CN117452240A - Method and device for measuring and calculating charge state of battery pack - Google Patents
Method and device for measuring and calculating charge state of battery pack Download PDFInfo
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- CN117452240A CN117452240A CN202311308733.7A CN202311308733A CN117452240A CN 117452240 A CN117452240 A CN 117452240A CN 202311308733 A CN202311308733 A CN 202311308733A CN 117452240 A CN117452240 A CN 117452240A
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- 238000000034 method Methods 0.000 title claims abstract description 60
- 229910052744 lithium Inorganic materials 0.000 claims abstract description 176
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims abstract description 173
- 229920000642 polymer Polymers 0.000 claims abstract description 138
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 claims abstract description 121
- 230000002159 abnormal effect Effects 0.000 claims abstract description 50
- 229920001897 terpolymer Polymers 0.000 claims abstract description 43
- 230000036541 health Effects 0.000 claims description 22
- 230000005856 abnormality Effects 0.000 claims description 19
- 238000007600 charging Methods 0.000 claims description 19
- 230000010354 integration Effects 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 7
- 230000003862 health status Effects 0.000 description 16
- 230000008569 process Effects 0.000 description 13
- 238000010586 diagram Methods 0.000 description 11
- 238000012937 correction Methods 0.000 description 8
- 230000015654 memory Effects 0.000 description 7
- 238000005259 measurement Methods 0.000 description 6
- 238000012544 monitoring process Methods 0.000 description 6
- 238000012360 testing method Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 5
- 238000004590 computer program Methods 0.000 description 5
- 238000004422 calculation algorithm Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000003068 static effect Effects 0.000 description 4
- 239000005955 Ferric phosphate Substances 0.000 description 3
- 230000032683 aging Effects 0.000 description 3
- 229940032958 ferric phosphate Drugs 0.000 description 3
- WBJZTOZJJYAKHQ-UHFFFAOYSA-K iron(3+) phosphate Chemical compound [Fe+3].[O-]P([O-])([O-])=O WBJZTOZJJYAKHQ-UHFFFAOYSA-K 0.000 description 3
- 229910000399 iron(III) phosphate Inorganic materials 0.000 description 3
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010277 constant-current charging Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 229910001416 lithium ion Inorganic materials 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000000275 quality assurance Methods 0.000 description 1
Classifications
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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
- 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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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Abstract
The embodiment of the application provides a method and a device for measuring and calculating the charge state of a battery pack, wherein the battery pack is formed by connecting at least two lithium iron phosphate batteries and at least one terpolymer lithium battery in series, rated capacities of the lithium iron phosphate batteries and the terpolymer lithium batteries are the same, and battery attenuation data of the lithium iron phosphate batteries and the terpolymer lithium batteries are the same, and the method comprises the following steps: calculating a first state of charge of the lithium iron phosphate battery; calculating a second state of charge of the ternary polymer lithium battery; determining whether the state of the ternary polymer lithium battery is abnormal; and if the state of the ternary polymer lithium battery is not abnormal, determining the second charge state as the target charge state of the battery pack. The technical scheme provided by the embodiment of the application can improve the accuracy of measuring and calculating the charge state of the battery pack.
Description
Technical Field
The application relates to the technical field of batteries, in particular to a method and a device for measuring and calculating a charge state of a battery pack.
Background
The state of charge of the battery pack is closely related to the calculated battery pack battery power, state of health value and the like, and the accurate battery pack state of charge is displayed, so that the use experience of a user on the power battery can be improved. At present, the lithium iron phosphate battery has the characteristics of low price, high safety and the like, and is widely applied to the field of power batteries, but the accuracy for measuring and calculating the charge state of the lithium iron phosphate battery in the prior art is low, so that the use experience of a user is reduced. Based on this, how to improve the accuracy of measuring and calculating the state of charge of the battery pack is a technical problem to be solved.
Disclosure of Invention
The embodiment of the application provides a method and a device for measuring and calculating the charge state of a battery pack, and the accuracy for measuring and calculating the charge state of the battery pack can be improved based on the technical scheme.
Other features and advantages of the present application will be apparent from the following detailed description, or may be learned in part by the practice of the application.
According to a first aspect of embodiments of the present application, there is provided a method for measuring and calculating a state of charge of a battery pack, where the battery pack is formed by connecting at least two lithium iron phosphate batteries and at least one lithium terpolymer battery in series, rated capacities of the lithium iron phosphate batteries and the lithium terpolymer batteries are the same, and battery attenuation data of the lithium iron phosphate batteries and the lithium terpolymer batteries are the same, the method includes: calculating a first state of charge of the lithium iron phosphate battery; calculating a second state of charge of the ternary polymer lithium battery; determining whether the state of the ternary polymer lithium battery is abnormal; and if the state of the ternary polymer lithium battery is not abnormal, determining the second charge state as the target charge state of the battery pack.
In some embodiments of the present application, based on the foregoing, the number of lithium iron phosphate cells in the battery pack is greater than the number of lithium terpolymer cells.
In some embodiments of the present application, based on the foregoing aspect, the calculating the first state of charge of the lithium iron phosphate battery includes: calculating a first reference charge state of the lithium iron phosphate battery by an ampere-hour integration method; acquiring a first SOC-OCV curve of the lithium iron phosphate battery; and correcting the first reference charge state based on the first SOC-OCV curve to obtain the first charge state.
