CN111775772A - 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
CN111775772A
CN111775772A CN202010676749.3A CN202010676749A CN111775772A CN 111775772 A CN111775772 A CN 111775772A CN 202010676749 A CN202010676749 A CN 202010676749A CN 111775772 A CN111775772 A CN 111775772A
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battery
vehicle
matched
health degree
decay rate
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CN111775772B (en
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叶磊
田维超
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Wuhan Weilai Energy Co ltd
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Wuhan Weilai Energy Co ltd
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Priority to TW110101230A priority patent/TW202202369A/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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
    • 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

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. 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; evaluating a second health degree of each matched battery in a second state according to the prediction result and the accumulated use condition of each matched battery in the target power change station in the first state; determining a second health degree attenuation rate which is closer to the matched battery with the maximum average attenuation rate compared with the first health degree attenuation rate according to the first health degree attenuation rate and the second health degree attenuation rate of each matched battery; and determining the matched battery approaching the maximum average decay rate as a target matched battery. The technical scheme provided by the embodiment of the invention can solve the problem of large performance difference of batteries in the battery replacement station caused by 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 vehicle battery replacement, in particular to a method, a device and a system for matching a vehicle and a 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 later, which affects 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;
evaluating the second health degree of each matched battery in the second state according to the prediction result and the accumulated use condition of each matched battery in the target power change station in the first state; the matched battery is a power battery matched with the vehicle to be changed; the first state is the current state of the matched battery; the second state is a state when the matched battery is used for the next time when the matched battery is used for the vehicle to be used for replacing the battery if the matched battery is used for replacing the battery on the vehicle to be used for replacing the battery at this time;
according to the first health degree decay rate and the second health degree decay rate of each matched battery, determining that the second health degree decay rate is closer to the matched battery with the highest average decay rate compared with the first health degree decay rate; wherein the first health degree decay rate is calculated according to the first health degree of the matched battery in the first state; the second health degree attenuation rate is calculated according to the second health degree;
and determining the matched battery with the maximum approaching average decay rate as a target matched battery to be replaced on the vehicle to be replaced.
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 evaluating a second health degree of each matched battery in a second state according to the prediction result and a first accumulated usage condition of each matched battery in the target power conversion station in the first state includes:
according to the prediction result, obtaining a second accumulated use condition of each matched battery from the first state to the second state;
determining a third accumulated use condition of each matched battery from factory to the second state according to the first accumulated use condition and the second accumulated use condition;
and evaluating the second health degree of each matched battery in the second state according to the third accumulated use condition.
Optionally, the determining, according to the first health degree decay rate and the second health degree decay rate of each of the matched batteries, that the second health degree decay rate approaches the matched battery with the highest average decay rate compared to the first health degree decay rate includes:
determining a first difference between the first health decay rate and the average decay rate for each of the matched batteries;
determining a second difference between the second health decay rate and the average decay rate for each of the matched batteries;
determining a difference between the first difference and the second difference for each of the matched batteries;
and determining the matched battery with the largest difference as the matched battery with the second health degree decay rate which is closer to the average decay rate to be the largest compared with the first health degree decay rate.
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;
the evaluation module is used for evaluating the second health degree of each matched battery in the second state according to the prediction result obtained by the obtaining module and the first accumulated use condition of each matched battery in the target power change station in the first state; the matched battery is a power battery matched with the vehicle to be changed; the first state is the current state of the matched battery; the second state is a state when the matched battery is used for the next time when the matched battery is used for the vehicle to be used for replacing the battery if the matched battery is used for replacing the battery on the vehicle to be used for replacing the battery at this time;
the first determination module is used for determining that the second health degree decay rate approaches the matched battery with the largest average decay rate compared with the first health degree decay rate according to the first health degree decay rate and the second health degree decay rate of each matched battery; wherein the first health degree decay rate is calculated according to the first health degree of the matched battery in the first state; the second health degree attenuation rate is calculated according to the second health degree;
and the second determination module is used for determining the matched battery which is determined by the first determination module and has the maximum approaching average decay rate as a target matched battery to be replaced on the electric vehicle to be replaced.
