Automobile emergency starting power supply

Abstract

The invention relates to an automobile emergency starting power supply, which relates to the technical field of automobile power supplies, and comprises a power supply assembly, a state monitoring assembly, an environment monitoring assembly and a charging controller, the power supply assembly comprises an energy storage battery, a charging output interface, a charging input interface and an automobile emergency output interface; the state monitoring assembly is used for obtaining state information of an automobile storage battery. The environment monitoring assembly is used for acquiring operation environment information; the charging controller is used for uploading the state information and the operation environment information to the cloud platform, and the cloud platform is used for obtaining initial charging parameters and judging whether the initial charging parameters are adjusted or not according to the state information and the operation environment information of the automobile storage battery, if not, the initial charging parameters are issued to the charging controller, and if yes, optimal charging parameters are generated; and issuing; the charging controller is further used for controlling the energy storage battery to charge the automobile storage battery based on the initial charging parameter or the optimal charging parameter, and the reliability of the automobile emergency starting power supply is improved.

Description

Technical Field

[0001] The invention relates to the technical field of automobile power supplies, and in particular to an automobile emergency starting power supply. Background Art

[0002] The car emergency starting power supply is a multifunctional portable mobile power supply. Its special function is to start the car when the car is out of power or cannot be started for other reasons.

[0003] The working principle of the car emergency starting power supply is mainly based on battery energy storage and inverter technology. It contains a high-capacity lithium-ion battery or lithium polymer battery as an energy storage unit, which has high energy density, long life and good high and low temperature performance. Through the inverter technology, direct current is converted into alternating current and supplied to the car battery, so that it can obtain enough power to start the car engine in a short time. The control circuit is the core part of the car emergency starting power supply, including the battery management system, protection circuit and boost converter, etc., which is responsible for managing the charging and discharging process of the car emergency starting power supply, ensuring that the car emergency starting power supply works under safe conditions, and can monitor the voltage, current and temperature of the battery to prevent overcharging, over-discharging, overcurrent and short circuit.

[0004] In the prior art, the output current and discharge time of the automobile emergency starting power supply are generally fixed (such as 200-400A, lasting 3 seconds). However, in fact, there are differences in the various performance parameters of automobile batteries manufactured by different car manufacturers. This dual fixed power supply mode of the emergency starting power supply is difficult to meet the power supply needs of automobiles with different performances. For automobiles with good performance and easy to start, the current and time may exceed the demand and be wasted. For automobiles with poor performance and difficult to start, the voltage and current may not meet the requirements and cannot be started successfully.

[0005] Therefore, it is necessary to provide an automobile emergency starting power supply to improve the reliability of the automobile emergency starting power supply. Summary of the invention

[0006] The present invention provides an automobile emergency starting power supply, comprising a shell, a power supply component, a state monitoring component, an environment monitoring component and a charging controller, wherein the power supply component, the state monitoring component and the environment monitoring component are all electrically connected to the charging controller; the power supply component comprises an energy storage battery, a charging output interface, a charging input interface and an automobile emergency output interface connected to a wire clamp, the charging output interface, the charging input interface and the automobile emergency output interface are all electrically connected to the energy storage battery, the energy storage battery is arranged in the shell, the charging output interface, the charging input interface and the automobile emergency output interface are all arranged on the shell; the state monitoring component is used to obtain the state information of the automobile battery; the environment monitoring component is used to obtain the operating environment information; The charging controller is used to upload the status information and operating environment information of the automobile battery to the cloud platform, and the cloud platform is used to obtain the initial charging parameters of the automobile battery. The cloud platform is also used to determine whether to adjust the initial charging parameters of the automobile battery based on the status information and operating environment information of the automobile battery. If not, the initial charging parameters are sent to the charging controller. If so, the initial charging parameters of the automobile battery are adjusted according to the status information and operating environment information of the automobile battery to generate optimal charging parameters, and the optimal charging parameters are sent to the charging controller. The charging controller is also used to control the energy storage battery to charge the automobile battery based on the initial charging parameters or optimal charging parameters sent by the cloud platform.

[0007] Furthermore, the cloud platform obtains the initial charging parameters of the car battery, including: obtaining a test data set of multiple test car batteries, wherein the test data set of the test car batteries includes the optimal charging parameters of the test car batteries under multiple test environments and multiple test conditions; dividing the multiple test car batteries into multiple test car battery clusters according to the test data sets of the multiple test car batteries; for each of the test car battery clusters, determining the initial charging parameters corresponding to the test car battery cluster according to the test data sets of the multiple test car batteries included in the test car battery cluster; determining the initial charging parameters of the car battery according to the initial charging parameters corresponding to each of the test car battery clusters.

[0008] Furthermore, the cloud platform divides the multiple test car batteries into multiple test car battery clusters according to the test data sets of the multiple test car batteries, including: for each of the test car batteries, determining the parameter fluctuation coefficient of the test car battery according to the test optimal charging parameters of the test car battery under multiple test environments and multiple test states; for each of the test car batteries, determining the correlation coefficient between the parameters corresponding to the test car battery and each test environment factor according to the test optimal charging parameters of the test car battery under multiple test environments and multiple test states; for any two of the test car batteries, determining the parameter similarity of the two test car batteries according to the test optimal charging parameters of each of the test car batteries under multiple test environments and multiple test states; and dividing the multiple test car batteries into multiple test car battery clusters according to the parameter fluctuation coefficient of each of the test car batteries, the correlation coefficient between the parameters corresponding to the test car battery and each test environment factor, and the parameter similarity of any two of the test car batteries by a clustering algorithm.

