CN116908723A - Calculation method and device for battery cycle times - Google Patents

Calculation method and device for battery cycle times Download PDF

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Publication number
CN116908723A
CN116908723A CN202310679565.6A CN202310679565A CN116908723A CN 116908723 A CN116908723 A CN 116908723A CN 202310679565 A CN202310679565 A CN 202310679565A CN 116908723 A CN116908723 A CN 116908723A
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China
Prior art keywords
charging
target
iron phosphate
lithium iron
time
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Inventor
易昊昊
杨伟健
潘振兴
黎启华
陈翔
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Wuhan Eve Energy Storage Co ltd
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Wuhan Eve Energy Storage Co ltd
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Priority to CN202310679565.6A priority Critical patent/CN116908723A/en
Publication of CN116908723A publication Critical patent/CN116908723A/en
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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]
    • G01R31/392—Determining battery ageing or deterioration, e.g. state of health
    • 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]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • 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]
    • G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
    • 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]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • 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]
    • G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)

Abstract

The invention discloses a method and a device for calculating the cycle times of a battery, wherein the method comprises the following steps: acquiring a charging parameter set of the lithium iron phosphate battery in a target charging process; the charging parameter set comprises charging parameters corresponding to each charging moment in a plurality of charging moments contained in the target charging process; the target charging process is one of all charging processes of the lithium iron phosphate battery, and each charging process has corresponding cycle times; determining a target charging platform period of the lithium iron phosphate battery according to all the charging moments and charging parameters corresponding to all the charging moments; and calculating the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period. Therefore, the charging duration of the target charging platform period can be accurately determined by implementing the method, and the calculation accuracy of the target cycle times is improved by accurately determining the charging duration of the target charging platform period.

Description

Calculation method and device for battery cycle times
Technical Field
The present invention relates to the field of battery technologies, and in particular, to a method and an apparatus for calculating cycle times of a battery.
Background
The method of recording the number of battery cycles is generally to calculate the current full voltage of the battery through the BMS. The principle of the calculation method is as follows: as the number of battery cycles increases, the full charge voltage of the battery gradually decreases, and thus, by calculating the full charge voltage of the battery, the number of times the corresponding battery has been cycled can be calculated.
Currently, studies for calculating the number of cycles using the full voltage have been widely applied to the field of ternary batteries. However, this algorithm is not effective for lithium iron phosphate batteries because there is a non-linear relationship between the full voltage of the lithium iron phosphate battery and the number of battery cycles. Therefore, the estimation of the number of cycles of the lithium iron phosphate battery is currently based on the maximum voltage estimation of the approximate number of cycles. However, it is found in practice that when the lithium iron phosphate battery is charged and discharged, the open-circuit voltage of the lithium iron phosphate battery is fully charged and slightly changed actually after the charging and discharging are finished, and the change rule is difficult to simulate, so that the calculation error of the battery cycle times is easily caused. It is important to provide a technical scheme for improving the calculation accuracy of the cycle times of the lithium iron phosphate battery.
Disclosure of Invention
The invention provides a method and a device for calculating the cycle times of a battery, which can improve the calculation accuracy of the target cycle times of a lithium iron phosphate battery, thereby being beneficial to improving the use safety of the lithium iron phosphate battery.
In order to solve the above technical problems, a first aspect of the present invention discloses a method for calculating a cycle number of a battery, the method comprising:
acquiring a charging parameter set of the lithium iron phosphate battery in a target charging process; the charging parameter set comprises charging parameters corresponding to each charging moment in a plurality of charging moments contained in the target charging process;
determining a target charging platform period of the lithium iron phosphate battery according to all the charging moments and charging parameters corresponding to all the charging moments;
and calculating the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period.
As an optional implementation manner, in the first aspect of the present invention, the charging parameter corresponding to each charging time includes a charging voltage change value corresponding to each charging time;
the determining the target charging platform period of the lithium iron phosphate battery according to all the charging moments and the charging parameters corresponding to all the charging moments comprises the following steps:
calculating the voltage slope corresponding to each charging time according to each charging time, the charging parameter corresponding to each charging time and the determined voltage slope calculation model;
Determining a target charging platform period of the lithium iron phosphate battery according to all voltage slopes corresponding to the charging moments and all charging parameters corresponding to the charging moments;
the voltage slope calculation model corresponding to each charging time is as follows:
where k represents the voltage slope at the charging time t, ΔU t Shows the change value of the charging voltage at the charging time t, deltaU t-i The charging voltage change value when the charging time is t-i is represented, and delta t represents the charging time period from the charging time t-i to the charging time t.
As an optional implementation manner, in the first aspect of the present invention, the charging parameter corresponding to each charging time further includes an accumulated charging voltage corresponding to each charging time and an accumulated charging amount corresponding to each charging time;
the determining the target charging platform period of the lithium iron phosphate battery according to the voltage slopes corresponding to all the charging moments and the charging parameters corresponding to all the charging moments comprises the following steps:
determining the starting time of a target charging platform period according to the accumulated charging voltage corresponding to all the charging time and a preset time screening condition;
determining a slope judgment threshold according to the accumulated charging voltages corresponding to all the charging moments and the accumulated charging amounts corresponding to all the charging moments; determining the end time of the target charging platform period according to the slope judging threshold value and the voltage slopes corresponding to all the charging time;
And determining the target charging platform period of the lithium iron phosphate battery in the charging process according to the starting time of the target charging platform period and the ending time of the target charging platform period.
In an optional implementation manner, in a first aspect of the present invention, the determining, according to the accumulated charging voltages corresponding to all the charging moments and a preset time screening condition, a starting moment of a target charging platform period includes:
screening out target charging voltage which appears for the first time from the accumulated charging voltages corresponding to all the charging moments; the target charging voltage is smaller than all adjacent accumulated charging voltages;
determining a charging time corresponding to the target charging voltage as a starting time of a target charging platform period;
and determining the end time of the target charging platform period according to the slope determination threshold and the voltage slopes corresponding to all the charging time, including:
according to the slope judging threshold value and the voltage slopes corresponding to all the charging moments, screening out target voltage slopes appearing for the first time from all the voltage slopes; the target voltage slope is greater than the slope determination threshold;
And determining the charging time corresponding to the target voltage slope as the ending time of the target charging platform period.
In an optional implementation manner, in a first aspect of the present invention, the determining a slope determination threshold according to the accumulated charging voltages corresponding to all the charging moments and the accumulated charging amounts corresponding to all the charging moments includes:
for each charging time, inputting the accumulated charging voltage corresponding to the charging time and the accumulated charging quantity corresponding to the charging time into a predetermined derivative formula for derivative calculation to obtain a derivative result corresponding to the charging time;
performing curve fitting on derivative results corresponding to all the charging moments to obtain curve fitting results;
screening all target derivative results meeting the preset curve change trend from all derivative results according to the curve fitting results;
and carrying out fusion processing on all the target derivative results to obtain a slope judgment threshold value.
