CN113306449A - Battery health reminding method and system for new energy automobile - Google Patents
Battery health reminding method and system for new energy automobile Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION 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
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION 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
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
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Abstract
The embodiment of the invention provides a battery health reminding method and system for a new energy automobile, and belongs to the technical field of new energy automobiles. The method comprises the following steps: acquiring operating parameters and charging parameters of the new energy automobile related to battery health; based on the first battery health assessment model and the second battery health assessment model, determining a first influence parameter showing the battery health influence degree corresponding to the current charging parameter and a first sub-influence degree parameter corresponding to the first influence parameter, a second influence parameter and a second sub-influence degree parameter corresponding to the second influence parameter; acquiring the estimated battery health degree of the new energy automobile; and when the estimated battery health degree is smaller than the target health degree threshold value, controlling the new energy automobile to send out a battery excessive loss prompt, and comparing and displaying the higher one of the first sub-influence degree parameter and the second sub-influence degree parameter. The invention combines the behavior habit problem of the battery of the new energy automobile in the using process, evaluates the health condition and the service life of the battery and prolongs the service life of the battery.
Description
Technical Field
The invention relates to the technical field of new energy automobiles, in particular to a battery health reminding method and system of a new energy automobile.
Background
At present, the new energy automobile mainly adopts DCDC to charge the battery, so that the battery of the new energy automobile is the most important component of the electric automobile. The battery life at present is generally 2-4 years, for some users with poor habits, the battery life is used up soon, if the battery is not replaced, the endurance of the automobile is reduced, other parts of the automobile are in failure, and the like, and if the battery is replaced, the price is higher. Therefore, the service life of the battery at the present stage is a more critical technology affecting the popularization of new energy vehicles.
Disclosure of Invention
The invention aims to provide a battery health reminding method and system for a new energy automobile, which can be used for evaluating the health condition and the service life of a battery by combining the behavior habit problems of the battery of the new energy automobile in the using process, prompting a user to protect the battery and prolonging the service life of the battery.
In order to achieve the above object, an embodiment of the present invention provides a method for reminding battery health of a new energy vehicle, where the method for reminding battery health of a new energy vehicle includes: acquiring operation parameters and charging parameters of the new energy automobile related to battery health, wherein the operation parameters comprise the automobile accelerator treading degree condition and the automobile function equipment using condition, and the charging parameters comprise the charging times, the charging power and the automobile working mode during charging; based on the first battery health assessment model, determining a first influence parameter which shows the battery health influence degree and corresponds to the current operation parameter and a first sub-influence degree parameter which corresponds to the first influence parameter; determining a second influence parameter which shows the influence degree of the battery health and corresponds to the current charging parameter and a second sub-influence degree parameter which corresponds to the current charging parameter based on a second battery health evaluation model; acquiring estimated battery health of the new energy automobile under the influence of the first influence parameter and the second influence parameter; and acquiring a target health degree threshold value of the new energy automobile at the current service time, controlling the new energy automobile to send a prompt of excessive battery loss when the estimated battery health degree is smaller than the target health degree threshold value, and comparing and displaying a higher one of the first sub-influence degree parameters and a higher one of the second sub-influence degree parameters.
Preferably, the method for obtaining the first battery health assessment model includes: establishing an untrained first battery health assessment model, wherein the input of the first battery health assessment model is an operation parameter, and the output of the first battery health assessment model is a first influence parameter and a first sub-influence degree parameter corresponding to the first influence parameter; acquiring historical data of the operation parameters, the first influence parameters and the corresponding first sub-influence degree parameters; and training based on the historical data to obtain the trained first battery health assessment model.
Preferably, the obtaining of the estimated battery health of the new energy automobile under the influence of the first influence parameter and the second influence parameter includes: acquiring current vehicle type information of a vehicle; determining current battery health degree weights corresponding to the first influence parameter and the second influence parameter of the current vehicle type information according to a weight corresponding relation between preset vehicle type information and battery health degree weights; and calculating the estimated battery health degree of the new energy automobile based on the current battery health degree weight, the first influence parameter and the second influence parameter.
