Intelligent battery system, vehicle and battery safety management method

Abstract

The invention provides an intelligent battery system, a vehicle and a battery safety management method. The intelligent battery system comprises a battery sensing unit, a battery control unit and a safety protection unit, the battery sensing unit is used for collecting battery state data of a target battery; the battery control unit is used for determining a diagnosis result, a safety state parameter, control decision information and a thermal runaway occurrence probability of the target battery based on the received battery state data; and the safety protection unit is used for performing thermal runaway protection on the target battery based on the thermal runaway occurrence probability, performing collision protection on the target battery in response to the collision of the vehicle, and performing heat adjustment on the target battery in response to the charging and discharging state of the target battery. Through the system, the real-time performance and the accuracy of safety management of the vehicle battery are improved, and the safety of the vehicle battery is further improved.

Description

Technical Field

[0001] The present application relates to the field of smart battery technology, and in particular to a smart battery system, a vehicle, and a battery safety management method. Background Art

[0002] New energy vehicles mainly rely on batteries for energy. Under the service conditions of the batteries, there are many factors that affect battery failure and these factors will overlap with each other. Compared with fuel vehicles, the risk of accidents involving new energy vehicles is more uncertain and harmful, and it is more difficult to handle accidents. In addition, when the vehicle is in the states of charging, discharging, driving, parking and collision, the vehicle battery will have technical problems such as thermal inducement identification, thermal runaway prediction and thermal diffusion protection.

[0003] At present, when conducting safety management of vehicle batteries, the battery's external characteristic signals are generally collected, and the relevant operating parameters of the battery are diagnosed and regulated based on the battery's external characteristic signals, and corresponding control measures are implemented on the battery. This method has lags and delays in battery safety management, reducing the real-time and accuracy of vehicle battery safety management, and thus reducing the safety of vehicle batteries. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide an intelligent battery system, a vehicle and a battery safety management method, in which the battery status data of the vehicle battery is collected by a battery sensing unit, and the battery control unit determines the diagnostic results, safety status parameters, control decision information and thermal runaway probability of the vehicle battery based on the battery status data, and the safety protection unit protects the vehicle battery from thermal runaway based on the thermal runaway probability. When the vehicle is in the charging and discharging state and a collision occurs, the safety protection unit performs thermal regulation and collision protection on the vehicle battery, so as to improve the real-time and accuracy of vehicle battery safety management through failure suppression design, operation and maintenance process safety management and timely protection, thereby improving the safety of the vehicle battery.

[0005] The embodiment of the present application provides a smart battery system, which includes: a battery sensing unit, a battery control unit and a safety protection unit; The battery sensing unit is used to collect battery status data corresponding to a target battery in the vehicle and transmit the battery status data to the battery control unit; The battery control unit is configured to receive the battery status data sent by the battery sensing unit and determine, based on the battery status data, the diagnosis result, safety status parameters, control decision information, and thermal runaway occurrence probability corresponding to the target battery; The safety protection unit is configured to protect the target battery from thermal runaway based on the probability of thermal runaway determined by the battery control unit, protect the target battery from collision in response to a collision of the vehicle, and thermally regulate the target battery in response to the target battery being in a charge or discharge state.

[0006] Furthermore, the battery sensing unit includes: a sensing device; The sensing device is configured to collect battery status data corresponding to a target battery in the vehicle using a set acquisition probe, and transmit the battery status data to the battery control unit using a set transmission module; wherein the battery status data includes at least temperature data, gas data, pressure data, potential data, ultrasonic data, and strain data; Furthermore, the battery sensing unit further comprises: a bionic functional body; The bionic functional body is used to trigger the repair of the target battery based on the diagnosis result sent by the battery control unit.

[0007] Furthermore, the bionic functional body includes: a repair agent module and a flame retardant module; The repair agent module is configured to release a repair agent to the target battery to trigger repair of the target battery upon receiving a diagnosis result indicating repair from the battery control unit; The flame retardant module is configured to release flame retardant to the target battery upon receiving a diagnosis result indicating flame retardancy from the battery control unit, so as to trigger flame retardant repair of the target battery.

[0008] Furthermore, the repair agent module is further configured to release the repair agent to the target battery in response to detecting that a state parameter corresponding to the coating layer provided in the repair agent module is greater than a first preset threshold value, so as to trigger repair of the target battery; The flame retardant module is further configured to release the flame retardant to the target battery in response to detecting that a state parameter corresponding to the coating layer provided in the flame retardant module is greater than a second preset threshold value, so as to trigger flame retardant repair of the target battery.