As an optional embodiment, in the first aspect of the present invention, each charging process of the lithium iron phosphate battery includes a first plateau period, a second plateau period, and a third plateau period;
The target charging plateau is a second plateau in the target charging process;
the target charging process is one of all charging processes of the lithium iron phosphate battery, and each charging process has corresponding cycle times;
the calculating the target cycle number of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period comprises the following steps:
acquiring initial charging time length of a second stage of the lithium iron phosphate battery in an initial charging process; the cycle times corresponding to the initial charging process are smaller than the cycle times corresponding to the target charging process;
inputting the calculated target charging duration of the target charging platform period and the initial charging duration into a pre-trained charging duration calculation model for inverse operation to obtain the target cycle number of the lithium iron phosphate battery;
the charging duration calculation model of the second platform period in any charging process is as follows:
ΔT＝T 1 -a×exp(bx)；
wherein DeltaT represents the charging duration of the second stage in a certain charging process, T 1 And (3) representing the initial charging duration of the lithium iron phosphate battery in the second stage of the initial charging process, wherein x represents the target cycle times of the lithium iron phosphate battery, and a and b are constants.
As an alternative embodiment, in the first aspect of the present invention, the method further includes:
obtaining rated cycle times of the lithium iron phosphate battery;
determining battery parameters of the lithium iron phosphate battery according to the target cycle times and the rated cycle times; the battery parameters comprise the current battery capacity of the lithium iron phosphate battery and/or the residual service life of the lithium iron phosphate battery;
acquiring the electric quantity requirement of target equipment; the lithium iron phosphate battery is used for supplying power to the target equipment; the electric quantity requirement is used for representing the electric quantity required by the normal work of the target equipment;
determining a battery state of the lithium iron phosphate battery according to battery parameters of the lithium iron phosphate battery and the electric quantity requirement of the target equipment, wherein the battery state comprises a healthy state or a non-healthy state; the state of health is used for indicating that the lithium iron phosphate battery does not need to be replaced, and the non-state of health is used for indicating that the lithium iron phosphate battery needs to be replaced.
The second aspect of the present invention discloses a device for calculating the cycle number of a battery, comprising:
the acquisition module is used for acquiring a charging parameter set of the lithium iron phosphate battery in a target charging process; the charging parameter set comprises charging parameters corresponding to each charging moment in a plurality of charging moments contained in the target charging process;
The first determining module is used for determining a target charging platform period of the lithium iron phosphate battery according to all the charging moments and charging parameters corresponding to all the charging moments;
and the calculating module is used for calculating the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period.
As an optional implementation manner, in the second aspect of the present invention, the charging parameter corresponding to each charging time includes a charging voltage change value corresponding to each charging time;
the first determining module determines the target charging platform period of the lithium iron phosphate battery according to all the charging moments and charging parameters corresponding to all the charging moments, and specifically includes:
calculating the voltage slope corresponding to each charging time according to each charging time, the charging parameter corresponding to each charging time and the determined voltage slope calculation model;
determining a target charging platform period of the lithium iron phosphate battery according to all voltage slopes corresponding to the charging moments and all charging parameters corresponding to the charging moments;
the voltage slope calculation model corresponding to each charging time is as follows:
Where k represents the voltage slope at the charging time t, ΔU t Shows the change value of the charging voltage at the charging time t, deltaU t-i The charging voltage change value when the charging time is t-i is represented, and delta t represents the charging time period from the charging time t-i to the charging time t.
As an optional implementation manner, in the second aspect of the present invention, the charging parameter corresponding to each charging time further includes an accumulated charging voltage corresponding to each charging time and an accumulated charging amount corresponding to each charging time;
the first determining module determines a target charging platform period of the lithium iron phosphate battery according to all voltage slopes corresponding to the charging moments and all charging parameters corresponding to the charging moments, wherein the method specifically comprises the following steps:
determining the starting time of a target charging platform period according to the accumulated charging voltage corresponding to all the charging time and a preset time screening condition;
determining a slope judgment threshold according to the accumulated charging voltages corresponding to all the charging moments and the accumulated charging amounts corresponding to all the charging moments; determining the end time of the target charging platform period according to the slope judging threshold value and the voltage slopes corresponding to all the charging time;
And determining the target charging platform period of the lithium iron phosphate battery in the charging process according to the starting time of the target charging platform period and the ending time of the target charging platform period.
In a second aspect of the present invention, the method for determining the start time of the target charging platform period by the first determining module according to the accumulated charging voltages corresponding to all the charging time and the preset time screening conditions specifically includes:
screening out target charging voltage which appears for the first time from the accumulated charging voltages corresponding to all the charging moments; the target charging voltage is smaller than all adjacent accumulated charging voltages;
determining a charging time corresponding to the target charging voltage as a starting time of a target charging platform period;
and the first determining module determines the ending time of the target charging platform period according to the slope determination threshold and the voltage slopes corresponding to all the charging time, which specifically includes:
according to the slope judging threshold value and the voltage slopes corresponding to all the charging moments, screening out target voltage slopes appearing for the first time from all the voltage slopes; the target voltage slope is greater than the slope determination threshold;
And determining the charging time corresponding to the target voltage slope as the ending time of the target charging platform period.
In a second aspect of the present invention, the method for determining the slope determination threshold by the first determining module according to the accumulated charging voltages corresponding to all the charging moments and the accumulated charging amounts corresponding to all the charging moments specifically includes:
for each charging time, inputting the accumulated charging voltage corresponding to the charging time and the accumulated charging quantity corresponding to the charging time into a predetermined derivative formula for derivative calculation to obtain a derivative result corresponding to the charging time;
performing curve fitting on derivative results corresponding to all the charging moments to obtain curve fitting results;
screening all target derivative results meeting the preset curve change trend from all derivative results according to the curve fitting results;
and carrying out fusion processing on all the target derivative results to obtain a slope judgment threshold value.
