A battery power control system and method for mining locomotive

Abstract

The present application discloses a battery power control system and method for a mining locomotive, which relates to the field of battery power control technology and solves the technical problem that the existing battery balancing method adopts static battery power balancing, which is inefficient when applied to large-capacity and high-power battery usage. The method comprises: obtaining usage data of each battery pack, analyzing the battery pack based on the usage data to obtain an aging score for evaluating the aging of the battery pack; adjusting the charge and discharge interval of the battery pack based on the aging score to obtain the current charge and discharge interval; when the operating state is static, generating an balancing control scheme for balancing the power between each battery pack based on the remaining power and the charge and discharge interval; when the operating state is running, obtaining the required voltage required by the motor, and generating an output control scheme for controlling the output of each battery pack based on the required voltage and the remaining power; and extending the life of the entire power supply part.

Description

Technical Field

[0001] The present application belongs to the field of battery power control technology, and specifically relates to a battery power control system and method for mining locomotives. Background Art

[0002] An existing invention patent (Patent No. CN 110654268 B) discloses a balanced charging circuit and control management method for ultra-high-power batteries used in locomotives. This charging circuit connects individual batteries in parallel and then in series to form a battery pack. Multiple battery packs are connected in series to form a power supply branch. Each branch is connected to the intermediate DC circuit via an anti-parallel diode of an IGBT to supply power to the load. Multiple branches share a pre-charge resistor to charge the intermediate DC circuit capacitor. The charging control management method involves controlling each branch through an independent IGBT during charging, independently controlling the charging current in each branch to ensure consistent battery state of charge (SOC) and balanced voltage across each branch.

[0003] The above-mentioned battery voltage balancing control method determines whether the voltage difference between each battery group is greater than a set voltage threshold, and then determines whether the power of each battery group needs to be balanced, so that the voltage difference between each battery group is reduced; the battery power supply scheme selected by the vehicle during operation is the main reason for the large voltage difference between each battery group. Balancing the power between the battery groups is difficult to achieve during vehicle operation, which reduces the efficiency of the battery group voltage balancing method; especially in the case of large-capacity and high-power batteries such as mining locomotives, the efficiency is low; therefore, a battery power control system and method for mining locomotives are needed. Summary of the Invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art; to this end, the present application proposes a battery power control system and method for mining locomotives, which is used to solve the technical problem that the existing battery balancing method uses static battery power balancing, which is inefficient when used for large-capacity and high-power batteries.

[0005] To achieve the above objectives, the first aspect of the present application provides a battery power control method for a mining locomotive, comprising the following steps:

[0006] Get usage data of each battery pack,

[0007] Analyzing the battery pack based on usage data to obtain an aging score for evaluating the aging condition of the battery pack;

[0008] Adjust the charge and discharge interval of the battery pack based on the aging score to obtain the current charge and discharge interval;

[0009] Obtain the operating status of the mining locomotive and the remaining power of each battery pack;

[0010] When the operating state is stationary, a balancing control scheme is generated based on the remaining power and the charge and discharge intervals to balance the power between the battery packs;

[0011] When the operating state is running, the required voltage of the motor is obtained, and an output control scheme for controlling the output of each battery pack is generated based on the required voltage and the remaining power.

[0012] The present application obtains usage data of each battery pack, analyzes the battery pack based on the usage data to obtain an aging score for evaluating the aging of the battery pack; adjusts the charge and discharge interval of the battery pack based on the aging score to obtain the current charge and discharge interval; obtains the operating status of the mining locomotive and the remaining power of each battery pack; when the operating status is stationary, generates a balancing control scheme for balancing the power between each battery pack based on the remaining power and the charge and discharge interval; when the operating status is running, obtains the required voltage required by the motor, and generates an output control scheme for controlling the output of each battery pack based on the required voltage and the remaining power; realizes balanced adjustment of the battery pack voltage when the locomotive is running and stationary, ensures the consistency of the status of each battery pack as much as possible, and extends the life of the entire power supply part.

[0013] Preferably, generating the aging score based on usage data comprises:

[0014] Extracting several charging data, discharging data and remaining power data from the usage data; extracting several charging state parameters from the charging data and several discharging state parameters from the discharging data, as well as the remaining power of each time period from the remaining power data; the charging data is the data recorded when the battery is charging, including several charging state parameters during charging, and the charging state parameters are related parameters such as voltage, current and battery temperature during charging; the discharging data is the data recorded when the battery is discharging, including several discharge state parameters during discharging, and the discharge state parameters are related parameters such as voltage, current and battery temperature during discharging; the remaining power is the power of the battery when it is not in use,

[0015] An influence coefficient 1 representing the influence of the battery pack usage on the aging of the battery pack is calculated based on a plurality of charge state parameters and a plurality of discharge state parameters;

[0016] A second influence coefficient representing the effect of the remaining power of the battery pack during storage on the aging of the battery pack is obtained based on the power of each period;

[0017] The influence coefficient 1 and the influence coefficient 2 are summed to obtain an aging score that comprehensively represents the aging condition of the battery pack.

