CN115754774A - SOC electric quantity prediction method and device of lithium battery hybrid system and computer equipment - Google Patents

SOC electric quantity prediction method and device of lithium battery hybrid system and computer equipment Download PDF

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CN115754774A
CN115754774A CN202211550660.8A CN202211550660A CN115754774A CN 115754774 A CN115754774 A CN 115754774A CN 202211550660 A CN202211550660 A CN 202211550660A CN 115754774 A CN115754774 A CN 115754774A
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capacity
state
limit value
available capacity
battery
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杨建�
仇惠惠
张建彪
杨红新
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Dr Octopus Intelligent Technology Shanghai Co Ltd
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Abstract

The application provides a method and a device for predicting SOC electric quantity of a lithium battery hybrid system and computer equipment, wherein the lithium battery hybrid system comprises a first system battery and a second system battery, and the method comprises the following steps: acquiring a use window limit value of a lithium battery hybrid system, first charge state information of a first system battery, second charge state information of a second system battery and first residual capacity of the first system battery; correcting the use window limit value according to the first charge state information and the second charge state information to obtain a corrected use window limit value; and predicting to obtain a second residual capacity of the second system battery according to the corrected use window limit value and the first residual capacity. By the method and the device, the problem of SOC estimation error of a lithium iron system in the lithium battery hybrid system can be solved, and the SOC electric quantity of the lithium battery hybrid system can be accurately predicted.

Description

SOC electric quantity prediction method and device of lithium battery hybrid system and computer equipment
Technical Field
The application relates to the technical field of power battery management, in particular to a method and a device for predicting SOC electric quantity of a lithium battery series-parallel system and computer equipment.
Background
With the popularization of new energy automobiles, power lithium ion batteries enter a rapid development stage, particularly ternary lithium batteries and lithium iron phosphate batteries become two power batteries commonly adopted by new energy automobiles, and therefore SOC state estimation of a ternary and lithium iron phosphate battery hybrid system is an indispensable part for ensuring stable operation of automobiles.
However, the existing SOC state estimation for the battery hybrid system has a certain error, such as the currently commonly used kalman filter algorithm, which is implemented by querying the SOC under a specific voltage and temperature according to an open circuit voltage and (OCV-SOC) curve of the battery, but since the OCV-SOC of the lithium iron phosphate battery cannot effectively obtain the SOC value through the open circuit voltage when the OCV-SOC is in the platform region, the SOC estimation error in the platform region is large, and the true state of the SOC is difficult to reflect.
Therefore, the SOC state estimation method of the existing battery hybrid system has the problem of low accuracy.
Disclosure of Invention
Therefore, it is necessary to provide a method and a device for predicting SOC electric quantity of a lithium battery hybrid system and a computer device for solving the problem of SOC estimation error of a lithium iron system in the battery hybrid system.
In a first aspect, the present application provides a method for predicting SOC electric quantity of a lithium battery hybrid system, where the lithium battery hybrid system includes a first system battery and a second system battery, and the method includes:
acquiring a use window limit value of a lithium battery hybrid system, first charge state information of a first system battery, second charge state information of a second system battery and first residual capacity of the first system battery;
correcting the use window limit value according to the first charge state information and the second charge state information to obtain a corrected use window limit value;
and predicting to obtain a second residual capacity of the second system battery according to the corrected use window limit value and the first residual capacity.
In some embodiments of the present application, the usage window limit includes a first usage window upper limit corresponding to the first system battery, and a second usage window upper limit corresponding to the second system battery; the method for correcting the use window limit value according to the first charge state information and the second charge state information to obtain the corrected use window limit value comprises the following steps: if the first state of charge information is a first state and the second state of charge information is a second state, correcting the upper limit value of the first use window to be one hundred percent, and correcting the upper limit value of the second use window to be the maximum residual capacity in the first state; if the first state of charge information is the second state and the second state of charge information is the first state, correcting the upper limit value of the first use window to be the maximum residual capacity in the first state, and correcting the upper limit value of the second use window to be one hundred percent; the first state represents a state of being charged to a preset cut-off voltage, and the second state represents a state of not being charged to the preset cut-off voltage.
In some embodiments of the present application, the first remaining capacity includes a first minimum remaining capacity; the method for correcting the use window limit value according to the first charge state information and the second charge state information to obtain the corrected use window limit value comprises the following steps: if the second state of charge information is a second state and the second state of charge information meets a first preset condition, acquiring a second minimum remaining capacity of the second system battery, a first maximum available capacity of the first system battery and a second maximum available capacity of the second system battery; acquiring a first available capacity of the first system battery according to the product of the first minimum remaining capacity and the first maximum available capacity; and acquiring a second available capacity of the second system battery according to the product of the second minimum remaining capacity and the second maximum available capacity; and comparing the first available capacity with the second available capacity to correct the use window limit value to obtain a corrected use window limit value.
In some embodiments of the present application, the usage window limit includes a first usage window lower limit corresponding to the first system battery, and a second usage window lower limit corresponding to the second system battery; wherein, comparing the first available capacity and the second available capacity to correct the usage window limit value to obtain a corrected usage window limit value, comprises: if the first available capacity is larger than the second available capacity, acquiring a first difference value between the first available capacity and the second available capacity, and acquiring a first ratio between the first difference value and the first maximum available capacity, so as to correct the lower limit value of the first use window to be a first ratio, and correct the lower limit value of the second use window to be zero percent; if the second available capacity is larger than the first available capacity, a second difference value between the second available capacity and the first available capacity is obtained, and a second ratio value between the second difference value and the second maximum available capacity is obtained, so that the lower limit value of the first usage window is corrected to be zero percent, and the lower limit value of the second usage window is corrected to be the second ratio value.
