Battery thermal management method and system and vehicle

By acquiring data during vehicle navigation to dynamically determine heating control parameters, the problem of insufficient flexibility in battery thermal management is solved, ensuring the battery temperature is suitable when it arrives at the charging station, thereby improving charging efficiency and battery life.

CN121893828APending Publication Date: 2026-04-21CHERY AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202610041779.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-13
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

Existing battery thermal management technologies lack flexibility and are insufficient to meet the needs of dynamically changing vehicle application scenarios.

Method used

During vehicle navigation, by acquiring vehicle data, navigation data, and charging pile data, heating control parameters are dynamically determined, and the heating equipment is controlled to heat the battery to meet the battery's heating requirements.

Benefits of technology

This improves the flexibility of battery thermal management, ensuring that the battery is at a suitable temperature when it arrives at the charging station, thereby improving charging efficiency and battery life.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the invention provides a battery thermal management method and system and a vehicle, and the method comprises the steps: in a vehicle navigation process, obtaining vehicle data of the vehicle, and navigation data and charging pile data of navigation to a destination; based on the vehicle data and the charging pile data, heating control parameters are determined, and the heating control parameters are used for controlling heating equipment in the vehicle to heat a battery so as to meet the heating requirement of the battery; based on the heating control parameters and the navigation data, determining whether to start heating equipment to heat the battery; and controlling the heating equipment to work based on the heating control parameters under the condition that the heating equipment is determined to be started to heat the battery. According to the invention, the technical problem of poor flexibility of battery thermal management in the prior art is solved.
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Description

Technical Field

[0001] This application relates to the field of batteries, and more specifically, to a battery thermal management method, system, and vehicle. Background Technology

[0002] With the promotion of green transportation and the continuous advancement of battery technology, vehicles equipped with batteries are becoming the choice of more and more users. However, temperature changes can easily affect battery performance, thereby impacting the user's driving experience. In charging scenarios, there is an urgent need for a control method for timely thermal management of batteries.

[0003] In related technologies, battery heating is often turned on at fixed times. However, when faced with dynamically changing vehicle application scenarios, heating the battery at fixed times may not meet the battery's operating requirements, which means that the battery thermal management has poor flexibility.

[0004] There is currently no good solution to the above problems. Summary of the Invention

[0005] This application provides a battery thermal management method, system, and vehicle to at least address the technical problem of poor flexibility in battery thermal management in related technologies.

[0006] According to one aspect of the embodiments of this application, a battery thermal management method is provided, comprising: during vehicle navigation, acquiring vehicle data, navigation data to the destination, and charging pile data; determining heating control parameters based on the vehicle data and charging pile data, wherein the heating control parameters are used to control a heating device in the vehicle to heat the battery to meet the battery's heating requirements; determining whether to activate the heating device to heat the battery based on the heating control parameters and navigation data; and, if it is determined that the heating device should be activated to heat the battery, controlling the heating device to operate based on the heating control parameters.

[0007] Optionally, heating control parameters are determined based on vehicle data and charging pile data, including: determining the target temperature for heating the battery based on charging pile data; determining the heating efficiency index for heating the battery to the target temperature based on the target temperature and vehicle data; and determining the heating control parameters based on the target temperature and heating efficiency index.

[0008] Optionally, based on charging pile data, a target temperature for heating the battery is determined, including: based on the charging pile data, determining the type of charging pile and the preset power of the charging pile; and based on the type of charging pile and the preset power, determining the target temperature.

[0009] Optionally, the vehicle data includes heating power and vehicle temperature. Based on the target temperature and vehicle data, a heating efficiency index for heating the battery to the target temperature is determined, including: determining the heating time required to heat the battery to the target temperature based on the target temperature and vehicle temperature; determining the heating power required to heat the battery to the target temperature based on the heating time and heating power; and determining the heating time and heating power as heating efficiency indices. Preferably, determining the heating power required to heat the battery to the target temperature based on the heating time and heating power includes: obtaining the heating power based on the product of the heating time and heating power.

[0010] Optionally, the vehicle data also includes battery temperature and battery heating rate. Based on the target temperature and vehicle temperature, the heating time required to heat the battery to the target temperature is determined, including: determining a correction factor based on the vehicle temperature; determining a first difference based on the difference between the target temperature and the battery temperature; obtaining a correction rate based on the product of the heating rate and the correction factor; and determining the heating time based on the ratio of the first difference to the correction rate.

[0011] Optionally, based on heating control parameters and navigation data, determine whether to activate the heating device to heat the battery, including: obtaining the vehicle's travel time to the destination and the battery's state of charge from the navigation data; and determining whether to activate the heating device to heat the battery based on the travel time, state of charge, and heating requirements.

[0012] Optionally, the heating requirement includes heating time and heating power. Based on the driving time, state of charge, and heating requirement, it is determined whether to activate the heating device to heat the battery, including: activating the heating device to heat the battery when the heating time is less than the driving time and the heating power is less than the state of charge; and deactivating the heating device when the heating time is not less than the driving time or the heating power is not less than the state of charge.

[0013] According to another aspect of the embodiments of this application, a battery thermal management system is also provided, including: a battery management system, configured to receive navigation data and destination charging pile data sent by a navigation system, and determine heating control parameters based on the charging pile data and vehicle data, and determine whether to activate the heating device in the vehicle to heat the battery based on the heating control parameters and navigation data, and generate a heating request based on the heating control parameters when it is determined to activate the heating device to heat the battery, wherein the heating control parameters are used to control the heating device to heat the battery to meet the battery's heating needs, and the heating request is used to request heating of the battery; and a control system, configured to receive the heating request sent by the battery management system and control the heating device to operate based on the heating request.

[0014] According to another aspect of the embodiments of this application, a vehicle is also provided, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods in various embodiments of this application when it runs.

[0015] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of this application.

[0016] According to another aspect of the embodiments of this application, a computer program product is also provided, including a computer program that, when executed by a processor, implements the methods of various embodiments of this application.

[0017] According to another aspect of the embodiments of this application, a computer program product is also provided, including a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods in various embodiments of this application.

[0018] According to another aspect of the embodiments of this application, a computer program is also provided, which, when executed by a processor, implements the methods of the various embodiments of this application.

