CN111434517A - Method for managing a battery of a vehicle, battery management device and vehicle - Google Patents
Method for managing a battery of a vehicle, battery management device and vehicle Download PDFInfo
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- CN111434517A CN111434517A CN201811590353.6A CN201811590353A CN111434517A CN 111434517 A CN111434517 A CN 111434517A CN 201811590353 A CN201811590353 A CN 201811590353A CN 111434517 A CN111434517 A CN 111434517A
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
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- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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Abstract
The present disclosure relates to a method for managing a battery of a vehicle, comprising determining a charge threshold of the battery based on a health of the battery, the charge threshold indicating a charge level at which the battery is to enter a state of charge; acquiring a current charging electric quantity value of the storage battery; and determining a wait time before the battery is to enter the state of charge based at least in part on the threshold charge capacity and the current charge capacity value. In this way, it is possible to prevent the vehicle from being excessively discharged in the non-running state, thereby rendering the vehicle unable to start. Therefore, the service life of the storage battery is effectively prolonged, and the vehicle anchorage rate is reduced.
Description
Technical Field
Embodiments of the present disclosure relate generally to energy management, and more particularly, to a method for managing a battery of a vehicle, a battery management apparatus, and a vehicle.
Background
Vehicles, particularly electric vehicles, may consume the amount of electricity in the battery even in a non-running state by certain electronic components inside the vehicle, such consumption current being referred to as "dark current". When the battery is low, the battery may request to feed a power supply, such as a direct current power supply (DC-DC), to power the battery.
Conventionally, it is impossible to accurately judge the waiting time from the sleep state of the control unit of the secondary battery to the awake state in which the control unit requests the charging of the secondary battery. If the control unit continuously monitors the amount of electricity of the storage battery, the production cost is increased, and the service life of the control unit is reduced.
Disclosure of Invention
Embodiments of the present disclosure are directed to a method for managing a battery of a vehicle, a battery management apparatus, and a vehicle, to solve the problems in the related art.
In a first aspect of the present disclosure, there is provided a method for managing a battery of a vehicle, comprising: determining a charge threshold for the battery based on the health of the battery, the charge threshold indicating a level of charge at which the battery is to enter a state of charge; acquiring a current charging electric quantity value of the storage battery; and determining a wait time before the battery is to enter the state of charge based at least in part on the threshold charge capacity and the current charge capacity value.
According to some embodiments, determining the threshold charge level of the battery comprises: acquiring the health degree of the storage battery; determining a corresponding relation between the health degree of the storage battery and the charging electric quantity threshold value; and determining the charging capacity threshold value based on the health degree and the correspondence relationship.
According to some embodiments, determining the correspondence comprises: determining a weighted value associated with a health of the battery; determining the rated charging capacity of the storage battery; and determining the correspondence relationship based on the weighting value and the rated charge capacity of the storage battery.
According to some embodiments, determining the latency comprises: acquiring a current value required by the vehicle in a non-driving state; determining a reference time value associated with the wait time based on the current value, the charge level threshold, and the current charge level value; and determining the wait time based on the reference time value.
According to some embodiments, determining the latency based on the reference time value comprises: determining the reference time value as the wait time in response to the reference time value being greater than a time threshold.
According to some embodiments, wherein determining the latency based on the reference time value comprises: the wait time is set to a predetermined time interval.
According to some embodiments, wherein the predetermined time interval is 5 minutes.
According to certain embodiments, wherein the vehicle comprises an electric vehicle.
In a second aspect of the present disclosure, a battery management apparatus is provided. The battery management apparatus includes at least one processor and at least one memory including computer program instructions. The at least one memory and the computer program instructions are configured to, with the at least one processor, cause the battery management apparatus to perform the method according to the first aspect.
In a third aspect of the disclosure, a computer-readable medium is provided. The computer readable medium comprising machine executable instructions which, when executed, cause a machine to perform the method according to the first aspect.
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the disclosure, nor is it intended to be used to limit the scope of the disclosure.
Drawings
The above and other objects, features and advantages of the embodiments of the present disclosure will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the present disclosure are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
FIG. 1 shows a schematic diagram of an exemplary scenario in which embodiments of the present disclosure can be implemented.
Fig. 2 shows a schematic diagram of a battery management apparatus according to an embodiment of the present disclosure.
FIG. 3 shows a flow chart of a method 300 for managing a battery of a vehicle according to an embodiment of the present disclosure.
Fig. 4 shows a schematic block diagram of a device 400 that may be used to implement embodiments of the present disclosure.
Like or corresponding reference characters designate like or corresponding parts throughout the several views.
Detailed Description
Hereinafter, various exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. It should be noted that the drawings and description relate to exemplary embodiments only. It is noted that from the following description, alternative embodiments of the structures and methods disclosed herein are readily contemplated and may be employed without departing from the principles of the present disclosure as claimed.
