Battery thermal management method based on cloud platform and related device

Abstract

The application discloses a battery thermal management method based on a cloud platform and related equipment, relates to the field of new energy automobile battery thermal management, and mainly aims to solve the problems that current new energy automobile battery thermal management is stored in a vehicle end, occupies vehicle end operation memory, and is excessively redundant due to lack of levels. The method comprises the following steps: uploading battery working state information to a cloud platform to obtain a thermal management strategy; receiving the thermal management strategy and determining an execution priority of the thermal management strategy; and performing battery thermal management based on the thermal management strategy and the execution priority. The application is used for the battery thermal management process based on the cloud platform.

Description

Technical Field

[0001] This invention relates to the field of battery thermal management for new energy vehicles, and in particular to a battery thermal management method and related equipment based on a cloud platform. Background Technology

[0002] With the increasing demand for intelligent, connected, and diversified vehicles, the current storage capacity and CPU computing power of vehicle-side chips are already stretched thin. Therefore, we also hope to place some complex and time-sensitive control tasks on cloud platforms with more powerful computing and storage capabilities. Currently, most of the automotive thermal management control logic is located on the vehicle side, so there is a lack of a better way to improve the hierarchy of software modules and reduce the coupling between modules, software, and hardware. Summary of the Invention

[0003] In view of the above problems, the present invention provides a battery thermal management method and related equipment based on a cloud platform. The main purpose is to solve the problem that the current battery thermal management of new energy vehicles is stored on the vehicle side, which occupies the vehicle's running memory and lacks hierarchy and is too redundant.

[0004] To address at least one of the aforementioned technical problems, in a first aspect, the present invention provides a cloud platform-based battery thermal management method, the method comprising:

[0005] Upload battery operating status information to the cloud platform to obtain thermal management strategies;

[0006] Receive the above thermal management strategy and determine the execution priority of the above thermal management strategy;

[0007] Battery thermal management is carried out based on the above thermal management strategies and execution priorities.

[0008] Optionally, the above battery operating status information includes at least one of the following: battery charge, battery life, highest single cell temperature, lowest single cell temperature, average power battery temperature, power battery inlet and outlet water temperature, actual power battery power, and power battery heating rate.

[0009] Optionally, uploading battery operating status information to the cloud platform to obtain thermal management strategies includes:

[0010] If the battery capacity, battery life, highest single cell temperature, lowest single cell temperature, average power battery temperature, power battery inlet and outlet water temperature, and actual power battery power do not meet the preset range, obtain the thermal management strategy of the cloud platform.

[0011] And / or,

[0012] When the heating rate of the power battery exceeds the preset rate, the thermal management strategy of the cloud platform is obtained, wherein the thermal management strategy of the cloud platform is determined based on the preset algorithm stored in the cloud platform.

[0013] Optionally, the aforementioned cloud platform also includes a power battery thermal management model, which includes the aforementioned preset algorithm.

[0014] The above methods also include:

[0015] Based on the aforementioned battery basic information and the aforementioned power battery thermal management model, the aforementioned thermal management strategy is determined, and / or,

[0016] Based on the aforementioned basic battery information and the aforementioned power battery thermal management model, the aforementioned preset range and battery life are revised.

[0017] Optionally, the battery thermal management based on the above thermal management strategy and the above execution priority includes:

[0018] Upon receiving the aforementioned thermal management strategy through the cloud interface and determining its execution priority, the vehicle management layer is invoked to determine management requirements. The vehicle management layer includes thermal insulation management, in-transit preheating or cooling management, and battery self-heating management.

[0019] Battery thermal management is implemented based on the management needs of the aforementioned management team.

[0020] Optionally, the battery thermal management based on the management needs of the aforementioned management team includes:

[0021] Based on the management needs obtained from the coordination layer, the mode control needs are determined, including electric drive cooling circuit control, battery circuit control and engine cooling circuit control.

[0022] Battery thermal management is based on the mode control requirements of the aforementioned coordination layer.

[0023] Optionally, the battery thermal management based on the mode control requirements of the aforementioned coordination layer includes:

[0024] Based on the control layer, the mode control requirements of the above coordination layer are obtained to determine the component control requirements, wherein the above component control requirements include fan control, water pump control, valve control, active air intake grille control, PTC control and EDC control.