In some embodiments of the present application, based on the foregoing aspect, the calculating the second state of charge of the lithium-polymer-ternary battery includes: calculating a second reference charge state of the ternary polymer lithium battery by an ampere-hour integration method; acquiring a second SOC-OCV curve of the ternary polymer lithium battery; and correcting the second reference charge state based on the second SOC-OCV curve to obtain the second charge state.
In some embodiments of the present application, based on the foregoing aspect, the determining whether the state of the ternary polymer lithium battery is abnormal includes: acquiring state data of the battery pack; and determining whether the state of the ternary polymer lithium battery is abnormal or not based on the state data.
In some embodiments of the present application, based on the foregoing solution, the status data includes a failure level of the ternary polymer lithium battery, and the determining, based on the status data, whether there is an abnormality in the status of the ternary polymer lithium battery includes: and if the fault grade is higher than a preset grade, determining that the state of the ternary polymer lithium battery is abnormal.
In some embodiments of the present application, based on the foregoing scheme, the status data includes a first health status value of the lithium iron phosphate battery and a second health status value of the lithium terpolymer battery, and the determining, based on the status data, whether the status of the lithium terpolymer battery is abnormal includes: and if the first health state value is larger than the second health state value and the difference between the first health state value and the second health state value is larger than a preset difference, determining that the state of the ternary polymer lithium battery is abnormal.
In some embodiments of the present application, based on the foregoing solution, the state data includes actual impedance data of the ternary polymer lithium battery during charging, and the determining, based on the state data, whether there is an abnormality in the state of the ternary polymer lithium battery includes: determining a maximum impedance value in the actual impedance data; and if the maximum impedance value is larger than a preset impedance threshold value, determining that the state of the ternary polymer lithium battery is abnormal.
In some embodiments of the present application, based on the foregoing scheme, the method further includes: if the state of the ternary polymer lithium battery is abnormal, determining whether the state of the lithium iron phosphate is abnormal; and if the state of the lithium iron phosphate is not abnormal, determining the first state of charge as a target state of charge of the battery pack.
According to a second aspect of embodiments of the present application, there is provided a device for measuring and calculating a state of charge of a battery pack, the battery pack is formed by connecting at least two lithium iron phosphate batteries and at least one lithium terpolymer battery in series, rated capacities of the lithium iron phosphate batteries and the lithium terpolymer batteries are the same, and battery attenuation data of the lithium iron phosphate batteries and the lithium terpolymer batteries are the same, the device includes: a first calculation unit for calculating a first state of charge of the lithium iron phosphate battery; a second calculation unit for calculating a second state of charge of the ternary polymer lithium battery; a first determining unit for determining whether the state of the ternary polymer lithium battery is abnormal; and a second determining unit configured to determine the second state of charge as a target state of charge of the battery pack if there is no abnormality in the state of the ternary polymer lithium battery.
According to a third aspect of embodiments of the present application, there is provided a computer readable storage medium, wherein at least one program code is stored in the computer readable storage medium, the at least one program code being loaded and executed by a processor to implement operations performed by a method as described in any of the first aspects above.
According to a fourth aspect of embodiments of the present application, there is provided a battery system comprising one or more processors and one or more memories having stored therein at least one piece of program code loaded and executed by the one or more processors to implement the operations performed by the method of any of the first aspects described above.
According to the technical scheme, firstly, the structure of a battery pack is constructed that at least two lithium iron phosphate batteries and at least one terpolymer lithium battery are connected in series, the rated capacities of the lithium iron phosphate batteries and the terpolymer lithium batteries are guaranteed to be the same, the battery attenuation data of the lithium iron phosphate batteries and the battery attenuation data of the terpolymer lithium batteries are the same, and secondly, in the process of determining the target state of charge of the battery pack, the first state of charge of the lithium iron phosphate batteries is calculated firstly; and calculating a second state of charge of the ternary polymer lithium battery; determining whether the state of the ternary polymer lithium battery is abnormal or not; finally, if the state of the ternary polymer lithium battery is not abnormal, the second state of charge is determined to be the target state of charge of the battery pack. Because the battery characteristic of the ternary polymer lithium battery enables the accuracy of the determined second state of charge of the ternary polymer lithium battery to be higher than that of the first state of charge of the ferric phosphate lithium battery, in the technical scheme of the application, the second state of charge of the ternary polymer lithium battery in a normal state is adopted as the target state of charge of the target battery, the true state of charge of the target battery can be reflected more, and therefore the accuracy of measuring and calculating the state of charge of the target battery is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is apparent that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art. In the drawings:
FIG. 1 shows a schematic diagram of a first SOC-OCV curve of a lithium iron phosphate battery in accordance with one embodiment of the present application;
FIG. 2 shows a schematic diagram of a second SOC-OCV curve of the lithium-polymer ternary battery according to one embodiment of the present application;
FIG. 3 illustrates a flow diagram of a method of battery pack state of charge measurement according to one embodiment of the present application;
FIG. 4 shows a detailed flow diagram of calculating a first state of charge of the lithium iron phosphate battery according to one embodiment of the present application;
FIG. 5 shows a detailed flow diagram of determining whether there is an abnormality in the state of the lithium-polymer ternary battery according to one embodiment of the present application;
FIG. 6 illustrates a block diagram of a battery pack state of charge measurement device according to one embodiment of the present application;
fig. 7 shows a schematic structural view of a battery system according to an embodiment of the present application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present application. One skilled in the relevant art will recognize, however, that the aspects of the application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the application.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The battery pack referred to in the present application may provide a power source for an electric vehicle, an electric automobile, or the like.
