CN117665576A - Battery state of charge obtaining method and device - Google Patents
Battery state of charge obtaining method and device Download PDFInfo
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Abstract
The invention provides a battery state of charge obtaining method and a device, wherein the method comprises the following steps: after the current state of health of the target battery is obtained, a target OCV-SOC relation curve corresponding to the current state of health of the target battery is selected based on a corresponding relation between the pre-established battery state of health and the OCV-SOC relation curve, and the current state of charge of the target battery is calculated and obtained based on the target OCV-SOC relation curve. Because the state of health of the battery has correlation with the attenuation degree of the battery, by establishing a corresponding relation between the state of health of the battery and the OCV-SOC curve in advance, when the SOC of the target battery is actually estimated, the SOC-OCV curve corresponding to the state of health of the target battery is selected through the state of health of the battery of the target battery, so that the accuracy of the SOC estimation process can be improved, and the estimation accuracy of the SOC of the battery can be ensured when the battery is attenuated to any degree.
Description
Technical Field
The invention belongs to the technical field of batteries, and particularly relates to an initial corresponding relation acquisition method between open-circuit voltage and battery state of charge.
Background
During the full life cycle of the battery, the current state of charge of the battery may be calculated using an OCV-SOC relationship curve that characterizes the correspondence between the Open Circuit Voltage (OCV) of the battery and the state of charge (SOC) of the battery. At present, an initial OCV-SOC relation curve of the battery in a brand new state is continuously used in the whole life cycle use process of the battery. However, as the battery ages, the corresponding relation between the actual OCV and the SOC will change, in this case, if the current state of charge is calculated by continuously using the initial OCV-SOC relation curve of the battery in the brand new state, the calculation result of the current state of charge will be inaccurate, and further, the estimating of the driving range of the electric vehicle will be inaccurate, and the problem of the driving range jump of the electric vehicle will be generated.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method and a device for obtaining the state of charge of a battery, so as to solve the problems that the calculation result of the current state of charge is inaccurate, the estimation of the driving distance of an electric automobile is inaccurate and the driving distance jump of the electric automobile is generated by using an initial OCV-SOC relation curve of the battery in a brand new state to calculate the current state of charge.
To solve or improve the above technical problem to some extent, according to an aspect of the present invention, there is provided a battery state of charge obtaining method, including:
obtaining the current state of health of the target battery;
selecting a target OCV-SOC relation curve corresponding to the current state of health of the target battery based on a pre-established correspondence between the state of health of the battery and the OCV-SOC relation curve;
and calculating and obtaining the current battery charge state of the target battery based on the target OCV-SOC relation curve.
In some embodiments, the method further comprises:
performing a battery life test experiment according to battery usage data of a reference battery to obtain experimental data;
and establishing a corresponding relation between the battery health state and the OCV-SOC relation curve based on the experimental data.
In some embodiments, the performing a battery life test experiment according to battery usage data of a reference battery to obtain experimental data includes:
calibrating battery performance parameters, open-circuit voltage and battery charge state of the reference battery by taking the time when the reference battery reaches preset charge and discharge as a node;
calculating to obtain battery health states corresponding to all nodes based on battery performance parameters corresponding to all nodes in a battery life cycle of the reference battery, and obtaining an OCV-SOC relation curve corresponding to all nodes based on the open-circuit voltage and the battery state of charge;
and establishing a corresponding relation between the battery health state corresponding to each node and the OCV-SOC relation curve corresponding to each node.
In some embodiments, the battery performance parameter comprises one of:
a battery capacity;
maximum discharge capacity of the battery;
and (5) internal resistance of the battery.
In some embodiments, the pre-established correspondence between battery state of health and OCV-SOC relationship comprises: the corresponding relation between the various battery health states matched with the various battery using conditions and the OCV-SOC relation curve;
the selecting a target OCV-SOC relationship corresponding to the current state of health of the target battery includes: and selecting the corresponding relation between the battery health state matched with the use condition of the target battery and the OCV-SOC relation from the corresponding relation between the plurality of battery health states and the OCV-SOC relation.
In some embodiments, the battery usage conditions include at least one of:
an external use environment of the battery;
user operation data corresponding to the electric automobile to which the battery belongs.