[0019] In this embodiment, during vehicle navigation, vehicle data, navigation data to the destination, and charging pile data are acquired. Based on the vehicle data and charging pile data, heating control parameters are determined. Based on the heating control parameters and navigation data, it is determined whether to activate the heating device to heat the battery. If it is determined that the heating device should be activated to heat the battery, the heating device is controlled to operate based on the heating control parameters. This application addresses navigation scenarios by timely acquiring vehicle data, navigation data, and charging pile data. It can then dynamically determine heating control parameters using the vehicle data and charging pile data to accurately control the heating device to heat the battery, thereby meeting the battery's heating needs. Furthermore, by utilizing the heating control parameters and navigation data to determine when the heating device should be activated, the heating device can be controlled to operate based on the heating control parameters, achieving the goal of timely battery thermal management. This improves the flexibility of battery thermal management and solves the technical problem of poor flexibility in related technologies. Attached Figure Description

[0020] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0021] Figure 1 This is a flowchart of a battery thermal management method according to an embodiment of this application;

[0022] Figure 2 This is a schematic diagram of a battery thermal management system according to an embodiment of this application;

[0023] Figure 3 This is a schematic diagram of an optional battery thermal management method according to an embodiment of this application;

[0024] Figure 4 This is a schematic diagram of an optional battery thermal management strategy method according to an embodiment of this application;

[0025] Figure 5 This is an interactive schematic diagram of an optional navigation charging thermal management system according to an embodiment of this application;

[0026] Figure 6 This is a schematic diagram of a battery thermal management device according to an embodiment of this application. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] According to an embodiment of this application, a method embodiment for battery thermal management is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0030] This embodiment provides a battery thermal management method. Figure 1 This is a flowchart of a battery thermal management method according to an embodiment of this application, such as... Figure 1 As shown, the process includes the following steps:

[0031] Step S202: During vehicle navigation, acquire vehicle data, navigation data to the destination, and charging pile data.

[0032] The aforementioned vehicles refer to those that use batteries as their power source, such as pure electric vehicles and plug-in hybrid vehicles. These vehicles utilize electric drive systems to replace traditional fuel with electricity, significantly reducing emissions. The battery thermal management capabilities within the vehicles intelligently adjust battery temperature based on navigation and charging station data, ensuring the battery is in optimal condition during charging. This improves charging speed and efficiency, reduces energy consumption, extends battery life, and provides users with a superior charging experience.

[0033] A vehicle may include a body and chassis, auxiliary systems, and a battery. The battery stores electrical energy. It may comprise multiple cells, possibly composed of lithium-ion, nickel-metal hydride, or other alloys. The vehicle may also include a Battery Management System (BMS) to control battery charging, discharging, and temperature, ensuring safe and efficient battery operation. The vehicle may also include a drive motor and a power electronic control module. The drive motor converts electrical energy into mechanical energy to drive the vehicle's wheels. The efficiency and power of the drive motor affect the vehicle's performance and energy consumption. The power electronic control module, including inverters and converters, manages the energy conversion between the battery and the drive motor, controlling the drive motor's speed and torque to achieve vehicle acceleration and deceleration. Furthermore, the vehicle may include heating equipment, such as a Thermal Management System (TMS), to regulate the temperature of the battery, drive motor, and power electronic control module, ensuring that components operate within suitable temperature ranges, thus improving vehicle performance and extending component lifespan.

[0034] The vehicle data mentioned above can refer to various information related to vehicle operation, including but not limited to vehicle speed, location, battery status, and vehicle health status. Vehicle data is crucial for the thermal management of the vehicle's battery. Vehicle data can include status data (such as speed and throttle position), battery data (such as battery attribute data), environmental data (such as interior and exterior temperatures), and attribute data of heating equipment (such as heating power). In battery thermal management, vehicle data helps determine when to start heating the battery to prepare for fast charging, ensuring the battery is charged at a suitable temperature, thereby improving charging efficiency and battery life. Vehicle data can be collected through various sensors and monitoring systems on the vehicle, such as speed sensors and temperature sensors. These sensors send data to the onboard computer or battery management system and can be shared with other onboard systems such as navigation systems and thermal management systems via the vehicle network for more efficient data utilization.

[0035] Heating the battery en route to a charging station is a more efficient way to utilize the vehicle's remaining energy compared to heating it upon arrival. Waste heat generated during vehicle operation (such as from the motor and braking system) can be recovered by the thermal management system and used for battery heating. This reduces the additional energy consumed solely for battery heating and improves overall energy efficiency.

[0036] The aforementioned navigation data refers to the route data from the vehicle's current location to its destination, such as current location, destination, estimated travel time, estimated energy consumption, weather and temperature along the route, and destination information. In battery thermal management, navigation data can be used to predict when the vehicle will arrive at a charging station, which helps to preheat the battery in preparation for fast charging and reduce charging time. By comprehensively analyzing vehicle data, heating strategies can be controlled more precisely to avoid unnecessary energy consumption. Navigation data can be provided by in-vehicle navigation systems or mobile navigation software, calculated based on the location determined by the positioning system and the pre-input destination. The vehicle may also connect to cloud services to obtain real-time information such as traffic congestion and weather changes to further adjust navigation and battery thermal management strategies. During the vehicle's navigation to its destination, if the destination is identified as a charging station, intelligent thermal management can be activated to ensure that the battery temperature is moderate when the vehicle arrives at the charging station, preparing for efficient charging.

[0037] The aforementioned charging station data can include the type of charging station (e.g., slow or fast charging), rated power, location, availability, etc., which directly impacts vehicle charging planning. Charging station data helps vehicles prepare battery thermal management strategies in advance. The heating requirements for the battery can be determined based on the charging station data to ensure the battery is in an optimal state during charging, improving charging efficiency. Charging station data can be obtained through vehicle-to-everything (V2X) networks or charging station operator interfaces. The vehicle's navigation system or battery management system can connect to these services to obtain real-time charging station data at the destination, which can then be used to formulate thermal management strategies and charging plans.

[0038] In one optional embodiment, during vehicle navigation, real-time acquisition and analysis of vehicle data, navigation data, and charging station data can be achieved by integrating an onboard intelligent sensing system with map navigation information. Vehicle data can be acquired through built-in sensors, and navigation and charging station data can be obtained through a positioning system. The navigation system can utilize positioning, traffic prediction, and other methods to update the vehicle's navigation data in real time. In another optional embodiment, during vehicle navigation, once the user determines the destination, a request can be generated to retrieve vehicle data, navigation data to the destination, and charging station data. The request can instruct the retrieval of navigation and charging station data for that destination from a cloud-based big data platform.

[0039] Step S204: Determine heating control parameters based on vehicle data and charging pile data.

