WO2023123789A1 - 电池状态的监控方法及其装置 - Google Patents

电池状态的监控方法及其装置 Download PDF

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Publication number
WO2023123789A1
WO2023123789A1 PCT/CN2022/090808 CN2022090808W WO2023123789A1 WO 2023123789 A1 WO2023123789 A1 WO 2023123789A1 CN 2022090808 W CN2022090808 W CN 2022090808W WO 2023123789 A1 WO2023123789 A1 WO 2023123789A1
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charging
battery
stage
current
temperature
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PCT/CN2022/090808
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English (en)
French (fr)
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魏学文
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北京小米移动软件有限公司
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Publication of WO2023123789A1 publication Critical patent/WO2023123789A1/zh

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3828—Arrangements for monitoring battery or accumulator variables, e.g. SoC using current integration
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/389—Measuring internal impedance, internal conductance or related variables
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

Definitions

  • the present application relates to the field of battery technology, in particular to a method and device for monitoring battery status.
  • This application aims to solve one of the technical problems in the related art at least to a certain extent.
  • an object of the present application is to propose a battery state monitoring method, by obtaining the charging forecast temperature of the battery during the charging process of the terminal device; Adjustment coefficient; obtain the first reference depth of discharge when the battery is fully charged, the second reference depth of discharge at the end of discharge, and the maximum chemical capacity of the battery; according to the adjustment coefficient, the first reference depth of discharge, the The second reference depth of discharge and the maximum chemical capacity are used to update the usable full charge capacity of the battery during the charging process, so that the charging parameters of the battery are updated according to the updated target usable full charge capacity Adjustment.
  • the obtaining the predicted charging temperature of the battery during the charging process of the terminal device includes: obtaining the starting temperature at which the battery starts charging and the actual temperature of the battery during the charging process; obtaining the charging temperature of the battery The first charging current and the first state of charge in the process; according to the measured temperature, the first charging current and the first state of charge, determine the corresponding first impedance value of the battery; according to the starting The charging prediction temperature is determined based on the starting temperature, the first impedance value and the first charging current.
  • the determining the first impedance value corresponding to the battery according to the measured temperature, the first charging current and the first state of charge includes: based on the charging of the battery an open circuit voltage curve, determining a first open circuit voltage corresponding to the first state of charge; determining a first charging impedance point corresponding to the battery according to the first open circuit voltage; determining a first charging impedance point corresponding to the battery according to the measured temperature and the first charging current , determining a first impedance value of the first charging impedance point.
  • the process of obtaining the first state of charge includes: obtaining the first charging current in the time interval between the last state of charge and the first state of charge based on the first charging current in the interval Charging current, determining the average charging current in the interval; obtaining the second charging impedance point corresponding to the current first charging voltage, and determining the second charging impedance point according to the current measured temperature and the average charging current
  • the second impedance value according to the current first charging voltage, the average charging current and the second impedance value, determine the current actual open circuit voltage; based on the current actual open circuit voltage, the current current of the battery
  • the state of charge is corrected to obtain the first state of charge.
  • the method further includes: performing Coulomb integration on the first charging current of the battery during the charging process to obtain the charging quantity; judging the first charging voltage of the battery collected during the charging process Whether the voltage condition of one of the charging impedance points is met; if the first charging voltage of the battery does not meet the voltage condition of one of the charging impedance points, then determine The updated target remaining capacity of the battery.
  • the method further includes: if the first charging voltage of the battery collected during the charging process satisfies the voltage condition of one of the charging impedance points, according to the measured temperature and the first charging voltage state, obtaining the third impedance value of one of the charging impedance points; determining the predicted remaining capacity of the battery according to the third impedance value, the measured temperature and the first depth of discharge of the battery; according to the determining the unusable remaining capacity of the battery based on the initial impedance value at the beginning of battery charging, the measured temperature, and the second reference depth of discharge at the end of the battery discharge; based on the predicted remaining capacity and the unusable remaining capacity , to determine the target remaining capacity.
  • the method further includes: in response to the battery meeting the full charge cut-off condition, acquiring the second charging voltage, the second charging current and the fourth impedance value when the battery is fully charged;
  • the second charging voltage, the second charging current and the fourth impedance value are used to determine the second open circuit voltage when fully charged; according to the second open circuit voltage, the second discharge when fully charged is determined Depth; according to the fourth impedance value, the measured temperature and the second depth of discharge, determine the fully charged predicted remaining capacity of the battery; according to the initial impedance value of the battery charging start, the measured temperature and The second reference depth of discharge at the end of the battery discharge determines the unusable remaining capacity of the battery; based on the fully charged predicted remaining capacity and the unusable remaining capacity, it is determined that the full charge of the battery can be fully charged Allow.
  • the method further includes: obtaining the charging stage included in the battery charging process and the predicted charging temperature of the charging stage; obtaining the stage charging quantity and stage charging current corresponding to the charging stage; For each charging stage, based on the predicted charging temperature of the charging stage, the charging quantity of the charging stage and the charging current of the charging stage, the predicted charging duration of the charging stage is obtained; the current charging stage of the battery is monitored, And based on the current charging stage and the predicted charging duration of the remaining charging stage, the remaining charging duration of the battery is determined.
  • the obtaining the predicted charging temperature of the charging stage includes: obtaining the stage impedance value corresponding to the charging stage; based on the stage impedance value of the charging stage, the initial temperature and the The charging current of the above-mentioned stage is obtained, and the predicted charging temperature of the above-mentioned charging stage is obtained.
  • the obtaining the predicted charging duration of the charging stage based on the predicted charging temperature of the charging stage, the charging quantity of the stage, and the charging current of the stage includes: based on the charging quantity of the stage and the charging current of the stage, The charging current of the above stage is obtained to obtain the basic charging duration of the charging stage; the basic charging duration is corrected according to the predicted charging temperature of the charging stage to obtain the predicted charging duration of the charging stage.
  • the embodiment of the second aspect of the present application proposes a battery state monitoring device, including: a first acquisition module, used to obtain the charging forecast temperature of the battery during the charging process of the terminal device; a first determination module, used to According to the charging prediction temperature, determine the adjustment coefficient used to adjust the available full charge capacity; the second acquisition module is used to acquire the first reference depth of discharge when the battery is fully charged, and the second reference depth at the end of discharge Depth of discharge and the maximum chemical capacity of the battery; an update module, configured to update all the batteries during charging according to the adjustment coefficient, the first reference depth of discharge, the second reference depth of discharge, and the maximum chemical capacity
  • the available full charge capacity of the battery is updated, so as to adjust the charging parameters of the battery according to the updated target available full charge capacity.
  • the first acquisition module is further configured to: acquire the initial temperature at which the battery starts charging and the actual temperature of the battery during the charging process; acquire the first temperature during the charging process of the battery.
  • the charging current and the first state of charge according to the measured temperature, the first charging current and the first state of charge, determine the corresponding first impedance value of the battery; according to the initial temperature, the The first impedance value and the first charging current determine the charging prediction temperature.
  • the first acquisition module is further configured to: determine the first open circuit voltage corresponding to the first state of charge based on the charging open circuit voltage curve of the battery; The voltage determines the first charging impedance point corresponding to the battery; and the first impedance value of the first charging impedance point is determined according to the measured temperature and the first charging current.
  • the first acquisition module is further configured to: acquire the first charging current in the time interval between the previous first state of charge, and based on the first charging current in the interval A charging current, determining the average charging current in the interval; obtaining the second charging impedance point corresponding to the current first charging voltage, and determining the second charging impedance according to the current measured temperature and the average charging current The second impedance value at the point; according to the current first charging voltage, the average charging current and the second impedance value, determine the current actual open circuit voltage; based on the current actual open circuit voltage, the battery’s The current state of charge is corrected to obtain the first state of charge.
  • the device further includes a second determination module, the second determination module is configured to: perform Coulomb integration on the first charging current of the battery during the charging process to obtain the charging quantity; determine Whether the first charging voltage of the battery collected during the charging process meets the voltage condition of one of the charging impedance points; if the first charging voltage of the battery does not meet the voltage condition of one of the charging impedance points, then according to the charging capacity Determine the updated target remaining capacity of the battery based on the initial battery capacity at the beginning of charging the battery.
  • the second determining module is further configured to: if the first charging voltage of the battery collected during the charging process satisfies the voltage condition of one of the charging impedance points, according to the measured temperature and the According to the first state of charge, obtain the third impedance value of one of the charging impedance points; according to the third impedance value, the measured temperature and the first depth of discharge of the battery, determine the predicted residual capacity; according to the initial impedance value at the beginning of charging of the battery, the measured temperature and the second reference depth of discharge at the end of the battery discharge, determine the unusable remaining capacity of the battery; based on the predicted remaining capacity and the determined The unavailable remaining capacity is determined to determine the target remaining capacity.
