CN115860395A - Method and device for determining electricity changing threshold value of shared electric car parking point - Google Patents
Method and device for determining electricity changing threshold value of shared electric car parking point Download PDFInfo
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Abstract
The invention provides a method and a device for determining a power change threshold value of a shared electric car parking point, which relate to the field of shared electric cars, and the method comprises the following steps: firstly, determining the highest electricity changing amount, the lowest electricity changing amount and the riding demand per hour of the current parking point according to the historical code scanning and riding data of the current parking point; then determining the real-time available stock vehicle number of the current parking spot and the total number of the current stock vehicles according to the riding data and the historical parking drive-in data of the current parking spot; when the number of the real-time available inventory vehicles is not less than the riding demand, determining the electricity changing threshold value of the current stop point as the lowest electricity changing amount; and when the number of the real-time available stock vehicles is less than the riding demand, determining the electricity changing threshold of the current stop point according to the total number of the current stock vehicles. By the method, the problems of high cost and low efficiency in the existing single-vehicle sharing battery replacement scheme can be solved, and the battery replacement frequency and cost are reduced on the basis of meeting the user requirements to the maximum extent.
Description
Technical Field
The invention relates to the technical field of shared electric vehicles, in particular to a method and a device for determining a battery replacement threshold value of a parking point of a shared electric vehicle.
Background
At present, the power source of the shared electric vehicle mainly depends on a vehicle body battery, and for the convenience of management, the shared electric vehicle generally needs to be parked at a fixed parking point (namely a fence) when being used and returned, and the electric vehicle in the parking point cannot be automatically charged, so that an operator needs to provide a battery replacement service for the electric vehicle with insufficient electric quantity by adopting a manual operation mode. The existing battery replacement strategy is generally to check and replace batteries of low-power vehicles one by one, and because the distribution of the electric vehicles has great randomness, some electric vehicles are not used for a long time and naturally power down, and the battery replacement is undoubtedly a waste of resources. Therefore, the problem that the shared electric car management is urgently needed to solve is to reduce the electricity changing frequency and the cost on the basis of meeting the user requirements to the maximum extent. That is to say, the current scheme of replacing batteries for a shared bicycle has the problems of high cost and low efficiency.
Disclosure of Invention
The invention aims to provide a method and a device for determining a power change threshold value of a shared trolley bus parking point, and aims to solve the problems of high cost and low efficiency of the conventional scheme for changing the power of a shared single-trolley battery.
In one aspect, a method for determining a power change threshold value of a shared trolley bus parking point is provided, which includes:
determining the highest electricity changing amount, the lowest electricity changing amount and the riding demand per hour of the current parking point according to the historical code scanning and riding data of the current parking point;
determining the real-time available stock vehicle number and the current stock vehicle total number of the current parking point according to the riding data and the historical parking driving data of the current parking point;
when the number of the real-time available inventory vehicles is not less than the riding demand, determining the electricity changing threshold value of the current stop point as the lowest electricity changing amount; the battery replacement threshold is used for judging whether the shared electric vehicle at the current parking point needs to replace the battery;
and when the number of the real-time available stock vehicles is less than the riding demand, determining the electricity changing threshold of the current stop point according to the total number of the current stock vehicles. By the method, the battery replacement threshold value of the parking point can be determined according to historical data and vehicle data of the parking point, and the shared bicycle with the battery replacement threshold value lower than the battery replacement threshold value needs to be replaced, so that an optimization strategy of the battery replacement threshold value of the parking point is provided, the problems of high cost and low efficiency in the existing shared bicycle battery replacement scheme are solved, and the battery replacement frequency and cost are reduced on the basis of meeting the user requirements to the maximum extent.
In one embodiment, before the step of determining the real-time available stock vehicle number and the current total number of stock vehicles at the current parking spot according to the riding data and the historical parking entrance data at the current parking spot, the method further comprises: acquiring the real-time vehicle number and electric quantity distribution of each integral point of the current parking point, and determining the total number of vehicles of the current parking point and the first vehicle number which is not less than the highest electric quantity of battery replacement; predicting the planned number of vehicles driven into the current parking spot in each hour in the future according to historical data; and predicting the second vehicle number of which the electric quantity is not less than the highest electric quantity of battery replacement in the planned vehicle number according to the electric quantity distribution.
