CN111596222B - Method and related device for obtaining state of health of vehicle battery - Google Patents
Method and related device for obtaining state of health of vehicle battery Download PDFInfo
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- CN111596222B CN111596222B CN202010326682.0A CN202010326682A CN111596222B CN 111596222 B CN111596222 B CN 111596222B CN 202010326682 A CN202010326682 A CN 202010326682A CN 111596222 B CN111596222 B CN 111596222B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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Abstract
The application discloses a method and a related device for obtaining the state of health of a vehicle battery, wherein the method comprises the following steps: firstly, calculating the Nth estimated state of health of the vehicle battery by utilizing the Nth-1 th state of health of the vehicle battery and the Nth estimated state of health attenuation determined based on the corresponding relation between the capacity attenuation influence factor and the state of health attenuation; then, processing the Nth estimated health state and the Nth measured health state by using a Kalman filtering method to obtain the Nth health state of the vehicle battery; wherein N is a positive integer. Therefore, the health state of the vehicle battery at the Nth time can be obtained more optimally and accurately by integrating the health state estimation and the health state measurement at the Nth time of the vehicle battery by using a Kalman filtering method, and the health state of the battery obtained by the estimation and measurement methods is optimized to a certain extent, so that the capacity attenuation degree of the vehicle battery can be reflected more accurately.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method and a related apparatus for obtaining a state of health of a vehicle battery.
Background
As the use time of a vehicle battery of an electric vehicle increases, its usable capacity inevitably decreases. Generally, a battery management system of an electric vehicle monitors the state of health of a vehicle battery so that a user can ascertain the current state of the vehicle battery. The state of health of the vehicle battery is a ratio of the total capacity of the vehicle battery in the current state to the initial total capacity, so that the capacity attenuation degree of the vehicle battery is reflected.
In the prior art, the state of health of a vehicle battery is estimated or measured. The method comprises the steps of obtaining a corresponding relation between capacity attenuation influence factors of a vehicle battery and attenuation quantity of a health state through testing in advance, and estimating the health state of the vehicle battery according to capacity attenuation influence factor data of the vehicle battery in the current state; the measurement method is that the relevant data of the vehicle battery in the current state is measured firstly, and then the health state of the vehicle battery is obtained through calculation based on the relevant data.
However, the inventor of the present invention has studied and found that, for the estimation method, due to reasons such as the quality of different vehicle batteries is not completely consistent, the actual corresponding relationship between the capacity attenuation influencing factor of the vehicle battery and the attenuation amount of the state of health has a certain deviation from the corresponding relationship obtained by a pre-test, which results in a large deviation between the estimated state of health and the actual state of health of the vehicle battery; according to the measurement method, due to the fact that the driving conditions of different vehicles are different at different time, certain random errors exist in measured related data, and the deviation between the calculated health state of the vehicle battery and the actual health state is large. In summary, the state of health of the vehicle battery obtained by the estimation or measurement method has certain defects and limitations, and the capacity fading degree of the vehicle battery cannot be accurately reflected.
Disclosure of Invention
In view of the above, embodiments of the present application provide a method and related apparatus for obtaining a state of health of a vehicle battery, which optimizes the state of health of the battery obtained by the estimation and measurement methods to a certain extent, so as to reflect the degree of capacity fading of the vehicle battery more accurately.
In a first aspect, an embodiment of the present application provides a method for obtaining a state of health of a vehicle battery, including:
obtaining an Nth estimated state of health of a vehicle battery based on an Nth-1 th estimated state of health attenuation of the vehicle battery; the Nth estimated state of health attenuation amount is determined based on the corresponding relation between the capacity attenuation influence factor of the vehicle battery and the state of health attenuation amount, and N is a positive integer;
and performing Kalman filtering on the Nth estimated health state and the Nth measured health state to obtain the Nth health state of the vehicle battery.
Optionally, the performing kalman filtering on the nth estimated state of health and the nth measured state of health to obtain the nth state of health of the vehicle battery specifically includes:
and obtaining the health state of the Nth time based on the health state estimated for the Nth time, the error corresponding to the health state estimated for the Nth time, the health state measured for the Nth time and the error corresponding to the health state measured for the Nth time.