  • the device further includes a third determination module, the third determination module is configured to: obtain the second charging voltage when the battery is fully charged in response to the battery meeting the full charge cut-off condition , the second charging current and the fourth impedance value; according to the second charging voltage, the second charging current and the fourth impedance value, determine the second open circuit voltage when fully charged; according to the second open circuit voltage, determine the second depth of discharge when fully charged; determine the fully charged predicted remaining capacity of the battery according to the fourth impedance value, the measured temperature, and the second depth of discharge; The initial impedance value at the beginning of charging, the measured temperature and the second reference depth of discharge at the end of the battery discharge, determine the unusable remaining capacity of the battery; based on the fully charged predicted remaining capacity and the unusable remaining capacity Capacitance, which determines the fully charged capacity of the battery available for full charge.
  • the third determination module is configured to: obtain the second charging voltage when the battery is fully charged in response to the battery meeting the full charge cut-off condition , the second charging current and the fourth im
  • the device further includes a fourth determination module, the fourth determination module is configured to: obtain the charging stage included in the battery charging process and the predicted charging temperature of the charging stage; obtain the The stage charging quantity and stage charging current corresponding to the charging stage; for each of the charging stages, based on the predicted charging temperature, the stage charging quantity and the stage charging current of the charging stage, the predicted charging duration of the charging stage is obtained; The current charging stage of the battery is monitored, and the remaining charging duration of the battery is determined based on the current charging stage and the predicted charging duration of the remaining charging stage.
  • the fourth determination module is further configured to: acquire the stage impedance value corresponding to the charging stage; current to obtain the predicted charging temperature for the charging phase.
  • the fourth determination module is further configured to: obtain the basic charging duration of the charging stage based on the charging quantity of the stage and the charging current of the stage; The temperature corrects the basic charging duration to obtain the predicted charging duration of the charging stage.
  • the embodiment of the third aspect of the present application proposes an electronic device, including: at least one processor; and a memory connected to the at least one processor in communication; wherein, the memory stores information that can be used by the Instructions executed by at least one processor, where the instructions are executed by the at least one processor, so as to implement the method for monitoring battery status as described in the embodiment of the first aspect of the present application.
  • the embodiment of the fourth aspect of the present application provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the battery as described in the embodiment of the first aspect of the application. State monitoring method.
  • the embodiment of the fifth aspect of the present application proposes a computer program product, including a computer program, when the computer program is executed by a processor, the monitoring of the battery state as described in the embodiment of the first aspect of the present application is implemented method.
  • FIG. 1 is a schematic diagram of a battery state monitoring method according to an embodiment of the present application.
  • Fig. 2 is a schematic diagram of obtaining a charging predicted temperature of a battery during charging of a terminal device according to an embodiment of the present application.
  • FIG. 3 is a schematic diagram of a charging open-circuit voltage curve of a battery according to an embodiment of the present application.
  • Fig. 4 is a schematic diagram of determining a target remaining capacity of a battery after an update according to an embodiment of the present application.
  • Fig. 5 is a schematic diagram of determining the available full charge capacity for full charge according to an embodiment of the present application.
  • Fig. 6 is a schematic diagram of obtaining a predicted charging duration of a charging stage according to an embodiment of the present application.
  • Fig. 7 is a schematic diagram of a battery state monitoring device according to an embodiment of the present application.
  • Fig. 8 is a schematic diagram of an electronic device according to an embodiment of the present application.
  • Fig. 1 is an exemplary implementation of a battery state monitoring method proposed in the present application. As shown in Fig. 1 , the battery state monitoring method includes the following steps S101 to S104.
  • the ambient temperature has a great influence on the charge and discharge performance of the battery, because the electrochemical reaction in the electrode/electrolyte interface is related to the ambient temperature.
  • the reaction rate of the electrode will drop.
  • the power output of the battery will naturally decrease. If the temperature rises, the opposite will happen, and the battery output power will rise.
  • the usable full charge capacity of the battery refers to the current total capacity of the battery of the terminal device.
  • the terminal device may be a mobile phone, a tablet, a computer, a personal computer, a wearable device, and the like.
  • the predicted charging temperature of the battery may be determined according to the starting temperature of the battery, the current impedance value and the current charging current.
  • an adjustment coefficient for adjusting the available fully charged capacity is determined, and the adjustment coefficient is denoted as Z(T cell ).
  • Z(T cell ) There is a mapping relationship between the predicted charging temperature of the battery and the adjustment coefficient for adjusting the fully charged capacity that can be used at the predicted charging temperature.
  • the adjustment coefficient for adjusting the usable full charge capacity at any charge prediction temperature of the battery can be obtained from the mapping relationship table or the mapping relationship function between the charging prediction temperature and the adjustment coefficient.
  • the depth of discharge when the battery is fully charged is used as the first reference depth of discharge, denoted as DOD full
  • DOD end the depth of discharge when the battery discharge ends
  • Q max the maximum chemical capacity of the battery is obtained.
  • the depth of discharge (Depth of discharge, DOD) refers to the percentage of the electric quantity taken out from the battery to the rated capacity.
  • the chemical capacity of the battery is one of the important performance indicators to measure the performance of the battery. It indicates the amount of electricity released by the battery under certain conditions (discharge rate, temperature, termination voltage, etc.).
  • the usable full charge capacity of the battery of the terminal device is easy to change with the aging of the battery and the current ambient temperature.
  • battery aging means that the battery has been repeatedly charged (that is, the number of charging cycles (cycle count)) more than hundreds of times
  • the current ambient temperature means the temperature when the battery is actually charged. Obtaining the accurate usable full charge capacity of the battery can more accurately determine when the battery should stop receiving charging power.
  • the updated target usable full charge capacity is determined.
  • the formula for determining the fully charged capacity that can be used for the updated target can be expressed as:
  • FCC means that the battery can be fully charged after updating.
  • the state of charge of the battery can be displayed on the terminal device, and the current state of charge of the battery can be provided to the user in real time, so that the user can know the state of charge of the battery of the terminal device at the current moment in real time.
  • the state of charge of the battery is determined based on the current fully charged capacity of the battery, and in different states of charge, the charging parameters of the battery are different.
  • the fully charged capacity can be used, and the charging parameters of the battery can be adjusted.
  • the charging parameters of the battery may include the charging voltage and charging current of the battery, or the actual state of charge may be displayed on the terminal device, so as to make the charging quantity of the battery more accurate.
  • the charging voltage of the battery is V1
  • the charging current of the battery is I1
  • the state of charge of the battery is 80% to 100%
  • the charging voltage of the battery V2 the charging current of the battery is I2.
  • the embodiment of the present application proposes a battery state monitoring method, by obtaining the charging forecast temperature of the battery during the charging process of the terminal device; according to the charging forecast temperature, determine the adjustment coefficient used to adjust the fully charged The first reference depth of discharge during charging, the second reference depth of discharge at the end of discharge, and the maximum chemical capacity of the battery; according to the adjustment coefficient, the first reference depth of discharge, the second reference depth of discharge, and the maximum chemical capacity, the charging process
  • the available full charge capacity of the battery is updated, so as to adjust the charging parameters of the battery according to the updated target available full charge capacity.
  • the battery state monitoring method proposed in the embodiment of the present application updates the usable full charge capacity of the battery during the charging process based on the predicted charging temperature of the battery, which solves the problem in the prior art that the battery is not fully charged due to temperature changes, so that The charging power is more accurate, which brings a better user experience.
  • Fig. 2 is an exemplary implementation of a battery state monitoring method proposed by the present application. As shown in Fig. 2, based on the above-mentioned embodiments, obtaining the charging predicted temperature of the battery during the charging process of the terminal device includes the following steps S201 Go to step S204.
  • the initial temperature T 0 at which the battery starts charging and the actual temperature T of the battery during charging can be obtained by an NTC temperature sensor (Negative Temperature Coefficient Sensor).
  • the NTC temperature sensor is a thermistor and probe, and its principle is: the resistance value drops rapidly as the temperature rises.
  • the battery of the terminal equipment includes a battery management system (BATTERY MANAGEMENT SYSTEM, BMS).
  • BMS battery management system
  • the main function of the BMS is to intelligently manage and maintain each battery unit, prevent the battery from overcharging and overdischarging, prolong the service life of the battery, and monitor the state of the battery .
  • the charging voltage and charging current of the battery can be collected through the BMS.
  • the transient model of the battery obtains the first charging current I in the time interval between the last first state of charge, and based on the multiple first charging currents I in the interval, the multiple first charging currents I Averaging is performed to determine the average charging current I average over the interval.
  • the time interval between the first state of charge at the current moment and the previous first state of charge can be set as 2 seconds, and the first charging current I is collected 4 times per second.
  • the current state of charge of the battery is corrected to obtain the corrected actual state of charge of the battery as the first state of charge.
  • S203 Determine a first impedance value corresponding to the battery according to the measured temperature, the first charging current, and the first state of charge.
  • Figure 3 is a schematic diagram of the charging open circuit voltage (Open circuit voltage, OCV) curve of the battery, which shows the OCV curve of the battery when the battery is in the charging state, and shows the potential difference between the two poles when the battery is not discharged and the open circuit is related to the battery load state
  • OCV Open circuit voltage
  • Table 1 is the charging impedance value corresponding to different charging currents at the preset temperature. As shown in Table 1, according to the measured temperature T and the first charging current I, the first impedance value of the first charging impedance point is determined, and the first The impedance value is expressed as R DCR (SOC,T).
