CN113815481A - Battery pack selection method and device, electronic equipment and storage medium - Google Patents

Battery pack selection method and device, electronic equipment and storage medium Download PDF

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Publication number
CN113815481A
CN113815481A CN202111382204.2A CN202111382204A CN113815481A CN 113815481 A CN113815481 A CN 113815481A CN 202111382204 A CN202111382204 A CN 202111382204A CN 113815481 A CN113815481 A CN 113815481A
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battery pack
determining
battery
parameter
temperature
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CN113815481B (en
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雷晓霂
马建新
侯艳丽
李玉军
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Beijing Shengneng Energy Technology Co Ltd
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Beijing Shengneng Energy Technology Co Ltd
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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
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/80—Exchanging energy storage elements, e.g. removable batteries
    • 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
    • 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
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors

Abstract

The embodiment of the invention discloses a battery pack selection method, a battery pack selection device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring the residual battery capacity of each storage battery pack in the battery replacement station, and determining the storage battery pack with the residual battery capacity meeting the battery replacement threshold as a battery pack to be selected; for each battery pack to be selected, determining a reference parameter corresponding to the battery pack to be selected; wherein the reference parameter comprises at least one of a time parameter, a distance parameter, a lifetime parameter, and a temperature parameter; determining an overall evaluation value corresponding to each battery pack to be selected according to the reference parameters; and determining the target battery pack according to the overall evaluation value corresponding to each battery pack to be selected. By the technical scheme of the embodiment of the invention, the technical effect of selecting a proper battery pack to meet the requirements of customers is achieved.

Description

Battery pack selection method and device, electronic equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of electric automobiles, in particular to a battery pack selection method and device, electronic equipment and a storage medium.
Background
At present, the electric automobile as a green vehicle has the advantages of obvious energy-saving effect, high comprehensive energy utilization rate, good environmental benefit and the like. The power source of the electric automobile is the battery pack, and electricity can be supplemented in a mode of replacing the battery pack after the electric quantity of the battery pack is consumed.
The place for replacing the battery packs is a power exchanging station, the laying range of the power exchanging station is larger and larger, and the number of the battery packs in each power exchanging station is different from several to dozens of the battery packs. The mode that the control system of the power station selects the most suitable battery pack from a plurality of battery packs in the station to provide for the client comprises manual selection and selection of set conditions. However, by manually selecting an appropriate battery pack, there are problems of inefficiency and the battery pack may not meet customer requirements; the selection is performed by depending on the setting condition, for example, the setting condition is the electric quantity, the full charge is prioritized, and the like, and the problem that the setting condition is single and the battery pack cannot meet the customer requirement may exist.
Disclosure of Invention
The embodiment of the invention provides a battery pack selection method and device, electronic equipment and a storage medium, which are used for realizing the technical effect of selecting a proper battery pack to meet the requirements of customers.
In a first aspect, an embodiment of the present invention provides a battery pack selection method, where the method includes:
acquiring the residual battery capacity of each storage battery pack in the battery replacement station, and determining the storage battery pack with the residual battery capacity meeting the battery replacement threshold as a battery pack to be selected;
for each battery pack to be selected, determining a reference parameter corresponding to the battery pack to be selected; wherein the reference parameter comprises at least one of a time parameter, a distance parameter, a lifetime parameter, and a temperature parameter;
determining an overall evaluation value corresponding to each battery pack to be selected according to the reference parameters;
and determining the target battery pack according to the overall evaluation value corresponding to each battery pack to be selected. In a second aspect, an embodiment of the present invention further provides a battery pack selection apparatus, where the apparatus includes:
the battery pack determination module to be selected is used for acquiring the residual battery capacity of each storage battery pack in the battery replacement station and determining the storage battery pack with the residual battery capacity meeting the battery replacement threshold as the battery pack to be selected;
the reference parameter determining module is used for determining a reference parameter corresponding to each battery pack to be selected; wherein the reference parameter comprises at least one of a time parameter, a distance parameter, a lifetime parameter, and a temperature parameter;
the overall evaluation value determining module is used for determining an overall evaluation value corresponding to each battery pack to be selected according to the reference parameters;
and the target battery pack determining module is used for determining the target battery pack according to the overall evaluation value corresponding to each battery pack to be selected. In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a battery pack selection method as in any of the embodiments of the invention.