[0009] Furthermore, the cloud platform determines the initial charging parameters corresponding to the test car battery cluster based on the test data sets of the multiple test car batteries included in the test car battery cluster, including: obtaining the operating environment information and status information of multiple sample car batteries; determining the key test environment from the multiple test environments based on the operating environment information of the multiple sample car batteries; determining the key test state from the multiple test states based on the status information of the multiple sample car batteries; determining the initial charging parameters corresponding to the test car battery cluster based on the test data sets of the multiple test car batteries included in the test car battery cluster, the key test environment and the key test state.

[0010] Furthermore, the cloud platform determines the initial charging parameters of the car battery according to the initial charging parameters corresponding to each of the test car battery clusters, including: for each of the test car battery clusters, determining the consistency coefficient between the test car battery cluster and each structural factor according to the structural characteristics of the test car batteries included in the test car battery cluster, and determining the key structural factors corresponding to the test car battery cluster according to the consistency coefficient between the test car battery cluster and each structural factor; determining a matching test car battery cluster for the car battery according to the structural characteristics of the car battery and the key structural factors corresponding to each of the test car battery clusters; and determining the initial charging parameters corresponding to the matching test car battery cluster of the car battery.

[0011] Furthermore, the cloud platform determines the matching test vehicle battery cluster for the vehicle battery according to the structural features of the vehicle battery and the key structural factors corresponding to each of the test vehicle battery clusters, including: for each of the test vehicle battery clusters, based on the key structural factors corresponding to the test vehicle battery cluster, extracting the structural features of each test vehicle battery included in the test vehicle battery cluster corresponding to the test vehicle battery cluster; determining the matching test vehicle battery cluster according to the structural features of each test vehicle battery included in the test vehicle battery cluster corresponding to the test vehicle battery cluster; The cluster structural characteristics of the test car battery cluster; for each of the test car battery clusters, based on the key structural factors corresponding to the test car battery cluster, extract the structural characteristics of the car battery corresponding to the test car battery cluster, and determine the matching degree of the car battery with the test car battery cluster according to the structural characteristics of the car battery corresponding to the test car battery cluster and the cluster structural characteristics of the test car battery cluster; determine the matching degree of the car battery with each of the test car battery clusters, and determine the matching test car battery cluster of the car battery.

[0012] Furthermore, the cloud platform is also used to determine whether to adjust the initial charging parameters of the car battery based on the status information and operating environment information of the car battery, including: calculating the environmental difference based on the status information of the car battery and the key test environment; calculating the state difference based on the status information of the car battery and the key test state; and determining whether to adjust the initial charging parameters of the car battery based on the environmental difference and the state difference.

[0013] Furthermore, a car emergency starting power supply also includes a temperature control component, wherein the temperature control component includes a refrigeration device and a heating device, the refrigeration device includes a plurality of refrigerators arranged at different positions in the shell, and the heating device includes a plurality of heaters arranged at different positions in the shell; the cloud platform is also used to generate a temperature control plan based on the operating environment information; the charging controller is also used to control the refrigeration device or the heating device to perform temperature control according to the temperature control plan.

[0014] Furthermore, the cloud platform adjusts the initial charging parameters of the car battery according to the status information and operating environment information of the car battery to generate optimal charging parameters, including: for each of the test car battery clusters, establishing a parameter determination model corresponding to the test car battery cluster; adjusting the initial charging parameters of the car battery according to the status information and operating environment information of the car battery by matching the parameter determination model corresponding to the test car battery cluster to generate the optimal charging parameters.

[0015] Furthermore, the shell comprises an upper cover, a lower cover and two sets of ring bodies, the upper cover and the lower cover are assembled up and down to form a containing cavity, one set of the ring bodies is sleeved between one end of the upper cover and one end of the lower cover and is fixed by snapping with the upper cover and the lower cover, the other set of the ring bodies is sleeved between the other end of the upper cover and the other end of the lower cover and is fixed by snapping with the upper cover and the lower cover, both end surfaces of the upper cover and the lower cover are concavely provided with buckle grooves, and both upper and lower inner wall surfaces of the two sets of ring bodies are integrally formed with hooks, and the hooks are fixed by snapping with the corresponding buckle grooves; the shell is also provided with There are a main switch, an indicator light, and an emergency light, and the main switch, indicator light, and emergency light are all electrically connected to the energy storage battery; the upper and lower surfaces of the two sets of ring bodies are recessed with card slots, and each card slot is clamped with a foot block; the emergency light, charging output interface and charging input interface are exposed side by side on the front end surface of the shell, and the front end surface of the shell is provided with a first dust cover for covering the charging output interface and the charging input interface; the car emergency output interface is exposed on the side of the shell, and the side of the shell is provided with a second dust cover for covering the car emergency output interface.

