CN110861533A - Electric vehicle SOH estimation method and device and storage medium - Google Patents

Electric vehicle SOH estimation method and device and storage medium Download PDF

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Publication number
CN110861533A
CN110861533A CN201911180153.8A CN201911180153A CN110861533A CN 110861533 A CN110861533 A CN 110861533A CN 201911180153 A CN201911180153 A CN 201911180153A CN 110861533 A CN110861533 A CN 110861533A
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China
Prior art keywords
battery
capacity
electric vehicle
discharge
soc
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CN201911180153.8A
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CN110861533B (en
Inventor
李彬彬
汪婧雅
秦李伟
朱道吉
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Anhui Jianghuai Automobile Group Corp
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Anhui Jianghuai Automobile Group Corp
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392Determining battery ageing or deterioration, e.g. state of health
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367Software therefor, e.g. for battery testing using modelling or look-up tables
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries

Abstract

The invention discloses an SOH estimation method for an electric vehicle. The method comprises the following steps: acquiring the charging capacity of the battery charged to SOC 100% and the discharging capacity of the battery; obtaining a capacity value of the battery according to the charging capacity and the discharging capacity and a preset first formula; and acquiring the SOH value of the battery according to the capacity value and a preset second formula. The invention also discloses an electric vehicle SOH estimation device and a computer readable storage medium. The invention can realize simpler and more convenient acquisition of the SOH value of the battery.

Description

Electric vehicle SOH estimation method and device and storage medium
Technical Field
The invention relates to the field of television interaction, in particular to a method and a device for estimating SOH of an electric vehicle and a computer-readable storage medium.
Background
Soh (state Of health) refers to battery capacity, health, performance status, i.e., the percentage Of the battery's full charge capacity relative to the rated capacity. The factory battery is 100% when being newly produced and 0% when being completely scrapped. The SOH value of the battery reflects the health state of the battery, the difference of the consistency of the battery is gradually increased along with the continuous attenuation of the capacity of the battery in the use process, and the SOH value of the battery is also continuously attenuated.
At present, a simple and convenient acquisition method for the SOH value of the battery pack of the electric automobile does not exist, and the conventional estimation method for the SOH value of the battery is dependent on the experience level of professional technicians, so that the more accurate SOH value of the battery cannot be acquired.
Disclosure of Invention
The invention mainly aims to provide a method and a device for estimating the SOH of an electric vehicle and a computer-readable storage medium, aiming at realizing simpler acquisition of the SOH value of a battery.
In order to achieve the above object, the present invention provides an electric vehicle SOH estimation method, including the steps of:
1. an electric vehicle SOH estimation method is characterized by comprising the following steps:
acquiring the charging capacity and the discharging capacity of the battery when the battery is charged to the SOC of 100%;
obtaining a capacity value of the battery according to the charging capacity and the discharging capacity and a preset first formula;
and acquiring the SOH value of the battery according to the capacity value and a preset second formula.
Optionally, the preset first formula is:
C=(Ccharging of electricity-CDischarge of electricity)/(100%-SOC1);
Wherein C is the capacity value of the battery, CCharging of electricityIs the charge capacity of the battery, CDischarge of electricityIs the discharge capacity, SOC, of the battery1Is a preset battery SOC correction value.
Optionally, the preset second formula is:
SOH=C/Cinitial
Wherein C is the capacity value of the battery, CInitialIs a preset initial value of the battery capacity.
Optionally, the step of obtaining the charging capacity of the battery with the SOC of 100% further includes:
acquiring a correction state of the battery, and judging whether the battery reaches a correction acquisition condition according to the correction state;
if the battery reaches the correction acquisition condition, the charging capacity of the battery charged to the SOC of 100% is acquired.
Optionally, the step of acquiring a corrected state of the battery and determining whether the battery meets a correction acquisition condition according to the corrected state further includes:
acquiring a correction state of a battery, and acquiring a temperature sensing measurement minimum temperature and an OCV correction value of the battery according to the correction state;
and judging whether the battery reaches a correction obtaining condition or not according to whether the temperature sensing measurement lowest temperature is larger than or equal to a first temperature threshold or not and whether the OCV correction value is smaller than or equal to a second threshold percentage or not.
Optionally, the step of obtaining the discharge capacity of the battery further includes:
monitoring the discharge state of the battery;
and obtaining the discharge capacity corresponding to the preset moment according to the discharge state.