Preferably, the calculating the estimated battery health SoH of the new energy automobile based on the current battery health weights a and b, the first influence parameter p and the second influence parameter q includes:
calculating the estimated battery health degree SoH of the new energy automobile through the following formula:
SoH＝a*p+b*q。
preferably, the acquiring of the target health degree threshold of the new energy automobile at the current use time comprises: the method comprises the steps that a cloud platform obtains curve corresponding relations of vehicle type information and a health threshold curve, wherein the health threshold curve is configured to be an association curve of variable use time and a target health degree threshold; determining a current health threshold curve corresponding to the current vehicle type information based on the curve corresponding relation; and determining a target health threshold corresponding to the current use time based on the current health threshold curve.
Preferably, the method for reminding the battery health of the new energy automobile further comprises the following steps: obtaining the change rate of the current estimated battery health degree and the last estimated battery health degree; and when the change rate is larger than a preset change threshold value, controlling the new energy automobile to send out a battery use abnormity prompt.
In addition, the invention also provides a battery health reminding system of the new energy automobile, which comprises the following components: the device comprises a parameter acquisition unit, a charging unit and a control unit, wherein the parameter acquisition unit is used for acquiring operating parameters and charging parameters of the new energy automobile related to battery health, the operating parameters comprise the stepping degree condition of an automobile accelerator and the service condition of automobile functional equipment, and the charging parameters comprise the charging times, the charging power and the working mode of the automobile during charging; the first parameter determination unit is used for determining a first influence parameter which shows the influence degree of the battery health and corresponds to the current operation parameter and a first sub-influence degree parameter which corresponds to the first influence parameter on the basis of the first battery health evaluation model; the second parameter determining unit is used for determining a second influence parameter which shows the influence degree of the battery health and corresponds to the current charging parameter and a second sub-influence degree parameter which corresponds to the current charging parameter based on a second battery health evaluation model; the health degree obtaining unit is used for obtaining the estimated battery health degree of the new energy automobile under the influence of the first influence parameter and the second influence parameter; and the reminding display unit is used for acquiring a target health degree threshold value of the new energy automobile at the current service time, controlling the new energy automobile to send out a battery excessive loss reminding when the estimated battery health degree is smaller than the target health degree threshold value, and comparing and displaying a higher one of the first sub-influence degree parameters and a higher one of the second sub-influence degree parameters.
Preferably, the first parameter determination unit includes: the model establishing module is used for establishing an untrained first battery health assessment model, wherein the input of the first battery health assessment model is an operation parameter, and the output of the first battery health assessment model is a first influence parameter and a first sub-influence degree parameter corresponding to the first influence parameter; the data acquisition module is used for acquiring historical data of the operation parameters, the first influence parameters and the corresponding first sub-influence degree parameters; and the model acquisition module is used for training based on the historical data to obtain the trained first battery health assessment model.
In addition, the invention also provides a machine-readable storage medium, wherein the machine-readable storage medium is stored with instructions, and the instructions are used for enabling a machine to execute the method for reminding the battery health of the new energy automobile.
In addition, the present invention also provides a processor for executing a program, wherein the program is executed to perform: the method for reminding the battery health of the new energy automobile is described above.
According to the technical scheme, the battery health reminding method of the new energy automobile realizes health evaluation of the new energy automobile by combining the operation parameters and the charging parameters related to battery health, estimates the current battery health under the influence of the operation parameters and the charging parameters, controls the new energy automobile to send loss reminding when the estimated battery health is smaller than the target health threshold, and shows that one of the first sub-influence degree parameters is higher and one of the second sub-influence degree parameters is higher for reminding the loss condition of the automobile.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
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The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
fig. 1 is a flowchart illustrating a battery health reminding method of a new energy vehicle according to the present invention;
fig. 2 is a flowchart illustrating the method for obtaining the estimated battery health of the new energy vehicle under the influence of the first influencing parameter and the second influencing parameter according to the present invention;
fig. 3 is a flowchart illustrating the method for obtaining the target health threshold of the new energy vehicle at the current use time according to the present invention; and
fig. 4 is a block diagram illustrating a battery health reminding system of the new energy vehicle according to the invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a flowchart illustrating a battery health reminding method of a new energy vehicle according to the present invention, and as shown in fig. 1, the battery health reminding method of the new energy vehicle includes:
s101, obtaining operation parameters and charging parameters of the new energy automobile related to battery health, wherein the operation parameters comprise the stepping degree condition of an automobile accelerator and the use condition of automobile functional equipment, and the charging parameters comprise the charging times, the charging power and the working mode of the automobile during charging; the automobile accelerator pedaling degree is mainly obtained through an accelerator sensor, and mainly shows the pedaling degree, such as 20% of pedaling, 30% of pedaling and the like, the automobile function equipment usage can be the usage of an air conditioner, the usage of playing equipment and the like, the more the equipment is used, the higher the power is, the larger the loss of a battery of an automobile is, the more the charging times are, the larger the battery loss is, the working mode of the automobile can be switched off to wait for the charging mode or switched on to be in the audio-visual playing mode during charging, and the different modes have different losses of the battery.
