CN111806291B - Vehicle and battery matching method, device and system and readable storage medium - Google Patents

Vehicle and battery matching method, device and system and readable storage medium Download PDF

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Publication number
CN111806291B
CN111806291B CN202010676767.1A CN202010676767A CN111806291B CN 111806291 B CN111806291 B CN 111806291B CN 202010676767 A CN202010676767 A CN 202010676767A CN 111806291 B CN111806291 B CN 111806291B
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battery
vehicle
target
replaced
matched
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CN111806291A (en
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叶磊
田维超
吴毅成
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Wuhan Weilai Energy Co ltd
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Wuhan Weilai Energy Co ltd
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Priority to TW110101231A priority patent/TWI763249B/en
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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
    • 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
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric charging stations
    • 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
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The embodiment of the invention provides a method, a device and a system for matching a vehicle and a battery and a readable storage medium, and relates to the technical field of matching of the vehicle and the battery. The matching method of the vehicle and the battery comprises the following steps: obtaining a prediction result of future use behaviors of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement; and according to the prediction result, determining a target matched battery to be replaced on the vehicle to be replaced in the matched batteries in the target battery replacing station. The technical scheme provided by the embodiment of the invention can solve the problems that the performance difference of the batteries in the battery replacement station is large and the operation efficiency of the batteries is influenced due to the battery replacement strategy in the prior art to a certain extent.

Description

Vehicle and battery matching method, device and system and readable storage medium
Technical Field
The invention relates to the technical field of matching of a vehicle and a battery, in particular to a method, a device and a system for matching the vehicle and the battery and a readable storage medium.
Background
With the increasingly decreasing non-renewable energy sources (such as petroleum) and the urgent need for environmental improvement, new energy vehicles, for example, electric vehicles powered by power batteries (such as pure electric vehicles, electromechanical hybrid vehicles, fuel cell vehicles, etc.), have been increasingly put into people's lives.
For electric vehicles, how to provide a quick and effective solution when the electric energy is insufficient becomes a problem which is of great concern to users and manufacturers. The current major electric energy replenishment schemes include: a charging scheme and a battery replacement scheme. For the charging scheme, a charging gun connected with a power supply can be connected with a charging interface of a vehicle to charge a power battery on the vehicle, and the process is long in time consumption. For the battery replacement scheme, the power battery with insufficient power on the vehicle is directly replaced by the fully charged power battery, and the process is short in time consumption. Therefore, the battery replacement scheme can solve the problem of insufficient electric energy in a shorter time compared with the charging scheme, and is more favored by users and manufacturers.
For the battery replacement scheme, the battery replacement scheme is usually implemented by a battery replacement station providing a battery operation service, so that the power battery performs circulation scheduling in the vehicle. As shown in fig. 1, the power battery is stored in a battery compartment in the battery replacement station, and the vehicle realizes battery replacement at the battery replacement platform. However, in the prior art, when the battery replacement station replaces batteries, batteries are randomly selected, which may cause some batteries to be overused, and some batteries have too low use frequency, thereby causing uneven performance of the batteries in the battery replacement station, and simultaneously, this may also affect the use experience of the user, and when the user uses a battery with poor performance, the user may affect the evaluation of the battery replacement station, and then abandons the battery replacement at the battery replacement station in the future, thereby affecting the operation efficiency of the battery.
Disclosure of Invention
The invention provides a matching method, a device and a system of a vehicle and a battery and a readable storage medium, which are used for solving the problems that the performance difference of the battery in a battery replacement station is larger and the operation efficiency of the battery is influenced due to a battery replacement strategy in the prior art to a certain extent.
In a first aspect of the present invention, there is provided a vehicle-to-battery matching method, including:
obtaining a prediction result of future use behaviors of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement;
and according to the prediction result, determining a target matched battery to be replaced on the vehicle to be replaced in the matched batteries in the target battery replacing station.
Optionally, the determining, according to the prediction result, to replace the target matched battery on the vehicle to be replaced in the matched battery in the target battery replacement station includes:
evaluating the variation of the target parameter of each matched battery in the target battery replacement station according to the prediction result; wherein, the variation of the target parameter is: if the matched battery is replaced to the vehicle to be replaced at this time, the target parameter of the matched battery is changed by a variable quantity when the vehicle to be replaced is replaced next time compared with the current time;
and determining a target matched battery to be replaced on the vehicle to be replaced in the matched batteries in the target battery replacing station according to the variable quantity of the target parameter.
Optionally, the target parameter includes: at least one of a detectable degree of battery potential risk, a degree of battery health decay, and a rate of battery health decay.
Optionally, the determining, according to the variation of the target parameter, a target matched battery to be replaced on the vehicle to be replaced in the matched batteries in the target battery replacement station includes:
sorting each matched battery in the target power changing station according to the variable quantity of the target parameter;
and determining the target matching battery according to the sorting sequence of the matching batteries.
Optionally, before the obtaining of the prediction result of the future use behavior of the vehicle with the battery replacement after the current battery replacement to the next battery replacement, the method for matching a vehicle with a battery further includes:
and predicting the future use behavior of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement according to the historical use behavior data and the current position information of the vehicle to be subjected to battery replacement, and obtaining the prediction result.
Optionally, the future usage behavior comprises: the time and the place of the next power change, the accumulated driving mileage and the accumulated handling capacity required for the use of the power battery after the power change until the next power change, and the charging behavior, the driving behavior and the parking behavior after the power change until the next power change.
Optionally, the target battery replacement station is a battery replacement station where the vehicle to be replaced is currently located, or a battery replacement station within a preset range of a current position of the vehicle to be replaced.
