Force regulation and control method and device for postponing battery thermal runaway and electronic equipment

Abstract

The invention provides a force regulation and control method and device for postponing thermal runaway of a battery and electronic equipment, and belongs to the field of battery safety. The problem that the thermal runaway triggering time cannot be delayed by actively adjusting the internal pressure and the heat conduction path of the battery at present is solved. The invention discloses a force regulation and control method for delaying thermal runaway of a battery. The method comprises the following steps: collecting data of the battery in real time; dynamically generating a comprehensive state matrix according to the collected data; generating a force regulation strategy according to the comprehensive state matrix; and changing the internal pressure distribution of the battery according to the force regulation strategy. The device is mainly used for regulating and controlling the force of the battery.

Description

Technical Field

[0001] The present invention belongs to the field of battery safety, and in particular relates to a force control method, device and electronic equipment for delaying thermal runaway of a battery. Background Art

[0002] Lithium-ion batteries have been widely used in energy storage and power fields due to their high energy density and long cycle life. However, with the continuous improvement of battery energy density, its safety issues have become increasingly prominent, among which thermal runaway has become one of the key risks affecting battery safety. Thermal runaway is usually triggered by factors such as local overheating, internal short circuit or lithium precipitation. Its process includes heat accumulation, chain reaction initiation and rapid diffusion, which often occurs in a very short time, leading to catastrophic consequences.

[0003] Existing technologies mainly focus on passive protection or thermal management after thermal runaway, such as reducing heat accumulation through heat sinks, coolants or heat pipes. However, these methods have a delayed response time, making it difficult to effectively intervene in the early stages of thermal runaway. In addition, uneven pressure distribution inside the battery often triggers the growth of lithium dendrites, and local heat accumulation further exacerbates the risk of thermal runaway, while existing technologies still have gaps in actively adjusting pressure distribution.

[0004] In summary, there is currently no technical means to actively intervene in the early stages of thermal runaway, optimize internal pressure and heat conduction paths, and delay the triggering time of thermal runaway. Summary of the invention

[0005] In view of this, the present invention aims to propose a patent name to solve the current problem that it is impossible to actively adjust the internal pressure and heat conduction path of the battery to delay the triggering time of thermal runaway.

[0006] To achieve the above object, the present invention adopts the following technical solution. According to a first aspect of the present invention, a force control method for delaying thermal runaway of a battery is provided, comprising the following steps:

[0007] Collect battery data in real time;

[0008] Dynamically generate a comprehensive state matrix based on collected data;

[0009] generating a force regulation strategy according to the comprehensive state matrix;

[0010] The pressure distribution inside the battery is changed according to the force regulation strategy.

[0011] Furthermore, the data includes temperature data, voltage data and current data.

[0012] Furthermore, the comprehensive state matrix includes several dynamic intervals of operating parameters of the battery.

[0013] Furthermore, the force control strategy is:

[0014] F=K T f(T)+K V f(V)+K I f(I)

[0015] Where F is the target force applied, K T is the temperature weight coefficient, K V is the voltage weight coefficient, K I is the current weight coefficient, f(T) is the temperature value, f(V) is the voltage value, and f(I) is the current value.

[0016] Furthermore, the transition formula from the current force to the target force is:

[0017] F(t)=F 当前 +α(t)*(F 目标 -F 当前 ), 0<t<T

[0018] Where α(t) is the transition function that changes with t, satisfying α(0)=0, α(T)=1, t is the current time, and T is the transition time interval.

[0019] Furthermore, the transition function is:

[0020]

[0021] In the formula, k1, k2, k3 are weight coefficients, and β is the adjustment parameter to control the exponential growth rate.

[0022] According to a second aspect of the present invention, there is provided a force control device for delaying thermal runaway of a battery, comprising: a collection module for collecting data of the battery in real time;

[0023] A comprehensive state matrix generation module is used to dynamically generate a comprehensive state matrix based on the collected data;

[0024] A force control strategy generation module generates a force control strategy according to a comprehensive state matrix;

[0025] The pressure adjustment module is used to change the internal pressure distribution of the battery according to the force regulation strategy.