In some embodiments of the present application, the first remaining capacity includes a first maximum remaining capacity; the method for correcting the use window limit value according to the first charge state information and the second charge state information to obtain the corrected use window limit value comprises the following steps: if the second state of charge information is a second state and the second state of charge information meets a second preset condition, acquiring a second maximum remaining capacity of the second system battery, a first maximum available capacity of the first system battery and a second maximum available capacity of the second system battery; acquiring a first electric quantity difference value of the first maximum remaining electric quantity relative to one hundred percent, and acquiring a first chargeable capacity of the first body battery according to the product of the first electric quantity difference value and the first maximum available capacity; and acquiring a second chargeable capacity of the second system battery according to a product of the second electric quantity difference and a second maximum available capacity according to a second electric quantity difference of the second maximum remaining electric quantity relative to one hundred percent; the first and second chargeable capacities are compared to correct the usage window limit to obtain a corrected usage window limit.
In some embodiments of the present application, the usage window limit includes a first usage window upper limit corresponding to the first system battery, and a second usage window upper limit corresponding to the second system battery; wherein comparing the first and second chargeable capacities to modify the usage window limit to obtain a modified usage window limit comprises: if the first chargeable capacity is larger than the second chargeable capacity, acquiring a third difference value between the first chargeable capacity and the second chargeable capacity, and acquiring a third ratio between the third difference value and the first maximum available capacity, so as to correct the upper limit value of the first use window to the third ratio, and correct the upper limit value of the second use window to one hundred percent; if the second chargeable capacity is larger than the first chargeable capacity, a fourth difference between the second chargeable capacity and the first chargeable capacity is obtained, and a fourth ratio between the fourth difference and the second maximum available capacity is obtained, so as to correct the upper limit value of the first usage window to one hundred percent, and correct the upper limit value of the second usage window to the fourth ratio.
In some embodiments of the present application, the first remaining capacity includes a first maximum remaining capacity and a first minimum remaining capacity; the predicting the second remaining capacity of the second system battery according to the corrected usage window limit and the first remaining capacity includes: acquiring a first maximum available capacity of a first system battery and a second maximum available capacity of a second system battery; respectively predicting a second maximum residual capacity and a second minimum residual capacity of the second system battery according to the first maximum available capacity, the second maximum available capacity, the first maximum residual capacity, the first minimum residual capacity and the corrected use window limit value; and determining the second maximum residual capacity and the second minimum residual capacity as the second residual capacity.
In a second aspect, the present application provides an SOC electric quantity prediction apparatus for a lithium battery hybrid system, the lithium battery hybrid system including a first system battery and a second system battery, the apparatus including:
the information acquisition module is used for acquiring the use window limit value of the lithium battery hybrid system, the first charge state information of the first system battery and the second charge state information of the second system battery;
the numerical value correction module is used for correcting the use window limit value according to the first charge state information and the second charge state information to obtain a corrected use window limit value;
and the electric quantity prediction module is used for acquiring the first residual electric quantity of the first system battery so as to predict and obtain the second residual electric quantity of the second system battery according to the first residual electric quantity and the corrected use window limit value.
In a third aspect, the present application further provides a computer device, comprising:
one or more processors;
a memory; and one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to realize the SOC electric quantity prediction method of the lithium battery hybrid system.
In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is loaded by a processor to execute the steps in the SOC electric quantity prediction method for a hybrid lithium battery system.
In a fifth aspect, embodiments of the present application provide a computer program product or a computer program comprising computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the method provided by the first aspect.
According to the SOC electric quantity prediction method, the SOC electric quantity prediction device and the computer equipment of the lithium battery hybrid system, the use window limit value of the lithium battery hybrid system, the first charge state information of the first system battery, the second charge state information of the second system battery and the first residual electric quantity of the first system battery are obtained, the use window limit value is corrected according to the first charge state information and the second charge state information, the corrected use window limit value is obtained, the second residual electric quantity of the second system battery is obtained through prediction according to the corrected use window limit value and the first residual electric quantity, the problem of SOC estimation error of a lithium iron system in the lithium battery hybrid system can be solved, and therefore the SOC electric quantity of a lithium iron system battery in a platform area is predicted accurately.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is an application scenario diagram of an SOC power prediction method provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for predicting SOC electric quantity according to an embodiment of the present disclosure;
fig. 3 is a schematic state interface diagram of a hybrid lithium battery system provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of an SOC electricity quantity prediction apparatus provided in the embodiment of the present application;
fig. 5 is a schematic structural diagram of a computer device in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present application, the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or as implying a number of the indicated technical features. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
In the description of the present application, the term "for example" is used to mean "serving as an example, instance, or illustration". Any embodiment described herein as "for example" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for the purpose of explanation. It will be apparent to one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes are not shown in detail to avoid obscuring the description of the invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
In the embodiment of the present application, the SOC electric quantity prediction method provided in the embodiment of the present application may be applied to a lithium battery hybrid system shown in fig. 1. The lithium battery hybrid system not only comprises a first system battery and a second system battery, but also comprises a terminal 102 and a server 104. The terminal 102 may be a device that includes both receiving and transmitting hardware, i.e., a device having receiving and transmitting hardware capable of performing two-way communication over a two-way communication link. Such a device may include: a cellular or other communication device having a single line display or a multi-line display. The terminal 102 may specifically be a desktop terminal or a mobile terminal, and the terminal 102 may also specifically be one of a mobile phone, a tablet computer, and a notebook computer. The server 104 may be an independent server, or may be a server network or a server cluster composed of servers, which includes, but is not limited to, a computer, a network host, a single network server, an edge server, a plurality of network server sets, or a cloud server composed of a plurality of servers. Among them, the Cloud server is constituted by a large number of computers or web servers based on Cloud Computing (Cloud Computing).
Those skilled in the art will appreciate that the application environment shown in fig. 1 is only one application scenario applicable to the present application, and does not constitute a limitation to the application scenario of the present application, and that other application environments may include more or fewer devices than those shown in fig. 1. For example, only 1 server is shown in fig. 1. It is understood that the hybrid lithium battery system may further include one or more other devices, which are not limited herein. In addition, the lithium battery hybrid system may further include a memory for storing data, such as OCV (Open Circuit Voltage) -SOC (Open Circuit Voltage) curve data.