[0040] Among them, the heating control parameters are used to control the heating equipment in the vehicle to heat the battery in order to meet the battery's heating requirements.

[0041] The aforementioned heating control parameters refer to the set values ​​or variables upon which the heating device heats the battery during the heating process. These parameters may include, but are not limited to, cooling water flow rate, heating power, target temperature, start-up time, and operating time. Heating power relates to the energy output of the heating element and affects the heating speed. Operating time ensures that the heating task is completed within a suitable timeframe.

[0042] The aforementioned batteries are used to store and release electrical energy, determining a vehicle's range and performance. The battery is the vehicle's energy source and directly affects its driving range and power performance. In battery thermal management, battery temperature directly impacts charging efficiency and safety; therefore, heating or cooling the battery to its optimal operating temperature can improve battery performance and extend battery life.

[0043] The aforementioned heating equipment can be a component used in battery thermal management to heat the battery, ensuring safe and efficient charging and discharging in low-temperature environments. Heating equipment can include, but is not limited to, heaters, heating resistors, and heat pump systems. Among these, heaters are particularly effective due to their high heating efficiency. By preheating the battery in low-temperature environments, the heating equipment raises the battery temperature to the target operating temperature range, thereby improving charging and discharging performance, reducing internal resistance, increasing usable battery capacity, and contributing to extended vehicle range and faster charging speeds.

[0044] The aforementioned heating requirements refer to the necessary heating operations and related requirements under specific conditions to bring the battery to the expected temperature. Heating requirements can be further subdivided into battery heating time requirements, power requirements, etc. Meeting these heating requirements is crucial for ensuring the normal operation of the vehicle. This not only improves the battery's charging and discharging efficiency but also ensures the vehicle's stable operation. Heating requirements can be determined by monitoring the vehicle's status and combining this with a comprehensive analysis of battery performance.

[0045] Charging batteries at low temperatures not only slows down the charging process but can also negatively impact battery life. By determining heating needs during navigation and controlling battery heating in a timely manner, the battery can be brought to a stable operating state before charging begins. This avoids charging the battery at extreme temperatures, ensuring it starts charging within a safe temperature range. This helps extend battery cycle life, reduces long-term operating costs, and minimizes safety risks caused by abnormal temperatures, thus protecting the safety of users and vehicles. By heating the battery during navigation, electric vehicles arrive at charging stations in an optimal charging state, improving charging efficiency and resource utilization, enhancing the practicality of electric vehicles, extending battery life, and ensuring charging safety. This plays a crucial role in improving the overall user experience and market acceptance of electric vehicles.

[0046] In one alternative embodiment, in intelligent thermal management, deep learning technology can analyze features such as large amounts of vehicle data and charging pile data to adaptively determine heating control parameters. By establishing a deep neural network model, trained on historical data, this model can identify and predict the heating requirements of different types of vehicles under different environmental conditions before arriving at a specific charging pile, as well as the heating control parameters required to achieve this goal.

[0047] In another alternative embodiment, the cloud-edge collaborative strategy combines cloud-based big data analytics with the real-time responsiveness of edge computing, providing a fast and accurate solution for determining heating control parameters. During vehicle navigation, vehicle data and charging pile data are uploaded to the cloud in real time, while preliminary analysis is performed at edge computing nodes near the vehicle. Edge nodes can quickly respond to changes in vehicle status and adjust heating control parameters instantly, while the cloud handles more complex model training and strategy adjustments. This approach fully utilizes cloud computing resources while ensuring real-time performance and response speed, improving the efficiency and flexibility of battery thermal management.

[0048] Step S206: Based on heating control parameters and navigation data, determine whether to activate the heating device to heat the battery.

[0049] In one alternative embodiment, geofencing technology provides a location-based triggering mechanism for battery heating. A virtual geofence is set using heating control parameters and navigation data. When the vehicle enters a specific area (such as within a certain distance of a charging station), the heating equipment is automatically activated to heat the battery. This technique utilizes navigation data and heating control parameters to dynamically adjust the size of the geofence and the timing of heating activation to adapt to different driving conditions and charging needs.

[0050] In another alternative embodiment, a multi-condition threshold triggering method can be used, that is, determining whether to initiate battery heating based on rules. By using heating control parameters and navigation data, judgment rules and rule thresholds are set to determine whether to activate the heating device to heat the battery. This allows monitoring of the heating control parameters and navigation data determined in the above steps; if the rules are met, the heating device is triggered.

[0051] Step S208: If it is determined that the heating device will be started to heat the battery, the heating device will be controlled to work based on the heating control parameters.

[0052] In one alternative embodiment, if it is determined that the heating device will be activated, heating control parameters can be sent to the heating device to ensure that the heating device operates according to the heating control parameters. The heating control parameters can be sent directly to the heating device via the vehicle network.

[0053] In another optional embodiment, if it is detected that the heating device will be activated to heat the battery, the heating control parameters can be packaged and a heating command can be generated and sent to the heating device. Upon receiving the heating command, the heating device can parse the heating control parameters to execute the heating task. In this embodiment, during vehicle navigation, vehicle data, navigation data to the destination, and charging station data are acquired. Based on the vehicle data and charging station data, heating control parameters are determined. Based on the heating control parameters and navigation data, it is determined whether to activate the heating device to heat the battery. Therefore, if it is determined that the heating device will be activated to heat the battery, the heating device is controlled to operate based on the heating control parameters.

[0054] This application addresses navigation scenarios by acquiring vehicle data, navigation data, and charging pile data in a timely manner. This allows for the dynamic determination of heating control parameters using the vehicle and charging pile data, enabling accurate control of the heating equipment to heat the battery and meet its heating requirements. Furthermore, by utilizing the heating control parameters and navigation data to determine when the heating equipment is activated, the application can control the heating equipment's operation based on these parameters, achieving timely battery thermal management. This improves the flexibility of battery thermal management and solves the technical problem of poor flexibility in related technologies.

[0055] Optionally, heating control parameters are determined based on vehicle data and charging pile data, including: determining the target temperature for heating the battery based on charging pile data; determining the heating efficiency index for heating the battery to the target temperature based on the target temperature and vehicle data; and determining the heating control parameters based on the target temperature and heating efficiency index.

[0056] The target temperature mentioned above can be the final temperature expected to be reached during battery thermal management. This temperature ensures battery performance and charging efficiency. The target temperature guides battery thermal management to adjust heating or cooling strategies, ensuring the battery operates at a safe and efficient temperature.