Optionally, the error corresponding to the nth estimated health state is determined based on the deviation corresponding to the N-1 th health state and the error corresponding to the nth estimated health state attenuation amount.
Optionally, the nth measurement health state obtaining step includes:
in the charging and discharging process of the vehicle battery, obtaining the Nth measured capacity of the vehicle battery based on the state of charge variation and the capacity variation corresponding to the state of charge variation;
obtaining the Nth measured state of health based on the Nth measured capacity and an initial total capacity of the vehicle battery.
Optionally, after the obtaining the nth state of health of the vehicle battery, the method further includes:
and obtaining the deviation corresponding to the health state for the Nth time based on the error corresponding to the health state estimated for the Nth time and the error corresponding to the health state measured for the Nth time.
Optionally, before the obtaining the nth state of health of the vehicle battery, the method further includes:
adjusting the error corresponding to the Nth measured state of health based on the actual condition of the vehicle battery;
correspondingly, the kalman filtering is performed on the nth estimated state of health and the nth measured state of health to obtain the nth state of health of the vehicle battery, specifically:
and obtaining the health state of the Nth time based on the health state estimated for the Nth time, the error corresponding to the health state estimated for the Nth time, the health state measured for the Nth time and the error corresponding to the health state measured for the Nth time after adjustment.
Optionally, before the obtaining the nth state of health of the vehicle battery, the method further includes:
adjusting the error corresponding to the Nth estimated state of health attenuation amount based on the actual condition of the vehicle battery;
correspondingly, the error corresponding to the Nth estimated health state is determined based on the deviation corresponding to the N-1 th health state and the error corresponding to the adjusted Nth estimated health state attenuation amount.
In a second aspect, an embodiment of the present application provides an apparatus for obtaining a state of health of a vehicle battery, the apparatus including:
a first obtaining unit configured to obtain an nth estimated state of health of a vehicle battery based on an nth-1 th state of health and an nth estimated state of health attenuation amount of the vehicle battery; the Nth estimated state of health attenuation amount is determined based on the corresponding relation between the capacity attenuation influence factor of the vehicle battery and the state of health attenuation amount, and N is a positive integer;
and the second obtaining unit is used for performing Kalman filtering on the Nth estimated health state and the Nth measured health state to obtain the Nth health state of the vehicle battery.
In a third aspect, an embodiment of the present application provides a terminal device, where the terminal device includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the method for obtaining the state of health of the vehicle battery according to any one of the first aspect described above according to instructions in the program code.
In a fourth aspect, the present application provides a computer-readable storage medium for storing program code for executing the method for obtaining the state of health of a vehicle battery according to any one of the first aspect.
Compared with the prior art, the method has the advantages that:
by adopting the technical scheme of the embodiment of the application, firstly, the Nth estimated health state of the vehicle battery is calculated by utilizing the Nth-1 th health state of the vehicle battery and the Nth estimated health state attenuation amount determined based on the corresponding relation between the capacity attenuation influence factor and the health state attenuation amount; then, processing the Nth estimated health state and the Nth measured health state by using a Kalman filtering method to obtain the Nth health state of the vehicle battery; wherein N is a positive integer. Therefore, the N-th estimated state of health and the N-th measured state of health of the vehicle battery are integrated by using the Kalman filtering method, so that the N-th state of health of the vehicle battery can be obtained more optimally and accurately, and the deviation between the N-th state of health and the actual state of health of the vehicle battery is reduced to a certain extent, so that the capacity attenuation degree of the vehicle battery can be more accurately reflected.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a system framework related to an application scenario in an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a method for obtaining a state of health of a vehicle battery according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of performing steps 201 to 202 and performing steps 201 to 202 in a subsequent N +1 loop iteration according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an apparatus for obtaining a state of health of a vehicle battery according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, 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.