Optionally, the step of obtaining the discharge capacity corresponding to the preset time according to the discharge state further includes:
acquiring a first discharge capacity of the battery when the SOC is a third threshold value after the battery is discharged according to the discharge state;
acquiring a second discharge capacity of the battery when the SOC is a fourth threshold value according to the discharge state, wherein the fourth threshold value is smaller than the third threshold value;
the first discharge capacity and the second discharge capacity are the discharge capacities.
Optionally, before the step of obtaining the first discharge capacity of the battery discharged to the SOC of the third threshold according to the discharge state, the method further includes:
judging whether the SOC of the battery is a fifth threshold value according to the discharge state, wherein the fifth threshold value is larger than the third threshold value;
and if the SOC of the battery discharged to the fifth threshold value is reached, standing the battery for more than the preset sixth threshold value time.
In addition, to achieve the above object, the present invention also provides an electric vehicle SOH estimation apparatus, including: the electric vehicle SOH estimation method comprises a memory, a processor and an electric vehicle SOH estimation program stored on the memory and capable of running on the processor, wherein the electric vehicle SOH estimation program realizes the steps of the electric vehicle SOH estimation method when being executed by the processor.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, having an electric vehicle SOH estimation program stored thereon, which when executed by a processor, implements the steps of the electric vehicle SOH estimation method described above.
The invention provides an electric vehicle SOH estimation method, an electric vehicle SOH estimation device and a computer storage medium. In the method, a charging capacity of a battery charged to an SOC of 100% and a discharging capacity of the battery are obtained; obtaining a capacity value of the battery according to the charging capacity and the discharging capacity and a preset first formula; and acquiring the SOH value of the battery according to the capacity value and a preset second formula. Through the mode, the method can conveniently acquire the relevant data of the battery in the using process of the battery and calculate and acquire the SOH value of the battery according to the relevant data of the battery.
Drawings
FIG. 1 is a schematic diagram of an apparatus in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a SOH estimation method for an electric vehicle according to a first embodiment of the present invention;
FIG. 3 is a flowchart illustrating a SOH estimation method for an electric vehicle according to a second embodiment of the present invention;
FIG. 4 is a flowchart illustrating a SOH estimation method for an electric vehicle according to a third embodiment of the present invention;
FIG. 5 is a schematic flow chart illustrating a SOH estimation method for an electric vehicle according to a fourth embodiment of the present invention;
FIG. 6 is a schematic flow chart illustrating a SOH estimation method for an electric vehicle according to a fifth embodiment of the present invention;
FIG. 7 is a flowchart illustrating a method for estimating SOH of an electric vehicle according to a sixth embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a PC, and can also be a terminal device with a data processing function, such as a smart phone, a tablet computer, a portable computer and the like.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the terminal may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a Wi-Fi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn off the display screen and/or the backlight when the mobile terminal is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the mobile terminal is stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer and tapping) and the like for recognizing the attitude of the mobile terminal; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an electric vehicle SOH estimation program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call the electric vehicle SOH estimation program stored in the memory 1005, and perform the following operations:
acquiring the charging capacity and the discharging capacity of the battery when the battery is charged to the SOC of 100%;
obtaining a capacity value of the battery according to the charging capacity and the discharging capacity and a preset first formula;
and acquiring the SOH value of the battery according to the capacity value and a preset second formula.
Further, the processor 1001 may call the electric vehicle SOH estimation program stored in the memory 1005, and further perform the following operations:
the preset first formula is as follows:
C=(Ccharging of electricity-CDischarge of electricity)/(100%-SOC1);
Wherein C is the capacity value of the battery, CCharging of electricityIs the charge capacity of the battery, CDischarge of electricityIs the discharge capacity, SOC, of the battery1Is a preset battery SOC correction value.
Further, the processor 1001 may call the electric vehicle SOH estimation program stored in the memory 1005, and further perform the following operations:
the preset second formula is as follows:
SOH=C/Cinitial
Wherein C is the capacity value of the battery, CInitialIs a preset initial value of the battery capacity.
Further, the processor 1001 may call the electric vehicle SOH estimation program stored in the memory 1005, and further perform the following operations:
the step of acquiring the charging capacity of the battery with the SOC of 100% further comprises the following steps:
acquiring a correction state of the battery, and judging whether the battery reaches a correction acquisition condition according to the correction state;
if the battery reaches the correction acquisition condition, the charging capacity of the battery charged to the SOC of 100% is acquired.