[0026] Furthermore, the acquisition module includes:

[0027] Temperature sensor, used to monitor battery temperature changes in real time;

[0028] Voltage sensor, used to monitor battery voltage changes in real time;

[0029] Current sensor, used to monitor the changes of battery load current in real time.

[0030] Furthermore, the pressure adjustment module includes a pressure equalizing end covering the surface of the battery and a driving component for driving the pressure equalizing end to move.

[0031] According to a third aspect of the present invention, there is provided an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the above method.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] 1. This method develops a control strategy by monitoring battery parameters, thereby actively adjusting the pressure applied to the battery. The adjustment is more precise and can balance the pressure inside and outside the battery, reduce lithium precipitation and the formation of lithium dendrites, and change the heat transfer path, thereby reducing the risk of abuse and delaying the occurrence of thermal runaway.

[0034] 2. This method can adjust the force application process through the force control strategy, achieve a smooth transition of force, ensure smooth control, and avoid sudden shocks. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0036] Figure 1 A flow chart of a force control method for delaying thermal runaway of a battery according to the present invention;

[0037] Figure 2 A schematic diagram of a force control method for delaying thermal runaway of a battery according to the present invention;

[0038] Figure 3 It is the comprehensive state matrix logic flow chart of the present invention;

[0039] Figure 4 It is a schematic diagram of the force control force curve of the present invention;

[0040] Figure 5 It is a schematic diagram of the transition factor growth curve of the present invention;

[0041] Figure 6 This is a structural block diagram of a force control device for delaying thermal runaway of a battery according to the present invention;

[0042] Figure 7 A schematic diagram of an electronic device according to the present invention;

[0043] Figure 8 It is a structural schematic diagram of the pressure adjustment module described in the present invention. DETAILED DESCRIPTION

[0044] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0045] The following describes a force control method, device and electronic device for delaying thermal runaway of a battery according to an embodiment of the present invention with reference to the accompanying drawings. In view of the problem mentioned in the background technology center that it is currently impossible to actively adjust the internal pressure and heat conduction path of the battery to delay the triggering time of thermal runaway, the present invention provides a force control method for delaying thermal runaway of a battery. In this method, by monitoring the battery parameters, the battery pressure can be actively adjusted, and the pressure distribution and heat transfer path can be changed. In this way, the problem of too fast triggering time of thermal runaway is solved.

[0046] Specifically, Figure 1 A schematic flow chart of a force control method for delaying thermal runaway of a battery provided by an embodiment of the present invention.

[0047] like Figure 1 As shown, the method comprises the following steps:

[0048] In step S101, the battery data is collected in real time, and the data includes temperature data, voltage data and current data. Specifically, the data collection is completed through the collection module. The data collection module is one of the core modules and is responsible for collecting the key parameters of temperature, voltage and current during the operation of the battery in real time to identify early signs of thermal runaway triggering and provide accurate data support for subsequent power control strategies.

[0049] In step S102, a comprehensive state matrix is ​​dynamically generated according to the collected data, wherein the comprehensive state matrix includes several dynamic intervals of operating parameters of the battery, specifically including a dynamic interval of a temperature parameter, a dynamic interval of a voltage parameter, and a dynamic interval of a current parameter.

[0050] In step S103, a force control strategy is generated according to the comprehensive state matrix.

[0051] In step S104, the pressure distribution inside the battery is changed according to the force control strategy.

[0052] In order to achieve refined thermal management of the battery, this system divides the battery's operating state into multiple dynamic intervals, each of which corresponds to a different control strategy. The main reasons for this multi-interval division include:

[0053] Refined management: By subdividing the battery's operating status, the system can implement more precise battery management measures based on the battery's real-time status and optimize the battery's internal mechanical environment and heat transfer path.

[0054] Adaptability: Dynamically adjust the control strategy according to performance changes in different usage stages and working conditions to adapt to the dynamic changes in battery performance.

[0055] Risk prevention: In the early stage of thermal runaway, actively adjust the internal pressure and chemical reaction environment, optimize the heat transfer path, reduce heat accumulation and dendrite risks, and delay thermal runaway.