As an alternative embodiment, in the second aspect of the present invention, each charging process of the lithium iron phosphate battery includes a first plateau period, a second plateau period, and a third plateau period;
The target charging plateau is a second plateau in the target charging process;
the target charging process is one of all charging processes of the lithium iron phosphate battery, and each charging process has corresponding cycle times;
the calculating module calculates the target cycle number of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period, wherein the calculating module specifically comprises the following steps:
acquiring initial charging time length of a second stage of the lithium iron phosphate battery in an initial charging process; the cycle times corresponding to the initial charging process are smaller than the cycle times corresponding to the target charging process;
inputting the calculated target charging duration of the target charging platform period and the initial charging duration into a pre-trained charging duration calculation model for inverse operation to obtain the target cycle number of the lithium iron phosphate battery;
the charging duration calculation model of the second platform period in any charging process is as follows:
ΔT＝T 1 -a×exp(bx)；
wherein DeltaT represents the charging duration of the second stage in a certain charging process, T 1 And (3) representing the initial charging duration of the lithium iron phosphate battery in the second stage of the initial charging process, wherein x represents the target cycle times of the lithium iron phosphate battery, and a and b are constants.
As an optional implementation manner, in the second aspect of the present invention, the obtaining module is further configured to obtain a rated cycle number of the lithium iron phosphate battery;
the apparatus further comprises:
the second determining module is used for determining battery parameters of the lithium iron phosphate battery according to the target cycle times and the rated cycle times; the battery parameters comprise the current battery capacity of the lithium iron phosphate battery and/or the residual service life of the lithium iron phosphate battery;
the acquisition module is also used for acquiring the electric quantity requirement of the target equipment; the lithium iron phosphate battery is used for supplying power to the target equipment; the electric quantity requirement is used for representing the electric quantity required by the normal work of the target equipment;
the second determining module is further configured to determine a battery state of the lithium iron phosphate battery according to a battery parameter of the lithium iron phosphate battery and an electric quantity demand of the target device, where the battery state includes a healthy state or a non-healthy state; the state of health is used for indicating that the lithium iron phosphate battery does not need to be replaced, and the non-state of health is used for indicating that the lithium iron phosphate battery needs to be replaced.
In a third aspect, the present invention discloses another apparatus for calculating the cycle number of a battery, the apparatus comprising:
a memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to execute the method for calculating the battery cycle number disclosed in the first aspect of the present invention.
A fourth aspect of the present invention discloses a computer storage medium storing computer instructions that, when called, are used to perform the method of calculating the number of battery cycles disclosed in the first aspect of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, a charging parameter set of a lithium iron phosphate battery in a target charging process is obtained; the charging parameter set comprises charging parameters corresponding to each charging moment in a plurality of charging moments contained in the target charging process; the target charging process is one of all charging processes of the lithium iron phosphate battery, and each charging process has corresponding cycle times; determining a target charging platform period of the lithium iron phosphate battery according to all the charging moments and charging parameters corresponding to all the charging moments; and calculating the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period. Therefore, the method and the device can accurately determine the target charging platform period of the lithium iron phosphate battery according to the acquired multiple charging parameters of the lithium iron phosphate battery in the target charging process, and can improve the accuracy of calculating the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period, thereby being beneficial to improving the use safety of the lithium iron phosphate battery.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for calculating the cycle number of a battery according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a platform period corresponding to a target charging process according to an embodiment of the present invention;
FIG. 3 is a flow chart of another method for calculating the number of battery cycles according to an embodiment of the present invention;
FIG. 4 is a graph corresponding to a derivative of accumulated charge voltage and accumulated charge according to an embodiment of the present invention;
FIG. 5 is a graph showing the relationship between the charge duration of the second plateau and the number of cycles for each cycle, according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a battery cycle number calculating device according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of another battery cycle count calculation device according to an embodiment of the present invention;
Fig. 8 is a schematic diagram of a device for calculating the cycle number of a battery according to another embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or article.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention discloses a method and a device for calculating the cycle times of a battery, which can accurately determine the target charging platform period of the lithium iron phosphate battery according to a plurality of acquired charging parameters of the lithium iron phosphate battery in the target charging process, and can improve the calculation accuracy of the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period, thereby being beneficial to improving the use safety of the lithium iron phosphate battery. The following will describe in detail.
Example 1
Referring to fig. 1, fig. 1 is a flowchart of a method for calculating a battery cycle number according to an embodiment of the invention. The method for calculating the battery cycle number described in fig. 1 may be applied to a device for calculating the battery cycle number, where the device may include a computing device or a computing server, and the computing server may include a cloud server or a local server, which is not limited in the embodiment of the present invention. As shown in fig. 1, the method for calculating the number of battery cycles may include the following operations:
101. And acquiring a charging parameter set of the lithium iron phosphate battery in a target charging process.
In the embodiment of the present invention, the charging parameter set may include a charging parameter corresponding to each charging time in a plurality of charging times included in the target charging process; the target charging process is one of all charging processes of the lithium iron phosphate battery, and each charging process has a corresponding cycle number. The charging process corresponding to each cycle number refers to a process of charging the lithium iron phosphate battery from zero electric quantity to full electric quantity, and the embodiment of the invention is not limited.
102. And determining a target charging platform period of the lithium iron phosphate battery according to all the charging moments and charging parameters corresponding to all the charging moments.
In an embodiment of the present invention, optionally, each charging process may include a first stage, a second stage, and a third stage, where each stage is used to represent a different charging stage in the charging process. The target charging platform period of the lithium iron phosphate battery may be a second platform period of the lithium iron phosphate battery in the target charging process, and the embodiment of the invention is not limited.
Specifically, as shown in fig. 2, a schematic diagram of a plateau corresponding to a target charging process according to an embodiment of the present invention is shown, when the target charging process is just started (a first plateau), as the accumulated charge amount of the lithium iron phosphate battery increases, the accumulated charge voltage of the lithium iron phosphate battery also gradually increases, when the accumulated charge amount of the lithium iron phosphate battery reaches the accumulated charge amount indicated by the first arrow from left to right in fig. 2, the second plateau is entered, and when the accumulated charge amount of the lithium iron phosphate battery reaches the accumulated charge amount indicated by the second arrow from left to right in fig. 2, the third plateau is entered.
103. And calculating the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period.
In the embodiment of the invention, specifically, the target charging duration of the target charging platform period is determined by the following modes:
acquiring the starting time of a target charging platform period and the ending time of the target charging platform period;
and calculating a difference value between the starting time of the target charging platform period and the ending time of the target charging platform period to obtain the target charging duration of the target charging platform period.
Therefore, by implementing the method for calculating the cycle times of the battery, disclosed by the embodiment of the invention, the target charging platform period of the lithium iron phosphate battery can be accurately determined according to a plurality of acquired charging parameters of the lithium iron phosphate battery in the target charging process, and the calculation accuracy of the target cycle times of the lithium iron phosphate battery can be improved according to the calculated target charging duration of the target charging platform period, so that the use safety of the lithium iron phosphate battery is improved.