  • the charging prediction temperature is determined, wherein the formula of the charging prediction temperature can be expressed as:
  • T cell f(I, R DCR (SOC, T), T 0 )
  • the battery state monitoring method proposed in the embodiment of the present application solves the problem in the prior art that the battery is not fully charged due to temperature changes, and brings better user experience.
  • Fig. 4 is an exemplary implementation of a battery state monitoring method proposed by the present application. As shown in Fig. 4 , based on the above embodiments, the battery state monitoring method further includes the following steps S401 to S403.
  • S402. Determine whether the first charging voltage of the battery collected during the charging process satisfies the voltage condition of one of the charging impedance points.
  • Each impedance point corresponds to a voltage interval.
  • the initial battery charge Q start at the start of battery charging is obtained, and according to the charging quantity and the initial battery charge Q start when the battery charging starts, determine the target remaining capacity (Remaining Capacity, RM) of the battery after updating.
  • the formula for determining the target remaining capacity RM of the battery after updating is:
  • the acquired first charging voltage V 1 (n) of the battery satisfies the voltage of one of the charging impedance points According to the actual measured temperature T 1 (n) and the first SOC of the battery, and according to the actual measured temperature T 1 (n) of the battery and the first state of charge, the third impedance value of one of the charging impedance points is obtained and the third impedance value is recorded as is R 1 (n).
  • the first depth of discharge of the battery when the first charging voltage V 1 (n) of the battery satisfies the voltage condition of one of the charging impedance points, and record the first depth of discharge as DOD n .
  • the predicted remaining capacity of the battery is determined, wherein the formula for the predicted remaining capacity of the battery is expressed as:
  • the unusable remaining capacity of the battery In addition to determining the predicted remaining capacity of the battery, it is also necessary to determine the unusable remaining capacity of the battery, and obtain the initial impedance value R(0) of the initial charging of the battery. According to the initial impedance value R(0) of the initial charging of the battery and the measured temperature T 1 (n) and the second reference depth of discharge DOD end at the end of battery discharge to determine the unusable remaining capacity of the battery.
  • the formula of the unusable remaining capacity of the battery is expressed as:
  • the target remaining capacity is determined, wherein the formula of the target remaining capacity RM 1 of the battery is expressed as:
  • RM 1 f(DOD n , T 1 (n), R 1 (n))-f(DOD end , T 1 (n), R(0))
  • the embodiments of the present application update the usable full charge capacity of the battery by determining the target remaining capacity of the battery, which solves the problem in the prior art that the battery is not fully charged due to temperature changes, makes the charging power more accurate, and brings better user experience.
  • FIG. 5 is an exemplary implementation of a battery state monitoring method proposed in the present application. As shown in FIG. 5 , the battery state monitoring method further includes the following steps S501 to S506.
  • the second charging voltage V 2 (n) determines the second open circuit voltage OCV(full) when fully charged, wherein the battery is fully charged
  • the calculation formula of the second open circuit voltage OCV(full) at the time is:
  • the second depth of discharge when fully charged is determined.
  • the second depth of discharge is equal to the first reference depth of discharge DOD full when the battery is fully charged.
  • S504. Determine the fully charged predicted remaining capacity of the battery according to the fourth impedance value, the measured temperature, and the second depth of discharge.
  • the fully charged predicted remaining capacity of the battery can be expressed as:
  • S505. Determine the unusable remaining capacity of the battery according to the initial impedance value at the beginning of battery charging, the measured temperature, and the second reference depth of discharge at the end of battery discharge.
  • the unusable remaining capacity of the battery determines the unusable remaining capacity of the battery, and the unusable remaining capacity is the battery discharge At the end there is still power that cannot be discharged.
  • the unusable remaining capacity of the battery can be expressed as:
  • RM 2 f(DOD full , T 2 (n), R 2 (n))-f(DOD end , T 2 (n), R(0))
  • the embodiments of the present application update the fully charged and usable fully charged capacity of the battery by determining the remaining capacity of the battery, which solves the problem in the prior art that the battery is not fully charged due to temperature changes, making the charging power more accurate and bringing better results. user experience.
  • FIG. 6 is an exemplary implementation of a battery state monitoring method proposed in the present application. As shown in FIG. 6 , the battery state monitoring method further includes the following steps S601 to S603.
  • the process from the current charging moment when the battery starts to charge to the end of the entire battery charging is regarded as a combination of multiple charging stages, and the charging stages included in the battery charging process are obtained, and the stage impedance value corresponding to each charging stage is obtained, and each The stage impedance values corresponding to the charging stage are respectively recorded as R(1), R(2), R(3)...R(t) in order; the charging current corresponding to each charging stage is recorded in order as I( 1), I(2), I(3)...I(t); record the initial temperature corresponding to each charging stage as T(1), T(2), T(3)... T(t).
  • the formula of the charging prediction temperature in the tth charging stage is expressed as:
  • the charging quantity corresponding to each charging stage is recorded as Q(1), Q(2), Q(3)...Q(t) in sequence; from the above, the charging current corresponding to each charging stage is divided into The sequence is respectively recorded as I(1), I(2), I(3)...I(t).
  • the basic charging duration of the charging stage is obtained, where the basic charging duration of the t-th charging stage is Similarly, the basic charging time of the first charging stage is The basic charging time of the second charging stage is Other charging stages can be deduced in the same way, and will not be repeated here.
  • the basic charging time is corrected according to the predicted charging temperature in the charging phase to obtain the predicted charging time in the charging phase.
  • the corresponding predicted charging temperature is T(1)
  • the corresponding basic charging time is The correction of the basic charging time according to the predicted charging temperature in the charging stage.
  • the current charging stage of the battery is monitored, and based on the current charging stage and the predicted charging duration of the remaining charging stage, the remaining charging duration R t of the battery is determined.
  • the formula of the remaining charging time of the battery can be expressed as:
  • the embodiment of the present application monitors the current charging stage of the battery, and determines the remaining charging time of the battery based on the current charging stage and the predicted charging duration of the remaining charging stage, so as to realize accurate estimation of the charging time of the battery. Improve user experience.
  • Fig. 7 is a schematic diagram of a battery state monitoring device proposed in the present application.
  • the battery state monitoring device 700 includes a first acquisition module 71, a determination module 72, a second acquisition module 73 and an update module 74, of which:
  • the first obtaining module 71 is configured to obtain the charging predicted temperature of the battery during the charging process of the terminal device.
  • the first determination module 72 is configured to determine an adjustment coefficient for adjusting the usable fully charged capacity according to the predicted charging temperature.
  • the second acquisition module 73 is configured to acquire the first reference depth of discharge when the battery is fully charged, the second reference depth of discharge when the discharge ends, and the maximum chemical capacity of the battery.
  • the update module 74 is used to update the usable full charge capacity of the battery in the charging process according to the adjustment coefficient, the first reference depth of discharge, the second reference depth of discharge and the maximum chemical capacity, so that the fully usable capacity of the battery can be used according to the updated target Charging capacity, to adjust the charging parameters of the battery.
  • the first acquisition module 71 is also used to: acquire the initial temperature at which the battery starts charging and the actual temperature of the battery during the charging process; acquire the first charging current and the first state of charge of the battery during the charging process; , the first charging current and the first state of charge, determine the first impedance value corresponding to the battery; determine the charging prediction temperature according to the initial temperature, the first impedance value and the first charging current.
  • the first acquisition module 71 is also used to: determine the first open circuit voltage corresponding to the first state of charge based on the charging open circuit voltage curve of the battery; determine the first charging impedance point corresponding to the battery according to the first open circuit voltage; The measured temperature and the first charging current determine the first impedance value of the first charging impedance point.
  • the first acquisition module 71 is also configured to: acquire the first charging current in the time interval from the previous first state of charge, and determine the average charging current in the interval based on the first charging current in the interval current; obtain the second charging impedance point corresponding to the current first charging voltage, and determine the second impedance value of the second charging impedance point according to the current measured temperature and the average charging current; according to the current first charging voltage, the average charging current and the second The impedance value determines the current actual open circuit voltage; based on the current actual open circuit voltage, the current state of charge of the battery is corrected to obtain the first state of charge.
  • the battery state monitoring device 700 also includes a second determination module 75, and the second determination module 75 is used for: performing Coulomb integration on the first charging current of the battery during the charging process to obtain the charging quantity; Whether the first charging voltage of the battery satisfies the voltage condition of one of the charging impedance points; if the first charging voltage of the battery does not meet the voltage condition of one of the charging impedance points, then according to the charging quantity and the initial quantity of battery charging, determine the battery The updated target remaining capacity.
  • the second determination module 75 is also used for: if the first charging voltage of the battery collected during the charging process satisfies the voltage condition of one of the charging impedance points, obtain one of the charging impedance points according to the measured temperature and the first state of charge The third impedance value at the point; according to the third impedance value, the measured temperature and the first depth of discharge of the battery, determine the predicted remaining capacity of the battery; according to the initial impedance value of the battery charging start, the measured temperature and the second Determining the unusable remaining capacity of the battery with reference to the depth of discharge; determining the target remaining capacity based on the predicted remaining capacity and the unusable remaining capacity.