It should be understood that these exemplary embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the present disclosure, and are not intended to limit the scope of the present disclosure in any way.
The term "include" and variations thereof as used herein is meant to be inclusive in an open-ended manner, i.e., "including but not limited to". Unless specifically stated otherwise, the term "or" means "and/or". The term "based on" means "based at least in part on". The terms "one example embodiment" and "one embodiment" mean "at least one example embodiment". The term "another embodiment" means "at least one additional embodiment". Other explicit and implicit definitions are also possible below.
Vehicles, particularly electric vehicles, may consume the amount of electricity in the battery even in a non-running state by certain electronic components inside the vehicle, such consumption current being referred to as "dark current". When the battery is low, the battery may request to feed a power supply, such as a direct current power supply (DC-DC), to power the battery.
Conventionally, it is impossible to accurately judge the waiting time from the sleep state of the control unit of the secondary battery to the awake state in which the control unit requests the charging of the secondary battery. If the control unit continuously monitors the battery state of the secondary battery, such as voltage, capacity, etc., it will cause an increase in production cost, reduce the service life of the Electronic Control Unit (ECU), and be disadvantageous to the system power supply design.
If the vehicle is set such that the Body Control Module (BCM) is actively awakened to monitor the state of the battery at predetermined time intervals, for example, using a timer, it is necessary to accurately determine the predetermined time intervals. Once the time interval is predetermined to be excessively long, the vehicle may be overcharged in a non-driving state for a long time (e.g., at night), causing the vehicle to fail to start normally. And once the time interval is predetermined to be too long, the service life of the battery of the vehicle may be affected.
To address the above-described problems, and potentially others, embodiments of the present disclosure propose a solution to manage the wait time before the battery enters a state of charge, such that the wait time can be accurately calculated.
FIG. 1 shows a schematic diagram of an exemplary scenario in which embodiments of the present disclosure can be implemented. As shown in fig. 1, a battery management apparatus 110 capable of managing operations related to charging, discharging, and performance monitoring of a battery (not shown) for the vehicle 100 is generally included in the vehicle 100, particularly an electric vehicle.
Fig. 2 shows a schematic diagram of a battery management apparatus 110 according to an embodiment of the present disclosure. As shown in fig. 2, in general, the battery management apparatus 110 may include a battery 111, a smart battery sensor (IBS)112, an Electronic Control Unit (ECU)113, and a power supply 114. The vehicle 100 may be charged by any power source 114, either wired or wirelessly. The power supply 114 may be, for example, a direct current to direct current power supply (DC-DC). Although the power supply 114 is disposed inside the vehicle in the present embodiment, it should be understood that the power supply 114 may be disposed outside the vehicle.
The battery 111 is one of the main power supply sources of the vehicle 100. Even in the case where the vehicle 100 is not started, the battery 111 supplies some of the low-voltage electric appliances inside the vehicle 100 with power, and the supplied current is referred to as "dark current". The battery 111 is used as a starting power supply when the vehicle 100 is started, and is charged by the power supply 114 as an electrical appliance after the start. When the electrical load of the vehicle 100 exceeds the capacity of the power supply 114, the storage battery 111 assists in discharging, ensuring the stability of the vehicle power supply system.
The IBS112 is configured to monitor state parameters of the battery, such as a state of charge (SOC), a state of health (SOH), a temperature, a current, and a voltage of the battery, of the battery 111, and feed back the monitoring results of the parameters to the ECU 113 for processing.
The ECU 113 is configured to control the battery according to the parameters provided by the IBS 112. For example, the ECU 113 may include predetermined algorithms and strategies to determine the time T at which to next wake the vehicle 100 to monitor the state information of the battery 111 based on the parameters provided by the IBS 112. It should be understood that the ECU 113 may be a separate control module, a battery management module integrated in the battery, a vehicle control system integrated in the vehicle, or the like.
IN the battery management apparatus 110, the IBS112 may be a slave node, the master node may be the ECU113 supporting L IN communication, and the ECU113 and the power supply 114 may communicate via a CAN bus.
FIG. 3 shows a flow chart of a method 300 for managing a battery of a vehicle according to an embodiment of the present disclosure. In some embodiments, the method 300 may be implemented by the battery management apparatus 110 shown in fig. 1 and 2, for example, by the ECU 113 in the battery management apparatus 110. Alternatively, the method 300 may be implemented by another processing unit independent of the vehicle 100. For ease of discussion, the method 300 will be discussed in conjunction with fig. 1 and 2.
As shown in fig. 3, at block 310, the battery management device 110 determines a charge threshold for the battery 111 based on the health of the battery 111. The charge level threshold indicates a level of charge at which the battery 111 is to be charged.
