle 700 includes a sensor, one or more processors, and a communication interface;

[0128] The sensor is used to collect cell temperature data;

[0129] The processor is used to perform the steps in the above-mentioned vehicle heating method embodiment.

[0130] The embodiment of the present application dynamically adjusts the power distribution strategy according to the current power consumption scene and the battery state, and adapts to different working condition requirements. By dynamically adjusting the power distribution, it ensures that the thermal management energy distribution is highly matched with the actual working condition requirements of the battery, effectively solves the problem of insufficient matching between the thermal management energy distribution strategy and the actual working condition requirements of the battery in the prior art, improves the energy utilization efficiency, and improves the user experience.

[0131] The embodiment of the present application provides a computer readable storage medium, the storage medium stores at least one executable instruction, the executable instruction makes the heating equipment / device in the vehicle execute the vehicle heating method in any method embodiment described above when running on the heating equipment / device in the vehicle.

[0132] The executable instruction can be specifically used to make the heating equipment / device in the vehicle execute the following operations:

[0133] Based on the current power consumption scene and the battery performance and state attribute, determine the battery heating demand level, the battery performance and state attribute includes at least one of the cell temperature and the battery remaining power, and the power consumption scene includes at least one of the fast charging scene, the slow charging scene, the charging addressing scene and the normal driving scene;

[0134] Based on the cabin thermal management demand signal, determine the cabin heating demand level;

[0135] Based on the battery heating demand level and the cabin heating demand level, determine the target power distribution strategy;

[0136] According to the target power distribution strategy, control the power output of the battery heating assembly and the cabin heating assembly.

[0137] In an optional manner, the executable instruction makes the heating equipment / device in the vehicle execute the following operations:

[0138] If the battery heating demand level does not meet the preset level condition, compare the battery heating demand level and the cabin heating demand level;

[0139] If the comparison result indicates that the battery heating demand level and the cabin heating demand level are the same, the first power distribution strategy is determined as the target power distribution strategy, otherwise the second power distribution strategy is determined as the target power distribution strategy;

[0140] The first power distribution strategy is: when the demand power of the cabin heating assembly does not exceed the current available power, the part of the current available power equal to the demand power is allocated to the cabin heating assembly for cabin heating, and the remaining available power is allocated to the battery heating assembly for battery heating;

[0141] The second power allocation strategy is as follows: when the power demand of a high-priority heating component does not exceed the current available power, the portion of the current available power equal to the demand power is allocated to the high-priority heating component, and the remaining available power is allocated to the low-priority heating component.

[0142] In one alternative approach, executable instructions cause the heating equipment / device in the vehicle to perform the following operations:

[0143] If the battery heating demand level meets the preset first level condition in the preset level conditions, then the third power allocation strategy is determined as the target power allocation strategy. The third power allocation strategy is: to allocate the current available power to the battery heating component for battery heating according to a preset ratio, and to allocate the remaining available power to the cabin heating component for cabin heating. The preset first level condition is: the priority of the battery heating demand level is higher than the preset level threshold.

[0144] In one alternative approach, executable instructions cause the heating equipment / device in the vehicle to perform the following operations:

[0145] If the battery heating demand level meets the preset second level condition in the preset level conditions, then the fourth power allocation strategy will be determined as the target power allocation strategy.

[0146] The fourth power allocation strategy is as follows: when the power demand of the battery heating component does not exceed the current available power, the portion of the current available power equal to the demand power is allocated to the battery heating component for battery heating, and the remaining available power is allocated to the cabin heating component for cabin heating. The preset second-level condition is: the battery heating demand level is the highest level.

[0147] In one alternative approach, executable instructions cause the heating equipment / device in the vehicle to perform the following operations:

[0148] Based on the current power consumption scenario and battery performance and status attributes, query the mapping relationship between the preset power consumption scenario, battery performance and status attributes, and battery heating requirement level.

[0149] Based on the query results, the current battery heating requirement level is determined. Each battery heating requirement level corresponds to a different performance limitation state of the battery in a low-temperature environment. The performance limitation state includes at least one of the following: discharge prohibition state, charging prohibition state, discharge power limitation state, and charging rate limitation state.