[0009] Furthermore, the battery control unit includes: a sub-control module, a main control module and a cloud computing module; The sub-control module is configured to receive the battery status data sent by the battery sensing unit; The main control module is configured to call the cloud computing module to perform model processing based on the battery status data, so as to receive the diagnostic results, safety status parameters, control decision information, and thermal runaway probability corresponding to the target battery output by the cloud computing module; The cloud computing module is used to process the battery status data using a preset model to obtain the diagnostic results, safety status parameters, control decision information and thermal runaway probability corresponding to the target battery, and use the preset model to perform health management and life management on the target battery respectively.

[0010] Furthermore, the cloud computing module includes a cloud computing layer and a cloud information layer; The cloud computing layer is used to process the battery status data using a preset model to obtain the diagnostic results, safety status parameters, control decision information, and thermal runaway probability corresponding to the target battery, and perform health management and life management on the target battery using the preset model; The cloud information layer is used to store data corresponding to the smart battery system, the target battery and the vehicle respectively.

[0011] Furthermore, the battery control unit further includes: an edge control module; The edge control module is used to process and analyze the data corresponding to the smart battery system, the target battery and the vehicle, and to manage the network connection of the smart battery system.

[0012] Furthermore, the safety protection unit includes: a heat control unit; The heat control unit is configured to dissipate heat from the target battery in a charge / discharge state, and preheat the target battery in response to detecting that the temperature of the target battery in a charge / discharge state is lower than a preset temperature threshold.

[0013] Furthermore, the safety protection unit further includes: a thermal runaway protection unit; The thermal runaway protection unit is configured to determine a thermal runaway protection strategy based on the thermal runaway occurrence probability determined by the battery control unit, and perform thermal runaway protection on the target battery according to the thermal runaway protection strategy.

[0014] Furthermore, the safety protection unit further comprises: a collision protection unit; The collision protection unit is configured to, in response to a collision of the vehicle, decompose and absorb collision energy generated by the collision with the target battery, so as to provide collision protection for the target battery.

[0015] An embodiment of the present application also provides a vehicle, which is provided with the above-mentioned intelligent battery system.

[0016] The present application also provides a battery safety management method, which includes: The battery sensing unit collects battery status data corresponding to a target battery in the vehicle and transmits the battery status data to the battery control unit; The battery control unit determines, based on the received battery status data sent by the battery sensing unit, a diagnosis result, a safety status parameter, control decision information, and a probability of thermal runaway occurrence corresponding to the target battery; The safety protection unit performs thermal runaway protection on the target battery based on the thermal runaway occurrence probability determined by the battery control unit; The safety protection unit performs collision protection on the target battery in response to a collision of the vehicle, and performs thermal regulation on the target battery in response to the target battery being in a charge or discharge state.

[0017] An embodiment of the present application also provides an electronic device, comprising: a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps of the battery safety management method as described above are performed.

[0018] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the battery safety management method described above are executed.

[0019] The embodiments of the present application provide an intelligent battery system, a vehicle, and a battery safety management method, wherein the intelligent battery system includes: a battery sensing unit, a battery control unit, and a safety protection unit; the battery sensing unit is used to collect battery status data corresponding to a target battery in the vehicle and transmit the battery status data to the battery control unit; the battery control unit is used to receive the battery status data sent by the battery sensing unit, and based on the battery status data, determine the diagnostic results, safety status parameters, control decision information, and thermal runaway probability corresponding to the target battery; the safety protection unit is used to protect the target battery from thermal runaway based on the thermal runaway probability determined by the battery control unit, and in response to a collision of the vehicle, to protect the target battery from collision, and to perform thermal regulation on the target battery in response to the target battery being in a charge and discharge state.

[0020] Compared with the system in the prior art that collects battery external characteristic signals, diagnoses and regulates relevant operating parameters of the battery according to the battery external characteristic signals, and implements corresponding control measures on the battery, the battery status data of the vehicle battery is collected by the battery sensing unit, and the battery control unit determines the diagnostic results, safety status parameters, control decision information and thermal runaway probability of the vehicle battery based on the battery status data. The safety protection unit protects the vehicle battery from thermal runaway based on the thermal runaway probability, and performs thermal regulation and collision protection on the vehicle battery when the vehicle is in the charging and discharging state and when a collision occurs. Through failure suppression design, safety management and control of the operation and maintenance process and timely protection, the real-time and accuracy of vehicle battery safety management are improved, thereby improving the safety of the vehicle battery.

[0021] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 A schematic diagram of the structure of a smart battery system provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a battery sensing unit provided in an embodiment of the present application; Figure 3 This is one of the structural diagrams of a battery control unit provided in an embodiment of the present application; Figure 4 This is a second structural diagram of a battery control unit provided in an embodiment of the present application; Figure 5 A schematic structural diagram of a safety protection unit provided in an embodiment of the present application; Figure 6 A flowchart of a battery safety management method provided in an embodiment of the present application; Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for which protection is claimed, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, each other embodiment obtained by those skilled in the art without making creative work falls within the scope of protection of the present application.