In an alternative embodiment, the method may further comprise:
acquiring charging environment parameters of all charging processes of the lithium iron phosphate battery;
Judging whether at least one adjusted target environment parameter exists in all the charging environment parameters;
if the adjusted at least one target environmental parameter exists in all the charging environmental parameters, adjusting the target charging duration of the target charging platform period according to all the target environmental parameters to obtain an adjusted target charging duration; triggering and executing the operation of calculating the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period in the step 103; or alternatively, the process may be performed,
and adjusting the target cycle times of the lithium iron phosphate battery according to all the target environment parameters to obtain the adjusted target cycle times.
The charging environment parameter of each charging process may include one or more of a battery charging rate of each charging process, a battery charging temperature of each charging process, and a battery charging capacity of each charging process, which is not limited in the embodiment of the present invention.
Specifically, when the battery charging temperature in a certain charging process is too high, the battery charging temperature in the charging process needs to be adjusted to be within a safe temperature range, and the purpose of reducing the battery charging temperature can be achieved by reducing the battery charging multiplying power in the charging process. And as the battery charging rate is reduced, the charging time in the charging process is prolonged, and the cycle number of the lithium iron phosphate battery is reduced.
Therefore, the optional embodiment can determine whether the obtained charging environment parameters of all the charging processes have at least one adjusted target environment parameter, and intelligently execute the adjustment operation on the target cycle number according to the target environment parameter when the obtained charging environment parameters have the target environment parameter, or execute the adjustment operation on the target charging duration, trigger the execution of the calculation operation on the target cycle number, and can improve the calculation accuracy and the intelligent degree of the target cycle number.
Example two
Referring to fig. 3, fig. 3 is a flowchart illustrating a method for calculating a battery cycle number according to an embodiment of the invention. The method for calculating the battery cycle number described in fig. 3 may be applied to a device for calculating the battery cycle number, where the device may include a computing device or a computing server, and the computing server may include a cloud server or a local server, which is not limited in the embodiment of the present invention. As shown in fig. 3, the calculation method may include the following operations:
201. and acquiring a charging parameter set of the lithium iron phosphate battery in a target charging process.
202. And determining a target charging platform period of the lithium iron phosphate battery according to all the charging moments and charging parameters corresponding to all the charging moments.
203. And calculating the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period.
In the embodiment of the present invention, specific technical details and technical terms of step 201 to step 203 may refer to the description of step 101 to step 103 in the implementation of the present invention, and are not described herein again.
204. And obtaining the rated cycle times of the lithium iron phosphate battery.
In the embodiment of the invention, the rated cycle times of the lithium iron phosphate battery can be used for representing the service life of the lithium iron phosphate battery. Specifically, when the cycle number of the lithium iron phosphate battery reaches the rated cycle number, the service life of the lithium iron phosphate battery reaches the maximum service life.
205. And determining battery parameters of the lithium iron phosphate battery according to the target cycle times and the rated cycle times.
In the embodiment of the invention, the battery parameters can comprise the current battery capacity of the lithium iron phosphate battery and/or the residual service life of the lithium iron phosphate battery. The current battery capacity of the lithium iron phosphate battery can be used for representing the total battery capacity of the lithium iron phosphate battery in the charging process corresponding to the target cycle times.
In the case of the lithium iron phosphate battery, as the number of cycles increases, the full charge voltage of the lithium iron phosphate battery becomes smaller every time the battery is fully charged, and the total capacity of the battery becomes smaller every time the battery is fully charged. Therefore, according to the change relation between the battery capacity and the cycle number of the lithium iron phosphate battery, the total battery capacity of the lithium iron phosphate battery can be obtained when the lithium iron phosphate battery is fully charged every time.
For example, when the rated cycle number of the lithium iron phosphate battery is 2500 times, if the target cycle number of the lithium iron phosphate battery is 500 times, the remaining service life of the lithium iron phosphate battery can be calculated to be 2000 times of cycle number.
206. And acquiring the electric quantity requirement of the target equipment.
In the embodiment of the invention, the lithium iron phosphate battery is used for supplying power to the target equipment, and the electric quantity requirement is used for indicating the electric quantity required by the normal work of the target equipment. Optionally, the target device may be a user terminal (e.g., a mobile phone, a portable computer, a tablet computer, etc.), a traffic device (e.g., a new energy automobile, an electric vehicle, etc.), or any other device that needs to be charged, which is not limited by the embodiment of the present invention.
207. And determining the battery state of the lithium iron phosphate battery according to the battery parameters of the lithium iron phosphate battery and the electric quantity requirement of the target equipment.
In the embodiment of the invention, optionally, the battery state may include a healthy state or a non-healthy state. The state of health is used for indicating that the lithium iron phosphate battery does not need to be replaced, and the non-state of health is used for indicating that the lithium iron phosphate battery needs to be replaced.
Specifically, determining the battery state of the lithium iron phosphate battery according to the battery parameters of the lithium iron phosphate battery and the power demand of the target device may include:
When the service life of the battery parameter of the lithium iron phosphate battery is zero, and/or when the current battery capacity of the battery parameter of the lithium iron phosphate battery does not meet the electric quantity requirement of the target equipment, determining that the battery state of the lithium iron phosphate battery is a non-healthy state;
and when the service life of the battery parameters of the lithium iron phosphate battery is longer than zero and the current battery capacity of the battery parameters of the lithium iron phosphate battery meets the electric quantity requirement of the target equipment, determining that the battery state of the lithium iron phosphate battery is a healthy state.
Therefore, according to the alternative embodiment, the battery state of the lithium iron phosphate battery can be intelligently determined according to the battery parameters of the lithium iron phosphate battery and the electric quantity requirement of the target equipment, and the determination accuracy and the intelligent degree of the battery state can be improved.
Therefore, by implementing the method for calculating the cycle times of the battery, disclosed by the embodiment of the invention, the target charging platform period of the lithium iron phosphate battery can be accurately determined according to a plurality of acquired charging parameters of the lithium iron phosphate battery in the target charging process, and the calculation accuracy of the target cycle times of the lithium iron phosphate battery can be improved according to the calculated target charging duration of the target charging platform period, so that the use safety of the lithium iron phosphate battery is improved. In addition, the battery state of the lithium iron phosphate battery can be accurately determined according to the obtained rated cycle times and the electric quantity requirement of the lithium iron phosphate battery and the accurately calculated target cycle times, and whether the lithium iron phosphate battery needs to be replaced or not can be accurately judged through the battery state (the battery state comprises a healthy state or a non-healthy state), so that the replacement accuracy and reliability of the lithium iron phosphate battery can be improved.
In an alternative embodiment, the charging parameter corresponding to each charging time instant includes a charging voltage variation value corresponding to each charging time instant.
