CN116522278A - Method for determining performance index of power battery and electronic device - Google Patents

Method for determining performance index of power battery and electronic device Download PDF

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Publication number
CN116522278A
CN116522278A CN202310466679.2A CN202310466679A CN116522278A CN 116522278 A CN116522278 A CN 116522278A CN 202310466679 A CN202310466679 A CN 202310466679A CN 116522278 A CN116522278 A CN 116522278A
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vehicle
power battery
performance
target
data
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霍云龙
杨钫
牛超凡
王燕
刘建康
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FAW Group Corp
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FAW Group Corp
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/254—Fusion techniques of classification results, e.g. of results related to same input data
    • G06F18/256—Fusion techniques of classification results, e.g. of results related to same input data of results relating to different input data, e.g. multimodal recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
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    • G06F16/2315—Optimistic concurrency control
    • G06F16/2322—Optimistic concurrency control using timestamps
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/10—Pre-processing; Data cleansing
    • G06F18/15—Statistical pre-processing, e.g. techniques for normalisation or restoring missing data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
    • G06F3/0488—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
    • 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
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

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Abstract

The invention discloses a method for determining performance indexes of a power battery and an electronic device. Wherein the method comprises the following steps: acquiring target data, wherein the target data is running data of continuous data frames in the pre-acquired vehicle total data; dividing the target data according to a plurality of dividing rules to obtain a plurality of dividing results, wherein the dividing rules correspond to a plurality of performance indexes of the power battery; and calculating target index values corresponding to the performance indexes based on the segmentation results. The invention solves the technical problems that the method for determining the performance index of the power battery provided by the related technology is poor in reliability and difficult to meet the requirements of users.

Description

Method for determining performance index of power battery and electronic device
Technical Field
The invention relates to the field of electric automobiles, in particular to a method for determining performance indexes of a power battery and an electronic device.
Background
The power battery is a core assembly of the electric automobile, and the performance of the power battery directly influences the basic performance of the electric automobile. Currently, when designing the performance of a power battery, one or more vehicle data are generally calculated to obtain a performance parameter required by the power battery, specifically, for example, the actual capacity of the power battery of the vehicle is multiplied by the average operating voltage thereof to obtain the actual energy of the power battery of the vehicle.
However, for certain performance parameters (such as continuous charging power) of the power battery, the prior art generally roughly determines the certain performance parameters based on the existing production and use experience of the electric vehicle, and ignores design details of the certain performance parameters, so that the reliability of the certain performance parameters of the power battery is poor and cannot meet the requirements of users.
Aiming at the problems that the reliability of the method for determining the performance index of the power battery is poor and the user demand is difficult to meet, no effective solution is proposed at present.
Disclosure of Invention
The embodiment of the invention provides a method for determining a performance index of a power battery and an electronic device, which are used for at least solving the technical problems that the method for determining the performance index of the power battery provided by the related technology is poor in reliability and difficult to meet the requirements of users.
According to an aspect of an embodiment of the present invention, there is provided a method for determining a performance index of a power battery, including:
acquiring target data, wherein the target data is running data of continuous data frames in the pre-acquired vehicle total data; dividing the target data according to a plurality of dividing rules to obtain a plurality of dividing results, wherein the dividing rules correspond to a plurality of performance indexes of the power battery; and calculating target index values corresponding to the performance indexes based on the segmentation results.
Optionally, the plurality of segmentation rules include a first segmentation rule, the first segmentation rule corresponds to continuous charging power in the plurality of performance indexes, and the segmenting the target data according to the plurality of segmentation rules, to obtain a plurality of segmentation results includes: and segmenting the target data according to a first segmentation rule to obtain a first segmentation result in a plurality of segmentation results, wherein the first segmentation result comprises a plurality of first driving segments, and the vehicle continuously decelerates and drives in each first driving segment.
Optionally, calculating the target index values corresponding to the performance indexes based on the segmentation results includes: classifying the first driving fragments according to the duration time of each first driving fragment in the first classification result to obtain a first classification result, wherein a plurality of first categories in the first classification result correspond to a plurality of preset time levels; and calculating by using the first classification result to obtain a plurality of first index values corresponding to the continuous charging power of the power battery, wherein the plurality of first index values correspond to a plurality of first categories of the first classification result.
Optionally, calculating by using the first classification result, obtaining a plurality of first index values corresponding to the continuous charging power of the power battery includes: determining first speed information and deceleration information to be used by using fragment data of a first driving fragment contained in each of a plurality of first categories of the first classification result, wherein the fragment data comprises: starting vehicle speed, average vehicle speed, peak deceleration and average deceleration; and calculating based on the first speed information, the deceleration information and the mass information of the target vehicle to obtain a plurality of first index values, wherein the target vehicle is a vehicle equipped with a power battery.
Optionally, the plurality of slicing rules include a second slicing rule, the second slicing rule corresponds to continuous discharge power in the plurality of performance indexes, slicing the target data according to the plurality of slicing rules, and obtaining a plurality of slicing results includes: and cutting the target data according to a second cutting rule to obtain a second cutting result in a plurality of cutting results, wherein the second cutting result comprises a plurality of second driving fragments, and the average speed of the vehicle in each second driving fragment is higher than a preset threshold value.
Optionally, calculating, based on the multiple segmentation results, a target index value corresponding to the multiple performance indexes includes: classifying the plurality of second driving fragments according to the duration time of each second driving fragment in the second segmentation result to obtain a second classification result, wherein a plurality of second categories in the second classification result correspond to a plurality of preset time levels; and calculating by using the second classification result to obtain a plurality of second index values corresponding to the continuous discharge power of the power battery, wherein the plurality of second index values correspond to a plurality of second classes of the second classification result.
Optionally, calculating by using the second classification result, obtaining a plurality of second index values corresponding to the continuous discharge power of the power battery includes: screening second driving fragments contained in each of a plurality of second categories of the second classification result based on a screening rule to obtain a screening result, wherein the screening rule is determined by the peak vehicle speed of the second driving fragments and a preset deviation threshold; determining second speed information to be used by using the peak speed of the second driving segment contained in each second category or the peak speed of the second driving segment contained in the screening result corresponding to each second category; and calculating based on the second speed information, the mass information of the target vehicle and the size information of the target vehicle to obtain a plurality of second index values, wherein the target vehicle is a vehicle equipped with a power battery.
Optionally, the performance index determining method further includes: updating the target data according to a preset time period to obtain updated target data; and determining updated target index values corresponding to the plurality of performance indexes based on the updated target data.