In one embodiment, the step of determining the number of real-time available stock vehicles and the total number of current stock vehicles at the current parking spot according to the riding data and the historical parking entrance data at the current parking spot comprises: determining the total number of the vehicles in the front stock according to the total number of the vehicles at the current parking point and the planned number of the vehicles; and determining the real-time available stock vehicle number of the current parking point according to the first vehicle number not less than the highest electricity changing amount and the second vehicle number not less than the highest electricity changing amount.
In one embodiment, the step of determining the highest electricity changing amount, the lowest electricity changing amount and the riding demand per hour of the current parking spot according to the historical code scanning and riding data of the current parking spot comprises the following steps: acquiring code scanning riding probability of each electric quantity trolley bus according to historical code scanning and riding data of a current parking point; determining that the electric quantity not less than a first threshold value of the code scanning riding probability is the highest electric quantity of the battery replacement at the current parking point; determining that the lowest threshold of the battery power shortage is the lowest power change amount of the current parking point; and determining the vehicle demand of each hour at the current parking point according to historical data.
In one embodiment, the preset multiple of the vehicle demand is determined as the riding demand; the preset multiple is more than 1.
In one embodiment, when the real-time available stock vehicle number is less than the riding demand, determining the electricity replacement threshold of the current parking spot according to the total number of the current stock vehicles includes: and when the number of the real-time available stock vehicles is less than the riding demand, judging the total number of the current stock vehicles and the riding demand.
In one embodiment, the method further comprises: if the total number of the current inventory vehicles is not less than the riding demand, determining that the riding demand meets the lowest battery replacement quantity when the sum of the number of the vehicles to be replaced and the number of the real-time available inventory vehicles is equal to, and the battery replacement threshold of the current parking point is set; and if the total number of the current inventory vehicles is smaller than the riding demand, determining that the battery replacement threshold of the current stop point is the highest battery replacement amount.
In another aspect, there is provided an apparatus for determining a shared electric-car parking-point charging threshold, the apparatus including:
the first determining module is used for determining the highest electricity changing amount, the lowest electricity changing amount and the riding demand per hour of the current parking spot according to the historical code scanning and riding data of the current parking spot;
the second determining module is used for determining the real-time available stock vehicle number and the total number of the current stock vehicles at the current parking spot according to the riding data and the historical parking driving data of the current parking spot;
the battery replacement threshold determining module is used for determining the battery replacement threshold of the current parking point as the lowest battery replacement electric quantity when the number of the real-time available inventory vehicles is not less than the riding demand; the battery replacement threshold is used for judging whether the shared electric vehicle at the current parking point needs to replace the battery; and when the number of the real-time available stock vehicles is less than the riding demand, determining the electricity changing threshold of the current stop point according to the total number of the current stock vehicles.
In another aspect, an electronic device is provided, which includes a memory and a processor, where the memory stores a computer program operable on the processor, and the processor implements the steps of the method according to any one of the above first aspect when executing the computer program.
In another aspect, there is provided a computer readable storage medium having stored thereon machine executable instructions which, when invoked and executed by a processor, cause the processor to perform the method of any of the first aspects.
The invention provides a method and a device for determining a power change threshold value of a shared trolley bus parking point, wherein the method comprises the following steps: determining the highest electricity changing amount, the lowest electricity changing amount and the riding demand per hour of the current parking point according to the historical code scanning and riding data of the current parking point; determining the real-time available stock vehicle number of the current parking spot and the total number of the current stock vehicles according to the riding data and the historical parking drive-in data of the current parking spot; when the number of the real-time available inventory vehicles is not less than the riding demand, determining the electricity changing threshold value of the current stop point as the lowest electricity changing amount; the battery replacement threshold is used for judging whether the shared electric vehicle at the current parking point needs to replace the battery; and when the number of the real-time available stock vehicles is less than the riding demand, determining the electricity changing threshold of the current stop point according to the total number of the current stock vehicles. By the method, the battery replacement threshold value of the parking point can be determined according to historical data and vehicle data of the parking point, and the shared bicycle which is lower than the battery replacement threshold value needs to be replaced, so that an optimization strategy of the battery replacement threshold value of the parking point is provided, the problems of high cost and low efficiency of the existing battery replacement scheme for the shared bicycle are solved, and the battery replacement frequency and cost are reduced on the basis of meeting the user requirements to the maximum extent.