And, in the step 202, determining the target charging platform period of the lithium iron phosphate battery according to all the charging moments and the charging parameters corresponding to all the charging moments may include:
calculating the voltage slope corresponding to each charging time according to each charging time, the charging parameter corresponding to each charging time and the determined voltage slope calculation model;
determining a target charging platform period of the lithium iron phosphate battery according to the voltage slopes corresponding to all the charging moments and the charging parameters corresponding to all the charging moments;
the voltage slope calculation model corresponding to each charging time is as follows:
where k represents the voltage slope at the charging time t, ΔU t Shows the change value of the charging voltage at the charging time t, deltaU t-i The charging voltage change value at the charging time t-i is represented, and Δt represents the charging time period from the charging time t-i to the charging time t.
Specifically, for each charging process of the lithium iron phosphate battery, when the lithium iron phosphate battery is just charged (the starting time of the first platform period), the voltage slope is close to zero, the accumulated charging voltage of the lithium iron phosphate battery is gradually increased along with the increase of the charging time, and when the change of voltage reduction and voltage increase occurs, the charging time corresponding to the change is determined as the ending time of the first platform period and the starting time of the second platform period; when the lithium iron phosphate battery is fully charged, the voltage slope is obviously increased, and when the voltage slope is larger than the determined slope judgment threshold, the charging time corresponding to the voltage slope larger than the slope judgment threshold is determined to be the ending time of the second platform period and the starting time of the third platform period.
Therefore, according to the alternative embodiment, each charging time and the charging parameters corresponding to the charging time can be input into the voltage slope calculation model, the voltage slope of each charging time can be accurately calculated, the target charging platform period of the lithium iron phosphate battery can be accurately determined according to the voltage slopes and the charging parameters corresponding to all the charging times which are accurately calculated, and the determination accuracy of the target charging platform period can be improved.
In this optional embodiment, as an optional implementation manner, the charging parameter corresponding to each charging time further includes an accumulated charging voltage corresponding to each charging time and an accumulated charging amount corresponding to each charging time.
And determining a target charging platform period of the lithium iron phosphate battery according to the voltage slopes corresponding to all the charging moments and the charging parameters corresponding to all the charging moments, wherein the method can comprise the following steps:
determining the starting time of a target charging platform period according to the accumulated charging voltages corresponding to all charging time and preset time screening conditions;
determining a slope judgment threshold according to the accumulated charging voltages corresponding to all the charging moments and the accumulated charging amounts corresponding to all the charging moments; determining the end time of the target charging platform period according to the slope judging threshold and the voltage slopes corresponding to all the charging time;
And determining the target charging platform period of the lithium iron phosphate battery in the charging process according to the starting time of the target charging platform period and the ending time of the target charging platform period.
Optionally, the preset time screening condition may be a screening condition corresponding to a preset change of the accumulated charging voltage. Any time value in the target charging platform period is between the starting time of the target charging platform period and the ending time of the target charging platform period.
Therefore, according to the alternative implementation manner, the starting time of the target charging platform period can be accurately determined according to the accumulated charging voltages corresponding to all charging time and the preset time screening conditions, the slope judgment threshold is determined according to the accumulated charging voltages corresponding to all charging time and the accumulated charging amount, the ending time of the target charging platform period is accurately determined according to the slope judgment threshold and all voltage slopes, and the accuracy and reliability of the determination of the target charging platform period can be improved through the starting time and the ending time of the target charging platform period.
In this optional embodiment, optionally, determining the starting time of the target charging platform period according to the accumulated charging voltages corresponding to all the charging time and the preset time screening condition may include:
Screening out target charging voltage which appears for the first time from accumulated charging voltages corresponding to all charging moments; determining a charging time corresponding to the target charging voltage as a starting time of a target charging platform period;
and determining the end time of the target charging platform period according to the slope determination threshold and the voltage slopes corresponding to all the charging time, including:
screening a target voltage slope which appears for the first time from all voltage slopes according to the slope judging threshold and the voltage slopes corresponding to all charging moments;
and determining the charging time corresponding to the target voltage slope as the ending time of the target charging platform period.
The target charging voltage is smaller than all adjacent accumulated charging voltages; the target voltage slope is greater than the slope determination threshold.
In the embodiment of the present invention, specifically, the screening of the target charging voltage that occurs for the first time from the accumulated charging voltages corresponding to all the charging moments may include:
screening out alternative charging voltages smaller than all adjacent accumulated charging voltages from the accumulated charging voltages corresponding to all charging moments;
and screening the alternative charging voltage corresponding to the earliest charging time from all the alternative charging voltages, and taking the alternative charging voltage as the target charging voltage which appears for the first time.
And screening the first-appearing target voltage slope from all the voltage slopes according to the slope determination threshold and the voltage slopes corresponding to all the charging moments, which may include:
screening all alternative voltage slopes larger than a slope judgment threshold value from voltage slopes corresponding to all charging moments;
and screening the candidate voltage slope corresponding to the earliest charging time from all the candidate voltage slopes, and taking the candidate voltage slope as the target voltage slope which appears for the first time.
Therefore, the alternative charging voltages smaller than all adjacent accumulated charging voltages can be screened out, and the target charging voltage which appears for the first time is screened out of all the alternative charging voltages, so that the screening accuracy and reliability of the target charging voltage can be improved; and the method can screen out all the alternative voltage slopes larger than the slope judgment threshold value, and screen out the target voltage slope appearing for the first time from all the alternative voltage slopes, so that the screening accuracy and reliability of the target voltage slope can be improved.
As can be seen, in this alternative embodiment, the charging time corresponding to the target charging voltage that is smaller than all the adjacent accumulated charging voltages and appears for the first time can also be determined as the starting time of the target charging platform period, and the charging time corresponding to the target voltage slope that is larger than the slope determination threshold and appears for the first time can be determined as the ending time of the target charging platform period, so that the accuracy and reliability of determining the starting time and the ending time of the target charging platform period can be improved.
In this optional embodiment, further optionally, determining the slope determination threshold according to the accumulated charging voltages corresponding to all the charging moments and the accumulated charging amounts corresponding to all the charging moments may include:
for each charging time, inputting the accumulated charging voltage corresponding to the charging time and the accumulated charging quantity corresponding to the charging time into a predetermined derivative formula for derivative calculation to obtain a derivative result corresponding to the charging time;
performing curve fitting on the derivative results corresponding to all the charging moments to obtain curve fitting results;
screening all target derivative results meeting the preset curve change trend from all derivative results according to the curve fitting result;
and carrying out fusion processing on all target derivative results to obtain a slope judgment threshold value.
