Charging and discharging power distribution method for energy storage equipment

Abstract

The invention discloses a charging and discharging power distribution method for energy storage equipment. The method comprises the following steps: acquiring the health state of each battery in the energy storage equipment; determining a power distribution factor of each battery according to the health state of each battery; wherein the power distribution factor is used for representing a charge-discharge power ratio corresponding to the battery; and determining the charging and discharging power corresponding to each battery based on the power distribution factor of each battery and a preset total charging and discharging power. According to the technical scheme, the charging and discharging power can be dynamically distributed according to the health state in the charging and discharging process of the battery, so that the safety is improved, the service life is prolonged, and the performance is optimized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy storage and battery management, and particularly relates to a charging and discharging power distribution method of an energy storage device. BACKGROUND

[0002] With the rise of outdoor activities and the continuous increase of household emergency needs, portable energy storage devices have shown a rapid growth trend in market demand due to their core advantages of large capacity, high power, safety and portability. The battery management system (BMS) as the core control unit of the portable energy storage device directly determines the safety, cycle life and overall energy storage efficiency of the battery, and is the key to ensuring the reliable operation of the device.

[0003] The battery management system of the existing portable energy storage device mainly regulates the charging and discharging power of the battery pack based on real-time parameters such as the state of charge (SOC), voltage, current, temperature and the like of the battery, so as to realize basic charging and discharging control and safety protection functions.

[0004] However, the internal chemical properties of the battery will change irreversibly due to multiple factors such as material properties, use environment, and charging and discharging rate during long-term cycle charging and discharging. The traditional power distribution method not only has prominent safety risks, but also accelerates the attenuation of battery life and further exacerbates the performance imbalance of the battery pack. SUMMARY

[0005] The present application provides a charging and discharging power distribution method of an energy storage device, which enables the battery to dynamically distribute charging and discharging power according to the health state during the charging and discharging process, thereby improving safety, prolonging service life, and optimizing performance.

[0006] According to an aspect of the present application, a charging and discharging power distribution method of an energy storage device is provided, which comprises:

[0007] Obtaining the health state of each battery in the energy storage device;

[0008] Determining a power distribution factor of each battery according to the health state of each battery, wherein the power distribution factor is used to represent the proportion of the charging and discharging power corresponding to the battery;

[0009] Determining the charging and discharging power corresponding to each battery based on the power distribution factor of each battery and a preset total charging and discharging power.

[0010] According to another aspect of the present application, a charging and discharging power distribution device of an energy storage device is provided, which comprises:

[0011] a health state acquisition module configured to acquire health states of the batteries in the energy storage device;

[0012] a power allocation factor determination module configured to determine power allocation factors of the batteries according to the health states of the batteries, wherein the power allocation factors are used to represent proportions of charging and discharging power corresponding to the batteries;

[0013] a charging and discharging power determination module configured to determine the charging and discharging power corresponding to each of the batteries based on the power allocation factors of the batteries and a preset total charging and discharging power.

[0014] According to another aspect of the present application, an electronic device is provided, which comprises:

[0015] at least one processor; and a memory connected to the at least one processor in communication, wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the charging and discharging power allocation method of the energy storage device according to any one of the embodiments of the present application.

[0016] According to another aspect of the present application, a computer readable storage medium is provided, which stores computer instructions for enabling a processor to perform the charging and discharging power allocation method of the energy storage device according to any one of the embodiments of the present application when the computer instructions are executed by the processor.

[0017] According to another aspect of the present application, an energy storage device is provided, which comprises an energy storage device program, and the energy storage device program, when executed by a processor, implements the charging and discharging power allocation method of the energy storage device according to any one of the embodiments of the present application.

[0018] The technical solution of the embodiments of the present application acquires the health states of the batteries in the energy storage device, then determines the power allocation factors of the batteries according to the health states of the batteries, and determines the charging and discharging power corresponding to each of the batteries based on the power allocation factors of the batteries and a preset total charging and discharging power. This technical solution enables the batteries to dynamically allocate charging and discharging power according to the health states during the charging and discharging process, thereby improving safety, prolonging service life, and optimizing performance. This technical solution solves the problems of prominent safety risks, accelerated battery life decay, and further aggravated performance imbalance of the battery pack in the prior art.

[0019] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to make the technical solutions in the embodiments of the present application clearer, the accompanying drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the accompanying drawings in the following description only represent some of the embodiments of the present application, and should not be taken as the whole embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort should fall into the protection scope of the present application.

[0021] Figure 1 is a flow chart of a charging and discharging power distribution method of a storage energy device according to the first embodiment of the present application;

[0022] Figure 2 is a flow chart of another charging and discharging power distribution method of a storage energy device according to the second embodiment of the present application;

[0023] Figure 3 is a flow chart of still another charging and discharging power distribution method of a storage energy device according to the third embodiment of the present application;

[0024] Figure 4 is a schematic diagram of a charging and discharging power distribution process of a storage energy device according to the fourth embodiment of the present application;

[0025] Figure 5 is a schematic diagram of still another charging and discharging power distribution process of a storage energy device according to the fifth embodiment of the present application;

[0026] Figure 6 is a schematic diagram of another charging and discharging power distribution process of a storage energy device according to the sixth embodiment of the present application;

[0027] Figure 7 is a flow chart of a charging and discharging power distribution process of a storage energy device according to the sixth embodiment of the present application;

[0028] Figure 8 is a structural schematic diagram of a charging and discharging power distribution device of a storage energy device according to the seventh embodiment of the present application;

[0029] Figure 9 is a structural schematic diagram of an electronic device implementing a charging and discharging power distribution method of a storage energy device according to the embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to make the technical solutions in the embodiments of the present application clearer, the accompanying drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the accompanying drawings in the following description only represent some of the embodiments of the present application, and should not be taken as the whole embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort should fall into the protection scope of the present application.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and in the above drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0032] Embodiment one

[0033] Figure 1 It is a flowchart of a charging and discharging power distribution method of an energy storage device according to embodiment one of the present application. The present embodiment can be applied to the charging and discharging power distribution of an energy storage device. The method can be executed by a charging and discharging power distribution device of the energy storage device. The charging and discharging power distribution device of the energy storage device can be realized in the form of hardware and / or software. The charging and discharging power distribution device of the energy storage device can be configured in a device. For example, the device can be a background server or other device with communication and computing capabilities. As shown in the figure, the method comprises: Figure 1

[0034] S110, obtaining the health state of each battery in the energy storage device.