It should be noted that the scene schematic diagram of the lithium battery hybrid system shown in fig. 1 is only an example, and the lithium battery hybrid system and the scene described in the embodiment of the present invention are for more clearly illustrating the technical solution of the embodiment of the present invention, and do not form a limitation on the technical solution provided in the embodiment of the present invention.
Referring to fig. 2, an embodiment of the present application provides a method for predicting SOC electric quantity of a lithium battery hybrid system, where the lithium battery hybrid system includes a first system battery and a second system battery, and the present embodiment is mainly exemplified by applying the method to the server 104 in fig. 1, where the method includes steps S201 to S203, which are specifically as follows:
s201, acquiring a use window limit value of a lithium battery hybrid system, first charge state information of a first system battery, second charge state information of a second system battery and first residual capacity of the first system battery.
The first system battery may be a lithium battery of a ternary system, and the second system battery may be a lithium battery of an iron phosphate system.
The using window limit value can comprise an upper using window limit value and a lower using window limit value; the upper use window limit is: when any battery cell in the lithium battery hybrid system reaches the upper limit cut-off condition of charging, the state of the hybrid system can be represented by lithium iron and ternary maximum SOC states, and the ternary maximum SOC reaching the upper limit of a window is defined as' SOC NMX_H ", the maximum SOC of the lithium iron when the upper limit of the window is reached is" SOC LFP_H ". The lower limit of the use window means: when any battery cell in the lithium battery hybrid system reaches a discharge lower limit cut-off condition, the state of the hybrid system can be represented by lithium iron and a ternary minimum SOC state, and the ternary minimum SOC reaching the lower limit of a window is defined as' SOC NMX_L ", the minimum SOC of the lithium iron when the lower limit of the window is reached is" SOC LFP_L ”。
The first state of charge information may refer to a state of charge of the first system battery at the SOC electric quantity prediction time, and is usually expressed by a percentage, for example, the first state of charge information is "100%", "95%" or the like. The second state of charge information refers to the state of charge of the second system battery at the SOC electric quantity prediction time, like the first state of charge information, and for example, the second state of charge information is "100%", "95%" or the like.
The first remaining capacity includes a first maximum remaining capacity and a first minimum remaining capacity, and the first maximum remaining capacity and the first minimum remaining capacity may be analyzed and output through a preset filtering algorithm.
In specific implementation, the first maximum remaining capacity and the first minimum remaining capacity can be accurately calculated through various filtering algorithms (such as an extended kalman filtering algorithm, a volumetric kalman filtering algorithm, and the like) based on an equivalent circuit model. Specifically, a davinin equivalent circuit model is selected, and an expression between the battery terminal voltage "Ut" and a model parameter can be obtained according to circuit-related knowledge:
Figure BDA0003980890250000071
in the formula, U p "is the voltage across the RC link; "I t "is the battery output current, and the discharge is set to be positive and the charge is set to be negative;
Figure BDA0003980890250000081
the voltage of the capacitor part corresponding to the equivalent circuit model; "C P Is "is corresponding toCapacitance of the capacitance part of the equivalent circuit model; "R P "represents the polarization voltage of the battery; 'U' is provided OC "is the voltage corresponding to the OCV for the battery SOC; "R 0 "is the ohmic internal resistance of the corresponding equivalent circuit model.
Assuming that the current is kept constant in a sampling period, discretizing the system to obtain an expression of polarization voltage as follows:
U p,k =e (-Δt/τ) U p,k-1 -R p I t,k-1 (1-e (-Δt/τ) ) (2)
wherein, the 'U' is P,K "represents the polarization voltage of the cell at time" k "; "Δ t" is the sampling interval time of the system; "τ" is the time constant of the RC link of the Davining model; "I t,k-1 The output current of the battery at the time of 'k-1', the discharge current is positive, and the charge current is negative.
Therefore, the discretization equation of the SOC is obtained by an ampere-hour integral method, and the expression is as follows:
z k =z k-1 -I t,k-1 Δt/C n (3)
wherein "Z k SOC value at the time "k"; "C n "is the actual capacity of the battery under the current conditions. In the Kalman filter for estimating SOC, the polarization voltage 'U' of the battery p "sum SOC value as System State value, i.e. x k =[U p,k z k ] T The state equation of the system adopts a terminal voltage expression for an observation equation, and the observed quantity is the terminal voltage of the battery, namely y k =U t,k So the state equation and observation equation of the system are:
Figure BDA0003980890250000082
wherein "w 1,k-1 "is the model white noise in the Kalman filtering algorithm; "v" is a unit of 1,k "is the acquisition error in the Kalman filtering algorithm. Obtaining "x" in a Kalman Filter Algorithm for SOC estimation k "coefficient of
Figure BDA0003980890250000083
And
Figure BDA0003980890250000084
comprises the following steps:
Figure BDA0003980890250000091
setting a state value at the moment of 'k = 0' and an initial condition of error covariance, wherein the calculation process of the Kalman filtering method is as follows:
initial conditions:
Figure BDA0003980890250000092
and (3) state prediction:
Figure BDA0003980890250000093
error covariance prediction:
Figure BDA0003980890250000094
kalman filter gain:
Figure BDA0003980890250000095
and (3) state correction:
Figure BDA0003980890250000096
error covariance update: p k|k =(I-K k H k )P k|k-1 (11)
Wherein "x k "is the state vector (i.e. the first remaining capacity) of the system at time" k ", and" y k "is the system's observation vector at time" k ", coefficient" B k "is a state transition matrix, coefficient" B k "is the input control matrix of the state equation, coefficient" H k "is an observation matrix, system noise and observation noise pairThe covariance matrices are respectively "Q k "and" R k ”,
Figure BDA0003980890250000097
A predicted value (also referred to as a priori estimated value) representing the estimated state at time "k";
Figure BDA0003980890250000098
an estimated value indicating the estimated state at the time "k-1" and indicating the corrected state estimated value; ' K k "is Kalman Filter gain," P k|k-1 ' is
Figure BDA0003980890250000099
Error covariance of "P k|k ' is
Figure BDA00039808902500000910
The prediction error covariance of (a).