At the present stage, the estimation of the state of health of the vehicle battery actually comprises the steps of testing in advance to obtain the corresponding relation between the capacity attenuation influence factor of the vehicle battery and the state of health attenuation, and estimating the state of health of the vehicle battery according to the data of the capacity attenuation influence factor of the vehicle battery in the current state; however, the masses of the different vehicle batteries cannot be completely consistent, and the actual corresponding relationship between the capacity attenuation influence factor of the vehicle battery and the state of health attenuation has a certain deviation from the corresponding relationship obtained by testing in advance, so that the deviation between the estimated state of health and the actual state of health of the vehicle battery is large.
The method for measuring the health state of the vehicle battery is characterized in that other battery related data of the vehicle battery in the current state are measured first, and then the health state of the vehicle battery is obtained through calculation based on the other battery related data; however, different vehicles run at different times, and the measured data related to other batteries have a certain random error, which results in a large deviation between the calculated state of health of the vehicle battery and the actual state of health. In summary, the state of health of the vehicle battery obtained by the estimation or measurement method has certain defects and limitations, and the capacity fading degree of the vehicle battery cannot be accurately reflected.
In order to solve the problem, in the embodiment of the application, the nth estimated state of health of the vehicle battery is calculated by using the nth-1 th state of health of the vehicle battery and the nth estimated state of health attenuation determined based on the corresponding relation between the capacity attenuation influence factor and the state of health attenuation; processing the Nth estimated health state and the Nth measured health state by using a Kalman filtering method to obtain the Nth health state of the vehicle battery; wherein N is a positive integer. Therefore, the health state of the vehicle battery is estimated for the Nth time and measured for the Nth time by the Kalman filtering method, so that the more optimized and accurate health state of the vehicle battery for the Nth time can be obtained, and the deviation between the health state of the vehicle battery for the Nth time and the actual health state is reduced to a certain extent, so that the capacity attenuation degree of the vehicle battery can be more accurately reflected.
For example, one of the scenarios in the embodiment of the present application may be applied to the scenario shown in fig. 1, where the scenario includes a battery management system 101 and a vehicle battery 102 of an electric vehicle, the battery management system 101 obtains an nth-1 th state of health and an nth measured state of health of the vehicle battery 102, and an nth state of health of the vehicle battery 102 is obtained by using the embodiment of the present application.
It is to be understood that, in the above application scenario, although the actions of the embodiment of the present application are described as being performed by the battery management system 101, the present application is not limited in terms of the subject of execution as long as the actions disclosed in the embodiment of the present application are performed.
It is to be understood that the above scenario is only one example of a scenario provided in the embodiment of the present application, and the embodiment of the present application is not limited to this scenario.
The following describes in detail a specific implementation manner of a method and a related apparatus for obtaining a state of health of a vehicle battery in an embodiment of the present application, by way of example, with reference to the accompanying drawings.
Exemplary method
Referring to fig. 2, a flow chart of a method for obtaining the state of health of a vehicle battery in an embodiment of the present application is shown. In an embodiment of the present application, the method may include, for example, the steps of:
step 201: obtaining an Nth estimated state of health of a vehicle battery based on an Nth-1 th estimated state of health attenuation of the vehicle battery; the nth estimated state of health attenuation amount is determined based on a correspondence relationship between a capacity attenuation factor of the vehicle battery and the state of health attenuation amount, N being a positive integer.
It should be noted that, in the embodiment of the present application, the nth estimated state of health of the vehicle battery may be calculated by combining the nth estimated state of health attenuation amount determined based on the correspondence relationship between the capacity attenuation factor of the vehicle battery and the state of health attenuation amount, with the nth-1 th state of health of the vehicle battery (i.e., the state of health last obtained for the nth time). The capacity fade influence factor may include, for example, one or more of battery usage time, usage mileage, accumulated usage capacity, usage temperature, usage state of charge, and charge/discharge current.