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 evaluation module comprises:
the obtaining unit is used for obtaining a second accumulated use condition of each matched battery from the first state to the second state according to the prediction result;
a first determining unit, configured to determine, according to the first cumulative usage and the second cumulative usage obtained by the obtaining unit, a third cumulative usage when each of the matched batteries is shipped to the second state;
and the evaluation unit is used for evaluating the second health degree of each matched battery in the second state according to the third accumulated use condition determined by the first determination unit.
Optionally, the evaluation module comprises:
the obtaining unit is used for obtaining a second accumulated use condition of each matched battery from the first state to the second state according to the prediction result;
a first determining unit, configured to determine, according to the first cumulative usage and the second cumulative usage obtained by the obtaining unit, a third cumulative usage when each of the matched batteries is shipped to the second state;
and the evaluation unit is used for evaluating the second health degree of each matched battery in the second state according to the third accumulated use condition determined by the first determination unit.
Optionally, the first determining module includes:
a second determination unit for determining a first difference between the first health decay rate and the average decay rate of each of the matched batteries;
a third determining unit for determining a second difference between the second health decay rate and the average decay rate of each of the matched batteries;
a fourth determination unit configured to determine a difference between the first difference and the second difference for each of the matched batteries;
a fifth determining unit, configured to determine the matched battery with the largest difference as the matched battery with the second health degree decay rate that is closer to the matched battery with the largest average decay rate than the first health degree decay rate.
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, when the vehicle is matched with the battery, the influence of the future use behavior of the vehicle on the health degree of the power battery is evaluated based on the behavior possibly occurring in the future of the vehicle, and further the health degree attenuation rate of the power battery when the vehicle to be replaced is replaced next time is obtained. And then according to the first health degree attenuation rate and the second health degree attenuation rate of each power battery, determining that the second health degree attenuation rate is closer to the matched battery with the highest average attenuation rate compared with the first health degree attenuation rate, and the matched battery with the highest average attenuation rate is closer to the matched battery as a target matched battery to be replaced on the vehicle to be replaced. The more the health degree attenuation rate of the matched battery approaches to the average attenuation rate, the more the health degree attenuation rate of the power battery is reduced, the more the attenuation rate of the power battery in the battery changing station is favorably balanced, and the difference of the health degree attenuation rate of the power battery in the battery changing station is reduced. In addition, the more balanced the health degree attenuation rate of the power battery in the battery replacement station, the more balanced the power battery with balanced performance can be used by the user, 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: an electric-only vehicle, an electromechanical hybrid vehicle, or a fuel cell vehicle, etc.
The future usage behavior described in this step includes a behavior that can affect the State of health (SOH for short) of the power battery. Generally, the health degree of a power battery is 100% when the power battery leaves a factory, and the health degree of the power battery gradually attenuates with subsequent use, so that the health degree attenuation of the power battery is related to the accumulated use condition of the power battery, and the use behavior of a vehicle directly affects the accumulated use condition of the power battery, so that the future use behavior of the vehicle may affect the health degree of the power battery.
Step 202: and evaluating the second health degree of each matched battery in the second state according to the prediction result and the accumulated use condition of each matched battery in the target power change station in the first state.
The matched battery in the step 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.
The first state described in this step is the current state of the matched battery. The second state in this step is a state when the matching battery is used for the next time when the electric power is changed for the electric vehicle to be changed if the matching battery is used for the electric power change to the electric vehicle to be changed this time. The first accumulated use condition of the matched battery in the first state is the accumulated use condition of the matched battery from factory delivery to current.
In the embodiment of the invention, for the vehicle to be charged, the server predicts the future use behavior of the vehicle to be charged from the current charging to the next charging, and the predicted future use behavior influences the accumulated use condition of the matched batteries and further influences the health degree of the matched batteries, so that the second health degree of each matched battery at the next charging of the vehicle to be charged can be evaluated according to the predicted future use behavior and the current accumulated use state of the matched batteries.
Step 203: and determining the matched battery with the maximum average decay rate compared with the first decay rate of the health degree according to the first decay rate of the health degree and the second decay rate of each matched battery.
