CN113071364B - Battery scheduling evaluation method and device and computer readable storage medium - Google Patents
Battery scheduling evaluation method and device and computer readable storage medium Download PDFInfo
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- CN113071364B CN113071364B CN202110357056.2A CN202110357056A CN113071364B CN 113071364 B CN113071364 B CN 113071364B CN 202110357056 A CN202110357056 A CN 202110357056A CN 113071364 B CN113071364 B CN 113071364B
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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
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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
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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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
- B60L58/18—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries of two or more battery modules
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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
- B60L2200/00—Type of vehicles
- B60L2200/12—Bikes
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- 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
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Abstract
The invention discloses a battery scheduling evaluation method and device and a computer readable storage medium, relates to the technical field of shared electric vehicles, and solves the technical problem that the battery replacement processing effectiveness cannot be evaluated. The battery scheduling evaluation method comprises the following steps: determining a battery effective value of each target type electric car in the target area subjected to the battery swapping, wherein the battery effective value comprises a first effective value and a second effective value; determining the electricity replacement efficiency of the target type electric vehicle according to the battery effective value, wherein the electricity replacement efficiency is the ratio of the number of the first effective values to the total number of the battery effective values; the first effective value is used for indicating that the battery of the target type electric vehicle cannot continuously maintain the electric vehicle to operate for a preset time before the battery replacement processing, and the second effective value is used for indicating that the battery of the target type electric vehicle can continuously maintain the electric vehicle to operate for the preset time before the battery replacement processing.
Description
Technical Field
The invention relates to the technical field of shared electric bicycles, in particular to a battery scheduling evaluation method and device and a computer readable storage medium.
Background
In the normal operation process of the shared electric bicycle, operation and maintenance personnel need to screen out the shared electric bicycle needing to be replaced in a certain area range, and replace batteries for the screened shared electric bicycle, which is called 'battery replacement' for short. Generally, in order to guarantee user experience, the situation that the shared electric bicycle is out of power in the user riding process is avoided, and operation and maintenance personnel can replace the shared electric bicycle when the battery power of the shared electric bicycle is not completely consumed. Meanwhile, in order to control the management cost, the operation and maintenance personnel cannot perform power change processing on the shared electric bicycle under the condition of more residual electric quantity, and otherwise, the power change is invalid. However, the prior art has no effective method for evaluating the battery replacement effectiveness.
Therefore, those skilled in the art are devoted to developing a battery scheduling evaluation method, apparatus and computer storage medium capable of evaluating the battery replacement effectiveness.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the technical problems to be solved by the present invention are: how to evaluate the effectiveness of the battery replacement process.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a battery scheduling evaluation method, including: determining a battery effective value of each target type electric car in the target area subjected to the battery swapping, wherein the battery effective value comprises a first effective value and a second effective value; determining the electricity replacement efficiency of the target type electric vehicle according to the battery effective value, wherein the electricity replacement efficiency is the ratio of the number of the first effective values to the total number of the battery effective values; the first effective value is used for indicating that the battery of the target type electric vehicle cannot continuously maintain the electric vehicle to operate for a preset time before the battery replacement processing, and the second effective value is used for indicating that the battery of the target type electric vehicle can continuously maintain the electric vehicle to operate for the preset time before the battery replacement processing.
In the embodiment of the invention, the battery effective value of each target type electric car in the target area can be determined after the battery replacement processing, the battery replacement efficiency rate of the target type electric car is determined according to the battery effective value, and the electric car proportion that the electric car cannot be continuously maintained for the preset time in the target type electric car can be determined according to the battery replacement efficiency rate as the battery replacement efficiency rate is the ratio of the number of the first effective values to the total number of the battery effective values, so that the effectiveness of the battery replacement processing in the target area is determined.