In certain embodiments, the term "health" may be understood, for example, as the state of health of the battery 111, which may be associated with environmental factors such as age, length of use, temperature, humidity, etc. of the battery. The health of the battery can affect the state of charge of the battery.
In some embodiments, the threshold charge level of the battery may be understood as the lowest charge level value of the battery, which may be, for example, 30%, 40%, 50%, etc. of the nominal charge level value. When the charge of the battery falls to the charge threshold, it means that the battery needs to be charged.
In certain embodiments, the battery management device 110 may obtain the health of the battery 111, which can be monitored by the IBS112, for example. The storage battery management apparatus 110 may determine a correspondence of the degree of health of the storage battery to the charge capacity threshold value and determine the charge capacity threshold value based on the degree of health and the correspondence.
In certain embodiments, the battery management device 110 may determine a weighted value associated with the health of the battery and determine a nominal charge capacity of the battery. In some embodiments, the battery management device 110 may determine the correspondence between the health of the battery and the charge threshold based on the weighted value and the rated charge of the battery.
For example, the correspondence may be expressed as:
SOCTH＝A-B*SOH (1)
Wherein the SOC THRepresenting a charge threshold, SOH representing the health of the battery, a representing the nominal charge of the battery, which may be in the range of 70% -90%, for example, and B representing a weighting value associated with the health of the battery, which may be in the range of 0.3 to 0.7, for example.
From the above correspondence relationship, for example, when a is 80 and B is 0.5, the correspondence values between the degree of health of the battery and the threshold value of the amount of charge can be obtained in table 1.
TABLE 1
| SOH(％) | SOCTH(％) |
| 100 | 30 |
| 80 | 40 |
| 60 | 50 |
| 40 | 60 |
| 20 | 70 |
It can be seen that the lower the health of the battery, the higher the threshold of charge of the battery is required, since the charge of the battery may drain more rapidly as the battery ages or is subjected to harsh environments.
Referring again to fig. 3, at block 320, the battery management system 110 obtains the current state of charge SOC of the battery CU. Likewise, the current state of charge of the battery can be provided, for example, by IBS 112.
At block 330, the battery management system 110 determines a wait time T before the battery is to enter the state of charge based at least in part on the charge threshold and the current charge value.
In some embodiments, battery management system 110 may obtain a current value I required for the vehicle in a non-driving state. The current value can be provided by IBS112, for example. The battery management system 110 may be based on the current value I and the threshold charge amount SOC THAnd the current charging electric quantity value SOC CUDetermining the phase of the waiting time T Associated reference time value T REF。
The reference time value T associated with the wait time T may be determined, for example, based on REF：
TREF＝(SOCCU*SOH-SOCTH)/I (2)
Substituting equation (1) into equation (2) yields:
TREF＝(SOCCU*SOH-(A-B*SOH))/I (3)
In some embodiments, the battery management system 110 may determine the wait time T based on the reference time value determined to be yes in the above equation.
If the battery management system 110 determines the reference time value T REFGreater than a time threshold, e.g., greater than 0, the time value T may be referenced REFThe waiting time T is determined. This means that the ECU 113 is timed after the sleep of the ECU 113, and after the waiting time T elapses, the ECU 113 is awakened to monitor the SOC of the battery CUIf SOC is CULower than charging threshold SOC THThe intelligent charging state is entered.
If the battery management system 110 determines the reference time value T REFIf the time threshold is less than, for example, less than 0, the current battery state of charge SOC is indicated CUHas been less than the threshold SOC THIn this case, the waiting time T may be set as small as possible, for example, 5 minutes. So that the ECU 113 initiates the state of charge after a short sleep.
In this way, the time for entering the intelligent charging next time can be accurately calculated, so that the over-discharge power feeding of the storage battery can be avoided, and the vehicle can be prevented from being incapable of starting. Meanwhile, the method can effectively prolong the service life of the storage battery and reduce the anchoring rate of the vehicle.
Fig. 4 illustrates a simplified block diagram of a device 400 suitable for implementing embodiments of the present disclosure. In some embodiments, device 400 may be used to implement a battery management device, such as battery management device 110 shown in fig. 1 and 2.
As shown in fig. 4, the apparatus 400 includes a controller 410. The controller 410 controls the operation and functions of the device 400. For example, in some embodiments, the controller 410 may perform various operations by way of instructions 430 stored in a memory 420 coupled thereto.
The memory 420 may be of any suitable type suitable to the local technical environment and may be implemented using any suitable data storage technology, including but not limited to semiconductor-based memory devices, magnetic memory devices and systems, optical memory devices and systems. It will be appreciated that although only one memory 420 is illustrated in FIG. 4, a plurality of physically distinct memory units may be present in device 400.
