A smart management system, method, and storage medium for lithium batteries

Abstract

This invention proposes an intelligent management system for lithium batteries, comprising an energy storage management module, a battery monitoring module, and a battery pack control module connected to the energy storage management module. The system includes: a status analysis unit for managing and analyzing collected data, identifying individual cells exhibiting abnormal data as "abnormal cells"; if the temperature of an abnormal cell in the current cycle or the predicted temperature for the next cycle exceeds a threshold, an interval analysis signal is generated; based on the interval analysis signal and combined with the overall temperature rise, a battery early warning signal is formed and transmitted to the battery monitoring module; and the battery pack control module for adjusting the cooling equipment inside the lithium battery according to the overall temperature rise using a corresponding adjustment mode. This invention also provides corresponding methods and storage media. Implementing this invention can solve the problem of the internal temperature environment of lithium batteries, improve the safety of lithium battery use, and ensure the performance of lithium batteries.

Description

Technical Field

[0001] This invention relates to the field of lithium battery technology, and more specifically to an intelligent management system, method, and storage medium for lithium batteries. Background Technology

[0002] During power maintenance or emergency repairs, uninterrupted power supply is required for customers. In existing technologies, high-safety mobile energy storage power supplies utilize lithium iron phosphate cells that meet usage requirements. After being grouped and matched, these cells are connected in series via laser welding and screw fastening to form a high-voltage battery pack system. This system is then used in conjunction with a battery management system (BMS) and connected via an energy storage inverter. This mobile energy storage power supply converts AC power into DC power to charge and store the energy in the battery. When the customer needs power, the stored DC power is converted back into AC power to supply the load.

[0003] However, when lithium batteries are used, the temperature rises, which changes the operating environment and affects the performance of the lithium batteries. In severe cases, it can cause the batteries to explode suddenly, affecting the safety of the battery's operating environment. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent management system, method and storage medium for lithium batteries, which can solve the problem of internal temperature environment of lithium batteries, improve the safety of lithium battery use and ensure the performance of lithium batteries.

[0005] Embodiments of the present invention provide an intelligent management system for lithium batteries, comprising an energy storage management module, a battery monitoring module and a battery pack control module respectively connected to the energy storage management module, wherein:

[0006] The energy storage management module includes a voltage detection unit, a current detection unit, a temperature acquisition unit, a power detection unit, and a status analysis unit, among which:

[0007] The voltage detection unit is used to collect the voltage of the individual cells in the lithium battery and transmit it to the state analysis unit. The cells in the lithium battery are connected in series.

[0008] The current detection unit is used to collect the current of the lithium battery and transmit it to the state analysis unit.

[0009] The temperature acquisition unit is used to acquire the temperature in the lithium battery and transmit it to the state analysis unit.

[0010] The power detection unit is used to acquire the power of a single battery cell during operation and transmit it to the status analysis unit. Battery operation includes discharge status and charging status.

[0011] The status analysis unit is used to manage and analyze the collected data, identify individual cells with abnormal data as abnormal cells; if the temperature of an abnormal cell in the current cycle or the predicted temperature in the next cycle exceeds the threshold, an interval analysis signal is generated, and a battery warning signal is formed based on the interval analysis signal and the comprehensive temperature rise, and then transmitted to the battery monitoring module.

[0012] The battery monitoring module is used to receive battery warning signals, generate audible and visual alarm information based on the battery warning signals, and transmit them to the management personnel.

[0013] The battery pack control module is used to adjust the cooling equipment inside the lithium battery according to the overall temperature rise using the corresponding adjustment mode.

[0014] Preferably, the temperature acquisition unit sets the temperature acquisition points and performs temperature acquisition in the following manner:

[0015] First, a temperature detection point is set at the current output port of a single cell to obtain the gap area in the lithium battery. The gap area refers to the area enclosed by adjacent single cells. The closed gap area is marked as the first-level interval, and the unclosed gap area is marked as the second-level interval. The positions of the center points of the first-level interval and the second-level interval are obtained, and their center points are set as temperature acquisition points respectively. The acquisition frequency of the temperature acquisition point of the first-level interval is greater than that of the temperature acquisition point of the second-level interval.