[0057] The heating efficiency metrics mentioned above reflect the energy conversion efficiency of heating equipment in converting electrical energy into heat energy, and then heating the battery. This means what percentage of each unit of input energy is effectively used to raise the temperature of the target object. High heating efficiency means less energy waste and better energy utilization, which is crucial for improving the range of electric vehicles, reducing energy consumption, and lowering costs. Heating efficiency metrics can refer to heating time, such as the time efficiency required to heat the battery to the target temperature. They can also include energy consumption, the energy efficiency required to heat the battery to the target temperature. Alternatively, heating efficiency metrics can include heat transfer efficiency, referring to the ability of the coolant or fluid to transfer heat generated by the heater to the battery, and the efficiency of heat distribution evenly within the battery.

[0058] By calculating and monitoring heating efficiency metrics, energy consumption can be reduced and vehicle range extended. High heating efficiency helps heat the battery to its optimal operating temperature in a shorter time, improving battery performance, especially in low-temperature environments, significantly enhancing charging speed and charge / discharge efficiency. Heating efficiency metrics can guide the selection and adjustment of heaters and fluid circulation systems, ensuring heating equipment meets performance requirements. Changes in heating efficiency metrics can also reveal potential problems in the heating equipment, such as heater aging, coolant leaks, or poor circulation, facilitating timely maintenance and troubleshooting.

[0059] In one alternative embodiment, to precisely control the battery heating process in the vehicle to adapt to the conditions of the charging station to be used, ensuring the battery is in an optimal state during charging, a target battery heating temperature can be determined based on charging station data. This is because different charging stations have different requirements for battery temperature. Therefore, the target battery heating temperature can be determined based on the charging station data. This ensures the battery is heated to a temperature suitable for the charging station to be used, improving charging efficiency and avoiding impaired charging performance due to excessively high or low battery temperatures.

[0060] Then, based on the target temperature and vehicle data, a heating efficiency index is determined. The heating efficiency index reflects the ability of the heating equipment to heat the battery to the target temperature under specific conditions. The heating efficiency index can be affected by factors such as the power of the heating equipment, heating time, current battery temperature, and ambient temperature. By calculating the heating efficiency index, the heating efficiency required to heat the battery to the target temperature under given vehicle conditions can be assessed.

[0061] Based on the target temperature and heating efficiency indicators, heating control parameters, such as heating power and heating duration, are determined. This ensures that the heating equipment can efficiently and safely heat the battery to the target temperature. Specifically, by using the target temperature and heating efficiency indicators, the heating control parameters that the heating equipment should use can be accurately calculated to achieve a better heating effect with less energy consumption. Optionally, the target temperature for battery heating can be determined based on charging pile data, including: determining the type of charging pile and its preset power based on the charging pile data; and determining the target temperature based on the type of charging pile and its preset power.

[0062] The charging piles mentioned above can be categorized into slow charging and fast charging. This is due to differences in charging power, voltage, and current. Slow charging uses lower power, such as 3.3kW to 22kW, and employs AC power, typically 220V or 380V, with a smaller current. Due to the lower charging power, charging time may be longer. Fast charging uses higher power, such as 50kW to 350kW, and employs DC power. The voltage and current are adjustable according to the charging pile's power, and the higher current enables rapid charging. Due to the higher charging power, charging time is shorter. The preset power mentioned above refers to the rated power of the charging pile, that is, the electrical power that the charging pile can continuously and stably output under standard conditions. The rated power determines the charging speed and efficiency. Fast charging piles have a higher rated power, enabling them to replenish battery energy faster and reduce charging time, while slow charging piles have a relatively lower rated power, suitable for charging at night or during off-peak hours. The rated power information of charging piles can be obtained directly from the specifications provided by the charging pile manufacturer, or through information exchanged between the vehicle navigation system and the charging pile's communication protocol.

[0063] In one alternative embodiment, because different charging station types and power directly affect battery charging efficiency and temperature rise requirements during charging, specific information about the charging station can be obtained to determine the target temperature for improving charging efficiency and protecting battery health. This includes determining the charging station type and preset power based on charging station data. The type and preset power of the charging station directly affect the battery's charging speed and efficiency. Fast charging stations often require the battery to operate at higher temperatures to achieve greater charging efficiency, while slow charging stations have relatively less stringent temperature requirements. The preset power of the charging station also influences the setting of the target battery heating temperature because it directly relates to the current during battery charging, which in turn affects the battery's internal temperature rise and charging efficiency. Therefore, the target temperature can be determined based on the charging station type and preset power. For example, the target temperature can be determined through a preset mapping relationship. This preset mapping relationship can be determined based on experimental data or manually set through analysis. Alternatively, machine learning algorithms can be used to analyze the charging station type and preset power to predict the target temperature. Optionally, the vehicle data includes heating power and vehicle temperature. Based on the target temperature and vehicle data, a heating efficiency index for heating the battery to the target temperature is determined, including: determining the heating time required to heat the battery to the target temperature based on the target temperature and vehicle temperature; determining the heating power required to heat the battery to the target temperature based on the heating time and heating power; and determining the heating time and heating power as heating efficiency indices.

[0064] The heating power mentioned above refers to the heating rate that a battery thermal management method can provide to the battery when heating it, such as the heating power of a heating device. Heating power is measured in electrical energy converted into heat per unit time, and the unit can be watts (W). The magnitude of the heating power depends on the specific design of the heating device, such as the specifications and performance of the heating elements. The higher the heating power, the faster the battery temperature rises. High heating power can heat the battery to the target temperature in a shorter time. After determining the target temperature, the amount of electricity required to heat the battery to the target temperature can be calculated based on the heating power.

[0065] The vehicle temperature mentioned above refers to the battery ambient temperature, which is the temperature surrounding the battery and is affected by external environmental factors such as weather and driving speed. Vehicle temperature has a direct impact on battery performance; low temperatures reduce battery activity, while high temperatures may accelerate battery aging. Monitoring and controlling vehicle temperature helps adjust the battery's operating state, ensuring battery safety and extending battery life. Vehicle temperature can be monitored in real time by temperature sensors installed near the battery pack for use in formulating and implementing thermal management strategies. The heating time mentioned above refers to the length of time required from initiating the heating operation to reaching the target temperature. The length of the heating time reflects the efficiency of battery heating and is an important basis for determining whether the heater needs to be activated in advance. Reasonable heating time planning can ensure that the battery is at an optimal charging temperature when the vehicle arrives at the destination charging station. The heating time can be calculated based on the target temperature, the current battery temperature, heating power, and external environmental conditions. Heating time is a key parameter in thermal management strategy, used to determine when to start and stop the heating operation.