[0035] In the present embodiment, the energy storage device refers to a device that stores external electric energy in internal energy units in a high-efficiency manner through batteries, capacitor assemblies, etc., and outputs stable power through inverter, power management, etc. when needed. The device has high energy density, portability and multi-interface compatibility, and can provide reliable power support for camping, emergency rescue, mobile operation, field shooting and other scenes, and solve the temporary power supply demand in the environment without electricity or power failure.

[0036] In the present embodiment, the energy storage device is composed of a plurality of batteries.

[0037] In the present solution, the health state (SOH) is a core indicator for measuring the difference between the current performance of the battery and the original performance at the factory, reflecting the aging degree, capacity attenuation and remaining service life of the battery, and is usually expressed in percentage.

[0038] In the present embodiment, the health state of each battery in the energy storage device is obtained through a pre-configured sensor.

[0039] ​S120. Based on the health status of each battery, determine the power allocation factor of each battery; wherein the power allocation factor is used to characterize the charge and discharge power ratio of the battery.

[0040] In this embodiment, the power allocation factor is used to characterize the charge / discharge power ratio of the battery. The sum of the power allocation factors of all batteries is 1.

[0041] Specifically, the power allocation factor for each battery can be calculated based on the proportion of each battery's health status to the total health status of all batteries. For example, assuming an energy storage device consists of three batteries, the health status of battery 1... Health status of battery 2 Battery 3 health status Calculate the overall health status of all batteries: Then calculate the power allocation factor for battery 1. Power allocation factor of battery 2 Power distribution factor of battery 3 .

[0042] In this embodiment, based on the health status values ​​of each battery, a preset mapping function can be used to calculate the original factor corresponding to each battery, and the original factor corresponding to each battery can be normalized to obtain the power allocation factor of each battery. The mapping function uses the battery health status as the independent variable and the power allocation factor as the dependent variable, and supports various types such as linear functions, power functions, exponential functions, and constant functions.

[0043] For example, suppose the energy storage device consists of 3 batteries, and the health status of battery 1 is... Health status of battery 2 Battery 3 health status Mapping function The original factor corresponding to battery 1 was calculated. The original factor corresponding to battery 2 The original factor corresponding to battery 3 The original factors corresponding to each battery are normalized to obtain the power allocation factor for battery 1. Power allocation factor of battery 2 Power allocation factor of battery 3 .

[0044] In this scheme, a mapping function associated with the health status of each battery can be determined based on the numerical value of the health status. The mapping function is then used to calculate the original factor corresponding to each battery, and the original factor corresponding to each battery is normalized to obtain the power allocation factor of each battery. The mapping function uses the battery health status as the independent variable and the power allocation factor as the dependent variable, and supports various types such as linear functions, power functions, exponential functions, and constant functions.

[0045] Furthermore, assuming the energy storage device consists of three batteries, the health status of battery 1... Health status of battery 2 Battery 3 health status The mapping function associated with battery 1 The mapping function associated with battery 2 The mapping function associated with battery 3 Calculate the original factor corresponding to battery 1. The original factor corresponding to battery 2 The original factor corresponding to battery 3 The original factors corresponding to each battery are normalized to obtain the power allocation factor for battery 1. Power allocation factor of battery 2 Power allocation factor of battery 3 .

[0046] S130. Based on the power allocation factor of each battery and the preset total charge and discharge power, determine the charge and discharge power corresponding to each battery.

[0047] In this scheme, the power allocation factor of each battery is multiplied by the preset total charge and discharge power to obtain the charge and discharge power corresponding to each battery.

[0048] The technical solution of this invention obtains the health status of each battery in the energy storage device, then determines the power allocation factor of each battery based on its health status, and determines the corresponding charge / discharge power of each battery based on the power allocation factor and the preset total charge / discharge power. By implementing this technical solution, the battery can dynamically allocate charge / discharge power according to its health status during the charge / discharge process, thereby improving safety, extending service life, and optimizing performance.

[0049] Example 2

[0050] Figure 2 This is a flowchart of another charging and discharging power allocation method for an energy storage device provided in Embodiment 2 of the present invention. The relationship between this embodiment and the above embodiments is a detailed description of the power allocation factor determination process. Figure 2 As shown, the method includes:

[0051] S210: Obtain the health status of each battery in the energy storage device.

[0052] S220. Determine a mapping function associated with the health state; wherein the mapping function is used to establish a correspondence between the health state and the power allocation factor.

[0053] In this scheme, a mapping function associated with the health status can be determined based on the numerical range to which the health status belongs. For example, if the numerical range to which the health status belongs is a first range, the mapping function associated with the health status is a linear function; if the numerical range to which the health status belongs is a second range, the mapping function associated with the health status is a power function. The first range and the second range do not overlap.

[0054] In this embodiment, historical health status and historical charge / discharge power allocation factors can also be obtained. A fitting algorithm is then used to construct a mapping function associated with the health status based on these historical health status and charge / discharge power allocation factors. The fitting algorithm includes linear fitting, polynomial fitting, exponential fitting, or logarithmic fitting algorithms, etc.

[0055] Optionally, determining a mapping function associated with the health state includes:

[0056] Determine the numerical range to which the health status belongs;

[0057] Based on the correlation between the numerical range and the mapping function, the mapping function associated with the health status is determined; wherein, the correlation between the numerical range and the mapping function is a preset correspondence, and different numerical ranges correspond to different mapping functions or mapping functions of the same type with different parameters.

[0058] In this embodiment, the battery's health state is divided into at least two ranges. For example, the battery's health state is divided into a first range and a second range, where the lower limit of the first range is greater than the upper limit of the second range.

[0059] In this scheme, the relationship between numerical ranges and mapping functions is a pre-defined correspondence; different numerical ranges correspond to different mapping functions or mapping functions of the same type with different parameters. Mapping functions of the same type with different parameters include mapping functions with different coefficients, thresholds, or variable weights under the same function expression.

[0060] Specifically, based on the numerical range to which the health status belongs, a matching process is performed between preset numerical ranges and mapping functions to determine the mapping function associated with the health status. For example, if the numerical range to which the health status belongs is the first range, the mapping function associated with the health status is a linear function; if the numerical range to which the health status belongs is the second range, the mapping function associated with the health status is a power function.