In some embodiments, the obtaining the current state of health of the target battery includes one of:
obtaining the current state of health of the target battery calculated by a vehicle machine operating system of the electric vehicle to which the target battery belongs;
obtaining the current state of health of the target battery calculated by a server;
and obtaining the current state of health of the target battery calculated by a power conversion system or a charging system of the electric automobile.
According to another aspect of the present invention, there is provided a battery state of charge obtaining apparatus comprising:
the health state obtaining unit is used for obtaining the current health state of the target battery;
a relationship curve selection unit, configured to select a target OCV-SOC relationship curve corresponding to a current state of health of the target battery based on a correspondence between a pre-established battery state of health and the OCV-SOC relationship curve;
and the battery charge state calculation unit is used for calculating and obtaining the current battery charge state of the target battery based on the target OCV-SOC relation curve.
According to another aspect of the present invention, there is provided an electronic device including a processor and a memory; wherein the memory is configured to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method of any of the above embodiments.
According to another aspect of the invention there is provided a computer readable storage medium having stored thereon one or more computer instructions, characterised in that the instructions are executable by a processor to implement a method according to any of the embodiments described above.
Compared with the prior art, the invention has the following advantages:
according to the battery state of charge obtaining method provided by the invention, after the current state of health of the target battery is obtained, the target OCV-SOC relation curve corresponding to the current state of health of the target battery is selected based on the corresponding relation between the pre-established battery state of health and the OCV-SOC relation curve, and the current state of battery of the target battery is calculated and obtained based on the target OCV-SOC relation curve. Because the state of health of the battery has correlation with the attenuation degree of the battery, by establishing a corresponding relation between the state of health of the battery and the OCV-SOC curve in advance, when the SOC of the target battery is actually estimated, the SOC-OCV curve corresponding to the state of health of the target battery is selected through the state of health of the battery of the target battery, so that the accuracy of the SOC estimation process can be improved, and the estimation accuracy of the SOC of the battery can be ensured when the battery is attenuated to any degree.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention, as well as the preferred embodiments thereof, together with the following detailed description of the invention, given by way of illustration only, together with the accompanying drawings.
Drawings
FIG. 1 is a flow chart of a method for obtaining a state of charge of a battery according to an embodiment of the present application;
fig. 2 is a block diagram of a battery state of charge obtaining apparatus according to an embodiment of the present application;
fig. 3 is a schematic logic structure of an electronic device according to an embodiment of the present application.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description refers to the specific implementation and effects of the user identity authentication method according to the present invention with reference to the accompanying drawings and preferred embodiments.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is, however, susceptible of embodiment in many other ways than those herein described and similar generalizations can be made by those skilled in the art without departing from the spirit of the application and the application is therefore not limited to the specific embodiments disclosed below.
The state of charge (SOC) of a battery is also called the remaining capacity, which is the ratio of the remaining capacity of the battery after the battery is used for a period of time or is left unused for a long period of time to the capacity of the battery in its fully charged state, and the value thereof is generally in the range of 0-1, when soc=0, it indicates that the battery is fully discharged, and when soc=1, it indicates that the battery is fully charged, which is an essential consideration for controlling the operation of the battery. The open circuit voltage (Open circuit voltage OCV) refers to the terminal voltage of the battery in an open circuit state. The open circuit voltage of a battery is equal to the difference between the positive electrode potential and the negative electrode potential of the battery when the battery is open circuit (i.e., when no current is flowing through both poles). In the method of estimating the SOC of the battery, the open circuit voltage method estimates the SOC by detecting the open circuit voltage based on a one-to-one correspondence (OCV-SOC relationship curve) between the open circuit voltage OCV and the state of charge SOC, and therefore, a true and accurate OCV-SOC relationship curve is an important condition in estimating the SOC. However, in the current use process of the whole life cycle of the power battery, the initial OCV-SOC relation curve of the battery in a brand-new state is continuously used, and the real corresponding relation between the OCV and the SOC of the battery changes along with the aging of the battery.
Aiming at the battery state of charge estimation scene, in order to avoid the problem that the estimation result of the battery state of charge is inaccurate and the driving distance estimation of the electric automobile is inaccurate and the driving distance jump of the electric automobile is generated due to the fact that the existing battery state of charge is estimated by using the initial OCV-SOC relation curve of the battery in a brand new state, the application provides a battery state of charge obtaining method, a battery state of charge obtaining device corresponding to the method, electronic equipment and a computer readable storage medium. The following provides detailed descriptions of the above methods, apparatuses, electronic devices, and computer-readable storage media.