[0025] Research has found that new energy vehicles mainly rely on batteries to provide energy. Under the service conditions of the battery, there are many factors that affect battery failure and these factors will overlap with each other. Compared with fuel vehicles, the risk of accidents involving new energy vehicles is more uncertain and harmful, and it is more difficult to handle accidents.

[0026] In addition, when the vehicle battery is in the states of charging, discharging, driving, parking and collision, the vehicle battery will have technical problems such as thermal inducement identification, thermal runaway prediction and thermal diffusion protection.

[0027] For example, when the vehicle battery is in the charging and discharging state, if lithium is deposited at the negative electrode and an internal short circuit occurs, the positive electrode will release oxygen and produce gas. This consistency difference will cause the vehicle battery's performance to degrade and the isolated cells to overcharge. When the vehicle is in driving, the vehicle battery's performance will degrade and the isolated cells will heat up abnormally, and there will be problems such as external short circuits such as wiring harness vibration and water flooding. When the vehicle is parked, heat accumulation, diaphragm damage, etc. will cause internal short circuits. When the vehicle collides, battery cells and high-voltage devices will be squeezed or punctured, causing battery short circuits and ruptures.

[0028] Here, the accumulation of faults such as decreased battery cell capacity, increased internal resistance and unstable voltage will lead to irreversible damage failure. These failures can easily induce thermal runaway due to overload shock during vehicle operation; the cumulative evolution of failures has the potential risk of progressive thermal runaway, and overloads such as overcharging, over-discharging and overheating can easily cause the failure site to quickly turn into runaway, resulting in sudden thermal runaway without warning such as spontaneous combustion; and charging too fast and all-weather indifferent power output have become the main scenarios for the use of new energy vehicles. The battery is subjected to high-rate load shock and generates heat rapidly. If it cannot dissipate quickly, it will cause battery attenuation and failure, inducing thermal runaway, which will quickly expand and cause spontaneous combustion.

[0029] At present, when conducting safety management of vehicle batteries, the battery's external characteristic signals are generally collected, and the relevant operating parameters of the battery are diagnosed and regulated based on the battery's external characteristic signals, and corresponding control measures are implemented on the battery. This method has lags and delays in battery safety management, reducing the real-time and accuracy of vehicle battery safety management, and thus reducing the safety of vehicle batteries.

[0030] Based on this, an embodiment of the present application provides an intelligent battery system, which collects battery status data of a vehicle battery through a battery sensing unit, and the battery control unit determines the diagnostic results, safety status parameters, control decision information and thermal runaway probability of the vehicle battery based on the battery status data. The safety protection unit protects the vehicle battery from thermal runaway based on the thermal runaway probability, and performs thermal regulation and collision protection on the vehicle battery when the vehicle is in a charging and discharging state and a collision occurs. Through failure suppression design, safety management and control of the operation and maintenance process and timely protection, the real-time and accuracy of vehicle battery safety management are improved, thereby improving the safety of the vehicle battery.

[0031] See also Figure 1 , Figure 1 This is a schematic diagram of the structure of a smart battery system provided in an embodiment of the present application. Figure 1 As shown in , the smart battery system 10 provided in the embodiment of the present application includes: a battery sensing unit 110 , a battery control unit 120 and a safety protection unit 130 .

[0032] The battery sensing unit 110 is used to collect battery status data corresponding to the target battery 20 in the vehicle and transmit the battery status data to the battery control unit 120 .

[0033] For further information, see Figure 2 , Figure 2 This is a schematic diagram of the structure of a battery sensing unit provided in an embodiment of the present application. Figure 2 As shown in , the battery sensing unit 110 includes: a sensing device 111.

[0034] The sensing device 111 is configured to collect battery status data corresponding to a target battery 20 in the vehicle using a set collection probe, and transmit the battery status data to the battery control unit 120 using a set transmission module.

[0035] In an embodiment of the present application, the battery status data includes at least temperature data, gas data, pressure data, potential data, ultrasonic data and strain data.

[0036] Here, the sensing device 111 may include a collection probe, a transmission module and a power supply line; wherein the power supply line is electrically connected to the collection probe and the transmission module respectively, the collection probe and the transmission module are communicatively connected, and the transmission module is placed inside or outside the target battery 20.

[0037] Among them, the acquisition probes for sensing temperature data and strain data are placed in the middle position of the core of the target battery 20, the outermost position of the shell and core of the target battery 20, and the position of the electrode with the highest temperature of the battery core determined by the thermoelectric coupling simulation mapping the actual working conditions; the acquisition probes for sensing pressure data and gas data are placed in the middle position of the core of the target battery 20, the outermost position of the shell and core of the target battery 20, and the top cover position inside the shell of the target battery 20.