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 or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flowchart of a method for determining a charging threshold value of a shared trolley bus parking spot according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of another method for determining a charging threshold value of a shared trolley bus parking spot according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a device for determining a charging threshold value of a shared trolley bus parking spot according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
At present, the power source of the shared electric vehicle mainly depends on a vehicle body battery, and for the convenience of management, the shared electric vehicle generally needs to be parked at a fixed parking point (namely a fence) when being used and returned, and the electric vehicle in the parking point cannot be automatically charged, so that an operator needs to provide a battery replacement service for the electric vehicle with insufficient electric quantity by adopting a manual operation mode. The existing battery replacement strategy is generally to check and replace batteries of low-power vehicles one by one, and because the distribution of the electric vehicles has great randomness, some electric vehicles are not used for a long time and naturally power down, and the battery replacement is undoubtedly a waste of resources. Therefore, the problem that the shared electric car management is urgently needed to solve is to reduce the electricity changing frequency and the cost on the basis of meeting the user requirements to the maximum extent. That is to say, the current scheme of replacing batteries for a shared bicycle has the problems of high cost and low efficiency. Based on this, the embodiment of the invention provides a method and a device for determining a shared trolley bus parking point battery replacement threshold value, so as to solve the above problem.
To facilitate understanding of the present embodiment, first, a method for determining a shared electric car parking point battery replacement threshold disclosed in the embodiment of the present invention is described in detail, referring to a flowchart of a method for determining a shared electric car parking point battery replacement threshold shown in fig. 1, where the method may be executed by an electronic device, and mainly includes the following steps S110 to S140:
s110: determining the highest electricity changing amount, the lowest electricity changing amount and the riding demand per hour of the current parking point according to the historical code scanning and riding data of the current parking point;
the parking spots, namely fixed parking places (namely fences) of the shared bicycles, are generally arranged in areas with high use frequency of the shared bicycles, such as subway exits, bus stations, commercial streets, office buildings and the like, so that the standard parking and management are facilitated.
In this embodiment, the historical code scanning data may be data of a user scanning a code for a car in a current parking spot in a recent period of time and data of actual riding, including a probability that the car of each electric quantity rides away after being scanned by the code.
For example, at a parking spot, the probability that a vehicle with each amount of electricity rides after being scanned with a code is as follows: the probability of riding away a vehicle with the battery capacity of 95% after being scanned is 100%; the probability of riding away after the vehicle with 50% of battery electric quantity is scanned is 90%; the method comprises the steps of scanning a vehicle with a battery electric quantity of 30%, wherein the probability of the vehicle being scanned and ridden is 85% \8230, then determining the lowest electric quantity value with the riding probability not less than 85% according to the probability of the vehicle with each electric quantity being scanned and ridden, and using the lowest electric quantity value as the highest electric quantity E of fence battery replacement. In order to prevent the battery of the electric car from being starved, the battery is required to be replaced in time when the electric quantity of the battery reaches 2%, so that 2% can be defined as the lowest electric quantity e for replacing the electric quantity of the fence.
S120: determining the real-time available stock vehicle number of the current parking spot and the total number of the current stock vehicles according to the riding data and the historical parking drive-in data of the current parking spot;
s130: when the number of the real-time available inventory vehicles is not less than the riding demand, determining the electricity changing threshold value of the current stop point as the lowest electricity changing amount; the battery replacement threshold is used for judging whether the shared electric vehicle at the current parking point needs to replace the battery;
s140: and when the number of the real-time available stock vehicles is less than the riding demand, determining the electricity changing threshold of the current stop point according to the total number of the current stock vehicles.
By the method, the battery replacement threshold value of the parking point can be determined according to historical data and vehicle data of the parking point, and the shared bicycle with the battery replacement threshold value lower than the battery replacement threshold value needs to be replaced, so that an optimization strategy of the battery replacement threshold value of the parking point is provided, the problems of high cost and low efficiency in the existing shared bicycle battery replacement scheme are solved, and the battery replacement frequency and cost are reduced on the basis of meeting the user requirements to the maximum extent.