Optionally, when the target battery replacement station is a battery replacement station within a preset range of the current position of the vehicle to be replaced, after determining to replace the target matched battery on the vehicle to be replaced, the method for matching the vehicle with the battery further includes:
sending recommendation information to target terminal equipment;
wherein the recommendation information includes: the target matches the name and the geographic position of the battery changing station where the battery is located.
In a second aspect of the present invention, there is provided a vehicle-to-battery matching apparatus including:
the acquisition module is used for acquiring a prediction result of future use behaviors of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement;
and the determining module is used for determining a target matched battery to be replaced on the vehicle to be replaced from matched batteries in the target battery replacing station according to the prediction result obtained by the determining module.
Optionally, the determining module includes:
the evaluation unit is used for evaluating the variation of the target parameter of each matched battery in the target battery replacement station according to the prediction result; wherein, the variation of the target parameter is: if the matched battery is replaced to the vehicle to be replaced at this time, the target parameter of the matched battery is changed by a variable quantity when the vehicle to be replaced is replaced next time compared with the current time;
and the determining unit is used for determining a target matched battery to be replaced on the vehicle to be replaced in the matched batteries in the target battery replacing station according to the variable quantity of the target parameter.
Optionally, the target parameter includes: at least one of a detectable degree of battery potential risk, a degree of battery health decay, and a rate of battery health decay.
Optionally, the determining unit includes:
the sorting subunit is configured to sort, according to the variation of the target parameter, each matched battery in the target power swapping station;
and the determining subunit is used for determining the target matching battery according to the sorting sequence of the sorting subunit to the matching battery.
Optionally, the vehicle and battery matching device further includes:
and the prediction module is used for predicting the future use behavior of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement according to the historical use behavior data of the vehicle to be subjected to battery replacement and the current position information, and obtaining the prediction result.
Optionally, the future usage behavior comprises: the time and the place of the next power change, the accumulated driving mileage and the accumulated handling capacity required for the use of the power battery after the power change until the next power change, and the charging behavior, the driving behavior and the parking behavior after the power change until the next power change.
Optionally, the target battery replacement station is a battery replacement station where the vehicle to be replaced is currently located, or a battery replacement station within a preset range of a current position of the vehicle to be replaced.
Optionally, in a case that the target battery replacement station is a battery replacement station within a preset range of a current position of the vehicle to be replaced, the device for matching a vehicle and a battery further includes:
the sending module is used for sending the recommendation information to the target terminal equipment;
wherein the recommendation information includes: the target matches the name and the geographic position of the battery changing station where the battery is located.
In a third aspect of the embodiments of the present invention, there is provided a vehicle and battery matching system including: a memory storing a computer program which, when executed by the processor, implements the steps in the vehicle-to-battery matching method according to the first aspect.
In a fourth aspect of the embodiments of the present invention, there is provided a computer-readable storage medium on which a computer program is stored, the computer program, when executed by a processor, implementing the steps in the vehicle-to-battery matching method according to the first aspect.
Aiming at the prior art, the invention has the following advantages:
in the embodiment of the invention, before the power change of the vehicle, the power battery to be changed to the vehicle is determined in the target power change station according to the predicted future use behavior of the vehicle. Different using behaviors of the vehicle have different influences on the performance of the power battery, so that the power battery can be replaced to the vehicle which is favorable for optimizing the performance of the power battery according to the future using behaviors of the vehicle, the power battery is better used, the difference of the performance of the power battery in the battery replacing station is favorably reduced, and the performance of the power battery in the battery replacing station is balanced. The more balanced the performance of the power battery in the battery replacement station, the more favorable the user can use the power battery with better performance, the use experience of the user is improved, the return rate of the user is improved, and the operation efficiency of the battery is further improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments will be briefly described below.
Fig. 1 is a schematic structural diagram of a swapping station in the prior art;
FIG. 2 is a schematic flow chart illustrating a method for matching a vehicle with a battery according to an embodiment of the present invention;
fig. 3 is one of block diagrams of a vehicle and battery matching apparatus according to an embodiment of the present invention;
fig. 4 is a second block diagram of a matching device for a vehicle and a battery according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 2 is a schematic flowchart of a method for matching a vehicle and a battery according to an embodiment of the present invention, where the method for matching a vehicle and a battery is applicable to a server, and also applicable to other electronic devices (e.g., terminal devices in a battery replacement station).
As shown in fig. 2, the vehicle and battery matching method may include:
step 201: and obtaining a prediction result of future use behaviors of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement.
The electric vehicle to be replaced in this step is an electric vehicle powered by a power battery, and the types of the electric vehicle to be replaced may include, but are not limited to: electric-only vehicles, electromechanical hybrid vehicles, fuel cell vehicles, and the like.
The future use behavior described in this step includes behavior that can affect the performance of the power battery.
Step 202: and according to the prediction result, determining a target matched battery to be replaced on the vehicle to be replaced from the matched batteries in the target replacing station.
The matched battery is a power battery matched with the vehicle to be changed. At present, batteries of different models and specifications are flexibly assembled in a plurality of vehicle types, but batteries of all models and specifications are not supported, so that a power battery matched with a vehicle to be replaced needs to be determined, and the determination can be specifically carried out according to information such as the product model of the vehicle to be replaced.
After the prediction result of the future use behavior of the vehicle to be subjected to battery replacement is obtained in step 101, the current step determines that the current battery replacement is performed on the target matched battery on the vehicle to be subjected to battery replacement in the matched battery in the target battery replacement station according to the prediction result.