[0025] Battery thermal management is implemented based on the aforementioned component control requirements.

[0026] Secondly, embodiments of the present invention also provide a cloud-based battery thermal management device, comprising:

[0027] The first determining unit is used to upload battery operating status information to the cloud platform to obtain thermal management strategies;

[0028] The second determining unit is used to receive the above-mentioned thermal management strategy and determine the execution priority of the above-mentioned thermal management strategy;

[0029] The management unit is used to perform battery thermal management based on the above thermal management strategy and the above execution priority.

[0030] To achieve the above objectives, according to a third aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed by a processor, the steps of the cloud-based battery thermal management method described above are implemented.

[0031] To achieve the above objectives, according to a fourth aspect of the present invention, an electronic device is provided, including at least one processor and at least one memory connected to the processor; wherein the processor is configured to invoke program instructions in the memory to execute the steps of the cloud-based battery thermal management method described above.

[0032] By employing the above technical solution, the cloud-based battery thermal management method and related equipment provided by this invention address the problem that current new energy vehicle battery thermal management systems reside on the vehicle side, occupying vehicle-side memory and lacking hierarchy, resulting in excessive redundancy. This invention uploads battery operating status information to the cloud platform to obtain thermal management strategies; receives the aforementioned thermal management strategies and determines their execution priority; and performs battery thermal management based on the thermal management strategies and execution priorities. In this solution, a reserved interface is provided between the vehicle side and external systems, and a series of logics, including battery thermal management, are determined by the cloud, with the vehicle side only executing them. This improves the coupling of vehicle-side module function execution while reducing the vehicle-side operating load.

[0033] Correspondingly, the cloud-based battery thermal management device, equipment, and computer-readable storage medium provided in the embodiments of the present invention also have the above-mentioned technical effects.

[0034] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0035] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0036] Figure 1 The diagram illustrates a flowchart of a cloud-based battery thermal management method according to an embodiment of the present invention.

[0037] Figure 2 This diagram illustrates a schematic block diagram of a cloud-based battery thermal management device according to an embodiment of the present invention.

[0038] Figure 3 This diagram illustrates the composition of a cloud-based battery thermal management electronic device according to an embodiment of the present invention. Detailed Implementation

[0039] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0040] To address the issues of current new energy vehicle battery thermal management systems being located on the vehicle side, consuming excessive vehicle memory, and lacking a clear hierarchy, this invention provides a cloud-based battery thermal management method. Figure 1 As shown, the method includes:

[0041] S101. Upload battery operating status information to the cloud platform to obtain thermal management strategies;

[0042] For example, the vehicle acquires battery operating status information based on sensors and sends it to the cloud platform to obtain thermal management strategies, instead of determining thermal management strategies based on the vehicle itself, thus saving the workload on the vehicle side.

[0043] S102. Receive the above thermal management strategy and determine the execution priority of the above thermal management strategy;

[0044] For example, since multiple thermal management strategies may be determined based on the battery operating status information sent by the vehicle based on different operating conditions, it is also necessary to determine the execution priority of the above thermal management strategies when the vehicle receives multiple thermal management strategies and the multiple thermal management strategies cannot be performed simultaneously.

[0045] S103. Perform battery thermal management based on the above thermal management strategy and the above execution priority.

[0046] For example, in existing technologies, power battery thermal management strategies are typically housed in several independent controllers, such as the BMS (Battery Management System) controller, the VCU (Vehicle Control Unit) controller, or a separate thermal management controller. Developing a new thermal management function often involves significant changes across the entire system, requiring the coordination of multiple controllers. In contrast, this method uses a central computer controller to divide the vehicle-side functional software into multiple layers with reserved external interfaces, including cloud control, preheating en route to fast charging stations, and power battery insulation functions. This enhances the hierarchical structure of the software modules and significantly reduces the coupling between modules and between software and hardware.

[0047] By employing the above technical solution, the cloud-based battery thermal management method provided by this invention addresses the problem that current new energy vehicle battery thermal management systems reside on the vehicle side, occupying vehicle memory and lacking hierarchy, resulting in excessive redundancy. This invention uploads battery operating status information to the cloud platform to obtain thermal management strategies; receives the aforementioned thermal management strategies and determines their execution priority; and performs battery thermal management based on the thermal management strategies and execution priorities. In this solution, a reserved interface is provided between the vehicle side and external systems, and a series of logics, including battery thermal management, are determined by the cloud, with the vehicle side only executing them. This improves the coupling of vehicle-side module functions and reduces the vehicle-side operating load.