In a preferred embodiment of the present invention, the determining the effective battery value of each target-type electric vehicle in the target area subjected to the battery replacement processing includes: acquiring the residual available electric quantity of a target electric car before the battery replacement processing, the percentile electric consumption of a single order and the actual order quantity generated in the preset time after the battery replacement processing, wherein the target electric car is any one of target type electric cars in the target area; under the condition that the ratio of the residual available electric quantity to the percentile electric consumption of the single order is smaller than the actual order quantity, determining that the effective value of the battery of the target electric vehicle is the first effective value; and determining the effective value of the battery of the target electric vehicle to be the second effective value under the condition that the ratio of the residual available electric quantity to the percentile electric consumption of the single order is greater than or equal to the actual order quantity.
In a preferred embodiment of the present invention, the method further comprises: keeping the current battery replacement threshold of the target type electric vehicle in the target area unchanged under the condition that the battery replacement efficiency rate is greater than or equal to a first threshold; and adjusting the battery replacement threshold value under the condition that the battery replacement efficiency rate is smaller than the first threshold value.
In a preferred embodiment of the present invention, the adjusting the swapping threshold includes: determining a target battery replacement threshold value, wherein the target battery replacement threshold value corresponds to the maximum battery replacement efficiency rate; and replacing the current battery replacement threshold value of the target type electric vehicle with the target battery replacement threshold value.
In a preferred embodiment of the present invention, the method further comprises: determining the current change efficiency rate of the target type electric vehicle according to a first period, and evaluating whether the current change threshold value of the target type electric vehicle needs to be adjusted according to a second period; the second period is greater than the first period.
In a second aspect, the present invention provides a battery scheduling evaluation apparatus, including: a processing unit; the processing unit is used for determining a battery effective value of each target type electric car in the target area subjected to the battery replacement processing, and the battery effective value comprises a first effective value and a second effective value; determining the electricity replacement efficiency of the target type electric vehicle according to the battery effective value, wherein the electricity replacement efficiency is the ratio of the number of the first effective values to the total number of the battery effective values; the first effective value is used for indicating that the battery of the target type electric vehicle cannot continuously maintain the electric vehicle to operate for a preset time before the battery replacement processing, and the second effective value is used for indicating that the battery of the target type electric vehicle can continuously maintain the electric vehicle to operate for the preset time before the battery replacement processing.
In a preferred embodiment of the present invention, the apparatus further includes an obtaining unit; the obtaining unit is used for obtaining the remaining available electric quantity of a target electric car before the battery replacement processing, the percentile electric consumption of a single order and the actual order quantity generated in the preset time after the battery replacement processing, wherein the target electric car is any one of target type electric cars in the target area; the processing unit is specifically configured to determine that the battery effective value of the target electric vehicle is the first effective value when a ratio of the remaining available electric quantity to the percentile electric consumption of the single order is smaller than the actual order quantity; and determining the effective value of the battery of the target electric vehicle to be the second effective value under the condition that the ratio of the residual available electric quantity to the percentile electric consumption of the single order is greater than or equal to the actual order quantity.
In a preferred embodiment of the present invention, the processing unit is further configured to: keeping the current battery replacement threshold of the target type electric vehicle in the target area unchanged under the condition that the battery replacement efficiency rate is greater than or equal to a first threshold; and adjusting the battery replacement threshold value under the condition that the battery replacement efficiency rate is smaller than the first threshold value.
In a preferred embodiment of the present invention, the processing unit is specifically configured to determine a target power swapping threshold, where the target power swapping threshold corresponds to a maximum power swapping efficiency rate; and replacing the current battery replacement threshold value of the target type electric vehicle with the target battery replacement threshold value.
In a preferred embodiment of the present invention, the processing unit is further configured to: determining the current change efficiency rate of the target type electric vehicle according to a first period, and evaluating whether the current change threshold value of the target type electric vehicle needs to be adjusted according to a second period; the second period is greater than the first period.
In a third aspect, the present invention provides a battery scheduling evaluation apparatus, which includes a memory and a processor. The memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus. When the battery scheduling evaluation apparatus is running, the processor executes the computer-executable instructions stored in the memory, so as to cause the battery scheduling evaluation apparatus to execute the battery scheduling evaluation method provided by the first aspect and various possible embodiments thereof.