[0061] By pre-setting the correspondence between different numerical ranges and mapping functions, the numerical range to which the health status belongs is clearly defined, and then the mapping function is accurately matched. This enables flexible adaptation and efficient determination of the mapping function, ensuring the relevance and accuracy of the association between the health status and the mapping function, and avoiding adaptation deviations caused by a single mapping logic.

[0062] Optionally, based on the correlation between the numerical range and the mapping function, the mapping function associated with the health state is determined, including:

[0063] When the numerical range is within the first range, the mapping function associated with the health state is determined to be a linear function;

[0064] When the numerical range is the second range, the mapping function associated with the health state is determined to be an exponential function;

[0065] When the numerical range is the third range, the mapping function associated with the health status is determined to be the first constant function;

[0066] When the numerical range is the fourth range, the mapping function associated with the health status is determined to be the second constant function;

[0067] Wherein, the lower limit of the first range is greater than the upper limit of the second range; the lower limit of the second range is greater than the upper limit of the third range; and the lower limit of the third range is greater than the upper limit of the fourth range.

[0068] The function value of the first constant function is greater than the function value of the second constant function.

[0069] Preferably, the battery health status is divided into a first range, a second range, a third range, and a fourth range, where the lower limit of the first range is greater than the upper limit of the second range; the lower limit of the second range is greater than the upper limit of the third range; and the lower limit of the third range is greater than the upper limit of the fourth range. For example, the first range is... The second range is The third range is The fourth range is .

[0070] The four ranges are as follows: First range: Battery performance is close to that of a new product, and a larger charging and discharging power can be allocated; Second range: Performance has degraded to a certain extent, and the charging and discharging power is reduced proportionally to avoid accelerated aging; Third range: Stricter power limits are implemented, and only a small amount of charging and discharging power is allocated, and it is prioritized for auxiliary work such as buffering and frequency modulation; Fourth range: It does not participate in high-power operation and is only used as a backup power source or directly withdrawn from operation.

[0071] In this embodiment, different functional relationships are used to map the health status to a power allocation factor based on different numerical ranges of the health status. When the health status value falls within the first range, the mapping function uses a linear function. When the numerical range of the health status is within the second range, the mapping function uses a power function ( When the health status value is in the third range, the mapping function uses the first constant function. When the health status value is in the fourth range, the mapping function uses the second constant function. ).

[0072] By setting different mapping functions, the power changes in different ranges can be made significantly different in scenarios where the health status declines, thus accurately reflecting the characteristic that the early decay has a small impact and the later decay has a large impact.

[0073] S230. Calculate the original factor of each battery based on the health state of each battery and the mapping function associated with the health state.

[0074] In this embodiment, based on the health status of each battery, the original factor of each battery is calculated by substituting it into the mapping function associated with the health status.

[0075] S240. Normalize the original factors of each battery to obtain the power allocation factor of each battery.

[0076] Specifically, by normalizing the original factors of each battery, the power allocation factor of the corresponding battery can be obtained.

[0077] S250. Based on the power allocation factor of each battery and the preset total charge / discharge power, determine the charge / discharge power corresponding to each battery.

[0078] The technical solution of this invention involves acquiring the health status of each battery in an energy storage device, then determining a mapping function associated with the health status; calculating the original factor of each battery based on its health status and the associated mapping function; normalizing the original factors of each battery to obtain a power allocation factor; and determining the corresponding charge / discharge power of each battery based on its power allocation factor and a preset total charge / discharge power. By implementing this technical solution, the charge / discharge power can be dynamically allocated according to the health status of each battery during the charge / discharge process, thereby improving overall safety, extending service life, and optimizing performance. In terms of the group balancing strategy, if the health status of a battery is significantly low, the system will actively reduce its power allocation and let the batteries with higher health status take on more load, so as to avoid the battery with low health status becoming a performance and safety bottleneck. At the same time, during long-term operation, the system will periodically allocate light power tasks to batteries with low health status, so as to keep them in a low-stress state and delay further degradation, thereby extending their lifespan. In terms of task allocation, the principle of giving priority to high-rate tasks such as peak shaving to batteries with high health status, and giving low-rate or standby tasks to batteries with low health status, is followed to ensure the rational use of resources.

[0079] Example 3

[0080] Figure 3 This is a flowchart illustrating another charging and discharging power allocation method for an energy storage device provided in Embodiment 3 of the present invention. The relationship between this embodiment and the above embodiments is a detailed description of the power allocation factor control process. Figure 3 As shown, the method includes:

[0081] S310: Obtain the health status of each battery in the energy storage device.

[0082] In this embodiment, the health status of each battery in the energy storage device is obtained through pre-configured sensors. The sampling frequency is set to 1Hz.

[0083] S320. Based on the health status of each battery, determine the power allocation factor of each battery; wherein the power allocation factor is used to characterize the charge / discharge power ratio of the battery.

[0084] Specifically, based on the health status of each battery Determine the power allocation factor for each battery. .

[0085] S330: Obtain the temperature and state of charge of each battery in the energy storage device.

[0086] Among them, the State of Charge (SOC) is the ratio of the battery's current remaining capacity to its total capacity when fully charged.

[0087] In this solution, the temperature of each battery in the energy storage device is acquired through pre-configured sensors. and state of charge The sampling frequency is set to 1Hz.

[0088] S340. Based on the temperature and / or state of charge of each battery, determine the regulation factor of each battery; wherein the regulation factor is used to regulate the power distribution factor.

[0089] Among them, regulatory factors Used for power allocation factor To implement regulation.

[0090] In this embodiment, the control factor of each battery can be calculated based on the temperature of each battery; the control factor of each battery can also be calculated based on the state of charge of each battery; and the control factor of each battery can also be calculated based on both the temperature and the state of charge of each battery.

[0091] Specifically, determine the temperature range to which each battery belongs and / or the state of charge range to which each battery belongs; and obtain the control factor corresponding to the temperature range and / or state of charge range from the preset mapping table.

[0092] Optionally, a control factor for each battery is determined based on the temperature and / or state of charge of each battery, including:

[0093] Based on the temperature range of each battery, a temperature factor corresponding to the temperature of each battery is determined; wherein, the temperature factor is used to characterize the degree of influence of the battery temperature on the power distribution factor;

[0094] Based on the state of charge range of each battery, a state of charge factor corresponding to the state of charge of each battery is determined; the state of charge factor is used to characterize the degree of influence of the battery's state of charge on the power allocation factor.