In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the battery pack selection method according to any one of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, the residual battery capacity of each storage battery pack in the battery replacement station is obtained, the storage battery pack with the residual battery capacity meeting the battery replacement threshold is determined as the battery pack to be selected, so that the usability of the battery pack recommended subsequently is ensured, further, the reference parameter corresponding to the battery pack to be selected is determined for each battery pack to be selected, the overall evaluation value corresponding to each battery pack to be selected is determined according to the reference parameter, the advantages and disadvantages of each battery pack to be selected are comprehensively measured, further, the target battery pack is determined according to the overall evaluation value corresponding to each battery pack to be selected, the problem that the battery pack provided by the battery replacement station in a default mode cannot meet the requirements of customers is solved, and the technical effect of selecting the proper battery pack to meet the requirements of the customers is realized.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, a brief description is given below of the drawings used in describing the embodiments. It should be clear that the described figures are only views of some of the embodiments of the invention to be described, not all, and that for a person skilled in the art, other figures can be derived from these figures without inventive effort.
Fig. 1 is a schematic flowchart of a battery pack selection method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a battery pack selection method according to a second embodiment of the present invention;
fig. 3 is a schematic flowchart of a battery pack selection method according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of a battery pack selection apparatus according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a schematic flow chart of a battery pack selection method according to an embodiment of the present invention, where the embodiment is applicable to a situation where a suitable battery pack is provided for a customer in an electric vehicle charging station, and the method may be executed by a battery pack selection apparatus, and the apparatus may be implemented in the form of software and/or hardware, where the hardware may be an electronic device, and optionally, the electronic device may be a mobile terminal, a PC terminal, and the like.
As shown in fig. 1, the method of this embodiment specifically includes the following steps:
and S110, obtaining the residual battery capacity of each storage battery pack in the battery replacement station, and determining the storage battery pack with the residual battery capacity meeting the battery replacement threshold as a battery pack to be selected.
The storage battery pack may be a battery pack currently stored in the battery swapping station and to be used. The remaining battery capacity may be a remaining capacity of the battery. The battery replacement threshold is a value at which the remaining battery capacity that can be used by the electric vehicle is the lowest, for example, 85%. The battery pack to be selected can be a storage battery pack meeting the requirement of the battery replacement threshold.
Specifically, the residual battery capacity of each storage battery pack in the battery replacement station is obtained and counted, and the residual battery capacity is compared with a battery replacement threshold value. If the residual battery capacity exceeds the battery replacement threshold value, the storage battery pack can be installed on the electric automobile for use, and the storage battery pack is used as a battery pack to be selected. If the residual battery capacity exceeds the battery replacement threshold, the electric quantity of the storage battery pack is insufficient, the storage battery pack cannot be used by the electric automobile, and subsequent charging treatment can be carried out.
It should be noted that the remaining battery capacity may be understood as a State of Charge (SOC) of the battery, i.e. a State of Charge (SOC) of the battery, which may be generally expressed by a percentage.
And S120, determining a reference parameter corresponding to each battery pack to be selected.
The reference parameter may be a parameter for measuring the quality of each battery pack to be selected, and the reference parameter includes at least one of a time parameter, a distance parameter, a life parameter, and a temperature parameter. The time parameter may be a parameter for measuring the storage time of each battery pack to be selected in the battery changing station, the distance parameter may be a parameter for measuring the distance from each battery pack to be selected to the power changing port in the battery changing station, the life parameter may be a parameter for measuring the service life of each battery pack to be selected, and the temperature parameter may be a parameter for measuring the current temperature of each battery pack to be selected.
Specifically, the relevant reference parameters can be obtained by respectively calculating for each battery pack to be selected according to the corresponding calculation mode.
And S130, determining the overall evaluation value corresponding to each battery pack to be selected according to the reference parameters.
The overall evaluation value may be a numerical value obtained by comprehensively considering each reference parameter, and is used for evaluating the availability of each battery pack to be selected.
Specifically, after determining each reference parameter, the reference parameters may be added, or weighted and superimposed, or analyzed through a pre-established function model, a machine learning model, or the like to obtain a value, and the value is used as the overall evaluation value.
And S140, determining a target battery pack according to the overall evaluation value corresponding to each battery pack to be selected.
The target battery pack can be a battery pack to be selected, the overall evaluation value of which meets the preset requirement, and the target battery pack is used for replacing the next or next electric vehicles.
Specifically, after the overall evaluation value of each battery pack to be selected is determined, one battery pack to be selected with the largest overall evaluation value can be selected from the battery packs to be selected as a target battery pack, so as to change the battery for the next electric vehicle. Or selecting a plurality of battery packs to be selected with a preset number in the front from the battery packs to be selected as target battery packs so as to sequentially replace the batteries of a plurality of continuous electric vehicles.