An embodiment of the present application provides a method for obtaining a state of charge of a battery, where an application body of the method may be a computing device application for obtaining the state of charge of the battery in real time, where the computing device application may be operated on a battery management module of an electric vehicle. Fig. 1 is a flowchart of a battery state of charge obtaining method according to a first embodiment of the present application, and the method according to the present embodiment is described in detail below with reference to fig. 1. The embodiments referred to in the following description are intended to illustrate the method principles and not to limit the practical use.
As shown in fig. 1, the method for obtaining the battery state of charge according to the present embodiment includes the following steps:
s101, obtaining the current state of health of the target battery.
This step is used to obtain the current state of health (SOH) of the target battery, and the state of health (SOH) of the battery is used to quantitatively describe the current performance state of the battery, which is a parameter reflecting the overall performance of the battery and the ability to release electric energy under certain conditions. The battery operation temperature, the charge-discharge multiplying power, the discharge depth, the circulation interval, the charge-discharge cut-off voltage and the like can have influence on the health state and the service life of the battery. For new batteries, the SOH is generally greater than or equal to 100%, and as the battery is used, many unrecoverable physical and chemical factors cause the battery to age, so that the health state of the battery gradually decreases, and when the capacity of the battery decreases to less than 80%, the battery cannot be used due to the poor performance state.
The state of health SOH of a battery is related to various factors such as internal resistance, impedance, charging capability, self-discharge and the like of the battery, so that various battery parameters related to SOH are measured or calculated through various devices and means in the prior art, and the SOH is estimated through a preset estimation method. In this embodiment, the current state of health of the target battery may be calculated according to the relationship between each parameter and SOH by defining the state of health of the battery by one of battery performance parameters such as battery capacity (battery capacity degradation degree), maximum battery discharge capacity (there is a difference between the current maximum battery discharge capacity and the new maximum battery discharge capacity), and internal battery resistance (increase of the internal battery resistance is an important expression of battery aging).
In this embodiment, the current state of health of the target battery may be obtained by one of the following means: the current state of health of the target battery calculated by the vehicle machine operating system of the electric vehicle to which the target battery belongs is obtained, for example, the vehicle machine operating system or the battery control system can perform simple operation based on a local preset algorithm to obtain the current state of health of the target battery; the current state of health of the target battery calculated by the server is obtained, namely, the server can perform complex operation based on massive historical data and complex architecture to obtain the current state of health of the target battery with higher accuracy; the current state of health of the target battery calculated by the battery replacement system or the charging system of the electric automobile can be obtained, for example, when the current state of health of the target battery cannot be obtained due to the failure of the vehicle machine system of the electric automobile or the failure of establishing network connection with the service end, the current state of health of the target battery can be obtained by calculating by means of a side-end system such as the battery replacement system or the charging system of the electric automobile.
S102, selecting a target OCV-SOC relation corresponding to the current state of health of the target battery based on a corresponding relation between the pre-established state of health of the battery and the OCV-SOC relation.
After the current state of health of the target battery is obtained in the above steps, the present step is used for selecting a target OCV-SOC relationship curve corresponding to the current state of health of the target battery based on a pre-established correspondence between the battery state of health and the OCV-SOC relationship curve, that is, in this embodiment, the OCV-SOC relationship curve corresponding to different battery states exists in different battery states, and the target battery has different battery states under different use conditions, and when the OCV-SOC relationship curve is selected for the target battery, the corresponding OCV-SOC relationship curve can be selected based on the current battery state of health thereof.
In this embodiment, the correspondence between the previously established battery state of health and the OCV-SOC relationship curve may specifically be: the corresponding relation between the various battery health states matched with the various battery using conditions and the OCV-SOC relation curve; correspondingly, the selecting the target OCV-SOC relationship curve corresponding to the current state of health of the target battery may specifically refer to: and selecting the corresponding relation between the battery health state matched with the use condition of the target battery and the OCV-SOC relation from the corresponding relations between the plurality of battery health states and the OCV-SOC relation.
The battery use condition may be an external use environment of the battery, for example, a region where the battery is used, an ambient temperature, etc., or may be user operation data corresponding to the battery, for example, user driving habit data, user charging habit data, etc., of an electric vehicle to which the battery belongs.