[0038] In addition, the transmission module is placed at an inner top cover or an outer top cover position of the housing of the target battery 20 .

[0039] Further, such as Figure 2 As shown in , the battery sensing unit 110 further includes: a bionic functional body 112; The bionic functional body 112 is used to trigger the repair of the target battery 20 based on the diagnosis result sent by the battery control unit 120.

[0040] In one embodiment of the present application, in a specific implementation, the bionic functional body 112 includes: a repair agent module 1121 and a flame retardant module 1122 .

[0041] Wherein, both the repair agent module 1121 and the flame retardant module 1122 are provided with a coating layer.

[0042] The repair agent module 1121 is configured to release a repair agent to the target battery 20 to trigger repair of the target battery 20 upon receiving a diagnosis result indicating repair from the battery control unit 120 .

[0043] Furthermore, the repair agent module 1121 is also used to release the repair agent to the target battery 20 in response to detecting that the state parameter corresponding to the coating layer set in the repair agent module 1121 is greater than a first preset threshold, so as to trigger the repair of the target battery 20.

[0044] Here, the state parameters corresponding to the coating layer in the repair agent module 1121 may include but are not limited to voltage values and temperature values, and the first preset threshold value may be determined based on the structural parameters and composition parameters corresponding to the coating layer in the repair agent module 1121.

[0045] In the embodiments of the present application, the repair includes but is not limited to the positive and negative electrode interface films, cracking and breakage of the positive and negative electrode particles, electrolyte consumption, gas production and lithium dendrites, etc.

[0046] The flame retardant module 1122 is configured to release flame retardant to the target battery 20 to trigger flame retardant repair of the target battery 20 when receiving a diagnosis result indicating flame retardancy from the battery control unit 120 .

[0047] Furthermore, the flame retardant module 1122 is also used to release the flame retardant to the target battery 20 in response to detecting that the state parameter corresponding to the coating layer set in the flame retardant module 1122 is greater than a second preset threshold, so as to trigger flame retardant repair of the target battery 20.

[0048] Here, the state parameters corresponding to the coating layer in the flame retardant module 1122 may include but are not limited to voltage values and temperature values, and the second preset threshold value may be determined according to the structural parameters and composition parameters corresponding to the coating layer in the flame retardant module 1122.

[0049] For further information, see Figure 3 , Figure 3 This is one of the structural diagrams of a battery control unit provided in the embodiment of the present application. Figure 3 As shown in , the battery control unit 120 includes: a sub-control module 121, a main control module 122 and a cloud computing module 123.

[0050] The sub-control module 121 is configured to receive the battery status data sent by the battery sensing unit 110 .

[0051] The main control module 122 is used to call the cloud computing module 123 to perform model processing based on the battery status data, so as to receive the diagnostic results, safety status parameters, control decision information and thermal runaway probability corresponding to the target battery 20 output by the cloud computing module 123.

[0052] In the application embodiment, the control decision information includes but is not limited to charging control, discharging control, balancing management and safety monitoring, etc.; the safety status parameters include at least state estimation value, remaining service life and carbon emissions, etc.

[0053] The cloud computing module 123 is used to process the battery status data using a preset model to obtain the diagnostic results, safety status parameters, control decision information and thermal runaway probability corresponding to the target battery 20, and use the preset model to perform health management and life management on the target battery 20 respectively.

[0054] In one embodiment of the present application, Figure 3 As shown in , the cloud computing module 123 includes a cloud computing layer 1231 and a cloud information layer 1232 .

[0055] The cloud computing layer 1231 is used to process the battery status data using a preset model to obtain the diagnostic results, safety status parameters, control decision information and thermal runaway probability corresponding to the target battery 20, and use the preset model to perform health management and life management on the target battery 20 respectively.

[0056] In an embodiment of the present application, the preset models include but are not limited to twin models, ion transfer models, remaining useful life models, cross-scale failure models, thermal runaway models, carbon emission models, fault prediction models, multi-objective optimal value models, health management models and safety warning models, etc.

[0057] Among them, the health management model can realize functions such as long-term monitoring in the cloud, real-time detection on the vehicle side, and regular maintenance of the terminal.

[0058] For example, the health management model can analyze the correspondence between internal resistance, capacity, aging inconsistency, battery self-discharge rate, etc. and health status based on aging experiments and electrochemical impedance spectroscopy (EIS), and smooth the differential capacity and differential thermovoltammogram curves of the target battery 20 to extract the capacity attenuation degradation characteristics of the target battery 20.