Optionally, providing a graphical user interface through the terminal device, where the content displayed by the graphical user interface at least partially includes a performance index design scenario of the power battery, and the performance index determining method further includes: responding to a first touch operation acted on a graphical user interface, and acquiring vehicle information of a vehicle to be developed provided with a power battery; responding to a second touch operation acting on the graphical user interface, and based on vehicle information, matching the target index values corresponding to the performance indexes to obtain the design index values to be calibrated corresponding to the vehicles to be developed.
According to another aspect of the embodiment of the present invention, there is provided a device for determining a performance index of a power battery, including:
the acquisition module is used for acquiring target data, wherein the target data is running data of continuous data frames in the pre-acquired vehicle total data; the system comprises a segmentation module, a segmentation module and a data processing module, wherein the segmentation module is used for segmenting target data according to a plurality of segmentation rules to obtain a plurality of segmentation results, and the plurality of segmentation rules correspond to a plurality of performance indexes of the power battery; and the calculation module is used for calculating and obtaining target index values corresponding to the performance indexes based on the segmentation results.
Optionally, the above segmentation module is further configured to: the plurality of segmentation rules comprise a first segmentation rule, the first segmentation rule corresponds to continuous charging power in the plurality of performance indexes, the target data is segmented according to the plurality of segmentation rules, and the obtaining of the plurality of segmentation results comprises: and segmenting the target data according to a first segmentation rule to obtain a first segmentation result in a plurality of segmentation results, wherein the first segmentation result comprises a plurality of first driving segments, and the vehicle continuously decelerates and drives in each first driving segment.
Optionally, the above calculation module is further configured to: the calculating the target index values corresponding to the performance indexes based on the segmentation results comprises the following steps: classifying the first driving fragments according to the duration time of each first driving fragment in the first classification result to obtain a first classification result, wherein a plurality of first categories in the first classification result correspond to a plurality of preset time levels; and calculating by using the first classification result to obtain a plurality of first index values corresponding to the continuous charging power of the power battery, wherein the plurality of first index values correspond to a plurality of first categories of the first classification result.
Optionally, the above calculation module is further configured to: calculating by using the first classification result, obtaining a plurality of first index values corresponding to the continuous charging power of the power battery includes: determining first speed information and deceleration information to be used by using fragment data of a first driving fragment contained in each of a plurality of first categories of the first classification result, wherein the fragment data comprises: starting vehicle speed, average vehicle speed, peak deceleration and average deceleration; and calculating based on the first speed information, the deceleration information and the mass information of the target vehicle to obtain a plurality of first index values, wherein the target vehicle is a vehicle equipped with a power battery.
Optionally, the above segmentation module is further configured to: the plurality of segmentation rules comprise a second segmentation rule, the second segmentation rule corresponds to continuous discharge power in the plurality of performance indexes, the target data is segmented according to the plurality of segmentation rules, and the obtaining of the plurality of segmentation results comprises: and cutting the target data according to a second cutting rule to obtain a second cutting result in a plurality of cutting results, wherein the second cutting result comprises a plurality of second driving fragments, and the average speed of the vehicle in each second driving fragment is higher than a preset threshold value.
Optionally, the above calculation module is further configured to: calculating a target index value corresponding to the performance indexes based on the segmentation results, wherein the target index value comprises: classifying the plurality of second driving fragments according to the duration time of each second driving fragment in the second segmentation result to obtain a second classification result, wherein a plurality of second categories in the second classification result correspond to a plurality of preset time levels; and calculating by using the second classification result to obtain a plurality of second index values corresponding to the continuous discharge power of the power battery, wherein the plurality of second index values correspond to a plurality of second classes of the second classification result.
Optionally, the above calculation module is further configured to: calculating by using the second classification result, obtaining a plurality of second index values corresponding to the continuous discharge power of the power battery comprises the following steps: screening second driving fragments contained in each of a plurality of second categories of the second classification result based on a screening rule to obtain a screening result, wherein the screening rule is determined by the peak vehicle speed of the second driving fragments and a preset deviation threshold; determining second speed information to be used by using the peak speed of the second driving segment contained in each second category or the peak speed of the second driving segment contained in the screening result corresponding to each second category; and calculating based on the second speed information, the mass information of the target vehicle and the size information of the target vehicle to obtain a plurality of second index values, wherein the target vehicle is a vehicle equipped with a power battery.
Optionally, the method for determining the performance index of the power battery further includes: the updating module is used for updating the target data according to a preset time period to obtain updated target data; and determining updated target index values corresponding to the plurality of performance indexes based on the updated target data.
Optionally, a graphical user interface is provided through the terminal device, and the content displayed by the graphical user interface at least partially includes a performance index design scenario of the power battery, and the method for determining the performance index of the power battery further includes: the matching module is used for responding to a first touch operation acted on the graphical user interface and acquiring vehicle information of a vehicle to be developed provided with the power battery; responding to a second touch operation acting on the graphical user interface, and based on vehicle information, matching the target index values corresponding to the performance indexes to obtain the design index values to be calibrated corresponding to the vehicles to be developed.
According to still another aspect of the embodiment of the present invention, there is also provided an electronic apparatus including: comprising a memory in which a computer program is stored, and a processor arranged to run the computer program to perform the method of determining the performance index of the power cell of any one of the preceding claims.
In the embodiment of the invention, the target data is firstly obtained, wherein the target data is the running data of continuous data frames in the pre-collected vehicle total data, then the target data is segmented according to a plurality of segmentation rules to obtain a plurality of segmentation results, the plurality of segmentation rules correspond to a plurality of performance indexes of the power battery, finally the target index values corresponding to the plurality of performance indexes are obtained by calculation based on the plurality of segmentation results, and the plurality of performance indexes of the power battery are determined by segmenting the obtained target data and calculating the obtained plurality of segmentation results, so that the purpose of determining the plurality of performance indexes of the power battery in detail and accurately is achieved, the technical effects of improving the accuracy and reliability of the performance indexes of the power battery and meeting the requirements of users are achieved, and the technical problems that the reliability of the determination method of the performance indexes of the power battery provided by related technologies is poor and the technical problems that the requirements of users are difficult to meet are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding 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 invention and do not constitute a limitation on the invention. In the drawings:
fig. 1 is a block diagram of a vehicle terminal according to an alternative method of determining a performance index of a power battery according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method of determining performance metrics of a power cell according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an alternative power cell performance index determination system in accordance with an embodiment of the present invention;
FIG. 4 is a block diagram of an alternative power cell performance index determination device according to an embodiment of the present invention;
FIG. 5 is a block diagram of an alternative power cell performance index determination device according to an embodiment of the present invention;
fig. 6 is a block diagram of a determination device of performance index of a further alternative power battery according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present invention, there is provided a method embodiment of a method for determining a performance index of a power battery, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different from that herein.