In the present embodiment, the correspondence between the battery state of health and the OCV-SOC relationship curve may be established in advance by:
and carrying out a battery life test experiment according to battery usage data of a reference battery to obtain experimental data, and establishing a corresponding relation between a battery health state and an OCV-SOC relation curve based on the experimental data, wherein the type and the preset performance index of the reference battery are the same as or similar to those of the target battery. The process of the battery life test experiment can be as follows: calibrating battery performance parameters, open-circuit voltage and battery charge state of the reference battery by taking the time when the reference battery reaches the preset charge and discharge as a node; calculating to obtain a battery health state corresponding to each node based on a battery life cycle of the reference battery and the battery performance parameter (one of battery capacity, maximum battery discharge capacity and battery internal resistance) corresponding to each node, and obtaining an OCV-SOC relation curve corresponding to each node based on the open circuit voltage and the battery state of charge; and establishing a corresponding relation between the battery health state corresponding to each node and the OCV-SOC relation curve corresponding to each node. For example, every 50 charge-discharge cycles are used as a node, capacity calibration is performed on the reference battery, corresponding battery health states are calculated, and when the capacity calibration is performed each time, an OCV-SOC relation curve of the reference battery is calibrated, and when the charge-discharge cycles are 2000 times, 40 battery health states can be calibrated, and each battery health state corresponds to one OCV-SOC relation curve.
It should be noted that, in addition to the above-mentioned experiment mode of cyclic charge and discharge, a battery life test experiment may be performed based on a static discharge mode, for example, the reference battery is kept static for two years, so that the reference battery is naturally attenuated in a no-load state, capacity calibration is performed on the reference battery every month, a corresponding battery health state is calculated, and when each capacity calibration is performed, an OCV-SOC relationship curve of the reference battery is calibrated, and at the end of the experiment, a corresponding relationship between 24 battery health states and the OCV-SOC relationship curve may be obtained in total.
And S103, calculating and obtaining the current battery charge state of the target battery based on the target OCV-SOC relation curve.
After the target OCV-SOC relation corresponding to the current state of health of the target battery is selected through the steps, the step is used for calculating and obtaining the current battery state of charge of the target battery based on the target OCV-SOC relation, for example, grabbing the current open circuit voltage of the target battery, and calculating and obtaining the current battery state of charge of the target battery based on the open circuit voltage and the target OCV-SOC relation.
According to the battery state of charge obtaining method, after the current state of health of the target battery is obtained, the target OCV-SOC relation curve corresponding to the current state of health of the target battery is selected based on the corresponding relation between the pre-established battery state of health and the OCV-SOC relation curve, and the current battery state of charge of the target battery is calculated and obtained based on the target OCV-SOC relation curve. Because the state of health of the battery has correlation with the attenuation degree of the battery, when the SOC of the target battery is actually estimated, the SOC-OCV curve corresponding to the state of health of the target battery is selected through the corresponding state of health of the battery, so that the accuracy of the SOC estimation process can be improved, the estimation accuracy of the SOC of the battery can be ensured when the battery is attenuated to any degree, the problem that the state of charge of the battery is estimated by using the initial OCV-SOC relation curve of the battery in a brand new state in the prior art, the estimation result of the state of charge of the battery is inaccurate, and the driving mileage of an electric vehicle is inaccurate, and the driving mileage jump of the electric vehicle is generated is avoided.
The first embodiment provides a method for obtaining a state of charge of a battery, and correspondingly, another embodiment of the present application further provides a device for obtaining a state of charge of a battery, and since the device embodiment is basically similar to the method embodiment, the description is relatively simple, and details of relevant technical features should be referred to the corresponding description of the method embodiment provided above, and the following description of the device embodiment is merely illustrative.
Referring to fig. 2 for an understanding of the embodiment, fig. 2 is a block diagram of a battery state of charge obtaining apparatus according to the present embodiment, and as shown in fig. 2, the battery state of charge obtaining apparatus according to the present embodiment includes:
a health status obtaining unit 201, configured to obtain a current health status of the target battery;
a relationship curve selection unit 202, configured to select a target OCV-SOC relationship curve corresponding to the current state of health of the target battery based on a correspondence between a pre-established battery state of health and the OCV-SOC relationship curve;
and the battery charge state calculating unit 203 is configured to calculate and obtain the current battery charge state of the target battery based on the target OCV-SOC relationship curve.