  • the battery state monitoring device 700 also includes a third determination module 76, and the third determination module 76 is configured to obtain the second charging voltage, the second charging current and The fourth impedance value; according to the second charging voltage, the second charging current and the fourth impedance value, determine the second open circuit voltage when fully charged; determine the second discharge depth when fully charged according to the second open circuit voltage; according to the fourth Impedance value, measured temperature and second depth of discharge to determine the fully charged and predicted remaining capacity of the battery; determine the unusable remaining capacity of the battery based on the initial impedance value at the beginning of battery charging, the measured temperature and the second reference depth of discharge at the end of battery discharge Capacitance: Based on the fully charged predicted remaining capacity and unusable remaining capacity, it is determined that the fully charged capacity of the battery can be fully charged.
  • the battery state monitoring device 700 also includes a fourth determination module 77, the fourth determination module 77 is used to: obtain the charging stage included in the battery charging process and the predicted charging temperature of the charging stage; Stage charging current; for each charging stage, based on the predicted charging temperature, stage charging capacity and stage charging current of the charging stage, the predicted charging time of the charging stage is obtained; the current charging stage of the battery is monitored, and based on the current charging stage The predicted charging duration of the charging phase and the remaining charging phase determine the remaining charging duration of the battery.
  • the fourth determination module 77 is also configured to: obtain the stage impedance value corresponding to the charging stage; and obtain the predicted charging temperature of the charging stage based on the stage impedance value, initial temperature and stage charging current of the charging stage.
  • the fourth determination module 77 is also used to: obtain the basic charging duration of the charging stage based on the stage charging quantity and the stage charging current; correct the basic charging duration according to the predicted charging temperature of the charging stage, and obtain the predicted charging period of the charging stage duration.
  • the embodiment of the present application also proposes an electronic device 800. As shown in FIG. Instructions executed by the processor, the instructions are executed by at least one processor 801 to implement the method for monitoring the battery state as shown in the above embodiments.
  • the embodiments of the present application also propose a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to implement the battery state monitoring method as shown in the above embodiments.
  • the embodiments of the present application further propose a computer program product, including a computer program, and when the computer program is executed by a processor, the battery state monitoring method as shown in the above embodiments is implemented.
  • first and second are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as “first” and “second” may explicitly or implicitly include one or more of these features.
  • “plurality” means two or more, unless otherwise specifically defined.

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Abstract

一种电池状态的监控方法及其装置，通过获取终端设备充电过程中电池的充电预测温度(S101)；根据充电预测温度确定用于对可使用满充电容进行调整的调整系数(S102)；获取电池满充时的第一参考放电深度、放电结束时的第二参考放电深度和电池的最大化学容量(S103)；根据调整系数、第一参考放电深度、第二参考放电深度和最大化学容量对充电过程中的电池的可使用满充电容进行更新，以根据更新后的目标可使用满充电容对电池的充电参数进行调整(S104)。

Description

电池状态的监控方法及其装置
相关申请的交叉引用
本申请基于申请号为202111629187.8、申请日为2021年12月28日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本申请涉及电池技术领域，尤其涉及一种电池状态的监控方法及其装置。
背景技术
相关技术中，在对电池进行充电前，如果有低温放电或者重载放电，会导致满充容量(FULL Charge Capacity，FCC)偏小，而在充电的初始，若FCC未进行更新，会导致充电提前报百，而实际手机没有充满的问题，并且随着电池的老化，电量计精度越来越差。
发明内容
本申请旨在至少在一定程度上解决相关技术中的技术问题之一。
为此，本申请的一个目的在于提出一种电池状态的监控方法，通过获取终端设备充电过程中电池的充电预测温度；根据所述充电预测温度，确定用于对可使用满充电容进行调整的调整系数；获取所述电池满充时的第一参考放电深度、放电结束时的第二参考放电深度和所述电池的最大化学容量；根据所述调整系数、所述第一参考放电深度、所述第二参考放电深度和所述最大化学容量，对充电过程中的所述电池的可使用满充电容进行更新，以根据更新后的目标可使用满充电容，对所述电池的充电参数进行调整。