[0018] Preferably, calculating the influence coefficient one based on a plurality of charging state parameters and a plurality of discharging state parameters includes:

[0019] Acquire a plurality of charging state parameters and a plurality of discharging state parameters, as well as an optimal value of the charging state parameter set corresponding to each charging state parameter and an optimal value of the discharging state parameter set corresponding to each discharging state parameter;

[0020] Inputting the difference between the state of charge parameter and its corresponding optimal value of the state of charge parameter into a set quantitative influence function 1 to obtain a state of charge parameter influence coefficient for representing the influence of the state of charge parameter on the battery;

[0021] Inputting the difference between the discharge state parameter and its corresponding optimal discharge state parameter value into the set quantization influence function 2 to obtain a discharge state parameter influence coefficient for representing the influence of the discharge state parameter on the battery;

[0022] Sequentially obtain the influence coefficients of each charging state parameter in a number of charging data and the influence coefficients of the discharge state parameter in a number of discharging data, and perform weighted summation on each charging state parameter influence coefficient and the discharge state parameter influence coefficient to obtain an influence coefficient one for representing the influence of the battery pack usage on the aging of the battery pack.

[0023] Preferably, the second influence coefficient is calculated based on the power consumption in each time period, including:

[0024] Obtain the remaining power and duration of each time period; query a storage power impact lookup table for a corresponding storage impact coefficient based on the remaining power, where the storage impact coefficient represents the impact of the remaining power stored per unit time on battery aging; the storage power impact lookup table includes several battery power levels and their corresponding storage impact coefficients, with the battery power levels presented as percentages;

[0025] The product of the length of each time period and its corresponding storage impact coefficient is summed to obtain the impact coefficient 2 for representing the impact on the aging of the battery pack under storage conditions.

[0026] Preferably, adjusting the charge and discharge interval of the battery pack based on the aging score to obtain the current charge and discharge interval includes:

[0027] Extracting the upper and lower limits of power in the charge and discharge interval; obtaining a set adjustment step, where the adjustment step is the reduction of the charge and discharge interval of the battery pack per unit aging score; recording the product of the aging score and the adjustment step as the reduction; recording the difference between the upper limit of power and the reduction as the current upper limit of power; recording the sum of the lower limit of power and the reduction as the current lower limit of power; and reintegrating the current upper and lower limits of power into the charge and discharge interval.

[0028] Preferably, generating the balancing control scheme based on the remaining power and the charge and discharge interval includes:

[0029] S1: Obtain the remaining power of each battery pack; determine whether the remaining power of each battery pack is within the charge and discharge range; if yes, proceed to S4; if not, proceed to S2;

[0030] S2: Determine whether the remaining power of each battery exceeds the upper limit of the charge and discharge interval; if yes, generate a power saturation alarm signal; if no, enter S3;

[0031] S3: Determine whether the remaining power of each battery is lower than the lower limit of the charge and discharge interval; if yes, generate a low power alarm signal; if no, generate several balanced battery pack pairs based on the remaining power of the battery pack and the charge and discharge interval, and enter S7;

[0032] S4: Obtain the remaining power in the battery pack; arrange the remaining power in descending order to obtain a power ranking table;

[0033] S5: Determine whether the voltage difference between the battery pack ranked first and the battery pack ranked last in the power ranking table is greater than a set voltage difference threshold; if yes, proceed to S6; if no, proceed to S7;

[0034] S6: Integrate the battery group ranked first and the battery group ranked last into a balanced battery group pair; and delete the battery groups belonging to the balanced battery group pair from the power ranking table to generate a new power ranking table, and jump to S5;

[0035] S7: Obtain each balanced battery pair, select the battery group with the largest remaining charge in the balanced battery pair as the discharge battery group, and the battery group with the smallest remaining charge as the charge battery group; thereby generating a charging plan for the balanced battery pair, wherein the charging plan is a control plan for controlling the discharge battery group to charge the charge battery group, including charging power; and proceed to S8;

[0036] S8: Integrate the charging schemes of each balanced battery pair into a balanced control scheme.

[0037] Preferably, generating a plurality of balanced battery pack pairs based on the remaining power of the battery pack and the charge and discharge intervals includes:

[0038] S31: Arrange the battery packs in descending order of remaining power to obtain a power ranking table;

[0039] S32: Determine whether the remaining power of the first-ranked battery pack exceeds the upper limit of the charge and discharge interval, or whether the remaining power of the last-ranked battery pack is lower than the lower limit of the charge and discharge interval; if yes, proceed to S33; if no, proceed to S34;

[0040] S33: Integrate the battery group ranked first and the battery group ranked last into a balanced battery group pair, and delete the battery groups belonging to the balanced battery group pair in the power ranking table to generate a new power ranking table; jump to S32;

[0041] S34: Determine whether the voltage difference between the first-ranked battery pack and the last-ranked battery pack in the power ranking table is greater than a set voltage difference threshold; if so, proceed to S35; if not, output each balanced battery pack pair;

[0042] S35: Integrate the battery group ranked first and the battery group ranked last into a balanced battery group pair; and delete the battery groups belonging to the balanced battery group pair in the power ranking table to generate a new power ranking table, and jump to S34.