Fig. 1 is a block diagram of a vehicle terminal according to an alternative method of determining a performance index of a power battery according to an embodiment of the present invention, as shown in fig. 1, a vehicle terminal 10 (or a mobile device 10 associated with a vehicle having communication) may include one or more processors 102 (the processors 102 may include, but are not limited to, a processing means such as a microprocessor (Microcontroller Unit, MCU) or a programmable logic device (Field Programmable Gate Array, FPGA)), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, the method may further include: display device 110, input/output device 108 (i.e., I/O device), universal serial bus (Universal Serial Bus, USB) port (which may be included as one of the ports of a computer bus, not shown), network interface (not shown), power supply (not shown), and/or camera (not shown). It will be appreciated by those skilled in the art that the configuration shown in fig. 1 is merely illustrative and is not intended to limit the configuration of the vehicle terminal 1 described above. For example, the vehicle terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
It should be noted that the one or more processors 102 and/or other data processing circuits described above may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuitry may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the vehicle terminal 10 (or mobile device).
The memory 104 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the method for determining the performance index of the power battery in the embodiment of the present invention, and the processor 102 executes the software programs and modules stored in the memory 104 to perform various functional applications and data processing, that is, implement the method for determining the performance index of the power battery. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the vehicle terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used to receive or transmit data via a network. The specific examples of the network described above may include a wireless network provided by a communication provider of the vehicle terminal 10. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module for communicating with the internet wirelessly.
In the above-mentioned operating environment, the embodiment of the present invention provides a method for determining a performance index of a power battery as shown in fig. 2, fig. 2 is a flowchart of a method for determining a performance index of a power battery according to an embodiment of the present invention, and as shown in fig. 2, the embodiment shown in fig. 2 may at least include implementation steps, that is, may be a technical solution implemented in steps S21 to S23.
Step S21, acquiring target data, wherein the target data is running data of continuous data frames in the pre-acquired vehicle total data;
in an alternative provided in the step S21, the target data is used to determine a vehicle running parameter (such as an acceleration parameter and a vehicle speed parameter) related to a performance index of a vehicle power battery. The vehicle volume data may include, but is not limited to: basic data of a vehicle (such as an engine number, a frame number, a software and hardware version number, a vehicle type and a brand), working conditions of the vehicle and operation data (such as acceleration, deceleration, idle running, sliding, braking, starting, reversing, real-time electric quantity and real-time oil quantity), sensing decision control data (such as light control, wiper control, longitudinal braking and longitudinal acceleration), and network connection terminal software data (such as software version and operation state of terminal equipment such as Bluetooth).
In an alternative provided in the step S21, the driving data may be used to characterize the driving state of the vehicle, where the driving data may include, but is not limited to: travel time, vehicle speed, acceleration. The running data of the continuous data frame may refer to a set of running data of each running time of the vehicle for a period of running time.
In the alternative scheme provided by the invention, as an alternative implementation mode, based on a vehicle data recorder of a vehicle, a running image in a certain running time is selected, and running data of continuous data frames are extracted from the running image in the running time; as another optional implementation manner, a target driving time period of the vehicle is selected, and driving data uploaded by a vehicle end device (such as an intelligent vehicle-mounted terminal T-BOX in a vehicle networking system) in the target driving time period is obtained based on a vehicle manufacturing enterprise or a national big data monitoring platform which is in data communication with the vehicle.
Step S22, segmenting the target data according to a plurality of segmentation rules to obtain a plurality of segmentation results, wherein the plurality of segmentation rules correspond to a plurality of performance indexes of the power battery;
in an alternative provided in the step S22, each of the plurality of slicing rules may be used to perform different types of slicing on the target, specifically, for example, the plurality of slicing rules includes a first slicing rule and a second slicing rule, the first slicing rule may be used to perform power battery continuous charging power classification on the target data, the second slicing rule may be used to perform power battery continuous discharging power classification on the target data, further, the plurality of slicing results may include a first slicing result and a second slicing result, the first slicing result may be a classification result of performing power battery continuous charging power classification on the target data, and the second slicing result may be a classification result of performing power battery continuous discharging power classification on the target data. Here, it should be noted that the above-mentioned plurality of segmentation rules may be preset by a technician and stored in a storage device of the vehicle.
In an alternative provided in the step S22, the performance indexes may be used to evaluate the performance of the vehicle power battery, where the performance indexes may include, but are not limited to: continuous charging power, continuous discharging power.
In the alternative scheme provided by the invention, the target data is segmented according to a plurality of segmentation rules to obtain a plurality of segmentation results, and the specific method can be as follows: after the target data is obtained, one or more segmentation rules are obtained from the storage device of the vehicle, the one or more segmentation rules are analyzed to obtain corresponding segmentation instructions, the segmentation instructions are executed to complete the segmentation of the target data, one or more segmentation results are obtained, and further the one or more segmentation results are stored in the storage device of the vehicle.
Step S23, calculating a plurality of target index values corresponding to the performance indexes based on the plurality of segmentation results.
In an alternative provided in the step S23, the target index value may be an index value of a plurality of target performance indexes obtained by dividing and calculating the target running data of the continuous data frame in the target running time, where the target index value may be used to evaluate the performance of the vehicle power battery in the target running time.
In the embodiment of the invention, the target data is firstly obtained, wherein the target data is the running data of continuous data frames in the pre-collected vehicle total data, then the target data is segmented according to a plurality of segmentation rules to obtain a plurality of segmentation results, the plurality of segmentation rules correspond to a plurality of performance indexes of the power battery, finally the target index values corresponding to the plurality of performance indexes are obtained by calculation based on the plurality of segmentation results, and the plurality of performance indexes of the power battery are determined by segmenting the obtained target data and calculating the obtained plurality of segmentation results, so that the purpose of determining the plurality of performance indexes of the power battery in detail and accurately is achieved, the technical effects of improving the accuracy and reliability of the performance indexes of the power battery and meeting the requirements of users are achieved, and the technical problems that the reliability of the determination method of the performance indexes of the power battery provided by related technologies is poor and the technical problems that the requirements of users are difficult to meet are solved.
The above-described methods of embodiments of the present invention are further described below.
In an alternative embodiment, in step S22, the plurality of segmentation rules includes a first segmentation rule, where the first segmentation rule corresponds to continuous charging power in the plurality of performance indexes, and the segmenting the target data according to the plurality of segmentation rules includes:
In step S2211, the target data is segmented according to a first segmentation rule, so as to obtain a first segmentation result of the multiple segmentation results, where the first segmentation result includes multiple first driving segments, and the vehicle continuously decelerates and drives in each first driving segment.