Optionally, the apparatus further includes:
the experimental data obtaining unit is used for carrying out a battery life test experiment according to the battery use data of the reference battery to obtain experimental data;
and the corresponding relation establishing unit is used for establishing a corresponding relation between the battery health state and the OCV-SOC relation curve based on the experimental data.
Optionally, the performing a battery life test according to the battery usage data of the reference battery to obtain experimental data includes:
calibrating battery performance parameters, open-circuit voltage and battery charge state of the reference battery by taking the time when the reference battery reaches preset charge and discharge as a node;
calculating to obtain battery health states corresponding to all nodes based on battery performance parameters corresponding to all nodes in a battery life cycle of the reference battery, and obtaining an OCV-SOC relation curve corresponding to all nodes based on the open-circuit voltage and the battery state of charge;
and establishing a corresponding relation between the battery health state corresponding to each node and the OCV-SOC relation curve corresponding to each node.
Optionally, the battery performance parameter includes one of:
a battery capacity;
maximum discharge capacity of the battery;
and (5) internal resistance of the battery.
Optionally, the corresponding relation between the pre-established battery health state and the OCV-SOC relation includes: the corresponding relation between the various battery health states matched with the various battery using conditions and the OCV-SOC relation curve;
the selecting a target OCV-SOC relationship corresponding to the current state of health of the target battery includes: and selecting the corresponding relation between the battery health state matched with the use condition of the target battery and the OCV-SOC relation from the corresponding relation between the plurality of battery health states and the OCV-SOC relation.
Optionally, the battery usage conditions include at least one of:
an external use environment of the battery;
user operation data corresponding to the battery cell.
Optionally, the obtaining the current state of health of the target battery includes one of:
obtaining the current state of health of the target battery calculated by a vehicle machine operating system of the electric vehicle to which the target battery belongs;
obtaining the current state of health of the target battery calculated by a server;
and obtaining the current state of health of the target battery calculated by a power conversion system or a charging system of the electric automobile.
By using the battery state of charge obtaining device provided by the embodiment, since the state of health of the battery has correlation with the attenuation degree of the battery, the accuracy of the SOC estimation process can be improved by pre-establishing the corresponding relation between the state of health of the battery and the OCV-SOC curve and selecting the corresponding SOC-OCV curve through the state of health of the battery of the target battery when the SOC of the target battery is actually estimated, so that the estimation accuracy of the SOC of the battery can be ensured when the battery is attenuated to any degree, the existing problem that the state of charge of the battery is estimated by using the initial OCV-SOC relation curve of the battery in a brand new state is avoided, the estimation result of the state of charge of the battery is inaccurate, and further, the driving mileage of the electric vehicle is estimated inaccurately, and the driving mileage jump of the electric vehicle is generated is avoided.
In the foregoing embodiments, a method for obtaining a state of charge of a battery and an apparatus for obtaining a state of charge of a battery are provided, and in addition, another embodiment of the present application further provides an electronic device, and since the electronic device embodiment is substantially similar to the method embodiment, the description is relatively simple, and details of relevant technical features should be referred to the corresponding description of the method embodiment provided above, and the following description of the electronic device embodiment is merely illustrative. The electronic device embodiment is as follows:
fig. 3 is a schematic diagram of an electronic device according to the present embodiment.
As shown in fig. 3, the electronic device provided in this embodiment includes: a processor 301 and a memory 302;
the memory 302 is used to store computer instructions for data processing which, when read and executed by the processor 301, perform the following operations:
obtaining the current state of health of the target battery;
selecting a target OCV-SOC relation curve corresponding to the current state of health of the target battery based on a pre-established correspondence between the state of health of the battery and the OCV-SOC relation curve;
and calculating and obtaining the current battery charge state of the target battery based on the target OCV-SOC relation curve.
Optionally, the method further comprises: performing a battery life test experiment according to battery usage data of a reference battery to obtain experimental data; and establishing a corresponding relation between the battery health state and the OCV-SOC relation curve based on the experimental data.
Optionally, the performing a battery life test according to the battery usage data of the reference battery to obtain experimental data includes:
calibrating battery performance parameters, open-circuit voltage and battery charge state of the reference battery by taking the time when the reference battery reaches preset charge and discharge as a node;
calculating to obtain battery health states corresponding to all nodes based on battery performance parameters corresponding to all nodes in a battery life cycle of the reference battery, and obtaining an OCV-SOC relation curve corresponding to all nodes based on the open-circuit voltage and the battery state of charge;
and establishing a corresponding relation between the battery health state corresponding to each node and the OCV-SOC relation curve corresponding to each node.