[0066] The heating power consumption mentioned above refers to the total amount of electricity expected to be consumed during the heating process to bring the battery to the target temperature. Accurate calculation of the heating power consumption is crucial to ensuring that the vehicle has sufficient remaining battery power to support the heating operation and subsequent driving. The heating power consumption can be calculated based on a combination of charging station data and vehicle data to determine whether heating should be initiated.

[0067] In one alternative embodiment, the time required to heat the battery to a target temperature under current vehicle conditions can be evaluated. Since the target temperature is determined based on the charging station type and preset power, and the vehicle temperature, i.e., the ambient temperature where the battery is located, affects the efficiency of the heating process, the heating time required to heat the battery to the target temperature can be determined based on both the target temperature and the vehicle temperature. Calculating the heating time helps in planning when to begin heating to ensure the battery temperature is suitable when the vehicle arrives at the charging station.

[0068] Then, since the heating power is an indicator of the energy required to heat the battery from its current temperature to the target temperature, the required heating power can be provided for the energy consumption control of the battery based on the heating time and heating power. This can ensure that the battery does not deplete too much energy during the heating process, thus avoiding affecting the vehicle's driving ability.

[0069] Heating time and heating power together constitute an indicator for evaluating the efficiency of the battery heating process, reflecting the energy consumption and time cost of heating the battery to the target temperature. By monitoring and analyzing heating efficiency indicators, heating strategies can be continuously adjusted to reduce energy consumption, shorten heating time, and improve the overall performance of the vehicle. Preferably, determining the heating power required to heat the battery to the target temperature based on heating time and heating power includes: obtaining the heating power based on the product of heating time and heating power.

[0070] In one alternative embodiment, the total energy required to heat the battery to the target temperature can be calculated based on the product of heating time and heating power, allowing for reasonable energy allocation and preventing overheating or insufficient power. Accurate calculation of the heating energy ensures that the vehicle can be heated without depleting the remaining battery power, thus maintaining the vehicle's driving capability.

[0071] Optionally, the vehicle data also includes battery temperature and battery heating rate. Based on the target temperature and vehicle temperature, the heating time required to heat the battery to the target temperature is determined, including: determining a correction factor based on the vehicle temperature; determining a first difference based on the difference between the target temperature and the battery temperature; obtaining a correction rate based on the product of the heating rate and the correction factor; and determining the heating time based on the ratio of the first difference to the correction rate.

[0072] The battery temperatures mentioned above can be determined by the minimum temperature of the battery cell. Since temperatures may vary in different locations within the battery, monitoring the minimum temperature helps prevent the effects of localized low temperatures. Battery temperature is an important reference for determining whether heating is needed and how to adjust the heating strategy.

[0073] The heating rate mentioned above refers to the change in battery temperature per unit time, reflecting the speed at which the battery is heated. The heating rate is crucial for planning heating time and improving energy consumption. A high heating rate may consume more energy, while a low heating rate may prevent the battery from reaching the target temperature in time. The heating rate can be calculated based on parameters such as heating power, cell thermal properties (e.g., heat capacity, thermal conductivity), and environmental conditions (e.g., wind speed, ambient temperature). The heating rate can also be estimated using historical data and experimental calibration values.

[0074] The aforementioned correction factors can be used to adjust preset parameters or models to compensate for the differences between actual operating conditions and ideal conditions. For example, when external conditions such as ambient temperature, humidity, and wind speed change, the correction factors can be adjusted to reflect the impact of external conditions on heating efficiency. The introduction of correction factors enhances the flexibility and accuracy of thermal management strategies, enabling the system to better adapt to complex and changing real-world environments, improve heating operation, reduce energy consumption, and improve battery performance. Correction factors can be pre-established based on experimental data and vehicle measurement data, determined through statistical analysis and model fitting. Under different operating conditions, such as extremely low ambient temperatures, the correction factors will be adjusted higher to compensate for the decrease in heating efficiency. Setting the correction factors requires consideration of various factors, including battery material characteristics, heating element efficiency, and vehicle design; it is a comprehensive parameter.

[0075] In one alternative embodiment, considering the impact of ambient temperature on the battery heating rate, a correction factor can be determined using the vehicle temperature, i.e., the battery's ambient temperature, to adjust the battery heating rate. This correction factor ensures that battery thermal management can dynamically adjust the heating plan based on real-time ambient temperature. This is because fluctuations in ambient temperature may cause the heating rate to deviate from the theoretical value. The correction factor can compensate for this error, ensuring the battery reaches the target temperature within a preset time.

[0076] Furthermore, a first difference can be determined based on the difference between the target temperature and the battery temperature; that is, the difference between the current battery temperature and the target temperature. This first difference reflects the heating requirement for the battery to warm up from its current state to the target state and serves as the basis for initiating heating operations in the thermal management method. Based on the magnitude of this first difference, a more reasonable heating strategy can be planned to avoid overheating or underheating.

[0077] Therefore, the corrected rate, i.e., the actual heating rate under the influence of ambient temperature, can be obtained based on the product of the heating rate and the correction factor, thus determining the heating time to be closer to the actual situation of battery heating. The corrected rate can be used to more accurately predict the heating time, ensuring that the heating process can be accurately controlled.

[0078] Furthermore, the heating time can be determined based on the ratio of the first difference to the correction rate, ensuring that the battery heats to the target temperature at the correct time. This ensures that the heating time matches the vehicle's travel schedule; for example, if the estimated time for the vehicle to reach the charging station is 30 minutes, it is necessary to ensure that the heating time does not exceed this time while ensuring that the battery temperature reaches the target temperature.

[0079] Optionally, based on heating control parameters and navigation data, determine whether to activate the heating device to heat the battery, including: obtaining the vehicle's travel time to the destination and the battery's state of charge from the navigation data; and determining whether to activate the heating device to heat the battery based on the travel time, state of charge, and heating requirements.

[0080] The aforementioned travel time refers to the estimated time required to reach the destination from the vehicle's current location. Travel time can be determined by considering various factors such as driving speed, route selection, and traffic conditions. Determining the travel time can help plan when to initiate battery heating, ensuring the battery reaches the target temperature before reaching the charging station, and preventing excessive battery energy consumption due to premature heating, which could affect range.