In an alternative provided in the step S22, the continuous charging power may be power of the vehicle power battery charged with energy through the energy recovery system during the running of the vehicle. It should be noted that, during the braking process of the vehicle, the vehicle power battery can recover the energy generated by the braking of the vehicle through the energy recovery system, so that the energy of the electric vehicle can be saved.
In an alternative provided in the above step S2211, the first slicing rule may be used to slice the target data into a plurality of deceleration segments, and specifically, for example, the first slicing rule includes: the starting condition of a certain deceleration segment is acceleration a <0, the ending condition of the deceleration segment is acceleration a being equal to or greater than 0, and the segmenting the target data by using the first segmentation rule may include: t1, T2 and T3, and the corresponding duration time of the deceleration segments is respectively as follows: t1, t2, t3.
It should be noted that, the number of segments corresponding to the plurality of deceleration segments is: n1, N2 and N3, the sampling period of the vehicle acceleration signal is marked as T, the number of segments corresponding to the plurality of deceleration segments and the sampling period of the vehicle acceleration signal are calculated, and the duration time corresponding to the plurality of deceleration segments can be obtained as shown in the following formulas (1), (2) and (3):
t1=n1×t formula (1)
t2=n2×t formula (2)
t3=n3×t formula (3)
In the above alternative provided in step S2211, further, the plurality of deceleration segments are screened according to a preset screening rule to obtain a plurality of continuous deceleration segments (i.e., the first driving segment). As an alternative implementation manner, the preset screening rule is that the duration of the deceleration segment satisfies t >10s, and the duration t1 (e.g. 23 s), t2 (e.g. 5 s) and t3 (e.g. 11 s) are screened based on the preset screening rule, so as to obtain a plurality of first driving segments (including t1 and t 3).
In the alternative scheme provided by the invention, the collected vehicle full data is preprocessed before the target data is segmented, and the preprocessing process can include but is not limited to: deleting abnormal data, adding or supplementing missing data, further selecting running data of continuous data frames from the preprocessed vehicle total data as target data, and further cutting the target data according to a first cutting rule to obtain a first cutting result comprising a plurality of first running segments.
In the above alternative embodiments, the following technical effects may be achieved: before the target data is segmented, preprocessing is carried out on the collected vehicle full data, so that the accuracy of the target data can be improved, and the accuracy of a first segmentation result can be improved; and segmenting and screening the target data according to a first segmentation rule and a preset screening rule, so as to obtain a first driving fragment meeting the requirement of a user.
In an alternative embodiment, in step S23, calculating the target index values corresponding to the performance indexes based on the segmentation results includes:
step S2311, classifying the first driving fragments according to the duration of each first driving fragment in the first classification result to obtain a first classification result, wherein the first classification result corresponds to a plurality of preset time levels;
step S2312, calculating by using the first classification result to obtain a plurality of first index values corresponding to the continuous charging power of the power battery, where the plurality of first index values correspond to a plurality of first categories of the first classification result.
In an alternative provided in the foregoing steps S2311 to S2312, the preset time level may be a time condition corresponding to the duration t of the first driving section preset by a technician, and specifically, for example, the plurality of preset time levels may include: as an alternative embodiment, the first categories may be denoted as class i (t e 10s,15 s), class ii (t e 15s,25 s), class iii (t e 25s,35 s), class iv (t >35 s), and as an alternative embodiment, the first categories may be denoted as class 10s (t e 10s,15 s), class 20s (t e 15s,25 s), class 30s (t e 25s,35 s), class long duration (t >35 s), and the first index values may be continuous charging power corresponding to each predetermined time class, and may be used to evaluate the charging performance of the power battery.
In an alternative embodiment, in step S2312, calculating using the first classification result to obtain a plurality of first index values corresponding to continuous charging power of the power battery includes:
step S23121, determining first speed information and deceleration information to be used by using fragment data of a first driving fragment included in each of a plurality of first categories of the first classification result, wherein the fragment data includes: starting vehicle speed, average vehicle speed, peak deceleration and average deceleration;
in step S23122, a plurality of first index values are calculated based on the first speed information, the deceleration information, and the mass information of the target vehicle, which is a power battery-equipped vehicle.
In an alternative provided in the foregoing steps S23121 to S23122, the first speed information may be a vehicle speed parameter corresponding to each preset time level, and similarly, the deceleration information may be a deceleration parameter corresponding to each preset time level. It should be noted that, in the alternative solution provided by the present invention, the segment data may further include: the initial vehicle speed, the peak deceleration, the final vehicle speed, the duration and the ambient temperature at the initial time can be directly extracted from the target data, and the average vehicle speed and the average deceleration can be respectively obtained by calculating the corresponding fragment data.
In an alternative provided in the foregoing steps S23121 to S23122, the quality information of the target vehicle may be quality of the target vehicle when the target vehicle is completely equipped according to a factory technical condition. Here, it is also noted that, in general, the higher the model level of the target vehicle, the greater the quality of its preparation, in addition to the sports car. In addition, it is also known that the mass information of the target vehicle can be directly read from a factory information record (such as a signboard of a vehicle body) of the target vehicle.
In an alternative provided by the present invention, the duration of the first driving segment is denoted as t, assuming that the plurality of first categories includes: 10s stage (t E [10s,15 s)]) Class 20s (t.epsilon.15 s,25s]) Class 30s (t.epsilon.25 s,35s]) Long duration stage (t)>35 s), the initial vehicle speed is V 1 The average vehicle speed of each first category is respectively marked as V mean1 、V mean2 、V mean3 、V mean4 The peak deceleration for each first category is noted as: amax_d1, amax_d2, amax_d3, amax_d4, the average deceleration of each first class is denoted by amean_d1, amean_d2, amean_d3, amean_d4, respectively, and the above first classification results can be shown in the following table 1:
TABLE 1
In the above table 1, the continuous charging power P of each first category is calculated using the deceleration information, the first speed information, and the mass information of the target vehicle of each first category C Can be represented by the following formula (4):
P C =mxa×v formula (4)
In the alternative scheme provided by the invention, in the table 1, it should also be noted that the 20 s-level first speed information may be a starting vehicle speed V 1 . The occurrence probability may be a probability that the data (such as continuous charging power) of each first category appears in the corresponding data (continuous charging power) of all first categories, and the continuous charging power and the occurrence probability may be presented to a user of the target vehicle through a graphical user interface, so that the user can know in detail the change situation of the continuous charging power of the power battery of the target vehicleAnd (5) distribution conditions.
In the above alternative embodiments, the following technical effects may be achieved: based on the fragment data of each first category and the quality information of the target vehicle, the continuous charging power of the target vehicle power battery corresponding to each first category is calculated, and the accuracy and the reliability of the calculated continuous charging power are improved; in addition, the continuous charging power of each target vehicle power battery corresponding to the first category is presented to the user through the image user interface, so that the user can quickly and accurately know the charging performance of the target vehicle power battery.