[0048] In one embodiment, the battery operating status information includes at least one of the following: battery charge, battery life, highest single cell temperature, lowest single cell temperature, average power battery temperature, power battery inlet and outlet water temperature, actual power battery power, and power battery heating rate.

[0049] For example, during vehicle power-up, the vehicle and cloud complete anti-theft authentication, such as anti-theft authentication between TBOX (Telematics-BOX, vehicle networking system) and the cloud. The cloud obtains the vehicle's power battery information in real time, including but not limited to SOC (State of Charge), SOH (State of Health), highest single cell temperature, lowest single cell temperature, average power battery temperature, power battery inlet and outlet water temperature, and actual power of the power battery.

[0050] In one embodiment, uploading battery operating status information to a cloud platform to obtain thermal management strategies includes:

[0051] If the battery capacity, battery life, highest single cell temperature, lowest single cell temperature, average power battery temperature, power battery inlet and outlet water temperature, and actual power battery power do not meet the preset range, obtain the thermal management strategy of the cloud platform.

[0052] And / or,

[0053] When the heating rate of the power battery exceeds the preset rate, the thermal management strategy of the cloud platform is obtained, wherein the thermal management strategy of the cloud platform is determined based on the preset algorithm stored in the cloud platform.

[0054] For example, the operating range of a power battery can have fluctuating thresholds. For instance, the horizontal axis represents the battery cell temperature, and the vertical axis represents the battery cell voltage. For ternary lithium batteries, the normal operating range of the horizontal axis is typically -30 to 55°C. Temperatures above 55°C may pose a risk of thermal runaway, while temperatures below -30°C may lead to lithium crystallization. The vertical axis is typically 2.5V to 4.2V. Temperatures above 4.2V may lead to thermal runaway after overcharging, while temperatures below 2.5V may cause irreversible capacity degradation, which needs to be avoided. For power battery thermal management in driving scenarios (charging speed will be considered, and the thresholds will vary), under normal circumstances, the highest single cell temperature > 40°C will activate battery cooling, and the lowest single cell temperature < 0°C will activate battery heating. The most suitable temperature for a power battery is the standard ambient temperature of 25°C. The greater the difference from the standard ambient temperature, the greater the battery life degradation.

[0055] For example, the cloud retrieves preset algorithms and calibration data: the battery aging degree is determined based on the State of Health (SOH); when the SOH, State of Charge (SOC), and maximum / minimum cell temperature do not meet the preset range, active thermal management control of the power battery is triggered; further, the cloud corrects the thermal management temperature threshold based on the heat exchange capacity of the power battery, and optimizes and trains the power battery thermal management model based on key parameters such as the power battery inlet and outlet temperatures (fixed flow rate), cell temperature, and real-time power of the power battery; when the cloud determines that the power battery temperature rise rate is too fast, or the SOC is too high or too low, or the power battery SOH deviates from the threshold, active thermal management of the power battery is activated in advance.

[0056] For example, the cloud sends a thermal management strategy (heating or cooling) to the vehicle. After the vehicle's OIB (Automotive Intelligent Central Brain, a super central processor integrating information domain, body domain, energy domain, motion domain, and ADAS domain) central computing platform coordination layer obtains the thermal management strategy, it performs thermal management mode arbitration, coordination, and actuator control.

[0057] In one embodiment, the cloud platform further includes a power battery thermal management model, which includes the aforementioned preset algorithm.

[0058] The above methods also include:

[0059] Based on the aforementioned battery basic information and the aforementioned power battery thermal management model, the aforementioned thermal management strategy is determined, and / or,

[0060] Based on the aforementioned basic battery information and the aforementioned power battery thermal management model, the aforementioned preset range and battery life are revised.