In the embodiment of the invention, before the power change of the vehicle, the power battery to be changed to the vehicle is determined in the target power change station according to the prediction result of the future use behavior of the vehicle. Different using behaviors of the vehicle have different influences on the performance of the power battery, for example, good using behaviors can prolong the service life of the power battery and improve the performance of the power battery; the service life of the power battery can be shortened and the performance of the power battery can be reduced due to poor use behaviors, so that the performance of the power battery can be influenced by future use behaviors of the vehicle, and therefore the power battery can be replaced to the vehicle which is favorable for optimizing the performance of the power battery according to the future use behaviors of the vehicle, the power battery is better used, the difference of the performance of the power battery in the battery replacing station is favorably reduced, and the performance of the power battery in the battery replacing station is balanced. The more balanced the performance of the power battery in the battery replacement station, the more beneficial the balance of the battery operation stress, and the better performance of the power battery used by the user, the improved user experience, the improved user return rate, and the improved battery operation efficiency.
Optionally, when the technical scheme provided by the embodiment of the invention is applied to a server, after the target matching battery is determined, the server may send the vehicle-electricity matching information to the battery swapping station, so that a battery swapping device (such as a battery swapping robot) in the battery swapping station or a worker may replace the target matching battery to a vehicle to be battery swapped. Wherein, can include in the car electricity matching information: the method comprises the steps that information (such as license plate number, vehicle color, vehicle model and the like) of a vehicle to be replaced and information (such as battery number information) of a target matching battery are obtained, so that battery replacing equipment of a battery replacing station can know which battery is replaced to which vehicle to be replaced.
Optionally, step 102: determining, from the prediction result, to replace the target matching battery on the vehicle to be replaced, among the matching batteries in the target battery replacement station, may include:
evaluating the variation of the target parameter of each matched battery in the target battery replacement station according to the prediction result; and according to the variable quantity of the target parameter, determining a target matched battery to be replaced on the vehicle to be replaced in the matched batteries in the target battery replacing station.
The variation of the target parameter described here is: and if the matched battery is replaced on the vehicle to be replaced at the current time, the target parameter of the matched battery is changed by a variable quantity when the vehicle to be replaced is replaced next time compared with the current time.
Since the use behavior of the vehicle to be replaced can affect some performance parameters (namely target parameters) of the power battery, for each power battery matched with the vehicle to be replaced in the target battery replacement station, the influence of the future use behavior of the vehicle to be replaced on the target parameters can be evaluated based on the future use behavior of the vehicle to be replaced after the current battery replacement is carried out on the vehicle to be replaced, and the change of the target parameters can be caused. And then according to the evaluation result (namely the obtained variation of the target parameter), determining that the current battery replacement is replaced to the target matched battery on the vehicle to be replaced in the matched batteries in the target battery replacement station. Because the performance parameters are directly related to the performance of the power battery, the future use behavior of the vehicle to be replaced is evaluated, the change quantity possibly generated by the target parameters of the power battery can be used for better determining the influence of the future use behavior of the vehicle to be replaced on the performance of the power battery, and therefore a proper power battery is selected to be replaced on the vehicle to be replaced.
Optionally, the aforementioned target parameters may include: at least one of a detectable degree of battery potential risk, a degree of battery health decay, and a rate of battery health decay. The following further explains how to estimate the variation of the target parameter according to the prediction result of the future use behavior of the electric vehicle to be replaced, with respect to the three parameters described herein.
Detectable degree of battery hidden danger: the second accumulated working condition type of each matched battery in the second state can be predicted according to the future use behavior of the vehicle to be charged; then, according to the second accumulated working condition type of each matched battery, estimating to obtain the detectable degree of the second battery hidden danger of each matched battery in the second state; and finally, subtracting the detectable degree of the second battery hidden trouble from the detectable degree of the second battery hidden trouble to obtain a difference value, and taking the difference value as the variation of the detectable degree of the battery hidden trouble of each matched battery in the second state compared with the battery hidden trouble of the first state.
The first state is the current state of the matched battery, and the second state is the state of the matched battery when the matched battery is replaced for the next time on the vehicle to be replaced if the matched battery is replaced for the current time on the vehicle to be replaced.
Different using behaviors of the vehicle correspond to different using working conditions of the power battery. And under different use conditions of the power battery, different faults of the power battery can be detected. For example, three types of faults a, b and c can be detected when a direct current fast charging behavior is performed, and three types of faults x, y and z can be detected when an alternating current slow charging behavior is performed. The more the vehicle is used, the higher the detectable degree of the battery hidden trouble of the power battery is. If the future use behavior of the vehicle to be replaced comprises charging by adopting a direct-current quick charging mode, the power battery is mounted on the vehicle to be replaced, and the potential hazard detectable degree of the power battery can be improved. It follows that future usage behaviour of the vehicle may have an effect on the detectable level of potential risk of the power cell.
For the degree of battery health decay and the rate of battery health decay: obtaining a first accumulated use condition of each matched battery from a first state to a second state according to the prediction result; then determining a third accumulated use condition of each matched battery from factory to a second state according to the first accumulated use condition and a second accumulated use condition of each matched battery in the first state; then, according to the third accumulated use condition, evaluating the second health degree of each matched battery in the second state; finally, according to the first health degree of the matched battery in the first state and the second health degree of the matched battery in the second state, the variation of the attenuation degree of the battery health degree of each matched battery in the second state compared with the first state and the variation of the attenuation rate of the battery health degree can be calculated. The first accumulated use condition of the matched battery in the first state is the accumulated use condition of the matched battery from factory to current.