根据本申请的一个实施例，所述获取终端设备充电过程中电池的充电预测温度，包括：获取所述电池开始充电的起始温度和充电过程中所述电池的实测温度；获取所述电池充电过程中的第一充电电流和第一荷电状态；根据所述实测温度、所述第一充电电流和所述第一荷电状态，确定所述电池对应的第一阻抗值；根据所述起始温度、所述第一阻抗值和所述第一充电电流，确定所述充电预测温度。
根据本申请的一个实施例，所述根据所述实测温度、所述第一充电电流和所述第一荷电状态，确定所述电池对应的第一阻抗值，包括：基于所述电池的充电开路电压曲线，确定所述第一荷电状态对应的第一开路电压；根据所述第一开路电压确定所述电池对应的第一充电阻抗点；根据所述实测温度和所述第一充电电流，确定所述第一充电阻抗点的第一阻抗值。
根据本申请的一个实施例，第一荷电状态获取过程，包括：获取与上一个所述第一荷电状态之间的时间间隔内的第一充电电流，并基于所述间隔间的第一充电电流，确定所述间隔内的平均充电电流；获取当前所述第一充电电压对应的第二充电阻抗点，并根据当前所述实测温度和所述平均充电电流确定所述第二充电阻抗点的第二阻抗值；根据当前所述第一充电电压、所述平均充电电流和所述第二阻抗值，确定当前的实际开路电压；基于所述当前的实际开路电压，对所述电池的当前荷电状态进行修正，得到所述第一荷电状态。
根据本申请的一个实施例，所述方法还包括：对充电过程中所述电池的第一充电电流进行库仑积分，获取所述充电电量；判断充电过程中采集到所述电池的第一充电电压是否满足其中一个充电阻抗点的电压条件；若所述电池的第一充电电压未满足其中一个充电阻抗点的电压条件，则根据所述充电电量和所述电池充电开始时的起始电量，确定所述电池更新后的目标剩余容量。
根据本申请的一个实施例，所述方法还包括：若充电过程中采集到所述电池的第一充电电压满足其中一个充电阻抗点的电压条件，根据所述实测温度和所述第一荷电状态，获取所述其中一个充电阻抗点的第三阻抗值；根据所述第三阻抗值、所述实测温度和所述电池的第一放电深度，确定所述电池的预测剩余容量；根据所述电池充电起始的初始阻抗值、所述实测温度和所述电池放电结束时的第二参考放电深度，确定所述电池的不可用剩余容量；基于所述预测剩余容量和所述不可用剩余容量，确定所述目标剩余容量。
根据本申请的一个实施例，所述方法还包括：响应于所述电池满足满充截止条件，获取所述电池满充时的第二充电电压、第二充电电流和第四阻抗值；根据所述第二充电电压、所述第二充电电流和所述第四阻抗值，确定所述满充时的第二开路电压；根据所述第二开路电压，确定所述满充时的第二放电深度；根据所述第四阻抗值、所述实测温度和所述第二放电深度，确定所述电池的满充预测剩余容量；根据所述电池充电起始的初始阻抗值、所述实测温度和所述电池放电结 束时的第二参考放电深度，确定所述电池的不可用剩余容量；基于所述满充预测剩余容量和所述不可用剩余容量，确定所述电池的满充可使用满充电容。
根据本申请的一个实施例，所述方法还包括：获取所述电池充电过程包括的充电阶段及所述充电阶段的预测充电温度；获取所述充电阶段对应的阶段充电电量和阶段充电电流；针对每个所述充电阶段，基于所述充电阶段的预测充电温度、所述阶段充电电量和阶段充电电流，获取所述充电阶段的预测充电时长；对所述电池当前所处的充电阶段进行监控，并基于所述当前所处的充电阶段和剩余充电阶段的预测充电时长，确定所述电池的剩余充电时长。
根据本申请的一个实施例，所述获取所述充电阶段的预测充电温度，包括：获取所述充电阶段对应的阶段阻抗值；基于所述充电阶段的阶段阻抗值、所述起始温度和所述阶段充电电流，获取所述充电阶段的预测充电温度。
根据本申请的一个实施例，所述基于所述充电阶段的预测充电温度、所述阶段充电电量和阶段充电电流，获取所述充电阶段的预测充电时长，包括：基于所述阶段充电电量和所述阶段充电电流，获取所述充电阶段的基础充电时长；根据所述充电阶段的预测充电温度对所述基础充电时长进行修正，获取所述充电阶段的预测充电时长。
为达上述目的，本申请第二方面实施例提出了一种电池状态的监控装置，包括：第一获取模块，用于获取终端设备充电过程中电池的充电预测温度；第一确定模块，用于根据所述充电预测温度，确定用于对可使用满充电容进行调整的调整系数；第二获取模块，用于获取所述电池满充时的第一参考放电深度、放电结束时的第二参考放电深度和所述电池的最大化学容量；更新模块，用于根据所述调整系数、所述第一参考放电深度、所述第二参考放电深度和所述最大化学容量，对充电过程中的所述电池的可使用满充电容进行更新，以根据更新后的目标可使用满充电容，对所述电池的充电参数进行调整。
根据本申请的一个实施例，所述第一获取模块，还用于：获取所述电池开始充电的起始温度和充电过程中所述电池的实测温度；获取所述电池充电过程中的第一充电电流和第一荷电状态；根据所述实测温度、所述第一充电电流和所述第一荷电状态，确定所述电池对应的第一阻抗值；根据所述起始温度、所述第一阻抗值和所述第一充电电流，确定所述充电预测温度。
根据本申请的一个实施例，所述第一获取模块，还用于：基于所述电池的充电开路电压曲线，确定所述第一荷电状态对应的第一开路电压；根据所述第一开路电压确定所述电池对应的第一充电阻抗点；根据所述实测温度和所述第一充电电流，确定所述第一充电阻抗点的第一阻抗值。
根据本申请的一个实施例，所述第一获取模块，还用于：获取与上一个所述第一荷电状态之间的时间间隔内的第一充电电流，并基于所述间隔间的第一充电电流，确定所述间隔内的平均充电电流；获取当前所述第一充电电压对应的第二充电阻抗点，并根据当前所述实测温度和所述平均充电电流确定所述第二充电阻抗点的第二阻抗值；根据当前所述第一充电电压、所述平均充电电流和所述第二阻抗值，确定当前的实际开路电压；基于所述当前的实际开路电压，对所述电池的当前荷电状态进行修正，得到所述第一荷电状态。
根据本申请的一个实施例，所述装置还包括第二确定模块，所述第二确定模块用于：对充电过程中所述电池的第一充电电流进行库仑积分，获取所述充电电量；判断充电过程中采集到所述电池的第一充电电压是否满足其中一个充电阻抗点的电压条件；若所述电池的第一充电电压未满足其中一个充电阻抗点的电压条件，则根据所述充电电量和所述电池充电开始时的起始电量，确定所述电池更新后的目标剩余容量。
根据本申请的一个实施例，所述第二确定模块，还用于：若充电过程中采集到所述电池的第一充电电压满足其中一个充电阻抗点的电压条件，根据所述实测温度和所述第一荷电状态，获取所述其中一个充电阻抗点的第三阻抗值；根据所述第三阻抗值、所述实测温度和所述电池的第一放电深度，确定所述电池的预测剩余容量；根据所述电池充电起始的初始阻抗值、所述实测温度和所述电池放电结束时的第二参考放电深度，确定所述电池的不可用剩余容量；基于所述预测剩余容量和所述不可用剩余容量，确定所述目标剩余容量。
根据本申请的一个实施例，所述装置还包括第三确定模块，所述第三确定模块用于：响应于所述电池满足满充截止条件，获取所述电池满充时的第二充电电压、第二充电电流和第四阻抗值；根据所述第二充电电压、所述第二充电电流和所述第四阻抗值，确定所述满充时的第二开路电压；根据所述第二开路电压，确定所述满充时的第二放电深度；根据所述第四阻抗值、所述实测温度和所述第二放电深度，确定所述电池的满充预测剩余电容；根据所述电池充电起始的初始阻抗值、所述实测温度和所述电池放电结束时的第二参考放电深度，确定所述电池的不可用剩余电容；基于所述满充预测剩余电容和所述不可用剩余电容，确定所述电池的满充可使用满充电容。
根据本申请的一个实施例，所述装置还包括第四确定模块，所述第四确定模块用于：获取所述电池充电过程包括的充电阶段及所述充电阶段的预测充电温度；获取所述充电阶段对应的阶段充电电量和阶段充电电流；针对每个所述充电阶段，基于所述充电阶段的预测充电温度、所述阶段充电电量和阶段充电电流，获取所述充电阶段的预测充电时长；对所述电池当前所处的充电阶段进行监控，并基于所述当前所处的充电阶段和剩余充电阶段的预测充电时长，确定所述电池的剩余充电时长。
根据本申请的一个实施例，所述第四确定模块，还用于：获取所述充电阶段对应的阶段阻抗值；基于所述充电阶段的阶段阻抗值、所述起始温度和所述阶段充电电流，获取所述充电阶段的预测充电温度。
根据本申请的一个实施例，所述第四确定模块，还用于：基于所述阶段充电电量和所述阶段充电电流，获取所述充电阶段的基础充电时长；根据所述充电阶段的预测充电温度对所述基础充电时长进行修正，获取所述充电阶段的预测充电时长。
为达上述目的，本申请第三方面实施例提出了一种电子设备，包括：至少一个处理器；以及与所述至少一个处理器通信连接的存储器；其中，所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以实现如本申请第一方面实施例所述的电池状态的监控方法。
为达上述目的，本申请第四方面实施例提出了一种存储有计算机指令的非瞬时计算机可读存储介质，其中，所述计算机指令用于实现如本申请第一方面实施例所述的电池状态的监控方法。
为达上述目的，本申请第五方面实施例提出了一种计算机程序产品，包括计算机程序，所述计算机程序在被处理器执行时实现如本申请第一方面实施例所述的电池状态的监控方法。
附图说明
图1是本申请一个实施例的一种电池状态的监控方法的示意图。
图2是本申请一个实施例的获取终端设备充电过程中电池的充电预测温度的示意图。
图3是本申请一个实施例的电池的充电开路电压曲线的示意图。
图4是本申请一个实施例的确定电池更新后的目标剩余容量的示意图。
图5是本申请一个实施例的确定满充可使用满充电容的示意图。
图6是本申请一个实施例的获取充电阶段的预测充电时长的示意图。
图7是本申请一个实施例的一种电池状态的监控装置的示意图。
图8是本申请一个实施例的一种电子设备的示意图。
具体实施方式
下面详细描述本申请的实施例，所述实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，旨在用于解释本申请，而不能理解为对本申请的限制。
图1是本申请提出的一种电池状态的监控方法的示例性实施方式，如图1所示，该电池状态的监控方法，包括以下步骤S101至步骤S104。
S101，获取终端设备充电过程中电池的充电预测温度。