Specifically, the nth estimated state of health of the vehicle battery may be obtained based on the nth-1 st state of health of the vehicle battery and the nth estimated state of health decay amount using the following calculation formula:
SOH N(exp) ＝SOH N-1 -△SOH；
wherein, SOH N(exp) Indicating the Nth estimated state of health, SOH, of the vehicle battery N-1 Representing the Nth state of health of the vehicle battery, and Δ SOH representing the Nth estimated state of health decrement; in other words, the nth estimated state of health of the vehicle battery is specifically the nth-1 state of health of the vehicle battery minus the nth estimated state of health decay amount.
Step 202: and performing Kalman filtering on the Nth estimated health state and the Nth measured health state to obtain the Nth health state of the vehicle battery.
Firstly, it should be noted that in the embodiment of the present application, the nth measured state of health of the vehicle battery may be obtained by selecting a state of charge variation and a corresponding capacity variation in a certain interval during charging and discharging of the vehicle battery, and calculating the nth measured capacity of the vehicle battery; calculating the Nth measured state of health of the vehicle battery by the Nth measured capacity of the vehicle battery in combination with the initial total capacity of the vehicle battery. That is, in an optional implementation manner of this embodiment of the present application, the nth measurement health state obtaining step may include the following steps, for example:
step A: and in the charging and discharging process of the vehicle battery, obtaining the Nth measured capacity of the vehicle battery based on the state of charge variation and the capacity variation corresponding to the state of charge variation.
And B: obtaining the Nth measured state of health based on the Nth measured capacity and an initial total capacity of the vehicle battery.
Specifically, the nth measured state of health of the vehicle battery may be obtained by using the following calculation formula based on the state of charge variation of the vehicle battery, the capacity variation corresponding to the state of charge variation, and the initial total capacity of the vehicle battery:
wherein, SOH N(mea) Showing the state of health of the vehicle battery measured N times, wherein the delta SOC shows the state of charge variation of the vehicle battery, the delta Cap shows the capacity variation corresponding to the delta SOC, and the Cap BOL Representing an initial total capacity of the vehicle battery; in other words, the nth measured state of health of the vehicle battery is specifically a ratio of a state of charge variation of the vehicle battery to a product of a capacity variation corresponding to the state of charge variation and an initial total capacity of the vehicle battery.
Secondly, it should be noted that, since the nth estimated state of health and the nth measured state of health of the vehicle battery both have a certain deviation from the actual state of health, the capacity attenuation degree of the vehicle battery cannot be accurately reflected; therefore, in the embodiment of the application, the nth estimated state of health and the nth measured state of health of the vehicle battery are optimized by using kalman filtering to obtain a more accurate nth state of health of the vehicle battery, and the nth state of health of the vehicle battery has a smaller deviation from the actual state of health, so that the capacity fading degree of the vehicle battery can be more accurately reflected.
In practical application, the estimated nth estimated state of health of the vehicle battery has a certain error, and the measured nth measured state of health of the vehicle battery also has a certain error, and when the nth estimated state of health and the nth measured state of health are subjected to kalman filtering in step 202, the error corresponding to the nth estimated state of health needs to be combined, and the error corresponding to the nth measured state of health needs to be combined. Therefore, in an optional implementation manner of this embodiment of the present application, the step 202 may specifically be, for example: and obtaining the health state of the Nth time based on the health state estimated for the Nth time, the error corresponding to the health state estimated for the Nth time, the health state measured for the Nth time and the error corresponding to the health state measured for the Nth time.
It is noted that since the nth estimated state of health of the vehicle battery is obtained based on the nth-1 st state of health of the vehicle battery and the nth estimated state of health decrement; the method comprises the following steps that (1) the N-1 th state of health of a vehicle battery and the actual N-1 th state of health have certain deviation, and the estimated Nth estimated state of health attenuation amount has certain error; therefore, the error corresponding to the nth estimated state of health of the vehicle battery is determined by the deviation corresponding to the N-1 th estimated state of health of the vehicle battery in combination with the error corresponding to the nth estimated state of health attenuation of the vehicle battery. That is, in an optional implementation manner of this embodiment of the present application, the error corresponding to the nth estimated health state is determined based on the deviation corresponding to the N-1 st estimated health state and the error corresponding to the nth estimated health state attenuation amount.