[0095] The regulation factor for each of the batteries is determined based on the temperature factor and / or the state of charge factor.

[0096] In this solution, excessively high or low battery temperatures can negatively impact battery lifespan. In such cases, the power distribution factor can be adjusted downwards by regulating the power distribution factor to mitigate the impact of extreme temperature conditions on battery lifespan.

[0097] Specifically, when the battery temperature is in the first temperature range, the temperature factor corresponding to that temperature is the first temperature factor; when the battery temperature is in the second temperature range, the temperature factor corresponding to that temperature is the second temperature factor. The first temperature range comprises two non-overlapping sub-ranges, located on opposite sides of the second temperature range: the lower limit of one sub-range is higher than the upper limit of the second temperature range, and the upper limit of the other sub-range is lower than the lower limit of the second temperature range. For example, if the first temperature factor is set to 0.5 and the second temperature factor is set to 1, the first temperature range (containing two sub-ranges) is: or The second temperature range is: .

[0098] In this embodiment, the power allocation factor decays when the battery's state of charge approaches a critical value. At this point, the power allocation factor can be lowered to mitigate the impact on battery life.

[0099] Furthermore, when the battery's state of charge (SOC) is in the first SOC interval, the corresponding SOC factor is the first SOC factor; when the battery's SOC is in the second SOC interval, the corresponding SOC factor is the second SOC factor. The first SOC interval comprises two non-overlapping sub-intervals, located on opposite sides of the second SOC interval: the lower limit of one sub-interval is higher than the upper limit of the second SOC interval, and the upper limit of the other sub-interval is lower than the lower limit of the second SOC interval. For example, if the first SOC factor is set to 0.8 and the second SOC factor is set to 1, the first SOC interval (containing two sub-intervals) is: or The second state-of-charge interval is: .

[0100] In this embodiment, the temperature factor is determined as the battery control factor; or, the state of charge factor is determined as the battery control factor; or, the product of the temperature factor and the state of charge factor is determined as the battery control factor.

[0101] By precisely linking the influence logic of battery temperature, state of charge (SOC), and power distribution, the system first clarifies the temperature factor based on the temperature range and determines the SOC factor by combining the SOC range. Then, through the flexible fusion of the two, the final control factor is determined. This not only achieves a quantitative characterization of the degree to which the core operating parameters of the battery (temperature and SOC) affect power distribution, but also allows for flexible adaptation to control requirements based on actual scenarios. This effectively ensures the pertinence and accuracy of the power distribution factor calculation, thereby providing scientific and reliable parameter support for the balanced power distribution, safe and stable operation, and extended lifespan of the battery system.

[0102] S350. Multiply the regulation factor of each battery by the power allocation factor of each battery to obtain the regulated power allocation factor of each battery.

[0103] Specifically, the regulation factor of each battery is multiplied by the power allocation factor of the corresponding battery to obtain the power allocation factor of each battery after regulation.

[0104] In this embodiment, the adjusted power allocation factor The regulated power allocation factor is normalized to obtain... .

[0105] S360. Based on the power allocation factor of each battery and the preset total charge and discharge power, determine the charge and discharge power corresponding to each battery.

[0106] Specifically, the power allocation factor of each battery is multiplied by the preset total charge / discharge power to obtain the charge / discharge power corresponding to each battery. Where Ptotal represents the total charging and discharging power.

[0107] Furthermore, after allocating the charging and discharging power to each battery, control commands are sent to the power electronics (PCS (Power Conversion System, energy storage converter) / inverter / DC-DC converter) of each battery, while simultaneously recording logs (timestamps, etc.). 、T、SOC).

[0108] In this embodiment, the sensor data collected on the health status of each battery in the energy storage device are dynamically updated using a sliding window low-pass filter (time constant 1-24 hours); for control commands, a short time window design of 5-30 seconds is adopted to avoid frequent fluctuations in the system.

[0109] The technical solution of this invention obtains the health status of each battery in the energy storage device, then determines the power allocation factor of each battery based on its health status, and determines the regulation factor of each battery based on its temperature and / or state of charge. The regulation factor of each battery is multiplied by its power allocation factor to obtain the regulated power allocation factor of each battery. Based on the regulated power allocation factor and the preset total charge / discharge power, the corresponding charge / discharge power of each battery is determined. By implementing this technical solution, the charge / discharge power is dynamically allocated based on the battery's health status during charging and discharging, while simultaneously incorporating key parameters such as temperature and state of charge for coordinated regulation. This improves operational safety, extends service life, and optimizes performance.

[0110] Example 4

[0111] Figure 4 This is a schematic diagram illustrating the charging and discharging power distribution process of an energy storage device according to Embodiment 4 of the present invention. The relationship between this embodiment and the above embodiments is a detailed description of the charging and discharging power distribution process. Figure 4 As shown, the method includes:

[0112] S410: Obtain the health status of each battery in the energy storage device.

[0113] S420. Based on the health status of each battery, determine the power allocation factor of each battery; wherein the power allocation factor is used to characterize the charge / discharge power ratio of the battery.

[0114] S430. For each battery in the energy storage device, multiply the power allocation factor of the battery by the preset total charge and discharge power to obtain the initial power corresponding to the battery.

[0115] Specifically, the battery's power allocation factor is multiplied by the preset total charge and discharge power to obtain the battery's initial power.

[0116] For example, suppose the energy storage device consists of 4 batteries, and the health status of battery 1 is... Health status of battery 2 Battery 3 health status Battery 4 health status .

[0117] Calculate the original factor of battery 1 The original factor of battery 2 The original factor of battery 3 The original factor of battery 4 .

[0118] .

[0119] The original factors of each battery are normalized to obtain the power allocation factor of battery 1. Power allocation factor of battery 2 Power allocation factor of battery 3 Power allocation factor of battery 4 .

[0120] Multiply the battery's power allocation factor by the preset total charge / discharge power to obtain the initial power corresponding to battery 1. The initial power corresponding to battery 2 The initial power corresponding to battery 3 The initial power corresponding to battery 4 .

[0121] S440. If the initial power corresponding to the first battery is greater than the maximum allowable power, then the maximum allowable power is determined as the charging and discharging power corresponding to the first battery; wherein, the first battery is any one or more batteries in the energy storage device.