[0061] For example, in the prior art, the thermal management threshold (including heating and cooling) of the power battery remains unchanged in driving, slow charging, and fast charging modes. However, as the service life of new energy vehicles increases, the battery life continuously declines, and the internal resistance of the power battery increases, resulting in greater heat generation (greater temperature rise rate) under the same operating environment and conditions. This may cause the power battery temperature to deviate further from the optimal range during use, leading to a further decrease in the lifespan of the power battery. However, the current thermal management threshold of the power battery does not take into account the energy consumption of the entire vehicle, in addition to considering the optimal temperature range of the power battery. For example, the number of cycles of the power battery at 35°C is higher than that at 40°C. However, in order to save energy, OEMs usually set the cooling threshold of the power battery higher. But as the health of the power battery deteriorates, more consideration needs to be given to the safety status of the power battery, rather than the energy consumption of the entire vehicle.

[0062] For example, the State of Health (SOH) of a power battery represents its health status or degree of aging, which can be quantitatively described by capacity or internal resistance, as shown in the formula:

[0063]

[0064] R EOL R represents the internal resistance at the end of the battery's lifespan. BOL R represents the internal resistance of the power battery immediately after it rolls off the production line. c This represents the current internal resistance of the power battery. As the power battery is used for a long time, the increase in internal resistance can be characterized by the State of Resistance (SOH). At this time, under the same charge and discharge rate, the smaller the SOH, the faster the temperature rise rate. The faster the temperature rise rate, the larger the absolute value of the deviation between the power battery cell temperature and the standard cell temperature, which leads to a faster rate of SOH decrease, forming a chronic vicious cycle. Since the cell temperature control strategy is a passive thermal management strategy, while the SOH, temperature rise rate and temperature control are active thermal management control strategies, this method aims to design the strategy in the cloud, monitor the health status of each vehicle battery based on big data, and dynamically adjust the power battery thermal management threshold to activate the power battery heating or cooling in advance.

[0065] In one embodiment, the battery thermal management based on the above-described thermal management strategy and execution priority includes:

[0066] Upon receiving the aforementioned thermal management strategy through the cloud interface and determining its execution priority, the vehicle management layer is invoked to determine management requirements. The vehicle management layer includes thermal insulation management, in-transit preheating or cooling management, and battery self-heating management.

[0067] Battery thermal management is implemented based on the management needs of the aforementioned management team.

[0068] For example, the algorithm of the management layer can be designed on OIB or in the cloud. The management layer is responsible for the upper-level functions that are perceptible and configurable to the user. For example, the user can trigger the power battery insulation function, the heating / cooling function on the way to the super fast charging station, the power battery self-heating function, or the cloud can perform special control based on the power battery status. Even if some functions of the management layer fail, it will not affect the normal control and use of the vehicle.

[0069] In one embodiment, the battery thermal management based on the management needs of the aforementioned management layer includes:

[0070] Based on the management needs obtained from the coordination layer, the mode control needs are determined, including electric drive cooling circuit control, battery circuit control and engine cooling circuit control.

[0071] Battery thermal management is based on the mode control requirements of the aforementioned coordination layer.

[0072] For example, the coordination layer is responsible for coordinating service interface calls between different modules. For instance, the thermal management coordination layer is divided into main mode control, electric drive cooling circuit control, battery circuit control, and engine cooling circuit control. Thermal management belongs to the Energy domain of the OIB platform architecture and makes interface service calls with the air conditioning thermal management circuit (Body domain). The main mode includes coolant filling, automatic exhaust, active cooling of the power battery, cooling of the front-end module, etc. A cloud control interface is set in the main mode. The cloud can rely on the mode design of the coordination layer, while the specific control logic is placed in the cloud.

[0073] In one embodiment, the battery thermal management based on the mode control requirements of the aforementioned coordination layer includes:

[0074] Based on the control layer, the mode control requirements of the above coordination layer are obtained to determine the component control requirements, which include fan control, water pump control, valve control, active air intake grille control, PTC (Positive Temperature Coefficient, heater) control and EDC (Electric Diesel Control, electric compressor controller) control.

[0075] Battery thermal management is implemented based on the aforementioned component control requirements.

[0076] In one embodiment, the OIB central computing platform thermal management control module includes the cloud platform, vehicle management layer, vehicle coordination layer, and vehicle control layer.