According to the technical scheme of the embodiment of the invention, the residual battery capacity of each storage battery pack in the battery replacement station is obtained, the storage battery pack with the residual battery capacity meeting the battery replacement threshold is determined as the battery pack to be selected, so that the usability of the battery pack recommended subsequently is ensured, further, the reference parameter corresponding to the battery pack to be selected is determined for each battery pack to be selected, the overall evaluation value corresponding to each battery pack to be selected is determined according to the reference parameter, the advantages and disadvantages of each battery pack to be selected are comprehensively measured, further, the target battery pack is determined according to the overall evaluation value corresponding to each battery pack to be selected, the problem that the battery pack provided by the battery replacement station in a default mode cannot meet the requirements of customers is solved, and the technical effect of selecting the proper battery pack to meet the requirements of the customers is realized.
Example two
Fig. 2 is a schematic flow chart of a battery pack selection method according to a second embodiment of the present invention, and in this embodiment, based on the above embodiments, reference may be made to the technical solution of this embodiment for determining different reference parameters and selecting a target battery pack. The same or corresponding terms as those in the above embodiments are not explained in detail herein.
As shown in fig. 2, the method of this embodiment specifically includes the following steps:
s210, obtaining the residual battery capacity of each storage battery pack in the battery replacement station, and determining the storage battery pack with the residual battery capacity meeting the battery replacement threshold as a battery pack to be selected.
And S220, acquiring the battery replacing vehicle requirement, and determining an operation mode according to the battery replacing vehicle requirement.
The battery replacement vehicle can be an electric vehicle with a battery replacement requirement in a battery replacement station. The battery replacement vehicle requirements can be battery pack service time requirements, battery pack service life requirements, battery replacement speed requirements and the like. The operation mode can be a mode corresponding to different battery replacement vehicle requirements, and the operation coefficients corresponding to different reference parameters in different operation modes are different.
Specifically, when the battery replacing vehicle drives into the battery replacing station, the battery replacing vehicle requirement can be acquired, and the corresponding operation mode is called according to the battery replacing vehicle requirement. If the battery replacement vehicle does not have any requirement, a default operation mode can be used, and the operation parameter size corresponding to each reference parameter in the default operation mode can be set according to experience and the like.
And S230, determining operation coefficients corresponding to the reference parameters according to the operation modes, and determining the reference parameters according to the operation coefficients.
Wherein the operation coefficient may be a weight of the reference parameter.
Specifically, after the operation mode is determined, the operation coefficient corresponding to each reference parameter may be called. And further, applying the operation coefficients corresponding to different reference parameters to different reference parameter calculation processes to obtain each reference parameter.
Optionally, if the reference parameter includes a time parameter, the reference parameter corresponding to the battery pack to be selected may be determined according to the following steps:
step one, determining the storage time of each battery pack to be selected stored in the battery swapping station.
The storage duration can be the total storage duration of the battery pack to be selected in the battery replacement station.
Specifically, the starting time of storing the battery pack to be selected in the battery changing station can be recorded, the current time is obtained when the time parameter is calculated, and the storage duration is determined according to the starting time and the current time. Or, timing is started when the battery pack to be selected is stored in the battery replacement station, and the storage duration corresponding to the current time is obtained when the time parameter is calculated.
And step two, determining the minimum value in the storage time length, and determining the time parameter of each battery pack to be selected according to the minimum value, the storage time length of each battery pack to be selected and a preset time operation coefficient.
The time operation coefficient may be a weight in the time parameter, a default setting value, or a value allocated in the operation mode.
Specifically, the minimum value of the storage time can be determined from each battery pack to be selected. And aiming at each battery pack to be selected, the storage time of the battery pack to be selected can be compared with the determined minimum value, and the time parameter of the battery pack to be selected is obtained by multiplying the numerical value obtained by comparison with a preset time operation coefficient.
Optionally, the time parameter of the battery pack to be selected may be determined according to the following formula:
Figure 382931DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 831230DEST_PATH_IMAGE002
is shown asnThe time parameter of each battery pack to be selected,Ka time-running coefficient is represented by,
Figure 17492DEST_PATH_IMAGE003
is shown asnThe time operation coefficient of each battery pack to be selected,
Figure 943859DEST_PATH_IMAGE004
is shown asnThe storage time of each battery pack to be selected,
Figure 492652DEST_PATH_IMAGE005
indicating the minimum of the total storage time.