S102, based on the first battery health assessment model, first influence parameters which show the battery health influence degree and correspond to the current operation parameters and first sub-influence degree parameters which correspond to the first influence parameters are determined. The first battery health assessment model is used for assessing a first influence parameter, and because of the variety of the operation parameters, the influence degree of each operation parameter jointly forms a first sub-influence degree parameter, and the first sub-influence degree parameter mainly reflects the influence degree of each operation parameter.
And S103, determining second influence parameters which show the influence degree of the battery health and correspond to the current charging parameters and second sub-influence degree parameters which correspond to the second influence parameters based on the second battery health evaluation model. The second battery health assessment model and the first health assessment model are used for assessing the health degree of the battery, and the influence parameters of the second battery health assessment model and the first health assessment model are different.
And S104, acquiring the estimated battery health degree of the new energy automobile under the influence of the first influence parameter and the second influence parameter.
And S105, acquiring a target health degree threshold value of the new energy automobile in the current service time, controlling the new energy automobile to send a battery excessive loss prompt when the estimated battery health degree is smaller than the target health degree threshold value, and comparing and displaying a higher one of the first sub-influence degree parameters and a higher one of the second sub-influence degree parameters. One of the higher ones of the above shows indicates the most bad or major cause of the battery, which is convenient for the user to find out the problem and further realize the protection of the battery.
Preferably, the obtaining method of the first battery health assessment model in S102 may include:
establishing an untrained first battery health assessment model, wherein the input of the first battery health assessment model is an operation parameter, and the output of the first battery health assessment model is a first influence parameter and a first sub-influence degree parameter corresponding to the first influence parameter;
acquiring historical data of the operation parameters, the first influence parameters and the corresponding first sub-influence degree parameters; and
training based on the historical data to obtain the trained first battery health assessment model.
In S103, the second battery health assessment model is established in the same manner as the first battery health assessment model, and details are not repeated here.
Preferably, as shown in fig. 2, the obtaining of the estimated battery health of the new energy vehicle under the influence of the first influence parameter and the second influence parameter at S104 includes:
s201, acquiring current model information of an automobile;
s202, determining current battery health degree weights corresponding to the first influence parameter and the second influence parameter of the current vehicle type information according to a weight corresponding relation between preset vehicle type information and battery health degree weights; and
s203, calculating the estimated battery health degree of the new energy automobile based on the current battery health degree weight, the first influence parameter and the second influence parameter.
Preferably, the calculating the estimated battery health SoH of the new energy automobile based on the current battery health weights a and b, the first influence parameter p and the second influence parameter q includes:
calculating the estimated battery health degree SoH of the new energy automobile through the following formula:
SoH＝a*p+b*q。
for example, if the weight a of the battery health degree is 4 and the weight b is 6, the second influence parameter q is the one having a higher influence on the model of the vehicle, and if the second influence parameter q is the one having a larger influence on the estimated battery health degree SoH, the larger the parameter change is, the larger the influence on the battery health degree is.
Preferably, fig. 3 is a flowchart of the method for acquiring the target health threshold of the new energy vehicle at the current use time, as shown in fig. 3, where the S105 may include:
s301, acquiring a curve corresponding relation between vehicle type information and a health threshold curve by a cluster platform, wherein the health threshold curve is configured as a correlation curve of variable use time and a target health degree threshold;
s302, determining a current health threshold curve corresponding to the current vehicle type information based on the curve corresponding relation; and
and S303, determining a target health threshold corresponding to the current use time based on the current health threshold curve.