S202, correcting the using window limit value according to the first charge state information and the second charge state information to obtain the corrected using window limit value.
In a specific implementation, a usage window limit correction method provided in an embodiment of the present application includes: full charge correction, OCV correction and experimental advanced calibration. In an actual application scenario, the full charge correction mode and the OCV correction mode need to be selected according to the first state of charge information and the second state of charge information, and how to correct the use window limit value according to the first state of charge information and the second state of charge information will be described in detail below, so as to obtain the use window limit value that can be used as a basis for subsequent SOC electric quantity prediction analysis.
In one embodiment, the usage window limit includes a first usage window upper limit corresponding to the first system battery and a second usage window upper limit corresponding to the second system battery, and the step S202 includes: if the first state of charge information is a first state and the second state of charge information is a second state, correcting the upper limit value of the first use window to be one hundred percent, and correcting the upper limit value of the second use window to be the maximum remaining capacity in the first state; if the first state of charge information is the second state and the second state of charge information is the first state, correcting the upper limit value of the first use window to be the maximum residual capacity in the first state, and correcting the upper limit value of the second use window to be one hundred percent; the first state represents a state of being charged to a preset cut-off voltage, and the second state represents a state of not being charged to the preset cut-off voltage.
Wherein, the first upper limit of the usage window corresponding to the first system battery can be expressed as "SOC NMX_H ", the second usage window upper limit value corresponding to the second system battery may be expressed as" SOC LFP_H ”。
In a specific implementation, the battery hybrid system generally includes 120 cells, among which 98 lithium iron cells and 22 ternary cells, but the actual number is not limited in this application, which is an example. The state of the hybrid system of the battery hybrid system refers to the overlapping relationship between the SOC use intervals of the ternary system and the lithium iron system, and can be divided into four states in total, as shown in fig. 3, including: the ternary lithium iron comprises ternary lithium iron, ternary cross lithium iron (ternary full charge first), and lithium iron comprises ternary. For a battery hybrid system, because the aging decay rate of a general ternary system is faster than that of a lithium iron system, the initial rated capacity of the ternary system is higher than that of the lithium iron system, the ternary system is initially in a state of containing lithium iron, and the ternary system may be converted into other three states along with the aging decay or self-discharge of the battery.
Further, when the server 104 detects that any one of the battery cells in the battery hybrid system reaches the upper limit cut-off voltage of charging, that is, it is determined that the battery cell is fully charged, if the ternary battery cell is fully charged first, it is satisfied that: if the first state of charge information is a first state and the second state of charge information is a second state, correcting the upper limit value SOC of the first use window of the ternary battery cell NMX_H "is" 100% ", and corrects the second use window upper limit value" SOC of the lithium iron battery cell LFP_H "is the maximum SOC of lithium iron at full charge.
Furthermore, if the lithium iron battery cell is fully charged first, the following conditions are satisfied: the first state of charge information is a second state and the second state of chargeIf the state information is the first state, correcting the upper limit value SOC of the first use window of the ternary battery cell NMX_H "is ternary maximum SOC when fully charging, and corrects second use window upper limit value" SOC of lithium iron battery cell LFP_H "is" 100% ". This embodiment illustrates the full charge correction method described above.
In one embodiment, the first remaining capacity includes a first minimum remaining capacity, and the step S202 includes: if the second state of charge information is a second state and the second state of charge information meets a first preset condition, acquiring a second minimum remaining capacity of the second system battery, a first maximum available capacity of the first system battery and a second maximum available capacity of the second system battery; obtaining a first available capacity of the first system battery according to the product of the first minimum remaining capacity and the first maximum available capacity; and acquiring a second available capacity of the second system battery according to the product of the second minimum remaining capacity and the second maximum available capacity; and comparing the first available capacity with the second available capacity to correct the use window limit value to obtain a corrected use window limit value.
The first preset condition may be a non-flat zone ("below 30%", but not limited to "30%") where the second state of charge information is in the initial stage, and if the SOC of the second system battery is currently "25%", and "25% < 30%", it indicates that the second state of charge information satisfies the first preset condition.
In the concrete implementation, the SOC estimation error of the lithium iron system is considered (when the ternary SOC is in the range of 0% -100%, the corresponding OCV has no plateau region, and the SOC can be corrected by the OCV only after standing for a period of time, so that the ternary SOC estimation error is not needed to be considered), so that the use window limit value correction is performed only when the real SOC value of the lithium iron system can be obtained. The OCV correction means that under the sleep time (such as ternary standing for 1 hour and lithium iron standing for 3 hours) meeting a certain threshold, and at the time, the OCV voltage of lithium iron is not in a platform area (when the SOC of the lithium iron is less than 30% or more than 95%, the OCV voltage of the lithium iron is not in the platform area, and a relatively accurate SOC value of the lithium iron can be obtained according to an OCV-SOC curve), but when the SOC of the lithium iron is in a range from 30% to 95% (excluding 30% and 95%), the OCV voltage of the lithium iron is in the platform area, and an accurate SOC value of the lithium iron cannot be obtained according to the OCV-SOC curve). Therefore, for the lithium iron system, the platform area data needs to be corrected by using the non-platform area data to obtain accurate SOC electric quantity, and OCV correction can be divided into: and (3) correcting the non-platform area by less than 30 percent and correcting the non-platform area by more than 95 percent. The present embodiment will focus on the first modification.