In one embodiment, the method further comprises, before the step of determining the real-time available stock vehicle number and the current total stock vehicle number for the current parking spot based on the riding data and the historical parking entry data for the current parking spot: acquiring the real-time vehicle number and electric quantity distribution of each integral point of the current parking point, and determining the total number of vehicles of the current parking point and the first vehicle number which is not less than the highest electric quantity of battery replacement; predicting the planned number of vehicles driven into the current parking spot in each hour in the future according to historical data; and predicting the second vehicle number of which the electric quantity is not less than the highest electric quantity of battery replacement in the planned vehicle number according to the electric quantity distribution.
The total number of vehicles at the current parking spot is M, and the first number of vehicles is the number M of vehicles with the battery electric quantity more than or equal to the highest battery electric quantity E in the current parking spot; the second number of vehicles is the number N of vehicles with the battery electric quantity more than or equal to the highest battery exchange electric quantity E in the predicted planned number of vehicles N in the current parking spot.
In one embodiment, the step of determining the number of real-time available inventory vehicles and the total number of current inventory vehicles at the current parking spot based on the riding data and the historical parking entry data at the current parking spot comprises: determining the total number of the vehicles in stock at present according to the total number of the vehicles at the present parking spot and the planned number of the vehicles; and determining the real-time available stock vehicle number of the current parking point according to the first vehicle number not less than the highest electricity changing amount and the second vehicle number not less than the highest electricity changing amount.
That is, the current total number of stock vehicles (M + N) is determined from the total number of vehicles M at the current parking point P and the planned number of vehicles N; and determining the real-time available stock vehicle number (m + n) of the current parking point according to the vehicle number m not less than the highest electricity-changing quantity E and the vehicle number n not less than the highest electricity-changing quantity E.
In one embodiment, the step of determining the highest electricity changing amount, the lowest electricity changing amount and the riding demand per hour of the current parking spot according to the historical code scanning and riding data of the current parking spot comprises the following steps: acquiring code scanning riding probability of each electric quantity trolley bus according to historical code scanning and riding data of a current parking point; determining that the electric quantity not less than a first threshold value of the code scanning riding probability is the highest electric quantity of the battery replacement at the current parking point; determining the lowest threshold value of the battery power shortage as the lowest power change amount of the current parking point; and determining the vehicle demand of each hour at the current parking point according to historical data.
The method comprises the following steps of determining a preset multiple of a vehicle using demand as a riding demand; the preset multiple is greater than 1. As a specific example, the vehicle using demand C of each hour at the current parking point is determined according to the historical data, and in order to ensure that the vehicle meets the riding requirement of the user, 1.2 times of the vehicle using demand at the point P can be determined as 1.2C of the riding demand.
In one embodiment, when the number of the real-time available inventory vehicles is less than the riding demand, determining the battery replacement threshold of the current parking spot according to the total number of the current inventory vehicles includes: and when the number of the real-time available stock vehicles is less than the riding demand, judging the total number of the current stock vehicles and the size of the riding demand.
In this embodiment, the method further includes: if the total number of the current stock vehicles is not less than the riding demand, determining that the riding demand meets the lowest electricity changing quantity when the sum of the number of the vehicles to be changed and the number of the real-time available stock vehicles is equal to the current parking point, and the lowest electricity changing quantity is the electricity changing threshold value of the current parking point; and if the total number of the current inventory vehicles is smaller than the riding demand, determining that the battery replacement threshold of the current parking point is the highest battery replacement amount.
That is, when the number of the real-time available stock vehicles at the current parking spot does not satisfy the riding demand, that is, (M + N) <1.2C, the total number of the current stock vehicles (M + N) needs to be determined. If the total number of the inventory vehicles meets the riding demand, namely (M + N) is more than or equal to 1.2C, but the number of the vehicles meeting the electric quantity requirement threshold E is insufficient, determining the lowest electricity changing electric quantity E meeting the requirement that the number of the vehicles to be changed + M + N =1.2C, wherein the electric quantity is the electricity changing electric quantity at the point P in this hour; and if the total number of the inventory vehicles does not meet the riding demand, the current battery swapping threshold is the highest battery swapping amount E. The battery replacement threshold refers to a battery replacement boundary value of the shared electric bicycle, namely: the shared electric bicycle below the battery replacement threshold needs to be replaced with battery.