It should be further noted that, in the present application, the state of charge refers to a ratio of the available electric quantity in the battery to the rated capacity of the battery, for example, the first state of charge of the lithium iron phosphate battery refers to a ratio of the current available electric quantity of the lithium iron phosphate battery to the rated capacity of the lithium iron phosphate battery.
In order to enable those skilled in the art to better understand the technical solutions of the present application, the following details of the background art of the present application will be described with reference to fig. 1:
referring to fig. 1, a schematic diagram of a first SOC-OCV curve of a lithium iron phosphate battery according to one embodiment of the present application is shown.
At present, a main scheme of a power battery for a vehicle is to adopt a plurality of lithium iron phosphate batteries to be connected in series to obtain a battery pack to provide a power source for the electric vehicle, and the structure is usually used for measuring and calculating the charge state of the lithium iron phosphate batteries to be used as the charge state of the battery pack. Although the lithium iron phosphate battery has the advantages of low price, high safety and the like, the lithium iron phosphate battery also has the characteristics of poor low-temperature performance and difficult estimation of the battery state.
At present, the inaccurate measurement and calculation of the state of charge of the lithium iron phosphate battery is related to the curve characteristics of the SOC-OCV curve of the lithium iron phosphate battery.
The first SOC-OCV curve for a lithium iron phosphate battery may be obtained by HPPC testing, as shown in fig. 1, illustrating a possible first SOC-OCV curve for a lithium iron phosphate battery.
As can be seen from fig. 1, the first SOC-OCV curve of the lithium iron phosphate battery has a large slope variation in two sections of the SOC range of [0, 10% ] and [90%,100% ] such that the curve is steeper in the two sections, but has a small slope variation in the section of the SOC range of [10%,90% ] such that the curve is flatter in the section.
In the process of measuring and calculating the state of charge of the lithium iron phosphate battery, the SOC corresponding to the voltage value needs to be extracted from the first SOC-OCV curve to measure and calculate the state of charge, so that if the determined voltage value of the lithium iron phosphate battery is located in the [3.2V,3.4V ] interval shown in the figure 1, the accurate SOC corresponding to the voltage value is difficult to extract due to the fact that the curve is relatively flat, the accuracy of the state of charge of the determined lithium iron phosphate battery is low, the accuracy of the battery pack state of charge is further reduced, and the use experience of a user on the power battery is reduced.
Therefore, the present application proposes a method for measuring and calculating the charge state of the battery pack to solve the defect.
After the inventor of the application performs creative labor, the ternary polymer lithium battery which can be applied to the field of power batteries has the advantages of high energy density, good low-temperature performance, easier estimation of battery state and the like.
By observing the second SOC-OCV curve of the lithium terpolymer battery (as shown in fig. 2, which shows a possible second SOC-OCV curve of the lithium terpolymer battery, it can be determined by HPPC test) that the second SOC-OCV curve of the lithium terpolymer battery has a larger slope in the interval of SOC [0, 100% ], so that the curve is very steep in the whole interval, and thus, a very accurate SOC corresponding to the voltage value can be extracted, and further, the state of charge of the lithium terpolymer battery obtained by measurement is very accurate.
Based on the above description, it can be appreciated that there is a significant difference between the first SOC-OCV curve of the lithium iron phosphate battery and the second SOC-OCV curve of the ternary polymer lithium battery, and based on this feature, the present inventors propose that the accuracy of measuring and calculating the charge state of the battery pack can be improved by employing two different types of battery cells in the battery pack to form the battery pack.
Specifically, a battery pack with reasonable design is needed first, and the application adopts at least two lithium iron phosphate batteries and at least one terpolymer lithium battery which are connected in series to obtain the battery pack.
Because the cost of the ternary polymer lithium battery is higher and the safety performance is relatively lower, in order to ensure that the accuracy of measuring and calculating the charge state of the battery pack is improved under the conditions of low cost and high safety, in some embodiments, the number of the lithium iron phosphate batteries in the battery pack can be set to be larger than that of the ternary polymer lithium batteries.
In some embodiments, the number of lithium-ternary polymer batteries in the battery pack may be set to 1.
In this embodiment, since the cost of the ternary polymer lithium battery is higher and the cost of the lithium iron phosphate battery is lower, only one ternary polymer lithium battery can be connected in series in the battery pack, so that the state of charge of the battery pack can be measured and calculated with high accuracy under the condition of low battery pack cost.
It should be noted that, in order to improve the accuracy of measuring and calculating the charge state of the battery pack in the present application, the lithium iron phosphate battery and the terpolymer lithium battery included in the designed battery pack should satisfy the following conditions: the rated capacities of the lithium iron phosphate battery and the ternary polymer lithium battery are the same, and the battery attenuation data of the lithium iron phosphate battery and the ternary polymer lithium battery are the same. The battery decay data refers to the aging trend of the battery in the battery quality assurance, namely the change trend of the rated capacity of the battery with time.