[0122] In this embodiment, the maximum allowable power refers to the maximum power that the battery can continuously withstand under the premise of safe operation, stable performance, and lifespan. Exceeding this value may lead to overheating, damage, malfunction, or even safety risks.

[0123] The first battery can be any one or more batteries in the energy storage device. For example, the first battery can be battery 1, battery 3, etc.

[0124] In this solution, when the initial power of the battery exceeds the maximum allowable power, the power is cut off and adjusted to the maximum allowable power as the upper limit, which can prevent the battery from being damaged due to overload and ensure the safety and stability of use.

[0125] Specifically, if the initial power of the first battery exceeds its maximum allowable power, then the maximum allowable power is set as the charging and discharging power of the first battery. For example, if the maximum allowable power of battery 3 is 5KW, and the initial power of battery 3 is 5.6417KW, and the initial power exceeds its maximum allowable power, then the charging and discharging power of battery 3 is set to... .

[0126] Optionally, determining the maximum allowable power includes:

[0127] Obtain the rated power of each battery in the energy storage device;

[0128] Based on the health status of each battery, a health status change coefficient is determined for each battery; wherein the health status change coefficient is positively correlated with the health status.

[0129] The maximum permissible power of each battery is obtained by multiplying the rated power of each battery by the health status variation coefficient of each battery.

[0130] In this embodiment, the rated power of each battery in the energy storage device It has been pre-set.

[0131] In this approach, a decline in battery health essentially stems from a degradation in its internal performance (such as increased internal resistance and loss of active materials). By adjusting the battery's maximum permissible power through a health status change coefficient, damage to the battery due to overload can be effectively prevented.

[0132] Specifically, based on the health status values ​​of each battery, the health status change coefficient of each battery is calculated according to the following formula. :

[0133] ;

[0134] Furthermore, by multiplying the rated power of each battery by its health status variation coefficient, the maximum allowable power of each battery can be obtained. The calculation formula is as follows:

[0135] ;

[0136] in, This represents the maximum allowable power of each battery. Battery serial number, The rated power of each battery. This represents the coefficient for the change in the health status of each battery.

[0137] By combining the rated power of each battery in the energy storage device with the health status change coefficient, which is positively correlated with the health status, the maximum allowable power of each battery can be dynamically determined by accurately matching its actual health level. This fully considers the basic performance boundary of the battery's rated power and effectively adapts to the actual capacity of the battery after degradation through the health status change coefficient. This avoids the problem of overload operation of batteries with poor health status or idle performance of batteries with good health status under a uniform power standard. In this way, the safety and stability of the energy storage device are guaranteed, while maximizing the available performance of each battery and improving the overall operating efficiency and service life of the energy storage device.

[0138] S450. Based on the difference between the initial power and the maximum allowable power corresponding to the first battery, the initial power corresponding to the second battery is adjusted to obtain the charge / discharge power corresponding to the second battery; wherein, the second battery is the other batteries in the energy storage device besides the first battery.

[0139] In this scheme, the initial power corresponding to the first battery is subtracted from the maximum allowable power to obtain the difference between the initial power and the maximum allowable power of the first battery. For example, if the maximum allowable power of battery 3 is 5KW, the initial power corresponding to battery 3 is 5.6417KW, and the difference between the initial power and the maximum allowable power of battery 3 is 0.6417kW.

[0140] Furthermore, the difference between the initial power and the maximum allowable power of the first battery is redistributed to the second battery. Specifically, the difference is allocated to the second battery according to its power allocation factor. For example, 0.6417kW is redistributed to batteries 1 and 2 according to their respective power allocation factors. Ultimately, the charging and discharging power corresponding to battery 1 is... The charging and discharging power corresponding to battery 2 .

[0141] The technical solution of this invention first obtains the health status of each battery in the energy storage device, determines the power allocation factor of each battery, and then multiplies the power allocation factor of each battery by a preset total charge / discharge power to obtain the initial power corresponding to each battery. If the initial power of a battery is greater than its maximum allowable power, the maximum allowable power is determined as the charge / discharge power of that battery. Based on the difference between the initial power of that battery and the maximum allowable power, the initial power of the remaining batteries in the energy storage device is adjusted to finally obtain the charge / discharge power of the remaining batteries. By implementing this technical solution, the performance differences of batteries in different health states can be fully adapted, avoiding accelerated losses of batteries in poor health due to overload operation, ensuring the safe and stable operation of each battery, and ensuring that the total charge / discharge power of the energy storage device accurately meets the standard, effectively improving the overall operating efficiency, reliability, and service life of the energy storage system.

[0142] Example 5

[0143] Figure 5 This is a schematic diagram illustrating the charging and discharging power distribution process of another energy storage device provided in Embodiment 5 of the present invention. The relationship between this embodiment and the above embodiments is a detailed description of the charging and discharging power distribution process. Figure 5 As shown, the method includes:

[0144] S510: Obtain the health status of each battery in the energy storage device;

[0145] S520. Based on the health status of each battery, determine the power allocation factor of each battery; wherein, the power allocation factor is used to characterize the charge / discharge power ratio of the battery.

[0146] S530. For each battery in the energy storage device, multiply the power allocation factor of the battery by the preset total charge and discharge power to obtain the initial power corresponding to the battery.

[0147] Specifically, the battery's power allocation factor is multiplied by the preset total charge and discharge power to obtain the battery's initial power.

[0148] S540. If the initial power corresponding to the third battery is less than the preset minimum allowable power, then the charging and discharging power corresponding to the third battery is set to 0; wherein, the third battery is any one or more batteries in the energy storage device.

[0149] Among them, the minimum allowable power of each battery in the energy storage device It has been pre-set.

[0150] In this embodiment, the minimum allowable power refers to the lowest power threshold that the battery can continuously output under the premise of safe and stable operation. If the power is lower than this value, the battery may not be able to supply power normally, its performance will degrade faster, or there may be safety risks.

[0151] The third battery can be any one or more batteries in the energy storage device.

[0152] In this scheme, if the initial power of the third battery is less than the preset minimum allowable power, the charging and discharging power of the third battery is set to 0.

[0153] S550. Using the initial power corresponding to the third battery, the initial power corresponding to the fourth battery is adjusted to obtain the charging and discharging power corresponding to the fourth battery; wherein, the fourth battery is the other batteries in the energy storage device besides the third battery.