[0077] For example, the control layer is responsible for arbitrating, filtering, and calculating the control requirements of different loops; for thermal management functions, the control layer is divided into fan control, battery / motor / engine water pump control, active air intake grille control or diagnostics, valve control (three-way valve, four-way valve, and other directional valves), PTC / EDC demand power regulation, and filtering and limiting processing; the control layer is more inclined to design based on the electrical characteristics of components, such as speed gradient control, duty cycle and speed mapping, and power PID regulation.

[0078] For example, the sensor layer is responsible for the underlying software driver design of components; for components that interact via bus control, this layer does not need to be designed; such as the information interaction between OIB and EDC.

[0079] For example, in order to achieve a more efficient and agile development and loosely coupled software design architecture for the software architecture of electric drive or battery thermal management system in OIB central computing unit, this method divides the application layer software into management layer, coordination layer, control layer and actuator.

[0080] For example, controllers such as TBOX, OIB, PTC, EDC, MCU (drive motor controller), and BMS (battery management system) belong to the vehicle-side control system, while DVCP (remote communication service provider, responsible for data routing on Tbox and uploading data according to national standards), cloud platform, and mobile APP belong to the external connection system. The above architecture omits temperature sensors and actuators related to thermal management control. To achieve the power battery heating function, the BMS controller first provides information such as cell temperature, battery pack inlet and outlet water temperature, and power battery temperature rise rate. The MCU provides the water temperature of the electric drive circuit. The OIB simultaneously obtains the ambient temperature, vehicle power mode, and operating mode (fast charging, slow charging, and Ready scenario). The heating method is controlled according to the predetermined control strategy, selecting electric drive waste heat, engine waste heat, heat pump heating, or PTC heating. All of the above information is transmitted by the vehicle-side control system through CANFD / CAN / LIN / Ethernet.

[0081] For example, if a user can manage charging and heat preservation via a mobile app, it involves external vehicle control: First, the user triggers the heat preservation function in the app interface. The app transmits charging information and departure time to the TBOX terminal via the cloud. The cloud or TBOX terminal is responsible for the timing function. When the cloud predicts that heating the power battery at a certain time will ensure that the power battery reaches the heat preservation threshold when the user departs, it wakes up the entire vehicle, sends a high-voltage request for thermal management, and uses the charging pile to control the heating and heat preservation of the power battery. The information transmission from the app, DVCP, cloud platform, and TBOX is 4G or 5G wireless signal transmission. Here, the DVCP acts as an external gateway router, uploading national standard signals to the national cloud platform and custom signals to the app. The DVCP does not perform any control algorithms, while the cloud platform can be an internal cloud platform for the vehicle's parent company to develop applications, which can perform big data tracking, user reminders and warnings, and some software function algorithm design.

[0082] For example, with the advent of the era of big data, artificial intelligence, and 5G communication, the application of V2X technology can optimize the traffic environment, reduce traffic accidents, liberate drivers, and improve social well-being. V2X mainly includes V2V (vehicle-to-vehicle), V2I (vehicle-to-infrastructure), V2P (vehicle-to-people), and V2N (vehicle-to-network). A key approach to realizing V2X technology requires cloud platform control to achieve the Internet of Things. As the demands for intelligent, connected, and functionally diverse vehicles increase daily, the current storage capacity and CPU computing power of on-board chips are already stretched thin. Therefore, we hope to place some complex and time-sensitive control tasks on cloud platforms with more powerful computing and storage capabilities. Vehicle control algorithm improvements and optimizations must rely on OTA (Over-The-Air Technology) software upgrades; however, cloud-based control optimization can reduce reliance on OTA. Therefore, this method moves some on-board control, personalized, and customized functions to the cloud. It's understandable that the real-time requirements of cloud control tasks cannot be too high; for example, tasks with 5ms, 10ms, or 50ms timeframes still need to be handled on the on-board. Tasks such as route planning, mileage prediction, and charging reservation control can be computed in the cloud, with the on-board simply providing the necessary service interfaces.

[0083] For example, in recent years, the vehicle-side EE (Electrical and Electronic) architecture has undergone tremendous changes, from the initial distributed ECU control to the current centralized ECU control. A small number of high-performance computing units replace a large number of ECUs, which reduces the number of wiring harnesses and ECUs, and gradually decouples software and hardware to support increasingly complex vehicle software models. The current trend path of vehicle-side control is: distributed ECU architecture to domain control DCU architecture, and finally to the central brain OIB central platform computing architecture. In this method, the EE architecture is based on the OIB central platform computing architecture.