It is understood that the rated capacity of each battery cell included in the battery pack designed in the present application is the same, and the battery decay data of each battery cell is the same.
In the present application, after the structure of the battery pack is arranged, the measurement of the state of charge of the battery pack may be performed in accordance with the steps shown in fig. 3.
Referring to fig. 3, a flow chart of a method for measuring and calculating the charge state of a battery pack according to an embodiment of the present application is shown, which specifically includes the following steps S110 to S140:
step 110, calculating a first state of charge of the lithium iron phosphate battery.
In some embodiments, the embodiment of step S110 may be performed in accordance with the steps shown in fig. 4.
Referring to fig. 4, a detailed flowchart of calculating the first state of charge of the lithium iron phosphate battery according to an embodiment of the present application is shown, specifically including steps S111 to S113:
and step S111, calculating a first reference charge state of the lithium iron phosphate battery through an ampere-hour integration method.
In this embodiment, if the battery pack is in a charged state, the first reference charged state of the lithium iron phosphate battery may be calculated by using an ampere-hour integration algorithm as shown in the following formula 1:
Wherein SOC1 represents the first reference state of charge, SOC 01 C represents the charge state of the last lithium iron phosphate battery N1 Indicating the rated capacity of the lithium iron phosphate battery, I 1 Representing real-time monitoring of battery charging current, dt 1 Representing the time interval, eta, between monitoring of the charging current 1 The charging efficiency of the lithium iron phosphate battery is represented, and the charging efficiency can be valued through a curve of the change of the battery capacity of the lithium iron phosphate battery along with the ambient temperature.
In this embodiment, if the battery pack is in a discharge state, the first reference state of charge of the lithium iron phosphate battery may be calculated using an ampere-hour integration algorithm as described in the following formula 2:
wherein SOC1 represents the first reference state of charge, SOC 01 C represents the charge state of the last lithium iron phosphate battery N1 Indicating the rated capacity of the lithium iron phosphate battery, I 2 Representing the discharge current, dt of a battery monitored in real time 2 Representing the time interval, eta, between monitoring of the discharge current 2 The discharge efficiency of the lithium iron phosphate battery is represented, and the discharge efficiency can be valued through a curve of the change of the battery capacity of the lithium iron phosphate battery along with the ambient temperature.
It should be noted that, calculating the first reference state of charge of the lithium iron phosphate battery is related to the state of the lithium iron phosphate battery.
With continued reference to fig. 4, in step S112, a first SOC-OCV curve of the lithium iron phosphate battery is obtained.
In some embodiments, the first SOC-OCV curve of the lithium iron phosphate battery in the battery pack may be obtained by performing an HPPC test in advance. It can be appreciated that the first SOC-OCV curve of the resulting lithium iron phosphate battery is relatively flat due to the battery properties of the lithium iron phosphate battery, such as shown in fig. 1.
With continued reference to fig. 4, step S113 corrects the first reference state of charge based on the first SOC-OCV curve, resulting in the first state of charge.
It should be noted that, the specific embodiment of step S113 may be designed according to practical situations, including, but not limited to, correcting the first reference state of charge based on a static correction method, correcting the first reference state of charge based on a dynamic correction method, and so on.
For example, if the first reference state of charge is corrected based on a static correction method, specific embodiments may be performed as follows:
firstly, after a first reference charge state is obtained, standing the battery pack for more than 2 hours in a power-down state; obtaining a first open-circuit voltage of the lithium iron phosphate battery; determining a target SOC of the lithium iron phosphate battery corresponding to the first open-circuit voltage in the obtained first SOC-OCV curve; finally, comparing the first reference state of charge with the target SOC of the lithium iron phosphate battery, and taking the first reference state of charge as the first state of charge of the lithium iron phosphate battery if the first reference state of charge and the target SOC are the same; and if the target SOC and the target SOC are different, taking the target SOC as a first charge state of the lithium iron phosphate battery.
In summary, in the process of calculating the first state of charge of the lithium iron phosphate battery, the calculated first reference state of charge is corrected based on the first SOC-OCV curve of the lithium iron phosphate battery, and the corresponding target SOC of the lithium iron phosphate battery needs to be extracted from the first SOC-OCV curve based on the first open circuit voltage in the correction process, so that it can be seen that the accuracy of the extracted target SOC value of the lithium iron phosphate battery is lower due to the flatness of the first SOC-OCV curve, and therefore, if the first state of charge of the lithium iron phosphate battery is directly used as the target state of charge of the battery pack, the accuracy of the measured target state of charge of the battery pack is lower. Based on this, through improving the structure of battery package in this application, establish ties at least one terpolymer lithium cell in the battery package, the measuring and calculating method of battery package state of charge that combines this application to provide again, can promote the precision of measuring and calculating battery package state of charge.
With continued reference to fig. 3, a second state of charge of the lithium-polymer ternary battery is calculated, step 120.
In some embodiments, the specific embodiment of step S120 may be performed as follows steps S121 to S123:
Step S121, calculating a first reference charge state of the lithium iron phosphate battery by an ampere-hour integration method.