As a specific example, the present embodiment provides a method for determining a shared trolley-bus parking point battery replacement threshold, which is shown in fig. 2 and includes the following steps:
s210: determining the code scanning non-riding probability;
1. removing the fault vehicle; 2. obtaining the code scanning riding probability of each electric quantity in nearly 7 days; 3. obtaining the lowest electric quantity with the riding probability more than or equal to 85% as a maximum battery replacement threshold value E; 4. to ensure that the battery does not starve, a minimum swapping threshold e is determined.
S220: determining vehicle inventory;
1. acquiring the number M of the existing vehicles at each parking point P at each integral point in real time; 2. and determining the number m of vehicles in the inventory, which is greater than or equal to the maximum battery replacement threshold value E.
S230: determining a vehicle inflow number;
1. acquiring the number N of inflow vehicles per hour of each point P in 7 days in history; 2. predicting the electric quantity distribution of the riding-in vehicle according to the electric quantity distribution percentage of the vehicle at the integral point of the station; 3. and determining the number n of the vehicles with the inflow vehicle electric quantity larger than or equal to the maximum battery replacement request value E.
S240: determining the vehicle outflow quantity;
1. acquiring the number of vehicles which are driven out of the vehicle at each point p per hour in 7 days in history; 2. the number of vehicles is taken as the vehicle demand C at this point P in the hour.
S250: determining a power change threshold value of each parking point P per hour;
1. ensuring that vehicles meeting the e electric quantity per hour at each point P are 1.2 times of vehicles flowing out (vehicle using requirements); 2. m + n > =1.2C, the vehicle is enough, only the ground is guaranteed not to be starved, and the battery replacement threshold is the lowest electric quantity e; 3. m + n <1.2C, M + N > =1.2C, the total number of vehicles is enough, the number of vehicles meeting the E threshold is not enough, the battery replacement threshold is the lowest E, and the battery replacement threshold is the battery replacement threshold when the threshold rises and the like meet the requirement that the vehicle to be replaced + m + n = 1.2C; 4. m + n <1.2C, M + N < -1.2C, the total number of vehicles does not meet the requirement of riding, and the battery changing threshold is the highest battery changing amount E.
The embodiment of the invention provides a method for determining a power change threshold value of a shared trolley bus parking point, which comprises the following steps: determining the highest electricity changing amount, the lowest electricity changing amount and the riding demand per hour of the current parking point according to the historical code scanning and riding data of the current parking point; determining the real-time available stock vehicle number of the current parking spot and the total number of the current stock vehicles according to the riding data and the historical parking drive-in data of the current parking spot; when the number of the real-time available inventory vehicles is not less than the riding demand, determining the electricity changing threshold value of the current stop point as the lowest electricity changing amount; the battery replacement threshold is used for judging whether the shared electric vehicle at the current parking point needs to replace the battery; and when the number of the real-time available stock vehicles is less than the riding demand, determining the electricity changing threshold of the current stop point according to the total number of the current stock vehicles. By the method, the battery replacement threshold value of the parking point can be determined according to historical data and vehicle data of the parking point, and the shared bicycle which is lower than the battery replacement threshold value needs to be replaced, so that an optimization strategy of the battery replacement threshold value of the parking point is provided, the problems of high cost and low efficiency of the existing battery replacement scheme for the shared bicycle are solved, and the battery replacement frequency and cost are reduced on the basis of meeting the user requirements to the maximum extent.