The first health degree decay rate in this step is calculated according to the first health degree of the matched battery in the first state. 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 decay rate in this step is calculated according to the second health degree of the matched battery in the second state. For example, if the second health degree is represented by SOH _ t1, and the second health degree decay rate is represented by SOH _ rate _ t1, then SOH _ rate _ t1 is (100% -SOH _ t1)/l 1. Wherein l1 is a calendar time length (i.e. total days) matched with the time from the battery shipment to the next battery replacement of the vehicle to be replaced.
Under the influence of future use behaviors of the electric vehicle to be replaced, the health degree decay rate of the matched battery in the second state may be changed compared with the health degree decay rate in the first state, for example, the second health degree decay rate may be larger than the first health degree decay rate, and the second health degree decay rate may be smaller than the first health degree decay rate. It is of course understood that the health decay rate may also be constant, i.e. the second health decay rate is equal to the first health decay rate. And the second health degree decay rate is closer to the average decay rate compared with the first health degree decay rate, which shows that the health degree decay rate is reduced more, so that the power battery is beneficial.
The average decay rate may be an average health decay rate of the power battery in the target power conversion station; or the average health degree attenuation rate of the power batteries in all the power changing stations in the area where the vehicle to be changed is currently located, wherein the area can be a certain urban area in a city, can also be a larger area range, and the specific situation can be selected according to the actual requirement; the average health degree attenuation rate of the power batteries in all the battery replacement stations of a certain battery replacement company can also be used. The power battery can be matched with the vehicle to be replaced, or can be all power batteries in the replacing station. In addition, the average decay rate may be the current average health degree decay rate of the power battery, or may be the predicted average health degree decay rate of the power battery when the power change of the vehicle to be changed is performed next time. The current average health degree decay rate of the power battery can be optimized because the current average health degree decay rate of the power battery is more accurate than the predicted average health degree decay rate, and the change of the average health degree decay rate before and after is not too large.
Step 204: and determining the matched battery approaching the maximum average decay rate as the target matched battery to be replaced on the vehicle to be replaced.
In the embodiment of the invention, the matched battery with the second health degree attenuation rate which is closer to the average attenuation rate most than the first health degree attenuation rate is used as the target matched battery to be replaced on the vehicle to be replaced in the target battery replacing station. The more the health degree attenuation rate of the matched battery approaches to the average attenuation rate, the more the health degree attenuation rate of the matched battery is reduced, the more the attenuation rate of the power battery in the battery replacement station is favorably balanced, and the difference of the health degree attenuation rate of the power battery in the battery replacement station is reduced. In addition, the more balanced the health degree attenuation rate of the power battery in the battery replacement station, the more balanced the power battery with balanced performance can be used by the user, 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.
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 of a vehicle to be replaced (such as a license plate number, a vehicle color, a vehicle model and the like) and information of a target matching battery (such as battery number information) are obtained, so that battery replacing equipment or a worker of a battery replacing station can know which battery is replaced to which vehicle to be replaced.
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 mileage of a power battery on the vehicle, the distribution situation of the power exchanging stations along the way and the like. 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 endurance 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 health degree of the power battery can be evaluated based on the using behaviors, so that the health degree attenuation rate of the power battery is obtained, the power battery is scheduled based on the health degree attenuation rate of the power battery, the difference of the health degree attenuation rates of the power batteries in the battery replacement station is reduced, and the health degree attenuation rates of the power batteries in the battery replacement station are 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 possible charging times, the charging times in a direct current fast charging mode and the charging times in an alternating current slow charging mode. For example, the driving behavior from the current battery replacement to the next battery replacement, such as smooth driving or bump driving, 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 health degree of 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.
Optionally, step 202: evaluating a second health degree of each matched battery in the second state according to the prediction result and the first accumulated use condition of each matched battery in the target power conversion station in the first state, may include:
according to the prediction result, obtaining a second accumulated use condition of each matched battery from the first state to the second state; determining a third accumulated use condition of each matched battery from factory delivery to a second state according to the first accumulated use condition and the second accumulated use condition; and evaluating the second health degree of each matched battery in the second state according to the third accumulated use condition.