In this embodiment, if the battery pack is in a charged state, the second reference charged state of the ternary polymer lithium battery can be calculated using the ampere-hour integration algorithm described in the following formula 3:
wherein SOC2 represents the second reference state of charge, SOC 02 Representing the charge state of the last ternary polymer lithium battery, C N2 Represents the rated capacity of the ternary polymer lithium battery, I 1 Representing real-time monitoring of battery charging current, dt 1 Representing the time interval, eta, between monitoring of the charging current 3 The charging efficiency of the ternary polymer lithium battery is represented, and the ternary polymer lithium battery can be valued through a curve of the change of the battery capacity of the ternary polymer lithium battery along with the environmental temperature.
In this embodiment, if the battery pack is in a discharge state, the second reference state of charge of the ternary polymer lithium battery may be calculated using an ampere-hour integration algorithm as shown in the following equation 4:
wherein SOC2 represents the second reference state of charge, SOC 02 Representing the charge state of the last ternary polymer lithium battery, C N2 Represents the rated capacity of the ternary polymer lithium battery, I 2 Representing the discharge current, dt of a battery monitored in real time 2 Representing the time interval, eta, between monitoring of the discharge current 4 And the discharge efficiency of the ternary polymer lithium battery is represented, and the ternary polymer lithium battery can be valued through a curve of the change of the battery capacity of the ternary polymer lithium battery along with the environmental temperature.
Step S122, obtaining a second SOC-OCV curve of the ternary polymer lithium battery.
In some embodiments, the second SOC-OCV curve of the lithium terpolymer battery in the battery pack may be obtained by performing an HPPC test in advance. It can be appreciated that the second SOC-OCV curve of the resulting ternary polymer lithium battery is relatively steep due to the battery properties of the ternary polymer lithium battery, such as shown in fig. 2.
And step S123, correcting the second reference charge state based on the second SOC-OCV curve to obtain the second charge state.
It should be noted that, the specific embodiment of step S113 may be designed according to practical situations, including, but not limited to, correcting the second reference state of charge based on a static correction method, correcting the second reference state of charge based on a dynamic correction method, and so on.
For example, if the second reference state of charge is corrected based on a static correction method, specific embodiments may be performed as follows:
Firstly, after a second reference charge state is obtained, standing the battery pack for more than 2 hours in a power-down state; obtaining a second open-circuit voltage of the ternary polymer lithium battery; determining a target SOC of the ternary polymer lithium battery corresponding to the second open-circuit voltage in the acquired second SOC-OCV curve; finally, comparing the second reference charge state with the target SOC of the ternary polymer lithium battery, and taking the second reference charge state as the second charge state of the ternary polymer lithium battery if the second reference charge state and the target SOC are the same; and if the target SOC and the target SOC are different, taking the target SOC as a second charge state of the ternary polymer lithium battery.
It will be appreciated that the time to correct the first reference state of charge is the same as the time to correct the second reference state of charge to ensure data synchronism.
In summary, in the process of calculating the second state of charge of the ternary polymer lithium battery, the calculated second reference state of charge is corrected based on the second SOC-OCV curve of the ternary polymer lithium battery, and the corresponding ternary polymer lithium battery target SOC needs to be extracted from the second SOC-OCV curve based on the second open circuit voltage in the process of correction, so that it can be seen that the accuracy of the extracted ternary polymer lithium battery target SOC is higher due to the steeper second SOC-OCV curve, and therefore if the second state of charge of the ternary polymer lithium battery is directly used as the target state of charge of the battery pack, the accuracy of the measured target state of charge of the battery pack is higher.
In the battery pack, the temperatures of the lithium iron phosphate battery and the ternary polymer lithium battery are completely consistent, and therefore, it is considered that if the ternary polymer lithium battery is in a normal condition, the second state of charge of the ternary polymer lithium battery can completely replace the first state of charge of the lithium iron phosphate battery, so that the second state of charge is the target state of charge of the battery pack.
Therefore, it is very critical to determine whether there is abnormality in the state of the ternary polymer lithium battery, and the specific embodiment may be performed as follows.
With continued reference to fig. 3, a determination is made as to whether an abnormality exists in the state of the lithium-polymer ternary battery, step 130.
In some embodiments, the embodiment of step S130 may be performed in accordance with the steps shown in fig. 5.
Referring to fig. 5, a detailed flowchart of determining whether there is an abnormality in the state of the ternary polymer lithium battery according to an embodiment of the present application is shown, specifically including steps S131 to S132:
step S131, acquiring state data of the battery pack.
It should be noted that the status data includes, but is not limited to, historical charge/discharge process data of the battery pack, failure level of the ternary polymer lithium battery, first health status value of the lithium iron phosphate battery, second health status value of the ternary polymer lithium battery, actual impedance data of the ternary polymer lithium battery during charging, and the like.
Step S132, based on the state data, determining whether the state of the ternary polymer lithium battery is abnormal.
It should be noted that the specific embodiment of step S132 is related to the type of the selected status data, and if the selected status data is different, the embodiment of step S132 is also different.
In some embodiments, if the status data includes a failure level of the lithium-polymer ternary battery, the specific embodiment of step S132 may be performed according to the following step S1321A:
and step S1321A, if the fault grade is higher than a preset grade, determining that the state of the ternary polymer lithium battery is abnormal.