Further, the processor 1001 may call the electric vehicle SOH estimation program stored in the memory 1005, and further perform the following operations:
the step of obtaining the correction state of the battery and judging whether the battery reaches the correction obtaining condition according to the correction state further comprises the following steps:
acquiring a correction state of a battery, and acquiring a temperature sensing measurement minimum temperature and an OCV correction value of the battery according to the correction state;
and judging whether the battery reaches a correction obtaining condition or not according to whether the temperature sensing measurement lowest temperature is larger than or equal to a first temperature threshold or not and whether the OCV correction value is smaller than or equal to a second threshold percentage or not.
Further, the processor 1001 may call the electric vehicle SOH estimation program stored in the memory 1005, and further perform the following operations:
the step of obtaining the discharge capacity of the battery further comprises:
monitoring the discharge state of the battery;
and obtaining the discharge capacity corresponding to the preset moment according to the discharge state.
Further, the processor 1001 may call the electric vehicle SOH estimation program stored in the memory 1005, and further perform the following operations:
the step of obtaining the discharge capacity corresponding to the preset moment according to the discharge state further comprises:
acquiring a first discharge capacity of the battery when the SOC is a third threshold value after the battery is discharged according to the discharge state;
acquiring a second discharge capacity of the battery when the SOC is a fourth threshold value according to the discharge state, wherein the fourth threshold value is smaller than the third threshold value;
the first discharge capacity and the second discharge capacity are the discharge capacities.
Further, the processor 1001 may call the electric vehicle SOH estimation program stored in the memory 1005, and further perform the following operations:
the step of obtaining the first discharge capacity of the battery from discharging to the SOC which is the third threshold value according to the discharging state further comprises the following steps:
judging whether the SOC of the battery is a fifth threshold value according to the discharge state, wherein the fifth threshold value is larger than the third threshold value;
and if the SOC of the battery discharged to the fifth threshold value is reached, standing the battery for more than the preset sixth threshold value time.
The specific embodiment of the SOH estimation apparatus for an electric vehicle according to the present invention is substantially the same as the embodiments of the SOH estimation method for an electric vehicle described below, and will not be described herein again.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the SOH estimation method of an electric vehicle according to the present invention, and the SOH estimation method of an electric vehicle includes:
step S100, acquiring the charging capacity and the discharging capacity of the battery when the battery is charged to the SOC of 100%;
in the present embodiment, the charge capacity at which the battery is charged to SOC 100% and the discharge capacity of the battery are obtained. The charging capacity of the battery when the battery is charged to the SOC 100% is the charging capacity which is charged when the battery is fully charged after the battery enters the normal slow charging mode, namely the battery is charged to the SOC 100%. The discharge capacity of the battery is the discharge capacity released after the battery is fully charged, namely the SOC is 100%, and the discharge capacity is discharged to a specified threshold value. Whether the battery enters the normal slow charging mode or not can be determined according to the current magnitude when the battery is charged, can also be determined according to the charging time, and of course, other determination modes can also be provided. For example, if the current magnitude during charging of the battery is less than a predetermined threshold, the battery is considered to be in the normal slow charging mode. The charge capacity and discharge capacity of the battery can be obtained by a capacity circuit, can also be obtained by voltage and current value calculation, and of course, can also be obtained by other modes.
Step S200, obtaining a capacity value of the battery according to the charging capacity and the discharging capacity and a preset first formula;
after the charge capacity and the discharge capacity are obtained, a capacity value of the battery may be obtained according to a preset first formula.
The preset first formula is as follows:
C=(Ccharging of electricity-CDischarge of electricity)/(100%-SOC1);
Wherein C is the capacity value of the battery, CCharging of electricityIs the charge capacity of the battery, CDischarge of electricityIs the discharge capacity, SOC, of the battery1Is a preset battery SOC correction value.
Specifically, SOC1The determined value may be looked up in a slow charge correction table according to Tmin (lowest temperature measured by temperature sense of battery pack), and the cell V, for example, SOC, after entering the normal slow charge mode1May be 30%.
And step S300, obtaining the SOH value of the battery according to the capacity value and a preset second formula.
And after the capacity value is obtained, obtaining the SOH value of the battery according to a preset second formula according to the capacity value.