[0056] The threshold for interval division is dynamically set based on the battery's thermal conduction model, electrochemical characteristics and actual operating data, and takes into account factors such as battery type, working scenario, environmental conditions, safe operating range, historical data and aging status to effectively prevent thermal runaway.

[0057] The power control strategy is closely related to the temperature, voltage, and current state of the battery, and the control intensity will be dynamically adjusted according to the changes in these parameters. The comprehensive state matrix analyzes these multi-stage parameters and intelligently controls the battery management strategy to ensure accurate and adaptable thermal management.

[0058] The comprehensive state matrix achieves intelligent and precise battery management by flexibly combining the multi-stage states of temperature, voltage and current. The construction principles of the matrix include:

[0059] Multi-stage dynamic division: The multi-stage states of temperature, voltage and current are dynamically divided according to real-time monitoring data. The specific values ​​of the intervals are not fixed and support flexible adjustment. Flexible adjustment can be made according to the battery type. Conventional tests can be carried out first to measure the temperature range, voltage range and current range of the battery. Then the temperature, voltage and current data in the limit state can be measured. The state division can be determined according to the data range and the limit state data. For example, under certain temperature, voltage and current conditions, the corresponding force adjustment strategy can be adopted. Reasonable selection can be made according to actual experiments. This is not exhaustive.

[0060] Flexible state combination: The stages of each parameter are freely combined to form a comprehensive state matrix. The specific number and form of combinations are determined by actual needs, and no fixed pattern is required.

[0061] Dynamic mapping of control strategies: Each state is dynamically mapped to the corresponding control strategy, ensuring efficient and safe battery management under diverse working conditions.

[0062] Example of state mapping:

[0063] State 1 (temperature A, normal voltage, normal current): no regulation is performed.

[0064] State 2 (temperature B, voltage slightly abnormal, current high load): apply slight regulation.

[0065] State 3 (temperature C, severe voltage anomaly, current overload): Apply strong control.

[0066] State 4 (temperature D, severe voltage abnormality, current overload): triggers the emergency control mechanism, quickly lowers the temperature and switches to protection mode.

[0067] Through the above structure, the system can optimize the mechanical environment and heat transfer path of the battery in real time according to the real-time operating status and thermal runaway risk of the battery, significantly improving the safety and stability of the battery system.

[0068] In this embodiment, the force regulation can be continuous or discrete, depending on the current state and the preset regulation strategy. In either case, the force regulation actuator gradually adjusts the current force to the target force to ensure smooth regulation and avoid sudden shocks. The force regulation strategy is:

[0069] F=K T f(T)+K V f(V)+K I f(I)

[0070] Where F is the target force applied, K T is the temperature weight coefficient, K V is the voltage weight coefficient, K I is the current weight coefficient, which is dynamically adjusted by the controller, f(T) is the temperature value, f(V) is the voltage value, and f(I) is the current value. f(T), f(V) and f(I) are specifically obtained through measurement. For discrete changes in force: the force control value is calculated according to the current state in the comprehensive state matrix. Each state corresponds to a specific force value. These force values ​​are pre-defined and stored in the lookup table. According to the specific data obtained from the experiment, they can be reasonably set according to the corresponding type of battery. The force control execution module selects the corresponding force value from the lookup table according to the current state and adjusts it to the target value. The force value has different value ranges depending on the operating conditions and conditions of different batteries. It can be reasonably matched according to the f(T), f(V) and f(I) value ranges of the battery used. When the state is switched, the force changes slowly from the current value to the target value, following the following rules:

[0071] Low priority state: linearly increasing force;

[0072] Medium priority status: exponential growth force;

[0073] High priority state: S-shaped smooth growth to ensure stable force changes.

[0074] The above priority classification is for illustration only. The number of priorities and force application rules can be dynamically adjusted according to the specific system and multi-stage status requirements.

[0075] In the process of force regulation, in order to avoid the impact of sudden changes in force on the battery structure or system, the interpolation method is used to make the current force F 当前 Smooth transition to target force F 目标 The transition formula from current force to target force is:

[0076] F(t)=F 当前 +α(t)*(F 目标 -F 当前 ), 0<t<T

[0077] Where α(t) is the transition function that changes with t, satisfying α(0)=0, α(T)=1, t is the current time, and T is the transition time interval.