[0016] Compared with the prior art, the automobile emergency starting power supply provided in this specification has at least the following beneficial effects:

[0017] 1. In the prior art, the output current and discharge time of the emergency starting power supply are fixed, which makes it difficult to meet the power supply needs of cars with different performances. The emergency starting power supply for cars provided in this specification dynamically adjusts the charging parameters according to the status information and operating environment information of the car battery through the cloud platform, thereby overcoming this limitation. For cars with good performance, the current and time may exceed the demand and be wasted. For cars with poor performance, the voltage and current may not meet the demand and fail to start successfully. The emergency starting power supply for cars provided in this specification optimizes the charging parameters to ensure that the power supply needs of cars with different performances are accurately met, avoiding resource waste and starting failure. Through the dynamic adjustment of the charging parameters by the cloud platform, the solution can ensure that the car battery obtains the most suitable charging current and time, thereby improving the success rate of emergency starting. Accurate charging parameters can avoid overcharging and undercharging, causing less damage to the battery, thereby extending the service life of the battery. It avoids unnecessary current waste, reduces energy consumption, and complies with the environmental protection concept of energy conservation and emission reduction. Through data processing and decision-making on the cloud platform, intelligent management of the emergency starting power supply is realized, and the intelligence level of the equipment is improved. Users do not need to worry about whether the output current and duration of the emergency starting power supply are suitable for their cars, because the cloud platform will dynamically adjust according to the actual situation, improving the user experience;

[0018] 2. By collecting the optimal charging parameters of multiple test car batteries under various test environments and test conditions, the cloud platform can accurately match the initial charging parameters for each car battery. This personalized customization method ensures that each battery can obtain the charging solution that best suits its characteristics, thereby improving charging efficiency and battery life. The cloud platform can dynamically adjust the charging parameters according to the actual operating environment information and status information of the battery to adapt to different usage scenarios and needs. This dynamic adjustment capability enables the battery to maintain optimal performance under different conditions. By accurately matching the initial charging parameters, the cloud platform can optimize the battery charging process, reduce charging time, and improve charging efficiency. This helps to reduce battery losses during the charging process and extend its service life. The cloud platform can timely warn and prevent harmful phenomena such as overcharging and over-discharging of the battery based on the real-time status information of the battery. This helps to protect the battery from damage and improve its reliability and safety;

[0019] 3. The cloud platform can calculate the environmental difference and state difference based on the real-time status information and operating environment information of the car battery, and judge whether the initial charging parameters need to be adjusted accordingly. This dynamic adjustment mechanism enables the charging parameters to adapt to the actual condition of the battery in real time, thereby improving the charging efficiency and battery performance. The cloud platform has established a parameter determination model for each test car battery cluster. When the cloud platform adjusts the initial charging parameters based on the status information and operating environment information of the car battery, it will use the parameter determination model corresponding to the matching test car battery cluster to generate the optimal charging parameters. This modeling method makes the adjustment of charging parameters more accurate and efficient, which helps to further improve the charging efficiency and performance of the battery.

[0020] 4. The car emergency starting power supply is equipped with temperature control components, including cooling devices and heating devices, which are set at different positions in the shell to ensure the uniformity and effectiveness of temperature control. The cloud platform generates a temperature control plan based on the operating environment information, and the charging controller controls the cooling device or heating device to control the temperature according to the plan. This temperature control mechanism can optimize the charging environment of the battery, improve charging efficiency and battery life. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0022] Figure 1 It is a module diagram of a car emergency starting power supply shown in an embodiment of the present application;

[0023] Figure 2It is a structural diagram of an automobile emergency starting power supply shown in an embodiment of the present application;

[0024] Figure 3 It is an explosion diagram of an automobile emergency starting power supply shown in one embodiment of the present application.

[0025] In the figure, 10, shell; 11, upper cover; 12, lower cover; 13, end cover; 14, lampshade plate; 15, foot block; 16, handle; 17, dust cover; 101, accommodating cavity; 102, concave cavity; 103, first hook; 104, buckle hole; 105, buckle groove; 106, second hook; 107, slot; 108, embedding groove; 20, charging controller; 21, main control board; 22, main switch; 23, indicator light; 24, DC output interface; 25, charging output interface; 26, charging input interface; 27, car emergency output interface; 30, energy storage battery; 40, LED light board. DETAILED DESCRIPTION

[0026] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following briefly introduces the drawings required for describing the embodiments.

[0027] Figure 1 is a module diagram of an automobile emergency starting power supply shown in an embodiment of the present application, such as Figure 1 As shown, a car emergency starting power supply includes a housing ( Figure 1 ), power supply assembly, state monitoring assembly, environment monitoring assembly and charging controller. The power supply assembly, state monitoring assembly and environment monitoring assembly are all electrically connected to the charging controller.

[0028] The power supply component includes an energy storage battery, a charging output interface, a charging input interface, and a vehicle emergency output interface connected to a wire clamp. The charging output interface, the charging input interface, and the vehicle emergency output interface are all electrically connected to the energy storage battery. The energy storage battery is arranged in a shell, and the charging output interface, the charging input interface, and the vehicle emergency output interface are all arranged on the shell.