It should be noted that the time operation coefficients corresponding to different battery packs to be selected may be the same or different, and may be determined according to the actually selected operation mode.
It should be noted that the term "time parameter" may be understood as first-in first-out, that is, when the remaining reference parameters are the same, the battery pack to be selected with a longer storage time is taken out before the battery pack to be selected with a shorter storage time.KThe larger the value is, the more average the use condition of the battery replacement pack supported by the battery replacement station is.
Optionally, if the reference parameter includes a distance parameter, the reference parameter corresponding to the battery pack to be selected may be determined according to the following steps:
step one, aiming at each battery pack to be selected, determining a battery replacement distance corresponding to the battery pack to be selected.
The battery replacement distance can be the distance between the battery pack to be selected and the battery replacement port.
Specifically, the storage position of the battery pack to be selected stored in the battery changing station can be recorded, the position of the current battery changing port is obtained when the distance parameter is calculated, and the battery changing distance is determined according to the storage position and the position of the current battery changing port. If the battery pack to be selected is stored in the battery replacement station, the storage position can be replaced for some reasons, for example: and taking out the battery replacing battery pack close to the battery replacing port, acquiring the current position of the battery pack to be selected and the position of the current battery replacing port when calculating the distance parameter, and determining the battery replacing distance according to the current position of the battery pack to be selected and the position of the current battery replacing port.
And step two, determining the maximum value in the battery replacement distance, and determining the distance parameter of each battery pack to be selected according to the maximum value, the replacement point distance of each battery pack to be selected and a preset distance operation coefficient.
The distance operation coefficient may be a weight in the distance parameter, a default setting value, or a value allocated in the operation mode.
Specifically, the maximum value of the battery replacement distances can be determined from each battery pack to be selected. For each battery pack to be selected, the battery replacement distance of the battery pack to be selected can be compared with the determined maximum value, and the distance parameter of the battery pack to be selected is obtained by multiplying the numerical value obtained by comparison with a preset distance operation coefficient.
Optionally, the distance parameter of the battery pack to be selected may be determined according to the following formula:
Figure 987219DEST_PATH_IMAGE006
wherein the content of the first and second substances,
Figure 785410DEST_PATH_IMAGE007
is shown asnThe distance parameter of each battery pack to be selected,Fthe distance-to-operation coefficient is represented,
Figure 718731DEST_PATH_IMAGE008
is shown asnThe distance operation coefficient of each battery pack to be selected,
Figure 794135DEST_PATH_IMAGE009
is shown asnThe battery replacement distance of each battery pack to be selected,
Figure 584236DEST_PATH_IMAGE010
representing the maximum of all the commutation distances.
It should be noted that the distance operation coefficients corresponding to different battery packs to be selected may be the same or different, and may be determined according to the actually selected operation mode.
It should be noted that the meaning of the distance parameter can be understoodThe distance is determined to be prior, namely the battery pack to be selected which is closer to the battery replacement port when the rest reference parameters are the same is taken out for use before the battery pack to be selected which is farther from the battery replacement port.FThe larger the value is, the higher the power conversion efficiency supported by the power conversion station is.
Optionally, if the reference parameter includes a life parameter, the reference parameter corresponding to the battery pack to be selected may be determined according to the following steps:
step one, determining the battery health degree of each battery pack to be selected.
Among them, the State of health (SOH) of the battery may be a quantitative indicator of the State of health of the battery, and may be determined according to the end of life of the battery.
Specifically, the battery health degree of each battery pack to be selected can be determined in the existing manner of determining the battery health degree.
And step two, determining the service life parameter of each battery pack to be selected according to the battery health degree of each battery pack to be selected and a preset service life operation coefficient.
The lifetime operation coefficient may be a weight in the lifetime parameter, a default setting value, or a value allocated in the operation mode.
Specifically, for each battery pack to be selected, the battery health degree and the service life operation coefficient may be multiplied to obtain a service life parameter of the battery pack to be selected.
Optionally, the life parameter of the battery pack to be selected may be determined according to the following formula:
Figure 978046DEST_PATH_IMAGE011
wherein the content of the first and second substances,
Figure 511796DEST_PATH_IMAGE012
is shown asnThe life parameters of each battery pack to be selected,Gthe life-time operation coefficient is represented,
Figure 441706DEST_PATH_IMAGE013
is shown asnThe life operating coefficient of each battery pack to be selected,
Figure 605971DEST_PATH_IMAGE014
is shown asnThe battery health of each battery pack to be selected.