[0084] For example, current cloud-based control solutions mainly include remote vehicle reminders / warnings, remote charging reservations, remote air conditioning start-up, remote information query, and remote control of windows / door locks / lights. There are few active controls for vehicle safety, and no car manufacturers have yet put the algorithms related to vehicle thermal management control in the cloud. Most of the vehicle thermal management control logic mentioned in this method is placed on the vehicle side, and the current power battery thermal management logic only considers the highest and lowest individual cell temperatures of the power battery and simple driving and charging scenarios.

[0085] Furthermore, as a response to the above Figure 1In addition to the method shown, this embodiment of the invention also provides a cloud platform-based battery thermal management device for the above-mentioned... Figure 1 The method shown is implemented accordingly. This device embodiment corresponds to the foregoing method embodiment. For ease of reading, this device embodiment will not repeat the details of the foregoing method embodiment, but it should be clear that the device in this embodiment can implement all the contents of the foregoing method embodiment. Figure 2 As shown, the device includes: a first determining unit 21, a second determining unit 22, and a management unit 23, wherein...

[0086] The first determining unit 21 is used to upload battery operating status information to the cloud platform to obtain thermal management strategies;

[0087] The second determining unit 22 is used to receive the above-mentioned thermal management strategy and determine the execution priority of the above-mentioned thermal management strategy;

[0088] Management unit 23 is used to perform battery thermal management based on the above thermal management strategy and the above execution priority.

[0089] For example, the battery operating status information mentioned above includes at least one of the following: battery charge, battery life, highest single cell temperature, lowest single cell temperature, average temperature of the power battery, inlet and outlet water temperature of the power battery, actual power of the power battery, and power battery heating rate.

[0090] For example, uploading battery operating status information to the cloud platform to obtain thermal management strategies includes:

[0091] If the battery capacity, battery life, highest single cell temperature, lowest single cell temperature, average power battery temperature, power battery inlet and outlet water temperature, and actual power battery power do not meet the preset range, obtain the thermal management strategy of the cloud platform.

[0092] And / or,

[0093] When the heating rate of the power battery exceeds the preset rate, the thermal management strategy of the cloud platform is obtained, wherein the thermal management strategy of the cloud platform is determined based on the preset algorithm stored in the cloud platform.

[0094] For example, the aforementioned cloud platform also includes a power battery thermal management model, which includes the aforementioned preset algorithm.

[0095] The above methods also include:

[0096] Based on the aforementioned battery basic information and the aforementioned power battery thermal management model, the aforementioned thermal management strategy is determined, and / or,

[0097] Based on the aforementioned basic battery information and the aforementioned power battery thermal management model, the aforementioned preset range and battery life are revised.

[0098] For example, the battery thermal management based on the above thermal management strategy and the above execution priority includes:

[0099] Upon receiving the aforementioned thermal management strategy through the cloud interface and determining its execution priority, the vehicle management layer is invoked to determine management requirements. The vehicle management layer includes thermal insulation management, in-transit preheating or cooling management, and battery self-heating management.

[0100] Battery thermal management is implemented based on the management needs of the aforementioned management team.

[0101] For example, the battery thermal management based on the management needs of the aforementioned management layer includes:

[0102] Based on the management needs obtained from the coordination layer, the mode control needs are determined, including electric drive cooling circuit control, battery circuit control and engine cooling circuit control.

[0103] Battery thermal management is based on the mode control requirements of the aforementioned coordination layer.

[0104] For example, the battery thermal management based on the mode control requirements of the aforementioned coordination layer includes:

[0105] Based on the control layer, the mode control requirements of the above coordination layer are obtained to determine the component control requirements, wherein the above component control requirements include fan control, water pump control, valve control, active air intake grille control, PTC control and EDC control.

[0106] Battery thermal management is implemented based on the aforementioned component control requirements.

[0107] By employing the above technical solution, the cloud-based battery thermal management device provided by this invention addresses the problem that current new energy vehicle battery thermal management systems reside on the vehicle side, occupying vehicle-side memory and lacking hierarchy, resulting in excessive redundancy. This invention addresses this issue by uploading battery operating status information to the cloud platform to obtain thermal management strategies; receiving these strategies and determining their execution priorities; and performing battery thermal management based on the strategies and priorities. In this solution, a reserved interface is provided between the vehicle side and external systems, and a series of logics, including battery thermal management, are determined by the cloud, with the vehicle side only executing them. This improves the coupling of vehicle-side module functions and reduces the vehicle-side operating load.