[0154] Furthermore, the initial power corresponding to the third battery is redistributed to the fourth battery. Specifically, the initial power of the third battery is first calculated based on the power allocation factor of the fourth battery, and then the allocation result is added to the initial power of the fourth battery to finally obtain the charging and discharging power corresponding to the fourth battery.

[0155] The technical solution of this invention obtains the health status of each battery in the energy storage device, determines the power allocation factor of each battery, and then multiplies the power allocation factor of each battery by the preset total charge and discharge power to obtain the initial power corresponding to each battery. If the initial power of the third battery is less than the preset minimum allowable power, the charge and discharge power of the third battery is set to 0, and the initial power of the fourth battery in the energy storage device is adjusted using the initial power of the third battery to finally obtain the charge and discharge power corresponding to the fourth battery. By implementing this technical solution, the charge and discharge power of the battery can be dynamically allocated according to its health status during the charge and discharge process, thereby improving safety, extending service life, and optimizing performance. It avoids problems such as efficiency loss and lifespan degradation that may be caused by the battery operating in the low power range, ensuring the safety and reliability of battery operation. It also ensures the accurate implementation of the preset total charge and discharge power through power redistribution, realizing the reasonable allocation of power among the effective operating batteries in the energy storage device, and improving the operating efficiency and power output stability of the entire energy storage device.

[0156] Example 6

[0157] Figure 6 This is a schematic diagram illustrating the charging and discharging power allocation process of another energy storage device provided in Embodiment Six of the present invention. The relationship between this embodiment and the above embodiments is a detailed description of the power allocation factor determination process. Figure 6 As shown, the method includes:

[0158] S610. In the current allocation stage, if the health status of the fifth battery is not obtained, the power allocation factor of the fifth battery in the previous allocation stage is obtained; wherein, the previous allocation stage is the previous charge / discharge power allocation stage adjacent to the current allocation stage; the fifth battery is any one or more batteries in the energy storage device.

[0159] In this scheme, if the health status of the fifth battery is not obtained due to sensor failure during the current allocation phase, the power allocation factor corresponding to the previous allocation phase will be used.

[0160] The fifth battery can be any one or more batteries in the energy storage device.

[0161] In this embodiment, the previous allocation stage is the previous charge / discharge power allocation stage adjacent to the current allocation stage.

[0162] S620. Based on the power allocation factor, preset confidence factor and total charge / discharge power of the fifth battery in the previous allocation stage, determine the charge / discharge power corresponding to the fifth battery in the current allocation stage; wherein, the confidence factor is used to adjust the power allocation factor of the fifth battery in the previous allocation stage.

[0163] In this scheme, the confidence factor This is used to regulate the power allocation factor of the fifth battery in the previous allocation stage. By dynamically adjusting the power allocation factor of the fifth battery determined in the previous allocation stage using a confidence factor, various problems caused by the degradation of battery health status in different allocation stages can be effectively avoided.

[0164] Specifically, the power allocation factor and confidence factor of the fifth battery in the previous allocation stage are multiplied together to obtain the adjusted power allocation factor of the fifth battery. Then, the adjusted power allocation factor of the fifth battery is multiplied by the total charge and discharge power to obtain the charge and discharge power of the fifth battery in the current allocation stage.

[0165] In this embodiment, if the health status of the fifth battery is not acquired for a period exceeding a preset threshold, the battery is determined to be offline, and its corresponding power is allocated to the remaining batteries. The preset threshold is set based on the charging and discharging power allocation requirements; for example, it may be set to 60 seconds.

[0166] Furthermore, in the current allocation phase, if the temperature and state of charge of the fifth battery are not obtained due to sensor failure, the temperature factor and state of charge factor corresponding to the previous allocation phase will be used.

[0167] If the temperature and state of charge of the fifth battery are not acquired for a period exceeding a preset threshold, the battery is determined to be offline, and its corresponding power is allocated to the remaining batteries. The preset threshold is set according to the charging and discharging power allocation requirements; for example, the preset threshold may be set to 60 seconds.

[0168] In this embodiment, when the total available power of the energy storage device cannot meet the current power demand, it can be adjusted by reducing the power demand or starting an external backup power system. The following control strategy is executed first according to the safety priority of the state of charge: First, a load degradation notification is triggered, and non-core power is reduced according to a preset priority to reduce the total power demand; if the power demand still cannot be met after load degradation, an external backup power supply is started to ensure the continuous operation of the core load and avoid the risk of system shutdown due to insufficient power.

[0169] In this solution, a watchdog timer and heartbeat mechanism are configured: if the power controller fails to respond normally according to the control command, the system must immediately trigger the safety mode, reduce its power to the minimum safety threshold or directly disconnect the battery.

[0170] The technical solution of this invention addresses the issue where, during the current power allocation phase, if the health status of the fifth battery in the energy storage device is not obtained, the power allocation factor of that fifth battery in the previous allocation phase adjacent to the current phase is acquired. Based on the power allocation factor of the previous phase, a preset confidence factor, and the total power allocation, the power allocation corresponding to the fifth battery in the current phase is determined. By implementing this solution, the allocation stagnation problem caused by missing health status is effectively avoided, ensuring the continuity and stability of the charging and discharging process. Furthermore, the confidence factor's adjustment reduces the impact of historical data deviations on the current allocation, improving the rationality and reliability of power allocation, thereby contributing to the improvement of the overall charging and discharging efficiency and operational safety of the energy storage device.

[0171] In this plan, Figure 7 A flowchart of the charging and discharging power distribution process of the energy storage device provided in Embodiment Six of this application is shown below. Figure 7 As shown, the SOH, T, and SOC of each battery in the energy storage device are obtained; the SOH is divided into a first range, a second range, a third range, and a fourth range; select... ; Calculate the power allocation factor ; Power allocation factor Normalization is performed; the allocation scheme is verified in conjunction with the maximum and minimum allowable power constraints of the energy storage system; if the scheme meets the constraints, it is directly issued for execution; if not, it returns to the power allocation factor calculation stage for iterative optimization until the constraints are met before execution.

[0172] Multiple optimizations are achieved through refined power allocation and task scheduling: In response to differences in battery health status within the group, the system will proactively reduce the power load of batteries with significantly lower health status, and instead assign more power output to batteries with higher health status, effectively avoiding performance bottlenecks; During long-term operation, it will also periodically assign light-power tasks to batteries with low health status, keeping them in a low-stress state to delay degradation, while allowing batteries with high health status to take priority on high-rate tasks such as peak shaving, while batteries with low health status will take on low-rate or standby tasks, forming a division of labor and cooperation mode for tiered power consumption.