In a fourth aspect, a computer-readable storage medium is provided, where the computer-readable storage medium includes computer-executable instructions, which, when executed on a computer, cause a battery scheduling evaluation apparatus to execute the battery scheduling evaluation method provided in the first aspect and various possible implementations thereof.
In a fifth aspect, a computer program product is provided, which comprises computer instructions that, when run on a computer, cause a battery scheduling evaluation apparatus to perform the battery scheduling evaluation methods provided by the first aspect and its various possible implementations.
It should be noted that all or part of the computer instructions may be stored on the computer readable storage medium. The computer-readable storage medium may be packaged together with a processor executing the battery scheduling evaluation apparatus, or may be packaged separately from the processor executing the battery scheduling evaluation apparatus, which is not limited in this embodiment of the present invention.
For the description of the second, third, fourth and fifth aspects of the present invention, reference may be made to the detailed description of the first aspect; in addition, for the beneficial effects described in the second aspect, the third aspect, the fourth aspect and the fifth aspect, reference may be made to the beneficial effect analysis of the first aspect, and details are not repeated here.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
Fig. 1 is a schematic structural diagram of a battery scheduling evaluation system according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a battery scheduling evaluation method according to a preferred embodiment of the present invention;
fig. 3 is a schematic structural diagram of a battery scheduling evaluation apparatus according to an embodiment of the present invention;
fig. 4 is a second schematic structural diagram of a battery scheduling evaluation apparatus according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element identified by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of embodiments of the present invention is not limited to performing functions in the order illustrated or discussed, but may include performing functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
For the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", and the like are used for distinguishing the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the words "first", "second", and the like are not limited in number or execution order.
Some exemplary embodiments of the invention have been described for illustrative purposes, and it is to be understood that the invention may be practiced otherwise than as specifically described.
In general, during normal operation of the shared electric bicycle, an operation and maintenance worker needs to screen out the shared electric bicycle in which the battery needs to be replaced within a certain area range, and replace the battery for the screened shared electric bicycle, which is referred to as "battery replacement" for short. In order to guarantee user experience, the situation that the shared electric bicycle is out of power in the riding process of a user is avoided, and operation and maintenance personnel can replace the shared electric bicycle when the battery power of the shared electric bicycle is not completely consumed. Meanwhile, in order to control the management cost, the operation and maintenance personnel cannot perform power change processing on the shared electric bicycle under the condition of more residual electric quantity, and otherwise, the power change is invalid. However, no effective method for evaluating the battery replacement effectiveness is available in the prior art.
In order to evaluate the battery replacement effectiveness, the invention provides a battery scheduling evaluation method which can determine a battery effective value of each target type electric vehicle in a target area subjected to battery replacement processing, wherein the battery effective value comprises a first effective value and a second effective value; determining the electricity replacement efficiency of the target type electric vehicle according to the battery effective value, wherein the electricity replacement efficiency is the ratio of the number of the first effective values to the total number of the battery effective values; the first effective value is used for indicating that the battery of the target type electric vehicle cannot continuously maintain the electric vehicle to operate for a preset time before the battery replacement processing, and the second effective value is used for indicating that the battery of the target type electric vehicle can continuously maintain the electric vehicle to operate for the preset time before the battery replacement processing. According to the scheme, the battery effective value of each target type electric car in the target area can be determined after the battery replacement processing, the battery replacement efficiency rate of the target type electric car is determined according to the battery effective value, and the ratio of the electric cars which cannot continuously maintain the electric car to run for the preset time in the target type electric car can be determined according to the battery replacement efficiency rate as the battery replacement efficiency rate is the ratio of the number of the first effective values to the total number of the battery effective values, so that the effectiveness of the battery replacement processing of the target area is determined.
The above-described implementations are described in detail below with reference to specific embodiments and the accompanying drawings.