[0043] Preferably, generating the output control scheme based on the required voltage and the remaining power includes:

[0044] Obtaining the remaining power of each battery pack, marking the battery pack whose remaining power exceeds the upper limit of the charge and discharge interval as a priority battery pack; and numbering the priority battery packs in descending order according to the difference between the remaining power and the upper limit of the charge and discharge interval;

[0045] The remaining battery packs are numbered in descending order according to the difference between the remaining power and the lower limit of the power in the charge and discharge range;

[0046] The required voltage is obtained, and a priority battery pack is selected in order of number based on the required voltage. The remaining battery packs are then selected in order of number for power supply, and the selected priority battery packs and / or the remaining battery packs are integrated into an output control scheme. It is important to note that power supply is limited to a level where the difference between the lowest remaining charge of the battery pack exceeding the lower limit of the charge / discharge interval and the remaining charge is less than the voltage difference threshold.

[0047] Another aspect of the present application provides a battery power control system for a mining locomotive, comprising: a data acquisition module, a battery pack evaluation module, a power control module, an alarm module, and a database;

[0048] A battery pack evaluation module obtains usage data of each battery pack from a database, analyzes the battery pack based on the usage data, and obtains an aging score for evaluating the aging of the battery pack; adjusts the charge and discharge interval of the battery pack based on the aging score to obtain the current charge and discharge interval; the battery pack is composed of multiple battery packs; a combination of battery packs that can meet the minimum power supply requirement, such as a battery pack on a series circuit in a power supply method of first series connection and then parallel connection, and a battery pack consisting of a set number of parallel battery packs in a power supply method of first parallel connection and then series connection, in which case the set number is one;

[0049] Data acquisition module: obtains the remaining power of the battery pack and the operating status of the mining locomotive;

[0050] The power control module includes a balancing control unit and an output control unit;

[0051] The balancing control unit: when the operating state is static; generates a balancing control scheme for balancing the power between the battery packs based on the remaining power and the charge and discharge interval;

[0052] The output control unit: when the operating state is running, obtains the required voltage required by the motor, and generates an output control scheme for controlling the output of each battery pack based on the required voltage and the remaining power.

[0053] Compared with the prior art, the present invention has the following advantages:

[0054] 1. The present application obtains usage data of each battery pack, analyzes the battery pack according to the usage data to obtain an aging score for evaluating the aging of the battery pack; adjusts the charge and discharge interval of the battery pack according to the aging score to obtain the current charge and discharge interval; obtains the operating status of the mining locomotive and the remaining power of each battery pack; when the operating status is stationary, generates a balancing control scheme for balancing the power between each battery pack based on the remaining power and the charge and discharge interval; when the operating status is running, obtains the required voltage required by the motor, and generates an output control scheme for controlling the output of each battery pack according to the required voltage and the remaining power; realizes the balanced adjustment of the battery pack voltage when the locomotive is running and stationary, ensures the consistency of the status of each battery pack as much as possible, and extends the life of the entire power supply part.

[0055] 2. This application further improves the accuracy of subsequent battery power adjustments by analyzing the aging of the battery pack.

[0056] 3. This application provides power to battery packs that exceed the upper limit of the charge and discharge range by giving priority to them, so that these battery packs can return to normal power. After the battery packs that exceed the upper limit of the charge and discharge range are used up, the battery pack with the largest remaining power is selected to provide power, which can reduce the remaining power of the corresponding battery pack, achieve dynamic balancing of the battery power, and then achieve dynamic balancing of the battery voltage, thereby ensuring that the status of each battery pack is consistent as much as possible and extending the life of the entire power supply part. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0058] Figure 1 This is a schematic diagram of the steps of the battery power control method in this application;

[0059] Figure 2 This is a schematic diagram of the module connection of the battery power control system in this application. DETAILED DESCRIPTION

[0060] The following will clearly and completely describe the technical solutions of this application in conjunction with the embodiments. Obviously, the embodiments described are only a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0061] See also Figure 1 The first aspect of the present application provides a battery power control method for a mining locomotive, comprising the following steps:

[0062] Obtain usage data for each battery pack. The usage data is relevant data collected when the battery pack is charging, discharging, and not in use, including current, voltage, and battery temperature during charging or discharging, as well as the remaining power when not in use.

[0063] An aging score is obtained by analyzing the battery pack based on usage data to evaluate the aging of the battery pack. The aging score indicates the current aging status of the battery pack, i.e., its performance status. A higher aging score indicates a more serious performance degradation of the battery pack.

[0064] The battery pack's charge and discharge interval is adjusted based on the aging score to obtain the current charge and discharge interval. The original charge and discharge interval is the battery pack's charge and discharge interval, including the upper and lower limits of the remaining battery power. For example, if the charge and discharge interval is 10%-90%, the corresponding upper limit is 90% and the lower limit is 10%. The adjusted charge and discharge interval is the current charge and discharge range suitable for the battery pack.

[0065] Obtain the operating status of the mining locomotive and the remaining power of each battery pack; the operating status indicates whether the mining locomotive is started. When the mining locomotive is started, the operating status is running; when the mining locomotive is not started, the operating status is stationary;

[0066] When the operating state is stationary, a balancing control scheme is generated based on the remaining power and the charge and discharge intervals to balance the power between the battery packs;

[0067] When the operating state is running, the required voltage required by the motor is obtained, and the required voltage is the voltage corresponding to the required output speed of the motor; an output control scheme for controlling the output of each battery pack is generated based on the required voltage and the remaining power.