Specifically, step 202 utilizes the following calculation:
P N ′＝P N-1 +Q N ；
wherein, SOH N Indicating the Nth State of health, SOH, of the optimized vehicle Battery N(exp) Represents the Nth estimated state of health, P, of the vehicle battery N ' represents SOH N(exp) Corresponding error, SOH N(mea) Indicating the Nth measured state of health, R, of the vehicle battery N Represents SOH N(mea) A corresponding error; p N-1 SOH for representing state of health of vehicle battery optimized N-1 Corresponding deviation, Q N The error corresponding to the nth estimated state of health attenuation quantity Δ SOH is shown.
It should be further noted that, since the nth measured state of health of the vehicle battery is affected by different actual conditions of the vehicle battery differently, before obtaining the nth state of health of the optimized vehicle battery, it may be considered to adjust an error corresponding to the nth measured state of health of the vehicle battery according to the actual conditions of the vehicle battery, so that the error corresponding to the nth measured state of health of the vehicle battery varies with the different actual conditions of the vehicle battery. Of course, the adjusted nth measured state of health of the vehicle battery is used in step 202 to make the obtained nth state of health of the vehicle battery more consistent with the actual situation of the vehicle battery. That is, in an optional implementation manner of the embodiment of the present application, before performing step 202, for example, step C may further be included: adjusting the error corresponding to the Nth measured state of health based on the actual condition of the vehicle battery; correspondingly, the step 202 may specifically be, for example: and obtaining the health state of the Nth time based on the health state estimated for the Nth time, the error corresponding to the health state estimated for the Nth time, the health state measured for the Nth time and the error corresponding to the health state measured for the Nth time after adjustment.
For example, when the vehicle battery is at different temperatures, the capacity of the vehicle battery is affected, and the nth measured state of health of the vehicle battery obtained through the steps a-B is affected, specifically, the error corresponding to the nth measured state of health of the vehicle battery is negatively correlated with the temperature, which indicates that the error corresponding to the nth measured state of health of the vehicle battery increases when the temperature decreases, and then the error corresponding to the nth measured state of health is adjusted based on the actual temperature of the vehicle battery.
For another example, when the nth measured state of health of the vehicle battery obtained in the above steps a to B is utilized, if the change amount of the state of charge is small and the nth measured state of health of the vehicle battery is affected, specifically, the error corresponding to the nth measured state of health of the vehicle battery is negatively correlated with the change amount of the state of charge, which indicates that the error corresponding to the nth measured state of health of the vehicle battery increases when the change amount of the state of charge is small, the error corresponding to the nth measured state of health of the vehicle battery is adjusted based on the actual change amount of the state of charge of the vehicle battery.
In the same way, the nth estimated state of health attenuation of the vehicle battery is affected differently by different actual conditions of the vehicle battery, and therefore, before the nth state of health of the vehicle battery is obtained, it may be considered to adjust an error corresponding to the nth estimated state of health attenuation of the vehicle battery according to the actual conditions of the vehicle battery, so that the error corresponding to the nth estimated state of health attenuation of the vehicle battery varies with the actual conditions of the vehicle battery. Of course, when the error corresponding to the nth estimated state of health of the vehicle battery is determined, the error corresponding to the nth estimated state of health attenuation of the vehicle battery after adjustment is used, so that the obtained error corresponding to the nth estimated state of health of the vehicle battery is more accurate, and the nth state of health of the vehicle battery obtained subsequently is more in line with the actual situation of the vehicle battery. Therefore, in an optional implementation manner of the embodiment of the present application, before performing step 202, for example, step D may further be included: adjusting the error corresponding to the Nth estimated state of health attenuation amount based on the actual condition of the vehicle battery; correspondingly, the error corresponding to the Nth estimated health state is determined based on the deviation corresponding to the N-1 th health state and the error corresponding to the adjusted Nth estimated health state attenuation amount.