As shown in fig. 1, an embodiment of the present invention provides a battery scheduling evaluation system, which may include a background server 100, an operation and maintenance terminal 200, and an electric car 300. Wherein, the electric car 300 may transmit the real-time electric quantity value of the electric car 300 and the order amount completed within a time period to the background server 100; the operation and maintenance terminal 200 can replace the battery for the electric vehicle 300 according to the battery replacement threshold, record battery replacement data of the electric vehicle 300, and send the battery replacement data to the background server 100, wherein the battery replacement data includes the remaining capacity of the electric vehicle 300 when the electric vehicle 300 replaces the battery; the background server 100 may receive the battery swapping threshold value input by the staff and synchronize the battery swapping threshold value to the operation and maintenance terminal 200, and may also evaluate the rationality of the battery swapping threshold value according to data acquired from the electric vehicle 300 and the operation and maintenance terminal 200.
As shown in fig. 2, an embodiment of the present invention provides a battery scheduling evaluation method, which may be applied to a battery scheduling evaluation apparatus, where the battery scheduling evaluation apparatus may be an apparatus in the background server 100. The battery scheduling evaluation method may include: s101 and S102:
S101, the battery scheduling evaluation device determines the battery effective value of each target type electric car in the target area subjected to the battery replacement processing.
The battery effective value comprises a first effective value and a second effective value, the first effective value is used for indicating that the battery of the target type electric car cannot continuously maintain the electric car to run for a preset time before the battery replacement processing, and the second effective value is used for indicating that the battery of the target type electric car can continuously maintain the electric car to run for the preset time before the battery replacement processing.
The city can comprise a plurality of management areas, each management area can comprise at least one type of shared electric car, each type of shared electric car in each management area can correspond to one battery replacement threshold, and the operation and maintenance personnel can perform battery replacement processing on one type of shared electric car in one management area according to the battery replacement threshold.
Take a target type electric car in the target area as an example. After the operation and maintenance personnel carry out the battery replacement processing on the target type electric car in the target area, the battery scheduling and evaluating device can determine the battery effective value of the electric car subjected to the battery replacement processing. For example, taking the target area including the electric vehicle 100 with the vehicle type of type 1 and the electric vehicle 120 with the vehicle type of type 2, and taking the target type as type 2 as an example, if the maintenance worker filters the remaining electric quantity of the 120 electric vehicles by the battery swapping threshold, and then determines that the remaining electric quantity of 100 electric vehicles is lower than the battery swapping threshold, and the remaining electric quantity of 20 electric vehicles is higher than or equal to the battery swapping threshold, after the maintenance worker performs the battery swapping process on the 100 electric vehicles, the battery scheduling evaluation device may determine the battery effective value of each electric vehicle in the 100 electric vehicles.
Optionally, the battery scheduling evaluation device may determine the effective value of the battery of the electric car according to a principle that whether the electric car can postpone the replacement of the battery for a preset time on the basis of not affecting the needs of most of the travelers.
Specifically, the battery scheduling and evaluating device may first obtain the remaining available power amount of the target electric vehicle before the battery swapping process, the percentile power consumption of the single order, and the actual number of orders generated within the preset time after the battery swapping process, where the target electric vehicle is any one of the target electric vehicles in the target area; then, the battery scheduling evaluation device may determine that the battery effective value of the target electric vehicle is the first effective value when the ratio of the remaining available electric quantity to the percentile electric consumption of the single order is smaller than the actual order quantity; and determining the effective value of the battery of the target electric vehicle to be the second effective value under the condition that the ratio of the residual available electric quantity to the percentile electric consumption of the single order is greater than or equal to the actual order quantity.
Optionally, the remaining available electric quantity of the target electric vehicle may be a difference between the remaining electric quantity of the target electric vehicle and the minimum protection electric quantity of the target electric vehicle. The percentile power consumption of the single order can be the target percentile power consumption in the historical travel record of the target electric car, namely, the power consumption has the probability of the target percentile and can guarantee the daily travel requirement of one time according to the statistical principle. For example, the target percentage may be 95%.