[0081] The state of charge (SOC) mentioned above indicates the remaining battery capacity, expressed as a percentage of the battery's current charge / discharge level relative to its capacity. Determining the SOC helps assess the impact of heating operations on the battery's SOC, ensuring the battery has sufficient charge to support the heating process. SOC is a critical parameter for determining whether to safely start the heating equipment, preventing insufficient charge from affecting vehicle safety and range.

[0082] In one optional embodiment, the vehicle's travel time to the destination and the battery's state of charge (SOC) can be obtained from navigation data. Obtaining the required travel time and battery SOC is fundamental to assessing whether the vehicle can complete battery heating before reaching the charging station, while ensuring sufficient charge to reach the destination. Travel time can be used to calculate the estimated arrival time at the charging station, and SOC reflects the remaining battery charge level upon arrival, a crucial factor in determining whether there is enough energy to support the heating process. This ensures that the vehicle can safely reach its destination even during thermal management, avoiding insufficient charge due to improper energy management.

[0083] Therefore, by combining driving time, state of charge, and heating demand, the system can intelligently determine whether and when to activate the heating equipment to achieve optimal heating while maintaining the vehicle's range. By analyzing driving time, state of charge, and heating demand, it can decide whether to activate heating under current conditions and whether to adjust the heating strategy to save energy.

[0084] Optionally, the heating requirement includes heating time and heating power. Based on the driving time, state of charge, and heating requirement, it is determined whether to activate the heating device to heat the battery, including: activating the heating device to heat the battery when the heating time is less than the driving time and the heating power is less than the state of charge; and deactivating the heating device when the heating time is not less than the driving time or the heating power is not less than the state of charge.

[0085] In one optional embodiment, the heating time can be compared with the driving time, and the heating charge can be compared with the state of charge (SBC) to ensure that if heating begins at the current time, the battery can reach the target temperature before arriving at the charging station, without delaying arrival time due to heating. By comparing the heating time with the driving time, and to avoid excessive battery consumption due to battery heating and ensure the vehicle has sufficient energy to reach its destination, the required heating charge can be compared with the SBC. This ensures that the heating equipment is activated without reducing the vehicle's range, satisfying both heating needs and driving safety. When both the heating time and the heating charge are less than the SBC, the heating equipment can be activated to heat the battery. This means the system considers heating feasible under the current conditions and will not negatively impact vehicle operation.

[0086] Furthermore, to prevent the heating device from being activated without sufficient driving time to complete heating, thus avoiding ineffective heating or preventing the vehicle from reaching the charging station within the expected time, heating should be avoided if the estimated heating time is equal to or exceeds the driving time. This is because activating the heating device would prevent heating from being completed before arrival or could cause travel delays. It is also important to avoid insufficient battery power to support heating operations, preventing the vehicle's battery from becoming too low due to heating, which could affect safety and performance. If the amount of electricity required for heating is equal to or exceeds the current state of charge, it indicates insufficient power for heating; activating the heating device may deplete the battery, preventing the vehicle from reaching its destination. In short, if the heating time is not less than the driving time, or the amount of electricity required for heating is not less than the state of charge, the heating device can be turned off or avoided.

[0087] According to another aspect of the embodiments of this application, a battery thermal management system is also provided. Figure 2 This is a schematic diagram of a battery thermal management system according to an embodiment of this application, as shown below. Figure 2 As shown, the battery thermal management system 200 includes:

[0088] The battery management system 202 is used to receive navigation data and destination charging pile data sent by the navigation system 300, and determine heating control parameters based on the charging pile data and vehicle data, and determine whether to activate the heating device in the vehicle to heat the battery based on the heating control parameters and navigation data, and generate a heating request based on the heating control parameters when it is determined to activate the heating device to heat the battery. The heating control parameters are used to control the heating device to heat the battery to meet the battery's heating needs, and the heating request is used to request heating of the battery.

[0089] The control system 204 is used to receive heating requests sent by the battery management system and control the heating equipment to work based on the heating requests.

[0090] The aforementioned battery management system can be an electronic system used to monitor and control the battery in a vehicle. The battery management system can collect various operational data of the battery, such as voltage, current, temperature, and state of charge (SOC), and manage the battery based on this information to ensure its safe and efficient operation. In this embodiment, the battery management system can receive navigation data and destination charging station data sent by the navigation system to determine whether to activate the vehicle's heating equipment to heat the battery. Based on the charging station data and vehicle data, it can determine heating control parameters, and if it determines that the heating equipment should be activated to heat the battery, it can generate a heating request based on the heating control parameters to heat the battery.

[0091] The aforementioned control system receives heating requests from the battery management system and translates these requests into operational commands that the heating equipment can understand, thereby enabling heating control of the heating equipment.

[0092] This battery thermal management system can include a battery management system and a control system. The battery management system receives navigation data and destination charging station data from the navigation system. Based on the charging station data and vehicle data, it determines heating control parameters and, in conjunction with the navigation data, decides whether to activate the vehicle's heating equipment to heat the battery, ensuring it reaches a suitable temperature before charging. If activation of the heating equipment is determined, the battery management system generates a heating request to control its operation, ensuring the battery reaches the target temperature. The control system receives and responds to the heating request from the battery management system, thereby controlling the operation of the heating equipment to achieve timely battery heating. In this way, by intelligently analyzing charging station and vehicle data, the battery heating control parameters can be accurately calculated, avoiding reduced charging efficiency and increased energy consumption caused by overheating or underheating, thus achieving the technical effects of improving charging speed and energy management efficiency.

[0093] The technical solution proposed in this application is described below with reference to an optional embodiment. This application proposes a navigation charging battery thermal management method. This method can accurately estimate the target battery heating temperature based on the destination charging station type and rated power provided by the map. Since the target temperature of fast charging stations is much higher than that of slow charging stations, and the higher the rated power of the fast charging station, the higher the target battery temperature, the better the fast charging performance, and the faster the fast charging speed. This fully considers the influence of ambient temperature on the battery heating rate; the lower the ambient temperature, the higher the heat loss during heating, and the slower the battery heating rate, ensuring that the battery reaches the target temperature before the vehicle reaches its destination, thus guaranteeing fast charging performance. Furthermore, the impact of the energy required for battery heating on the vehicle's range is considered, ensuring that the estimated remaining SOC is greater than the energy required for battery heating, guaranteeing that the vehicle can safely reach its destination.