Optionally, the battery performance parameter includes one of:
a battery capacity;
maximum discharge capacity of the battery;
and (5) internal resistance of the battery.
Optionally, the corresponding relation between the pre-established battery health state and the OCV-SOC relation includes: the corresponding relation between the various battery health states matched with the various battery using conditions and the OCV-SOC relation curve;
the selecting a target OCV-SOC relationship corresponding to the current state of health of the target battery includes: and selecting the corresponding relation between the battery health state matched with the use condition of the target battery and the OCV-SOC relation from the corresponding relation between the plurality of battery health states and the OCV-SOC relation.
Optionally, the battery usage conditions include at least one of:
an external use environment of the battery;
user operation data corresponding to the battery cell.
Optionally, the obtaining the current state of health of the target battery includes one of:
obtaining the current state of health of the target battery calculated by a vehicle machine operating system of the electric vehicle to which the target battery belongs; obtaining the current state of health of the target battery calculated by a server;
and obtaining the current state of health of the target battery calculated by a power conversion system or a charging system of the electric automobile.
By using the electronic device provided by the embodiment, since the state of health of the battery has correlation with the attenuation degree of the battery, when the SOC of the target battery is actually estimated, the SOC-OCV curve corresponding to the target battery is selected through the state of health of the battery, so that the accuracy of the SOC estimation process can be improved, the estimation accuracy of the SOC of the battery can be ensured when the battery is attenuated to any degree, the existing problem that the state of charge of the battery is estimated by using the initial OCV-SOC relation curve of the battery in a brand-new state, the estimation result of the state of charge of the battery is inaccurate, and further, the driving mileage estimation of the electric vehicle is inaccurate, and the driving mileage jump of the electric vehicle is generated is avoided.
In the above-described embodiments, a battery state of charge obtaining method, a battery state of charge obtaining apparatus, and an electronic device are provided, and in addition, another embodiment of the present application further provides a computer-readable storage medium for implementing the above-described battery state of charge obtaining method. The embodiments of the computer readable storage medium provided in the present application are described more simply, and reference should be made to the corresponding descriptions of the above-described method embodiments, the embodiments described below being merely illustrative.
The computer readable storage medium provided in this embodiment stores computer instructions that, when executed by a processor, implement the steps of:
obtaining the current state of health of the target battery;
selecting a target OCV-SOC relation curve corresponding to the current state of health of the target battery based on a pre-established correspondence between the state of health of the battery and the OCV-SOC relation curve;
and calculating and obtaining the current battery charge state of the target battery based on the target OCV-SOC relation curve.
Optionally, the method further comprises: performing a battery life test experiment according to battery usage data of a reference battery to obtain experimental data; and establishing a corresponding relation between the battery health state and the OCV-SOC relation curve based on the experimental data.
Optionally, the performing a battery life test according to the battery usage data of the reference battery to obtain experimental data includes:
calibrating battery performance parameters, open-circuit voltage and battery charge state of the reference battery by taking the time when the reference battery reaches preset charge and discharge as a node;
calculating to obtain battery health states corresponding to all nodes based on battery performance parameters corresponding to all nodes in a battery life cycle of the reference battery, and obtaining an OCV-SOC relation curve corresponding to all nodes based on the open-circuit voltage and the battery state of charge;
and establishing a corresponding relation between the battery health state corresponding to each node and the OCV-SOC relation curve corresponding to each node.
Optionally, the battery performance parameter includes one of:
a battery capacity;
maximum discharge capacity of the battery;
and (5) internal resistance of the battery.
Optionally, the corresponding relation between the pre-established battery health state and the OCV-SOC relation includes: the corresponding relation between the various battery health states matched with the various battery using conditions and the OCV-SOC relation curve;
the selecting a target OCV-SOC relationship corresponding to the current state of health of the target battery includes: and selecting the corresponding relation between the battery health state matched with the use condition of the target battery and the OCV-SOC relation from the corresponding relation between the plurality of battery health states and the OCV-SOC relation.
Optionally, the battery usage conditions include at least one of:
an external use environment of the battery;
user operation data corresponding to the battery cell.
Optionally, the obtaining the current state of health of the target battery includes one of:
obtaining the current state of health of the target battery calculated by a vehicle machine operating system of the electric vehicle to which the target battery belongs; obtaining the current state of health of the target battery calculated by a server;
and obtaining the current state of health of the target battery calculated by a power conversion system or a charging system of the electric automobile.