The preset second formula is as follows:
SOH=C/Cinitial
Wherein C is the capacity value of the battery, CInitialIs a preset initial value of the battery capacity.
And C is the initial capacity of the battery pack, is stored in the BMS software and can be searched and obtained in the BMS software.
The invention provides an electric vehicle SOH estimation method, an electric vehicle SOH estimation device and a computer storage medium. In the method, a charging capacity of a battery charged to an SOC of 100% and a discharging capacity of the battery are obtained; obtaining a capacity value of the battery according to the charging capacity and the discharging capacity and a preset first formula; and acquiring the SOH value of the battery according to the capacity value and a preset second formula. Through the mode, the method can conveniently acquire the relevant data of the battery in the using process of the battery and calculate and acquire the SOH value of the battery according to the relevant data of the battery.
Referring to fig. 3, fig. 3 is a schematic flow chart of a method for estimating SOH of an electric vehicle according to a second embodiment of the present invention.
Based on the foregoing embodiment, in this embodiment, before step S100, the method further includes:
step S010, acquiring a correction state of the battery, and judging whether the battery reaches a correction acquisition condition according to the correction state;
in this embodiment, the charging capacity of the battery with the SOC of 100% is obtained, and it is necessary to first obtain the correction state of the battery, and determine whether the battery reaches the correction obtaining condition according to the correction state. Specifically, whether the battery enters a normal slow charging mode is determined according to the current magnitude when the battery is charged. And if the normal slow charging mode is entered, determining that the correction acquisition condition is reached. For example, if the current magnitude during charging of the battery is less than a predetermined threshold, the battery is considered to be in the normal slow charging mode. Or the charging time is longer than the preset time, and if the charging time is longer than 30min, the battery is considered to reach the correction acquisition condition. Or acquiring the temperature sensing measurement minimum temperature and the OCV correction value of the battery in the correction state, and judging whether the battery reaches the correction acquisition condition or not according to the temperature sensing measurement minimum temperature and the OCV correction value of the battery.
If the battery reaches the correction acquisition condition, step S020 is executed: the charging capacity of the battery charged to the SOC of 100% is obtained.
And if the battery reaches the correction acquisition condition, acquiring the charging capacity of the battery after the battery reaches the correction acquisition condition until the SOC of the battery is 100%. The charged charge capacity may be obtained by a capacity circuit, or by other means.
Referring to fig. 4, fig. 4 is a schematic flow chart of a method for estimating SOH of an electric vehicle according to a third embodiment of the present invention.
Based on the foregoing embodiment, in this embodiment, the step S010 includes:
step S011, acquiring a correction state of the battery, and acquiring a temperature sensing measurement minimum temperature and an OCV correction value of the battery according to the correction state;
in the present embodiment, the corrected state of the battery is acquired, and the temperature-sensitive measurement minimum temperature and the OCV correction value of the battery are acquired based on the corrected state. The temperature sensing measurement minimum temperature of the battery can be obtained by a temperature sensor connected with the battery, and can also be obtained by other modes. The OCV correction value is a corrected SOC value obtained when the OCV correction is performed by the battery. Specifically, in the OCV correction stage, when the vehicle standing time is greater than or equal to 1h, according to the current Tmin and Vmin (the lowest voltage measured by the battery pack voltage sensor), and according to the two threshold values, a table is looked up to determine the current accurate SOC, that is, the SOC1 corresponding to the OCV is recorded.
And step S012, judging whether the battery reaches the correction acquisition condition according to whether the temperature sensing measurement lowest temperature is more than or equal to a first temperature threshold value and whether the OCV correction value is less than or equal to a second threshold value percentage.
If the lowest temperature of the temperature sensing measurement is greater than or equal to the first temperature threshold value and the OCV correction value is less than or equal to the second threshold value percentage, whether the battery reaches the correction obtaining condition or not is judged, and the charging capacity of the battery with the SOC of 100% can be obtained.
Referring to fig. 5, fig. 5 is a schematic flow chart of a method for estimating SOH of an electric vehicle according to a fourth embodiment of the present invention.
Based on the foregoing embodiment, in this embodiment, step S100 includes:
step S030, monitoring the discharge state of the battery;
in this embodiment, the discharge capacity of the battery may be monitored first. Specifically, the state of the battery discharged to different SOC values is monitored.