[0173] This strategy breaks through the limitations of traditional simple proportional allocation and uses differentiated functions to achieve nonlinear power allocation for batteries in different health states. Based on the core health state indicators, it integrates multiple key factors such as temperature and state of charge to ensure the safety of energy storage devices. At the same time, it takes into account the future degradation trend of batteries and uses an adaptive life management mechanism to ensure optimal current operating efficiency and effectively extend the overall lifespan of the battery pack.

[0174] Example 7

[0175] Figure 8 This is a schematic diagram of the charging and discharging power distribution device for an energy storage device provided in Embodiment 7 of the present invention. Figure 8 As shown, the device includes:

[0176] The health status acquisition module 810 is used to acquire the health status of each battery in the energy storage device.

[0177] The power allocation factor determination module 820 is used to determine the power allocation factor of each battery based on the health status of each battery; wherein the power allocation factor is used to characterize the charge and discharge power ratio of the battery.

[0178] The charge / discharge power determination module 830 is used to determine the charge / discharge power corresponding to each battery based on the power allocation factor of each battery and the preset total charge / discharge power.

[0179] Optionally, the power allocation factor determination module 820 includes:

[0180] A mapping function determination submodule is used to determine a mapping function associated with the health state; wherein, the mapping function is used to establish a correspondence between the health state and the power allocation factor;

[0181] The original factor calculation submodule is used to calculate the original factor of each battery based on the health state of each battery and the mapping function associated with the health state;

[0182] The power allocation factor acquisition submodule is used to normalize the original factors of each battery to obtain the power allocation factor of each battery.

[0183] Optionally, the mapping function determines the submodules, including:

[0184] A numerical range determination unit is used to determine the numerical range to which the health status belongs;

[0185] The mapping function determination unit is used to determine the mapping function associated with the health state based on the correlation between the numerical range and the mapping function; wherein the correlation between the numerical range and the mapping function is a preset correspondence, and different numerical ranges correspond to different mapping functions or mapping functions of the same type with different parameters.

[0186] Optionally, the mapping function determines the unit, specifically used for:

[0187] When the numerical range is within the first range, the mapping function associated with the health state is determined to be a linear function;

[0188] When the numerical range is the second range, the mapping function associated with the health state is determined to be an exponential function;

[0189] When the numerical range is the third range, the mapping function associated with the health status is determined to be the first constant function;

[0190] When the numerical range is the fourth range, the mapping function associated with the health status is determined to be the second constant function;

[0191] Wherein, the lower limit of the first range is greater than the upper limit of the second range; the lower limit of the second range is greater than the upper limit of the third range; and the lower limit of the third range is greater than the upper limit of the fourth range.

[0192] The function value of the first constant function is greater than the function value of the second constant function.

[0193] Optionally, the device further includes:

[0194] A temperature and state of charge acquisition module is used to acquire the temperature and state of charge of each battery in the energy storage device.

[0195] A regulation factor determination module is used to determine a regulation factor for each battery based on the temperature and / or state of charge of each battery; wherein the regulation factor is used to regulate the power distribution factor;

[0196] A power allocation factor control module is used to multiply the control factor of each battery with the power allocation factor of each battery to obtain the controlled power allocation factor of each battery.

[0197] Optional, the regulatory factor determination module is specifically used for:

[0198] Based on the temperature range of each battery, a temperature factor corresponding to the temperature of each battery is determined; wherein, the temperature factor is used to characterize the degree of influence of the battery temperature on the power distribution factor;

[0199] Based on the state of charge range of each battery, a state of charge factor corresponding to the state of charge of each battery is determined; the state of charge factor is used to characterize the degree of influence of the battery's state of charge on the power allocation factor.

[0200] The regulation factor for each of the batteries is determined based on the temperature factor and / or the state of charge factor.

[0201] Optional, the charge / discharge power determination module 830 is specifically used for:

[0202] For each battery in the energy storage device, the power allocation factor of the battery is multiplied by the preset total charge and discharge power to obtain the initial power of the battery.

[0203] If the initial power corresponding to the first battery is greater than the maximum allowable power, then the maximum allowable power is determined as the charge / discharge power corresponding to the first battery; wherein, the first battery is any one or more batteries in the energy storage device;

[0204] Based on the difference between the initial power and the maximum allowable power of the first battery, the initial power of the second battery is adjusted to obtain the charge / discharge power of the second battery; wherein, the second battery is any battery in the energy storage device other than the first battery.

[0205] Optionally, the charge / discharge power determination module 830 is also used for:

[0206] Obtain the rated power of each battery in the energy storage device;

[0207] Based on the health status of each battery, a health status change coefficient is determined for each battery; wherein the health status change coefficient is positively correlated with the health status.

[0208] The maximum permissible power of each battery is obtained by multiplying the rated power of each battery by the health status variation coefficient of each battery.

[0209] Optionally, the charge / discharge power determination module 830 is also used for:

[0210] For each battery in the energy storage device, the power allocation factor of the battery is multiplied by the preset total charge and discharge power to obtain the initial power of the battery.

[0211] If the initial power corresponding to the third battery is less than the preset minimum allowable power, then the charging and discharging power corresponding to the third battery is set to 0; wherein, the third battery is any one or more batteries in the energy storage device;

[0212] Using the initial power corresponding to the third battery, the initial power corresponding to the fourth battery is adjusted to obtain the charge / discharge power corresponding to the fourth battery; wherein, the fourth battery is any battery other than the third battery in the energy storage device.

[0213] Optionally, the device further includes:

[0214] The power allocation factor acquisition module is used to acquire the power allocation factor of the fifth battery in the previous allocation stage if the health status of the fifth battery is not acquired in the current allocation stage; wherein, the previous allocation stage is the previous charge and discharge power allocation stage adjacent to the current allocation stage; and the fifth battery is any one or more batteries in the energy storage device.

[0215] The charge / discharge power calculation module is used to determine the charge / discharge power corresponding to the fifth battery in the current allocation stage based on the power allocation factor, the preset confidence factor, and the total charge / discharge power of the fifth battery in the previous allocation stage; wherein, the confidence factor is used to adjust the power allocation factor of the fifth battery in the previous allocation stage.