[0059] Furthermore, the health management model is also equipped with a vehicle-cloud collaborative health status estimation (SOH) model, which uses a simulated annealing genetic algorithm to optimize the hyperparameters of the cloud-based SOH self-organizing neural network, achieving a balance between global and local searches to avoid falling into local optimal solutions. The vehicle can dynamically adjust the boundaries of the service performance parameters based on the state estimation value, so that the target battery operates within a safe range; in addition, through adaptive power balancing, the transfer and consumption of deviation power is achieved, avoiding the evolution of faults caused by performance degradation and outlier single-unit service overload into failure.

[0060] Among them, the multi-objective optimal value model is used to perform multi-objective weighted optimization on the performance boundaries, safety boundaries and cost boundaries of the battery sensing unit 110, the battery control unit 120 and the safety protection unit 130 respectively to determine the optimization parameters of the target battery 20.

[0061] In an embodiment of the present application, the weight parameters may include performance weight, safety weight and cost weight, the safety weight is not less than 60%, the sum of the weight parameters is 100%, and the expression of the multi-objective optimal value model is as follows.

[0062] R=M t ×W p ×W s ×W c +M i ×W p ×W s +M l ×W p ×Ws ×W c +M f ×W p ×W s ×W c +M r ×W p ×W s +M e ×W c .

[0063] Among them, R is the optimal index; M t For the twin model, M i For the ion transport model, M l is the remaining useful life model, M f is the cross-scale failure model, M r is the thermal runaway model, M e is the carbon emission model; W p is the performance weight, W s is the security weight, W c is the cost weight.

[0064] The twin model includes a battery state SOX twin model that maps the physical entity, a sensor device twin model, a bionic functional body twin model, and a battery cell twin model; Here, the mapped physical entity can be determined through actual test data, virtual simulation and / or machine learning, and the battery state SOX twin model can be determined by training and optimizing the machine learning model and neural network hyperparameters using data collected and simulated by the sensing device.

[0065] Among them, the ion transport model is used to simulate the changes in the internal microscopic thermodynamic and kinetic properties of the target battery 20 in an abnormal state. When simulating a failure of the target battery 20, the inhibition strategies such as lithium supplementation additives, lithium deposition interface regulation, and adaptive balance are determined by simulating the local overpotential and ion concentration polarization that cause internal short circuits, the slow ion transport migration rate that causes surface lithium deposition, and the uneven ion concentration distribution that causes accelerated battery aging.

[0066] The remaining useful life model is used to analyze the service life evolution of the target battery 20, including the capacity attenuation factor, and to identify linear chemical aging attenuation and nonlinear physical stress damage.

[0067] Among them, the cross-scale failure model is used to simulate the functional damage related to the dissolution of the positive and negative electrode interface films (CEI / SEI), material expansion, cracking, electrode powder loss, internal short circuit, impact damage and external short circuit when the target battery 20 is in thermal runaway.

[0068] Among them, the thermal runaway model is used to analyze the step mutation characteristic stages of pressure, temperature and voltage corresponding to the thermal runaway evolution of the target battery 20. By predicting the thermal runaway risk index of the target battery 20, it transforms from passive protection against hazards to active risk prediction, and then determines the probability of thermal runaway occurrence by weighting.

[0069] Among them, the carbon emission model is used to analyze the carbon emissions and carbon emission factors of the entire battery industry chain of the target battery 20 from mining, material production, monomer production, system production, vehicle assembly, transportation, recycling, cascade utilization, resource extraction and recycling.

[0070] The cloud information layer 1232 is used to store data corresponding to the smart battery system 10 , the target battery 20 , and the vehicle.

[0071] Among them, the cloud information layer includes a data layer and an information layer; the data layer stores multi-state big data, real-time monitoring data and relational data, etc., and the information layer stores failure library, mechanism model library, algorithm library, operation scenario library, knowledge base, data warehouse, model calculator, data flow calculation, knowledge graph and battery life cycle traceability information, etc.

[0072] For further information, see Figure 4 , Figure 4 This is a second structural diagram of a battery control unit provided in an embodiment of the present application. Figure 4 As shown in , the battery control unit 120 further includes: an edge control module 124.

[0073] The edge control module 124 is used to process and analyze the data corresponding to the smart battery system 10 , the target battery 20 , and the vehicle, and to manage the network connection of the smart battery system 10 .

[0074] Among them, the edge control module 124 includes: application domain, data domain, network domain and device domain; in addition, corresponding edge control modules are set at the vehicle end, maintenance station and communication base station.

[0075] In an embodiment of the present application, the sub-control module 121, the main control module 122, the edge control module 124 and the cloud computing module 123 in the battery control unit 120 can be constructed as a multi-level, highly cohesive and low-coupling information-physical cloud fusion system architecture; wherein, the information-physical cloud fusion system architecture may include a vehicle-side physical layer, an edge layer, a cloud information layer and a cloud computing layer, and adopt wired and / or wireless communication connections.