The controller 410 may be of any suitable type suitable to the local technical environment, and may include, but is not limited to, one or more of general purpose computers, special purpose computers, microcontrollers, digital signal controllers (DSPs), and controller-based multi-core controller architectures. The device 400 may also include a plurality of controllers 410. The controller 410 is coupled to a transceiver 440, which transceiver 440 may enable the reception and transmission of information by way of one or more antennas 450 and/or other components.
When device 400 is acting as battery management device 110, controller 410, memory 420, instructions 430, and transceiver 440 may cooperate to implement method 300 described above with reference to the figures. All of the features described above with reference to fig. 3 apply to the apparatus 400 and are not described in detail herein.
It should be noted that the embodiments of the present disclosure can be realized by hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided, for example, in programmable memory or on a data carrier such as an optical or electronic signal carrier.
By way of example, embodiments of the disclosure may be described in the context of machine-executable instructions, such as those included in program modules, being executed in a device on a target real or virtual processor. Generally, program modules include routines, programs, libraries, objects, classes, components, data structures, etc. that perform particular tasks or implement particular abstract data types. In various embodiments, the functionality of the program modules may be combined or divided between program modules as described. Machine-executable instructions for program modules may be executed within local or distributed devices. In a distributed facility, program modules may be located in both local and remote memory storage media.
Computer program code for implementing the methods of the present disclosure may be written in one or more programming languages. These computer program codes may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the computer or other programmable data processing apparatus, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. The program code may execute entirely on the computer, partly on the computer, as a stand-alone software package, partly on the computer and partly on a remote computer or entirely on the remote computer or server.
In the context of the present disclosure, computer program code or related data may be carried by any suitable carrier to enable a device, apparatus or processor to perform various processes and operations described above. Examples of a carrier include a signal, computer readable medium, and the like. Examples of signals may include electrical, optical, radio, acoustic, or other forms of propagated signals, such as carrier waves, infrared signals, and the like.
The computer readable medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination thereof. More detailed examples of a computer-readable storage medium include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical storage device, a magnetic storage device, or any suitable combination thereof.
Further, while the operations of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Rather, the steps depicted in the flowcharts may change the order of execution. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions. It should also be noted that the features and functions of two or more devices according to the present disclosure may be embodied in one device. Conversely, the features and functions of one apparatus described above may be further divided into embodiments by a plurality of apparatuses.
While the present disclosure has been described with reference to several particular embodiments, it is to be understood that the disclosure is not limited to the particular embodiments disclosed. The disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. A method for managing a battery of a vehicle, comprising:
Determining a charge threshold for the battery based on the health of the battery, the charge threshold indicating a level of charge at which the battery is to enter a state of charge;
Acquiring a current charging electric quantity value of the storage battery; and
Determining a wait time before the battery is to enter the state of charge based at least in part on the threshold amount of charge and the current charge magnitude value.
2. The method of claim 1, wherein determining the charge threshold for the battery comprises:
Acquiring the health degree of the storage battery;
Determining a corresponding relation between the health degree of the storage battery and the charging electric quantity threshold value; and
Determining the charging capacity threshold based on the health degree and the correspondence.
3. The method of claim 2, wherein determining the correspondence comprises:
Determining a weighted value associated with a health of the battery;
Determining the rated charging capacity of the storage battery; and
Determining the correspondence relationship based on the weighting value and the rated charge capacity of the storage battery.
4. The method of claim 1, wherein determining the latency comprises:
Acquiring a current value required by the vehicle in a non-driving state;
Determining a reference time value associated with the wait time based on the current value, the charge level threshold, and the current charge level value; and
Determining the wait time based on the reference time value.
5. The method of claim 4, wherein determining the latency based on the reference time value comprises:
Determining the reference time value as the wait time in response to the reference time value being greater than a time threshold.
6. The method of claim 4, wherein determining the latency based on the reference time value comprises:
Setting the wait time to a predetermined time interval in response to the reference time value being less than a time threshold.
7. The method of claim 6, wherein the predetermined time interval is 5 minutes.
8. The method of claim 1, wherein the vehicle comprises an electric vehicle.
9. A battery management apparatus, comprising:
At least one processor; and
At least one memory including computer program instructions, the at least one memory and the computer program instructions configured to, with the at least one processor, cause the battery management apparatus to perform the method of any of claims 1-8.
10. A computer readable medium comprising machine executable instructions that when executed cause a machine to perform the method of any one of claims 1-8.
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| WO2024055838A1 (en) * | 2022-09-13 | 2024-03-21 | 达芬骑动力科技(北京)有限公司 | Method and system for evaluating state of health of battery |
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Application publication date: 20200721 |