And step S040, obtaining the discharge capacity corresponding to the preset time according to the discharge state.
And acquiring the discharge capacity corresponding to the preset moment according to the discharge state, and discharging the discharge capacity when the battery is discharged to different SOC values. Such as discharge capacity to SOC 30%, discharge capacity to SOC 20%.
Referring to fig. 6, fig. 6 is a schematic flow chart illustrating a method for estimating an SOH of an electric vehicle according to a fifth embodiment of the present invention.
Based on the above embodiment, in the present embodiment, step S040 includes:
step S041, acquiring a first discharge capacity of the battery when the SOC is a third threshold value according to the discharge state;
in this embodiment, the first discharge capacity of the battery discharged to the SOC of the third threshold is obtained according to the discharge state. The first discharge capacity can be obtained by a capacity circuit, can also be obtained by voltage current value calculation, and of course, can also be obtained by other methods.
Step S042, acquiring a second discharge capacity of the battery when the SOC is a fourth threshold value according to the discharge state, wherein the fourth threshold value is smaller than the third threshold value;
and acquiring a second discharge capacity of the battery discharged until the SOC is a fourth threshold value according to the discharge state. The second discharge capacity can be obtained by a capacity circuit, can also be obtained by voltage current value calculation, and of course, can also be obtained by other modes.
Step S043, the first discharge capacity and the second discharge capacity are the discharge capacities.
In this embodiment, both the first discharge capacity and the second discharge capacity are the discharge capacities.
Accordingly, the preset first formula becomes:
C=(Ccharging of electricity-CDischarge 1-CDischarge 2)/(100%-SOC1);
Wherein C is the capacity value of the battery, CCharging of electricityIs the charge capacity of the battery, CDischarge 1Is a first discharge capacity, CDischarge 2Is the second discharge capacity, SOC1Is a preset battery SOC correction value.
And calculating to obtain the capacity value of the battery according to the preset first formula, and further calculating the SOH value of the battery according to the capacity value of the battery.
Referring to fig. 7, fig. 7 is a flowchart illustrating a method for estimating an SOH of an electric vehicle according to a sixth embodiment of the present invention.
Based on the foregoing embodiment, in this embodiment, before step S041, the method further includes:
step S044, judging whether the battery is discharged until the SOC is a fifth threshold value according to the discharge state, wherein the fifth threshold value is larger than the third threshold value;
in this embodiment, before the first discharge capacity of the battery discharged to the SOC of the third threshold is obtained according to the discharge state, it may be determined whether the battery is discharged to the SOC of the fifth threshold according to the discharge state.
If the battery is discharged until the SOC is the fifth threshold, executing step S045: and standing the battery for more than the preset sixth threshold duration.
And if the SOC of the battery discharged to the fifth threshold value is reached, standing the battery for more than the preset sixth threshold value time. That is, in this embodiment, before the battery is discharged to the first discharge capacity whose SOC is the third threshold, when the battery is discharged to the fifth threshold, the battery is first left standing for a predetermined time period of the sixth threshold, so that the obtained first discharge capacity is more accurate.
Specifically, in the case where the battery is not discharged, the electric vehicle SOH estimation process is as follows:
if discharging is not carried out, charging is carried out after OCV correction is carried out, and the charging is carried out until the SOC is 100 percentAt this time, the capacity C of the battery pack is equal to (C)Charging of electricity-0)/(100%-SOC1),
Reuse of SOH ═ C/CInitialThe SOH value of the battery is calculated.
In the case of a battery discharge, the electric vehicle SOH estimation process is as follows:
if discharging is carried out, recording the discharge capacity;
after the customer is fully charged, the SOC is 100%, the 1 st time of discharging is carried out until the SOC is 65%, and the customer stands still (the time is not limited);
discharging to SOC 45% (fifth threshold) for the 2 nd time, standing, wherein the standing time needs to exceed 1h (preset sixth threshold duration), obtaining OCV correction, and obtaining the SOC corresponding to the accurate OCV1
Discharging to SOC 30% (third threshold) for the 3 rd time, recording the discharge capacity at this time, CDischarge 1
Discharge 4 th time to SOC 20% (fourth threshold), and the discharge capacity at this time, CDischarge 2
After the 4 th discharge, the charge was started, and the charge capacity when the charge was charged to the SOC of 100% was recorded as CCharging of electricity
At this time, the capacity C of the battery pack is equal to (C)Charging of electricity-CDischarge 1-CDischarge 2)/(100%-SOC1);
Reuse of SOH ═ C/CInitialThe SOH value of the battery is calculated.