For example, if the first health degree is represented by SOH _ t0, and the first health degree decay rate is represented by SOH _ rate _ t0, then SOH _ rate _ t0 is (100% -SOH _ t0)/l 0. Where l0 is the calendar length (i.e., total number of days) that matches the battery's current time from factory shipment. The second health degree is represented by SOH _ t1, the second health degree decay rate is represented by SOH _ rate _ t1, and SOH _ rate _ t1 is (100% -SOH _ t1)/l1, where l1 is a calendar time length (i.e. total days) matching the battery from factory to the next battery replacement of the vehicle to be replaced. The amount of change in the degree of decay of the matched battery in the second state as compared to the state of health of the battery in the first state is: SOH _ t1-SOH _ t0, the amount of change in the decay rate of the matched battery in the second state compared to the battery health in the first state is: SOH _ rate _ t1-SOH _ rate _ t 0.
For the State of Health (SOH for short) of a power battery, the State of Health of the power battery is generally 100% when the power battery leaves a factory, and the State of Health gradually decreases with subsequent use. The attenuation degree and the attenuation rate of the health degree influence the service time of the power battery. The power battery has good use habit, can delay the attenuation degree of the health degree, reduce the attenuation rate of the health degree and prolong the service time of the battery; otherwise, the attenuation degree of the health degree is accelerated, the attenuation rate of the health degree is increased, and the service time of the battery is ended in advance. It follows that future usage behavior of the vehicle may also have an impact on the degree of health decay and the rate of health decay of the power battery.
Optionally, the foregoing steps: according to the variation of the target parameter, determining a target matched battery to be replaced on the vehicle to be replaced from matched batteries in the target battery replacing station, may include: sorting each matched battery in the target battery replacement station according to the variable quantity of the target parameter; and determining the target matching battery according to the sorting sequence of the matching batteries.
The matching batteries are sorted according to the variable quantity of the target parameters, so that the ordering of the information of the matching batteries can be improved, and the required target matching batteries can be better selected from the matching batteries.
Wherein, the variation of the target parameter has a positive and negative score, and different parameters have different positive and negative meanings of the variation.
For example, the detectable degree of the hidden danger of the battery is positive, which indicates that the detectable degree is improved and the performance is better; the amount of change is negative, indicating a decrease in detectability and a deterioration in performance. In the case that the target parameter only includes the detectable degree of the hidden danger of the battery, the target parameter may be sorted in the order of the variation of the detectable degree of the hidden danger from large to small. For the matched battery arranged at the first position, after the matched battery is charged to a vehicle to be charged, the variable quantity of the detectable degree of the hidden danger is maximum, the diversity of the operation conditions of the battery can be enriched, and the pre-identification rate of the hidden danger of the battery is improved, so that the matched battery can be determined as a target matched battery, the detectable degree of the hidden danger of the matched battery is adjusted to the maximum extent, and the battery fault is identified better. Of course, it can be understood that matched batteries arranged in other positions can be selected as target matched batteries, and the specific situation can be selected according to actual requirements.
For another example, for the decay rate of the battery health degree, the variation is a positive number, which indicates that the decay rate of the battery health degree is increased and the performance is deteriorated; the variation is negative, which shows that the decay rate of the health degree of the battery is reduced and the performance is better. In the case where the target parameter includes only the battery health degree decay rate, the target parameter may be sorted in the order of the change amount of the health degree decay rate from small to large. For the matched battery arranged at the first position, the change quantity of the health degree attenuation rate of the matched battery is the minimum after the matched battery is charged to the vehicle to be charged, so that the matched battery can be determined as the target matched battery, the health degree attenuation rate of the matched battery is reduced to the maximum extent, the battery attenuation is delayed better, the service life of the battery is prolonged, and the service efficiency of the full life cycle of the battery is improved. Of course, it can be understood that matched batteries arranged in other positions can be selected as target matched batteries, and the specific situation can be selected according to actual requirements.
Under the condition that the target parameters comprise at least two performance parameters of detectable degree of hidden danger of the battery, attenuation degree of health degree of the battery and attenuation rate of health degree of the battery, a weight value can be given to each performance parameter during sorting, then numerical values obtained by multiplying the variable quantity of each performance parameter by the corresponding weight value are summed, and sorting is carried out according to the numerical values obtained by summing. Of course, it is understood that the sorting may be performed in other manners, and the embodiment of the present invention is not limited thereto.
Optionally, step 102: determining, from the prediction result, to replace the target matching battery on the vehicle to be replaced, among the matching batteries in the target battery replacement station, may include:
acquiring a target power changing station for next power changing of the vehicle to be changed in the prediction result; and determining the required intensity of the target battery replacement station for each battery model of the matched battery, and determining the matched battery corresponding to the target battery model with the maximum required intensity as the target matched battery to be replaced on the vehicle to be replaced.
The battery replacement is performed where the vehicle frequently goes, and whether a power battery required by the vehicle exists in the battery replacement station or not affects the battery operation efficiency of the battery replacement station (which can also be understood as the battery operation benefit), so the future use behavior of the vehicle may also affect the operation efficiency of the power battery. In the embodiment of the invention, according to the demand intensity of the battery changing station for changing the battery of the vehicle to be changed next time, the matched battery corresponding to the target battery model with the maximum demand intensity is selected and determined as the target matched battery to be changed to the vehicle to be changed, so that the target matched battery can be taken to the target battery changing station when the vehicle to be changed is changed next time, the use requirement of a user is ensured, the renting rate of the battery is improved, and the operation efficiency of the battery changing station is further improved.
Optionally, in the embodiment of the application, a future use behavior of the vehicle to be charged after the current charge is changed to the next charge change can be predicted based on a historical use behavior of the vehicle to be charged.
The prediction result of the future use behavior of the vehicle to be switched from the current battery switching to the next battery switching can be obtained by predicting when the vehicle to be switched needs to be switched each time, namely, when the vehicle to be switched needs to be switched each time, the prediction of the future use behavior of the vehicle to be switched needs to be carried out once.