Specifically, when the server 104 detects that the second state of charge information is the second state (non-full charge state) and the second state of charge information satisfies the first preset condition (for example, the SOC of the lithium iron is less than or equal to "30%"), the lower limit value of the usage window may be corrected according to the accurate minimum SOC (second minimum remaining charge) of the lithium iron and the accurate ternary minimum SOC (first minimum remaining charge): calculating the available capacities of the two systems according to the minimum SOC, where the first available capacity = a first minimum remaining capacity and a first maximum available capacity, and the second available capacity = a second minimum remaining capacity and a second maximum available capacity, and comparing the current available capacity of the lithium iron with the ternary available capacity, that is, analyzing the sizes of the first available capacity and the second available capacity, so as to determine how to modify the usage window limit, which will be described in detail below.
In one embodiment, the method for correcting the usage window limit value includes the steps of: if the first available capacity is larger than the second available capacity, acquiring a first difference value between the first available capacity and the second available capacity, and acquiring a first ratio between the first difference value and the first maximum available capacity, so as to correct the lower limit value of the first use window to be a first ratio, and correct the lower limit value of the second use window to be zero percent; if the second available capacity is larger than the first available capacity, a second difference value between the second available capacity and the first available capacity is obtained, and a second ratio value between the second difference value and the second maximum available capacity is obtained, so that the lower limit value of the first usage window is corrected to be zero percent, and the lower limit value of the second usage window is corrected to be the second ratio value.
In specific implementation, when the ternary first available capacity is larger than the second available capacity of the lithium iron, which indicates that the lithium iron is fully discharged first, the lower limit value 'SOC' of the first use window is set NMx_L "correct to a first ratio, first ratio = (first available capacity-second available capacity)/first maximum available capacity, and" SOC "is a second usage window lower limit value LFP_L "corrected to" 0% "; when the second available capacity of the lithium iron is larger than the first available capacity of the ternary element, the ternary element is indicated to be fully discharged first, and then the lower limit value 'SOC' of a first use window is set NMX_L "corrected to" 0% ", and the second usage window lower limit value" SOC LFP_L "corrected to a second ratio, the second ratio = (second available capacity-first available capacity)/second maximum available capacity.
In one embodiment, the first remaining capacity includes a first maximum remaining capacity, and the step S202 includes: if the second state of charge information is a second state and the second state of charge information meets a second preset condition, acquiring a second maximum remaining capacity of the second system battery, a first maximum available capacity of the first system battery and a second maximum available capacity of the second system battery; acquiring a first electric quantity difference value of the first maximum remaining electric quantity relative to one hundred percent, and acquiring a first chargeable capacity of the first body battery according to the product of the first electric quantity difference value and the first maximum available capacity; and acquiring a second chargeable capacity of the second system battery according to a product of the second electric quantity difference and a second maximum available capacity according to a second electric quantity difference of the second maximum remaining electric quantity relative to one hundred percent; the first and second chargeable capacities are compared to correct the usage window limit to obtain a corrected usage window limit.
In a specific implementation, the second correction manner of the OCV correction will be described in detail in this embodiment. Specifically, when the server 104 detects that the second state of charge information is the second state (non-full charge state), and the second state of charge information satisfies the second preset condition (for example, the SOC of the lithium iron is greater than or equal to "95%"), the upper limit value of the usage window may be corrected according to the accurate maximum SOC (second maximum remaining capacity) of the lithium iron and the accurate ternary maximum SOC (first maximum remaining capacity): calculating two systems of chargeable capacity according to the maximum SOC, wherein the first chargeable capacity = (1-first maximum residual capacity) × first maximum usable capacity, and the second chargeable capacity = (1-second maximum residual capacity) × first maximum usable capacity; the comparison between the current lithium iron chargeable capacity and the ternary chargeable capacity, that is, the analysis of the first chargeable capacity and the second chargeable capacity, can determine how to modify the usage window limit, as will be described in detail below.
In one embodiment, the method for determining a usage window limit includes a first usage window upper limit corresponding to a first system battery and a second usage window upper limit corresponding to a second system battery, and comparing the first chargeable capacity and the second chargeable capacity to correct the usage window limit to obtain a corrected usage window limit, including: if the first chargeable capacity is larger than the second chargeable capacity, acquiring a third difference value between the first chargeable capacity and the second chargeable capacity, and acquiring a third ratio between the third difference value and the first maximum available capacity, so as to correct the upper limit value of the first use window to the third ratio, and correct the upper limit value of the second use window to one hundred percent; if the second chargeable capacity is larger than the first chargeable capacity, a fourth difference between the second chargeable capacity and the first chargeable capacity is obtained, and a fourth ratio between the fourth difference and the second maximum available capacity is obtained, so that the upper limit value of the first usage window is corrected to one hundred percent, and the upper limit value of the second usage window is corrected to the fourth ratio.
In a specific implementation, when the ternary first chargeable capacity is larger than the second chargeable capacity of the lithium iron, which indicates that the lithium iron is fully charged first, the upper limit value of the first use window, namely the SOC, is adjusted NMX_H "corrected to a third ratio, = (first chargeable capacity-second chargeable capacity)/first maximum usable capacity, and the second usage window upper limit" SOC LFP_H "corrected to" 100% "; when the second chargeable capacity of the lithium iron is larger than the first chargeable capacity of the ternary, the ternary is indicated to be fully charged firstThen the first using window upper limit value "SOC" is set NMX_H "corrected to" 100% ", and the second usage window upper limit value" SOC LFP_H "corrected to a fourth ratio, the fourth ratio = (second chargeable capacity-first chargeable capacity)/second maximum available capacity.
And S203, predicting to obtain a second residual capacity of the second system battery according to the corrected use window limit value and the first residual capacity.
The first remaining capacity is described in detail above, and includes a first maximum remaining capacity (ternary maximum SOC) and a first minimum remaining capacity (ternary minimum SOC), and the second remaining capacity also includes a second maximum remaining capacity (lithium iron maximum SOC) and a second minimum remaining capacity (lithium iron minimum SOC).