[0094] The technical solution proposed in this application is described below with reference to an optional embodiment. This application also proposes a method for thermal management of a navigation charging battery. The method includes: using map navigation to provide the estimated remaining time to reach the destination, estimated remaining SOC, charging pile type, and charging station rated power. A target battery heating temperature is determined based on the destination charging station type and charging pile rated power provided by the map. Then, based on the target battery heating temperature, ambient temperature, and current battery temperature, the time required for battery heating and the energy required for battery heating are calculated. The estimated remaining SOC is compared with the energy required for battery heating, and the time required for battery heating is compared with the estimated remaining time to reach the destination. When the estimated remaining SOC > the energy required for battery heating and the time required for battery heating < the estimated remaining time to reach the destination, battery heating is activated.

[0095] Specifically, the map system provides the estimated remaining time to reach the navigation charging destination, the estimated remaining SOC, the charging station type, and the rated power of the charging station. The target battery heating temperature is then determined based on the charging station type and rated power.

[0096] Specifically, the target battery heating temperature for different charging piles with rated power can be set as follows: When the charging pile is a slow charging pile, the target battery heating temperature is T1; when the charging pile is a fast charging pile and the rated power is <60kW, the target battery heating temperature is T2; when the charging pile is a fast charging pile and 60kW≤rated power≤120kW, the target battery heating temperature is T3; when the charging pile is a fast charging pile and the rated power is >120kW, the target battery heating temperature is T4, where T1<T2<T3<T4, and the specific target temperature value is set according to the battery's fast charging capability.

[0097] For example, in the scenario of navigation charging, when the battery thermal management heating or cooling level is level two, the battery inlet temperature requirement is 45°C, the battery inlet flow requirement is 15L per minute, and the scenario entry conditions are enabling navigation charging thermal management request and the battery state of high voltage power-on, different charging pile rated power corresponds to different battery heating target temperatures.

[0098] For charging stations with a rated power greater than 120kW, the heating should be activated when the battery temperature T ≤ the target temperature of 15℃. If the battery temperature ≥ the target temperature of 18℃, the heating should be deactivated. For charging stations with a rated power between 60kW and 120kW, the heating should be activated when the battery temperature T ≤ the target temperature of 10℃. If the battery temperature ≥ the target temperature of 13℃, the heating should be deactivated. For charging stations with a rated power less than 60kW, the heating should be activated when the battery temperature T ≤ the target temperature of 5℃. If the battery temperature ≥ the target temperature of 8℃, the heating should be deactivated. If the charging station is a slow charging station, the heating should be activated when the battery temperature T ≤ the target temperature -5℃, and deactivated when the battery temperature T ≥ the target temperature of 0℃.

[0099] Then, based on the target battery heating temperature, ambient temperature, and current battery temperature, the time required for battery heating ΔT and the amount of electricity required for battery heating W are calculated.

[0100] Since ambient temperature affects the battery heating rate, the lower the ambient temperature, the more heat is lost during heating, and the lower the battery heating rate. The influence of ambient temperature on the battery heating rate can be obtained through calibration using a correction factor K. Taking the battery heating rate at 0 degrees Celsius as the benchmark, the K value can be set as follows for different ambient temperatures: if ambient temperature > 0°C, the correction factor K is K1; if -10°C > ambient temperature > 0°C, the correction factor K is K2; if -20°C ≥ ambient temperature ≥ -10°C, the correction factor K is K3; if ambient temperature < -20°C, the correction factor K is K4, where K1 > K2 > K3 > K4. The specific correction factor can be obtained through calibration based on the actual temperature rise rate of the entire vehicle.

[0101] The time required for the battery to heat up is determined using the following formula:

[0102] △T= ;

[0103] Where ΔT is the time required to heat the battery to the target temperature. For the target temperature, For battery temperature, Let K be the heating rate of the battery, and K be a correction factor.

[0104] The amount of electricity required for battery heating is determined using the following formula:

[0105] W=P △T;

[0106] Where W is the amount of electricity required to heat the battery to the target temperature, P is the heating power of the battery, and ΔT is the time required to heat the battery to the target temperature.

[0107] Then, compare the estimated remaining SOC with the energy W required for battery heating, and compare the battery heating time ΔT with the estimated remaining time t. When the estimated remaining SOC > the energy W required for battery heating and the battery heating time ΔT < the estimated remaining time t, start battery heating.

[0108] like Figure 3 The image illustrates a battery thermal management method. This method includes: acquiring navigation data and charging station data during vehicle operation; acquiring vehicle temperature and battery temperature during vehicle operation; and then determining and issuing appropriate battery cooling or heating requirements based on the navigation data, charging station data, and the vehicle and battery temperatures.

[0109] like Figure 4 The image illustrates a battery thermal management strategy. The method includes: calculating a target battery heating temperature based on navigation data; then calculating the heating time and heating capacity based on the ambient temperature, the target temperature, and the current temperature; thereby determining the time to issue a battery heating request based on the heating time and the vehicle's distance from the charging station; and finally, executing the heating request according to the battery heating demand.

[0110] The technical solution proposed in this application is described below with reference to an optional embodiment. This application also proposes a heating management system, in which a map system provides relevant data to the battery management system (BMS). The heating management system provides ambient temperature information to the BMS. Based on the information provided by the map system, the BMS calculates the time ΔT required for battery heating and the amount of electricity (W) required for battery heating. Based on the calculation results, it sends a heating request to the heating management system (TMS) at an appropriate time. The TMS, based on the request from the BMS, controls the high-voltage heater (HVH) and water pump to operate, thereby heating the battery. Figure 5 The diagram illustrates the interaction of the navigation charging thermal management system. Figure 5 As shown, the thermal management system receives data sent by the map system, and the thermal management system and the battery management system can transmit data to each other.

[0111] The technical solution proposed in this application is described below with reference to an optional embodiment. This application also proposes a navigation charging thermal management strategy, which calculates the target battery heating temperature based on relevant information about charging stations provided by a map. The required heating time and electricity are calculated based on the ambient temperature, the target battery heating temperature, and the current temperature. The Battery Management System (BMS) issues a battery heating request based on the required battery heating time and the vehicle's distance from the charging station. The TMS controls the heater and water pump to operate according to the battery heating demand, thus executing the battery heating request.

[0112] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of the relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0113] According to an embodiment of this application, a device embodiment for a battery thermal management apparatus is provided. It should be noted that the apparatus can be used to perform the above-described battery thermal management method.

[0114] This embodiment provides a battery thermal management device. Figure 6 This is a schematic diagram of a battery thermal management device according to an embodiment of this application, such as... Figure 6 As shown, the device includes:

[0115] The acquisition module 60 is used to acquire vehicle data, navigation data to the destination, and charging pile data during vehicle navigation.