环境温度对电池的充放电性能影响较大，因为在电极/电解液界面中的电化学反应与环境温度有关，当温度下降，电极的反应速率就会下降。假设电池电压不变，放电电流降低，电池的功率输出自然也会下降。如果温度上升则相反，则电池输出功率就会上升。
由于环境温度对电池的可使用满充电容(FULL Charge Capacity，FCC)的影响较大，在需要对电池的可使用满充电容进行更新时，为了使得更新的电池的可使用满充电容更准确，需要获取终端设备充电过程中电池的充电预测温度。其中，电池的可使用满充电容指的是终端设备的电池当前的总容量。在一些实施例中，终端设备可为手机、平板、电脑、个人计算机、可穿戴设备等。
其中，由于电池在充电过程中会升温，为准确获取电池的可使用满充电容，需要基于当前时刻预测的电池未来时刻的电池环境温度。在一些实施例中，在获取终端设备充电过程中电池的充电预测温度时，可根据电池的起始温度、当前阻抗值和当前充电电流，确定电池的充电预测温度。
S102，根据充电预测温度，确定用于对可使用满充电容进行调整的调整系数。
根据上述确定的电池的充电预测温度，确定用于对可使用满充电容进行调整的调整系数，将调整系 数记为Z(T cell)。其中，电池的充电预测温度与该充电预测温度下对可使用满充电容进行调整的调整系数存在有映射关系。在一些实施例中，可由充电预测温度与调整系数的映射关系表或者充电预测温度与调整系数的映射关系函数，获取电池的任一充电预测温度下对可使用满充电容进行调整的调整系数。
S103，获取电池满充时的第一参考放电深度、放电结束时的第二参考放电深度和电池的最大化学容量。
将电池满充时的放电深度作为第一参考放电深度，记作DOD full，将电池放电结束时的放电深度作为第二参考放电深度，记作DOD end，并获取电池的最大化学容量，记作Q max。其中，放电深度(Depth of discharge，DOD)指从电池取出电量占额定容量的百分比。电池的化学容量是衡量电池性能的重要性能指标之一，它表示在一定条件下(放电率、温度、终止电压等)电池放出的电量。
S104，根据调整系数、第一参考放电深度、第二参考放电深度和最大化学容量，对充电过程中的电池的可使用满充电容进行更新，以根据更新后的目标可使用满充电容，对电池的充电参数进行调整。
终端设备的电池的可使用满充电容很容易随着电池老化与当下环境温度而改变。其中，电池老化是表示电池被重复充电(即充电周期次数(cyclecount))数百次以上，当下环境温度是表示电池实际充电时的温度。获取电池准确的可使用满充电容，能够更准确的确定电池应该何时停止接收充电电力。
根据上述确定的调整系数Z(T cell)、第一参考放电深度DOD full、第二参考放电深度DOD end和最大化学容量Q max，确定更新后的目标可使用满充电容。其中，确定更新后的目标可使用满充电容的公式可表示为：
FCC＝Z(T cell)*(DOD full-DOD end)*Q max
上式中，FCC表示电池更新后的目标可使用满充电容。
电池的荷电状态可以在终端设备上进行显示，可以实时地提供给用户当前电池的荷电状态，使得用户实时了解当前时刻终端设备的电池的荷电状态。在实际中，电池的荷电状态是基于电池的当前的使用满充电容决定的，并且在不同的荷电状态下，电池的充电参数是不同的。
根据电池更新后的目标可使用满充电容，可以对电池的充电参数进行调整。在一些实施例中，电池的充电参数可包括电池的充电电压，充电电流或者终端设备上可以显示实际的荷电状态等，以使得电池的充电电量更加准确。示例性的，当电池的荷电状态为30％～50％时，电池的充电电压为V1，电池的充电电流为I1；当电池的荷电状态为80％～100％时，电池的充电电压为V2，电池的充电电流为I2。
本申请实施例提出了一种电池状态的监控方法，通过获取终端设备充电过程中电池的充电预测温度；根据充电预测温度，确定用于对可使用满充电容进行调整的调整系数；获取电池满充时的第一参考放电深度、放电结束时的第二参考放电深度和电池的最大化学容量；根据调整系数、第一参考放电深度、第二参考放电深度和最大化学容量，对充电过程中的电池的可使用满充电容进行更新，以根据更新后的目标可使用满充电容，对电池的充电参数进行调整。本申请实施例提出的电池状态监控方法，基于电池的充电预测温度对充电过程中的电池的可使用满充电容进行更新，解决了现有技术中电池因温度变化导致充电充不满的问题，使得充电电量更加准确，带来了更好的用户体验。
图2是本申请提出的一种电池状态的监控方法的示例性实施方式，如图2所示，基于上述实施例的基础上，获取终端设备充电过程中电池的充电预测温度，包括以下步骤S201至步骤S204。
S201，获取电池开始充电的起始温度和充电过程中电池的实测温度。
获取电池开始充电的起始温度T 0和充电过程中电池的实测温度T。其中，获取电池的起始温度T 0和实测温度T可由NTC温度传感器(Negative Temperature Coefficient Sensor)获取。其中，NTC温度传感器是一种热敏电阻、探头，其原理为：电阻值随着温度上升而迅速下降。
S202，获取电池充电过程中的第一充电电流和第一荷电状态。
获取电池充电过程中的第一充电电流I和第一荷电状态(State Of Charge，SOC)。终端设备的电池中包括电池管理系统(BATTERY MANAGEMENT SYSTEM，BMS)，该BMS主要功能为智能化管理及维护各个电池单元，防止电池出现过充电和过放电，延长电池的使用寿命，监控电池的状态。本公开实施例中可以通过该BMS可以采集电池的充电电压和充电电流。
进一步地，为了实现在不同充电电流下，对电池极化进行及时补偿，并补偿后通过开路电压及时校准第一荷电状态，需要建立电池的瞬态模型获取电池的第一荷电状态。其中，电池的瞬态模型获取与上 一个第一荷电状态之间的时间间隔内的第一充电电流I，并基于间隔间的多个第一充电电流I，对多个第一充电电流I进行平均，确定间隔内的平均充电电流I average。示例性的，当前时刻的第一荷电状态与上一个第一荷电状态之间的时间间隔可设置为2秒，每秒采集4次第一充电电流I。
获取当前第一充电电压V对应的第二充电阻抗点，并根据当前实测温度T和平均充电电流I average确定第二充电阻抗点的第二阻抗值R,并根据当前第一充电电压V、平均充电电流I average和第二阻抗值R，确定当前的实际开路电压，其中，瞬态模型确定第t时刻的实际开路电压的公式为：
OCV(t)＝V(t)-I average(t)R(t)
基于上述确定的当前的实际开路电压，对电池的当前荷电状态进行修正，得到电池的修正后的实际荷电状态，作为第一荷电状态。
S203，根据实测温度、第一充电电流和第一荷电状态，确定电池对应的第一阻抗值。
图3是电池的充电开路电压(Open circuit voltage，OCV)曲线的示意图，表示了电池在充电状态下，电池的OCV曲线，表示了电池不放电开路时两极之间的电位差，与电池载荷状态的对应关系，如图3所示，查询电池的充电OCV曲线示意图，确定第一荷电状态对应的第一开路电压，并根据第一开路电压确定电池对应的第一充电阻抗点。
表1是在预设温度下，不同充电电流对应的充电阻抗值，如表1所示，根据实测温度T和第一充电电流I，确定第一充电阻抗点的第一阻抗值，将第一阻抗值表示为R DCR(SOC,T)。
表1 预设温度下，不同充电电流对应的充电阻抗值
极化 I 1 I 2 I 3 …… I m
R 1 R 11 R 12 R 13 …… R 1m
R 2 R 21 R 22 R 23 …… R 2m
R 3 R 31 R 32 R 33 …… R 3m
R 4 R 41 R 42 R 43 …… R 4m
R 5 R 51 R 52 R 53 …… R 5m
R 6 R 61 R 62 R 63 …… R 6m
R 7 R 71 R 72 R 73 …… R 7m
R 8 R 81 R 82 R 83 …… R 8m
R 9 R 91 R 92 R 93 …… R 9m
S204，根据起始温度、第一阻抗值和第一充电电流，确定充电预测温度。
根据上述确定的起始温度T 0、第一阻抗值R DCR(SOC,T)和第一充电电流I，确定充电预测温度，其中，可将充电预测温度的公式表示为：
T cell＝f(I，R DCR(SOC,T)，T 0)
本申请实施例提出的电池状态监控方法，解决了现有技术中电池因温度变化导致充电充不满的问题，带来了更好的用户体验。
图4是本申请提出的一种电池状态的监控方法的示例性实施方式，如图4所示，基于上述实施例的基础上，该电池状态的监控方法，还包括以下步骤S401至步骤S403。
S401，对充电过程中电池的第一充电电流进行库仑积分，获取充电电量。
对充电过程中电池的第一充电电流I进行库仑积分，获取充电电量，其中，充电电量可表示为
Figure PCTCN2022090808-appb-000001
S402，判断充电过程中采集到电池的第一充电电压是否满足其中一个充电阻抗点的电压条件。
每个阻抗点对应一个电压区间，在电池充电过程中，将采集到电池的第一充电电压与每个充电阻抗点的电压区间进行对比，看电池充电过程中采集到电池的第一充电电压是否处于其中一个充电阻抗点的电压区间内。
S403，若电池的第一充电电压未满足其中一个充电阻抗点的电压条件，则根据充电电量和电池充电开始时的起始电量，确定电池更新后的目标剩余容量。
若电池的第一充电电压不处于其中任何一个充电阻抗点的电压区间内，则获取电池充电开始时的起始电量Q start，根据充电电量
Figure PCTCN2022090808-appb-000002
和电池充电开始时的起始电量Q start，确定电池更新后的目标剩余容量(Remaining Capacity，RM)。其中，确定电池更新后的目标剩余容量RM的公式为：
Figure PCTCN2022090808-appb-000003
进一步地，若充电过程中采集到电池的第一充电电压V 1(n)满足其中一个充电阻抗点的电压条件，获取电池的第一充电电压V 1(n)满足其中一个充电阻抗点的电压条件时的实测温度T 1(n)和第一SOC，并根据电池的实测温度T 1(n)和第一荷电状态，获取其中一个充电阻抗点的第三阻抗值将第三阻抗值记为R 1(n)。获取电池的第一充电电压V 1(n)满足其中一个充电阻抗点的电压条件时电池的第一放电深度，将第一放电深度记为DOD n。