For example, as the battery usage time, the accumulated usage capacity, the usage mileage, and the like increase, the N-th estimated state of health attenuation is influenced to increase, specifically, the error corresponding to the N-th estimated state of health attenuation of the vehicle battery is positively correlated with the capacity attenuation factor data, and when the capacity attenuation factor data increases, the error corresponding to the N-th estimated state of health attenuation of the vehicle battery increases, the error corresponding to the N-th estimated state of health attenuation is adjusted based on the actual capacity attenuation factor data of the vehicle battery.
For another example, if the calculated interval time between the nth-1 th state of health and the nth state of health of the battery vehicle is such that the nth estimated state of health attenuation is affected, specifically, the error corresponding to the nth estimated state of health attenuation of the battery vehicle is positively correlated to the calculated interval time, which indicates that the error corresponding to the N estimated state of health attenuation of the battery vehicle increases as the calculated interval time increases, the error corresponding to the N estimated state of health attenuation is adjusted based on the actual calculated interval time between the nth-1 th state of health and the nth state of health of the battery vehicle.
It should be further noted that after the nth state of health of the vehicle battery is obtained in step 202, a certain deviation exists between the nth state of health of the vehicle battery and the actual nth state of health, and a deviation corresponding to the nth state of health is calculated by using an error corresponding to the nth estimated state of health in combination with an error corresponding to the nth measured state of health, so that subsequent N +1 loop iteration is performed in steps 201 to 202; as an example, a schematic diagram of performing steps 201 to 202 and performing steps 201 to 202 iteratively in a subsequent N +1 loop is shown in fig. 3. Therefore, in an optional implementation manner of this embodiment of the present application, after step 202, for example, step E may further be included: and obtaining the deviation corresponding to the health state for the Nth time based on the error corresponding to the health state estimated for the Nth time and the error corresponding to the health state measured for the Nth time.
Specifically, step E utilizes the following calculation:
wherein, P N Indicates the deviation, P, corresponding to the Nth state of health of the vehicle battery N ' represents the Nth estimated State of health SOH of the vehicle Battery N(exp) Corresponding error, R N Indicating the state of health SOH of the vehicle battery measured N times N(mea) The corresponding error.
Through various embodiments provided by the embodiment, firstly, the nth estimated state of health of the vehicle battery is calculated by utilizing the nth-1 th state of health of the vehicle battery and the nth estimated state of health attenuation determined based on the corresponding relation between the capacity attenuation influence factor and the state of health attenuation; then, processing the Nth estimated health state and the Nth measured health state by using a Kalman filtering method to obtain the Nth health state of the vehicle battery; wherein N is a positive integer. Therefore, the health state of the vehicle battery at the Nth time can be obtained more optimally and accurately by utilizing the Kalman filtering method to synthesize the health state of the vehicle battery at the Nth time of estimation and the health state of the vehicle battery at the Nth time of measurement, and the health state of the vehicle battery obtained by the estimation and measurement method is optimized to a certain extent, so that the capacity attenuation degree of the vehicle battery can be reflected more accurately.
Exemplary devices
Referring to fig. 4, a schematic structural diagram of an apparatus for obtaining the state of health of a vehicle battery in the embodiment of the present application is shown. In this embodiment, the apparatus may specifically include:
a first obtaining unit 401 for obtaining an nth estimated state of health of a vehicle battery based on an nth-1 st state of health and an nth estimated state of health attenuation of the vehicle battery; the Nth estimated state of health decrement is determined based on a corresponding relation between the capacity attenuation influence factor of the vehicle battery and the state of health decrement, and N is a positive integer;
a second obtaining unit 402, configured to perform kalman filtering on the nth estimated state of health and the nth measured state of health, so as to obtain an nth state of health of the vehicle battery.
In an optional implementation manner of the embodiment of the present application, the second obtaining unit 402 is specifically configured to:
and obtaining the health state of the Nth time based on the health state estimated for the Nth time, the error corresponding to the health state estimated for the Nth time, the health state measured for the Nth time and the error corresponding to the health state measured for the Nth time.
In an optional implementation manner of the embodiment of the present application, the error corresponding to the nth estimated health state is determined based on the deviation corresponding to the N-1 st health state and the error corresponding to the nth estimated health state attenuation amount.