[0150] In one alternative approach, executable instructions cause the heating equipment / device in the vehicle to perform the following operations:

[0151] If the cabin thermal management demand signal is a defrosting and defogging demand signal, a first level is determined as a current cabin heating demand level, the defrosting and defogging demand signal refers to a signal for removing frost or fog on a windshield or a window;

[0152] If the cabin thermal management demand signal is a comfort heating demand signal, a second level is determined as the current cabin heating demand level, the first level has a higher priority than the second level, and the comfort heating demand signal refers to a signal for raising the temperature in the cabin to a target temperature, except for the defrosting and defogging demand signal.

[0153] The embodiment of the present application dynamically adjusts the power distribution strategy according to the current power consumption scene and the battery state, and adapts to different working condition requirements. By dynamically adjusting the power distribution, the thermal management energy distribution is highly matched with the actual working condition requirements of the battery, which can effectively solve the problem of insufficient matching between the thermal management energy distribution strategy and the actual working condition requirements of the battery in the prior art, improve the energy utilization efficiency, and improve the user experience.

[0154] The algorithms or displays provided herein are not inherently related to any particular computer, virtual system, or other apparatus. Furthermore, embodiments of the present application are not described with reference to any particular programming language.

[0155] In the specification provided herein, a large number of specific details are described. However, it can be understood that the embodiments of the present application can be practiced without these specific details. Similarly, in order to simplify the present application and help understand one or more of the various inventive aspects, in the above description of the exemplary embodiments of the present application, various features of the embodiments of the present application are sometimes grouped together into a single embodiment, figure, or description thereof. Among them, the claims following the detailed description are hereby expressly incorporated into the detailed description, wherein each claim itself is a separate embodiment of the present application.

[0156] Those skilled in the art can understand that the modules in the device in the embodiments can be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments can be combined into one module or unit or component, and in addition, they can be divided into multiple sub-modules or sub-units or sub-components. Except that at least some of such features and / or processes or units are mutually exclusive.

[0157] It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design many alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word 'comprising' does not exclude the presence of elements or steps other than those listed in a claim. The word 'a' or 'an' preceding an element does not exclude the presence of a plurality of such elements. The application can be implemented by means of both hardware and software, and any combination thereof. In a unitary claim, several devices, apparatuses or means can be listed, comprising means for carrying out a certain task. The use of the term'means' in a claim is intended to refer to a combination of devices, apparatuses or means for carrying out a task. The word 'first','second', 'third', etc. do not imply any order. The use of these terms is to be construed as an indication of particular embodiments. Steps in the above-described embodiments, unless otherwise specified, are not to be construed as necessarily limiting the order in which the steps are performed.

Claims

1. A heating method for a vehicle, characterized in that, The method includes: Based on the current power consumption scenario and battery performance and status attributes, the battery heating requirement level is determined. The battery performance and status attributes include at least one of cell temperature and remaining battery power. The power consumption scenario includes at least one of fast charging scenario, slow charging scenario, charging addressing scenario and normal driving scenario. Based on cabin thermal management demand signals, determine the cabin heating demand level; Based on the battery heating demand level and the cabin heating demand level, a target power allocation strategy is determined; The power output of the battery heating assembly and the cabin heating assembly is adjusted according to the target power allocation strategy.

2. The method according to claim 1, characterized in that, The determination of the target power allocation strategy based on the battery heating demand level and the cabin heating demand level includes: If the battery heating requirement level does not meet the preset level conditions, then compare the battery heating requirement level with the cabin heating requirement level. If the comparison result indicates that the battery heating requirement level is the same as the cabin heating requirement level, then the first power allocation strategy is determined as the target power allocation strategy; otherwise, the second power allocation strategy is determined as the target power allocation strategy. The first power allocation strategy is as follows: when the power demand of the cabin heating component does not exceed the current available power, the portion of the current available power equal to the demand power is allocated to the cabin heating component for cabin heating, and the remaining available power is allocated to the battery heating component for battery heating. The second power allocation strategy is as follows: when the power demand of a high-priority heating component does not exceed the current available power, the portion of the current available power equal to the demand power is allocated to the high-priority heating component, and the remaining available power is allocated to the low-priority heating component.