根据第三阻抗值R 1(n)、实测温度T 1(n)和电池的第一放电深度DOD n，确定电池的预测剩余容量，其中，将电池的预测剩余容量的公式表示为：
f(DOD n，T 1(n)，R 1(n))
除了确定电池的预测剩余容量，还需要确定电池的不可用剩余容量，获取电池充电起始的初始阻抗值R(0)，根据电池充电起始的初始阻抗值R(0)、实测温度T 1(n)和电池放电结束时的第二参考放电深度DOD end，确定电池的不可用剩余容量，不可用剩余容量为电池放电结束时仍然存在无法放出的电量。其中，电池的不可用剩余容量的公式表示为：
f(DOD end，T 1(n)，R(0))
根据上述确定的预测剩余容量和不可用剩余容量，确定目标剩余容量，其中，电池的目标剩余容量RM 1的公式表示为：
RM 1＝f(DOD n，T 1(n)，R 1(n))-f(DOD end，T 1(n)，R(0))
本申请实施例通过确定电池的目标剩余容量从而更新电池的可使用满充电容，解决了现有技术中电池因温度变化导致充电充不满的问题，使得充电电量更加准确，带来了更好的用户体验。
图5是本申请提出的一种电池状态的监控方法的示例性实施方式，如图5所示，该电池状态的监控方法，还包括以下步骤S501至步骤S506。
S501，响应于电池满足满充截止条件，获取电池满充时的第二充电电压、第二充电电流和第四阻抗值。
当电池充电到满充时，认为电池满足满充截止条件，获取电池满充时的第二充电电压V 2(n)、第二充电电流I 2(n)和第四阻抗值R 2(n)。
S502，根据第二充电电压、第二充电电流和第四阻抗值，确定满充时的第二开路电压。
根据第二充电电压V 2(n)、第二充电电流I 2(n)和第四阻抗值R 2(n)，确定满充时的第二开路电压OCV(full)，其中，电池满充时的第二开路电压OCV(full)的计算公式为：
OCV(full)＝V 2(n)-I 2(n)R 2(n)
S503，根据第二开路电压，确定满充时的第二放电深度。
根据上述确定的第二开路电压OCV(full)，确定满充时的第二放电深度。理论上，第二放电深度等于电池满充时的第一参考放电深度DOD full。
S504，根据第四阻抗值、实测温度和第二放电深度，确定电池的满充预测剩余电容。
确定电池满充时的实测温度T 2(n)，根据第四阻抗值R 2(n)、实测温度T 2(n)和第二放电深度DOD full，确定电池的满充预测剩余电容。其中，电池的满充预测剩余电容可表示为：
f(DOD full，T 2(n)，R 2(n))
S505，根据电池充电起始的初始阻抗值、实测温度和电池放电结束时的第二参考放电深度，确定电池的不可用剩余电容。
根据电池充电起始的初始阻抗值R(0)、实测温度T 2(n)和电池放电结束时的第二参考放电深度DOD end，确定电池的不可用剩余电容，不可用剩余电容为电池放电结束时仍然存在无法放出的电量。其中，电池的不可用剩余电容可表示为：
f(DOD end，T 2(n)，R(0))
S506，基于满充预测剩余电容和不可用剩余电容，确定电池的满充可使用满充电容。根据上述确定的电池满充预测剩余电容和不可用剩余电容，确定电池满充时的剩余电容。其中，电池满充时的剩余电容RM 2的计算公式为：
RM 2＝f(DOD full，T 2(n)，R 2(n))-f(DOD end，T 2(n)，R(0))
由于电池放电结束时仍然存在无法放出的电量，确定为不可用剩余电容，故电池满充时的满充预测剩余电容需要减去不可用剩余电容，得到的才是对电池进行充电的剩余电容，使得电池在充电过程中的实际状态更加准确。
将上述确定的满充时剩余电容确定为电池的满充可使用满充电容。即满充可使用满充电容＝满充时剩余电容。
本申请实施例通过确定电池的剩余容量从而更新电池的满充可使用满充电容，解决了现有技术中电池因温度变化导致充电充不满的问题，使得充电电量更加准确，带来了更好的用户体验。
图6是本申请提出的一种电池状态的监控方法的示例性实施方式，如图6所示，该电池状态的监控方法，还包括以下步骤S601至步骤S603。
S601，获取电池充电过程包括的充电阶段及充电阶段的预测充电温度。
将电池开始充电时当前充电时刻至整个电池充电结束的过程看做是多个充电阶段组合起来的，获取电池充电过程包括的充电阶段，并获取每个充电阶段对应的阶段阻抗值，将每个充电阶段对应的阶段阻抗值按顺序分别记为R(1)、R(2)、R(3)……R(t)；将每个充电阶段对应的阶段充电电流按顺序分别记为I(1)、I(2)、I(3)……I(t)；将每个充电阶段对应的起始温度按顺序分别记为T(1)、T(2)、T(3)……T(t)。
基于每个充电阶段的阶段阻抗值、起始温度和阶段充电电流，获取充电阶段的预测充电温度。其中，第t个充电阶段的充电预测温度的公式表示为：
T(t)＝f(I(t)，R(t)，T(t-1))
S602，获取充电阶段对应的阶段充电电量和阶段充电电流。
获取每个充电阶段对应的阶段充电电量和阶段充电电流。将每个充电阶段对应的阶段充电电量按顺序分别记为Q(1)、Q(2)、Q(3)……Q(t)；由上述，将每个充电阶段对应的阶段充电电流按顺序分别记为I(1)、I(2)、I(3)……I(t)。
S603，针对每个充电阶段，基于充电阶段的预测充电温度、阶段充电电量和阶段充电电流，获取充电阶段的预测充电时长。
基于阶段充电电量和阶段充电电流，获取充电阶段的基础充电时长，其中，第t个充电阶段的基础充电时长为
Figure PCTCN2022090808-appb-000004
类似的，第1个充电阶段的基础充电时长为
Figure PCTCN2022090808-appb-000005
第2个充电阶段的基础充电时长为
Figure PCTCN2022090808-appb-000006
其他充电阶段以此类推，在此不再进行赘述。
根据充电阶段的预测充电温度对基础充电时长进行修正，获取充电阶段的预测充电时长。
示例性的，对于第t个充电阶段，其对应的预测充电温度为T(t)，其对应的基础充电时长为
Figure PCTCN2022090808-appb-000007
将根据充电阶段的预测充电温度对基础充电时长进行修正表示为
Figure PCTCN2022090808-appb-000008
示例性的，对于第1个充电阶段，其对应的预测充电温度为T(1)，其对应的基础充电时长为
Figure PCTCN2022090808-appb-000009
将根据充电阶段的预测充电温度对基础充电时长进行修正表示为
Figure PCTCN2022090808-appb-000010
其他充电阶段以此类推，在此不再进行赘述。
S604，对电池当前所处的充电阶段进行监控，并基于当前所处的充电阶段和剩余充电阶段的预测充电时长，确定电池的剩余充电时长。
对电池当前所处的充电阶段进行监控，并基于当前所处的充电阶段和剩余充电阶段的预测充电时长，确定电池的剩余充电时长R t。其中，电池的剩余充电时长的公式可表示为：
Figure PCTCN2022090808-appb-000011
本申请实施例对电池当前所处的充电阶段进行监控，并基于当前所处的充电阶段和剩余充电阶段的预测充电时长，确定电池的剩余充电时长，能够实现对电池充电时间的精确预估，提升用户体验。
图7是本申请提出的一种电池状态的监控装置的示意图，如图7所示，该电池状态的监控装置700，包括第一获取模块71、确定模块72、第二获取模块73和更新模块74，其中：
第一获取模块71，用于获取终端设备充电过程中电池的充电预测温度。
第一确定模块72，用于根据充电预测温度，确定用于对可使用满充电容进行调整的调整系数。
第二获取模块73，用于获取电池满充时的第一参考放电深度、放电结束时的第二参考放电深度和电池的最大化学容量。
更新模块74，用于根据调整系数、第一参考放电深度、第二参考放电深度和最大化学容量，对充电过程中的电池的可使用满充电容进行更新，以根据更新后的目标可使用满充电容，对电池的充电参数进行调整。
进一步地，第一获取模块71，还用于：获取电池开始充电的起始温度和充电过程中电池的实测温度；获取电池充电过程中的第一充电电流和第一荷电状态；根据实测温度、第一充电电流和第一荷电状态，确定电池对应的第一阻抗值；根据起始温度、第一阻抗值和第一充电电流，确定充电预测温度。
进一步地，第一获取模块71，还用于：基于电池的充电开路电压曲线，确定第一荷电状态对应的第一开路电压；根据第一开路电压确定电池对应的第一充电阻抗点；根据实测温度和第一充电电流，确定第一充电阻抗点的第一阻抗值。
进一步地，第一获取模块71，还用于：获取与上一个第一荷电状态之间的时间间隔内的第一充电电流，并基于间隔间的第一充电电流，确定间隔内的平均充电电流；获取当前第一充电电压对应的第二充电阻抗点，并根据当前实测温度和平均充电电流确定第二充电阻抗点的第二阻抗值；根据当前第一充电电压、平均充电电流和第二阻抗值，确定当前的实际开路电压；基于当前的实际开路电压，对电池的当前荷电状态进行修正，得到第一荷电状态。
进一步地，电池状态的监控装置700还包括第二确定模块75，第二确定模块75用于：对充电过程中电池的第一充电电流进行库仑积分，获取充电电量；判断充电过程中采集到电池的第一充电电压是否满足其中一个充电阻抗点的电压条件；若电池的第一充电电压未满足其中一个充电阻抗点的电压条件，则根据充电电量和电池充电开始时的起始电量，确定电池更新后的目标剩余容量。
进一步地，第二确定模块75，还用于：若充电过程中采集到电池的第一充电电压满足其中一个充电阻抗点的电压条件，根据实测温度和第一荷电状态，获取其中一个充电阻抗点的第三阻抗值；根据第三阻抗值、实测温度和电池的第一放电深度，确定电池的预测剩余容量；根据电池充电起始的初始阻抗值、实测温度和电池放电结束时的第二参考放电深度，确定电池的不可用剩余容量；基于预测剩余容量和不可用剩余容量，确定目标剩余容量。
进一步地，电池状态的监控装置700还包括第三确定模块76，第三确定模块76用于：响应于电池满足满充截止条件，获取电池满充时的第二充电电压、第二充电电流和第四阻抗值；根据第二充电电压、第二充电电流和第四阻抗值，确定满充时的第二开路电压；根据第二开路电压，确定满充时的第二放电 深度；根据第四阻抗值、实测温度和第二放电深度，确定电池的满充预测剩余电容；根据电池充电起始的初始阻抗值、实测温度和电池放电结束时的第二参考放电深度，确定电池的不可用剩余电容；基于满充预测剩余电容和不可用剩余电容，确定电池的满充可使用满充电容。