Illustratively, the target percentage is 95% and the preset time is 24 hours. The battery scheduling and evaluating device can obtain the residual capacity of the target electric vehicle, the lowest protection capacity of the target electric vehicle, the 95% quantile power consumption of a single order and the actual order number generated within 24 hours after the battery replacement processing, and then the battery scheduling and evaluating device can determine the residual available capacity of the target electric vehicle according to the residual capacity of the target electric vehicle and the lowest protection capacity of the target electric vehicle, and then determine the relation between the ratio of the residual available capacity to the 95% quantile power consumption of the single order and the actual order number generated within 24 hours, namely determine the relation between the order number which can be maintained by the residual available capacity and the actually generated order number. If the ratio is smaller than the actual order number generated in 24 hours, determining that the effective value of the battery of the target electric vehicle is a first effective value; and if the ratio is larger than or equal to the actual order number generated in 24 hours, determining that the effective value of the battery of the target electric vehicle is a second effective value.
It should be noted that, if the remaining available electric quantity of the target electric vehicle under the condition of no battery replacement is not enough to support the number of orders that may be generated by the target electric vehicle within the next 24 hours, the battery replacement is considered to be effective and necessary; otherwise, from the perspective of saving the battery replacement cost, the battery replacement of the target electric vehicle is considered unnecessary and ineffective, that is, the battery replacement of the vehicle can be delayed for 24 hours and then performed under the condition of not influencing the order.
And S102, determining the electricity changing efficiency of the target type electric vehicle by the battery scheduling evaluation device according to the battery effective value.
The battery replacement efficiency rate is a ratio of the number of the first effective values to the total number of the battery effective values.
After the battery scheduling and evaluating device determines the effective value of the battery of each target type electric vehicle, the battery replacement efficiency rate of the target type electric vehicle in the target area can be further determined. For example, if the battery effective values of 100 target-type electric vehicles are determined in S101, including 80 target-type electric vehicles having a first battery effective value and 20 target-type electric vehicles having a second battery effective value, the battery replacement efficiency rate of the target-type electric vehicles in the target area is 80%.
Optionally, the operation and maintenance personnel may sequentially detect the remaining battery capacities of all the shared electric bicycles, and replace the battery for the shared electric bicycle when the remaining battery capacity is smaller than the battery replacement threshold. However, if the battery replacement threshold is set too low, the probability of the residents encountering the electricity-deficient vehicle is increased, and the user experience is influenced; if the battery replacement threshold is set too high, the battery replacement of the vehicle needs to be performed frequently, so that the management cost is increased. Therefore, after the battery replacement efficiency rate is determined, the battery replacement threshold value can be evaluated and adjusted according to the battery replacement efficiency rate. Namely, the region with unreasonable setting of the power change threshold is optimized by adopting a new power change threshold, and the region with reasonable setting of the power change threshold is continuously monitored.
Specifically, the battery scheduling and evaluating device may keep the current battery replacement threshold of the target type electric vehicle in the target area unchanged and continuously monitor the target area when the battery replacement efficiency rate is greater than or equal to the first threshold; and adjusting the battery replacement threshold value under the condition that the battery replacement efficiency rate is smaller than the first threshold value. For example, the first threshold may be 80%.
It should be noted that, if the battery replacement threshold values of different types of electric cars in the target area are the same, the battery scheduling evaluation device may directly evaluate the battery replacement threshold value of the electric car in the target area; if the battery replacement threshold values of different types of electric vehicles in the target area are different, the battery scheduling evaluation device needs to evaluate the battery replacement threshold values of the electric vehicles with the same battery replacement threshold value in the target area respectively.
Optionally, when the battery swapping efficiency rate is smaller than the first threshold, the battery scheduling evaluation device may determine a target battery swapping threshold first, where the target battery swapping threshold corresponds to the maximum battery swapping efficiency rate; for example, the battery scheduling evaluation device may calculate the power swapping efficiency rates corresponding to the multiple power swapping threshold values through an optimization algorithm or a traversal algorithm, and determine the power swapping threshold value corresponding to the maximum power swapping efficiency rate as the target power swapping threshold value. And finally, replacing the current battery replacement threshold value of the target type electric vehicle with the target battery replacement threshold value.