[0016] Preferably, the state analysis unit further includes:

[0017] The abnormal data determination unit is used to manage and analyze the collected data, and to perform normal detection on the collected data. Normal detection refers to comparing the collected data with the operating range, marking data within the operating range as normal data, and otherwise marking it as abnormal data. Individual cells with abnormal data are marked as abnormal cells. The collected data includes current, voltage, temperature and charge, and the operating range refers to the normal threshold range of the equipment.

[0018] The temperature rise rate determination unit is used to acquire the collected data of the different single cell before the predetermined time threshold t1, subtract the amount of charge after time t1 from the amount of charge before time t1, and divide the difference by t1 to obtain the charge change rate. The charge change rate includes the charging rate and the discharging rate. The sign in the charge change rate only indicates charging or discharging, not the magnitude. A positive sign indicates that the different single cell is in the discharging state, and a negative sign indicates that the different single cell is in the charging state.

[0019] And adopt We obtain the internal resistance r of the different single cell at this time, E is the electromotive force of the different single cell, Ua is the average voltage during time t1, and Ia is the average current during time t1.

[0020] And based on the formula The temperature change rate Ws is obtained, where Vd is the rate of change of charge, r0 is the internal resistance of the cell at the initial time, ΔW is the temperature W2 of the cell after time t1 minus the temperature W1 before time t1, and λ1 is the influence coefficient.

[0021] The interval analysis signal generation unit is used to compare the temperature change rate Ws with the threshold rate Wy. When Ws≤Wy, the temperature change rate Ws is multiplied by t1, and the result is added to W2 to obtain the predicted temperature after the next time t1. The predicted temperature is then compared with the operating range of the temperature. When the predicted temperature is within the operating range, it is marked as normal operation. When the predicted temperature is no longer within the operating range, an interval analysis signal is generated. When Ws>Wy, an interval analysis signal is generated directly to obtain the collected data of the first-level interval and the second-level interval involving the heterogeneous single cell, respectively.

[0022] The comprehensive temperature rise acquisition unit is used to calculate the spatial temperature rate of the primary and secondary spaces. The spatial temperature rate is the average temperature change over time t1. The comprehensive temperature rise Zs is obtained based on Zs=(Ws×β1+K1×β2+K2×β3)×α2, where K1 is the spatial temperature rate of the primary space, K2 is the spatial temperature rate of the secondary space, β1, β2 and β3 are weighting coefficients, and α2 is the temperature rate influence factor.

[0023] The battery warning signal acquisition unit is used to fuse the comprehensive temperature rise and interval analysis signals into a battery warning signal and transmit it to the battery monitoring module.

[0024] Preferably, in the battery pack control module, the adjustment mode of the cooling device includes a normal mode and an emergency mode;

[0025] Among them, the general mode is the cooling method of lithium battery under normal operating conditions, which refers to the operating state where the comprehensive temperature rise is less than or equal to the threshold X1.

[0026] Emergency mode is a cooling method for lithium batteries under abnormal operating conditions, referring to an operating state where the overall temperature rise exceeds a threshold X1.

[0027] As another aspect of the present invention, a smart management method for lithium batteries is also provided, which is implemented using the system described above, and the method includes at least the following steps:

[0028] Step S10: Collect the voltage, current, temperature, and power of individual cells in the lithium battery and transmit them to the status analysis unit.

[0029] Step S11: The status analysis unit manages and analyzes the collected data, and identifies individual cells with abnormal data as abnormal cells. If the temperature of an abnormal cell in the current cycle or the predicted temperature in the next cycle exceeds the threshold, an interval analysis signal is generated. Based on the interval analysis signal and combined with the comprehensive temperature rise, a battery warning signal is formed and transmitted to the battery monitoring module.

[0030] Step S12: The battery monitoring module receives the battery warning signal and generates audible and visual alarm information based on the battery warning signal.

[0031] In step S13, the battery pack control module adjusts the cooling equipment inside the lithium battery according to the overall temperature rise using the corresponding adjustment mode.

[0032] Preferably, in step S10, the temperature of a single cell in the lithium battery is collected, specifically as follows:

[0033] First, a temperature detection point is set at the current output port of a single cell to obtain the gap area in the lithium battery. The gap area refers to the area enclosed by adjacent single cells. The closed gap area is marked as the first-level interval, and the unclosed gap area is marked as the second-level interval. The positions of the center points of the first-level interval and the second-level interval are obtained, and their center points are set as temperature acquisition points respectively. The acquisition frequency of the temperature acquisition point of the first-level interval is greater than that of the temperature acquisition point of the second-level interval.