It should be noted that, the fault level of the ternary polymer lithium battery is determined according to the historical operation data of the ternary polymer lithium battery, for example, according to the historical over-temperature, over-voltage, over-current and other parameters of the ternary polymer lithium battery, and in general, the fault level may be classified into 9 levels according to the fault severity of the ternary polymer lithium battery, including fault levels 1-9, where the lower the fault level, the lower the fault severity of the ternary polymer lithium battery.
For example, the preset level may be set to the third level, and thus if it is determined that the failure level of the ternary polymer lithium battery is higher than the third level, the state of the ternary polymer lithium battery is considered to be abnormal.
In some embodiments, if the status data includes a first health status value of the lithium iron phosphate battery and a second health status value of the lithium terpolymer battery, the specific embodiment of step S132 may be performed according to the following step S1321B:
in step S1321B, if the first health status value is greater than the second health status value and the difference between the first health status value and the second health status value is greater than the preset difference, it is determined that the state of the ternary polymer lithium battery is abnormal.
In some embodiments, if the difference obtained by subtracting the second health state value from the first health state value is greater than the preset difference, it is determined that there is an abnormality in the state of the ternary polymer lithium battery, and the preset difference may be set to be within a range of 3% -5%.
It will be appreciated that, because the rated capacity and the battery decay data of the lithium iron phosphate battery in the battery pack are the same as those of the lithium ternary polymer battery, if the second health state value of the lithium ternary polymer battery is under normal conditions, the second health state value of the lithium iron phosphate battery should be very small from the first health state value of the lithium iron phosphate battery, and therefore if it is determined that the difference between the first health state value and the second health state value is greater than the preset difference, it indicates that the aging degree of the lithium ternary polymer battery is serious and is abnormal.
In some embodiments, if the state data includes actual impedance data of the lithium-ion polymer battery during charging, the specific embodiment of step S132 may be performed as follows steps S1321C to S1322C:
step S1321C, determining a maximum impedance value in the actual impedance data.
It can be understood that the measured impedance data of the ternary polymer lithium battery is dynamically changed and unstable in the charging process of the battery pack, so that the obtained actual impedance data of the ternary polymer lithium battery in the charging process comprises a plurality of impedance values, and the impedance values can reflect the aging degree of the ternary polymer lithium battery.
And step S1322C, if the maximum impedance value is larger than a preset impedance threshold value, determining that the state of the ternary polymer lithium battery is abnormal.
In some embodiments, because the battery pack is charged in a fast charging mode in the actual charging process, that is, in a stepped constant current charging manner, the preset impedance threshold can be calculated through a standard fast charging test. The maximum allowable reference impedance value of the ternary polymer lithium battery in a normal state is determined through a standard quick charge test, and then the sum of the set compensation value and the maximum reference impedance value is used as the preset impedance threshold.
It can be understood that if the maximum impedance value of the battery in the actual charging process is greater than the preset impedance threshold, it indicates that the ternary polymer lithium battery is seriously aged and has abnormal state.
In summary, the above is a specific embodiment for determining that there is an abnormality in the state of the ternary polymer lithium battery. Possible embodiments for determining that there is no abnormality in the state of the ternary polymer lithium battery will be described below.
For example, if the status data includes the failure level of the ternary polymer lithium battery, the first health status value of the ferric phosphate lithium battery and the second health status value of the ternary polymer lithium battery, the actual impedance data of the ternary polymer lithium battery during the charging process, and the specific embodiment of determining that there is no abnormality in the status of the ternary polymer lithium battery may be performed according to the following step S1321E:
step S1321E, if the fault level is lower than the preset level, the second health status value is greater than the first health status value, and the maximum impedance value in the actual impedance data is smaller than a preset impedance threshold, determining that there is no abnormality in the state of the ternary polymer lithium battery.
With continued reference to fig. 3, if there is no abnormality in the state of the lithium-polymer-ternary battery, the second state of charge is determined to be the target state of charge of the battery pack, step 140.
It can be understood that if the ternary polymer lithium battery is in a normal state, the second state of charge of the ternary polymer lithium battery can more accurately reflect the real state of charge of the battery pack, so that the second state of charge of the normal ternary polymer lithium battery is used as the target state of charge of the battery pack, and the accuracy of measuring and calculating the state of charge of the target battery can be improved.
In some embodiments of the present application, if it is determined that there is an abnormality in the state of the ternary polymer lithium battery, the following steps S150 to S160 may be performed:
and step S150, if the state of the ternary polymer lithium battery is abnormal, determining whether the state of the lithium iron phosphate is abnormal.
In some embodiments, the logic of step S132 described above may be employed to determine whether there is an abnormality in the state of the lithium iron phosphate battery.
And step S160, if the state of the lithium iron phosphate is not abnormal, determining the first state of charge as a target state of charge of the battery pack.
It can be understood that if the ternary polymer lithium battery is abnormal, the second state of charge of the ternary polymer lithium battery is not suitable to be used as the target state of charge of the target battery, so that the first state of charge of the normal lithium iron phosphate battery is used as the target state of charge, and the accuracy of measuring and calculating the state of charge of the target battery can be improved.
In some embodiments, if it is determined that there is an abnormality in the status of both the lithium-terpolymer battery and the lithium-iron-phosphate battery, it is indicated that the battery pack is failed and is unsuitable for continued use.