Optionally, the battery scheduling evaluation device may determine the battery replacement efficiency of the target type electric vehicle according to a first period, and evaluate whether the battery replacement threshold of the target type electric vehicle needs to be adjusted according to a second period; the second period is greater than the first period. For example, the battery scheduling evaluation device may evaluate the swapping efficiency rate in the target area by day, and evaluate and dynamically adjust the swapping threshold setting in the target area by week, so that the swapping threshold setting can meet the travel demands of urban residents and effectively control the management cost.
In the embodiment of the invention, the battery effective value of each target type electric car in the target area can be determined after the battery replacement processing, the battery replacement efficiency rate of the target type electric car is determined according to the battery effective value, and the electric car proportion that the electric car cannot be continuously maintained for the preset time in the target type electric car can be determined according to the battery replacement efficiency rate as the battery replacement efficiency rate is the ratio of the number of the first effective values to the total number of the battery effective values, so that the effectiveness of the battery replacement processing in the target area is determined.
The scheme provided by the embodiment of the application is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the battery scheduling evaluation method provided in the embodiment of the present application, the execution main body may be a battery scheduling evaluation apparatus, or a control module used for battery scheduling evaluation in the battery scheduling evaluation apparatus. In the embodiment of the present application, a battery scheduling evaluation apparatus is taken as an example to execute a battery scheduling evaluation method, and the battery scheduling evaluation apparatus provided in the embodiment of the present application is described.
It should be noted that, in the embodiment of the present application, the battery scheduling evaluation apparatus may be divided into the functional modules according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. Optionally, the division of the modules in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
As shown in fig. 3, an embodiment of the present application provides a battery scheduling evaluation apparatus 300. The battery scheduling evaluation apparatus 300 includes: a processing unit 301. The processing unit 301 may be configured to determine a battery effective value of each target-type electric vehicle in the target area subjected to the battery swapping process, where the battery effective value includes a first effective value and a second effective value; determining the electricity replacement efficiency of the target type electric vehicle according to the battery effective value, wherein the electricity replacement efficiency is the ratio of the number of the first effective values to the total number of the battery effective values; the first effective value is used for indicating that the battery of the target type electric vehicle cannot continuously maintain the electric vehicle to operate for a preset time before the battery replacement processing, and the second effective value is used for indicating that the battery of the target type electric vehicle can continuously maintain the electric vehicle to operate for the preset time before the battery replacement processing.
Optionally, the apparatus 300 may further include an obtaining unit 302. The obtaining unit 302 may be configured to obtain a remaining available power amount of a target electric vehicle before the battery replacement processing, a percentile power consumption amount of a single order, and an actual number of orders generated within the preset time after the battery replacement processing, where the target electric vehicle is any one of target electric vehicles in the target area; the processing unit 301 may be specifically configured to determine that the battery effective value of the target electric vehicle is the first effective value when a ratio of the remaining available power amount to the percentile power consumption amount of the single order is smaller than the actual order number; and determining the effective value of the battery of the target electric vehicle to be the second effective value under the condition that the ratio of the residual available electric quantity to the percentile electric consumption of the single order is greater than or equal to the actual order quantity.
Optionally, the processing unit 301 may further be configured to: keeping the current battery replacement threshold of the target type electric vehicle in the target area unchanged under the condition that the battery replacement efficiency rate is greater than or equal to a first threshold; and adjusting the battery replacement threshold value under the condition that the battery replacement efficiency rate is smaller than the first threshold value.
Optionally, the processing unit 301 may be specifically configured to determine a target power swapping threshold, where the target power swapping threshold corresponds to a maximum power swapping efficiency rate; and replacing the current battery replacement threshold value of the target type electric vehicle with the target battery replacement threshold value.
Optionally, the processing unit 301 may further be configured to: determining the current change efficiency rate of the target type electric vehicle according to a first period, and evaluating whether the current change threshold value of the target type electric vehicle needs to be adjusted according to a second period; the second period is greater than the first period.
Of course, the battery scheduling evaluation apparatus 300 provided in the embodiment of the present application includes, but is not limited to, the above units.