[0068] This embodiment obtains usage data of each battery pack, analyzes the battery pack based on the usage data to obtain an aging score for evaluating the aging of the battery pack; adjusts the charge and discharge interval of the battery pack based on the aging score to obtain the current charge and discharge interval; obtains the operating status of the mining locomotive and the remaining power of each battery pack; when the operating status is stationary, generates a balancing control scheme for balancing the power between each battery pack based on the remaining power and the charge and discharge interval; when the operating status is running, obtains the required voltage required by the motor, and generates an output control scheme for controlling the output of each battery pack based on the required voltage and the remaining power; achieves balanced adjustment of the battery pack voltage when the locomotive is running and stationary, ensures the consistency of the status of each battery pack as much as possible, and extends the life of the entire power supply part.

[0069] Generating an aging score based on usage data includes: extracting a number of charging data, discharging data, and remaining power data from the usage data; extracting a number of charging state parameters from the charging data and a number of discharging state parameters from the discharging data, as well as the remaining power for each time period from the remaining power data; the charging data is data recorded when the battery is charging, including a number of charging state parameters during charging, and the charging state parameters are related parameters such as voltage, current, and battery temperature during charging; the discharging data is data recorded when the battery is discharging, including a number of discharging state parameters during discharging, and the discharge state parameters are related parameters such as voltage, current, and battery temperature during discharging; the remaining power is the power of the battery when it is not in use, and the time period is a set length of time;

[0070] An influence coefficient 1 representing the influence of the battery pack usage on the aging of the battery pack is calculated based on a plurality of charge state parameters and a plurality of discharge state parameters;

[0071] A second influence coefficient representing the effect of the remaining power of the battery pack during storage on the aging of the battery pack is obtained based on the power of each period;

[0072] The influence coefficient 1 and the influence coefficient 2 are summed to obtain an aging score that comprehensively represents the aging condition of the battery pack.

[0073] This embodiment performs a comprehensive analysis of the battery by evaluating the battery's charging and discharging states, as well as its state when not in use, so that the final current state of the corresponding battery is more accurate; thereby improving the accuracy of other subsequent operations based on this.

[0074] An influence coefficient one is calculated based on a number of charge state parameters and a number of discharge state parameters, including:

[0075] Obtain a number of charging state parameters and a number of discharging state parameters, as well as the optimal values of the charging state parameters set corresponding to each charging state parameter and the optimal values of the discharging state parameters set corresponding to each discharging state parameter; the optimal values of the charging state parameters or the discharging state parameters are the theoretical values of the corresponding parameters during the charging process or the discharging process set for the corresponding battery pack when it leaves the factory. In this embodiment, the optimal values are the rated values of the corresponding parameters.

[0076] Inputting the difference between the state of charge parameter and its corresponding optimal value of the state of charge parameter into a set quantitative influence function 1 to obtain a state of charge parameter influence coefficient used to represent the influence of the state of charge parameter on the battery; the quantitative influence function 1 is used to quantify the influence of each state of charge parameter on battery aging;

[0077] Inputting the difference between the discharge state parameter and its corresponding optimal discharge state parameter value into a set quantization influence function 2 to obtain a discharge state parameter influence coefficient used to represent the influence of the discharge state parameter on the battery; the quantization influence function 2 is used to quantify the influence of each discharge state parameter on battery aging;

[0078] Sequentially obtain the influence coefficients of each charging state parameter in a number of charging data and the influence coefficients of the discharge state parameter in a number of discharging data, and perform weighted summation on each charging state parameter influence coefficient and the discharge state parameter influence coefficient to obtain an influence coefficient one for representing the influence of the battery pack usage on the aging of the battery pack.

[0079] Specifically, in this embodiment, the influence coefficient 1 is obtained in the following manner, including: obtaining a plurality of charging state parameters CDij and a plurality of discharging state parameters FDmn; and an optimal value ZCDj corresponding to each charging state parameter and an optimal value ZFDn corresponding to each discharging state parameter; wherein i is the number of the charging data corresponding to the charging state parameter, j is the number of the charging state parameter; m is the number of the discharging data corresponding to the discharging state parameter, and n is the number of the discharging state parameter;

[0080] By formula Calculate the difference CCij between the charging state parameter and its corresponding optimal value; by formula Calculate the difference FCmn between the discharge state parameter and its corresponding optimal value;

[0081] By formula:

[0082] ,

[0083] Among them, YX1 is the influence coefficient 1; α1 and α2 are proportional coefficients used to adjust the influence of the charging and discharging process on battery aging. The specific values are set according to experience. Since this embodiment is used for mining electric locomotives, the load during vehicle operation is large, which has a greater impact on battery aging. Therefore, α1<α2 in this embodiment; this embodiment is set to α1=0.42, α2=0.58; εj is the adjustment factor of the charging state parameter numbered j, 0<εj<1; the specific value is set by experts according to the degree of influence of the corresponding charging state parameter on battery aging; the corresponding charging state parameter deviates to the same degree, which has a greater impact on battery aging. The larger the value, the larger the corresponding adjustment factor; δn is the adjustment factor of the discharge state parameter numbered n; 0<δn<1; the specific value is set by experts based on the degree of influence of the corresponding discharge state parameter on battery aging; the greater the influence on battery aging when the corresponding discharge state parameter deviates by the same degree, the larger the value of the corresponding adjustment factor; Pj() is the quantization influence function 1 set corresponding to the charging state parameter numbered j; Qn() is the quantization influence function 2 set corresponding to the charging state parameter numbered n; both the quantization influence function 1 and the quantization influence function 2 are set increasing functions; the quantization influence function 1 in this embodiment is:

[0084] ,

[0085] The second quantitative influence function is:

[0086] ,

[0087] Among them, DCCj is the unit parameter corresponding to the set charging state parameter numbered j, which is used to remove and quantize the corresponding charging state parameter; DFCn is the unit parameter corresponding to the set discharge state parameter numbered n, which is used to remove and quantize the corresponding discharge state parameter; μj is the base parameter corresponding to the set charging state parameter numbered j, and γn is the base parameter corresponding to the set discharge state parameter numbered n; μj and γn are both constants greater than 1, which are used to control the conversion of charging state parameters and discharge state parameters into the size relationship of the influencing array; the unit parameters are used to realize the quantitative influence of the charging state parameters or discharge state parameters on battery aging; the specific values are set according to experience.

[0088] Specifically, in this embodiment, the charging state parameters include charging voltage, charging current, charging power and charging temperature, etc., and their corresponding unit parameters are DCC1=1V, DCC2=1A, DCC3=1W, DCC4=1℃, etc.; their corresponding base parameters μ1=4, μ2=4, μ3=4, μ4=2, etc.; their corresponding adjustment factors ε1=0.5, ε2=0.5, ε3=0.5, ε4=0.7, etc.; the charging temperature during the charging process will directly affect the internal chemical balance of the battery, and thus have a greater impact on battery aging, so its corresponding adjustment factor is set The discharge state parameters include discharge voltage, discharge current, discharge power and discharge temperature, and the corresponding unit parameters are DCC1=1V, DCC2=1A, DCC3=1W, DCC4=1℃, etc.; the corresponding base parameters γ1=4, γ2=4, γ3=4, γ4=2, etc.; the corresponding adjustment factors δ1=0.6, δ2=0.5, δ3=0.6, δ4=0.7, etc.; the temperature of the discharge electrode during the discharge process will also directly affect the internal chemical balance of the battery, and thus have a greater impact on battery aging, so the corresponding adjustment factor is set larger.

[0089] It is understandable that battery aging assessment is a relatively existing technology, and other battery aging assessment methods can be used to replace the aging assessment solution provided in this embodiment; the remaining examples are still feasible.

[0090] In this embodiment, the impact factor 1 is obtained through the above steps. The greater the difference between the charging state parameter or the discharging state parameter and its corresponding optimal value, the more serious the impact of the charging process or the discharging process on battery aging; and the corresponding impact factor 1 is set larger. Since different charging state parameters or discharging state parameters have different effects on battery aging, this embodiment adjusts their effects by setting corresponding adjustment factors, so that the quantization result can more accurately represent the current state of the battery.

[0091] The second influence coefficient is obtained based on the power calculation of each time period, including: obtaining the remaining power and time period of each time period; querying the corresponding storage influence coefficient in the storage power influence lookup table according to the remaining power, and the storage influence coefficient is the impact of the remaining power stored in a unit time on battery aging; the storage power influence lookup table includes several battery powers and their corresponding storage influence coefficients, and the battery power is presented in percentage form; if the remaining power is 80%-100%, the battery in this state may cause the internal pressure of the battery to increase, aggravate side reactions, such as electrolyte decomposition, lithium dendrite growth, etc., which will lead to accelerated capacity decay, that is, accelerated aging, and the corresponding storage influence coefficient is set to be larger; the remaining power is 40%-50%, and the battery in this state balances the risk of self-discharge and side reactions, avoids irreversible damage to the battery due to over-discharge or full charge, and the battery aging is relatively small, and the corresponding storage influence coefficient is set to be larger. The remaining power is between 0% and 20%. In this state, the battery may trigger the over-discharge protection mechanism, resulting in the growth of copper dendrites, which may damage the battery structure in the long term and have a greater aging effect. The corresponding storage influence coefficient is set to be larger. The specific value of the storage influence coefficient is set by experts through experiments. Specifically, several batteries of the same model are prepared, and each battery is charged to a set power range. In this embodiment, 50 groups of batteries with power levels of 10%, 30%, 50%, 70% and 90% are set. The battery is placed in the same environment for a set period of time. In this embodiment, the placement time is 1 year. After the battery is fully charged, the battery power in its fully charged state is obtained, and the ratio of the battery power when the battery is fully charged at the factory to the current battery power is calculated. The average value of the ratio of the 10% battery group is obtained as the storage influence coefficient under the corresponding group. The storage influence coefficient corresponding to each group is obtained in turn. Finally, the storage power influence lookup table is obtained as follows:

[0092] .

[0093] The product of the duration of each time period and its corresponding storage impact coefficient is summed to obtain the impact coefficient 2 used to represent the impact of storage on the aging of the battery pack; specifically, the impact coefficient 2 is calculated using the formula YX2=∑(CFXt×Tt / DT), where CFXt is the storage impact coefficient corresponding to the time period numbered t, Tt is the duration corresponding to the time period numbered t; t=1, 2, …, G; G is the total number of time periods; DT is the set unit duration used to quantify the time period duration; in this embodiment, DT=600s.