[0108] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and by adjusting kernel parameters, a cloud-based battery thermal management method can be implemented. This method addresses the current issues of new energy vehicle battery thermal management being stored on the vehicle side, consuming vehicle-side memory, and lacking hierarchy and being overly redundant.

[0109] This invention provides a computer-readable storage medium including a stored program that, when executed by a processor, implements the aforementioned cloud-based battery thermal management method.

[0110] This invention provides a processor for running a program, wherein the program executes the cloud-based battery thermal management method.

[0111] This invention provides an electronic device, which includes at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the cloud-based battery thermal management method described above.

[0112] This invention provides an electronic device 30, such as... Figure 3 As shown, the electronic device includes at least one processor 301, and at least one memory 302 and bus 303 connected to the processor; wherein, the processor 301 and the memory 302 communicate with each other through the bus 303; the processor 301 is used to call program instructions in the memory to execute the above-mentioned cloud platform-based battery thermal management method.

[0113] The smart electronic devices mentioned in this article can be PCs, tablets, mobile phones, etc.

[0114] This application also provides a computer program product, which, when executed on a process management electronic device, is suitable for executing a program that initializes the following method steps:

[0115] Upload battery operating status information to the cloud platform to obtain thermal management strategies; receive the aforementioned thermal management strategies and determine their execution priority; perform battery thermal management based on the aforementioned thermal management strategies and execution priorities.

[0116] Furthermore, the aforementioned battery operating status information includes at least one of the following: battery charge, battery life, highest single cell temperature, lowest single cell temperature, average power battery temperature, power battery inlet and outlet water temperature, actual power battery power, and power battery heating rate.

[0117] Furthermore, the aforementioned process of uploading battery operating status information to the cloud platform to obtain thermal management strategies includes:

[0118] If the battery capacity, battery life, highest single cell temperature, lowest single cell temperature, average power battery temperature, power battery inlet and outlet water temperature, and actual power battery power do not meet the preset range, obtain the thermal management strategy of the cloud platform.

[0119] And / or,

[0120] When the heating rate of the power battery exceeds the preset rate, the thermal management strategy of the cloud platform is obtained, wherein the thermal management strategy of the cloud platform is determined based on the preset algorithm stored in the cloud platform.

[0121] Furthermore, the aforementioned cloud platform also includes a power battery thermal management model, which incorporates the aforementioned preset algorithm.

[0122] The above methods also include:

[0123] Based on the aforementioned battery basic information and the aforementioned power battery thermal management model, the aforementioned thermal management strategy is determined, and / or,

[0124] Based on the aforementioned basic battery information and the aforementioned power battery thermal management model, the aforementioned preset range and battery life are revised.

[0125] Furthermore, the battery thermal management based on the aforementioned thermal management strategy and execution priority includes:

[0126] Upon receiving the aforementioned thermal management strategy through the cloud interface and determining its execution priority, the vehicle management layer is invoked to determine management requirements. The vehicle management layer includes thermal insulation management, in-transit preheating or cooling management, and battery self-heating management.

[0127] Battery thermal management is implemented based on the management needs of the aforementioned management team.

[0128] Furthermore, the battery thermal management based on the aforementioned management needs includes:

[0129] Based on the management needs obtained from the coordination layer, the mode control needs are determined, including electric drive cooling circuit control, battery circuit control and engine cooling circuit control.

[0130] Battery thermal management is based on the mode control requirements of the aforementioned coordination layer.

[0131] Furthermore, the battery thermal management based on the mode control requirements of the aforementioned coordination layer includes:

[0132] Based on the control layer, the mode control requirements of the above coordination layer are obtained to determine the component control requirements, wherein the above component control requirements include fan control, water pump control, valve control, active air intake grille control, PTC control and EDC control.

[0133] Battery thermal management is implemented based on the aforementioned component control requirements.

[0134] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0135] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0136] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0137] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0138] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0139] This application also provides a computer program product, which includes computer software instructions that, when executed on a processing device, cause the processing device to perform actions such as... Figure 1 The control flow of the memory in the corresponding embodiment.