In an optional implementation manner of the embodiment of the present application, the apparatus further includes:
a third obtaining unit, configured to obtain the health status of the nth measurement;
wherein the third obtaining unit includes:
the first obtaining subunit is configured to obtain an nth measured capacity of the vehicle battery based on a state of charge variation and a capacity variation corresponding to the state of charge variation in a charging and discharging process of the vehicle battery;
a second obtaining subunit configured to obtain the nth measured state of health based on the nth measured capacity and an initial total capacity of the vehicle battery.
In an optional implementation manner of the embodiment of the present application, the apparatus further includes:
and the fourth obtaining unit is used for obtaining the deviation corresponding to the health state of the Nth time based on the error corresponding to the health state estimated for the Nth time and the error corresponding to the health state measured for the Nth time.
In an optional implementation manner of the embodiment of the present application, the apparatus further includes:
and the fifth obtaining unit is used for adjusting the error corresponding to the Nth measured state of health based on the actual condition of the vehicle battery.
In an optional implementation manner of the embodiment of the present application, the apparatus further includes:
a sixth obtaining unit, configured to adjust an error corresponding to the nth estimated state of health attenuation amount based on an actual condition of the vehicle battery.
Through various embodiments provided by the embodiment, firstly, the nth estimated state of health of the vehicle battery is calculated by utilizing the nth-1 th state of health of the vehicle battery and the nth estimated state of health attenuation determined based on the corresponding relation between the capacity attenuation influence factor and the state of health attenuation; then, processing the Nth estimated health state and the Nth measured health state by using a Kalman filtering method to obtain the Nth health state of the vehicle battery; wherein N is a positive integer. Therefore, the health state of the vehicle battery at the Nth time can be obtained more optimally and accurately by utilizing the Kalman filtering method to synthesize the health state of the vehicle battery at the Nth time of estimation and the health state of the vehicle battery at the Nth time of measurement, and the health state of the vehicle battery obtained by the estimation and measurement method is optimized to a certain extent, so that the capacity attenuation degree of the vehicle battery can be reflected more accurately.
In addition, the present application also provides a terminal device, which includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the method for obtaining the state of health of the vehicle battery according to the above method embodiments according to instructions in the program code.
The present application also provides a computer-readable storage medium for storing program code for executing the method of obtaining a state of health of a vehicle battery as described in the above method embodiments.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing is merely a preferred embodiment of the present application and is not intended to limit the present application in any way. Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application. Those skilled in the art can now make numerous possible variations and modifications to the disclosed embodiments, or modify equivalent embodiments, using the methods and techniques disclosed above, without departing from the scope of the claimed embodiments. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application still fall within the protection scope of the technical solution of the present application without departing from the content of the technical solution of the present application.
Claims (9)
1. A method of obtaining a state of health of a vehicle battery, comprising:
obtaining an Nth estimated state of health of a vehicle battery based on an Nth-1 th estimated state of health attenuation of the vehicle battery; the Nth estimated state of health attenuation amount is determined based on the corresponding relation between the capacity attenuation influence factor of the vehicle battery and the state of health attenuation amount, and N is a positive integer;
performing Kalman filtering on the Nth estimated health state and the Nth measured health state to obtain the Nth health state of the vehicle battery;
performing Kalman filtering on the Nth estimated health state and the Nth measured health state to obtain the Nth health state of the vehicle battery, specifically:
obtaining the health state of the Nth time based on the health state estimated for the Nth time, the error corresponding to the health state estimated for the Nth time, the health state measured for the Nth time and the error corresponding to the health state measured for the Nth time;
obtaining the health status of the Nth time based on the health status estimated for the Nth time, the error corresponding to the health status estimated for the Nth time, the health status measured for the Nth time and the error corresponding to the health status measured for the Nth time, wherein the obtaining of the health status of the Nth time comprises the steps of obtaining the health status of the Nth time through a formula
Obtaining the Nth health state, wherein SOH N Represents the Nth state of health, SOH N(exp) Representing the Nth estimated state of health, P' N Represents SOH N(exp) Corresponding error, SOH N(mea) Represents the health status of the Nth measurement, R N Represents SOH N(mea) The corresponding error.