[0029] Figure 2 is a structural diagram of an automobile emergency starting power supply shown in an embodiment of the present application, Figure 3 FIG. 1 is an exploded schematic diagram of an automobile emergency starting power supply shown in an embodiment of the present application. Figure 2 and Figure 3As shown, the shell 10 includes an upper cover 11, a lower cover 12 and two end covers 13, and the upper cover 11 and the lower cover 12 are assembled and enclosed to form a accommodating cavity 101, wherein one end cover 13 is sleeved between one end of the upper cover 11 and one end of the lower cover 12 and is fixed with the upper cover 11 and the lower cover 12 by snapping, and the other end cover 13 is sleeved between the other end of the upper cover 11 and the other end of the lower cover 12 and is fixed with the upper cover 11 and the lower cover 12 by snapping, thereby realizing screw-free assembly; and the outer end surface of each end cover 13 is concavely provided with a concave cavity 102, in which an LED lamp board 40 is embedded, and a lampshade plate 14 is snap-mounted on the end cover 13, and the lampshade plate 14 covers the opening of the concave cavity 102. The edges of both end surfaces of the upper cover 11 and the lower cover 12 are both extended outward with first hooks 103, and each end cover 13 is provided with a plurality of buckle holes 104, and the first hooks 103 are fastened with the corresponding buckle holes 104 in cooperation with buckles, and the inner wall surface of the concave cavity 102 is concavely provided with buckle grooves 105, and the inner side edge of the lampshade plate 14 is convexly provided with second hooks 106, and the lampshade plate 14 is embedded in the opening of the concave cavity 102, and the second hooks 106 are fastened with the buckle grooves 105. The upper cover 11 and the lower cover 12 are both made of plastic, and the two end covers 13 are both made of aluminum alloy. Moreover, the upper and lower surfaces of the two end covers 13 are both provided with recessed slots 107, and each of the recessed slots 107 is provided with a foot block 15. In addition, the surface of the upper cover 11 is provided with a recessed embedding slot 108, and the upper cover 11 is provided with a handle 16 that can be folded or opened for easy carrying. In the folded state, the handle 16 is embedded in the embedding slot 108 to reduce the space occupied.

[0030] The charging controller 20 is disposed in the accommodating cavity 101, and includes a main control board 21, a main switch 22, an indicator light 23, a DC output interface 24, a charging output interface 25, a charging input interface 26, and a car emergency output interface 27 connected to the wire clamp; the LED light board 40, the main switch 22, the indicator light 23, the DC output interface 24, the charging output interface 25, the charging input interface 26, and the car emergency output interface 27 are all electrically connected to the main control board 21 and are all exposed on the outer surface of the housing 10. The main switch 22, the indicator light 23, the DC output interface 24, the charging output interface 25, the charging input interface 26, and the car emergency output interface 27 are all exposed on the same side of the housing 10, the indicator light 23 is multiple and is located beside the main switch 22, the charging output interface 25 is a USB interface, and there are two USB interfaces, the charging input interface 26 is a USB Type-C interface, and a dust cover 17 for covering the car emergency output interface 27 is provided on the side of the housing 10.

[0031] The energy storage battery 30 is disposed in the accommodating cavity 101 and is electrically connected to the main control board 21 .

[0032] When the car needs to be started, one end of the wire clip is connected to the car emergency output interface 27, and the other end of the wire clip is connected to the car power supply, and then the main switch 22 is turned on, and the energy storage battery 30 can supply power to the car power supply through the main control board 21 and the wire clip to start the car; when the corresponding lighting switch (not shown in the figure) is long pressed, the corresponding LED light panel 40 can be turned on to be always on, click SOS, click flash, and then click to turn off the LED light panel 40; when the electronic device needs to be charged, one end of the charging cable is connected to the charging output interface 25, and the other end of the charging cable is connected to the electronic device. At this time, the energy storage battery 30 can supply power to the electronic device through the main control board 21 and the charging cable; when the power in the energy storage battery 30 is exhausted, the charging cable is connected between the charging input interface 26 and the external power supply, and the energy storage battery 30 can be charged through the main control board 21.

[0033] The environment monitoring component is used to obtain operating environment information.

[0034] Specifically, the environmental monitoring component may include an environmental temperature sensor, an environmental humidity sensor, and a sensor, etc., wherein the temperature sensor is used to monitor the temperature of the power supply and its surrounding environment. Therefore, the environmental temperature can be understood in real time through the temperature sensor so that measures can be taken to adjust it when necessary. The humidity sensor is used to monitor the humidity of the environment. The air pressure sensor is used to monitor the air pressure of the environment.

[0035] The status monitoring component is used to obtain the status information of the vehicle battery.

[0036] Specifically, the status monitoring component may include a voltage sensor and a current sensor. Voltage sensor: used to monitor the real-time voltage of the battery. Voltage is an important indicator for evaluating the battery power and health status. The voltage sensor can monitor the voltage change of the battery in real time to determine whether the battery is in a normal charging state, discharging state, or whether there is a problem of insufficient power. The current sensor is used to monitor the real-time current of the battery.

[0037] The charging controller is used to upload the status information and operating environment information of the automobile battery to the cloud platform. The cloud platform is used to obtain the initial charging parameters of the automobile battery. The cloud platform is also used to determine whether to adjust the initial charging parameters of the automobile battery based on the status information and operating environment information of the automobile battery. If not, the initial charging parameters are sent to the charging controller. If so, the initial charging parameters of the automobile battery are adjusted based on the status information and operating environment information of the automobile battery to generate optimal charging parameters, and the optimal charging parameters are sent to the charging controller.