[0116] The determination module 62 is used to determine heating control parameters based on vehicle data and charging pile data. The heating control parameters are used to control the heating equipment in the vehicle to heat the battery in order to meet the battery's heating requirements.

[0117] Heating module 64 is used to determine whether to activate the heating device to heat the battery based on heating control parameters and navigation data.

[0118] The control module 66 is used to control the operation of the heating device based on heating control parameters when it is determined that the heating device should be started to heat the battery.

[0119] Optionally, the determining module is also used to determine the target temperature for heating the battery based on charging pile data; determine the heating efficiency index for heating the battery to the target temperature based on the target temperature and vehicle data; and determine the heating control parameters based on the target temperature and heating efficiency index.

[0120] Optionally, the determining module is also used to determine the type of charging pile and the preset power of the charging pile based on the charging pile data; and to determine the target temperature based on the type of charging pile and the preset power.

[0121] Optionally, the vehicle data includes heating power and vehicle temperature. The determination module is also used to determine the heating time required to heat the battery to the target temperature based on the target temperature and vehicle temperature; to determine the heating power required to heat the battery to the target temperature based on the heating time and heating power; and to determine the heating time and heating power as heating efficiency indicators.

[0122] Preferably, the determining module is also used to obtain the heating power based on the product of heating time and heating power.

[0123] Optionally, the vehicle data also includes battery temperature and battery heating rate. The determination module is further used to determine a correction factor based on the vehicle temperature; determine a first difference based on the difference between the target temperature and the battery temperature; obtain a correction rate based on the product of the heating rate and the correction factor; and determine the heating time based on the ratio of the first difference to the correction rate.

[0124] Optionally, the heating module is also used to obtain the vehicle's travel time to the destination and the battery's state of charge from the navigation data; based on the travel time, state of charge and heating requirements, it determines whether to activate the heating equipment to heat the battery.

[0125] Optionally, the heating requirements include heating time and heating power. The heating module is also used to determine to start the heating device to heat the battery when the heating time is less than the driving time and the heating power is less than the state of charge; and to determine to turn off the heating device when the heating time is not less than the driving time or the heating power is not less than the state of charge.

[0126] Embodiments of this application also provide a vehicle, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods described in various embodiments of this application when it runs.

[0127] Embodiments of this application also provide a computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of this application.

[0128] Embodiments of this application also provide a computer program product, including a computer program that, when executed by a processor, implements the methods of various embodiments of this application.

[0129] Embodiments of this application also provide a computer program product, including a non-volatile computer-readable storage medium for storing a computer program that, when executed by a processor, implements the methods in various embodiments of this application.

[0130] Embodiments of this application also provide a computer program that, when executed by a processor, implements the methods described in the various embodiments of this application.

[0131] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0132] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0133] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0134] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0135] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0136] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A battery thermal management method, characterized in that, include: During vehicle navigation, vehicle data, navigation data to the destination, and charging station data are acquired. Based on the vehicle data and the charging pile data, heating control parameters are determined, wherein the heating control parameters are used to control the heating equipment in the vehicle to heat the battery in order to meet the heating requirements of the battery. Based on the heating control parameters and the navigation data, determine whether to activate the heating device to heat the battery; If it is determined that the heating device should be activated to heat the battery, the heating device should be controlled to operate based on the heating control parameters.

2. The method according to claim 1, characterized in that, Based on the vehicle data and the charging pile data, heating control parameters are determined, including: Based on the charging pile data, the target temperature for heating the battery is determined; Based on the target temperature and the vehicle data, a heating efficiency index for heating the battery to the target temperature is determined; The heating control parameters are determined based on the target temperature and the heating efficiency index.

3. The method according to claim 2, characterized in that, Based on the charging pile data, the target temperature for heating the battery is determined, including: Based on the charging pile data, the type of charging pile and the preset power of the charging pile are determined; The target temperature is determined based on the type of the charging pile and the preset power.

4. The method according to claim 2, characterized in that, The vehicle data includes heating power and vehicle temperature. Based on the target temperature and the vehicle data, a heating efficiency index for heating the battery to the target temperature is determined, including: Based on the target temperature and the vehicle temperature, determine the heating time required to heat the battery to the target temperature; Based on the heating time and the heating power, determine the amount of electricity required to heat the battery to the target temperature; The heating time and the heating power consumption are defined as the heating efficiency index; Preferably, determining the amount of electricity required to heat the battery to the target temperature based on the heating time and the heating power includes: The heating power is obtained by multiplying the heating time and the heating power.

5. The method according to claim 4, characterized in that, The vehicle data also includes battery temperature and the battery heating rate. Based on the target temperature and the vehicle temperature, the heating time required to heat the battery to the target temperature is determined, including: Based on the vehicle temperature, determine the correction factor; A first difference is determined based on the difference between the target temperature and the battery temperature; The correction rate is obtained based on the product of the heating rate and the correction factor; The heating time is determined based on the ratio of the first difference to the correction rate.

6. The method according to claim 1, characterized in that, Based on the heating control parameters and the navigation data, determining whether to activate the heating device to heat the battery includes: The vehicle's arrival time at its destination and the battery's state of charge are obtained from the navigation data. Based on the driving time, the state of charge, and the heating requirement, determine whether to activate the heating device to heat the battery.

7. The method according to claim 6, characterized in that, The heating requirement includes heating time and heating power. Based on the driving time, the state of charge, and the heating requirement, determining whether to activate the heating device to heat the battery includes: If the heating time is less than the driving time and the heating charge is less than the state of charge, then the heating device is activated to heat the battery. If the heating time is not less than the driving time, or the heating power is not less than the state of charge, the heating device is turned off.

8. A battery thermal management system, characterized in that, include: A battery management system is used to receive navigation data and destination charging station data sent by a navigation system, and to determine heating control parameters based on the charging station data and vehicle data. Based on the heating control parameters and the navigation data, it determines whether to activate the vehicle's heating device to heat the battery. If it is determined that the heating device should be activated to heat the battery, a heating request is generated based on the heating control parameters. The heating control parameters are used to control the heating device to heat the battery to meet its heating requirements, and the heating request is used to request heating of the battery. A control system is configured to receive the heating request sent by the battery management system and control the heating device to operate based on the heating request.

9. A vehicle, characterized in that, include: The battery thermal management system as described in claim 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device on which the storage medium is located to perform the method according to any one of claims 1 to 7.