[0034] Preferably, step S11 further includes:

[0035] Step S110: Manage and analyze the collected data, and perform normal detection on the collected data. Normal detection means comparing the collected data with the operating range. Data within the operating range is marked as normal data, and data outside the operating range is marked as abnormal data. The collected data includes current, voltage, temperature and power. The operating range refers to the normal threshold range of the equipment.

[0036] Step S111: Mark the individual cells with abnormal data as abnormal cells, and obtain the collected data of the abnormal cells before the predetermined time threshold t1. Subtract the charge after time t1 from the charge before time t1, and divide the difference by t1 to obtain the charge change rate. The charge change rate includes the charging rate and the discharging rate. The sign in the charge change rate only indicates charging or discharging, not the magnitude. A positive sign indicates that the abnormal cell is in a discharging state, and a negative sign indicates that the abnormal cell is in a charging state.

[0037] use We obtain the internal resistance r of the different single cell at this time, E is the electromotive force of the different single cell, Ua is the average voltage during time t1, and Ia is the average current during time t1.

[0038] Based on formula The temperature change rate Ws is obtained, where Vd is the rate of change of charge, r0 is the internal resistance of the cell at the initial time, ΔW is the temperature W2 of the cell after time t1 minus the temperature W1 before time t1, and λ1 is the influence coefficient.

[0039] Step S112: Compare the temperature change rate Ws with the threshold rate Wy. When Ws≤Wy, multiply the temperature change rate Ws by t1 and add W2 to the result to obtain the predicted temperature after the next t1 time. Then compare the predicted temperature with the operating range of the temperature. When the predicted temperature is within the operating range, it is marked as normal operation. When the predicted temperature is no longer within the operating range, an interval analysis signal is generated. When Ws>Wy, an interval analysis signal is directly generated to obtain the collected data of the first-level interval and the second-level interval involving the heterogeneous single cell, respectively.

[0040] Step S113: Calculate the temperature rate of the primary and secondary spaces. The temperature rate is the average value of the temperature change within time t1.

[0041] The comprehensive temperature rise Zs is obtained based on Zs=(Ws×β1+K1×β2+K2×β3)×α2, where K1 is the spatial temperature rate of the first-level space, K2 is the spatial temperature rate of the second-level space, β1, β2 and β3 are the weighting coefficients, and α2 is the temperature rate influence factor.

[0042] In step S114, the comprehensive temperature rise and interval analysis signals are fused into a battery early warning signal and transmitted to the battery monitoring module.

[0043] Preferably, in step S13, the battery pack control module adjusts the cooling equipment inside the lithium battery using a corresponding adjustment mode based on the overall temperature rise, including:

[0044] In the battery pack control module, the cooling device has two adjustment modes: normal mode and emergency mode.

[0045] When the overall temperature rise is less than or equal to the threshold X1, the cooling equipment is adjusted using the general mode.

[0046] When the overall temperature rise exceeds the threshold X1, an emergency mode is activated to adjust the cooling equipment.

[0047] As another aspect of the present invention, a computer-readable storage medium is also provided, which stores a program or instructions that, when read and executed by a computer, cause the computer to perform the method as described above.

[0048] Implementing this invention has the following beneficial effects:

[0049] This invention provides an intelligent management system, method, and storage medium for lithium batteries. By setting different temperature acquisition points to collect the temperature in the lithium battery, and setting different acquisition frequencies according to the environment of the temperature acquisition points, the temperature in the lithium battery can be accurately collected and monitored, and abnormalities in the lithium battery temperature can be detected in a timely manner.

[0050] By implementing this invention, information about different single-cell batteries can be detected and acquired, operational data of these batteries can be collected and calculated, the overall temperature rise around the batteries can be obtained, and the cooling equipment inside the lithium battery can be adjusted based on the overall temperature rise. This timely cuts off and cools the temperature inside the lithium battery, reducing the incidence of internal battery explosions. On the one hand, this improves the safety of lithium battery use; on the other hand, it enables the cooling device in the lithium battery to adapt to the ambient temperature inside the battery, thereby ensuring the optimal operating temperature range for the lithium battery and guaranteeing its performance. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, obtaining other drawings based on these drawings without creative effort still falls within the scope of the present invention.