In a specific implementation, the server 104 corrects the upper limit value and the lower limit value of the usage window based on the scheme described in the above embodiment, and after the corrected upper limit value and the corrected lower limit value of the usage window are obtained, the corrected upper limit value and the first maximum remaining power may be used to analyze and obtain the second maximum remaining power. Meanwhile, the second minimum remaining power is obtained by analyzing the corrected lower limit value of the usage window and the first minimum remaining power, and a specific analysis process will be described in detail below.
In one embodiment, the first remaining capacity includes a first maximum remaining capacity and a first minimum remaining capacity, and step S203 includes: acquiring a first maximum available capacity of a first system battery and a second maximum available capacity of a second system battery; respectively predicting a second maximum residual capacity and a second minimum residual capacity of the second system battery according to the first maximum available capacity, the second maximum available capacity, the first maximum residual capacity, the first minimum residual capacity and the corrected use window limit value; and determining the second maximum residual capacity and the second minimum residual capacity as the second residual capacity.
In specific implementation, the second maximum remaining capacity (maximum lithium iron SOC) = SOC LFP_H -(SOC NMX_H -a first maximum remaining capacity) first maximum available capacity/second maximum available capacity; wherein, "(SOC) NMX_H -first to thirdLarge remaining power) "represents a ternary chargeable SOC," (SOC) NMX_H -a first maximum remaining capacity ×. A first maximum available capacity "represents a ternary to full chargeable capacity," (SOC) NMX_H -first maximum remaining capacity) first maximum available capacity/second maximum available capacity "indicates a fully chargeable SOC for the lithium iron. Further, a second minimum remaining capacity (lithium iron minimum SOC) = SOC LFP_L + (first minimum remaining amount-SOC) NMX_L ) First maximum available capacity/second maximum available capacity.
In the SOC electric quantity prediction method for the lithium battery hybrid system in the embodiment, the SOC estimation error problem of the lithium iron system in the lithium battery hybrid system can be solved by mainly obtaining the usage window limit of the lithium battery hybrid system, the first state of charge information of the first system battery, the second state of charge information of the second system battery, and the first remaining electric quantity of the first system battery, correcting the usage window limit according to the first state of charge information and the second state of charge information to obtain the corrected usage window limit, and predicting the second remaining electric quantity of the second system battery according to the corrected usage window limit and the first remaining electric quantity, so that the SOC electric quantity of the lithium iron system battery in the platform area can be accurately predicted.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In order to better implement the SOC electric quantity prediction method of the lithium battery hybrid system provided in the embodiment of the present application, on the basis of the SOC electric quantity prediction method of the lithium battery hybrid system provided in the embodiment of the present application, an SOC electric quantity prediction apparatus of the lithium battery hybrid system is further provided in the embodiment of the present application, the lithium battery hybrid system includes a first system battery and a second system battery, as shown in fig. 4, the SOC electric quantity prediction apparatus 400 of the lithium battery hybrid system includes:
the information acquisition module 410 is configured to acquire a use window limit value of the lithium battery hybrid system, first state of charge information of a first system battery, and second state of charge information of a second system battery;
the numerical value correction module 420 is configured to correct the use window limit value according to the first state of charge information and the second state of charge information, so as to obtain a corrected use window limit value;
the power prediction module 430 is configured to obtain a first remaining power of the first system battery, and predict a second remaining power of the second system battery according to the first remaining power and the modified usage window limit.
In one embodiment, the usage window limit includes a first usage window upper limit corresponding to the first system battery and a second usage window upper limit corresponding to the second system battery, and the numerical correction module 420 is further configured to correct the first usage window upper limit to one hundred percent and correct the second usage window upper limit to the maximum remaining capacity in the first state if the first state of charge information is the first state and the second state of charge information is the second state; if the first state of charge information is the second state and the second state of charge information is the first state, correcting the upper limit value of the first use window to be the maximum residual capacity in the first state, and correcting the upper limit value of the second use window to be one hundred percent; the first state represents a state of being charged to a preset cut-off voltage, and the second state represents a state of not being charged to the preset cut-off voltage.
In one embodiment, the first remaining capacity includes a first minimum remaining capacity, and the value correction module 420 is further configured to obtain a second minimum remaining capacity of the second system battery, a first maximum available capacity of the first system battery, and a second maximum available capacity of the second system battery if the second state of charge information is the second state and the second state of charge information satisfies the first preset condition; obtaining a first available capacity of the first system battery according to the product of the first minimum remaining capacity and the first maximum available capacity; and acquiring a second available capacity of the second system battery according to the product of the second minimum remaining capacity and the second maximum available capacity; and comparing the first available capacity with the second available capacity to correct the use window limit value to obtain the corrected use window limit value.
In one embodiment, the usage window limit includes a first usage window lower limit corresponding to the first system battery and a second usage window lower limit corresponding to the second system battery, and the numerical correction module 420 is further configured to obtain a first difference between the first available capacity and the second available capacity and obtain a first ratio between the first difference and the first maximum available capacity, so as to correct the first usage window lower limit to a first ratio and correct the second usage window lower limit to zero percent, if the first available capacity is greater than the second available capacity; if the second available capacity is larger than the first available capacity, a second difference value between the second available capacity and the first available capacity is obtained, and a second ratio value between the second difference value and the second maximum available capacity is obtained, so that the lower limit value of the first usage window is corrected to be zero percent, and the lower limit value of the second usage window is corrected to be the second ratio value.
In one embodiment, the first remaining capacity includes a first maximum remaining capacity, and the value correction module 420 is further configured to obtain a second maximum remaining capacity of the second system battery, a first maximum available capacity of the first system battery, and a second maximum available capacity of the second system battery if the second state of charge information is the second state and the second state of charge information satisfies a second preset condition; acquiring a first electric quantity difference value of the first maximum residual electric quantity relative to one hundred percent, and acquiring a first chargeable capacity of the first integral battery according to the product of the first electric quantity difference value and the first maximum available capacity; and acquiring a second chargeable capacity of the second system battery according to a product of the second electric quantity difference and a second maximum available capacity according to a second electric quantity difference of the second maximum remaining electric quantity relative to one hundred percent; the first and second chargeable capacities are compared to correct the usage window limit to obtain a corrected usage window limit.