In an optional embodiment, in step S22, the plurality of segmentation rules includes a second segmentation rule, where the second segmentation rule corresponds to continuous discharge power in the plurality of performance indexes, and the segmenting the target data according to the plurality of segmentation rules includes:
step S2221, segmenting the target data according to a second segmentation rule, to obtain a second segmentation result of the multiple segmentation results, where the second segmentation result includes multiple second driving segments, and an average speed of the vehicle in each second driving segment is higher than a preset threshold.
In an alternative provided in the step S22, the sustained discharge power may be a power required by a power battery of the vehicle during long-time high-speed driving of the vehicle.
In an alternative provided in the above step S2221, the above second segmentation rule may be used to segment the target data into a plurality of continuous high-speed segments (the above plurality of second driving segments), and specifically, for example, the second segmentation rule includes: average speed V of vehicles in certain continuous high-speed segment h Satisfy V h And more than or equal to 80km/h. The preset threshold may be a threshold (e.g., 80 km/h) of a vehicle running speed preset by a technician according to a running condition of the vehicle.
In the alternative scheme provided by the invention, the collected vehicle full data is preprocessed before the target data is segmented, and the preprocessing process can include but is not limited to: deleting abnormal data, adding or supplementing missing data, further selecting running data of continuous data frames from the preprocessed vehicle total data as target data, and further segmenting the target data according to a second segmentation rule to obtain a second segmentation result comprising a plurality of second running segments.
In the above alternative embodiments, the following technical effects may be achieved: the collected full-volume data of the vehicle is preprocessed before the target data is segmented, so that the accuracy of the target data can be improved, and the accuracy of a second segmentation result can be improved.
In an alternative embodiment, in step S23, calculating, based on the multiple segmentation results, a target index value corresponding to the multiple performance indexes includes:
step S2321, classifying the plurality of second driving fragments according to the duration time of each second driving fragment in the second segmentation result to obtain a second classification result, wherein the plurality of second classes in the second classification result correspond to a plurality of preset time classes;
Step S2322, calculating by using the second classification result to obtain a plurality of second index values corresponding to the continuous discharge power of the power battery, wherein the plurality of second index values correspond to a plurality of second categories of the second classification result.
In an alternative provided in the foregoing steps S2321 to S2322, the foregoing preset time level may be a time condition corresponding to the duration t of the foregoing second driving section preset by a technician, and specifically, for example, the foregoing multiple preset time levels may include: t is less than or equal to 1min, 1min is less than or equal to 5min, 5min is less than or equal to 10min, and t is more than 10min. As an alternative embodiment, the plurality of second categories may be expressed as: level I (t is less than or equal to 1 min), level II (1 min less than or equal to 5 min), level III (5 min less than or equal to 10 min), level IV (t >10 min). As another alternative embodiment, the plurality of first categories may be expressed as: 1min (t is less than or equal to 1 min), 5min (1 min is less than or equal to 5 min), 10min (5 min is less than or equal to 10 min), and long-lasting (t is more than 10 min). The plurality of second index values may be continuous discharge power corresponding to each preset time level, and may be used to evaluate discharge performance of the power battery.
In an alternative embodiment, in step S2322, calculating, using the second classification result, a plurality of second index values corresponding to the sustained discharge power of the power battery includes:
Step S23221, screening second driving fragments contained in each of a plurality of second categories of the second classification result based on a screening rule, so as to obtain a screening result, wherein the screening rule is determined by the peak vehicle speed of the second driving fragments and a preset deviation threshold;
step S23222, determining the second speed information to be used by using the peak speed of the second driving segment included in each second category or the peak speed of the second driving segment included in the screening result corresponding to each second category;
in step S23223, a plurality of second index values are obtained by performing calculation based on the second speed information, the mass information of the target vehicle, and the size information of the target vehicle, wherein the target vehicle is a power battery-equipped vehicle.
In an alternative provided in the foregoing steps S23221 to S23223, the screening rule may be used to further screen the second driving fragment to obtain the target high-speed fragment with higher accuracy (i.e. the screening result), and as an alternative implementation, the screening rule may be: peak vehicle speed V at which target speed segment starts at vehicle running speed max At the moment of travel, the target high-speed segment ends at the vehicle travel speed V x Satisfy V x ≤V offset In (2), V is also described herein offset The deviation threshold value of the running speed of the vehicle (i.e. the preset deviation threshold value) may be preset by a technician according to the user requirement, and the magnitude of the deviation threshold value may be used to characterize the accuracy of screening the second running segment.
In an alternative provided in the foregoing steps S23221 to S23223, the second speed information may be a vehicle speed parameter corresponding to each preset time scale. The size information of the target vehicle may be a windward area of the target vehicle.
In an alternative provided by the present invention, the duration of the second driving segment is denoted as t, assuming that the plurality of second categories includes: 1min (t is less than or equal to 1 min), 5min (1 min)<t is less than or equal to 5 min), 10min (5 min)<t is less than or equal to 10 min), long duration stage (t)>10 min), the second speed information is marked as V, and the peak vehicle speed of each second category is respectively marked as V max1 、V max2 、V max3 、V max4 The second classification result may be as shown in table 2 below:
TABLE 2
In Table 1, the continuous discharge power P of each second category is calculated using the peak vehicle speed, the mass information, the size information, and the gravitational acceleration g, the flow resistance coefficient f, and the windage coefficient Co of each target speed segment F Can be represented by the following formula (5):
in the alternative scheme provided by the invention, it is also required to be noted that if there is no corresponding target high-speed segment within a certain preset time level, the peak vehicle speed of each second driving segment is used as the second speed information to calculate the continuous discharge power P shown in table 2 based on the above formula (5) F 。
In the above alternative embodiments, the following technical effects may be achieved: calculating based on the data such as the peak speed of the second driving segment contained in each second category (or the peak speed of the second driving segment contained in the screening result corresponding to each second category), the mass information of the target vehicle, the size information of the target vehicle and the like, so as to obtain the continuous discharge power of the target vehicle power battery corresponding to each second category, and the accuracy and the reliability of the continuous discharge power obtained by calculation are improved; in addition, the continuous discharging power of the target vehicle power battery corresponding to each second category is presented to the user through the image user interface, so that the user can quickly and accurately know the discharging performance of the target vehicle power battery.
Optionally, the method for determining the performance index of the power battery further includes:
Step S24, updating the target data according to a preset time period to obtain updated target data;
step S25, based on the updated target data, determining updated target index values corresponding to the performance indexes.
In an alternative provided in the foregoing steps S24 to S25, the preset time period may be a period set based on a user requirement (e.g., a time requirement for updating data) to update the corresponding data (e.g., the target data). The target index values may include, but are not limited to: the first index value and the second index value.