[0052] Figure 1 This is a schematic diagram of an embodiment of an intelligent management system for lithium batteries provided by the present invention.

[0053] Figure 2 for Figure 1 A schematic diagram of the structure of the state analysis unit;

[0054] Figure 3 This is a flowchart illustrating an embodiment of an intelligent management method for lithium batteries provided by the present invention.

[0055] Figure 4 for Figure 3 A more detailed flowchart. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.

[0057] Figure 1 This is a schematic diagram of an embodiment of an intelligent management system for lithium batteries provided by the present invention; combined with Figure 2As shown, in this embodiment, the system includes at least: an energy storage management module 1, a battery monitoring module 2, and a battery pack control module 3, which are respectively connected to the energy storage management module 1, wherein:

[0058] The energy storage management module 1 includes a voltage detection unit 10, a current detection unit 11, a temperature acquisition unit 13, a power detection unit 14, and a status analysis unit 15, wherein:

[0059] The voltage detection unit 10 is used to collect the voltage of the individual cells in the lithium battery and transmit it to the state analysis unit. The cells in the lithium battery are connected in series.

[0060] The current detection unit 11 is used to collect the current of the lithium battery and transmit it to the state analysis unit.

[0061] Temperature acquisition unit 12 is used to acquire the temperature in the lithium battery and transmit it to the state analysis unit;

[0062] The power detection unit 131 is used to acquire the power of a single battery cell during operation and transmit it to the state analysis unit. The battery operation includes discharge state and charging state.

[0063] The status analysis unit 4 is used to manage and analyze the collected data, identify individual cells with abnormal data as abnormal cells; if the temperature of an abnormal cell in the current cycle or the predicted temperature in the next cycle exceeds the threshold, an interval analysis signal is generated, and a battery warning signal is formed based on the interval analysis signal and the comprehensive temperature rise, and then transmitted to the battery monitoring module.

[0064] Battery monitoring module 2 is used to receive battery warning signals, generate audible and visual alarm information based on the battery warning signals, and transmit it to the management personnel.

[0065] Battery pack control module 3 is used to adjust the cooling equipment inside the lithium battery according to the overall temperature rise using the corresponding adjustment mode.

[0066] More specifically, in one example, the temperature acquisition unit 13 sets the temperature acquisition point and acquires temperature data in the following manner:

[0067] First, a temperature detection point is set at the current output port of a single cell to obtain the gap area in the lithium battery. The gap area refers to the area enclosed by adjacent single cells. The closed gap area is marked as the first-level interval, and the unclosed gap area is marked as the second-level interval. The positions of the center points of the first-level interval and the second-level interval are obtained, and their center points are set as temperature acquisition points respectively. The acquisition frequency of the temperature acquisition point of the first-level interval is greater than that of the temperature acquisition point of the second-level interval.

[0068] like Figure 2 As shown, in one example, the state analysis unit 15 further includes:

[0069] The abnormal data determination unit 150 is used to manage and analyze the collected data, and to perform normal detection on the collected data. Normal detection refers to comparing the collected data with the operating range, marking data within the operating range as normal data, and otherwise marking it as abnormal data. Individual cells with abnormal data are marked as abnormal cells. The collected data includes current, voltage, temperature and charge. The operating range refers to the normal threshold range of the equipment.

[0070] The temperature rise change rate determination unit 151 is used to acquire the collected data of the different single cell before the predetermined time threshold t1, subtract the amount of charge after time t1 from the amount of charge before time t1, and divide the difference by t1 to obtain the charge change rate. The charge change rate includes the charging rate and the discharging rate. The sign in the charge change rate only indicates charging or discharging, not the magnitude. A positive sign indicates that the different single cell is in the discharging state, and a negative sign indicates that the different single cell is in the charging state.

[0071] And adopt We obtain the internal resistance r of the different single cell at this time, E is the electromotive force of the different single cell, Ua is the average voltage during time t1, and Ia is the average current during time t1.