In the embodiment of the invention, for the vehicle to be subjected to battery replacement, the prediction result of the future use behavior of the vehicle to be subjected to battery replacement from the current time to the next time can be obtained, and because the future use behavior of the vehicle affects the accumulated use condition of the matched batteries, the accumulated use condition (namely, the second accumulated use condition) of each matched battery from the current time (namely, the first state) to the next time (namely, the second state) when the battery is replaced on the vehicle to be subjected to battery replacement at the current time can be predicted. And by combining the current accumulated use condition (namely the first accumulated use condition) of each matched battery from the factory, the accumulated use condition (namely the third accumulated use condition) of each matched battery from the factory to the next battery replacement of the vehicle to be replaced can be obtained. And finally, evaluating the second health degree of each matched battery when the battery of the vehicle to be changed is changed next time according to the accumulated use condition of each matched battery in the whole use process (from the factory to the next time when the battery of the vehicle to be changed is changed).
Optionally, for step 202, in evaluating the second health degree of each matching battery in the second state, an evaluation table may be preset, where the evaluation table includes a plurality of accumulated usage information of the power battery, such as but not limited to: the accumulated electric quantity, the accumulated circulating charging times, the accumulated proportion of fast charging and slow charging, the accumulated endurance mileage and the like. The degree of influence on the battery health is set for each degree of difference in the cumulative use, and for example, the degree of influence on the battery health is set when the cumulative number of times of cyclic charge is 50 times, 100 times, 150 times, and the like. According to the evaluation table, the influence result of each accumulated use condition of the power battery on the health degree of the power battery can be obtained. In addition, for different types of accumulated use conditions, a weight value can be given, and finally, a comprehensive influence result can be obtained according to the weight of the influence degree of each type of accumulated use condition on the health degree, so that a second health degree is obtained.
Besides the above evaluation mode, the embodiment of the invention can also evaluate the health degree of the power battery by utilizing the artificial neural network model according to the accumulated use condition of the power battery. For example, the third accumulated use condition of each matched battery from the factory to the next time of battery replacement of the vehicle to be replaced is input into a preset artificial neural network model as input data, so that the model predicts the health degree corresponding to the input data according to the input data, and the input result of the model is used as the second health degree of the matched battery in the second state.
The artificial neural network model is trained in advance, when the artificial neural network model is trained, the accumulated use conditions of a certain number of sample power batteries with known health degrees are used as sample data and input into the artificial neural network model, so that the artificial neural network model predicts the health degree of each sample power battery, and the predicted health degree is compared with the actual health degree of the sample power batteries. And when the prediction result does not meet the expected requirement, if the error between the prediction result and the model is greater than a preset error value, adjusting the model parameters to correct the prediction accuracy of the model until the accuracy of the model meets the expected requirement.
The accumulated usage of the battery in the embodiment of the present invention may include, but is not limited to: accumulating the electric quantity, the number of times of cyclic charging, the proportion of fast charging and slow charging, the total endurance mileage and the like.
Optionally, step 203: determining, from the first health decay rate and the second health decay rate for each matched cell, the matched cell for which the second health decay rate approaches the most average decay rate compared to the first health decay rate may include:
determining a first difference between the first health decay rate and the average decay rate for each matched cell; determining a second difference between the second health decay rate and the average decay rate for each matched cell; determining a difference between the first difference and the second difference for each matched cell; and determining the matched battery with the largest difference as the matched battery with the second health degree attenuation rate approaching the matched battery with the largest average attenuation rate compared with the first health degree attenuation rate.
In the embodiment of the present invention, when determining the matched cells with the second health decay rate that is the most close to the average decay rate compared to the first health decay rate, a first difference between the first health decay rate and the average decay rate of each matched cell and a second difference between the second health decay rate and the average decay rate of each matched cell may be calculated, for example, the first difference may be represented as Δ d _ t0, the second difference may be represented as Δ d _ t1, and Δ d _ t0 is SOH _ rate _ t0-SOH _ rate _ avg, and Δ d _ t1 is SOH _ rate _ t1-SOH _ rate _ avg, respectively. And then judging the degree of each matched battery approaching the average decay rate according to the difference between the first difference and the second difference of each matched battery. The difference between the first difference and the second difference may be understood as a degree of convergence of the decay rate of the health of the matched battery to the average decay rate, and assuming that the degree of convergence is denoted as C, C is Δ d _ t0- Δ d _ t 1. The greater the difference between the first difference and the second difference, the greater the degree of the matched battery approaching the average decay rate, and the greater the degree of the matched battery approaching the average decay rate, the more beneficial the health degree decay rate of the matched battery is to be improved.