In one embodiment, the usage window limit includes a first usage window upper limit corresponding to the first system battery and a second usage window upper limit corresponding to the second system battery, and the numerical value correction module 420 is further configured to obtain a third difference between the first chargeable capacity and the second chargeable capacity and obtain a third ratio between the third difference and the first maximum available capacity, to correct the first usage window upper limit to the third ratio and to correct the second usage window upper limit to one hundred percent, if the first chargeable capacity is greater than the second chargeable capacity; if the second chargeable capacity is larger than the first chargeable capacity, a fourth difference between the second chargeable capacity and the first chargeable capacity is obtained, and a fourth ratio between the fourth difference and the second maximum available capacity is obtained, so as to correct the upper limit value of the first usage window to one hundred percent, and correct the upper limit value of the second usage window to the fourth ratio.
In one embodiment, the first remaining capacity includes a first maximum remaining capacity and a first minimum remaining capacity, and the capacity prediction module 430 is further configured to obtain a first maximum available capacity of the first system battery and a second maximum available capacity of the second system battery; respectively predicting a second maximum residual capacity and a second minimum residual capacity of the second system battery according to the first maximum available capacity, the second maximum available capacity, the first maximum residual capacity, the first minimum residual capacity and the corrected use window limit value; and determining the second maximum residual capacity and the second minimum residual capacity as the second residual capacity.
In the above embodiment, the SOC estimation error problem of the lithium iron system in the lithium battery hybrid system can be solved by mainly obtaining the usage window limit of the lithium battery hybrid system, the first state of charge information of the first system battery, the second state of charge information of the second system battery, and the first remaining capacity of the first system battery, and according to the first state of charge information and the second state of charge information, correcting the usage window limit to obtain the corrected usage window limit, and then predicting the second remaining capacity of the second system battery according to the corrected usage window limit and the first remaining capacity, so that the SOC estimation error problem of the lithium iron system in the lithium battery hybrid system can be accurately predicted, and the SOC capacity of the lithium iron system battery in the platform area can be accurately predicted.
It should be noted that, for specific limitations of the SOC electric quantity prediction apparatus of the lithium battery hybrid system, refer to the above limitations of the SOC electric quantity prediction method of the lithium battery hybrid system, and are not described herein again. All or part of each module in the SOC electric quantity prediction device of the lithium battery hybrid system can be realized by software, hardware and combination thereof. The modules can be embedded in a hardware form or independent of a processor in the electronic device, or can be stored in a memory in the electronic device in a software form, so that the processor can call and execute operations corresponding to the modules.
In some embodiments of the present application, the SOC electricity amount prediction apparatus 400 of the lithium battery hybrid system may be implemented in the form of a computer program, and the computer program may be executed on a computer device as shown in fig. 5. The memory of the computer device may store various program modules of the SOC electric quantity prediction apparatus 400 constituting the lithium battery hybrid system, for example, an information obtaining module 410, a numerical value correcting module 420, and an electric quantity prediction module 430 shown in fig. 4; the computer program formed by the program modules enables the processor to execute the steps of the SOC electric quantity prediction method of the lithium battery hybrid system of the embodiments of the application described in the specification. For example, the computer device shown in fig. 5 may execute step S201 through the information obtaining module 410 in the SOC electricity amount prediction apparatus 400 of the lithium battery hybrid system shown in fig. 4. The computer device may perform step S202 through the numerical value correction module 420. The computer device may perform step S203 through the power amount prediction module 430. Wherein the computer device comprises a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external computer device through a network connection. The computer program is executed by a processor to realize the SOC electric quantity prediction method of the lithium battery hybrid system.
Those skilled in the art will appreciate that the configuration shown in fig. 5 is a block diagram of only a portion of the configuration associated with the present application and does not constitute a limitation on the computing device to which the present application may be applied, and that a particular computing device may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
In some embodiments of the present application, there is provided a computer device comprising one or more processors; a memory; and one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to perform the steps of the SOC electric quantity prediction method of the lithium battery hybrid system. The steps of the SOC electric quantity prediction method of the lithium battery hybrid system may be steps in the SOC electric quantity prediction method of the lithium battery hybrid system in each of the above embodiments.
In some embodiments of the present application, a computer-readable storage medium is provided, which stores a computer program, and the computer program is loaded by a processor, so that the processor executes the steps of the SOC electric quantity prediction method for a lithium battery hybrid system. Here, the steps of the SOC electric quantity prediction method of the lithium battery hybrid system may be steps in the SOC electric quantity prediction method of the lithium battery hybrid system in each of the above embodiments.
One of ordinary skill in the art will appreciate that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when executed. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM may take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), for example.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The method, the device and the computer device for predicting the SOC electric quantity of the lithium battery hybrid system provided by the embodiment of the present application are introduced in detail, a specific example is applied in the present application to explain the principle and the implementation of the present invention, and the description of the above embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. A method for predicting SOC electric quantity of a lithium battery hybrid system is characterized in that the lithium battery hybrid system comprises a first system battery and a second system battery, and the method comprises the following steps:
acquiring a use window limit value of the lithium battery hybrid system, first charge state information of the first system battery, second charge state information of the second system battery and first residual capacity of the first system battery;
correcting the use window limit value according to the first charge state information and the second charge state information to obtain a corrected use window limit value;
and predicting to obtain a second residual capacity of the second system battery according to the corrected use window limit value and the first residual capacity.