进一步地，电池状态的监控装置700还包括第四确定模块77，第四确定模块77用于：获取电池充电过程包括的充电阶段及充电阶段的预测充电温度；获取充电阶段对应的阶段充电电量和阶段充电电流；针对每个充电阶段，基于充电阶段的预测充电温度、阶段充电电量和阶段充电电流，获取充电阶段的预测充电时长；对电池当前所处的充电阶段进行监控，并基于当前所处的充电阶段和剩余充电阶段的预测充电时长，确定电池的剩余充电时长。
进一步地，第四确定模块77，还用于：获取充电阶段对应的阶段阻抗值；基于充电阶段的阶段阻抗值、起始温度和阶段充电电流，获取充电阶段的预测充电温度。
进一步地，第四确定模块77，还用于：基于阶段充电电量和阶段充电电流，获取充电阶段的基础充电时长；根据充电阶段的预测充电温度对基础充电时长进行修正，获取充电阶段的预测充电时长。
为了实现上述实施例，本申请实施例还提出一种电子设备800，如图8所示，该电子设备800包括：处理器801和处理器通信连接的存储器802，存储器802存储有可被至少一个处理器执行的指令，指令被至少一个处理器801执行，以实现如上述实施例所示的电池状态的监控方法。
为了实现上述实施例，本申请实施例还提出一种存储有计算机指令的非瞬时计算机可读存储介质，其中，计算机指令用于使计算机实现如上述实施例所示的电池状态的监控方法。
为了实现上述实施例，本申请实施例还提出一种计算机程序产品，包括计算机程序，计算机程序在被处理器执行时实现如上述实施例所示的电池状态的监控方法。
在本申请的描述中，需要理解的是，术语“中心”、“纵向”、“横向”、“长度”、“宽度”、“厚度”、“上”、“下”、“前”、“后”、“左”、“右”、“竖直”、“水平”、“顶”、“底”“内”、“外”、“顺时针”、“逆时针”、“轴向”、“径向”、“周向”等指示的方位或位置关系为基于附图所示的方位或位置关系，仅是为了便于描述本申请和简化描述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此不能理解为对本申请的限制。
此外，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括一个或者更多个该特征。在本申请的描述中，“多个”的含义是两个或两个以上，除非另有明确具体的限定。
在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本申请的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不必须针对的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外，在不相互矛盾的情况下，本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
尽管上面已经示出和描述了本申请的实施例，可以理解的是，上述实施例是示例性的，不能理解为对本申请的限制，本领域的普通技术人员在本申请的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (14)

  1. 一种电池状态的监控方法，其特征在于，包括：
    获取终端设备充电过程中电池的充电预测温度；
    根据所述充电预测温度，确定用于对可使用满充电容进行调整的调整系数；
    获取所述电池满充时的第一参考放电深度、放电结束时的第二参考放电深度和所述电池的最大化学容量；
    根据所述调整系数、所述第一参考放电深度、所述第二参考放电深度和所述最大化学容量，对充电过程中的所述电池的可使用满充电容进行更新，以根据更新后的目标可使用满充电容，对所述电池的充电参数进行调整。
  2. 根据权利要求1所述的方法，其特征在于，所述获取终端设备充电过程中电池的充电预测温度，包括：
    获取所述电池开始充电的起始温度和充电过程中所述电池的实测温度；
    获取所述电池充电过程中的第一充电电流和第一荷电状态；
    根据所述实测温度、所述第一充电电流和所述第一荷电状态，确定所述电池对应的第一阻抗值；
    根据所述起始温度、所述第一阻抗值和所述第一充电电流，确定所述充电预测温度。
  3. 根据权利要求2所述的方法，其特征在于，所述根据所述实测温度、所述第一充电电流和所述第一荷电状态，确定所述电池对应的第一阻抗值，包括：
    基于所述电池的充电开路电压曲线，确定所述第一荷电状态对应的第一开路电压；
    根据所述第一开路电压确定所述电池对应的第一充电阻抗点；
    根据所述实测温度和所述第一充电电流，确定所述第一充电阻抗点的第一阻抗值。
  4. 根据权利要求2所述的方法，其特征在于，所述第一荷电状态获取过程，包括：
    获取与上一个所述第一荷电状态之间的时间间隔内的第一充电电流，并基于所述间隔内的第一充电电流，确定所述间隔内的平均充电电流；
    获取当前所述第一充电电压对应的第二充电阻抗点，并根据当前所述实测温度和所述平均充电电流确定所述第二充电阻抗点的第二阻抗值；
    根据当前所述第一充电电压、所述平均充电电流和所述第二阻抗值，确定当前的实际开路电压；
    基于所述当前的实际开路电压，对所述电池的当前荷电状态进行修正，得到所述第一荷电状态。
  5. 根据权利要求1至4任一项所述的方法，其特征在于，所述方法还包括：
    对充电过程中所述电池的第一充电电流进行库仑积分，获取所述充电电量；
    判断充电过程中采集到所述电池的第一充电电压是否满足其中一个充电阻抗点的电压条件；
    若所述电池的第一充电电压未满足其中一个充电阻抗点的电压条件，则根据所述充电电量和所述电池充电开始时的起始电量，确定所述电池更新后的目标剩余容量。
  6. 根据权利要求5所述的方法，其特征在于，所述方法还包括：
    若充电过程中采集到所述电池的第一充电电压满足其中一个充电阻抗点的电压条件，根据所述实测温度和所述第一荷电状态，获取所述其中一个充电阻抗点的第三阻抗值；
    根据所述第三阻抗值、所述实测温度和所述电池的第一放电深度，确定所述电池的预测剩余容量；
    根据所述电池充电起始的初始阻抗值、所述实测温度和所述电池放电结束时的第二参考放电深度，确定所述电池的不可用剩余容量；
    基于所述预测剩余容量和所述不可用剩余容量，确定所述目标剩余容量。
  7. 根据权利要求1至4任一项所述的方法，其特征在于，所述方法还包括：
    响应于所述电池满足满充截止条件，获取所述电池满充时的第二充电电压、第二充电电流和第四阻抗值；
    根据所述第二充电电压、所述第二充电电流和所述第四阻抗值，确定所述满充时的第二开路电压；
    根据所述第二开路电压，确定所述满充时的第二放电深度；
    根据所述第四阻抗值、所述实测温度和所述第二放电深度，确定所述电池的满充预测剩余电容；
    根据所述电池充电起始的初始阻抗值、所述实测温度和所述电池放电结束时的第二参考放电 深度，确定所述电池的不可用剩余电容；
    基于所述满充预测剩余电容和所述不可用剩余电容，确定所述电池的满充可使用满充电容。
  8. 根据权利要求1至4任一项所述的方法，其特征在于，所述方法还包括：
    获取所述电池充电过程包括的充电阶段及所述充电阶段的预测充电温度；
    获取所述充电阶段对应的阶段充电电量和阶段充电电流；
    针对每个所述充电阶段，基于所述充电阶段的预测充电温度、所述阶段充电电量和阶段充电电流，获取所述充电阶段的预测充电时长；
    对所述电池当前所处的充电阶段进行监控，并基于所述当前所处的充电阶段和剩余充电阶段的预测充电时长，确定所述电池的剩余充电时长。
  9. 根据权利要求8所述的方法，其特征在于，所述获取所述充电阶段的预测充电温度，包括：
    获取所述充电阶段对应的阶段阻抗值；
    基于所述充电阶段的阶段阻抗值、所述起始温度和所述阶段充电电流，获取所述充电阶段的预测充电温度。
  10. 根据权利要求8所述的方法，其特征在于，所述基于所述充电阶段的预测充电温度、所述阶段充电电量和阶段充电电流，获取所述充电阶段的预测充电时长，包括：
    基于所述阶段充电电量和所述阶段充电电流，获取所述充电阶段的基础充电时长；
    根据所述充电阶段的预测充电温度对所述基础充电时长进行修正，获取所述充电阶段的预测充电时长。
  11. 一种电池状态的监控装置，其特征在于，包括：
    第一获取模块，用于获取终端设备充电过程中电池的充电预测温度；
    第一确定模块，用于根据所述充电预测温度，确定用于对可使用满充电容进行调整的调整系数；
    第二获取模块，用于获取所述电池满充时的第一参考放电深度、放电结束时的第二参考放电深度和所述电池的最大化学容量；
    更新模块，用于根据所述调整系数、所述第一参考放电深度、所述第二参考放电深度和所述最大化学容量，对充电过程中的所述电池的可使用满充电容进行更新，以根据更新后的目标可使用满充电容，对所述电池的充电参数进行调整。
  12. 一种电子设备，包括：
    至少一个处理器；以及
    与所述至少一个处理器通信连接的存储器；其中，
    所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行权利要求1至10中任一项所述的方法。
  13. 一种存储有计算机指令的非瞬时计算机可读存储介质，其中，所述计算机指令用于使所述计算机执行根据权利要求1至10中任一项所述的方法。
  14. 一种计算机程序产品，包括计算机程序，所述计算机程序在被处理器执行时实现根据权利要求1至10中任一项所述的步骤。
PCT/CN2022/090808 2021-12-28 2022-04-29 电池状态的监控方法及其装置 WO2023123789A1 (zh)

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