[0140] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0141] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0142] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0143] 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 network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0144] 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.

[0145] 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 of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0146] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A battery thermal management method based on a cloud platform, characterized in that, include: Upload battery operating status information to the cloud platform to obtain thermal management strategies; Receive the thermal management strategy and determine the execution priority of the thermal management strategy; Battery thermal management is performed based on the aforementioned thermal management strategy and the aforementioned execution priority. The battery thermal management based on the thermal management strategy and the execution priority includes: Upon receiving the thermal management strategy through the cloud interface and determining the execution priority of the thermal management strategy, the vehicle management layer is invoked to determine management requirements. The vehicle management layer includes thermal insulation management, in-transit preheating or cooling management, and battery self-heating management. Battery thermal management is performed based on the management needs of the aforementioned management level. The battery thermal management based on the management needs of the management layer includes: Based on the management requirements of the management layer obtained by the coordination layer, the mode control requirements are determined, wherein the mode control requirements include electric drive cooling circuit control, battery circuit control and engine cooling circuit control. Battery thermal management is performed based on the mode control requirements of the coordination layer. The battery thermal management based on the mode control requirements of the coordination layer includes: The control layer obtains the mode control requirements of the coordination layer to determine the component control requirements, wherein the component control requirements include fan control, water pump control, valve control, active grille control, PTC control and EDC control; Battery thermal management is performed based on the control requirements of the aforementioned components.

2. The method according to claim 1, characterized in that, The battery operating status information includes at least one of the following: battery charge, battery life, highest single cell temperature, lowest single cell temperature, average power battery temperature, power battery inlet and outlet water temperature, actual power battery power, and power battery heating rate.

3. The method according to claim 2, characterized in that, Uploading battery operating status information to the cloud platform to obtain thermal management strategies includes: If the battery charge, battery life, highest single cell temperature, lowest single cell temperature, average power battery temperature, power battery inlet and outlet water temperature, and actual power battery power do not meet the preset range, the thermal management strategy of the cloud platform is obtained. And / or, When the heating rate of the power battery is greater than a preset rate, the thermal management strategy of the cloud platform is obtained, wherein the thermal management strategy of the cloud platform is determined based on a preset algorithm stored in the cloud platform.

4. The method according to claim 3, characterized in that, The cloud platform also includes a power battery thermal management model, which includes the preset algorithm. The method further includes: The thermal management strategy is determined based on the battery operating status information and the power battery thermal management model, and / or, The preset range and battery life are corrected based on the battery operating status information and the power battery thermal management model.

5. A battery thermal management device based on a cloud platform, characterized in that, include: The first determining unit is used to upload battery operating status information to the cloud platform to obtain thermal management strategies; The second determining unit is used to receive the thermal management strategy and determine the execution priority of the thermal management strategy; The management unit is used to perform battery thermal management based on the thermal management strategy and the execution priority; The battery thermal management based on the thermal management strategy and the execution priority includes: Upon receiving the thermal management strategy through the cloud interface and determining the execution priority of the thermal management strategy, the vehicle management layer is invoked to determine management requirements. The vehicle management layer includes thermal insulation management, in-transit preheating or cooling management, and battery self-heating management. Battery thermal management is performed based on the management needs of the aforementioned management level. The battery thermal management based on the management needs of the management layer includes: Based on the management requirements of the management layer obtained by the coordination layer, the mode control requirements are determined, wherein the mode control requirements include electric drive cooling circuit control, battery circuit control and engine cooling circuit control. Battery thermal management is performed based on the mode control requirements of the coordination layer. The battery thermal management based on the mode control requirements of the coordination layer includes: The control layer obtains the mode control requirements of the coordination layer to determine the component control requirements, wherein the component control requirements include fan control, water pump control, valve control, active grille control, PTC control and EDC control; Battery thermal management is performed based on the control requirements of the aforementioned components.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed by a processor, it implements the steps of the cloud-based battery thermal management method as described in any one of claims 1 to 4.

7. An electronic device, characterized in that, The electronic device includes at least one processor and at least one memory connected to the processor; wherein the processor is configured to call program instructions in the memory to execute the steps of the cloud-based battery thermal management method as described in any one of claims 1 to 4.

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