By executing the computer instructions stored on the computer readable storage medium provided in this embodiment, since the state of health of the battery has a correlation with the attenuation degree of the battery, when the SOC of the target battery is actually estimated, the SOC-OCV curve corresponding to the target battery is selected through the state of health of the battery of the target battery, so that the accuracy of the SOC estimation process can be improved, the estimation accuracy of the SOC of the battery can be ensured when the battery is attenuated to any degree, the existing estimation result of the state of charge of the battery using the initial OCV-SOC relation curve of the battery in a brand-new state is avoided, and the inaccurate estimation result of the state of charge of the battery is further caused, thereby causing inaccurate estimation of the driving mileage of the electric vehicle and generating the problem of driving jump of the electric vehicle.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
1. Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer readable media, as defined herein, does not include non-transitory computer readable media (transmission media), such as modulated data signals and carrier waves.
2. It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is not limited to the above-mentioned embodiments, but is intended to be limited to the following embodiments, and any modifications, equivalents and modifications can be made to the above-mentioned embodiments without departing from the scope of the invention.
Claims (10)
1. A battery state of charge obtaining method, characterized by comprising:
obtaining the current state of health of the target battery;
selecting a target OCV-SOC relation curve corresponding to the current state of health of the target battery based on a pre-established correspondence between the state of health of the battery and the OCV-SOC relation curve;
and calculating and obtaining the current battery charge state of the target battery based on the target OCV-SOC relation curve.
2. The method as recited in claim 1, further comprising:
performing a battery life test experiment according to battery usage data of a reference battery to obtain experimental data;
and establishing a corresponding relation between the battery health state and the OCV-SOC relation curve based on the experimental data.
3. The method of claim 2, wherein performing a battery life test experiment based on battery usage data of a reference battery to obtain experimental data comprises:
calibrating battery performance parameters, open-circuit voltage and battery charge state of the reference battery by taking the time when the reference battery reaches preset charge and discharge as a node;
calculating to obtain battery health states corresponding to all nodes based on battery performance parameters corresponding to all nodes in a battery life cycle of the reference battery, and obtaining an OCV-SOC relation curve corresponding to all nodes based on the open-circuit voltage and the battery state of charge;
and establishing a corresponding relation between the battery health state corresponding to each node and the OCV-SOC relation curve corresponding to each node.
4. The method of claim 3, wherein the battery performance parameter comprises one of:
a battery capacity;
maximum discharge capacity of the battery;
and (5) internal resistance of the battery.
5. The method of claim 1, wherein the pre-established correspondence between battery state of health and OCV-SOC relationship curve comprises: the corresponding relation between the various battery health states matched with the various battery using conditions and the OCV-SOC relation curve;
the selecting a target OCV-SOC relationship corresponding to the current state of health of the target battery includes: and selecting the corresponding relation between the battery health state matched with the use condition of the target battery and the OCV-SOC relation from the corresponding relation between the plurality of battery health states and the OCV-SOC relation.
6. The method of claim 5, wherein the battery usage conditions include at least one of:
an external use environment of the battery;
user operation data corresponding to the battery.
7. The method of claim 1, wherein obtaining the current state of health of the target battery comprises one of:
obtaining the current state of health of the target battery calculated by a vehicle machine operating system of the electric vehicle to which the target battery belongs;
obtaining the current state of health of the target battery calculated by a server;
and obtaining the current state of health of the target battery calculated by a power conversion system or a charging system of the electric automobile.
8. A battery state of charge obtaining apparatus, characterized by comprising:
the health state obtaining unit is used for obtaining the current health state of the target battery;
a relationship curve selection unit, configured to select a target OCV-SOC relationship curve corresponding to a current state of health of the target battery based on a correspondence between a pre-established battery state of health and the OCV-SOC relationship curve;
and the battery charge state calculation unit is used for calculating and obtaining the current battery charge state of the target battery based on the target OCV-SOC relation curve.
9. An electronic device comprising a processor and a memory; wherein,
the memory is for storing one or more computer instructions, wherein the one or more computer instructions are executable by the processor to implement the method of any of claims 1-7.
10. A computer readable storage medium having stored thereon one or more computer instructions executable by a processor to implement the method of any of claims 1-7.
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