In addition, the embodiment of the invention also provides a computer readable storage medium.
The computer readable storage medium of the present invention stores thereon an electric vehicle SOH estimation program, which when executed by a processor, implements the steps of the electric vehicle SOH estimation method as described above.
The method implemented when the electric vehicle SOH estimation program running on the processor is executed may refer to various embodiments of the electric vehicle SOH estimation method of the present invention, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. An electric vehicle SOH estimation method is characterized by comprising the following steps:
acquiring the charging capacity and the discharging capacity of the battery when the battery is charged to the SOC of 100%;
obtaining a capacity value of the battery according to the charging capacity and the discharging capacity and a preset first formula;
and acquiring the SOH value of the battery according to the capacity value and a preset second formula.
2. The method of estimating SOH of an electric vehicle of claim 1, wherein the predetermined first formula is:
C=(Ccharging of electricity-CDischarge of electricity)/(100%-SOC1);
Wherein C is the capacity value of the battery, CCharging of electricityIs the charge capacity of the battery, CDischarge of electricityIs the discharge capacity, SOC, of the battery1Is a preset battery SOC correction value.
3. The method of estimating SOH of an electric vehicle according to claim 1, wherein the predetermined second formula is:
SOH=C/Cinitial
Wherein C is the capacity value of the battery, CInitialIs a preset initial value of the battery capacity.
4. The method of estimating SOH of an electric vehicle according to claim 1, wherein said step of obtaining a charging capacity of the battery to a SOC of 100% further comprises:
acquiring a correction state of the battery, and judging whether the battery reaches a correction acquisition condition according to the correction state;
if the battery reaches the correction acquisition condition, the charging capacity of the battery charged to the SOC of 100% is acquired.
5. The electric vehicle SOH estimation method according to claim 4, wherein the step of acquiring the corrected state of the battery and determining whether the battery reaches the correction acquisition condition based on the corrected state further comprises:
acquiring a correction state of a battery, and acquiring a temperature sensing measurement minimum temperature and an OCV correction value of the battery according to the correction state;
and judging whether the battery reaches a correction obtaining condition or not according to whether the temperature sensing measurement lowest temperature is larger than or equal to a first temperature threshold or not and whether the OCV correction value is smaller than or equal to a second threshold percentage or not.
6. The method of estimating SOH of an electric vehicle according to claim 1, wherein said step of obtaining the discharge capacity of the battery further comprises:
monitoring the discharge state of the battery;
and obtaining the discharge capacity corresponding to the preset moment according to the discharge state.
7. The method of estimating SOH of an electric vehicle according to claim 1, wherein said step of obtaining a discharge capacity corresponding to a preset time according to said discharge state further comprises:
acquiring a first discharge capacity of the battery when the SOC is a third threshold value after the battery is discharged according to the discharge state;
acquiring a second discharge capacity of the battery when the SOC is a fourth threshold value according to the discharge state, wherein the fourth threshold value is smaller than the third threshold value;
the first discharge capacity and the second discharge capacity are the discharge capacities.
8. The method of estimating SOH of an electric vehicle according to claim 7, wherein said step of obtaining a first discharge capacity of the battery discharged to the SOC of the third threshold value according to the discharge state further comprises:
judging whether the SOC of the battery is a fifth threshold value according to the discharge state, wherein the fifth threshold value is larger than the third threshold value;
and if the SOC of the battery discharged to the fifth threshold value is reached, standing the battery for more than the preset sixth threshold value time.
9. An electric vehicle SOH estimation apparatus, characterized by comprising: a memory, a processor and an electric vehicle SOH estimation program stored on the memory and operable on the processor, the electric vehicle SOH estimation program when executed by the processor implementing the steps of the electric vehicle SOH estimation method of any one of claims 1 to 8.
10. A computer-readable storage medium, wherein the computer-readable storage medium has stored thereon an electric vehicle SOH estimation program, which when executed by a processor, implements the steps of the electric vehicle SOH estimation method according to any one of claims 1 to 8.
CN201911180153.8A 2019-11-25 Electric vehicle SOH estimation method and device and storage medium Active CN110861533B (en)

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