[0072] And based on the formula The temperature change rate Ws is obtained, where Vd is the rate of change of charge, r0 is the internal resistance of the cell at the initial time, ΔW is the temperature W2 of the cell after time t1 minus the temperature W1 before time t1, and λ1 is the influence coefficient.

[0073] The interval analysis signal generation unit 152 is used to compare the temperature change rate Ws with the threshold rate Wy. When Ws≤Wy, the temperature change rate Ws is multiplied by t1, and the result is added to W2 to obtain the predicted temperature after the next time t1. Then, the predicted temperature is compared with the operating range of the temperature. When the predicted temperature is within the operating range, it is marked as normal operation. When the predicted temperature is no longer within the operating range, an interval analysis signal is generated. When Ws>Wy, the interval analysis signal is directly generated to obtain the collected data of the first-level interval and the second-level interval involving the heterogeneous single cell, respectively.

[0074] The comprehensive temperature rise acquisition unit 153 is used to calculate the spatial temperature rate of the primary space and the secondary space. The spatial temperature rate is the average temperature change within time t1. The comprehensive temperature rise Zs is obtained based on Zs=(Ws×β1+K1×β2+K2×β3)×α2, where K1 is the spatial temperature rate of the primary space, K2 is the spatial temperature rate of the secondary space, β1, β2 and β3 are weighting coefficients, and α2 is the temperature rate influence factor.

[0075] The battery warning signal acquisition unit 154 is used to fuse the comprehensive temperature rise and interval analysis signals into a battery warning signal and transmit it to the battery monitoring module.

[0076] More specifically, in the battery pack control module 3, the cooling device has an adjustment mode including a normal mode and an emergency mode.

[0077] Among them, the general mode is the cooling method of lithium battery under normal operating conditions, which refers to the operating state where the comprehensive temperature rise is less than or equal to the threshold X1.

[0078] Emergency mode is a cooling method for lithium batteries under abnormal operating conditions, referring to an operating state where the overall temperature rise exceeds a threshold X1.

[0079] like Figure 3 The diagram shown illustrates the main flow of an embodiment of an intelligent management method for lithium batteries provided by the present invention; in conjunction with... Figure 4 As shown, in this embodiment, the method is as follows: Figures 1 to 2 The system described, and more specifically, the method includes at least the following steps:

[0080] Step S10: Collect the voltage, current, temperature, and power of individual cells in the lithium battery and transmit them to the status analysis unit.

[0081] Step S11: The status analysis unit manages and analyzes the collected data, and identifies individual cells with abnormal data as abnormal cells. If the temperature of an abnormal cell in the current cycle or the predicted temperature in the next cycle exceeds the threshold, an interval analysis signal is generated. Based on the interval analysis signal and combined with the comprehensive temperature rise, a battery warning signal is formed and transmitted to the battery monitoring module.

[0082] Step S12: The battery monitoring module receives the battery warning signal and generates audible and visual alarm information based on the battery warning signal.

[0083] In step S13, the battery pack control module adjusts the cooling equipment inside the lithium battery according to the overall temperature rise using the corresponding adjustment mode.

[0084] In a specific example, in step S10, the temperature of a single cell in the lithium battery is collected, specifically as follows:

[0085] First, a temperature detection point is set at the current output port of a single cell to obtain the gap area in the lithium battery. The gap area refers to the area enclosed by adjacent single cells. The closed gap area is marked as the first-level interval, and the unclosed gap area is marked as the second-level interval. The positions of the center points of the first-level interval and the second-level interval are obtained, and their center points are set as temperature acquisition points respectively. The acquisition frequency of the temperature acquisition point of the first-level interval is greater than that of the temperature acquisition point of the second-level interval.

[0086] like Figure 4 As shown, in a specific example, step S11 further includes:

[0087] Step S110: Manage and analyze the collected data, and perform normal detection on the collected data. Normal detection means comparing the collected data with the operating range. Data within the operating range is marked as normal data, and data outside the operating range is marked as abnormal data. The collected data includes current, voltage, temperature and power. The operating range refers to the normal threshold range of the equipment.

[0088] Step S111: Mark the individual cells with abnormal data as abnormal cells, and obtain the collected data of the abnormal cells before the predetermined time threshold t1. Subtract the charge after time t1 from the charge before time t1, and divide the difference by t1 to obtain the charge change rate. The charge change rate includes the charging rate and the discharging rate. The sign in the charge change rate only indicates charging or discharging, not the magnitude. A positive sign indicates that the abnormal cell is in a discharging state, and a negative sign indicates that the abnormal cell is in a charging state.