In some embodiments of the present application,
firstly, constructing a structure of a battery pack into a structure that at least two lithium iron phosphate batteries and at least one terpolymer lithium battery are connected in series, ensuring that rated capacities of the lithium iron phosphate batteries and the terpolymer lithium batteries are the same, and battery attenuation data of the lithium iron phosphate batteries and the terpolymer lithium batteries are the same, and secondly, in the process of determining a target state of charge of the battery pack, firstly calculating a first state of charge of the lithium iron phosphate batteries; and calculating a second state of charge of the ternary polymer lithium battery; determining whether the state of the ternary polymer lithium battery is abnormal or not; finally, if the state of the ternary polymer lithium battery is not abnormal, the second state of charge is determined to be the target state of charge of the battery pack. Because the battery characteristic of the ternary polymer lithium battery enables the accuracy of the determined second state of charge of the ternary polymer lithium battery to be higher than that of the first state of charge of the ferric phosphate lithium battery, in the technical scheme of the application, the second state of charge of the ternary polymer lithium battery in a normal state is adopted as the target state of charge of the target battery, the true state of charge of the target battery can be reflected more, and therefore the accuracy of measuring and calculating the state of charge of the target battery is improved.
Based on the same inventive concept, the embodiment of the present application provides a device for measuring and calculating the state of charge of a battery pack, which can be used for executing the method for measuring and calculating the state of charge of the battery pack in the above embodiment of the present application. For details not disclosed in the embodiments of the present application, please refer to an embodiment of the method for measuring and calculating the state of charge of the battery pack described in the present application.
Referring to fig. 6, a block diagram of a battery pack state of charge measurement device according to one embodiment of the present application is shown.
As shown in fig. 6, a device 600 for measuring and calculating a state of charge of a battery pack according to an embodiment of the present application, the battery pack is formed by connecting at least two lithium iron phosphate batteries and at least one lithium terpolymer battery in series, rated capacities of the lithium iron phosphate batteries and the lithium terpolymer batteries are the same, and battery attenuation data of the lithium iron phosphate batteries and the lithium terpolymer batteries are the same, the device comprises: a first calculation unit 601, a second calculation unit 602, a first determination unit 603, and a second determination unit 604.
Wherein the first calculating unit 601 is configured to calculate a first state of charge of the lithium iron phosphate battery; the second calculating unit 602 is configured to calculate a second state of charge of the ternary polymer lithium battery; the first determining unit 603 is configured to determine whether the state of the ternary polymer lithium battery is abnormal; the second determining unit 604 is configured to determine the second state of charge as the target state of charge of the battery pack if there is no abnormality in the state of the ternary polymer lithium battery.
In some embodiments of the present application, based on the foregoing, the number of lithium iron phosphate cells in the battery pack is greater than the number of lithium terpolymer cells.
In some embodiments of the present application, based on the foregoing scheme, the first computing unit 601 is further configured to: calculating a first reference charge state of the lithium iron phosphate battery by an ampere-hour integration method; acquiring a first SOC-OCV curve of the lithium iron phosphate battery; and correcting the first reference charge state based on the first SOC-OCV curve to obtain the first charge state.
In some embodiments of the present application, based on the foregoing scheme, the second computing unit 602 is further configured to: the calculating the second state of charge of the lithium terpolymer battery comprises: calculating a second reference charge state of the ternary polymer lithium battery by an ampere-hour integration method; acquiring a second SOC-OCV curve of the ternary polymer lithium battery; and correcting the second reference charge state based on the second SOC-OCV curve to obtain the second charge state.
In some embodiments of the present application, based on the foregoing solution, the first determining unit 603 is further configured to: acquiring state data of the battery pack; and determining whether the state of the ternary polymer lithium battery is abnormal or not based on the state data.
In some embodiments of the present application, based on the foregoing solution, the status data includes a failure level of the lithium-polymer-ternary battery, and the first determining unit 603 is further configured to: and if the fault grade is higher than a preset grade, determining that the state of the ternary polymer lithium battery is abnormal.
In some embodiments of the present application, based on the foregoing solution, the status data includes a first health status value of the lithium iron phosphate battery and a second health status value of the lithium terpolymer battery, and the first determining unit 603 is further configured to: and if the first health state value is larger than the second health state value and the difference between the first health state value and the second health state value is larger than a preset difference, determining that the state of the ternary polymer lithium battery is abnormal.
In some embodiments of the present application, based on the foregoing, the state data includes actual impedance data of the lithium-polymer-ternary battery during charging, and the first determining unit 603 is further configured to: determining a maximum impedance value in the actual impedance data; and if the maximum impedance value is larger than a preset impedance threshold value, determining that the state of the ternary polymer lithium battery is abnormal.
In some embodiments of the present application, based on the foregoing scheme, the second determining unit 604 is further configured to: if the state of the ternary polymer lithium battery is abnormal, determining whether the state of the lithium iron phosphate is abnormal; and if the state of the lithium iron phosphate is not abnormal, determining the first state of charge as a target state of charge of the battery pack.
Based on the same inventive concept, the embodiments of the present application also provide a computer-readable storage medium having stored therein at least one computer program instruction that is loaded and executed by a processor to implement the operations performed by the method as described above.
Based on the same inventive concept, the embodiment of the application also provides a battery system.