[0094] The charge and discharge intervals of the battery pack are adjusted based on the aging score to obtain the current charge and discharge intervals, including:

[0095] Extract the upper and lower limits of power in the charge and discharge interval; obtain the set adjustment step, where the adjustment step is the reduction of the charge and discharge interval of the battery pack per unit aging score; the adjustment step can be obtained through experimental verification or through expert experience; the product of the aging score and the adjustment step is recorded as the reduction; the difference between the upper limit of power and the reduction is recorded as the current upper limit of power; the sum of the lower limit of power and the reduction is recorded as the current lower limit of power; and the current upper and lower limits of power are reintegrated into the charge and discharge interval.

[0096] This embodiment further improves the accuracy of subsequent battery power adjustment by analyzing the aging of the battery pack.

[0097] Generating the balancing control scheme based on the remaining power and the charge and discharge interval includes:

[0098] S1: Obtain the remaining capacity of each battery pack; determine whether the remaining capacity of each battery pack is within the charge and discharge range; if so, it means that the remaining capacity is within the safe range and only balancing adjustment is performed; then enter S4; if not, it means that the remaining capacity needs to be adjusted to the safe range first, and then balancing adjustment is performed, then enter S2;

[0099] S2: Determine whether the remaining power of each battery pack exceeds the upper limit of the charge and discharge interval; if so, generate a power saturation alarm signal, which indicates that the current power of each battery pack exceeds the reasonable power value. If this continues for a long time, it will lead to a decrease in the life of the battery pack; if not, enter S3;

[0100] S3: Determine whether the remaining power of each battery pack is lower than the lower limit of the power in the charge and discharge interval; if so, generate a low power alarm signal, which indicates that the current power of each battery pack is lower than the reasonable power value. If this continues for a long time, it will lead to a shortened battery pack life; if not, generate several balancing battery pack pairs based on the remaining power of the battery pack and the charge and discharge interval. The balancing battery pack pair is two battery packs that are correspondingly charged or discharged; then enter S7;

[0101] S4: Obtain the remaining power in the battery pack; arrange the remaining power in descending order to obtain a power ranking table;

[0102] S5: Determine whether the voltage difference between the first battery pack and the last battery pack in the power ranking table is greater than a set voltage difference threshold. The voltage difference threshold is set based on experience. If yes, it indicates that the voltages between the two battery packs are unbalanced and need to be adjusted. Then, the process proceeds to S6. If no, it indicates that the voltages of the remaining battery packs are balanced and no adjustment is required. Then, the process proceeds to S7.

[0103] S6: Integrate the battery group ranked first and the battery group ranked last into a balanced battery group pair; and delete the battery groups belonging to the balanced battery group pair from the power ranking table to generate a new power ranking table, and jump to S5;

[0104] S7: Obtain each balanced battery pair, select the battery group with the larger remaining charge in the balanced battery pair as the discharge battery group, and the battery group with the smaller remaining charge as the charge battery group; thereby generating a charging plan for the balanced battery pair, wherein the charging plan is a control plan for controlling the discharge battery group to charge the charge battery group; the charge exchanged in the balanced battery group is half of the difference between the charges of the two battery groups; and proceed to S8;

[0105] S8: Integrate the charging schemes of each balanced battery pair into a balanced control scheme.

[0106] Generate several balanced battery pack pairs based on the remaining power of the battery pack and the charge and discharge intervals, including:

[0107] S31: Arrange the battery packs in descending order of remaining power to obtain a power ranking table;

[0108] S32: Determine whether the remaining power of the first-ranked battery pack exceeds the upper limit of the charge and discharge interval, or whether the remaining power of the last-ranked battery pack is lower than the lower limit of the charge and discharge interval; if yes, proceed to S33; if no, proceed to S34;

[0109] S33: Integrate the battery group ranked first and the battery group ranked last into a balanced battery group pair, and delete the battery groups belonging to the balanced battery group pair in the power ranking table to generate a new power ranking table; jump to S32;

[0110] S34: Determine whether the voltage difference between the first-ranked battery pack and the last-ranked battery pack in the power ranking table is greater than a set voltage difference threshold; if so, proceed to S35; if not, output each balanced battery pack pair;

[0111] S35: Integrate the battery group ranked first and the battery group ranked last into a balanced battery group pair; and delete the battery groups belonging to the balanced battery group pair in the power ranking table to generate a new power ranking table, and jump to S34.

[0112] This embodiment adjusts the power of battery packs that exceed the upper limit of the charge and discharge range and the power of battery packs that are below the lower limit of the charge and discharge range to within the charging range, and then narrows the power gap between the battery packs to achieve dynamic battery power balancing, and then achieves dynamic battery voltage balancing, thereby ensuring that the status of each battery pack is consistent as much as possible and extending the life of the entire power supply part.

[0113] Generating an output control scheme based on the required voltage and the remaining power includes: obtaining the remaining power of each battery pack, marking the battery packs whose remaining power exceeds the upper limit of the charge and discharge interval as priority battery packs; and numbering the priority battery packs in descending order according to the difference between the remaining power and the upper limit of the charge and discharge interval;

[0114] The remaining battery packs are numbered in descending order according to the difference between the remaining power and the lower limit of the power in the charge and discharge range;

[0115] Obtain the required voltage, select the priority battery pack in the order of number according to the required voltage, then select the remaining battery packs in the order of number for power supply, and integrate the selected priority battery pack and / or the remaining battery packs into an output control scheme.