[0076] Among them, the sub-control module 121 and the main control module 122 can be constructed as the vehicle-side physical layer.

[0077] For further information, see Figure 5 , Figure 5 This is a schematic diagram of the structure of a safety protection unit provided in an embodiment of the present application. Figure 5 As shown in , the safety protection unit 130 includes: a heat control unit 131.

[0078] The heat control unit 131 is configured to dissipate heat from the target battery 20 in a charge / discharge state, and preheat the target battery 20 in response to detecting that the temperature of the target battery 20 in a charge / discharge state is lower than a preset temperature threshold.

[0079] In the embodiment of the present application, the preset temperature threshold may be specifically calibrated according to the performance parameters of the target battery.

[0080] The heat control unit 131 includes a water-cooling plate and a heating plate connected to the target battery 20 , as well as a charging pile and a motor pulse heating module electrically connected to the target battery 20 .

[0081] Further, such as Figure 5 As shown in , the safety protection unit 130 further includes: a thermal runaway protection unit 132.

[0082] The thermal runaway protection unit 132 is configured to determine a thermal runaway protection strategy based on the thermal runaway occurrence probability determined by the battery control unit 120 , and perform thermal runaway protection on the target battery 20 according to the thermal runaway protection strategy.

[0083] In an embodiment of the present application, thermal runaway protection strategies may include the type of ejected gas, particle size distribution, and unsteady jet flow behavior; thermal runaway protection may include blocking heat conduction, heat convection, and heat radiation.

[0084] The thermal runaway protection unit 132 includes a thermal barrier layer placed between adjacent batteries and a thermal barrier layer on top of the battery cell.

[0085] Further, such as Figure 5 As shown in , the safety protection unit 130 further includes: a collision protection unit 133.

[0086] The collision protection unit 133 is configured to decompose and absorb collision energy generated by the target battery 20 in response to a collision of the vehicle, so as to protect the target battery 20 from collision.

[0087] The collision protection unit 133 includes a box body, longitudinal and transverse beams, an energy absorption box, and a low-voltage power supply network for the door unlocking module and the distress signal module.

[0088] Here, the energy storage device of the low-voltage power supply network is recharged by the intelligent battery system 10 described in the embodiment of the present application; wherein, the energy storage device includes a first energy storage device and a second energy storage device, the first energy storage device provides energy for the low-voltage power supply network of the entire vehicle, and the second energy storage device only provides energy for the low-voltage power supply network of the collision protection unit.

[0089] Furthermore, the collision protection unit 133 is also provided with a collision control unit, which is used to monitor the collision safety status of the target battery 20 in real time, and diagnose and respond to power reduction control instructions to prevent cumulative failures from evolving into thermal runaway; in addition, the collision control unit is also used to analyze the relationship between the number of load power-offs, power-off temperature and power-off current of the battery high-voltage circuit relay and the damage degree of the relay, and use the damage degree model of the relay life threshold graded warning to disconnect the vehicle's high-voltage circuit when relay failure and thermal runaway or collision is diagnosed.

[0090] Furthermore, the intelligent battery system 10 is also provided with a plurality of independent energy modules, which are electrically and / or mechanically and / or communicatively connected to each other; each energy module supplies power to the battery sensing unit 110, the battery control unit 120 and the safety protection unit 130 respectively, and each energy module can be disassembled and replaced separately.

[0091] Among them, the energy module also independently supplies power to the vehicle for the energy required so that the vehicle can enter a safe state when a safety fault occurs; the energy module also independently supplies power to the low-voltage power supply network of the collision protection unit 133 for the energy required.

[0092] The intelligent battery system provided in the embodiment of the present application collects battery status data of the vehicle battery through a battery sensing unit. The battery control unit determines the diagnostic results, safety status parameters, control decision information and thermal runaway probability of the vehicle battery based on the battery status data. The safety protection unit protects the vehicle battery from thermal runaway based on the thermal runaway probability. When the vehicle is in the charging and discharging state and a collision occurs, the safety protection unit performs thermal regulation and collision protection on the vehicle battery. Through failure suppression design, safety management and control of the operation and maintenance process and timely protection, the real-time and accuracy of vehicle battery safety management are improved, thereby improving the safety of the vehicle battery.

[0093] An embodiment of the present application also provides a vehicle, which is provided with the above-mentioned intelligent battery system.

[0094] In the embodiment of the present application, the operating scenarios of the vehicle include land, air and water. The operating scenarios of the vehicle are not a restriction on the vehicle type, but indicate that there is at least one mentioned vehicle type that can realize the vehicle operating scenario of the present invention.