In addition, an embodiment of the present invention further provides a device for determining a shared trolley-bus parking spot battery replacement threshold, and as shown in fig. 3, the device includes:
the first determining module 310 is configured to determine the highest electricity changing amount, the lowest electricity changing amount and the riding demand per hour of the current parking spot according to the historical code scanning and riding data of the current parking spot;
the second determining module 320 is configured to determine the number of real-time available stock vehicles at the current parking spot and the total number of current stock vehicles according to the riding data and the historical parking entrance data of the current parking spot;
the battery replacement threshold determining module 330 is configured to determine that the battery replacement threshold of the current parking point is the lowest battery replacement amount when the number of real-time available inventory vehicles is not less than the riding demand amount; the battery replacement threshold is used for judging whether the shared electric vehicle at the current parking point needs to be replaced with battery or not; and when the number of the real-time available stock vehicles is less than the riding demand, determining the electricity changing threshold of the current stop point according to the total number of the current stock vehicles.
The device for determining the electricity changing threshold of the shared electric car parking point provided by the embodiment of the application can be specific hardware on a device, or software or firmware installed on the device. The device provided by the embodiment of the present application has the same implementation principle and technical effect as the foregoing method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the foregoing method embodiments where no part of the device embodiments is mentioned. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. The device for determining the shared electric car parking point battery replacement threshold provided by the embodiment of the application has the same technical characteristics as the method for determining the shared electric car parking point battery replacement threshold provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
The embodiment of the application further provides an electronic device, and specifically, the electronic device comprises a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, performs the method of any of the above described embodiments.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application, where the electronic device 400 includes: a processor 40, a memory 41, a bus 42 and a communication interface 43, wherein the processor 40, the communication interface 43 and the memory 41 are connected through the bus 42; the processor 40 is adapted to execute executable modules, such as computer programs, stored in the memory 41.
The Memory 41 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, etc. may be used.
The bus 42 may be an ISA bus, PCI bus, 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 double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
The memory 41 is used for storing a program, the processor 40 executes the program after receiving an execution instruction, and the method executed by the apparatus defined by the flow process disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 40, or implemented by the processor 40.
The processor 40 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by instructions in the form of hardware integrated logic circuits or software in the processor 40. The Processor 40 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory 41, and the processor 40 reads the information in the memory 41 and completes the steps of the method in combination with the hardware thereof.
Corresponding to the method, the embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores machine executable instructions, and when the computer executable instructions are called and executed by a processor, the computer executable instructions cause the processor to execute the steps of the method.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the units into only one type of logical function may be implemented in other ways, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, an electronic device, or a network device) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that: like reference numbers and letters in the figures refer to like items and, thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures, and moreover, the terms "first," "second," "third," etc. are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A method for determining a battery replacement threshold value of a shared trolley bus parking spot is characterized by comprising the following steps:
determining the highest electricity changing amount, the lowest electricity changing amount and the riding demand per hour of the current parking point according to the historical code scanning and riding data of the current parking point;
determining the real-time available stock vehicle number and the total number of the current stock vehicles at the current parking spot according to the riding data and the historical parking drive-in data of the current parking spot;
when the number of the real-time available inventory vehicles is not less than the riding demand, determining that the battery replacement threshold value of the current stop point is the lowest battery replacement amount; the battery replacement threshold is used for judging whether the shared electric vehicle at the current parking point needs to replace the battery;
and when the number of the real-time available inventory vehicles is less than the riding demand, determining the electricity changing threshold of the current parking point according to the total number of the current inventory vehicles.
2. The method of determining a shared trolley parking place swap threshold value of claim 1, wherein prior to the step of determining the real-time available inventory vehicle count and the current inventory vehicle count for the current parking spot based on the ride data and historical parking drive-in data for the current parking spot, the method further comprises:
acquiring the real-time vehicle number and electric quantity distribution of each integral point of the current parking point, and determining the total number of vehicles of the current parking point and the first vehicle number which is not less than the highest electric quantity of battery replacement;
predicting the planned number of vehicles driven into the current parking spot in each hour in the future according to historical data;
and predicting a second vehicle number with the electric quantity not less than the highest battery replacement electric quantity in the planned vehicle number according to the electric quantity distribution.
3. The method for determining a shared trolley parking place battery change threshold as claimed in claim 2, wherein the step of determining the real-time available stock vehicle number and the current stock vehicle total number of the current parking place according to the riding data and the historical parking drive-in data of the current parking place comprises:
determining the total number of the current inventory vehicles according to the total number of the vehicles at the current parking spot and the planned number of the vehicles;
and determining the real-time available stock vehicle number of the current parking spot according to the first vehicle number not less than the highest electricity changing amount and the second vehicle number not less than the highest electricity changing amount.