The battery scheduling evaluation device provided by the embodiment of the invention can determine the battery effective value of each target type electric vehicle in the target area after the battery replacement processing, and determine the battery replacement efficiency rate of the target type electric vehicle according to the battery effective value, and because the battery replacement efficiency rate is the ratio of the number of the first effective values to the total number of the battery effective values, the proportion of the electric vehicles which cannot continuously maintain the electric vehicle to run for the preset time in the target type electric vehicle can be determined through the battery replacement efficiency rate, so that the effectiveness of the battery replacement processing of the target area is determined.
The embodiment of the present application further provides a battery scheduling evaluation apparatus as shown in fig. 4, where the battery scheduling evaluation apparatus includes a processor 11, a memory 12, a communication interface 13, and a bus 14. The processor 11, the memory 12 and the communication interface 13 may be connected by a bus 14.
The processor 11 is a control center of the battery scheduling evaluation apparatus, and may be a single processor or a collective term for a plurality of processing elements. For example, the processor 11 may be a general-purpose Central Processing Unit (CPU), or may be another general-purpose processor. Wherein a general purpose processor may be a microprocessor or any conventional processor or the like.
For one embodiment, processor 11 may include one or more CPUs, such as CPU 0 and CPU 1 shown in FIG. 4.
The memory 12 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
In a possible implementation, the memory 12 may be present separately from the processor 11, and the memory 12 may be connected to the processor 11 via a bus 14 for storing instructions or program code. The deployment method of the service function chain provided by the embodiment of the present application can be implemented when the processor 11 calls and executes the instructions or program codes stored in the memory 12.
In another possible implementation, the memory 12 may also be integrated with the processor 11.
And a communication interface 13 for connecting with other devices through a communication network. The communication network may be an ethernet network, a radio access network, a Wireless Local Area Network (WLAN), or the like. The communication interface 13 may comprise a receiving unit for receiving data and a transmitting unit for transmitting data.
The bus 14 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
It is to be noted that the structure shown in fig. 4 does not constitute a limitation of the battery scheduling evaluation apparatus. In addition to the components shown in fig. 4, the battery scheduling evaluation apparatus may include more or fewer components than shown, or combine certain components, or a different arrangement of components.
Embodiments of the present invention also provide a computer-readable storage medium, which includes computer-executable instructions. When the computer executes the instructions to run on the computer, the computer executes the steps executed by the battery scheduling evaluation device in the battery scheduling evaluation method provided by the above embodiment.
The embodiment of the present invention further provides a computer program product, which can be directly loaded into the memory and contains software codes, and after the computer program product is loaded and executed by the computer, the method for evaluating battery scheduling provided by the above embodiment can be implemented, and each step executed by the battery scheduling evaluation apparatus is executed.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for causing a terminal to execute the methods according to the embodiments of the present invention.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (12)
1. A battery scheduling evaluation method, comprising:
determining a battery effective value of each target type electric car in the target area subjected to the battery swapping, wherein the battery effective value comprises a first effective value and a second effective value;
determining a battery replacement efficiency rate of the target type electric vehicle according to the battery effective value, wherein the battery replacement efficiency rate is a ratio of the number of the first effective values to the total number of the battery effective values;
the first effective value is used for indicating that the residual available electric quantity of the target type electric vehicle before the battery replacement processing cannot continuously maintain the electric vehicle to operate for a preset time, and the second effective value is used for indicating that the residual available electric quantity of the target type electric vehicle before the battery replacement processing can continuously maintain the electric vehicle to operate for the preset time.
2. The battery scheduling evaluation method according to claim 1, wherein the determining the battery effective value of each target type electric vehicle in the target area subjected to the battery swapping process includes:
acquiring the residual available electric quantity of a target electric car before the battery replacement processing, the percentile electric consumption of a single order and the actual order quantity generated in the preset time after the battery replacement processing, wherein the target electric car is any one of target type electric cars in the target area;
determining that the effective value of the battery of the target electric vehicle is the first effective value under the condition that the ratio of the residual available electric quantity to the percentile electric consumption of the single order is smaller than the actual order quantity;
and under the condition that the ratio of the residual available electric quantity to the percentile electric consumption of the single order is greater than or equal to the actual order quantity, determining that the effective value of the battery of the target electric vehicle is the second effective value.