In addition, under the condition that the similarity between the historical use behavior of the vehicle to be subjected to power change from the last power change to the current power change and the historical use behavior of the vehicle to be subjected to power change from the last power change to the last power change is larger than or equal to a preset numerical value, the prediction result used in the last power change can be used as the prediction result required in the current power change. The future use behavior of the electric vehicle to be replaced can be predicted based on the historical use behavior of the electric vehicle to be replaced. Under the condition that the historical use behavior is not changed greatly, the prediction results of the future use behaviors are similar, so that under the condition that the historical use behaviors after the power change for the first two times before the current time (namely after the last power change to before the current time and before the last power change) are similar, the prediction result used in the last power change can be used as the prediction result required in the current time, and unnecessary prediction processing is reduced. The preset value is at least more than 50% and less than 100%, and the specific value can be selected according to the requirement of the prediction accuracy of the future use behavior. For example, if it is desired to improve the accuracy of the prediction of future usage behavior, a larger value, such as 90%, may be selected. If the requirement on the prediction accuracy of the future use behavior is not high, a smaller value, such as 70%, may be selected.
Optionally, in the case that a future use behavior needs to be predicted when the battery of the electric vehicle to be replaced is replaced each time, in step 201: before obtaining a prediction result of a future use behavior of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement, the matching method of the vehicle and the battery may further include:
and predicting the future use behavior of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement according to the historical use behavior data and the current position information of the vehicle to be subjected to battery replacement, and obtaining a prediction result.
In the using process of the vehicle, the using behavior data can be reported to the server, so that the historical using behavior data of the vehicle to be replaced is stored in the server. In addition, the server can also acquire the current position information of the vehicle to be changed.
Generally, the use behavior rule of the vehicle can be obtained by analyzing the historical use behavior of the vehicle, so that the future use behavior of the vehicle can be predicted according to the use behavior rule of the vehicle. And some future use behaviors of the vehicle can be predicted according to the current position of the vehicle, and if the vehicle runs on an expressway currently, the vehicle can predict which power exchanging station the vehicle will exchange power according to the cruising range of a power battery on the vehicle and the distribution situation of the power exchanging stations along the way. Historical use behavior data of the electric vehicle to be converted reflects the use behavior rule of the vehicle, so that the future behavior is predicted, and the prediction result can be more accurate. The current position of the vehicle to be replaced can reflect the possible behavior of the vehicle to be replaced in a short time, so that the accuracy of the prediction result can be further improved.
Optionally, in this embodiment of the present invention, the predicted future usage behavior may include: the time and the place of the next battery replacement of the vehicle to be replaced, the accumulated driving mileage and the accumulated handling capacity required by the power battery for the use of the vehicle to be replaced after the current battery replacement until the next battery replacement, and the charging behavior, the driving behavior and the parking behavior of the vehicle to be replaced after the current battery replacement until the next battery replacement.
After the time and the place of the next battery replacement of the vehicle to be replaced are obtained through prediction, the battery replacement requirements of each battery replacement station can be obtained, so that the battery is scheduled based on the battery replacement requirements of each battery replacement station, the requirement for using the battery as required is met, and the operation efficiency of the battery is improved. After the accumulated driving mileage and the accumulated handling electric quantity required for the use of the power battery after the current battery replacement to before the next battery replacement are predicted, and the charging behavior, the driving behavior and the parking behavior after the current battery replacement to before the next battery replacement are predicted, the variation of parameters such as the detectable degree of the hidden danger of the power battery, the attenuation degree of the health degree of the battery, the attenuation rate of the health degree of the battery and the like can be evaluated based on the using behaviors, so that the scheduling of the battery is carried out based on the variation of the parameters, the difference of the power battery in the battery replacement station on the target parameter is reduced, and the performance of the power battery in the battery replacement station is balanced.
In order to better understand how to predict the future use behavior of the vehicle with the battery replacement function from the current battery replacement to the next battery replacement according to the historical use behavior data and the current position information of the vehicle with the battery replacement function, the following further explains.
Under the condition that the vehicle to be subjected to power change is not located on the expressway or is not located in a service station of the expressway, if the power change time is 5/1/2020 year, the power change frequency of the vehicle to be subjected to power change is five days according to the historical use behavior data of the vehicle to be subjected to power change, namely, the power change is performed once every five days, and then the next power change time can be predicted to be 5/7/2020 year. In addition, according to the historical use behavior data of the vehicles to be switched, the power switching stations which the vehicles to be switched go to are sorted according to the going-to frequency, and the power switching station with the highest going-to frequency can be predicted as the next power switching place.
After the next time of battery replacement is predicted, the accumulated driving mileage and the accumulated handling capacity required by the power battery from the current battery replacement of the vehicle to be replaced to the next battery replacement can be predicted according to the historical use behavior data of the vehicle to be replaced. If the accumulated travel distance of the vehicle to be switched per day is 50 kilometers according to the historical use behavior data of the vehicle to be switched, the accumulated travel distance of the vehicle to be switched in the total days from the current time to the next time can be predicted, for example: in 7 days from 1/5/2020 to 7/5/2020, the accumulated travel distance is: 50 x 7 is 350 km, so that the accumulated endurance mileage of the required power battery is predicted to be 350 km in the 7 days. Of course, the predicted accumulated endurance mileage of the power battery may also be slightly larger than 350 km, for example, 370 km, so as to leave a margin. After the accumulated endurance mileage of the power battery is predicted, the accumulated throughput capacity of the power battery under the accumulated endurance mileage can be predicted accordingly.