[0095] For example, land operation scenarios may include but are not limited to land starting, acceleration, deceleration and parking; air operation scenarios may include but are not limited to flying, hovering and gliding; water operation scenarios may include but are not limited to launching, water navigation and parking.

[0096] Furthermore, the vehicle includes a power system, which includes: an intelligent battery system, a drive system and a power control system.

[0097] The intelligent battery system is integrated with the vehicle body and chassis; the drive system is powered by the intelligent battery system; the drive system is powered by a generator; and the intelligent battery system is powered by a generator.

[0098] See also Figure 6 , Figure 6 This is a flow chart of a battery safety management method provided in an embodiment of the present application. Figure 6 As shown in , the battery safety management method provided by the embodiment of the present application includes: S601: A battery sensing unit collects battery status data corresponding to a target battery in a vehicle, and transmits the battery status data to a battery control unit.

[0099] S602. The battery control unit determines the diagnosis result, safety status parameter, control decision information and thermal runaway occurrence probability corresponding to the target battery based on the battery status data received from the battery sensing unit.

[0100] S603: The safety protection unit performs thermal runaway protection on the target battery based on the thermal runaway occurrence probability determined by the battery control unit.

[0101] S604: In response to a collision of the vehicle, the safety protection unit performs collision protection on the target battery, and in response to the target battery being in a charge or discharge state, performs thermal regulation on the target battery.

[0102] The vehicle battery safety management method provided in the embodiment of the present application collects battery status data of the vehicle battery through a battery sensing unit, and the battery control unit determines the diagnostic results, safety status parameters, control decision information and thermal runaway probability of the vehicle battery based on the battery status data. The safety protection unit protects the vehicle battery from thermal runaway based on the thermal runaway probability, and performs thermal regulation and collision protection on the vehicle battery when the vehicle is in the charging and discharging state and when a collision occurs. Through failure suppression design, safety management and control of the operation and maintenance process and timely protection, the real-time and accuracy of the safety management of the vehicle battery are improved, thereby improving the safety of the vehicle battery.

[0103] Furthermore, the smart battery system described in the embodiment of the present application may have the problem of battery health degradation during the process of safety management of the target battery and use of the target battery. By evaluating the residual value of the target battery and recycling the target battery determined to be a retired battery, battery resources can be saved and the environmental friendliness of the battery can be ensured.

[0104] Based on this, an embodiment of the present application also includes a method for recycling retired vehicle batteries, the recycling method comprising: S701. Perform a health assessment on a target battery based on the battery life cycle traceability information determined by the battery control unit to determine the residual value of the target battery.

[0105] S702. Determine the recycling type of the target battery based on the residual value; wherein the recycling type includes direct cascade utilization, indirect cascade utilization, and recycled utilization.

[0106] S703: When the recycling type of the target battery is direct cascade utilization, the target batteries are electrically connected into a cluster to establish an energy storage station for the target batteries, and the target batteries are monitored for reuse.

[0107] S704: When the recycling type of the target battery is not directly recyclable, the target batteries are disassembled and electrically connected into groups to establish an energy storage station for the target batteries, and the target batteries are monitored for reuse.

[0108] S705. When the recycling type of the target battery is regeneration, the target battery is subjected to discharging, disassembly and crushing, physical separation, chemical extraction and material regeneration to obtain battery manufacturing raw materials for the target battery, and the battery manufacturing raw materials are used for remanufacturing to obtain a reused battery.

[0109] See also Figure 7 , Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 7 As shown in FIG, the electronic device 700 includes a processor 710 , a memory 720 and a bus 730 .

[0110] The memory 720 stores machine-readable instructions executable by the processor 710. When the electronic device 700 is running, the processor 710 communicates with the memory 720 via the bus 730. When the machine-readable instructions are executed by the processor 710, the above-mentioned Figure 6 The specific implementation of the steps of the battery safety management method in the method embodiment shown can be found in the method embodiment, and will not be repeated here.

[0111] The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the computer program can execute the above-mentioned Figure 6 The specific implementation of the steps of the battery safety management method in the method embodiment shown can be found in the method embodiment, and will not be repeated here.

[0112] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0113] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.

[0114] The units described as separate components may or may not be physically separate, and 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 these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0115] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0116] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0117] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The scope of protection of the present application is not limited thereto. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-mentioned embodiments within the technical scope disclosed in the present application, or perform equivalent replacements for some of the technical features thereof. These modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. An intelligent battery system, characterized in that: The intelligent battery system includes: a battery sensing unit, a battery control unit and a safety protection unit; The battery sensing unit is used to collect battery status data corresponding to a target battery in the vehicle and transmit the battery status data to the battery control unit; The battery control unit is configured to receive the battery status data sent by the battery sensing unit and determine, based on the battery status data, the diagnosis result, safety status parameters, control decision information, and thermal runaway occurrence probability corresponding to the target battery; The safety protection unit is configured to protect the target battery from thermal runaway based on the probability of thermal runaway determined by the battery control unit, protect the target battery from collision in response to a collision of the vehicle, and thermally regulate the target battery in response to the target battery being in a charge or discharge state.