In the embodiment of the present invention, specifically, as shown in fig. 4, a curve fitting diagram corresponding to a derivative result of an accumulated charging voltage and an accumulated charging amount disclosed in the embodiment of the present invention is shown, where a curve in the curve fitting diagram shown in fig. 4 is used to represent a relationship between a derivative result corresponding to each charging time and an accumulated charging amount corresponding to each charging time in a target charging process, and an R value shown in fig. 4 is the slope determination threshold.
In the embodiment of the present invention, optionally, the change trend of the derivative result corresponding to the target derivative result selected from all the derivative results may refer to the change trend of the derivative result corresponding to the line below in fig. 4. Alternatively, the above-mentioned fusion process may be a weighted average process, which is not limited in the embodiment of the present invention.
Therefore, the alternative implementation manner can also conduct derivation on the accumulated charging voltage and the accumulated charging amount corresponding to each charging time, obtain derivative results corresponding to each charging time, accurately screen all target derivative results meeting the preset curve change trend from all derivative results according to curve fitting results of all derivative results, and conduct fusion processing on all target derivative results screened and screened, so that determination accuracy and reliability of the slope determination threshold can be improved.
In another alternative embodiment, in step 203, calculating the target cycle number of the lithium iron phosphate battery according to the calculated target charging duration of the target charging plateau may include:
acquiring initial charging time length of a second platform period of the lithium iron phosphate battery in an initial charging process;
inputting the calculated target charging duration and initial charging duration of the target charging platform period into a pre-trained charging duration calculation model for inverse operation to obtain the target cycle times of the lithium iron phosphate battery;
The charging duration calculation model of the second platform stage in any charging process is as follows:
ΔT＝T 1 -a×exp(bx)；
wherein DeltaT represents the charging duration of the second stage in a certain charging process, T 1 And (3) representing the initial charging duration of the lithium iron phosphate battery in the second stage of the initial charging process, wherein x represents the target cycle times of the lithium iron phosphate battery, and a and b are constants.
The cycle times corresponding to the initial charging process are smaller than the cycle times corresponding to the target charging process.
Optionally, the initial cycle number corresponding to the initial charging process may be the first cycle number of all cycle numbers of the lithium iron phosphate battery, or the second cycle number, or any other set cycle number, which is not limited in the embodiment of the present invention.
It should be noted that, the constant a and the constant b in the charge duration calculation model are obtained through training of a plurality of application scenarios (the influencing factors in each application scenario may include one or more of charge-discharge rate, charge-discharge frequency, ambient temperature, and depth of discharge, etc.).
In the embodiment of the present invention, specifically, as shown in fig. 5, a graph for representing a relationship between a charging duration of a second platform period and a cycle number in each cycle is disclosed in the embodiment of the present invention, where each time difference in fig. 5 is a charging duration of the second platform period in a charging process corresponding to each cycle number.
Therefore, the optional embodiment can input the calculated target charging duration of the target charging platform period and the obtained initial charging duration of the initial charging process into a pre-trained charging duration calculation model for inverse operation, accurately calculate the target cycle number of the lithium iron phosphate battery, and improve the calculation accuracy and reliability of the target cycle number.
Example III
Referring to fig. 6, fig. 6 is a schematic structural diagram of a battery cycle number calculating device according to an embodiment of the invention. The computing device for the battery cycle number described in fig. 6 may include a computing device or a computing server, where the computing server may include a cloud server or a local server, and the embodiment of the present invention is not limited. As shown in fig. 6, the battery cycle number calculating means may include:
an obtaining module 301, configured to obtain a set of charging parameters of the lithium iron phosphate battery in a target charging process; the charging parameter set comprises charging parameters corresponding to each charging moment in a plurality of charging moments contained in the target charging process; the target charging process is one of all charging processes of the lithium iron phosphate battery, and each charging process has a corresponding cycle number.
The first determining module 302 is configured to determine a target charging platform period of the lithium iron phosphate battery according to all the charging moments and charging parameters corresponding to all the charging moments.
The calculating module 303 is configured to calculate a target cycle number of the lithium iron phosphate battery according to the calculated target charging duration of the target charging plateau.
Therefore, the calculating device for the cycle times of the battery described by the embodiment of the invention can accurately determine the target charging platform period of the lithium iron phosphate battery according to the acquired multiple charging parameters of the lithium iron phosphate battery in the target charging process, and can improve the accuracy of calculating the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period, thereby being beneficial to improving the use safety of the lithium iron phosphate battery.
In an alternative embodiment, the charging parameter corresponding to each charging time includes a charging voltage variation value corresponding to each charging time;
the first determining module 302 may specifically determine the target charging platform period of the lithium iron phosphate battery according to all the charging moments and the charging parameters corresponding to all the charging moments, where the determining method includes:
Calculating the voltage slope corresponding to each charging time according to each charging time, the charging parameter corresponding to each charging time and the determined voltage slope calculation model;
determining a target charging platform period of the lithium iron phosphate battery according to the voltage slopes corresponding to all the charging moments and the charging parameters corresponding to all the charging moments;
the voltage slope calculation model corresponding to each charging time is as follows:
where k represents the voltage slope at the charging time t, ΔU t Shows the change value of the charging voltage at the charging time t, deltaU t-i The charging voltage change value at the charging time t-i is represented, and Δt represents the charging time period from the charging time t-i to the charging time t.
Therefore, according to the alternative embodiment, each charging time and the charging parameters corresponding to the charging time can be input into the voltage slope calculation model, the voltage slope of each charging time can be accurately calculated, the target charging platform period of the lithium iron phosphate battery can be accurately determined according to the voltage slopes and the charging parameters corresponding to all the charging times which are accurately calculated, and the determination accuracy of the target charging platform period can be improved.
In this optional embodiment, as an optional implementation manner, the charging parameter corresponding to each charging time further includes an accumulated charging voltage corresponding to each charging time and an accumulated charging amount corresponding to each charging time;
The method for determining the target charging platform period of the lithium iron phosphate battery by the first determining module 302 according to the voltage slopes corresponding to all the charging moments and the charging parameters corresponding to all the charging moments may specifically include:
determining the starting time of a target charging platform period according to the accumulated charging voltages corresponding to all charging time and preset time screening conditions;
determining a slope judgment threshold according to the accumulated charging voltages corresponding to all the charging moments and the accumulated charging amounts corresponding to all the charging moments; determining the end time of the target charging platform period according to the slope judging threshold and the voltage slopes corresponding to all the charging time;
and determining the target charging platform period of the lithium iron phosphate battery in the charging process according to the starting time of the target charging platform period and the ending time of the target charging platform period.