It should be noted that the service life operation coefficients corresponding to different battery packs to be selected may be the same or different, and may be determined according to the actually selected operation mode.
It should be noted that the meaning of the life parameter may be understood as that the battery health degree is prior, that is, when the remaining reference parameters are the same, the battery pack to be selected with higher battery health degree is taken out and used before the battery pack to be selected with lower battery health degree.GThe larger the value, the more average the battery life of the battery replacement pack supported by the battery replacement station.
Optionally, if the reference parameter includes a temperature parameter, the reference parameter corresponding to the battery pack to be selected may be determined according to the following steps:
step one, determining the temperature value of each battery pack to be selected, and determining the equivalent temperature of the battery pack to be selected according to the temperature value and the temperature conversion function.
The temperature value may be a current temperature of the battery pack to be selected. The temperature transfer function may be a function of processing the temperature values. The equivalent temperature may be an output value of the temperature conversion function.
Specifically, the temperature value of the battery pack to be selected may be determined based on a temperature sensor or a detection device of the battery pack to be selected itself. And inputting the temperature value into the temperature conversion function aiming at each battery pack to be selected, and determining the obtained output value as the equivalent temperature of the battery pack to be selected.
Optionally, the equivalent temperature of the battery pack to be selected may be determined according to the following formula:
Figure 378755DEST_PATH_IMAGE015
wherein the content of the first and second substances,
Figure 325982DEST_PATH_IMAGE016
in order to be a function of the temperature transfer,
Figure 500611DEST_PATH_IMAGE017
is the equivalent temperature of the battery pack to be selected,Tbattis the current temperature of the battery pack to be selected.
And step two, determining the temperature parameter of each battery pack to be selected according to the equivalent temperature of each battery pack to be selected and a preset temperature operation coefficient.
The temperature operation coefficient may be a weight in the temperature parameter, a default setting value, or a value allocated in the operation mode.
Specifically, for each battery pack to be selected, the equivalent temperature may be multiplied by the temperature operation coefficient to obtain a temperature parameter of the battery pack to be selected.
Optionally, the temperature parameter of the battery pack to be selected may be determined according to the following formula:
Figure 570199DEST_PATH_IMAGE018
wherein the content of the first and second substances,
Figure 705645DEST_PATH_IMAGE019
is shown asnThe temperature parameter of each battery pack to be selected,Hthe life-time operation coefficient is represented,
Figure 315618DEST_PATH_IMAGE020
is shown asnThe temperature operation coefficient of each battery pack to be selected,
Figure 718655DEST_PATH_IMAGE021
is shown asnThe equivalent temperature of each battery pack to be selected.
It should be noted that the temperature operation coefficients corresponding to different battery packs to be selected may be the same or different, and may be determined according to the actually selected operation mode.
It should also be noted that temperature affects the state of the battery pack, and therefore, the meaning of the temperature parameter can be understood as the equivalent temperatureAnd the priority is low, namely when the rest reference parameters are the same, the battery pack to be selected with lower equivalent temperature is taken out before the battery pack to be selected with higher equivalent temperature.HThe larger the value is, the better the state of the battery replacing battery pack supported by the battery replacing station is, and the better the customer experience is.
And S240, determining the overall evaluation value corresponding to each battery pack to be selected according to the reference parameters.
Specifically, after determining each reference parameter, the reference parameters may be added, or weighted and superimposed, or analyzed through a pre-established function model, a machine learning model, or the like to obtain a value, and the value is used as the overall evaluation value.
Optionally, the overall evaluation value corresponding to the battery pack to be selected is determined according to the following formula:
Figure 21460DEST_PATH_IMAGE022
wherein the content of the first and second substances,
Figure 378624DEST_PATH_IMAGE023
is shown asnThe overall evaluation value of the individual battery packs to be selected,
Figure 792287DEST_PATH_IMAGE024
is shown asnThe time parameter of each battery pack to be selected,
Figure 816875DEST_PATH_IMAGE025
is shown asnThe distance parameter of each battery pack to be selected,
Figure 493844DEST_PATH_IMAGE026
is shown asnThe life parameters of each battery pack to be selected,
Figure 462937DEST_PATH_IMAGE027
is shown asnTemperature parameters of each battery pack to be selected.