2. The system according to claim 1, wherein: The battery sensing unit includes: a sensing device; The sensing device is used to collect battery status data corresponding to a target battery in the vehicle using a set collection probe, and transmit the battery status data to the battery control unit using a set transmission module; wherein the battery status data includes at least temperature data, gas data, pressure data, potential data, ultrasonic data and strain data.

3. The system according to claim 2, characterized in that The battery sensing unit further includes: a bionic functional body; The bionic functional body is used to trigger the repair of the target battery based on the diagnosis result sent by the battery control unit.

4. The system according to claim 3, characterized in that The bionic functional body includes: a repair agent module and a flame retardant module; The repair agent module is configured to release a repair agent to the target battery to trigger repair of the target battery upon receiving a diagnosis result indicating repair from the battery control unit; The flame retardant module is configured to release flame retardant to the target battery upon receiving a diagnosis result indicating flame retardancy from the battery control unit, so as to trigger flame retardant repair of the target battery.

5. The system according to claim 4, characterized in that The repair agent module is further configured to release the repair agent to the target battery in response to detecting that a state parameter corresponding to the coating layer provided in the repair agent module is greater than a first preset threshold value, so as to trigger repair of the target battery; The flame retardant module is further configured to release the flame retardant to the target battery in response to detecting that a state parameter corresponding to the coating layer provided in the flame retardant module is greater than a second preset threshold value, so as to trigger flame retardant repair of the target battery.

6. The system according to claim 1, wherein: The battery control unit includes: a sub-control module, a main control module and a cloud computing module; The sub-control module is configured to receive the battery status data sent by the battery sensing unit; The main control module is configured to call the cloud computing module to perform model processing based on the battery status data, so as to receive the diagnostic results, safety status parameters, control decision information, and thermal runaway probability corresponding to the target battery output by the cloud computing module; The cloud computing module is used to process the battery status data using a preset model to obtain the diagnostic results, safety status parameters, control decision information and thermal runaway probability corresponding to the target battery, and use the preset model to perform health management and life management on the target battery respectively.

7. The system according to claim 6, characterized in that The cloud computing module includes a cloud computing layer and a cloud information layer; The cloud computing layer is used to process the battery status data using a preset model to obtain the diagnostic results, safety status parameters, control decision information, and thermal runaway probability corresponding to the target battery, and perform health management and life management on the target battery using the preset model; The cloud information layer is used to store data corresponding to the smart battery system, the target battery and the vehicle respectively.

8. The system according to claim 6, wherein: The battery control unit further includes: an edge control module; The edge control module is used to process and analyze the data corresponding to the smart battery system, the target battery and the vehicle, and to manage the network connection of the smart battery system.

9. The system according to claim 1, wherein: The safety protection unit includes: a heat control unit; The heat control unit is configured to dissipate heat from the target battery in a charge / discharge state, and preheat the target battery in response to detecting that the temperature of the target battery in a charge / discharge state is lower than a preset temperature threshold.

10. The system according to claim 1, wherein: The safety protection unit further includes: a thermal runaway protection unit; The thermal runaway protection unit is configured to determine a thermal runaway protection strategy based on the thermal runaway occurrence probability determined by the battery control unit, and perform thermal runaway protection on the target battery according to the thermal runaway protection strategy.

11. The system according to claim 1, wherein: The safety protection unit further comprises: a collision protection unit; The collision protection unit is configured to, in response to a collision of the vehicle, decompose and absorb collision energy generated by the collision with the target battery, so as to provide collision protection for the target battery.

12. A vehicle, characterized in that: The vehicle is provided with the intelligent battery system according to any one of claims 1 to 11.

13. A battery safety management method, characterized in that: The method comprises: The battery sensing unit collects battery status data corresponding to a target battery in the vehicle and transmits the battery status data to the battery control unit; The battery control unit determines, based on the received battery status data sent by the battery sensing unit, a diagnosis result, a safety status parameter, control decision information, and a probability of thermal runaway occurrence corresponding to the target battery; The safety protection unit performs thermal runaway protection on the target battery based on the thermal runaway occurrence probability determined by the battery control unit; The safety protection unit performs collision protection on the target battery in response to a collision of the vehicle, and performs thermal regulation on the target battery in response to the target battery being in a charge or discharge state.

14. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate through the bus, and the machine-readable instructions are executed by the processor to execute the steps of the battery safety management method as described in claim 13.

15. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, executes the steps of the vehicle battery safety management method according to claim 13 .

Images