2. The method of claim 1, wherein the usage window limit comprises a first usage window upper limit for the first system battery and a second usage window upper limit for the second system battery;
wherein, according to the first state of charge information and the second state of charge information, correcting the use window limit value to obtain a corrected use window limit value, the method includes:
if the first state of charge information is a first state and the second state of charge information is a second state, correcting the upper limit value of the first use window to be one hundred percent, and correcting the upper limit value of the second use window to be the maximum remaining capacity in the first state;
if the first state of charge information is a second state and the second state of charge information is a first state, correcting the upper limit value of the first use window to be the maximum remaining capacity in the first state, and correcting the upper limit value of the second use window to be one hundred percent;
the first state represents a state of being charged to a preset cut-off voltage, and the second state represents a state of not being charged to the preset cut-off voltage.
3. The method of claim 1 or 2, wherein the first amount of remaining power comprises a first minimum amount of remaining power;
wherein, according to the first state of charge information and the second state of charge information, correcting the use window limit value to obtain a corrected use window limit value, the method includes:
if the second state of charge information is a second state and the second state of charge information meets a first preset condition, acquiring a second minimum remaining capacity of the second system battery, a first maximum available capacity of the first system battery and a second maximum available capacity of the second system battery;
acquiring a first available capacity of the first system battery according to the product of the first minimum remaining capacity and the first maximum available capacity; and
acquiring a second available capacity of the second system battery according to the product of the second minimum remaining capacity and the second maximum available capacity;
and comparing the first available capacity with the second available capacity to correct the use window limit value to obtain a corrected use window limit value.
4. The method of claim 3, wherein the usage window limit comprises a first usage window lower limit for the first system battery and a second usage window lower limit for the second system battery;
wherein the comparing the first available capacity with the second available capacity to correct the usage window limit to obtain a corrected usage window limit includes:
if the first available capacity is larger than the second available capacity, acquiring a first difference value between the first available capacity and the second available capacity, and acquiring a first ratio between the first difference value and the first maximum available capacity, so as to correct the first usage window lower limit value to the first ratio, and correct the second usage window lower limit value to zero percent;
if the second available capacity is larger than the first available capacity, acquiring a second difference between the second available capacity and the first available capacity, and acquiring a second ratio between the second difference and the second maximum available capacity, so as to correct the lower limit of the first usage window to zero percent, and correct the lower limit of the second usage window to the second ratio.
5. The method of claim 1 or 2, wherein the first amount of remaining power comprises a first maximum amount of remaining power;
wherein, according to the first state of charge information and the second state of charge information, correcting the use window limit value to obtain a corrected use window limit value, the method includes:
if the second state of charge information is a second state and the second state of charge information meets a second preset condition, acquiring a second maximum remaining capacity of the second system battery, a first maximum available capacity of the first system battery and a second maximum available capacity of the second system battery;
obtaining a first electric quantity difference value of the first maximum remaining electric quantity relative to one hundred percent, so as to obtain a first chargeable capacity of the first system battery according to the product of the first electric quantity difference value and the first maximum available capacity; and
acquiring a second chargeable capacity of the second system battery according to a second electric quantity difference value of the second maximum remaining electric quantity relative to one hundred percent and a product of the second electric quantity difference value and the second maximum available capacity;
and comparing the first chargeable capacity with the second chargeable capacity to correct the use window limit value to obtain a corrected use window limit value.
6. The method of claim 5, wherein the usage window limit comprises a first usage window upper limit corresponding to the first system battery and a second usage window upper limit corresponding to the second system battery;
wherein the comparing the first chargeable capacity and the second chargeable capacity to correct the usage window limit to obtain a corrected usage window limit comprises:
if the first chargeable capacity is larger than the second chargeable capacity, acquiring a third difference between the first chargeable capacity and the second chargeable capacity, and acquiring a third ratio between the third difference and the first maximum available capacity, so as to correct the first usage window upper limit value to the third ratio, and correct the second usage window upper limit value to one hundred percent;
if the second chargeable capacity is larger than the first chargeable capacity, acquiring a fourth difference between the second chargeable capacity and the first chargeable capacity, and acquiring a fourth ratio between the fourth difference and the second maximum available capacity, so as to correct the first usage window upper limit value to one hundred percent, and correct the second usage window upper limit value to the fourth ratio.
7. The method of claim 1, wherein the first remaining amount comprises a first maximum remaining amount and a first minimum remaining amount;
wherein the predicting the second remaining capacity of the second system battery according to the corrected usage window limit and the first remaining capacity includes:
acquiring a first maximum available capacity of the first system battery and a second maximum available capacity of the second system battery;
predicting a second maximum remaining capacity and a second minimum remaining capacity of the second system battery respectively according to the first maximum available capacity, the second maximum available capacity, the first maximum remaining capacity, the first minimum remaining capacity and the corrected usage window limit;
determining the second maximum remaining capacity and the second minimum remaining capacity as the second remaining capacity.
8. An SOC electric quantity prediction device of a lithium battery hybrid system, which is characterized in that the lithium battery hybrid system comprises a first system battery and a second system battery, and the device comprises:
the information acquisition module is used for acquiring the use window limit value of the lithium battery hybrid system, the first charge state information of the first system battery and the second charge state information of the second system battery;
the numerical value correction module is used for correcting the use window limit value according to the first charge state information and the second charge state information to obtain a corrected use window limit value;
and the electric quantity prediction module is used for acquiring the first residual electric quantity of the first system battery, and predicting to acquire the second residual electric quantity of the second system battery according to the first residual electric quantity and the corrected use window limit value.
9. A computer device, comprising:
one or more processors;
a memory; and one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the SOC electricity amount prediction method of the lithium battery hybrid system according to any one of claims 1 to 7.
10. A computer-readable storage medium, having a computer program stored thereon, where the computer program is loaded by a processor to execute the steps of the SOC capacity prediction method for a hybrid lithium battery system according to any one of claims 1 to 7.
CN202211550660.8A 2022-12-05 2022-12-05 SOC electric quantity prediction method and device of lithium battery hybrid system and computer equipment Pending CN115754774A (en)

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