And S250, determining an evaluation maximum value in the overall evaluation values according to the overall evaluation value corresponding to each battery pack to be selected, and determining the battery pack to be selected corresponding to the evaluation maximum value as a target battery pack.
Specifically, after the overall evaluation value corresponding to each battery pack to be selected is determined, the maximum value of the overall evaluation values is determined to be the evaluation maximum value, and then the battery pack to be selected with the evaluation maximum value is used as the target battery pack to be allocated to the user for battery replacement.
As an alternative implementation of the above embodiments, fig. 3 is a schematic flow chart of a battery pack selection method provided in the second embodiment of the present invention. The same or corresponding terms as those in the above embodiments are not explained in detail herein.
As shown in fig. 3, the method of this embodiment specifically includes the following steps:
1. setting a packet selection mode (operation mode), and if the packet selection mode is the intelligent packet selection mode (default operation mode), executing the step 2; and if the package selection mode is the manual mode for replacing the battery vehicle, executing the step 3. 2. And calculating according to the parameters of the intelligent package selection mode, and executing the step 5.
3. And (4) setting a manual mode according to the battery replacement vehicle requirement, and executing the step 4.
4. In manual mode, a calculation is made based on the parameters and step 5 is performed.
5. And taking the battery pack corresponding to the maximum value obtained by calculation as a target battery pack.
Wherein, calculating according to the parameters of different modes comprises:
parameter 1: and (4) battery pack SOC. The SOC based on all the battery packs (storage battery packs) is sorted from low to high. And screening out the battery packs meeting the battery swapping requirement according to a preset allowed battery swapping SOC threshold (battery swapping threshold) to form a battery pack set (battery pack to be selected).
Parameter 2: a time parameter. In the battery pack set screened according to the parameter 1, the time parameter of each battery pack is estimated according to a first-in first-out principle, and the detailed estimation method can refer to the calculation mode of the time parameter in the step S230.
Parameter 3: a distance parameter. In the battery pack set screened according to the parameter 1, the distance parameter of each battery pack is estimated according to the battery replacement distance, and the detailed estimation method can refer to the calculation mode of the distance parameter in S230.
Parameter 4: a life parameter. In the battery pack set screened according to the parameter 1, the life parameter of each battery pack is estimated according to the battery life, and the detailed estimation method may refer to the calculation manner of the life parameter in S230.
Parameter 5: current battery status (temperature parameter). In the battery pack set screened according to the parameter 1, the current battery state of each battery pack is estimated according to the current battery state, and the detailed estimation method may refer to the calculation manner of the temperature parameter in S230.
According to the parameters, the equivalent estimation value (overall estimation value) of each battery pack in the battery pack set can be calculated. The operation coefficient in the calculation process can be defined according to the operation strategy. For the manual mode, the requirement of customers can be met by adjusting the operation coefficient. And for the intelligent pack selection mode, selecting the battery pack corresponding to the maximum equivalent estimated value for battery replacement.
The technical scheme of the embodiment of the invention ensures the availability of the battery packs recommended subsequently by acquiring the residual battery capacity of each storage battery pack in the battery replacement station and determining the storage battery pack with the residual battery capacity meeting the battery replacement threshold as the battery pack to be selected, further acquires the battery replacement vehicle requirement, determines the operation mode according to the battery replacement vehicle requirement, determines the operation coefficient corresponding to each reference parameter according to the operation mode, determines each reference parameter according to each operation coefficient, determines the overall evaluation value corresponding to each battery pack to be selected according to the reference parameters, comprehensively measures the advantages and disadvantages of each battery pack to be selected according to the requirements of customers, further determines the evaluation maximum value in the overall evaluation values according to the overall evaluation value corresponding to each battery pack to be selected, determines the battery pack to be selected corresponding to the evaluation maximum value as the target battery pack, the problem of the battery package that trades the acquiescence of power station and provide can't satisfy customer's demand is solved, the technological effect of selecting suitable battery package to satisfy customer's demand has been realized.
EXAMPLE III
Fig. 4 is a schematic structural diagram of a battery pack selection apparatus according to a third embodiment of the present invention, where the apparatus includes: a candidate battery pack determining module 310, a reference parameter determining module 320, an overall evaluation value determining module 330, and a target battery pack determining module 340.