[0038] Preferably, the cloud platform obtains the initial charging parameters of the vehicle battery including:

[0039] Acquire a plurality of test data sets of test vehicle batteries, wherein the test data sets of the test vehicle batteries include test optimal charging parameters of the test vehicle batteries under a plurality of test environments and a plurality of test conditions, wherein the charging parameters may include output current magnitude and single discharge duration, etc.;

[0040] According to the test data sets of the multiple test vehicle batteries, the multiple test vehicle batteries are divided into multiple test vehicle battery clusters;

[0041] For each test vehicle battery cluster, determining an initial charging parameter corresponding to the test vehicle battery cluster according to a test data set of a plurality of test vehicle batteries included in the test vehicle battery cluster;

[0042] The initial charging parameters of the vehicle batteries are determined according to the initial charging parameters corresponding to each test vehicle battery cluster.

[0043] Preferably, the cloud platform divides the plurality of test vehicle batteries into a plurality of test vehicle battery clusters according to the test data sets of the plurality of test vehicle batteries, including:

[0044] For each test vehicle battery, determine the parameter fluctuation coefficient of the test vehicle battery according to the test optimal charging parameters of the test vehicle battery under various test environments and various test conditions;

[0045] For each test vehicle battery, determine the correlation coefficient between the parameters corresponding to the test vehicle battery and each test environment factor according to the test optimal charging parameters of the test vehicle battery under various test environments and various test conditions;

[0046] For any two test vehicle batteries, determine the parameter similarity of the two test vehicle batteries according to the test optimal charging parameters of each test vehicle battery under multiple test environments and multiple test conditions;

[0047] A clustering algorithm is used to divide multiple test car batteries into multiple test car battery clusters according to the parameter fluctuation coefficient of each test car battery, the correlation coefficient between the parameters corresponding to the test car battery and each test environment factor, and the parameter similarity of any two test car batteries.

[0048] Specifically, the parameter fluctuation coefficient of the test car battery can be calculated according to the following formula:

[0049]

[0050] Among them, σ i is the parameter fluctuation coefficient of the i-th test car battery, σ (i,e)is the parameter fluctuation coefficient of the i-th test vehicle battery under the e-th test environment, E is the total number of test environments, P ((e,f),i) is the optimal charging parameter of the i-th test vehicle battery under the e-th test environment and the f-th test state, P ((e,),i) is the optimal charging parameter of the i-th test vehicle battery under the e-th test environment and the h-th test state, cos(P ((e,f),i) ,P ((e,),i) ) is the cosine similarity between the optimal charging parameters of the ith test vehicle battery in the eth test environment and the fth test state and the optimal charging parameters of the ith test vehicle battery in the eth test environment and the hth test state, and F is the total number of test states.

[0051] The correlation coefficient between the parameters corresponding to the test car battery and each test environment factor can be calculated according to the following formula:

[0052]

[0053] Among them, γ (i,j) is the correlation coefficient between the parameters corresponding to the i-th test vehicle battery and the j-th test environment factor, V (j,e) is the value of the jth test environment factor in the eth test environment.

[0054] The parameter similarity of the two test car batteries can be calculated according to the following formula:

[0055]

[0056] Among them, S (i,j) is the parameter similarity between the i-th test car battery and the j-th test car battery, P ((e,f),j) Optimal charging parameters for the jth test vehicle battery under the eth test environment and the fth test state.

[0057] According to the parameter fluctuation coefficient of each test car battery, the correlation coefficient between the parameters corresponding to the test car battery and each test environment factor, and the parameter similarity of any two test car batteries, multiple test car batteries can be divided into multiple test car battery clusters, the clustering distance of any two test car batteries can be calculated, and the multiple test car batteries can be divided into multiple test car battery clusters through the following process:

[0058] S11, determining the number of clusters K: determining how many clusters the multiple test car batteries need to be divided into, i.e., the K value, according to the similarity of parameters of any two test car batteries;

[0059] S12, initialization: randomly select K test car batteries as initial cluster centers;

[0060] S13, cluster allocation: traverse each test car battery, calculate their cluster distances with each cluster center point, and allocate them to the cluster where the cluster center point with the closest cluster distance is located;

[0061] S14, center point update: recalculate the cluster center point of each cluster, for example, use the test car battery with the smallest cluster distance mean in the cluster as the new center point;

[0062] S15, iteration: repeat S13 and S14 until a certain stopping condition is met, for example, the cluster center point no longer changes, the data point distribution no longer changes, or the set maximum number of iterations is reached;

[0063] S16. Output result: assign each test car battery to a corresponding test car battery cluster, and output the cluster label to which each test car battery belongs, thereby completing the clustering process.

[0064] Specifically, a univariate regression model may be established, wherein the independent variable of the univariate regression model is the cluster distance fluctuation parameter, and the dependent variable of the univariate regression model is the K value.

[0065] The cluster distance fluctuation parameter can be calculated according to the following formula:

[0066]

[0067] Among them, σ distance is the cluster distance fluctuation parameter, D (i,j) is the clustering distance between the i-th test car battery and the j-th test car battery, and I is the total number of test car batteries.