Preferably, the method for reminding the battery health of the new energy automobile further comprises the following steps:
obtaining the change rate of the current estimated battery health degree and the last estimated battery health degree; and
and when the change rate is greater than a preset change threshold value, controlling the new energy automobile to send out a battery use abnormity prompt.
In addition, the invention further provides a battery health reminding system of the new energy automobile, as shown in fig. 4, the battery health reminding system of the new energy automobile may include:
the device comprises a parameter acquisition unit, a charging unit and a control unit, wherein the parameter acquisition unit is used for acquiring operating parameters and charging parameters of the new energy automobile related to battery health, the operating parameters comprise the stepping degree condition of an automobile accelerator and the service condition of automobile functional equipment, and the charging parameters comprise the charging times, the charging power and the working mode of the automobile during charging;
the first parameter determination unit is used for determining a first influence parameter which shows the influence degree of the battery health and corresponds to the current operation parameter and a first sub-influence degree parameter which corresponds to the first influence parameter on the basis of the first battery health evaluation model;
the second parameter determining unit is used for determining a second influence parameter which shows the influence degree of the battery health and corresponds to the current charging parameter and a second sub-influence degree parameter which corresponds to the current charging parameter based on a second battery health evaluation model;
the health degree obtaining unit is used for obtaining the estimated battery health degree of the new energy automobile under the influence of the first influence parameter and the second influence parameter; and
and the reminding display unit is used for acquiring a target health degree threshold value of the new energy automobile at the current service time, controlling the new energy automobile to send a battery excessive loss reminding when the estimated battery health degree is smaller than the target health degree threshold value, and comparing and displaying a higher one of the first sub-influence degree parameters and a higher one of the second sub-influence degree parameters.
Preferably, the first parameter determination unit includes:
the model establishing module is used for establishing an untrained first battery health assessment model, wherein the input of the first battery health assessment model is an operation parameter, and the output of the first battery health assessment model is a first influence parameter and a first sub-influence degree parameter corresponding to the first influence parameter;
the data acquisition module is used for acquiring historical data of the operation parameters, the first influence parameters and the corresponding first sub-influence degree parameters; and
and the model acquisition module is used for training based on the historical data to obtain the trained first battery health assessment model.
In addition, the invention also provides a machine-readable storage medium, wherein the machine-readable storage medium stores instructions for causing a machine to execute the method for reminding the battery health of the new energy automobile.
In addition, the present invention also provides a processor for executing a program, wherein the program is executed to perform: the method for reminding the battery health of the new energy automobile is described above.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that 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 the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. The battery health reminding method of the new energy automobile is characterized by comprising the following steps:
acquiring operation parameters and charging parameters of the new energy automobile related to battery health, wherein the operation parameters comprise the automobile accelerator treading degree condition and the automobile function equipment using condition, and the charging parameters comprise the charging times, the charging power and the automobile working mode during charging;
based on the first battery health assessment model, determining a first influence parameter which shows the battery health influence degree and corresponds to the current operation parameter and a first sub-influence degree parameter which corresponds to the first influence parameter;
determining a second influence parameter which shows the influence degree of the battery health and corresponds to the current charging parameter and a second sub-influence degree parameter which corresponds to the current charging parameter based on a second battery health evaluation model;
acquiring estimated battery health of the new energy automobile under the influence of the first influence parameter and the second influence parameter; and
and acquiring a target health degree threshold value of the new energy automobile at the current service time, controlling the new energy automobile to send a prompt of excessive battery loss when the estimated battery health degree is smaller than the target health degree threshold value, and comparing and displaying a higher one of the first sub-influence degree parameters and a higher one of the second sub-influence degree parameters.
2. The method for reminding battery health of a new energy automobile according to claim 1, wherein the method for obtaining the first battery health assessment model comprises:
establishing an untrained first battery health assessment model, wherein the input of the first battery health assessment model is an operation parameter, and the output of the first battery health assessment model is a first influence parameter and a first sub-influence degree parameter corresponding to the first influence parameter;
acquiring historical data of the operation parameters, the first influence parameters and the corresponding first sub-influence degree parameters; and
training based on the historical data to obtain the trained first battery health assessment model.