The battery pack selection module 310 is configured to obtain remaining battery capacities of storage battery packs in the battery replacement station, and determine a storage battery pack of which the remaining battery capacity meets a battery replacement threshold as a battery pack to be selected; a reference parameter determining module 320, configured to determine, for each battery pack to be selected, a reference parameter corresponding to the battery pack to be selected; wherein the reference parameter comprises at least one of a time parameter, a distance parameter, a lifetime parameter, and a temperature parameter; an overall evaluation value determining module 330, configured to determine an overall evaluation value corresponding to each battery pack to be selected according to the reference parameter; and the target battery pack determining module 340 is configured to determine a target battery pack according to the overall evaluation value corresponding to each battery pack to be selected.
Optionally, the reference parameter includes a time parameter, and the reference parameter determining module 320 is further configured to determine, for each battery pack to be selected, a storage duration for storing the battery pack to be selected in the battery swapping station; and determining the minimum value in the storage time length, and determining the time parameter of each battery pack to be selected according to the minimum value, the storage time length of each battery pack to be selected and a preset time operation coefficient.
Optionally, the reference parameter includes a distance parameter, and the reference parameter determining module 320 is further configured to determine, for each battery pack to be selected, a battery swapping distance corresponding to the battery pack to be selected; and determining the maximum value in the battery replacement distance, and determining the distance parameter of each battery pack to be selected according to the maximum value, the replacement point distance of each battery pack to be selected and a preset distance operation coefficient.
Optionally, the reference parameter includes a life parameter, and the reference parameter determining module 320 is further configured to determine, for each battery pack to be selected, a battery health degree of the battery pack to be selected; and determining the service life parameter of each battery pack to be selected according to the battery health degree of each battery pack to be selected and a preset service life operation coefficient.
Optionally, the reference parameter includes a temperature parameter, and the reference parameter determining module 320 is further configured to determine, for each battery pack to be selected, a temperature value of the battery pack to be selected, and determine an equivalent temperature of the battery pack to be selected according to the temperature value and a temperature conversion function; and determining the temperature parameter of each battery pack to be selected according to the equivalent temperature of each battery pack to be selected and a preset temperature operation coefficient.
Optionally, the reference parameter determining module 320 is further configured to obtain a battery replacement vehicle demand, and determine an operation mode according to the battery replacement vehicle demand; and determining operation coefficients corresponding to the reference parameters according to the operation mode, and determining the reference parameters according to the operation coefficients.
Optionally, the target battery pack determining module 340 is further configured to determine an evaluation maximum value in the overall evaluation values according to the overall evaluation value corresponding to each battery pack to be selected; and determining the battery pack to be selected corresponding to the evaluation maximum value as a target battery pack.
According to the technical scheme of the embodiment of the invention, the residual battery capacity of each storage battery pack in the battery replacement station is obtained, the storage battery pack with the residual battery capacity meeting the battery replacement threshold is determined as the battery pack to be selected, so that the usability of the battery pack recommended subsequently is ensured, further, the reference parameter corresponding to the battery pack to be selected is determined for each battery pack to be selected, the overall evaluation value corresponding to each battery pack to be selected is determined according to the reference parameter, the advantages and disadvantages of each battery pack to be selected are comprehensively measured, further, the target battery pack is determined according to the overall evaluation value corresponding to each battery pack to be selected, the problem that the battery pack provided by the battery replacement station in a default mode cannot meet the requirements of customers is solved, and the technical effect of selecting the proper battery pack to meet the requirements of the customers is realized.
The battery pack selection device provided by the embodiment of the invention can execute the battery pack selection method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, the units and modules included in the apparatus are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
Example four
Fig. 5 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary electronic device 40 suitable for use in implementing embodiments of the present invention. The electronic device 40 shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 5, electronic device 40 is embodied in the form of a general purpose computing device. The components of electronic device 40 may include, but are not limited to: one or more processors or processing units 401, a system memory 402, and a bus 403 that couples the various system components (including the system memory 402 and the processing unit 401).
Bus 403 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 40 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 40 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 402 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 404 and/or cache memory 405. The electronic device 40 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 406 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 403 by one or more data media interfaces. System memory 402 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 408 having a set (at least one) of program modules 407 may be stored, for example, in system memory 402, such program modules 407 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 407 generally perform the functions and/or methods of the described embodiments of the invention.