[0078] In this embodiment, the transition function is:

[0079]

[0080] In the formula, k1, k2, k3 are weight coefficients, and β is the adjustment parameter to control the exponential growth rate.

[0081] Corresponding to the rules:

[0082] Low priority state: linear increase, the transition function is: Features: Constant growth rate, simple and easy to implement, suitable for low-priority states (such as state A to state B).

[0083] Medium priority state: exponential growth, transition function: α(t) = 1-e -βt , β is a tuning parameter that controls the exponential growth rate and is suitable for larger changes or high-priority states (such as state B to C).

[0084] High priority state: S-shaped growth (smooth transition), the transition function is: or γ is a regulation parameter that controls the steepness of the growth curve. Features: Slow growth in the initial stage, gradually stabilizing when approaching the target value. It is used in situations with large changes and high requirements for control accuracy to ensure smooth transition (such as state C to D).

[0085] The above states are selected according to the weight coefficient. For example, when the priority is low, k1=1, k2=k3=0, and linear growth is completely adopted; when the priority is high, the proportions of k2 and k3 are gradually increased.

[0086] To further improve safety, the system is equipped with multiple redundant protection logics, which automatically trigger external cooling devices or power-off protection in extreme conditions (such as temperatures > 70°C).

[0087] Secondly, refer to the attached Figure 6 A force control device for delaying thermal runaway of a battery according to an embodiment of the present invention is described.

[0088] Figure 6 It is a block diagram of a force control device for delaying thermal runaway of a battery according to an embodiment of the present invention.

[0089] like Figure 6 As shown, the force control device for delaying battery thermal runaway includes:

[0090] The acquisition module 201 is used to acquire battery data in real time;

[0091] A comprehensive state matrix generation module 202 is used to dynamically generate a comprehensive state matrix according to the collected data;

[0092] A force control strategy generation module 203 generates a force control strategy according to the comprehensive state matrix;

[0093] The pressure adjustment module 204 is used to change the pressure distribution inside the battery according to the force control strategy.

[0094] Wherein, the acquisition module includes:

[0095] Temperature sensor is used to monitor battery temperature changes in real time. The temperature sensor is used to monitor the temperature of the battery surface and key locations in real time. It can capture temperature anomalies in local overheating areas. The response time is less than 1 second. The measurement range is -40°C to 125°C, and the accuracy reaches ±0.5°C. To improve the monitoring coverage, the sensor supports distributed deployment and can accurately monitor different units in the battery pack.

[0096] Voltage sensors are used to monitor battery voltage changes in real time. Voltage sensors monitor voltage changes of battery cells and modules in real time to identify minor anomalies in the electrochemical state. These voltage fluctuations are often important precursors to thermal runaway. The sensors have high accuracy (±0.02V) and a response time of less than 1 second, which can capture rapid voltage fluctuations and ensure timely analysis of the electrochemical environment; and

[0097] Current sensor, used to monitor changes in battery load current in real time. The current sensor is mainly used to monitor changes in battery load current, especially to identify peak loads and overload conditions. These current anomalies may cause local overheating, thereby significantly increasing the risk of thermal runaway. The sensor also has high accuracy (±1%) and a response time of less than 1 second, which can quickly capture current fluctuations and provide support for real-time force control decisions. Through the coordinated work of the above three types of sensors, the monitoring unit can accurately identify early risk characteristics related to thermal runaway in the battery operating state.

[0098] As for sensor layout, in order to achieve comprehensive monitoring and efficient thermal management of the battery system while controlling costs, temperature sensors are deployed in key thermal management areas of the battery, including the center of the outer surface of the battery cell, battery terminals, battery connection points, and areas where heat dissipation is difficult, such as those close to the battery casing. The selection of these key locations is based on the simulation results of the heat conduction model, which ensures the rapid identification of the overall thermal state of the battery and local overheating areas. Through model prediction, accurate layout in key areas is achieved, the number of sensors is reduced, and good thermal state monitoring coverage is maintained.