[0089] use We obtain the internal resistance r of the different single cell at this time, E is the electromotive force of the different single cell, Ua is the average voltage during time t1, and Ia is the average current during time t1.

[0090] Based on formula The temperature change rate Ws is obtained, where Vd is the rate of change of charge, r0 is the internal resistance of the cell at the initial time, ΔW is the temperature W2 of the cell after time t1 minus the temperature W1 before time t1, and λ1 is the influence coefficient.

[0091] Step S112: Compare the temperature change rate Ws with the threshold rate Wy. When Ws≤Wy, multiply the temperature change rate Ws by t1 and add W2 to the result to obtain the predicted temperature after the next t1 time. Then compare the predicted temperature with the operating range of the temperature. When the predicted temperature is within the operating range, it is marked as normal operation. When the predicted temperature is no longer within the operating range, an interval analysis signal is generated. When Ws>Wy, an interval analysis signal is directly generated to obtain the collected data of the first-level interval and the second-level interval involving the heterogeneous single cell, respectively.

[0092] Step S113: Calculate the temperature rate of the primary and secondary spaces. The temperature rate is the average value of the temperature change within time t1.

[0093] The comprehensive temperature rise Zs is obtained based on Zs=(Ws×β1+K1×β2+K2×β3)×α2, where K1 is the spatial temperature rate of the first-level space, K2 is the spatial temperature rate of the second-level space, β1, β2 and β3 are the weighting coefficients, and α2 is the temperature rate influence factor.

[0094] In step S114, the comprehensive temperature rise and interval analysis signals are fused into a battery early warning signal and transmitted to the battery monitoring module.

[0095] More specifically, in step S13, the battery pack control module adjusts the cooling equipment inside the lithium battery using a corresponding adjustment mode based on the overall temperature rise, including:

[0096] In the battery pack control module, the cooling device has two adjustment modes: normal mode and emergency mode.

[0097] When the overall temperature rise is less than or equal to the threshold X1, the cooling equipment is adjusted using the general mode.

[0098] When the overall temperature rise exceeds the threshold X1, an emergency mode is activated to adjust the cooling equipment.

[0099] For more details, please refer to and combine with the above. Figure 1 and Figure 2 The description of that will not be repeated here.

[0100] In another aspect, the present invention provides a computer-readable storage medium storing a program or instructions that, when read and executed by a computer, cause the computer to perform actions such as Figure 3 or Figure 4 The method described. For more details, please refer to and combine with the foregoing discussion. Figure 3 and Figure 4 The description of that will not be repeated here.

[0101] Implementing this invention has the following beneficial effects:

[0102] This invention provides an intelligent management system, method, and storage medium for lithium batteries. By setting different temperature acquisition points to collect the temperature in the lithium battery, and setting different acquisition frequencies according to the environment of the temperature acquisition points, the temperature in the lithium battery can be accurately collected and monitored, and abnormalities in the lithium battery temperature can be detected in a timely manner.

[0103] By implementing this invention, information about different single-cell batteries can be detected and acquired, operational data of these batteries can be collected and calculated, the overall temperature rise around the batteries can be obtained, and the cooling equipment inside the lithium battery can be adjusted based on the overall temperature rise. This timely cuts off and cools the temperature inside the lithium battery, reducing the incidence of internal battery explosions. On the one hand, this improves the safety of lithium battery use; on the other hand, it enables the cooling device in the lithium battery to adapt to the ambient temperature inside the battery, thereby ensuring the optimal operating temperature range for the lithium battery and guaranteeing its performance.