Therefore, according to the alternative implementation manner, the starting time of the target charging platform period can be accurately determined according to the accumulated charging voltages corresponding to all charging time and the preset time screening conditions, the slope judgment threshold is determined according to the accumulated charging voltages corresponding to all charging time and the accumulated charging amount, the ending time of the target charging platform period is accurately determined according to the slope judgment threshold and all voltage slopes, and the accuracy and reliability of the determination of the target charging platform period can be improved through the starting time and the ending time of the target charging platform period.
In this optional embodiment, optionally, the manner of determining, by the first determining module 302, the starting time of the target charging platform period according to the accumulated charging voltages corresponding to all the charging time periods and the preset time screening condition may specifically include:
screening out target charging voltage which appears for the first time from accumulated charging voltages corresponding to all charging moments; the target charging voltage is smaller than all adjacent accumulated charging voltages;
determining a charging time corresponding to the target charging voltage as a starting time of a target charging platform period;
and, the method for determining the end time of the target charging plateau by the first determining module 302 according to the slope determination threshold and the voltage slopes corresponding to all the charging time may specifically include:
screening a target voltage slope which appears for the first time from all voltage slopes according to the slope judging threshold and the voltage slopes corresponding to all charging moments; the target voltage slope is greater than the slope determination threshold;
and determining the charging time corresponding to the target voltage slope as the ending time of the target charging platform period.
As can be seen, in this alternative embodiment, the charging time corresponding to the target charging voltage that is smaller than all the adjacent accumulated charging voltages and appears for the first time can also be determined as the starting time of the target charging platform period, and the charging time corresponding to the target voltage slope that is larger than the slope determination threshold and appears for the first time can be determined as the ending time of the target charging platform period, so that the accuracy and reliability of determining the starting time and the ending time of the target charging platform period can be improved.
In this optional embodiment, further optionally, the manner in which the first determining module 302 determines the slope determination threshold according to the accumulated charging voltages corresponding to all the charging moments and the accumulated charging amounts corresponding to all the charging moments may specifically include:
for each charging time, inputting the accumulated charging voltage corresponding to the charging time and the accumulated charging quantity corresponding to the charging time into a predetermined derivative formula for derivative calculation to obtain a derivative result corresponding to the charging time;
performing curve fitting on the derivative results corresponding to all the charging moments to obtain curve fitting results;
screening all target derivative results meeting the preset curve change trend from all derivative results according to the curve fitting result;
and carrying out fusion processing on all target derivative results to obtain a slope judgment threshold value.
Therefore, the alternative implementation manner can also conduct derivation on the accumulated charging voltage and the accumulated charging amount corresponding to each charging time, obtain derivative results corresponding to each charging time, accurately screen all target derivative results meeting the preset curve change trend from all derivative results according to curve fitting results of all derivative results, and conduct fusion processing on all target derivative results screened and screened, so that determination accuracy and reliability of the slope determination threshold can be improved.
In another alternative embodiment, each charging process of the lithium iron phosphate battery includes a first plateau, a second plateau, and a third plateau;
the target charging plateau is a second plateau in the target charging process;
the calculating module 303 may specifically calculate the target cycle number of the lithium iron phosphate battery according to the calculated target charging duration of the target charging plateau, where the calculating module may include:
acquiring initial charging time length of a second platform period of the lithium iron phosphate battery in an initial charging process; the cycle times corresponding to the initial charging process are smaller than the cycle times corresponding to the target charging process;
inputting the calculated target charging duration and initial charging duration of the target charging platform period into a pre-trained charging duration calculation model for inverse operation to obtain the target cycle times of the lithium iron phosphate battery;
the charging duration calculation model of the second platform stage in any charging process is as follows:
ΔT＝T 1 -a×exp(bx)；
wherein DeltaT represents the charging duration of the second stage in a certain charging process, T 1 And (3) representing the initial charging duration of the lithium iron phosphate battery in the second stage of the initial charging process, wherein x represents the target cycle times of the lithium iron phosphate battery, and a and b are constants.
Therefore, the optional embodiment can input the calculated target charging duration of the target charging platform period and the obtained initial charging duration of the initial charging process into a pre-trained charging duration calculation model for inverse operation, accurately calculate the target cycle number of the lithium iron phosphate battery, and improve the calculation accuracy and reliability of the target cycle number.
In yet another alternative embodiment, the obtaining module 301 is further configured to obtain a rated cycle number of the lithium iron phosphate battery;
as shown in fig. 7, the apparatus may further include:
a second determining module 304, configured to determine a battery parameter of the lithium iron phosphate battery according to the target cycle number and the rated cycle number; the battery parameters include the current battery capacity of the lithium iron phosphate battery and/or the remaining service life of the lithium iron phosphate battery;
the acquiring module 301 is further configured to acquire an electrical quantity demand of the target device; the lithium iron phosphate battery is used for supplying power to the target equipment; the power requirement is used for representing the power required by the normal operation of the target equipment;
the second determining module 304 is further configured to determine a battery state of the lithium iron phosphate battery according to a battery parameter of the lithium iron phosphate battery and an electric quantity demand of the target device, where the battery state includes a healthy state or a non-healthy state; the state of health is used for indicating that the lithium iron phosphate battery does not need to be replaced, and the non-state of health is used for indicating that the lithium iron phosphate battery needs to be replaced.
Therefore, according to the alternative embodiment, the battery state of the lithium iron phosphate battery can be accurately determined according to the obtained rated cycle times and the electric quantity requirement of the lithium iron phosphate battery and the accurately calculated target cycle times, and whether the lithium iron phosphate battery needs to be replaced or not can be accurately judged through the battery state (the battery state comprises a healthy state or a non-healthy state), so that the replacement accuracy and reliability of the lithium iron phosphate battery can be improved.
Example IV
Referring to fig. 8, fig. 8 is a schematic diagram of a battery cycle count calculating device according to another embodiment of the invention. As shown in fig. 8, the battery cycle number calculating means may include:
a memory 401 storing executable program codes;
a processor 402 coupled with the memory 401;
the processor 402 invokes the executable program code stored in the memory 401 to perform the steps in the method for calculating the number of battery cycles described in the first or second embodiment of the present invention.
Example five
The embodiment of the invention discloses a computer storage medium which stores computer instructions for executing the steps in the method for calculating the battery cycle times described in the first or second embodiment of the invention when the computer instructions are called.
Example six
An embodiment of the present invention discloses a computer program product comprising a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute steps in the method for calculating the number of battery cycles described in the first embodiment or the second embodiment.