3. The battery scheduling evaluation method of claim 1 or 2, the method further comprising:
keeping the current battery replacement threshold of the target type electric vehicle in the target area unchanged when the battery replacement efficiency rate is greater than or equal to a first threshold; and adjusting the battery swapping threshold value under the condition that the battery swapping efficiency rate is smaller than the first threshold value.
4. The battery scheduling evaluation method of claim 3, wherein the adjusting the swapping threshold comprises:
determining a target battery replacement threshold value, wherein the target battery replacement threshold value corresponds to the maximum battery replacement efficiency rate;
replacing the current battery replacement threshold value of the target type electric vehicle with the target battery replacement threshold value.
5. The battery scheduling evaluation method of claim 3, the method further comprising: determining the current change efficiency rate of the target type electric vehicle according to a first period, and evaluating whether the current change threshold value of the target type electric vehicle needs to be adjusted according to a second period; the second period is greater than the first period.
6. A battery scheduling evaluation apparatus, comprising: a processing unit;
the processing unit is used for determining a battery effective value of each target type electric car in the target area subjected to the battery replacement processing, and the battery effective value comprises a first effective value and a second effective value; determining the electricity replacement efficiency rate of the target type electric vehicle according to the battery effective value, wherein the electricity replacement efficiency rate is the ratio of the number of the first effective values to the total number of the battery effective values;
the first effective value is used for indicating that the residual available electric quantity of the target type electric vehicle before the battery replacement processing cannot continuously maintain the electric vehicle to operate for a preset time, and the second effective value is used for indicating that the residual available electric quantity of the target type electric vehicle before the battery replacement processing can continuously maintain the electric vehicle to operate for the preset time.
7. The battery scheduling evaluation apparatus of claim 6, wherein the apparatus further comprises an acquisition unit;
the acquisition unit is used for acquiring the residual available electric quantity of a target electric car before the battery replacement processing, the percentile electric consumption of a single order and the actual order quantity generated in the preset time after the battery replacement processing, wherein the target electric car is any one of target type electric cars in the target area;
the processing unit is specifically configured to determine that the battery effective value of the target electric vehicle is the first effective value when a ratio of the remaining available electric quantity to the percentile electric consumption of the single order is smaller than the actual order quantity; and under the condition that the ratio of the residual available electric quantity to the percentile electric consumption of the single order is greater than or equal to the actual order quantity, determining that the effective value of the battery of the target electric vehicle is the second effective value.
8. The battery schedule evaluation apparatus of claim 6 or 7, wherein the processing unit is further configured to: keeping the current battery replacement threshold of the target type electric vehicle in the target area unchanged when the battery replacement efficiency rate is greater than or equal to a first threshold; and adjusting the battery swapping threshold value under the condition that the battery swapping efficiency rate is smaller than the first threshold value.
9. The battery scheduling evaluation device of claim 8, wherein the processing unit is specifically configured to determine a target battery swapping threshold, where the target battery swapping threshold corresponds to a maximum battery swapping efficiency rate; replacing the current battery replacement threshold value of the target type electric vehicle with the target battery replacement threshold value.
10. The battery scheduling evaluation apparatus of claim 8, wherein the processing unit is further to: determining the current change efficiency rate of the target type electric vehicle according to a first period, and evaluating whether the current change threshold value of the target type electric vehicle needs to be adjusted according to a second period; the second period is greater than the first period.
11. A battery scheduling evaluation apparatus comprising a memory and a processor; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus;
the processor executes the computer-executable instructions stored by the memory to cause the battery schedule evaluation apparatus to perform the battery schedule evaluation method of any of claims 1-5 when the battery schedule evaluation apparatus is operating.
12. A computer-readable storage medium comprising computer-executable instructions that, when executed on a computer, cause the computer to perform the battery schedule evaluation method of any of claims 1-5.
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