[0104] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0105] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0106] The above description is merely a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. Therefore, any equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. An intelligent management system for lithium batteries, characterized in that, It includes an energy storage management module, and a battery monitoring module and a battery pack control module respectively connected to the energy storage management module, wherein: The energy storage management module includes a voltage detection unit, a current detection unit, a temperature acquisition unit, a power detection unit, and a status analysis unit, among which: The voltage detection unit is used to collect the voltage of the individual cells in the lithium battery and transmit it to the state analysis unit. The cells in the lithium battery are connected in series. The current detection unit is used to collect the current of the lithium battery and transmit it to the state analysis unit. The temperature acquisition unit is used to acquire the temperature in the lithium battery and transmit it to the state analysis unit. The power detection unit is used to acquire the power of a single battery cell during operation and transmit it to the status analysis unit. Battery operation includes discharge status and charging status. The status analysis unit is used to manage and analyze the collected data, identify individual cells with abnormal data as abnormal cells; if the temperature of an abnormal cell in the current cycle or the predicted temperature in the next cycle exceeds the threshold, an interval analysis signal is generated, and a battery warning signal is formed based on the interval analysis signal and the comprehensive temperature rise, and then transmitted to the battery monitoring module. The battery monitoring module is used to receive battery warning signals and generate audible and visual alarm information based on the battery warning signals. The battery pack control module is used to adjust the cooling equipment inside the lithium battery according to the overall temperature rise using the corresponding adjustment mode. The temperature acquisition unit sets the temperature acquisition points and acquires temperature data using the following method: First, a temperature detection point is set at the current output port of a single cell to obtain the gap area in the lithium battery. The gap area refers to the area enclosed by adjacent single cells. The closed gap area is marked as the first-level interval, and the unclosed gap area is marked as the second-level interval. The positions of the center points of the first-level interval and the second-level interval are obtained, and their center points are set as temperature acquisition points respectively. The acquisition frequency of the temperature acquisition point of the first-level interval is greater than that of the temperature acquisition point of the second-level interval. The state analysis unit further includes: The abnormal data identification unit is used to manage and analyze the collected data, compare the collected data with the operating range, mark the data within the operating range as normal data, and mark the data outside the operating range as abnormal data. Individual cells with abnormal data are marked as abnormal cells. The collected data includes current, voltage, temperature and charge. The operating range refers to the normal threshold range of the equipment. The temperature rise rate determination unit is used to acquire the collected data of the different single cell before a predetermined time threshold t1, subtract the amount of charge after time t1 from the amount of charge before time t1, and divide the difference by t1 to obtain the charge change rate. The charge change rate includes the charging rate and the discharging rate, and the sign in the charge change rate only indicates charging or discharging. A positive sign indicates that the different single cell is in a discharging state, and a negative sign indicates that the different single cell is in a charging state. And adopt We obtain the internal resistance r of the different single cell at this time, E is the electromotive force of the different single cell, Ua is the average voltage during time t1, and Ia is the average current during time t1. And based on the formula The rate of temperature change, Ws, is obtained, where Vd is the rate of change of charge, and r0 is the initial internal resistance of the single cell. The temperature of the single cell after time t1 is W2 minus the temperature before time t1. This is the influence coefficient; The interval analysis signal generation unit is used to compare the temperature change rate Ws with the threshold rate Wy. When Ws≤Wy, the temperature change rate Ws is multiplied by t1, and the result is added to W2 to obtain the predicted temperature after the next time t1. The predicted temperature is then compared with the operating range of the temperature. When the predicted temperature is within the operating range, it is marked as normal operation. When the predicted temperature is no longer within the operating range, an interval analysis signal is generated. When Ws>Wy, the interval analysis signal is generated directly, and the collected data of the first-level interval and the second-level interval involving the heterogeneous single cell are obtained respectively. The integrated temperature rise acquisition unit is used to calculate the spatial temperature rate of the primary and secondary spaces, which is the average temperature change over time t1; and based on... The overall temperature rise Zs is obtained, where K1 is the temperature rate of the primary space and K2 is the temperature rate of the secondary space. , and These are the weighting coefficients, Temperature rate influence factor; The battery warning signal acquisition unit is used to fuse the comprehensive temperature rise and interval analysis signals into a battery warning signal and transmit it to the battery monitoring module.

2. The system as described in claim 1, characterized in that, In the battery pack control module, the cooling device has two adjustment modes: normal mode and emergency mode. Among them, the general mode is the cooling method of lithium battery under normal operating conditions, which refers to the operating state where the comprehensive temperature rise is less than or equal to the threshold X1; Emergency mode is a cooling method for lithium batteries under abnormal operating conditions, referring to an operating state where the overall temperature rise exceeds a threshold X1.