Referring to fig. 7, a schematic diagram of a battery system including one or more memories 704, one or more processors 702, and at least one computer program (computer program instructions) stored on the memories 704 and executable on the processors 702, the processor 702 implementing the methods as described above when executing the computer program, according to one embodiment of the application is shown.
Where in FIG. 7 a bus architecture (represented by bus 700), bus 700 may comprise any number of interconnected buses and bridges, with bus 700 linking together various circuits, including one or more processors, as represented by processor 702, and memory, as represented by memory 704. Bus 700 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., as are well known in the art and, therefore, will not be described further herein. Bus interface 705 provides an interface between bus 700 and receiver 701 and transmitter 703. The receiver 701 and the transmitter 703 may be the same element, i.e. a transceiver, providing a unit for communicating with various other apparatus over a transmission medium. The processor 702 is responsible for managing the bus 700 and general processing, while the memory 704 may be used to store data used by the processor 702 in performing operations.
The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software that is executed by a processor, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Other examples and implementations are within the scope and spirit of the present application and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwired, or a combination of any of these. In addition, each functional unit may be integrated in one processing unit, each unit may exist alone physically, or two or more units may be integrated in one unit.
In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate components may or may not be physically separate, and components as control devices may or may not be physical units, may be located in one place, or may be distributed over a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing computer program instructions.
The foregoing is merely exemplary of the present application and is not intended to limit the present application, and various modifications and variations may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for measuring and calculating the state of charge of a battery pack, wherein the battery pack is formed by connecting at least two lithium iron phosphate batteries and at least one lithium terpolymer battery in series, rated capacities of the lithium iron phosphate batteries and the lithium terpolymer batteries are the same, and battery attenuation data of the lithium iron phosphate batteries and the lithium terpolymer batteries are the same, the method comprising:
calculating a first state of charge of the lithium iron phosphate battery;
calculating a second state of charge of the ternary polymer lithium battery;
determining whether the state of the ternary polymer lithium battery is abnormal;
and if the state of the ternary polymer lithium battery is not abnormal, determining the second charge state as the target charge state of the battery pack.
2. The method of claim 1, wherein the number of lithium iron phosphate cells in the battery pack is greater than the number of lithium terpolymer cells.
3. The method of claim 1, wherein said calculating a first state of charge of said lithium iron phosphate battery comprises:
calculating a first reference charge state of the lithium iron phosphate battery by an ampere-hour integration method;
acquiring a first SOC-OCV curve of the lithium iron phosphate battery;
and correcting the first reference charge state based on the first SOC-OCV curve to obtain the first charge state.
4. The method of claim 1, wherein said calculating a second state of charge of said lithium-polymer-ternary battery comprises:
calculating a second reference charge state of the ternary polymer lithium battery by an ampere-hour integration method;
acquiring a second SOC-OCV curve of the ternary polymer lithium battery;
and correcting the second reference charge state based on the second SOC-OCV curve to obtain the second charge state.
5. The method of claim 1, wherein the determining whether the condition of the lithium-polymer-ternary battery is abnormal comprises:
acquiring state data of the battery pack;
and determining whether the state of the ternary polymer lithium battery is abnormal or not based on the state data.
6. The method of claim 5, wherein the status data comprises a failure level of the lithium-polymer-ternary battery, and wherein the determining whether the status of the lithium-polymer-battery is abnormal based on the status data comprises:
and if the fault grade is higher than a preset grade, determining that the state of the ternary polymer lithium battery is abnormal.
7. The method of claim 5, wherein the status data comprises a first state of health value of the lithium iron phosphate battery and a second state of health value of the lithium terpolymer battery, wherein the determining whether the state of the lithium terpolymer battery is abnormal based on the status data comprises:
and if the first health state value is larger than the second health state value and the difference between the first health state value and the second health state value is larger than a preset difference, determining that the state of the ternary polymer lithium battery is abnormal.
8. The method of claim 5, wherein the status data comprises actual impedance data of the lithium-polymer-ternary battery during charging, and wherein the determining whether an abnormality exists in the status of the lithium-polymer-battery based on the status data comprises:
Determining a maximum impedance value in the actual impedance data;
and if the maximum impedance value is larger than a preset impedance threshold value, determining that the state of the ternary polymer lithium battery is abnormal.
9. The method according to claim 1, wherein the method further comprises:
if the state of the ternary polymer lithium battery is abnormal, determining whether the state of the lithium iron phosphate is abnormal;
and if the state of the lithium iron phosphate is not abnormal, determining the first state of charge as a target state of charge of the battery pack.
10. A device for measuring and calculating the state of charge of a battery pack, wherein the battery pack is formed by connecting at least two lithium iron phosphate batteries and at least one lithium terpolymer battery in series, the rated capacities of the lithium iron phosphate batteries and the lithium terpolymer batteries are the same, and the battery attenuation data of the lithium iron phosphate batteries and the lithium terpolymer batteries are the same, the device comprising:
a first calculation unit for calculating a first state of charge of the lithium iron phosphate battery;
a second calculation unit for calculating a second state of charge of the ternary polymer lithium battery;
A first determining unit for determining whether the state of the ternary polymer lithium battery is abnormal;
and a second determining unit configured to determine the second state of charge as a target state of charge of the battery pack if there is no abnormality in the state of the ternary polymer lithium battery.
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