[0216] The charging and discharging power distribution device for an energy storage device provided in this embodiment of the invention can execute the charging and discharging power distribution method for an energy storage device provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the method.

[0217] Example 8

[0218] Figure 9A schematic diagram of an electronic device 10, which can be used to implement embodiments of the present invention, is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0219] like Figure 9 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0220] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0221] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as a charging and discharging power distribution method for an energy storage device.

[0222] In some embodiments, a charge / discharge power allocation method for an energy storage device may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded into and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the charge / discharge power allocation method for an energy storage device described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform a charge / discharge power allocation method for an energy storage device by any other suitable means (e.g., by means of firmware).

[0223] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transferring data and instructions to the storage system, the at least one input device, and the at least one output device.

[0224] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0225] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0226] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0227] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0228] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0229] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include an energy storage device comprising energy storage device program code for performing the methods shown in the flowcharts. In such embodiments, the energy storage device program can be downloaded and installed from a network via communication unit 19, or installed from storage unit 18, or installed from ROM 12. When the energy storage device program is executed by processor 11, it performs the functions defined above in the methods of the embodiments of the present invention.

[0230] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0231] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A charge-discharge power distribution method for an energy storage device, characterized by, The method comprises: obtaining the health states of the batteries in the energy storage device; determining power distribution factors of the batteries according to the health states of the batteries, wherein the power distribution factors are used to represent the proportion of the charging and discharging power of the batteries; determining the charging and discharging power of each battery based on the power distribution factors of the batteries and a preset total charging and discharging power.

2. The method of claim 1, wherein, The method comprises: determining a mapping function associated with the health state, wherein the mapping function is used to establish a corresponding relationship between the health state and the power distribution factor; calculating the original factor of each battery according to the health state of each battery and the mapping function associated with the health state; normalizing the original factor of each battery to obtain the power distribution factor of each battery.

3. The method of claim 2, wherein, The method comprises: determining a numerical range to which the health state belongs; determining the mapping function associated with the health state according to the association relationship between the numerical range and the mapping function, wherein the association relationship between the numerical range and the mapping function is a preset corresponding relationship, and different numerical ranges correspond to different mapping functions or the same type of mapping function with different parameters.

4. The method of claim 3, wherein, The method comprises: when the numerical range is a first range, determining that the mapping function associated with the health state is a linear function; when the numerical range is a second range, determining that the mapping function associated with the health state is a power function; when the numerical range is a third range, determining that the mapping function associated with the health state is a first constant function; when the numerical range is a fourth range, determining that the mapping function associated with the health state is a second constant function; wherein the lower limit of the first range is greater than the upper limit of the second range; the lower limit of the second range is greater than the upper limit of the third range; the lower limit of the third range is greater than the upper limit of the fourth range; the function value of the first constant function is greater than the function value of the second constant function.

5. The method of claim 1, wherein, After determining the power distribution factors of the batteries according to the health states of the batteries, the method further comprises: obtaining the temperature and state of charge of each battery in the energy storage device; determining a control factor of each battery according to the temperature and / or state of charge of each battery, wherein the control factor is used to control the power distribution factor; multiplying the control factor of each battery and the power distribution factor of each battery to obtain the controlled power distribution factor of each battery.

6. The method of claim 5, wherein, The method comprises: determining a mapping function associated with the health state, wherein the mapping function is used to establish a corresponding relationship between the health state and the power distribution factor; calculating the original factor of each battery according to the health state of each battery and the mapping function associated with the health state; normalizing the original factor of each battery to obtain the power distribution factor of each battery. determining a temperature factor corresponding to the temperature of each battery according to a temperature interval in which the temperature of each battery is located; wherein the temperature factor is used to represent the influence degree of the battery temperature on the power distribution factor; determining a state of charge factor corresponding to the state of charge of each battery based on a state of charge interval in which the state of charge of each battery is located; wherein the state of charge factor is used to represent the influence degree of the battery state of charge on the power distribution factor; determining the regulation factor of each battery according to the temperature factor and / or the state of charge factor.

7. The method of claim 1, wherein, determining the charging and discharging power corresponding to each battery based on the power distribution factor of each battery and a preset total charging and discharging power, comprising: multiplying the power distribution factor of each battery in the energy storage device and the preset total charging and discharging power to obtain the initial power corresponding to the battery; if the initial power corresponding to the first battery is greater than the maximum allowable power, determining the maximum allowable power as the charging and discharging power corresponding to the first battery; wherein the first battery is any one or more batteries in the energy storage device; adjusting the initial power corresponding to the second battery according to the difference between the initial power corresponding to the first battery and the maximum allowable power to obtain the charging and discharging power corresponding to the second battery; wherein the second battery is the remaining battery in the energy storage device except the first battery.

8. The method of claim 7, wherein, The determination of the maximum allowable power comprises: obtaining the rated power of each battery in the energy storage device; determining a health state change coefficient of each battery according to the health state of each battery; wherein the health state change coefficient is positively correlated with the health state; multiplying the rated power of each battery and the health state change coefficient of each battery to obtain the maximum allowable power of each battery.

9. The method of claim 1, wherein, determining the charging and discharging power corresponding to each battery based on the power distribution factor of each battery and a preset total charging and discharging power, further comprising: multiplying the power distribution factor of each battery in the energy storage device and the preset total charging and discharging power to obtain the initial power corresponding to the battery; if the initial power corresponding to the third battery is less than the preset minimum allowable power, setting the charging and discharging power corresponding to the third battery to 0; wherein the third battery is any one or more batteries in the energy storage device; adjusting the initial power corresponding to the fourth battery using the initial power corresponding to the third battery to obtain the charging and discharging power corresponding to the fourth battery; wherein the fourth battery is the remaining battery in the energy storage device except the third battery.

10. The method of claim 1, wherein, The method further comprises: if the health state of the fifth battery is not obtained in the current allocation stage, obtaining the power distribution factor of the fifth battery in the previous allocation stage; wherein the previous allocation stage is the previous charging and discharging power allocation stage adjacent to the current allocation stage; and the fifth battery is any one or more batteries in the energy storage device. Determine the charging and discharging power of the fifth battery in the current allocation stage according to the power allocation factor of the fifth battery in the last allocation stage, a preset confidence factor and the total charging and discharging power; wherein the confidence factor is used to regulate the power allocation factor of the fifth battery in the last allocation stage.

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