3. A smart management method for lithium batteries, characterized in that, The method is implemented using the system described in any one of claims 1 to 2, and includes at least the following steps: Step S10: Collect the voltage, current, temperature, and power of individual cells in the lithium battery and transmit them to the status analysis unit. Step S11: The status analysis unit manages and analyzes the collected data and identifies individual cells with abnormal data as abnormal cells. If the temperature of a single cell in the current cycle or the predicted temperature in the next cycle exceeds the threshold, an interval analysis signal is generated. Based on the interval analysis signal and combined with the comprehensive temperature rise, a battery warning signal is formed and transmitted to the battery monitoring module. Step S12: The battery monitoring module receives the battery warning signal and generates audible and visual alarm information based on the battery warning signal. Step S13: The battery pack control module adjusts the cooling equipment inside the lithium battery according to the overall temperature rise using the corresponding adjustment mode. In step S10, the temperature of a single cell in the lithium battery is collected, specifically as follows: First, a temperature detection point is set at the current output port of a single cell to obtain the gap area in the lithium battery. The gap area refers to the area enclosed by adjacent single cells. The closed gap area is marked as the first-level interval, and the unclosed gap area is marked as the second-level interval. The positions of the center points of the first-level interval and the second-level interval are obtained, and their center points are set as temperature acquisition points respectively. The acquisition frequency of the temperature acquisition point of the first-level interval is greater than that of the temperature acquisition point of the second-level interval. Step S11 further includes: Step S110: Manage and analyze the collected data, compare the collected data with the operating range, mark the data within the operating range as normal data, and mark the data outside the operating range as abnormal data. The collected data includes current, voltage, temperature and power. The operating range refers to the normal threshold range of the equipment. Step S111: Mark the individual cells with abnormal data as abnormal cells, and obtain the collected data of the abnormal cells before the predetermined time threshold t1. Subtract the amount of charge after time t1 from the amount of charge before time t1, and divide the difference by t1 to obtain the rate of change of charge. The rate of change of charge includes the charging rate and the discharging rate. The sign in the rate of change of charge only indicates charging or discharging. A positive sign indicates that the abnormal cell is in a discharging state, and a negative sign indicates that the abnormal cell is in a charging state. use We obtain the internal resistance r of the different single cell at this time, E is the electromotive force of the different single cell, Ua is the average voltage during time t1, and Ia is the average current during time t1. Based on formula The rate of temperature change, Ws, is obtained, where Vd is the rate of change of charge, and r0 is the initial internal resistance of the single cell. The temperature of the single cell after time t1 is W2 minus the temperature before time t1. This is the influence coefficient; Step S112: Compare the temperature change rate Ws with the threshold rate Wy. When Ws≤Wy, multiply the temperature change rate Ws by t1 and add W2 to the result to obtain the predicted temperature after the next t1 time. Then compare the predicted temperature with the operating range of the temperature. When the predicted temperature is within the operating range, it is marked as normal operation. When the predicted temperature is no longer within the operating range, generate the range analysis signal. When Ws>Wy, directly generate the range analysis signal and obtain the collected data of the first-level range and the second-level range involving the heterogeneous single cell, respectively. Step S113: Calculate the temperature rate of the primary and secondary spaces. The temperature rate is the average value of the temperature change within time t1. based on The overall temperature rise Zs is obtained, where K1 is the temperature rate of the primary space and K2 is the temperature rate of the secondary space. , and These are the weighting coefficients, Temperature rate influence factor; In step S114, the comprehensive temperature rise and interval analysis signals are fused into a battery early warning signal and transmitted to the battery monitoring module.

4. The method as described in claim 3, characterized in that, In step S13, the battery pack control module adjusts the cooling equipment inside the lithium battery using a corresponding adjustment mode based on the overall temperature rise, including: In the battery pack control module, the cooling device has two adjustment modes: normal mode and emergency mode. When the overall temperature rise is less than or equal to the threshold X1, the cooling equipment is adjusted using the general mode. When the overall temperature rise exceeds the threshold X1, an emergency mode is activated to adjust the cooling equipment.

5. A computer-readable storage medium, characterized in that, The system stores a program or instructions that, when read and executed by a computer, cause the computer to perform the method as described in any one of claims 1-2.

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