In the technical scheme provided by the invention, it is also required to explain that under normal conditions, when the performance design and test are performed on the vehicle power battery, the performance of the power battery obtained by analyzing the test value of the performance index is smaller than the actual performance of the power battery, and because the driving behaviors and driving conditions of different users are different, the target index value of the performance index of the power battery required by the users may be higher than the initial calibration value of the performance index (namely the test value of the performance index), so that the calibration value of the performance index of the vehicle power battery needs to be updated.
In the technical scheme provided by the invention, the target data is updated according to the preset time period to obtain updated target data, and further, the updated target index values corresponding to a plurality of performance indexes are determined based on the updated target data, and the specific method can be as follows: one or more performance parameters of the target vehicle power battery (such as the continuous charging power P corresponding to the above 10s level) are counted in a preset time period (such as one month) C1 Continuous charging power P corresponding to the long continuous stage C4 ) The actual number of times of use of the calibration value of (2) is within the preset time periodWhen the actual usage frequency Q of the calibration value of the performance parameter satisfies q≡g times, it may be considered that the calibration value of the performance parameter cannot satisfy the requirement of the current user, and the calibration value of the performance parameter needs to be updated, for example, the calibration value of the performance parameter is updated to 130% of the original calibration value (recorded as a target calibration value).
In the technical solution provided in the present invention, it should be further noted that the calibration value of the performance parameter needs to be smaller than the limit value of the performance parameter of the power battery, and specifically, as an optional implementation manner, when the calibration value of the performance parameter is updated, and when the original calibration value of the performance parameter is 8 and the limit value is 10, the target calibration value of the performance parameter should be 10, that is, after the calibration value of the performance parameter is updated, the actual calibration value of the performance parameter is 10. As another alternative embodiment, in the case that the calibration value of the performance parameter is updated in the previous preset time period and the updated calibration value is smaller than the limit value, when it is detected that the calibration value of the performance parameter in the next preset time period cannot meet the user requirement, the calibration value of the performance parameter is directly updated to the limit value of the performance parameter. As a further alternative embodiment, in the case where the calibration value of the performance parameter is updated in the previous preset time period and the updated calibration value is the limit value, when it is detected that the calibration value of the performance parameter in the next preset time period cannot meet the user requirement, the calibration value of the performance parameter does not need to be updated.
In the technical scheme provided by the invention, it is also required to explain that the Over-the-Air Technology (OTA) can be utilized to update the target data of the vehicle and the calibration value of the performance index of the power battery, and the Over-the-Air Technology can be used for remotely managing the terminal equipment (such as a vehicle-mounted display screen) of the vehicle through an Air interface of mobile communication.
In the above alternative embodiments, the following technical effects may be achieved: based on a preset time period, whether the index value of the performance index of the power battery meets the user requirement or not is detected regularly, and when the user requirement is not met, the index value of the performance index is updated, so that timeliness of the index value of the performance index is improved, and the requirement of the user on the index value of the performance index of the power battery is met.
Optionally, a graphical user interface is provided through the terminal device, and the content displayed by the graphical user interface at least partially includes a performance index design scenario of the power battery, and the method for determining the performance index of the power battery further includes:
step S26, responding to a first touch operation acted on a graphical user interface, and acquiring vehicle information of a vehicle to be developed provided with a power battery;
Step S27, responding to a second touch operation acting on the graphical user interface, and based on the vehicle information, matching the target index values corresponding to the performance indexes to obtain the design index values to be calibrated corresponding to the vehicle to be developed.
In an alternative provided in the steps S26 to S27, the terminal device may be a vehicle-mounted display screen of a vehicle, and may perform intelligent interaction with a user. The first touch operation may be an acquisition instruction sent by a user through a graphical user interface provided by the terminal device, where the acquisition instruction may be used to acquire vehicle information related to a performance index of the power battery, where the vehicle information may include, but is not limited to: vehicle grade, equipment quality. The second touch operation may be a matching instruction sent by the user through a graphical user interface provided by the terminal device, where the matching instruction may be based on the vehicle information to match an index value (the design index value to be calibrated) of the performance index of the power battery from the vehicle storage device.
In the above alternative embodiments, the following technical effects may be achieved: through the graphical user interface provided by the terminal equipment, the user can interact with the vehicle conveniently, and the user can quickly and accurately acquire the index value of the power battery performance index used for representing the performance of the power battery through simple touch operation (the first touch operation and the second touch operation), so that the user experience is improved.
The technical scheme provided by the invention is further described below with reference to fig. 3.
Fig. 3 is a schematic diagram of an alternative system for determining a performance index of a power battery according to an embodiment of the present invention, where, as shown in fig. 3, the system 300 for determining a performance index of a power battery at least includes: a data computing system 301, a data storage system 302, a data visualization interaction interface 303, a transmission system 304.
As still shown in fig. 3, the data computing system 301 may calculate an index value (e.g., the first index value and the second index value) of the performance index of the power battery based on the technical solution provided in the present invention, and guide the index value of the performance index into the data storage system 302, where it should be further noted that the calculating process of the data computing system 301 may at least include: data preprocessing (such as adding, deleting and modifying the vehicle full-size data), data segmentation (such as segmenting the target data according to the first segmentation rule), and data screening (such as screening the second driving fragment according to the screening rule).
As also shown in fig. 3, the data storage system 302 may perform data storage by using a distributed storage method, where the distributed storage method can quickly perform read cache and write cache, and the distributed storage method can support automatic hierarchical storage, specifically, for example, the data storage system 302 can directly map data (such as the segment data and the occurrence probability) in the hot spot area into high-speed storage, so that the response speed of the computing system 300 of the performance index of the power battery can be improved. In addition, the distributed storage method can adopt a multi-copy backup mechanism (such as mirror image, stripe, distributed verification and other backup modes), thereby meeting the working requirements of vehicle manufacturers and realizing the elastic expansion of the storage area.
Still referring to fig. 3, based on the above technical solution provided by the present invention, the data storage system 302 may be divided into the following 3 layers: a data detail (Data Warehouse Details, DWD) layer that can be used to store the vehicle volume data; a data middle (Data Warehouse Middle, DWM) layer for storing the fragment data and the occurrence probability; a data services (Data Warehouse Service, DWS) layer may be used to store the continuous charge power, the continuous discharge power. It should be noted that, when inputting vehicle full-volume data of different vehicle types, the storage locations of the vehicle data (including at least vehicle full-volume data, segment data, continuous charging power, continuous discharging power) may be categorized, specifically, for example, the vehicle level includes: class a, class B, class C, whereby vehicle data for class a vehicles may be stored in a class a vehicle database of data storage system 302, vehicle data for class B vehicles may be stored in a class B vehicle database of data storage system 302, and vehicle data for class C vehicles may be stored in a class C vehicle database of data storage system 302.