3. The method for reminding battery health of a new energy automobile according to claim 1, wherein the obtaining the estimated battery health of the new energy automobile under the influence of the first influence parameter and the second influence parameter comprises:
acquiring current vehicle type information of a vehicle;
determining current battery health degree weights corresponding to the first influence parameter and the second influence parameter of the current vehicle type information according to a weight corresponding relation between preset vehicle type information and battery health degree weights; and
and calculating the estimated battery health degree of the new energy automobile based on the current battery health degree weight, the first influence parameter and the second influence parameter.
4. The method for reminding battery health of a new energy automobile according to claim 3, wherein the calculating the estimated battery health SoH of the new energy automobile based on the current battery health weights a and b, the first influence parameter p and the second influence parameter q comprises:
calculating the estimated battery health degree SoH of the new energy automobile through the following formula:
SoH＝a*p+b*q。
5. the method for reminding the battery health of the new energy automobile according to claim 3, wherein the obtaining of the target health threshold of the new energy automobile at the current use time comprises:
the method comprises the steps that a cloud platform obtains curve corresponding relations of vehicle type information and a health threshold curve, wherein the health threshold curve is configured to be an association curve of variable use time and a target health degree threshold;
determining a current health threshold curve corresponding to the current vehicle type information based on the curve corresponding relation; and
and determining a target health threshold corresponding to the current use time based on the current health threshold curve.
6. The method for reminding battery health of a new energy automobile according to claim 1, wherein the method for reminding battery health of a new energy automobile further comprises:
obtaining the change rate of the current estimated battery health degree and the last estimated battery health degree; and
and when the change rate is greater than a preset change threshold value, controlling the new energy automobile to send out a battery use abnormity prompt.
7. The utility model provides a battery health of new energy automobile reminds system which characterized in that, the battery health of new energy automobile reminds system includes:
the device comprises a parameter acquisition unit, a charging unit and a control unit, wherein the parameter acquisition unit is used for acquiring operating parameters and charging parameters of the new energy automobile related to battery health, the operating parameters comprise the stepping degree condition of an automobile accelerator and the service condition of automobile functional equipment, and the charging parameters comprise the charging times, the charging power and the working mode of the automobile during charging;
the first parameter determination unit is used for determining a first influence parameter which shows the influence degree of the battery health and corresponds to the current operation parameter and a first sub-influence degree parameter which corresponds to the first influence parameter on the basis of the first battery health evaluation model;
the second parameter determining unit is used for determining a second influence parameter which shows the influence degree of the battery health and corresponds to the current charging parameter and a second sub-influence degree parameter which corresponds to the current charging parameter based on a second battery health evaluation model;
the health degree obtaining unit is used for obtaining the estimated battery health degree of the new energy automobile under the influence of the first influence parameter and the second influence parameter; and
and the reminding display unit is used for acquiring a target health degree threshold value of the new energy automobile at the current service time, controlling the new energy automobile to send a battery excessive loss reminding when the estimated battery health degree is smaller than the target health degree threshold value, and comparing and displaying a higher one of the first sub-influence degree parameters and a higher one of the second sub-influence degree parameters.
8. The system of claim 7, wherein the first parameter determination unit comprises:
the model establishing module is used for establishing an untrained first battery health assessment model, wherein the input of the first battery health assessment model is an operation parameter, and the output of the first battery health assessment model is a first influence parameter and a first sub-influence degree parameter corresponding to the first influence parameter;
the data acquisition module is used for acquiring historical data of the operation parameters, the first influence parameters and the corresponding first sub-influence degree parameters; and
and the model acquisition module is used for training based on the historical data to obtain the trained first battery health assessment model.
9. A machine-readable storage medium having instructions stored thereon, wherein the instructions are configured to cause a machine to perform the method for reminding battery health of a new energy vehicle according to any one of claims 1 to 6.
10. A processor configured to execute a program, wherein the program is configured to perform: the method for reminding the battery health of the new energy automobile according to any one of claims 1 to 6.
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Application publication date: 20210827 Assignee: ANHUI BEST SERVICE INFORMATION TECHNOLOGY Co.,Ltd. Assignor: ANHUI INSTITUTE OF INFORMATION TECHNOLOGY Contract record no.: X2024980007678 Denomination of invention: A battery health reminder method and system for new energy vehicles Granted publication date: 20231103 License type: Common License Record date: 20240626 |