The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
Finally, it should be noted that: the embodiment of the invention discloses a method and a device for calculating the cycle times of a battery, which are disclosed by the embodiment of the invention and are only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (10)

1. A method for calculating a number of battery cycles, the method comprising:
acquiring a charging parameter set of the lithium iron phosphate battery in a target charging process; the charging parameter set comprises charging parameters corresponding to each charging moment in a plurality of charging moments contained in the target charging process;
determining a target charging platform period of the lithium iron phosphate battery according to all the charging moments and charging parameters corresponding to all the charging moments;
and calculating the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period.
2. The method according to claim 1, wherein the charging parameter corresponding to each charging time includes a charging voltage variation value corresponding to each charging time;
the determining the target charging platform period of the lithium iron phosphate battery according to all the charging moments and the charging parameters corresponding to all the charging moments comprises the following steps:
calculating the voltage slope corresponding to each charging time according to each charging time, the charging parameter corresponding to each charging time and the determined voltage slope calculation model;
determining a target charging platform period of the lithium iron phosphate battery according to all voltage slopes corresponding to the charging moments and all charging parameters corresponding to the charging moments;
the voltage slope calculation model corresponding to each charging time is as follows:
where k represents the voltage slope at the charging time t, ΔU t Shows the change value of the charging voltage at the charging time t, deltaU t-i The charging voltage change value when the charging time is t-i is represented, and delta t represents the charging time period from the charging time t-i to the charging time t.
3. The method according to claim 2, wherein the charging parameters corresponding to each of the charging moments further include an accumulated charging voltage corresponding to each of the charging moments and an accumulated charge amount corresponding to each of the charging moments;
The determining the target charging platform period of the lithium iron phosphate battery according to the voltage slopes corresponding to all the charging moments and the charging parameters corresponding to all the charging moments comprises the following steps:
determining the starting time of a target charging platform period according to the accumulated charging voltage corresponding to all the charging time and a preset time screening condition;
determining a slope judgment threshold according to the accumulated charging voltages corresponding to all the charging moments and the accumulated charging amounts corresponding to all the charging moments; determining the end time of the target charging platform period according to the slope judging threshold value and the voltage slopes corresponding to all the charging time;
and determining the target charging platform period of the lithium iron phosphate battery in the charging process according to the starting time of the target charging platform period and the ending time of the target charging platform period.
4. The method for calculating the cycle times of the battery according to claim 3, wherein determining the start time of the target charging plateau according to the accumulated charging voltages corresponding to all the charging time and the preset time screening conditions includes:
screening out target charging voltage which appears for the first time from the accumulated charging voltages corresponding to all the charging moments; the target charging voltage is smaller than all adjacent accumulated charging voltages;
Determining a charging time corresponding to the target charging voltage as a starting time of a target charging platform period;
and determining the end time of the target charging platform period according to the slope determination threshold and the voltage slopes corresponding to all the charging time, including:
according to the slope judging threshold value and the voltage slopes corresponding to all the charging moments, screening out target voltage slopes appearing for the first time from all the voltage slopes; the target voltage slope is greater than the slope determination threshold;
and determining the charging time corresponding to the target voltage slope as the ending time of the target charging platform period.
5. The method according to claim 3 or 4, wherein the determining the slope determination threshold value based on the accumulated charge voltages corresponding to all the charge times and the accumulated charge amounts corresponding to all the charge times includes:
for each charging time, inputting the accumulated charging voltage corresponding to the charging time and the accumulated charging quantity corresponding to the charging time into a predetermined derivative formula for derivative calculation to obtain a derivative result corresponding to the charging time;
Performing curve fitting on derivative results corresponding to all the charging moments to obtain curve fitting results;
screening all target derivative results meeting the preset curve change trend from all derivative results according to the curve fitting results;
and carrying out fusion processing on all the target derivative results to obtain a slope judgment threshold value.
6. The method according to any one of claims 1 to 4, wherein each charging process of the lithium iron phosphate battery includes a first plateau, a second plateau, and a third plateau;
the target charging plateau is a second plateau in the target charging process;
the target charging process is one of all charging processes of the lithium iron phosphate battery, and each charging process has corresponding cycle times;
the calculating the target cycle number of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period comprises the following steps:
acquiring initial charging time length of a second stage of the lithium iron phosphate battery in an initial charging process; the cycle times corresponding to the initial charging process are smaller than the cycle times corresponding to the target charging process;
Inputting the calculated target charging duration of the target charging platform period and the initial charging duration into a pre-trained charging duration calculation model for inverse operation to obtain the target cycle number of the lithium iron phosphate battery;
the charging duration calculation model of the second platform period in any charging process is as follows:
ΔT＝T 1 -a×exp(bx)；
wherein DeltaT represents the charging duration of the second stage in a certain charging process, T 1 And (3) representing the initial charging duration of the lithium iron phosphate battery in the second stage of the initial charging process, wherein x represents the target cycle times of the lithium iron phosphate battery, and a and b are constants.
7. The method for calculating the number of battery cycles according to any one of claims 1 to 4, further comprising:
obtaining rated cycle times of the lithium iron phosphate battery;
determining battery parameters of the lithium iron phosphate battery according to the target cycle times and the rated cycle times; the battery parameters comprise the current battery capacity of the lithium iron phosphate battery and/or the residual service life of the lithium iron phosphate battery;
acquiring the electric quantity requirement of target equipment; the lithium iron phosphate battery is used for supplying power to the target equipment; the electric quantity requirement is used for representing the electric quantity required by the normal work of the target equipment;
Determining a battery state of the lithium iron phosphate battery according to battery parameters of the lithium iron phosphate battery and the electric quantity requirement of the target equipment, wherein the battery state comprises a healthy state or a non-healthy state; the state of health is used for indicating that the lithium iron phosphate battery does not need to be replaced, and the non-state of health is used for indicating that the lithium iron phosphate battery needs to be replaced.
8. A device for calculating a number of battery cycles, the device comprising:
the acquisition module is used for acquiring a charging parameter set of the lithium iron phosphate battery in a target charging process; the charging parameter set comprises charging parameters corresponding to each charging moment in a plurality of charging moments contained in the target charging process;
the first determining module is used for determining a target charging platform period of the lithium iron phosphate battery according to all the charging moments and charging parameters corresponding to all the charging moments;
and the calculating module is used for calculating the target cycle times of the lithium iron phosphate battery according to the calculated target charging duration of the target charging platform period.
9. A device for calculating a number of battery cycles, the device comprising:
A memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to perform the method of calculating the number of battery cycles as claimed in any one of claims 1 to 7.
10. A computer storage medium storing computer instructions which, when invoked, are adapted to perform the method of calculating the number of battery cycles of any one of claims 1 to 7.
CN202310679565.6A 2023-06-08 2023-06-08 Calculation method and device for battery cycle times Pending CN116908723A (en)

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