As still shown in fig. 3, the data visual interaction interface 303 may be constructed by a development tool (such as Java, qt) for visual interaction, and a user may input vehicle data such as a vehicle level, a quality of service, etc. through the data visual interaction interface 303, so that the data visual interaction interface 303 may match and display values of vehicle data and performance indexes related to performance of the vehicle power battery based on the vehicle data, and a vehicle manufacturer may be able to refer to a calibration value of the performance index of the power battery based on the reference value. Specifically, for example, the user inputs vehicle data of the class a vehicle, and the data visualization interface 303 presents vehicle data related to the performance of the power battery of the class a vehicle (such as ambient temperature) and the numerical values of performance indicators (such as continuous charging power, continuous discharging power, and occurrence probability).
As still shown in fig. 3, the transmission system 304 may implement data communication between the terminal device of the vehicle and the OTA, so that the full-capacity data of the vehicle can be obtained through big data, and the index value of the performance index of the vehicle power battery calculated by the data calculation system 301 may use the obtained index value of the performance index of the power battery as the initial calibration value of the performance index of the vehicle power battery through the OTA technology. In addition, the transmission system 304 may also obtain a limit value of the performance index of the vehicle power battery, and transmit an updated calibration value of the performance index of the vehicle power battery.
It can be understood that the technical scheme provided by the invention can achieve the following technical effects:
(1) Preprocessing the acquired vehicle total data, so that the accuracy and the reliability of target data can be improved, and the accuracy and the reliability of the target index value of the calculated performance index can be improved;
(2) Based on the segmentation rules and the screening rules, the target data are segmented and screened in detail, so that the accuracy of the segmentation result and the screening result can be improved, and the accuracy of the target index value of the performance index is further improved;
(3) Through intelligent interaction between the graphical user interface and the user, the user's demand can be quickly known, vehicle data meeting the user's demand can be displayed, and the user can quickly and accurately know the performance of the vehicle power battery.
In this embodiment, a device for determining a performance index of a power battery is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, and the description is omitted herein. As used below, a combination of software and/or hardware that belongs to a "module" may implement a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Fig. 4 is a block diagram of an alternative power cell performance index determining apparatus according to an embodiment of the present invention, as shown in fig. 4, including:
an acquisition module 401, configured to acquire target data, where the target data is running data of continuous data frames in pre-acquired vehicle total data;
the segmentation module 402 is configured to segment the target data according to a plurality of segmentation rules, to obtain a plurality of segmentation results, where the plurality of segmentation rules correspond to a plurality of performance indexes of the power battery;
the calculating module 403 is configured to calculate, based on the multiple segmentation results, a target index value corresponding to the multiple performance indexes.
Optionally, the segmentation module 402 is further configured to: the plurality of segmentation rules comprise a first segmentation rule, the first segmentation rule corresponds to continuous charging power in the plurality of performance indexes, the target data is segmented according to the plurality of segmentation rules, and the obtaining of the plurality of segmentation results comprises: and segmenting the target data according to a first segmentation rule to obtain a first segmentation result in a plurality of segmentation results, wherein the first segmentation result comprises a plurality of first driving segments, and the vehicle continuously decelerates and drives in each first driving segment.
Optionally, the computing module 403 is further configured to: the calculating the target index values corresponding to the performance indexes based on the segmentation results comprises the following steps: classifying the first driving fragments according to the duration time of each first driving fragment in the first classification result to obtain a first classification result, wherein a plurality of first categories in the first classification result correspond to a plurality of preset time levels; and calculating by using the first classification result to obtain a plurality of first index values corresponding to the continuous charging power of the power battery, wherein the plurality of first index values correspond to a plurality of first categories of the first classification result.
Optionally, the computing module 403 is further configured to: calculating by using the first classification result, obtaining a plurality of first index values corresponding to the continuous charging power of the power battery includes: determining first speed information and deceleration information to be used by using fragment data of a first driving fragment contained in each of a plurality of first categories of the first classification result, wherein the fragment data comprises: starting vehicle speed, average vehicle speed, peak deceleration and average deceleration; and calculating based on the first speed information, the deceleration information and the mass information of the target vehicle to obtain a plurality of first index values, wherein the target vehicle is a vehicle equipped with a power battery.
Optionally, the segmentation module 402 is further configured to: the plurality of segmentation rules comprise a second segmentation rule, the second segmentation rule corresponds to continuous discharge power in the plurality of performance indexes, the target data is segmented according to the plurality of segmentation rules, and the obtaining of the plurality of segmentation results comprises: and cutting the target data according to a second cutting rule to obtain a second cutting result in a plurality of cutting results, wherein the second cutting result comprises a plurality of second driving fragments, and the average speed of the vehicle in each second driving fragment is higher than a preset threshold value.
Optionally, the computing module 403 is further configured to: calculating a target index value corresponding to the performance indexes based on the segmentation results, wherein the target index value comprises: classifying the plurality of second driving fragments according to the duration time of each second driving fragment in the second segmentation result to obtain a second classification result, wherein a plurality of second categories in the second classification result correspond to a plurality of preset time levels; and calculating by using the second classification result to obtain a plurality of second index values corresponding to the continuous discharge power of the power battery, wherein the plurality of second index values correspond to a plurality of second classes of the second classification result.
Optionally, the computing module 403 is further configured to: calculating by using the second classification result, obtaining a plurality of second index values corresponding to the continuous discharge power of the power battery comprises the following steps: screening second driving fragments contained in each of a plurality of second categories of the second classification result based on a screening rule to obtain a screening result, wherein the screening rule is determined by the peak vehicle speed of the second driving fragments and a preset deviation threshold; determining second speed information to be used by using the peak speed of the second driving segment contained in each second category or the peak speed of the second driving segment contained in the screening result corresponding to each second category; and calculating based on the second speed information, the mass information of the target vehicle and the size information of the target vehicle to obtain a plurality of second index values, wherein the target vehicle is a vehicle equipped with a power battery.
Optionally, fig. 5 is a block diagram of a device for determining performance indexes of another alternative power battery according to an embodiment of the present invention, and as shown in fig. 5, the device includes, in addition to all the modules shown in fig. 3: the updating module 404 is configured to update the target data according to a preset time period, so as to obtain updated target data; and determining updated target index values corresponding to the plurality of performance indexes based on the updated target data.