3. The method according to claim 2, characterized in that, The determination of the target power allocation strategy based on the battery heating demand level and the cabin heating demand level includes: If the battery heating demand level meets the preset first level condition in the preset level conditions, then the third power allocation strategy is determined as the target power allocation strategy. The third power allocation strategy is: allocating the current available power to the battery heating component for battery heating according to a preset ratio, and allocating the remaining available power to the cabin heating component for cabin heating. The preset first level condition is: the priority of the battery heating demand level is higher than the preset level threshold.

4. The method according to claim 2, characterized in that, The determination of the target power allocation strategy based on the battery heating demand level and the cabin heating demand level includes: If the battery heating demand level meets the preset second level condition in the preset level conditions, then the fourth power allocation strategy is determined as the target power allocation strategy; The fourth power allocation strategy is as follows: when the power demand of the battery heating component does not exceed the current available power, the portion of the current available power equal to the power demand is allocated to the battery heating component for battery heating, and the remaining available power is allocated to the cabin heating component for cabin heating. The preset second level condition is: the battery heating demand level is the highest level.

5. The method according to any one of claims 1-4, characterized in that, The determination of battery heating requirement levels based on the current power consumption scenario and battery performance and status attributes includes: Based on the current power consumption scenario and battery performance and status attributes, query the mapping relationship between the preset power consumption scenario, battery performance and status attributes, and battery heating requirement level. Based on the query results, the current battery heating requirement level is determined. Each battery heating requirement level corresponds to a different performance limitation state of the battery in a low-temperature environment. The performance limitation state includes at least one of the following: discharge prohibition state, charging prohibition state, discharge power limitation state, and charging rate limitation state.

6. The method according to any one of claims 1-4, characterized in that, The determination of cabin heating requirement levels based on cabin thermal management demand signals includes: If the cabin thermal management demand signal is a defrost and defogging demand signal, then the first level is determined as the current cabin heating demand level. The defrost and defogging demand signal refers to a signal used to remove frost or fog from the windshield or windows. If the cabin thermal management demand signal is a comfort heating demand signal, then the second level is determined as the current cabin heating demand level. The first level has a higher priority than the second level. The comfort heating demand signal refers to a signal other than the defrost and defogging demand signal, used to raise the cabin temperature to the target temperature.

7. A heating device for a vehicle, characterized in that, The device includes: The first determining module is used to determine the battery heating requirement level based on the current power consumption scenario and battery performance and status attributes. The battery performance and status attributes include at least one of cell temperature and remaining battery power. The power consumption scenario includes at least one of fast charging scenario, slow charging scenario, charging addressing scenario and normal driving scenario. The second determining module is used to determine the cabin heating requirement level based on the cabin thermal management requirement signal; The third determining module is used to determine the target power allocation strategy based on the battery heating demand level and the cabin heating demand level; The control module is used to control the power output of the battery heating component and the cabin heating component according to the target power allocation strategy.

8. The apparatus according to claim 7, characterized in that, The third determining module is specifically used for: If the battery heating requirement level does not meet the preset level conditions, then compare the battery heating requirement level with the cabin heating requirement level. If the comparison result indicates that the battery heating requirement level is the same as the cabin heating requirement level, then the first power allocation strategy is determined as the target power allocation strategy; otherwise, the second power allocation strategy is determined as the target power allocation strategy. The first power allocation strategy is as follows: when the power demand of the cabin heating component does not exceed the current available power, the portion of the current available power equal to the demand power is allocated to the cabin heating component for cabin heating, and the remaining available power is allocated to the battery heating component for battery heating. The second power allocation strategy is as follows: when the power demand of a high-priority heating component does not exceed the current available power, the portion of the current available power equal to the demand power is allocated to the high-priority heating component, and the remaining available power is allocated to the low-priority heating component.

9. A heating device for a vehicle, characterized in that, include: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction that causes the processor to perform the operation of the heating method in the vehicle as described in any one of claims 1-6.

10. A computer-readable storage medium, characterized in that, The storage medium stores at least one executable instruction, which, when executed on a vehicle heating device / apparatus, causes the vehicle heating device / apparatus to perform the operation of the vehicle heating method as described in any one of claims 1-6.

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