[0068] The cluster distance of the two test car batteries can be calculated according to the following formula:

[0069]

[0070] Among them, D (i,j) is the clustering distance between the i-th test car battery and the j-th test car battery, a1, a2 and a3 are weights, a1, a2 and a3 are greater than 0, a1+a2+a3=1, σ j is the parameter fluctuation coefficient of the jth test car battery, γ (i,g) is the correlation coefficient between the parameters corresponding to the i-th test vehicle battery and the g-th test environment factor, γ (j,g) is the correlation coefficient between the parameter corresponding to the jth test car battery and the gth test environment factor, G is the total number of test environment factors, 1 and 2 are preset parameters, and 1 and 2 are greater than 0.

[0071] Preferably, the cloud platform determines the initial charging parameters corresponding to the test vehicle battery cluster according to the test data sets of the multiple test vehicle batteries included in the test vehicle battery cluster, including:

[0072] Obtain operating environment information and status information of multiple sample automobile batteries;

[0073] According to the operating environment information of multiple sample car batteries, the key test environment is determined from multiple test environments;

[0074] According to the status information of multiple sample automobile batteries, a key test status is determined from multiple test statuses;

[0075] According to the test data sets, key test environments and key test states of the multiple test vehicle batteries included in the test vehicle battery cluster, initial charging parameters corresponding to the test vehicle battery cluster are determined.

[0076] Specifically, for each test environment, the actual occurrence ratio corresponding to the test environment can be calculated based on the operating environment information of multiple sample automobile batteries, and the test environment with the largest actual occurrence ratio is taken as the key test environment.

[0077] For each test state, the actual occurrence ratio corresponding to the state information can be calculated based on the state information of multiple sample automobile batteries, and the state information with the largest actual occurrence ratio is taken as the key test state.

[0078] The optimal charging parameters of each vehicle battery included in the test vehicle battery cluster under the key test environment and key test state may be averaged to serve as the initial charging parameters corresponding to the test vehicle battery cluster.

[0079] Preferably, the cloud platform determines the initial charging parameters of the vehicle battery according to the initial charging parameters corresponding to each test vehicle battery cluster, including:

[0080] For each test vehicle battery cluster, determine the consistency coefficient between the test vehicle battery cluster and each structural factor according to the structural characteristics of the test vehicle batteries included in the test vehicle battery cluster, and determine the key structural factor corresponding to the test vehicle battery cluster according to the consistency coefficient between the test vehicle battery cluster and each structural factor, wherein the key structural factor may be at least one of the electrode plate thickness, electrode plate area, separator material, separator pore size, electrolyte concentration, electrolyte composition, etc.;

[0081] Determine the matching test vehicle battery cluster for the vehicle battery according to the structural characteristics of the vehicle battery and the key structural factors corresponding to each test vehicle battery cluster;

[0082] The matching test of the automobile battery uses the initial charging parameters corresponding to the automobile battery cluster to determine the initial charging parameters of the automobile battery.

[0083] Specifically, the consistency coefficient between the test vehicle battery cluster and each structural factor can be calculated according to the following formula:

[0084]

[0085] Among them, ψ t is the consistency coefficient between the test vehicle battery cluster and the tth structural factor, V (u,t) is the value of the tth structure factor of the uth test vehicle battery included in the test vehicle battery cluster, and U is the total number of test vehicle batteries included in the test vehicle battery cluster.

[0086] The structural factor with a consistency coefficient greater than a consistency coefficient threshold can be used as a key structural factor corresponding to the test vehicle battery cluster.

[0087] Preferably, the cloud platform determines the matching test vehicle battery cluster of the vehicle battery according to the structural characteristics of the vehicle battery and the key structural factors corresponding to each test vehicle battery cluster, including:

[0088] For each test car battery cluster, based on the key structural factors corresponding to the test car battery cluster, extract the structural features of the test car battery cluster corresponding to each test car battery included in the test car battery cluster, and determine the cluster structural features of the test car battery cluster according to the structural features of the test car battery cluster corresponding to each test car battery included in the test car battery cluster, wherein the structural features of the test car battery cluster may include the value of each key structural factor corresponding to the test car battery cluster, and the structural features of the test car battery cluster corresponding to each test car battery included in the test car battery cluster may be averaged as the cluster structural features of the test car battery cluster;

[0089] For each test car battery cluster, based on the key structural factors corresponding to the test car battery cluster, the structural features of the car battery corresponding to the test car battery cluster are extracted, and the matching degree between the car battery and the test car battery cluster is determined according to the structural features of the car battery corresponding to the test car battery cluster and the cluster structural features of the test car battery cluster. The cosine similarity between the structural features of the car battery corresponding to the test car battery cluster and the cluster structural features of the test car battery cluster can be calculated as the matching degree between the car battery and the test car battery cluster;

[0090] Determine the matching degree between the vehicle battery and each test vehicle battery cluster, and determine the matching test vehicle battery cluster of the vehicle battery. For example, the test vehicle battery cluster with the greatest matching degree is used as the matching test vehicle battery cluster of the vehicle battery.

[0091] Preferably, the cloud platform is also used to determine whether to adjust the initial charging parameters of the vehicle battery according to the status information and operating environment information of the vehicle battery, including:

[0092] Calculate the environmental difference based on the status information of the vehicle battery and the key test environment;

[0093] Calculate the status difference based on the status information of the vehicle battery and the key test status;

[0094] According to the environmental difference and the state difference, it is determined whether to adjust the initial charging parameters of the vehicle battery.