According to the historical use behavior data of the vehicle with the battery replacement function, the charging behavior, the driving behavior, the parking behavior and the like of the vehicle with the battery replacement function from the current battery replacement to the next battery replacement can be predicted. For example, according to the historical charging behavior of the vehicle to be charged, the charging behavior from the current charging to the next charging is predicted, such as the total charging times, the charging times in a direct current fast charging mode, the charging times in an alternating current slow charging mode, and the like. For example, the driving behavior from the present time to the next time before the battery replacement, such as how fast the vehicle is driven, whether the vehicle is driven gently or by bump, is predicted from the historical driving behavior of the vehicle to be replaced. For another example, according to the historical parking behavior of the vehicle to be charged, the parking behavior from the current charging to the next charging is predicted, such as how long the parking time is each time, how long the total parking time is, and the like.
Under the condition that the vehicle to be switched is on the expressway or in a service station of the expressway, if the vehicle to be switched is currently in an A service area and the battery switching station a to be in the A service area is to be switched, the possible battery switching stations to be approached can be determined to be sequentially from far to near according to the driving direction and the destination of the vehicle to be switched: the current position of the vehicle to be charged is 250 kilometers away from the b charging station and 300 kilometers away from the c charging station. The driving direction and the destination of the electric vehicle to be replaced can be obtained through a vehicle-mounted navigation system or a mobile phone navigation system.
According to the product model of the vehicle to be replaced, the power battery matched with the vehicle to be replaced can be determined, and according to historical battery replacement data (such as the model and the specification of the power battery with the largest use frequency) of the vehicle to be replaced, the model and the specification of the power battery for the current battery replacement of the vehicle to be replaced can be predicted. Due to the particularity of the current position of the vehicle to be replaced, the possibility of directly replacing the power battery after the power battery replaced at this time is in power shortage is higher, so that the accumulated driving mileage and the accumulated handling capacity required by the use of the power battery from the current time of replacing the power battery to the next time of replacing the power battery can be predicted. Because the possibility of directly replacing the power battery is higher, the charging behavior probably does not exist after the current battery replacement and before the next battery replacement. And according to the historical driving behavior and the historical parking behavior of the vehicle to be charged on the expressway, the driving behavior (such as driving speed and the like) and the parking behavior (such as how long the parking time is each time, how long the parking total time is and the like) from the current charging to the next charging can be predicted.
And supposing that the driving distance of the vehicle to be subjected to battery replacement supported by the driving distance is estimated to be 280 kilometers according to the predicted driving distance after the battery replacement, obviously, the driving distance can support the vehicle to be subjected to battery replacement to drive to the battery replacement station b, but not support the vehicle to be subjected to battery replacement to drive to the battery replacement station c, so that the next battery replacement site can be predicted to be the battery replacement station b. After the power change place is predicted, the required time from the current position to the power change station b can be predicted according to the historical driving speed of the vehicle to be changed on the expressway, and if the historical average road speed of the vehicle to be changed is determined to be 100 km/h according to the historical driving speed, the next power change time can be 2.5 hours later.
In general, the future use behaviors of the electric vehicle to be replaced are predicted, and the use condition of the power battery is actually predicted, so that the influence of the use behaviors on the power battery is evaluated.
It should be noted that the foregoing description is only for illustration and is not a specific limitation on the technical solution provided by the embodiment of the present invention, and how to predict the future use behavior of the electric vehicle to be replaced may also be implemented in other realizable manners.
Alternatively, for step 202, when the variation of the target parameter of each matched battery in the target battery swapping station is estimated according to the prediction result, an estimation table may be preset, in which multiple kinds of use behavior information (such as charging behavior, driving behavior, parking behavior, and the like) of the vehicle are included, and for different degrees of each use behavior, the degree of influence on the target parameter is set, such as the degree of influence on the target parameter in the case that the charging time period is 1 hour, 3 hours, and 5 hours, respectively. According to the evaluation table, the influence result of each future use behavior of the electric vehicle to be converted on the target parameter can be obtained. In addition, different using behaviors of the vehicle can be endowed with a weight value, and finally, a comprehensive influence result can be obtained according to the weight ratio of the influence degree of each using behavior on the target parameter, so that the variation of the target parameter is obtained.
It should be understood that the foregoing embodiment is only one implementation manner, and may also be implemented in other implementation manners, which are not limited by the embodiment of the present invention.
Optionally, the target battery replacement station in the embodiment of the present invention may be a battery replacement station where the vehicle to be replaced is currently located, or may be a battery replacement station within a preset range of a current position of the vehicle to be replaced. When the target power exchanging station is a power exchanging station within a preset range of the current position of the vehicle to be switched, the number of the power exchanging stations included in the target power exchanging station is at least one.
That is, when the electric vehicle to be replaced arrives at the battery replacement station, matching between the vehicle and the battery may be performed for a matching battery in the battery replacement station where the electric vehicle to be replaced is located. Or when the vehicle to be switched does not reach the battery changing station, determining the battery changing station within a preset range of the current position of the vehicle to be switched according to the current position of the vehicle to be switched, and then matching the vehicle and the battery according to the matched battery in the battery changing station within the preset range.
Optionally, in a case that the target battery replacement station is a battery replacement station within a preset range of the current position of the vehicle to be replaced, after determining to replace the target matched battery on the vehicle to be replaced, the method for matching the vehicle with the battery further includes: and sending the recommendation information to the target terminal equipment.
The recommendation information described herein may include: the target matches the name and the geographic position of the battery swapping station where the battery is located. The target terminal device described herein may include, but is not limited to: in-vehicle electronic devices, cell phones, tablet computers, notebook computers, palm top computers, wearable devices, netbooks, or personal digital assistants, and the like.