[0116] This embodiment preferentially selects battery packs that exceed the upper limit of the charge and discharge range for power supply, so that these battery packs can return to normal power. After the battery packs that exceed the upper limit of the charge and discharge range are used up, the battery pack with the largest remaining power is selected for power supply, which can reduce the remaining power of the corresponding battery pack, realize dynamic balancing of battery power, and then realize dynamic balancing of battery voltage, thereby ensuring that the status of each battery pack is consistent as much as possible, and extending the life of the entire power supply part.

[0117] See also Figure 2 , another aspect of the present application provides a battery power control system for a mining locomotive, comprising: a data acquisition module, a battery pack evaluation module, a power control module, an alarm module and a database;

[0118] A battery pack evaluation module obtains usage data of each battery pack from a database, analyzes the battery pack based on the usage data, and obtains an aging score for evaluating the aging of the battery pack; adjusts the charge and discharge interval of the battery pack based on the aging score to obtain the current charge and discharge interval; the battery pack is composed of multiple battery packs; a combination of battery packs that can meet the minimum power supply requirement, such as a battery pack on a series circuit in a power supply method of first series connection and then parallel connection, and a battery pack consisting of a set number of parallel battery packs in a power supply method of first parallel connection and then series connection, in which case the set number is one;

[0119] Data acquisition module: obtains the remaining power of the battery pack and the operating status of the mining locomotive;

[0120] The power control module includes a balancing control unit and an output control unit;

[0121] The balancing control unit: when the operating state is static; generates a balancing control scheme for balancing the power between the battery packs based on the remaining power and the charge and discharge interval;

[0122] The output control unit: when the operating state is running, obtains the required voltage of the motor, and generates an output control scheme for controlling the output of each battery pack based on the required voltage and the remaining power;

[0123] The alarm module is used to issue early warnings for battery saturation alarm signals and low battery alarm signals;

[0124] The database is used to store all the data of this system.

[0125] Some of the data in the above formula are calculated by removing the dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0126] How this application works:

[0127] The present application obtains usage data of each battery pack, analyzes the battery pack based on the usage data to obtain an aging score for evaluating the aging of the battery pack; adjusts the charge and discharge interval of the battery pack based on the aging score to obtain the current charge and discharge interval; obtains the operating status of the mining locomotive and the remaining power of each battery pack; when the operating status is stationary, generates a balancing control scheme for balancing the power between each battery pack based on the remaining power and the charge and discharge interval; when the operating status is running, obtains the required voltage required by the motor, and generates an output control scheme for controlling the output of each battery pack based on the required voltage and the remaining power; realizes balanced adjustment of the battery pack voltage when the locomotive is running and stationary, ensures the consistency of the status of each battery pack as much as possible, and extends the life of the entire power supply part.

[0128] The above embodiments are only used to illustrate the technical method of the present application and are not intended to limit it. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present application.

Claims

1. A battery power control method for a mining locomotive, characterized in that: include: Obtain usage data of battery packs for mining locomotives; Analyzing the battery pack based on usage data to obtain an aging score for evaluating the aging condition of the battery pack; Adjust the charge and discharge interval of the battery pack based on the aging score to obtain the current charge and discharge interval; including: Extracting the upper and lower limits of power in the charge and discharge interval; obtaining a set adjustment step, where the adjustment step is the reduction of the charge and discharge interval of the battery pack per unit aging score; recording the product of the aging score and the adjustment step as the reduction; recording the difference between the upper and lower limits of power as the current upper limit of power; recording the sum of the lower limit of power and the reduction as the current lower limit of power; and reintegrating the current upper and lower limits of power into the charge and discharge interval; Obtain the operating status of the mining locomotive and the remaining power of each battery pack; When the operating state is running, the required voltage of the motor is obtained, and an output control scheme for controlling the output of each battery pack is generated based on the required voltage and the remaining power.

2. A battery power control method for a mining locomotive according to claim 1, characterized in that: Generating the aging score based on usage data includes: Extracting some charging data, discharging data and remaining power data from the usage data; Extracting several charging state parameters from the charging data, several discharging state parameters from the discharging data, and the remaining power in each time period from the remaining power data; An influence coefficient 1 representing the influence of the battery pack usage on the aging of the battery pack is calculated based on a plurality of charge state parameters and a plurality of discharge state parameters; A second influence coefficient representing the effect of the remaining power of the battery pack during storage on the aging of the battery pack is obtained based on the power of each period; The weighted sum of the influence coefficient 1 and the influence coefficient 2 is used to obtain an aging score for comprehensively representing the aging condition of the battery pack.

3. A battery power control method for a mining locomotive according to claim 2, characterized in that: Calculating the first influence coefficient based on a plurality of charging state parameters and a plurality of discharging state parameters includes: Acquire a plurality of charging state parameters and a plurality of discharging state parameters, as well as an optimal value of the charging state parameter set corresponding to each charging state parameter and an optimal value of the discharging state parameter set corresponding to each discharging state parameter; Inputting the difference between the state of charge parameter and its corresponding optimal value of the state of charge parameter into a set quantitative influence function 1 to obtain a state of charge parameter influence coefficient for representing the influence of the state of charge parameter on the battery; Inputting the difference between the discharge state parameter and its corresponding optimal discharge state parameter value into the set quantization influence function 2 to obtain a discharge state parameter influence coefficient for representing the influence of the discharge state parameter on the battery; Sequentially obtain the influence coefficients of each charging state parameter in a number of charging data and the influence coefficients of the discharge state parameter in a number of discharging data, and perform weighted summation on each charging state parameter influence coefficient and the discharge state parameter influence coefficient to obtain an influence coefficient one for representing the influence of the battery pack usage on the aging of the battery pack.