[0095] Specifically, the environment difference and the state difference may be weighted and summed to obtain a comprehensive difference. When the comprehensive difference is greater than a comprehensive difference threshold, it is determined that the initial charging parameters of the vehicle battery are adjusted.

[0096] Preferably, an automobile emergency starting power supply further includes a temperature control component, wherein the temperature control component includes a refrigeration device and a heating device, the refrigeration device includes a plurality of refrigerators arranged at different positions in the housing, and the heating device includes a plurality of heaters arranged at different positions in the housing;

[0097] The cloud platform is also used to generate a temperature control plan according to the operating environment information, wherein the temperature control plan may include the location of a refrigerator that needs to perform cooling work and the operating parameters (e.g., current, voltage, etc.) of the refrigerator that needs to perform cooling work or the location of a heater that needs to perform cooling work and the operating parameters of the heater that needs to perform cooling work;

[0098] The charge controller is also used to control the refrigeration device or the heating device to perform temperature control according to the temperature control scheme.

[0099] Preferably, the cloud platform adjusts the initial charging parameters of the vehicle battery according to the status information and operating environment information of the vehicle battery to generate the optimal charging parameters, including:

[0100] For each test vehicle battery cluster, a parameter determination model corresponding to the test vehicle battery cluster is established, wherein the parameter determination model may be a convolutional neural network (CNN) model;

[0101] By matching the parameter determination model corresponding to the test vehicle battery cluster, the initial charging parameters of the vehicle battery are adjusted according to the vehicle battery status information and operating environment information to generate the optimal charging parameters. The input of the matching test vehicle battery cluster corresponding parameter determination model may include the vehicle battery status information and operating environment information for the initial charging parameters of the vehicle battery, and the output of the matching test vehicle battery cluster corresponding parameter determination model may include the optimal charging parameters.

[0102] The charging controller is also used to control the energy storage battery to charge the vehicle battery based on the initial charging parameters or optimal charging parameters sent by the cloud platform.

[0103] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. A car emergency starting power supply, characterized in that: It includes a housing, a power supply component, a state monitoring component, an environment monitoring component and a charging controller, wherein the power supply component, the state monitoring component and the environment monitoring component are all electrically connected to the charging controller; The power supply assembly includes an energy storage battery, a charging output interface, a charging input interface, and an automobile emergency output interface connected to the wire clamp, wherein the charging output interface, the charging input interface, and the automobile emergency output interface are all electrically connected to the energy storage battery, the energy storage battery is arranged in the housing, and the charging output interface, the charging input interface, and the automobile emergency output interface are all arranged on the housing; The state monitoring component is used to obtain the state information of the vehicle battery; The environment monitoring component is used to obtain operating environment information; The charging controller is used to upload the state information and operating environment information of the automobile battery to the cloud platform, and the cloud platform is used to obtain the initial charging parameters of the automobile battery. The cloud platform is also used to determine whether to adjust the initial charging parameters of the automobile battery according to the state information and operating environment information of the automobile battery. If not, the initial charging parameters are sent to the charging controller. If so, the initial charging parameters of the automobile battery are adjusted according to the state information and operating environment information of the automobile battery to generate optimal charging parameters, and the optimal charging parameters are sent to the charging controller; The charging controller is also used to control the energy storage battery to charge the vehicle battery based on the initial charging parameters or optimal charging parameters sent by the cloud platform.

2. The automobile emergency starting power supply according to claim 1, characterized in that: The cloud platform obtains the initial charging parameters of the vehicle battery including: Acquire a plurality of test data sets of vehicle batteries for testing, wherein the test data sets of the vehicle batteries for testing include optimal charging parameters of the vehicle batteries for testing under a plurality of test environments and a plurality of test conditions; According to the test data sets of the multiple test vehicle batteries, the multiple test vehicle batteries are divided into multiple test vehicle battery clusters; For each of the test vehicle battery clusters, determining an initial charging parameter corresponding to the test vehicle battery cluster according to a test data set of a plurality of test vehicle batteries included in the test vehicle battery cluster; The initial charging parameters of the vehicle battery are determined according to the initial charging parameters corresponding to each of the test vehicle battery clusters.

3. The automobile emergency starting power supply according to claim 2, characterized in that: The cloud platform divides the plurality of test vehicle batteries into a plurality of test vehicle battery clusters according to the test data sets of the plurality of test vehicle batteries, including: For each of the test vehicle batteries, determining a parameter fluctuation coefficient of the test vehicle battery according to the test optimal charging parameters of the test vehicle battery under a variety of test environments and a variety of test conditions; For each of the test vehicle batteries, determining the correlation coefficient between the parameters corresponding to the test vehicle battery and each test environment factor according to the test optimal charging parameters of the test vehicle battery under multiple test environments and multiple test conditions; For any two of the test vehicle batteries, determining the parameter similarity of the two test vehicle batteries according to the test optimal charging parameters of each of the test vehicle batteries under a variety of test environments and a variety of test conditions; The multiple test car batteries are divided into multiple test car battery clusters by a clustering algorithm according to the parameter fluctuation coefficient of each test car battery, the correlation coefficient between the parameters corresponding to the test car battery and each test environment factor, and the parameter similarity between any two test car batteries.