In the embodiment of the invention, after the target matching battery is determined in the battery replacement station within the preset range of the current position of the vehicle to be replaced, the recommendation information can be sent to the target terminal equipment, such as the user mobile phone or the vehicle-mounted computer on the vehicle to be replaced, so that the user is guided to go to the battery replacement station where the target matching battery is located for battery replacement, and the probability that the user goes to the battery replacement station where the target matching battery is located is improved. In addition, the target matched battery is determined in a larger range, more battery replacement stations can be considered, and the performances of the batteries in the plurality of battery replacement stations are balanced.
Optionally, when the user wants to swap batteries of the vehicle, the user may start a battery swapping application program (hereinafter referred to as a battery swapping APP) in the target terminal device, and view the battery swapping stations around the current position in the battery swapping APP. When a user determines to replace the battery of the vehicle, a battery replacement request can be triggered in a battery replacement APP, the target terminal device sends the battery replacement request to the server, and the server performs vehicle-electricity matching according to the battery replacement request to determine a target matched battery.
The above is a description of a matching method of a vehicle and a battery according to an embodiment of the present invention.
As can be seen from the above description, in the embodiment of the present invention, before the power change of the vehicle, the power battery to be changed to the vehicle is determined in the target power change station according to the prediction result of the future use behavior of the vehicle. Different using behaviors of the vehicle have different influences on the performance of the power battery, so that the power battery can be replaced to the vehicle which is favorable for optimizing the performance of the power battery according to the future using behaviors of the vehicle, the power battery is better used, the difference of the performance of the power battery in the battery replacing station is favorably reduced, and the performance of the power battery in the battery replacing station is balanced. The more balanced the performance of the power battery in the battery replacement station, the more favorable the user can use the power battery with better performance, the use experience of the user is improved, the return rate of the user is improved, and the operation efficiency of the battery is further improved.
The matching method of the vehicle and the battery provided by the embodiment of the invention is described in detail above, and the following description is continued with the matching device of the vehicle and the battery provided by the embodiment of the invention.
Fig. 3 is a schematic block diagram of a matching device for a vehicle and a battery according to an embodiment of the present invention, where the matching device for a vehicle and a battery may be applied to a server, and may also be applied to other electronic devices (e.g., a terminal device in a battery replacement station), and the like.
As shown in fig. 3, the vehicle-to-battery matching apparatus 300 includes:
the obtaining module 301 is configured to obtain a prediction result of a future use behavior of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement.
A determining module 302, configured to determine, according to the prediction result obtained by the determining module 301, a target matched battery to be replaced on the vehicle to be replaced, from among matched batteries in the target battery replacement station.
Optionally, as shown in fig. 4, the determining module 302 includes:
an evaluation unit 3021 configured to evaluate a variation amount of the target parameter of each matched battery in the target battery swapping station according to the prediction result.
Wherein, the variation of the target parameter is: and if the matched battery is replaced to the vehicle to be replaced at this time, the target parameter of the matched battery is changed by a variable quantity when the vehicle to be replaced is replaced next time compared with the current battery replacement.
A determining unit 3022, configured to determine, according to the amount of change in the target parameter, a target matched battery to be replaced on the vehicle to be replaced, from among matched batteries in the target battery replacement station.
Optionally, the target parameter includes: at least one of a detectable degree of battery potential risk, a degree of battery health decay, and a rate of battery health decay.
Optionally, the determining unit 3022 includes:
a sorting subunit 30221, configured to sort, according to the variation of the target parameter, each of the matched batteries in the target swapping station.
A determining subunit 30222, configured to determine the target matching battery according to the sorting order of the matching batteries by the sorting subunit 30221.
Optionally, as shown in fig. 4, the vehicle-to-battery matching apparatus 300 further includes:
the prediction module 303 is configured to predict a future use behavior of the vehicle with the battery replacement function after the current battery replacement to the next battery replacement according to the historical use behavior data of the vehicle with the battery replacement function and the current position information, and obtain the prediction result.
Optionally, the future usage behavior comprises: the time and the place of the next power change, the accumulated driving mileage and the accumulated handling capacity required for the use of the power battery after the power change until the next power change, and the charging behavior, the driving behavior and the parking behavior after the power change until the next power change.
Optionally, the target battery replacement station is a battery replacement station where the vehicle to be replaced is currently located, or a battery replacement station within a preset range of a current position of the vehicle to be replaced.
Optionally, as shown in fig. 4, in a case that the target battery swapping station is a battery swapping station within a preset range of a current position of the vehicle to be swapped, the vehicle and battery matching apparatus 300 further includes:
a sending module 304, configured to send the recommendation information to the target terminal device.
Wherein the recommendation information includes: the target matches the name and the geographic position of the battery changing station where the battery is located.
In the embodiment of the invention, before the power change of the vehicle, the power battery to be changed to the vehicle is determined in the target power change station according to the prediction result of the future use behavior of the vehicle. Different using behaviors of the vehicle have different influences on the performance of the power battery, so that the power battery can be replaced to the vehicle which is favorable for optimizing the performance of the power battery according to the future using behaviors of the vehicle, the power battery is better used, the difference of the performance of the power battery in the battery replacing station is favorably reduced, and the performance of the power battery in the battery replacing station is balanced. The more balanced the performance of the power battery in the battery replacement station, the more favorable the user can use the power battery with better performance, the use experience of the user is improved, the return rate of the user is improved, and the operation efficiency of the battery is further improved.
For the embodiment of the matching device between the vehicle and the battery, since it is basically similar to the embodiment of the matching method between the vehicle and the battery, the relevant points may be referred to only in the description of the method embodiment, and in order to avoid repetition, the detailed description is omitted in the embodiment of the matching device between the vehicle and the battery.