[0099] Voltage sensors are deployed at the interfaces of battery cells and modules, especially in areas with dense load current, such as terminals, connection points and module interfaces. The arrangement of sensors at these locations helps to accurately monitor the electrochemical state of the battery, capture voltage fluctuations and anomalies, and detect potential thermal runaway risks early.

[0100] Deploy current sensors at the battery input / output ports to monitor the overall load current changes of the battery system. Increase the density of sensors in areas where high loads and current spikes are prone to occur to identify overload conditions in advance and avoid local overheating. By specifically monitoring these areas, battery overload problems can be effectively predicted and handled in a timely manner.

[0101] Sensor redundancy and dynamic adjustment: In order to reduce costs and ensure monitoring coverage, sensors can work in turns according to the actual working conditions and real-time needs of the battery module to reduce redundancy. In some key areas, composite sensors with integrated multiple functions are used to reduce the number of sensors and improve the efficiency of data collection. Through this optimization, the efficiency and accuracy of the battery monitoring system are improved, and the cost is effectively controlled by reducing the number of sensors and dynamic adjustment.

[0102] The comprehensive state matrix generation module 202 and the force control strategy generation module 203 are deployed in the controller, responsible for comprehensive analysis of the temperature, voltage and current data collected by the monitoring unit, generating a dynamic comprehensive state matrix, thereby evaluating the early risk of thermal runaway of the battery, and calculating the corresponding force control strategy in real time. The controller adopts a multi-parameter fusion algorithm to convert the monitoring data into a staged risk state, ensure the accuracy and real-time nature of the control decision, and generate a force control strategy based on the comprehensive state matrix. In order to cope with the dynamic changes in the performance of the battery at different use stages (such as new batteries and aging batteries), the controller has a built-in self-learning algorithm that can automatically optimize the control parameters based on the battery aging state, historical operating data and environmental changes. Through the self-learning process, the controller can continuously improve the adaptability and effectiveness of the force control strategy. The self-learning algorithm can use existing technology. In addition, the controller supports dynamic adjustment of the multi-stage state division of temperature, voltage and current. Different from the traditional fixed threshold division method, the controller of the present invention divides the monitoring parameters into multi-stage dynamic states according to real-time data changes. For example, the temperature state can dynamically adjust the start and end thresholds of the high temperature stage according to the real-time operating conditions, while the state division of voltage and current is optimized in combination with the battery type and operating environment. This dynamic division mode enables the system to flexibly adapt to the risk of battery thermal runaway under different operating conditions and provide the optimal control solution.

[0103] The pressure adjustment module includes a pressure equalizing terminal covering the surface of the battery and a driving component for driving the pressure equalizing terminal. The pressure adjustment module accurately controls the pressure distribution inside the battery, optimizes the mechanical environment, reduces the electrochemical risk caused by local high pressure, and effectively delays the triggering of thermal runaway.

[0104] like Figure 8 As shown, the pressure adjustment module specifically includes a force plate 1, a hydraulic cylinder 2, a pressure distribution plate 3 and a base clamp 6. The pressure distribution plate 3 is used as a driving pressure equalizing end, and the hydraulic cylinder 2 is used as a driving component. The force plate 1 provides support for the cylinder body of the hydraulic cylinder 2. The hydraulic cylinder 2 drives the pressure distribution plate 3 to move through the hydraulic rod action, thereby changing the distance between the pressure distribution plate 3 and the battery module 4, thereby changing the pressure on the battery module 4. The pressure distribution plate 3 can balance the pressure on the battery module 4 to prevent the occurrence of uneven pressure and cause danger. The base clamp 6 is used to support the battery module 4. The sensor 5 includes the above-mentioned various sensors, which can be arranged according to the above-mentioned arrangement. The pressure distribution plate 3 can also be replaced with a flexible pressure pad as needed, which is made of high-strength composite materials and arranged on the surface of the battery module for uniformly transmitting mechanical force and adjusting the internal pressure distribution of the battery. Correspondingly, the hydraulic cylinder 2 is replaced with a micro-motor driver, which is connected to the flexible pressure pad for accurately controlling the force application point and force application strength, and supporting the flexible pressure pad to perform local, cross-surface and cross-battery displacement on the battery surface.