4. The method for determining the electricity changing threshold value of the shared trolley bus stop point as claimed in claim 1, wherein the step of determining the highest electricity changing amount, the lowest electricity changing amount and the riding demand amount per hour of the current stop point according to the historical code scanning and riding data of the current stop point comprises the steps of:
acquiring code scanning riding probability of each electric quantity trolley bus according to historical code scanning and riding data of a current parking point;
determining that the electric quantity not less than a first threshold value of the code scanning riding probability is the highest electric quantity of the battery replacement at the current parking point;
determining that the lowest threshold of the battery power shortage is the lowest power change amount of the current parking spot;
and determining the vehicle demand of each hour at the current parking point according to historical data.
5. The method for determining the electricity changing threshold value of the shared electric car parking spot according to claim 4, wherein the preset multiple of the vehicle using requirement is determined as a riding requirement; the preset multiple is greater than 1.
6. The method for determining the electricity swapping threshold value of the shared trolley bus parking point according to claim 1, wherein when the number of the real-time available inventory vehicles is less than the riding demand, determining the electricity swapping threshold value of the current parking point according to the total number of the current inventory vehicles comprises:
and when the number of the real-time available stock vehicles is less than the riding demand, judging the total number of the current stock vehicles and the riding demand.
7. The method of determining a shared trolley parking switch battery threshold as claimed in claim 5, wherein the method further comprises:
if the total number of the current inventory vehicles is not less than the riding demand, determining that the riding demand meets the lowest battery replacement quantity when the sum of the number of the vehicles to be replaced and the number of the real-time available inventory vehicles is equal to, and the battery replacement quantity is a battery replacement threshold value of the current parking point;
and if the total number of the current inventory vehicles is smaller than the riding demand, determining that the battery replacement threshold of the current parking point is the highest battery replacement amount.
8. A device for determining a shared trolley parking place swap threshold, the device comprising:
the first determining module is used for determining the highest electricity changing amount, the lowest electricity changing amount and the riding demand per hour of the current parking spot according to the historical code scanning and riding data of the current parking spot;
the second determination module is used for determining the number of the real-time available stock vehicles and the total number of the current stock vehicles at the current parking spot according to the riding data and the historical parking drive-in data of the current parking spot;
the battery replacement threshold determining module is used for determining the battery replacement threshold of the current parking point as the lowest battery replacement electric quantity when the number of the real-time available inventory vehicles is not less than the riding demand; the battery replacement threshold is used for judging whether the shared electric vehicle at the current parking point needs to replace the battery; and when the number of the real-time available inventory vehicles is less than the riding demand, determining the electricity changing threshold of the current parking point according to the total number of the current inventory vehicles.
9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and wherein the processor implements the steps of the method of any of claims 1 to 7 when executing the computer program.
10. A computer readable storage medium having stored thereon machine executable instructions which, when invoked and executed by a processor, cause the processor to execute the method of any of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116362626A (en) * | 2023-05-29 | 2023-06-30 | 宁波小遛共享信息科技有限公司 | Method and server for evaluating power conversion effectiveness of shared vehicle |
| CN116468258A (en) * | 2023-06-20 | 2023-07-21 | 宁波小遛共享信息科技有限公司 | Scheduling method and server for shared vehicles |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116362626A (en) * | 2023-05-29 | 2023-06-30 | 宁波小遛共享信息科技有限公司 | Method and server for evaluating power conversion effectiveness of shared vehicle |
| CN116362626B (en) * | 2023-05-29 | 2023-11-07 | 浙江小遛信息科技有限公司 | Method and server for evaluating power conversion effectiveness of shared vehicle |
| CN116468258A (en) * | 2023-06-20 | 2023-07-21 | 宁波小遛共享信息科技有限公司 | Scheduling method and server for shared vehicles |
| CN116468258B (en) * | 2023-06-20 | 2023-11-07 | 浙江小遛信息科技有限公司 | Scheduling method and server for shared vehicles |
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