According to an aspect of an embodiment of the present invention, there is also provided a vehicle and battery matching system including: the memory stores a computer program, and the computer program is executed by the processor to implement the processes in the embodiment of the matching method for the vehicle and the battery, and can achieve the same technical effect.
According to another aspect of the embodiments of the present invention, there is further provided a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the processes in the above-mentioned embodiments of the method for matching a vehicle and a battery, and can achieve the same technical effects, and in order to avoid repetition, the details are not repeated here. The computer-readable storage medium described herein may be any type of component, module or device capable of storing a program or instructions and may include, but is not limited to, for example, Read Only Memory (ROM), Random Access Memory (RAM), Erasable Programmable Read Only Memory (EPROM), a usb disk, a magnetic disk, and the like.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (14)

1. A vehicle and battery matching method is characterized by comprising the following steps:
obtaining a prediction result of future use behaviors of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement;
evaluating the variation of the target parameter of each matched battery in the target battery replacement station according to the prediction result; wherein the target parameters include: at least one of a detectable degree of potential battery hazard, a degree of decay of battery health, and a rate of decay of battery health; the variation of the target parameter is as follows: if the matched battery is replaced to the vehicle to be replaced at this time, the target parameter of the matched battery is changed by a variable quantity when the vehicle to be replaced is replaced next time compared with the current time;
and determining a target matched battery to be replaced on the vehicle to be replaced in the matched batteries in the target battery replacing station according to the variable quantity of the target parameter.
2. The vehicle-battery matching method according to claim 1, wherein the determining, according to the variation of the target parameter, to replace the target matched battery on the vehicle to be replaced in the matched batteries in the target battery replacement station includes:
sorting each matched battery in the target power changing station according to the variable quantity of the target parameter;
and determining the target matching battery according to the sorting sequence of the matching batteries.
3. The vehicle and battery matching method according to claim 1, wherein before the obtaining of the prediction result of the future use behavior of the vehicle to be charged after the current charge to the next charge, the vehicle and battery matching method further comprises:
and predicting the future use behavior of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement according to the historical use behavior data and the current position information of the vehicle to be subjected to battery replacement, and obtaining the prediction result.
4. The vehicle-to-battery matching method according to claim 1, wherein the future use behavior includes: the time and the place of the next power change, the accumulated driving mileage and the accumulated handling capacity required for the use of the power battery after the power change until the next power change, and the charging behavior, the driving behavior and the parking behavior after the power change until the next power change.
5. The vehicle and battery matching method according to claim 1, wherein the target battery replacement station is a battery replacement station where the vehicle to be replaced is currently located, or a battery replacement station within a preset range of a current position of the vehicle to be replaced.
6. The vehicle-battery matching method according to claim 5, wherein in a case where the target battery replacement station is a battery replacement station within a preset range of a current location of the vehicle to be replaced, after determining to replace a target matching battery on the vehicle to be replaced, the vehicle-battery matching method further comprises:
sending recommendation information to target terminal equipment;
wherein the recommendation information includes: the target matches the name and the geographic position of the battery changing station where the battery is located.
7. A vehicle-to-battery matching device, characterized by comprising:
the acquisition module is used for acquiring a prediction result of future use behaviors of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement;
the determining module is configured to determine, according to the prediction result obtained by the determining module, a target matched battery to be replaced on the vehicle to be replaced among matched batteries in a target battery replacement station, and includes:
the evaluation unit is used for evaluating the variation of the target parameter of each matched battery in the target battery replacement station according to the prediction result; wherein the target parameters include: at least one of a detectable degree of potential battery hazard, a degree of decay of battery health, and a rate of decay of battery health; the variation of the target parameter is as follows: if the matched battery is replaced to the vehicle to be replaced at this time, the target parameter of the matched battery is changed by a variable quantity when the vehicle to be replaced is replaced next time compared with the current time;
and the determining unit is used for determining a target matched battery to be replaced on the vehicle to be replaced in the matched batteries in the target battery replacing station according to the variable quantity of the target parameter.
8. The vehicle-to-battery matching apparatus according to claim 7, wherein the determination unit includes:
the sorting subunit is configured to sort, according to the variation of the target parameter, each matched battery in the target power swapping station;
and the determining subunit is used for determining the target matching battery according to the sorting sequence of the sorting subunit to the matching battery.
9. The vehicle-to-battery matching device according to claim 7, further comprising:
and the prediction module is used for predicting the future use behavior of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement according to the historical use behavior data of the vehicle to be subjected to battery replacement and the current position information, and obtaining the prediction result.
10. The vehicle-to-battery matching apparatus according to claim 7, wherein the future use behavior includes: the time and the place of the next power change, the accumulated driving mileage and the accumulated handling capacity required for the use of the power battery after the power change until the next power change, and the charging behavior, the driving behavior and the parking behavior after the power change until the next power change.
11. The matching device for the vehicle and the battery as claimed in claim 7, wherein the target battery replacement station is a battery replacement station where the vehicle to be replaced is currently located, or a battery replacement station within a preset range of a current position of the vehicle to be replaced.
12. The vehicle-battery matching device according to claim 11, wherein in a case where the target battery replacement station is a battery replacement station within a preset range of a current position of the vehicle to be replaced, the vehicle-battery matching device further comprises:
the sending module is used for sending the recommendation information to the target terminal equipment;
wherein the recommendation information includes: the target matches the name and the geographic position of the battery changing station where the battery is located.
13. A vehicle and battery mating system, comprising: memory storing a computer program which, when executed by the processor, carries out the steps in the vehicle-to-battery matching method according to any one of claims 1 to 6, and a processor.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps in the method of matching a vehicle and a battery according to any one of claims 1 to 6.
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