Optionally, a graphical user interface is provided through the terminal device, where the content displayed by the graphical user interface at least partially includes a performance index design scenario of a power battery, and fig. 6 is a block diagram of a device for determining a performance index of a power battery according to still another alternative embodiment of the present invention, where the device includes, in addition to all the modules shown in fig. 4, a device shown in fig. 6: a matching module 405, configured to obtain vehicle information of a vehicle to be developed equipped with a power battery in response to a first touch operation acting on a graphical user interface; responding to a second touch operation acting on the graphical user interface, and based on vehicle information, matching the target index values corresponding to the performance indexes to obtain the design index values to be calibrated corresponding to the vehicles to be developed.
It should be noted that each of the above modules may be implemented by software or hardware, and for the latter, it may be implemented by, but not limited to: the modules are all located in the same processor; alternatively, the above modules may be located in different processors in any combination.
According to another aspect of the embodiment of the present invention, there is also provided an electronic apparatus including: comprising a memory in which a computer program is stored, and a processor arranged to run the computer program to perform the method of determining the performance index of the power cell of any one of the preceding claims.
Alternatively, in the present embodiment, the above-described memory may be configured to store a computer program for performing the steps of:
step S1, acquiring target data, wherein the target data is running data of continuous data frames in the pre-acquired vehicle total data;
s2, segmenting the target data according to a plurality of segmentation rules to obtain a plurality of segmentation results, wherein the plurality of segmentation rules correspond to a plurality of performance indexes of the power battery;
and step S3, calculating and obtaining target index values corresponding to the performance indexes based on the segmentation results.
Alternatively, in the present embodiment, the above memory may include, but is not limited to: a usb disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media in which a computer program can be stored.
Alternatively, in the present embodiment, the above-described processor may be configured to execute the following steps by a computer program:
step S1, acquiring target data, wherein the target data is running data of continuous data frames in the pre-acquired vehicle total data;
s2, segmenting the target data according to a plurality of segmentation rules to obtain a plurality of segmentation results, wherein the plurality of segmentation rules correspond to a plurality of performance indexes of the power battery;
And step S3, calculating and obtaining target index values corresponding to the performance indexes based on the segmentation results.
Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments and alternative implementations thereof, and this embodiment is not described herein.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present invention, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims (10)

1. A method for determining a performance index of a power battery, comprising:
acquiring target data, wherein the target data is running data of continuous data frames in the pre-acquired vehicle total data;
dividing the target data according to a plurality of dividing rules to obtain a plurality of dividing results, wherein the dividing rules correspond to a plurality of performance indexes of the power battery;
and calculating target index values corresponding to the performance indexes based on the segmentation results.
2. The performance level determination method according to claim 1, wherein the plurality of slicing rules includes a first slicing rule corresponding to a continuous charging power among the plurality of performance levels,
the target data is segmented according to a plurality of segmentation rules, and a plurality of segmentation results are obtained, wherein the steps include:
And segmenting the target data according to the first segmentation rule to obtain a first segmentation result in the segmentation results, wherein the first segmentation result comprises a plurality of first driving segments, and the vehicle continuously decelerates and drives in each first driving segment.
3. The performance index determination method according to claim 2, wherein calculating target index values corresponding to the plurality of performance indexes based on the plurality of segmentation results includes:
classifying the plurality of first driving fragments according to the duration time of each first driving fragment in the first classification result to obtain a first classification result, wherein a plurality of first categories in the first classification result correspond to a plurality of preset time levels;
and calculating by using the first classification result to obtain a plurality of first index values corresponding to the continuous charging power of the power battery, wherein the plurality of first index values correspond to a plurality of first categories of the first classification result.
4. The performance index determination method according to claim 3, wherein calculating using the first classification result to obtain a plurality of first index values corresponding to the continuous charging power of the power battery includes:
Determining first speed information and deceleration information to be used by using fragment data of a first driving fragment contained in each of a plurality of first categories of the first classification result, wherein the fragment data comprises: starting vehicle speed, average vehicle speed, peak deceleration and average deceleration;
and calculating based on the first speed information, the deceleration information and the mass information of a target vehicle, wherein the target vehicle is a vehicle equipped with the power battery, to obtain the plurality of first index values.
5. The performance level determination method according to claim 1, wherein the plurality of division rules includes a second division rule corresponding to a sustained discharge power among the plurality of performance levels,
the target data is segmented according to a plurality of segmentation rules, and a plurality of segmentation results are obtained, wherein the steps include:
and segmenting the target data according to the second segmentation rule to obtain a second segmentation result in the plurality of segmentation results, wherein the second segmentation result comprises a plurality of second driving segments, and the average speed of the vehicle in each second driving segment is higher than a preset threshold value.
6. The performance index determination method according to claim 5, wherein calculating target index values corresponding to the plurality of performance indexes based on the plurality of segmentation results includes:
classifying the second driving fragments according to the duration time of each second driving fragment in the second segmentation result to obtain a second classification result, wherein a plurality of second categories in the second classification result correspond to a plurality of preset time levels;
and calculating by using the second classification result to obtain a plurality of second index values corresponding to the continuous discharge power of the power battery, wherein the plurality of second index values correspond to a plurality of second classifications of the second classification result.
7. The performance index determination method according to claim 6, wherein calculating using the second classification result to obtain a plurality of second index values corresponding to the continuous discharge power of the power battery includes:
screening second driving fragments contained in each of a plurality of second categories of the second classification result based on a screening rule to obtain a screening result, wherein the screening rule is determined by the peak vehicle speed of the second driving fragments and a preset deviation threshold;
Determining second speed information to be used by using the peak vehicle speed of the second driving segment contained in each second category or using the peak vehicle speed of the second driving segment contained in the screening result corresponding to each second category;
and calculating based on the second speed information, the mass information of the target vehicle and the size information of the target vehicle to obtain the plurality of second index values, wherein the target vehicle is a vehicle equipped with the power battery.
8. The performance index determination method according to claim 1, characterized in that the performance index determination method further comprises:
updating the target data according to a preset time period to obtain updated target data;
and determining updated target index values corresponding to the performance indexes based on the updated target data.
9. The performance level determination method according to claim 1, wherein a graphical user interface is provided by the terminal device, the graphical user interface being displayed to at least partially include a performance level design scene of the power battery, the performance level determination method further comprising:
Responding to a first touch operation acted on the graphical user interface, and acquiring vehicle information of a vehicle to be developed provided with the power battery;
and responding to a second touch operation acting on the graphical user interface, and based on the vehicle information, matching the target index values corresponding to the performance indexes to obtain the design index values to be calibrated corresponding to the vehicle to be developed.
10. An electronic device, comprising: comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to run the computer program to perform the method of determining the performance index of a power cell as claimed in any one of claims 1 to 9.
CN202310466679.2A 2023-04-26 2023-04-26 Method for determining performance index of power battery and electronic device Pending CN116522278A (en)

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