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, when the vehicle is matched with the battery, based on the behavior that may occur in the future of the vehicle, the influence of the future use behavior of the vehicle on the health degree of the power battery is evaluated, and further, the health degree attenuation rate of the power battery when the battery of the vehicle to be replaced is replaced next time is obtained. And then according to the first health degree attenuation rate and the second health degree attenuation rate of each power battery, determining that the second health degree attenuation rate is closer to the matched battery with the highest average attenuation rate compared with the first health degree attenuation rate, and the matched battery with the highest average attenuation rate is closer to the matched battery as a target matched battery to be replaced on the vehicle to be replaced. The more the health degree attenuation rate of the matched battery approaches to the average attenuation rate, the more the health degree attenuation rate of the power battery is reduced, the more the attenuation rate of the power battery in the battery changing station is favorably balanced, and the difference of the health degree attenuation rate of the power battery in the battery changing station is reduced. In addition, the more balanced the health degree attenuation rate of the power battery in the battery replacement station, the more balanced the power battery with balanced performance can be used by the user, 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.
An evaluating module 302, configured to evaluate a second health degree of each matched battery in a second state according to the prediction result obtained by the obtaining module 301 and a first accumulated usage condition of each matched battery in the target power swapping station in the first state.
The matched battery is a power battery matched with the vehicle to be changed; the first state is the current state of the matched battery; the second state is a state when the matched battery is used for the next time when the vehicle to be used for replacing the battery is used for replacing the battery if the matched battery is used for replacing the battery to the vehicle to be used for replacing the battery at this time.
The first determining module 303 is configured to determine, according to the first health degree decay rate and the second health degree decay rate of each matched battery, that the second health degree decay rate approaches the matched battery with the highest average decay rate compared to the first health degree decay rate.
Wherein the first health degree decay rate is calculated according to the first health degree of the matched battery in the first state; the second health degree decay rate is calculated according to the second health degree.
A second determining module 304, configured to determine the matched battery with the highest approaching average decay rate determined by the first determining module as a target matched battery to be replaced on the electric vehicle to be replaced.
Optionally, as shown in fig. 4, the vehicle-to-battery matching apparatus 300 further includes:
the prediction module 305 is configured to predict future use behaviors of the vehicle to be subjected to battery swapping after the current battery swapping to the next battery swapping according to the historical use behavior data of the vehicle to be subjected to battery swapping 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 evaluation module 302 includes:
an obtaining unit 3021, configured to obtain, according to the prediction result, a second cumulative usage of each matched battery from the first state to the second state.
A first determining unit 3022, configured to determine, according to the first cumulative usage and the second cumulative usage obtained by the obtaining unit, a third cumulative usage when each of the matched batteries is shipped to the second state.
An evaluating unit 3023, configured to evaluate a second health degree of each of the matched batteries in the second state according to the third cumulative usage determined by the first determining unit.
Optionally, the first determining module 303 includes:
a second determining unit 3031 is configured to determine a first difference between the first health decay rate and the average decay rate of each of the matched batteries.
A third determining unit 3032 is configured to determine a second difference between the second health decay rate and the average decay rate of each of the matched batteries.
A fourth determining unit 3033, configured to determine a difference between the first difference and the second difference of each matched battery.
A fifth determining unit 3034, configured to determine the matched battery with the largest difference as the matched battery with the second health degree decay rate that is closer to the matched battery with the largest average decay rate than the first health degree decay rate.