The electronic device 40 may also communicate with one or more external devices 409 (e.g., keyboard, pointing device, display 410, etc.), with one or more devices that enable a user to interact with the electronic device 40, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device 40 to communicate with one or more other computing devices. Such communication may be through input/output (I/O) interface 411. Also, the electronic device 40 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 412. As shown, the network adapter 412 communicates with the other modules of the electronic device 40 over the bus 403. It should be appreciated that although not shown in FIG. 5, other hardware and/or software modules may be used in conjunction with electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 401 executes various functional applications and data processing by running a program stored in the system memory 402, for example, to implement the battery pack selection method provided by the embodiment of the present invention.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for battery pack selection, the method including:
acquiring the residual battery capacity of each storage battery pack in the battery replacement station, and determining the storage battery pack with the residual battery capacity meeting the battery replacement threshold as a battery pack to be selected;
for each battery pack to be selected, determining a reference parameter corresponding to the battery pack to be selected; wherein the reference parameter comprises at least one of a time parameter, a distance parameter, a lifetime parameter, and a temperature parameter;
determining an overall evaluation value corresponding to each battery pack to be selected according to the reference parameters;
and determining the target battery pack according to the overall evaluation value corresponding to each battery pack to be selected.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method for battery pack selection, comprising:
acquiring the residual battery capacity of each storage battery pack in the battery replacement station, and determining the storage battery pack with the residual battery capacity meeting the battery replacement threshold as a battery pack to be selected;
for each battery pack to be selected, determining a reference parameter corresponding to the battery pack to be selected; wherein the reference parameter comprises at least one of a time parameter, a distance parameter, a lifetime parameter, and a temperature parameter;
determining an overall evaluation value corresponding to each battery pack to be selected according to the reference parameters;
and determining the target battery pack according to the overall evaluation value corresponding to each battery pack to be selected.
2. The method of claim 1, wherein the reference parameter comprises a time parameter, and wherein the determining the reference parameter corresponding to the battery pack to be selected comprises:
determining the storage time length for storing each battery pack to be selected into a battery replacement station;
and determining the minimum value in the storage time length, and determining the time parameter of each battery pack to be selected according to the minimum value, the storage time length of each battery pack to be selected and a preset time operation coefficient.
3. The method of claim 1, wherein the reference parameter comprises a distance parameter, and wherein determining the reference parameter corresponding to the battery pack to be selected comprises:
determining a battery replacement distance corresponding to each battery pack to be selected;
and determining the maximum value in the battery replacement distance, and determining the distance parameter of each battery pack to be selected according to the maximum value, the replacement point distance of each battery pack to be selected and a preset distance operation coefficient.
4. The method of claim 1, wherein the reference parameter comprises a lifetime parameter, and wherein determining the reference parameter corresponding to the battery pack to be selected comprises:
for each battery pack to be selected, determining the battery health degree of the battery pack to be selected;
and determining the service life parameter of each battery pack to be selected according to the battery health degree of each battery pack to be selected and a preset service life operation coefficient.
5. The method of claim 1, wherein the reference parameter comprises a temperature parameter, and wherein determining the reference parameter corresponding to the battery pack to be selected comprises:
determining the temperature value of each battery pack to be selected, and determining the equivalent temperature of the battery pack to be selected according to the temperature value and a temperature conversion function;
and determining the temperature parameter of each battery pack to be selected according to the equivalent temperature of each battery pack to be selected and a preset temperature operation coefficient.
6. The method of claim 1, wherein the determining the reference parameter corresponding to the battery pack to be selected comprises:
acquiring a battery replacing vehicle demand, and determining an operation mode according to the battery replacing vehicle demand;
and determining operation coefficients corresponding to the reference parameters according to the operation mode, and determining the reference parameters according to the operation coefficients.
7. The method according to claim 1, wherein the determining the target battery pack according to the overall evaluation value corresponding to each battery pack to be selected comprises:
determining an evaluation maximum value in the overall evaluation values according to the overall evaluation value corresponding to each battery pack to be selected;
and determining the battery pack to be selected corresponding to the evaluation maximum value as a target battery pack.
8. A battery pack selection apparatus, comprising:
the battery pack determination module to be selected is used for acquiring the residual battery capacity of each storage battery pack in the battery replacement station and determining the storage battery pack with the residual battery capacity meeting the battery replacement threshold as the battery pack to be selected;
the reference parameter determining module is used for determining a reference parameter corresponding to each battery pack to be selected; wherein the reference parameter comprises at least one of a time parameter, a distance parameter, a lifetime parameter, and a temperature parameter;
the overall evaluation value determining module is used for determining an overall evaluation value corresponding to each battery pack to be selected according to the reference parameters;
and the target battery pack determining module is used for determining the target battery pack according to the overall evaluation value corresponding to each battery pack to be selected.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the battery pack selection method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the battery pack selection method according to any one of claims 1 to 7.
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