4. The automobile emergency starting power supply according to claim 3, characterized in that: The cloud platform determines the initial charging parameters corresponding to the test vehicle battery cluster according to the test data sets of the multiple test vehicle batteries included in the test vehicle battery cluster, including: Obtain operating environment information and status information of multiple sample automobile batteries; Determining a key test environment from the multiple test environments according to the operating environment information of the multiple sample automobile batteries; Determining a critical test state from the plurality of test states according to the state information of the plurality of sample automobile batteries; According to the test data sets of the multiple test vehicle batteries included in the test vehicle battery cluster, the key test environment and the key test state, the initial charging parameters corresponding to the test vehicle battery cluster are determined.

5. The automobile emergency starting power supply according to claim 3 or 4, characterized in that: The cloud platform determines the initial charging parameters of the vehicle battery according to the initial charging parameters corresponding to each of the test vehicle battery clusters, including: For each of the test vehicle battery clusters, determining a consistency coefficient between the test vehicle battery cluster and each structural factor according to structural features of the test vehicle batteries included in the test vehicle battery cluster, and determining a key structural factor corresponding to the test vehicle battery cluster according to the consistency coefficient between the test vehicle battery cluster and each structural factor; Determining a matching test vehicle battery cluster for the vehicle battery according to the structural features of the vehicle battery and the key structural factors corresponding to each test vehicle battery cluster; The matching test of the automobile battery uses the initial charging parameters corresponding to the automobile battery cluster to determine the initial charging parameters of the automobile battery.

6. The automobile emergency starting power supply according to claim 5, characterized in that: The cloud platform determines a matching test vehicle battery cluster for the vehicle battery according to the structural characteristics of the vehicle battery and the key structural factors corresponding to each test vehicle battery cluster, including: For each of the test vehicle battery clusters, based on the key structural factors corresponding to the test vehicle battery cluster, extract the structural features of each test vehicle battery included in the test vehicle battery cluster corresponding to the test vehicle battery cluster, and determine the cluster structural features of the test vehicle battery cluster according to the structural features of each test vehicle battery included in the test vehicle battery cluster corresponding to the test vehicle battery cluster; For each of the test vehicle battery clusters, extracting structural features of the vehicle battery corresponding to the test vehicle battery cluster based on key structural factors corresponding to the test vehicle battery cluster, and determining the matching degree between the vehicle battery and the test vehicle battery cluster according to the structural features of the vehicle battery corresponding to the test vehicle battery cluster and the cluster structural features of the test vehicle battery cluster; The matching degree between the vehicle battery and each of the testing vehicle battery clusters is determined, and the matching testing vehicle battery cluster of the vehicle battery is determined.

7. The automobile emergency starting power supply according to claim 4, characterized in that: The cloud platform is also used to determine whether to adjust the initial charging parameters of the automobile battery according to the status information and operating environment information of the automobile battery, including: Calculating an environmental difference according to the state information of the vehicle battery and the key test environment; Calculating a state difference according to the state information of the vehicle battery and the key test state; According to the environmental difference and the state difference, it is determined whether to adjust the initial charging parameters of the vehicle battery.

8. An automobile emergency starting power supply according to any one of claims 1 to 4, characterized in that: Also included is a temperature control component, wherein the temperature control component includes a refrigeration device and a heating device, the refrigeration device includes a plurality of refrigerators arranged at different positions in the shell, and the heating device includes a plurality of heaters arranged at different positions in the shell; The cloud platform is also used to generate a temperature control plan according to the operating environment information; The charging controller is also used to control the refrigeration device or the heating device to perform temperature control according to the temperature control scheme.

9. The automobile emergency starting power supply according to claim 6, characterized in that: The cloud platform adjusts the initial charging parameters of the automobile battery according to the status information and the operating environment information of the automobile battery to generate the optimal charging parameters, including: For each of the test vehicle battery clusters, establishing a parameter determination model corresponding to the test vehicle battery cluster; The parameter determination model corresponding to the matching test vehicle battery cluster is used to adjust the initial charging parameters of the vehicle battery according to the state information and operating environment information of the vehicle battery to generate the optimal charging parameters.

10. An automobile emergency starting power supply according to any one of claims 1 to 4, characterized in that: The shell comprises an upper cover, a lower cover and two sets of ring bodies, the upper cover and the lower cover are assembled up and down to enclose and form a containing cavity, one set of the ring bodies is sleeved between one end of the upper cover and one end of the lower cover and is fixed by snapping with the upper cover and the lower cover, the other set of the ring bodies is sleeved between the other end of the upper cover and the other end of the lower cover and is fixed by snapping with the upper cover and the lower cover, both end surfaces of the upper cover and the end surfaces of the lower cover are concavely provided with snap grooves, and both upper and lower inner wall surfaces of the two sets of ring bodies are integrally formed with snap hooks, and the snap hooks are fixed by snapping with the corresponding snap grooves; The housing is also provided with a main switch, an indicator light, and an emergency lighting lamp, and the main switch, the indicator light, and the emergency lighting lamp are all electrically connected to the energy storage battery; The upper and lower surfaces of the two sets of ring bodies are both concavely provided with slots, and a foot block is clamped in each slot; The emergency lighting, the charging output interface and the charging input interface are exposed side by side on the front end surface of the shell, and the front end surface of the shell is provided with a first dust cover for covering the charging output interface and the charging input interface; The automobile emergency output interface is exposed on the side of the shell, and the side of the shell is provided with a second dust cover for covering the automobile emergency output interface.

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