2. The method of claim 1, wherein the error associated with the nth estimated state of health is determined based on the deviation associated with the N-1 th estimated state of health and the error associated with the nth estimated state of health decay.
3. The method of claim 1, wherein the nth measurement state of health obtaining step comprises:
in the charging and discharging process of the vehicle battery, obtaining the Nth measured capacity of the vehicle battery based on the state of charge variation and the capacity variation corresponding to the state of charge variation;
obtaining the Nth measured state of health based on the Nth measured capacity and an initial total capacity of the vehicle battery.
4. The method according to any one of claims 1-3, characterized in that after the obtaining the nth state of health of the vehicle battery, the method further comprises:
and obtaining the deviation corresponding to the health state for the Nth time based on the error corresponding to the health state estimated for the Nth time and the error corresponding to the health state measured for the Nth time.
5. The method of claim 1, wherein prior to the obtaining the nth state of health of the vehicle battery, the method further comprises:
adjusting the error corresponding to the Nth measured state of health based on the actual condition of the vehicle battery;
correspondingly, the kalman filtering is performed on the nth estimated state of health and the nth measured state of health to obtain the nth state of health of the vehicle battery, specifically:
and obtaining the health state of the Nth time based on the health state estimated for the Nth time, the error corresponding to the health state estimated for the Nth time, the health state measured for the Nth time and the error corresponding to the health state measured for the Nth time after adjustment.
6. The method of claim 2, further comprising, prior to said obtaining the nth state of health of the vehicle battery:
adjusting the error corresponding to the Nth estimated state of health attenuation amount based on the actual condition of the vehicle battery;
correspondingly, the error corresponding to the Nth estimated health state is determined based on the deviation corresponding to the N-1 th health state and the error corresponding to the adjusted Nth estimated health state attenuation amount.
7. An apparatus for obtaining a state of health of a vehicle battery, comprising:
a first obtaining unit configured to obtain an nth estimated state of health of a vehicle battery based on an nth-1 th state of health and an nth estimated state of health attenuation amount of the vehicle battery; the Nth estimated state of health attenuation amount is determined based on the corresponding relation between the capacity attenuation influence factor of the vehicle battery and the state of health attenuation amount, and N is a positive integer;
the second obtaining unit is used for performing Kalman filtering on the Nth estimated health state and the Nth measured health state to obtain the Nth health state of the vehicle battery;
performing Kalman filtering on the Nth estimated health state and the Nth measured health state to obtain the Nth health state of the vehicle battery, specifically:
obtaining the health state of the Nth time based on the health state estimated for the Nth time, the error corresponding to the health state estimated for the Nth time, the health state measured for the Nth time and the error corresponding to the health state measured for the Nth time;
obtaining the health status of the Nth time based on the health status estimated for the Nth time, the error corresponding to the health status estimated for the Nth time, the health status measured for the Nth time and the error corresponding to the health status measured for the Nth time, wherein the obtaining of the health status of the Nth time comprises the steps of obtaining the health status of the Nth time through a formula
Obtaining the Nth health state, wherein SOH N Represents the Nth state of health, SOH N(exp) Representing the Nth estimationHealth status of P' N Represents SOH N(exp) Corresponding error, SOH N(mea) Represents the health status of the Nth measurement, R N Represents SOH N(mea) The corresponding error.
8. A terminal device, comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the method of obtaining the state of health of a vehicle battery according to any one of claims 1-6, according to instructions in the program code.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium is configured to store program code for executing the method of obtaining a state of health of a vehicle battery of any one of claims 1-6.
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| CN113219347A (en) * | 2021-04-27 | 2021-08-06 | 东软睿驰汽车技术（沈阳）有限公司 | Battery parameter measuring method and device |
| CN114217236B (en) * | 2021-11-05 | 2024-05-10 | 东软睿驰汽车技术（沈阳）有限公司 | Method and device for determining battery health state based on cyclic charge and discharge |
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