[0105] The controller can also include a data storage and communication unit responsible for real-time recording of key operating data of the battery system, including parameters such as temperature, voltage and current. The unit is equipped with configurable storage modules to meet the data storage capacity requirements of different battery systems and ensure data integrity and traceability.

[0106] The unit supports common wireless communication protocols such as Bluetooth Low Energy (BLE) and Wi-Fi, enabling real-time data transmission and remote monitoring. Through the wireless communication interface, the battery management system can exchange data with the remote monitoring platform or cloud service, thereby achieving continuous monitoring and analysis of the battery status.

[0107] In order to optimize bandwidth usage and improve data transmission efficiency, the unit supports adjusting the data upload frequency according to actual needs. In addition, the communication module is designed to adapt to different working environments, ensuring stability and reliability under various operating conditions.

[0108] Of course, the pressure adjustment module can also use other types of methods to change the pressure, and can be reasonably set according to actual needs.

[0109] It should be noted that the above explanation of an embodiment of a force control method for delaying thermal runaway of a battery is also applicable to a force control device for delaying thermal runaway of a battery in this embodiment, which will not be repeated here.

[0110] Figure 7 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. The electronic device may include:

[0111] Memory 401 , processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0112] When the processor 402 executes the program, a force control method for delaying thermal runaway of a battery provided in the above embodiment is implemented.

[0113] Furthermore, the electronic device further comprises:

[0114] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0115] The memory 401 is used to store computer programs that can be executed on the processor 402 .

[0116] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0117] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0118] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0119] The processor 402 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention.

[0120] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0121] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "N" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0122] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0123] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0124] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0125] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0126] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0127] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A force control method for delaying battery thermal runaway, characterized in that: The steps include: Collect battery data in real time; Dynamically generate a comprehensive state matrix based on collected data; generating a force regulation strategy according to the comprehensive state matrix; The pressure distribution inside the battery is changed according to the force regulation strategy.

2. A force control method for delaying battery thermal runaway according to claim 1, characterized in that: The data includes temperature data, voltage data and current data.

3. A force control method for delaying battery thermal runaway according to claim 1, characterized in that: The comprehensive state matrix includes several dynamic intervals of operating parameters of the battery.

4. A force control method for delaying battery thermal runaway according to claim 1, characterized in that: The force regulation strategy is: F=K T f(T)+K V f(V)+K I f(I) Where F is the target force applied, K T is the temperature weight coefficient, K V is the voltage weight coefficient, K I is the current weight coefficient, f(T) is the temperature value, f(V) is the voltage value, and f(I) is the current value.

5. A force control method for delaying battery thermal runaway according to claim 4, characterized in that: The transition formula from current force to target force is: F(t)=F 当前 +α(t)*(F 目标 -F 当前 ),0<t<T Where α(t) is the transition function that changes with t, satisfying α(0)=0, α(T)=1, t is the current time, and T is the transition time interval.

6. A force control method for delaying battery thermal runaway according to claim 5, characterized in that: The transition function is: In the formula, k1, k2, k3 are weight coefficients, and β is the adjustment parameter to control the exponential growth rate.

7. A force control device for delaying thermal runaway of a battery, characterized in that: include: Acquisition module, used to collect battery data in real time; A comprehensive state matrix generation module is used to dynamically generate a comprehensive state matrix based on the collected data; A force control strategy generation module generates a force control strategy according to a comprehensive state matrix; The pressure adjustment module is used to change the internal pressure distribution of the battery according to the force regulation strategy.

8. The force control device for delaying thermal runaway of a battery according to claim 7, characterized in that: The acquisition module comprises: Temperature sensor, used to monitor battery temperature changes in real time; Voltage sensor, used to monitor battery voltage changes in real time; Current sensor, used to monitor the changes of battery load current in real time.

9. A force control device for delaying thermal runaway of a battery according to claim 7 or 8, characterized in that: The pressure adjustment module includes a pressure equalizing end covering the surface of the battery and a driving component for driving the pressure equalizing end to move.

10. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method according to claims 1-6.

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