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 306, 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, when the vehicle is matched with the battery, the influence of the future use behavior of the vehicle on the health degree of the power battery is evaluated based on the behavior possibly occurring in the future of the vehicle, and further the health degree attenuation rate of the power battery when the vehicle to be replaced is replaced next time is obtained. And then according to the first health degree attenuation rate and the second health degree attenuation rate of each power battery, determining that the second health degree attenuation rate is closer to the matched battery with the highest average attenuation rate compared with the first health degree attenuation rate, and the matched battery with the highest average attenuation rate is closer to the matched battery as a target matched battery to be replaced on the vehicle to be replaced. The more the health degree attenuation rate of the matched battery approaches to the average attenuation rate, the more the health degree attenuation rate of the power battery is reduced, the more the attenuation rate of the power battery in the battery changing station is favorably balanced, and the difference of the health degree attenuation rate of the power battery in the battery changing station is reduced. In addition, the more balanced the health degree attenuation rate of the power battery in the battery replacement station, the more balanced the power battery with balanced performance can be used by the user, 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 (10)

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 a second health degree of each matched battery in a second state according to the prediction result and a first accumulated use condition of each matched battery in the target power change station in the first state; the matched battery is a power battery matched with the vehicle to be changed; the first state is the current state of the matched battery; the second state is a state when the matched battery is used for the next time when the matched battery is used for the vehicle to be used for replacing the battery if the matched battery is used for replacing the battery on the vehicle to be used for replacing the battery at this time;
according to the first health degree decay rate and the second health degree decay rate of each matched battery, determining that the second health degree decay rate is closer to the matched battery with the highest average decay rate compared with the first health degree decay rate; wherein the first health degree decay rate is calculated according to the first health degree of the matched battery in the first state; the second health degree attenuation rate is calculated according to the second health degree;
and determining the matched battery with the maximum approaching average decay rate as a target matched battery to be replaced on the vehicle to be replaced.
2. 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.
3. The vehicle-to-battery matching method according to claim 1 or 2, characterized in that 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.
4. The vehicle-battery matching method according to claim 1, wherein the evaluating the second health degree of each matching battery in the second state according to the prediction result and the first accumulated usage condition of each matching battery in the target power conversion station in the first state comprises:
according to the prediction result, obtaining a second accumulated use condition of each matched battery from the first state to the second state;
determining a third accumulated use condition of each matched battery from factory to the second state according to the first accumulated use condition and the second accumulated use condition;
and evaluating the second health degree of each matched battery in the second state according to the third accumulated use condition.
5. The vehicle-to-battery matching method according to claim 1, wherein determining the matched battery having the second health decay rate that is the most close to the average decay rate compared to the first health decay rate based on the first health decay rate and the second health decay rate of each matched battery comprises:
determining a first difference between the first health decay rate and the average decay rate for each of the matched batteries;
determining a second difference between the second health decay rate and the average decay rate for each of the matched batteries;
determining a difference between the first difference and the second difference for each of the matched batteries;
and determining the matched battery with the largest difference as the matched battery with the second health degree decay rate which is closer to the average decay rate to be the largest compared with the first health degree decay rate.
6. 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.
7. The vehicle-battery matching method according to claim 6, wherein 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 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.
8. 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 evaluation module is used for evaluating the second health degree of each matched battery in the second state according to the prediction result obtained by the obtaining module and the first accumulated use condition of each matched battery in the target power change station in the first state; the matched battery is a power battery matched with the vehicle to be changed; the first state is the current state of the matched battery; the second state is a state when the matched battery is used for the next time when the matched battery is used for the vehicle to be used for replacing the battery if the matched battery is used for replacing the battery on the vehicle to be used for replacing the battery at this time;
the first determination module is used for determining that the second health degree decay rate approaches the matched battery with the largest average decay rate compared with the first health degree decay rate according to the first health degree decay rate and the second health degree decay rate of each matched battery; wherein the first health degree decay rate is calculated according to the first health degree of the matched battery in the first state; the second health degree attenuation rate is calculated according to the second health degree;
and the second determination module is used for determining the matched battery which is determined by the first determination module and has the maximum approaching average decay rate as a target matched battery to be replaced on the electric vehicle to be replaced.
9. 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 7, and a processor.
10. 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 7.
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