4. A battery power control method for a mining locomotive according to claim 2, characterized in that: The second impact coefficient is obtained by calculating the power consumption in each time period, including: Obtain the remaining power and duration of each time period; query the storage power impact lookup table for the corresponding storage impact coefficient based on the remaining power, where the storage impact coefficient is the impact of the remaining power on battery aging per unit time; The product of the length of each time period and its corresponding storage impact coefficient is summed to obtain the impact coefficient 2 for representing the impact on the aging of the battery pack under storage conditions.

5. The battery power control method for a mining locomotive according to claim 1, characterized in that: Generating the output control scheme based on the required voltage and the remaining power includes: Obtaining the remaining power of each battery pack, marking the battery pack whose remaining power exceeds the upper limit of the charge and discharge interval as a priority battery pack; and numbering the priority battery packs in descending order according to the difference between the remaining power and the upper limit of the charge and discharge interval; The remaining battery packs are numbered in descending order according to the difference between the remaining power and the lower limit of the power in the charge and discharge range; Obtain the required voltage, select the priority battery pack in the order of number according to the required voltage, then select the remaining battery packs in the order of number for power supply, and integrate the selected priority battery pack and / or the remaining battery packs into an output control scheme.

6. A battery power control method for a mining locomotive according to claim 1, characterized in that: When the operating state is static, a balancing control scheme for balancing the power among the battery packs is generated based on the remaining power and the charge and discharge interval.

7. A battery power control method for a mining locomotive according to claim 6, characterized in that: Generating the balancing control scheme based on the remaining power and the charge and discharge interval includes: S1: Obtain the remaining power of each battery pack; determine whether the remaining power of each battery pack is within the charge and discharge range; if yes, proceed to S4; if not, proceed to S2; S2: Determine whether the remaining power of each battery exceeds the upper limit of the charge and discharge interval; if yes, generate a power saturation alarm signal; if no, enter S3; S3: Determine whether the remaining power of each battery is lower than the lower limit of the charge and discharge interval; if yes, generate a low power alarm signal; if no, generate several balanced battery pack pairs based on the remaining power of the battery pack and the charge and discharge interval, and enter S7; S4: Obtain the remaining power in the battery pack; arrange the remaining power in descending order to obtain a power ranking table; S5: Determine whether the voltage difference between the battery pack ranked first and the battery pack ranked last in the power ranking table is greater than a set voltage difference threshold; if yes, proceed to S6; if no, proceed to S7; S6: Integrate the battery group ranked first and the battery group ranked last into a balanced battery group pair; and delete the battery groups belonging to the balanced battery group pair from the power ranking table to generate a new power ranking table, and jump to S5; S7: Obtain each balanced battery pair, use the battery group with the largest remaining charge in the balanced battery pair as a discharge battery group, and use the battery group with the smallest remaining charge as a charge battery group; thereby generating a charging plan for the balanced battery pair, and proceeding to S8; S8: Integrate the charging schemes of each balanced battery group pair into a balanced control scheme; the charging scheme is a control scheme for controlling the discharging battery group to charge the charging battery group.

8. A battery power control method for a mining locomotive according to claim 7, characterized in that: Generating a plurality of balanced battery pack pairs based on the remaining power of the battery pack and the charge and discharge intervals includes: S31: Arrange the battery packs in descending order of remaining power to obtain a power ranking table; S32: Determine whether the remaining power of the first-ranked battery pack exceeds the upper limit of the charge and discharge interval, or whether the remaining power of the last-ranked battery pack is lower than the lower limit of the charge and discharge interval; if yes, proceed to S33; if no, proceed to S34; S33: Integrate the battery group ranked first and the battery group ranked last into a balanced battery group pair, and delete the battery groups belonging to the balanced battery group pair in the power ranking table to generate a new power ranking table; jump to S32; S34: Determine whether the voltage difference between the first-ranked battery pack and the last-ranked battery pack in the power ranking table is greater than a set voltage difference threshold; if so, proceed to S35; if not, output each balanced battery pack pair; S35: Integrate the battery group ranked first and the battery group ranked last into a balanced battery group pair; and delete the battery groups belonging to the balanced battery group pair in the power ranking table to generate a new power ranking table, and jump to S34.

9. A battery power control system for a mining locomotive, based on the application of a battery power control method for a mining locomotive according to any one of claims 1 to 8, characterized in that: include: Battery pack evaluation module: This module obtains usage data of each battery pack from a database, analyzes the battery pack based on the usage data, and generates an aging score for evaluating the aging of the battery pack. Adjust the charge and discharge interval of the battery pack based on the aging score to obtain the current charge and discharge interval; Data acquisition module: obtains the remaining power of the battery pack and the operating status of the mining locomotive; The power control module includes a balancing control unit and an output control unit; The balancing control unit: when the operating state is static; generates a balancing control scheme for balancing the power between the battery packs based on the remaining power and the charge and discharge interval; The output control unit: when the operating state is running, obtains the required voltage required by the motor, and generates an output control scheme for controlling the output of each battery pack based on the required voltage and the remaining power.

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