Charging operation scheduling method and device based on vehicle-vehicle charging fleet and storage medium

Abstract

The invention discloses a charging operation scheduling method and device based on a vehicle-vehicle charging motorcade and a storage medium, and belongs to the technical field of new energy motorcade charging operation scheduling, and the scheduling method comprises the steps: obtaining the vehicle information of each vehicle in a motorcade to form a motorcade list, and determining the driving route mileage of a motorcade operation task; calculating to obtain the electric quantity required by each trolley for completing the task; traversing in the vehicle list, and traversing pairwise combinations of all vehicles to obtain different charging combination modes; setting the target electric quantity for charging each trolley, and then calculating the charging time for charging each trolley to the target electric quantity according to the motorcade list and the target electric quantity; and calculating the total charging time required for completing charging in different charging combination modes, and taking the charging combination mode corresponding to the minimum total charging time as the optimal motorcade distribution combination mode. According to the invention, on the basis that the electric quantity of the vehicle meets operation, the overall charging time of the motorcade is optimal, and the overall charging time is effectively reduced.

Description

Technical Field

[0001] The present invention relates to a method, device and storage medium for charging operation scheduling based on a vehicle-to-vehicle charging fleet, belonging to the technical field of charging operation scheduling of new energy fleets. Background Art

[0002] For actual new energy vehicle fleet operations, the entire fleet is generally charged before departure or return, and the power is charged to 85%-90% to ensure that there is no power feed during driving. When the driver stops to rest during driving, vehicle-to-vehicle charging can be carried out during this period to ensure that each vehicle has a certain amount of power to meet subsequent driving. However, how to effectively combine vehicles to charge before departure to achieve the purpose of reducing the overall charging time is not involved in the existing technology. All current scheduling methods are based on the charging pile distribution network and the idle status of charging piles in urban space. The charging route selection for a single vehicle calculates the optimal charging time for a single vehicle, which is not suitable for the centralized charging scheduling of vehicles in the fleet at the same time. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to overcome the defects of the existing technology and provide a charging operation scheduling method, device and storage medium based on vehicle-to-vehicle charging fleet, which can optimize the overall charging time of the fleet while meeting the operation requirements of the vehicles, thereby effectively reducing the overall charging time.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0005] In a first aspect, the present invention provides a method for scheduling charging operations based on a vehicle-to-vehicle charging fleet, comprising the following steps:

[0006] Obtain vehicle information of each vehicle in the fleet to form a fleet list, and determine the mileage of the fleet's operating tasks;

[0007] Calculate the amount of electricity required for each vehicle to complete the task based on the fleet list and route mileage;

[0008] Traverse the vehicle list, traverse all the two-vehicle combinations, and obtain different charging combinations;

[0009] The target power level for each vehicle is set based on the conditions between the power required to complete the mission and the target power level of each vehicle in each charging combination. The charging time required for each vehicle to reach the target power level is then calculated based on the fleet list and the target power level.

[0010] Based on the charging time of each vehicle, the total charging time required for different charging combinations is calculated respectively, and the charging combination corresponding to the minimum total charging time is allocated as the optimal fleet combination.

[0011] The fleet list includes the current power level, battery capacity, battery rated voltage and vehicle energy consumption per 100 kilometers.

[0012] The calculation method of the power required for each vehicle to complete the task is:

[0013] (1)

[0014] Among them, L is the mileage of the route, E i is the energy consumption per 100 kilometers of the i-th vehicle, Q i is the battery capacity of the i-th vehicle, V i is the rated voltage of the battery of the i-th vehicle, Need_SOC i The amount of electricity required for the i-th vehicle to complete the driving route mileage L.

[0015] The vehicle list is traversed to traverse all pairs of vehicles and obtain different charging combinations:

[0016] When the total number of vehicles is an even number, the vehicles are directly combined into pairs. When the total number of vehicles is an odd number, the extra vehicle is treated as a separate group.

[0017] The conditions that need to be met between the power required for the two vehicles in each group to complete the task and the target power of charging in the charging combination are:

[0018] (3)

[0019] in, The target power corresponding to the vehicle with the largest current power in each group, The power demand corresponding to the vehicle with the relatively large current power in each group, The target power corresponding to the vehicle with the relatively small current power in each group, is the required power corresponding to the vehicle with relatively small current power in each group, K is the power conversion rate of vehicle-to-vehicle charging, For ample power.

[0020] The calculation method for charging each vehicle to the target power is:

[0021] (2)

[0022] Where I is the charging current, is the target power of the i-th vehicle, is the current power of the i-th vehicle, Q i is the battery capacity of the i-th vehicle, The charging time for the i-th vehicle to charge to the target power.

[0023] The target power for charging each vehicle must meet the following requirements: the time difference between the charging times of the groups in the charging combination must not exceed the minimum charging time difference TBD_t.

[0024] The total charging time required to complete charging in different charging combinations is calculated based on the charging time of each vehicle, including:

[0025] The larger value of the charging time of each group in the power combination mode is taken as the charging time of each group, and then the charging time of each group is summed up to obtain the total charging time.

[0026] In a second aspect, the present invention provides a charging operation scheduling device based on a vehicle-to-vehicle charging fleet, comprising:

[0027] The information acquisition module is used to obtain the vehicle information of each vehicle in the fleet to form a fleet list and determine the driving route mileage of the fleet's operation tasks;

[0028] The power calculation module is used to calculate the power required for each vehicle to complete the task based on the fleet list and the mileage of the route;

[0029] The combination configuration module is used to traverse the vehicle list, traverse all the two-vehicle combinations, and obtain different charging combinations;

[0030] The charging time calculation module is used to set the target power for each vehicle based on the conditions that need to be met between the power required for each vehicle in each charging combination to complete the task and the target power. Then, the charging time for each vehicle to reach the target power is calculated based on the fleet list and the target power.

[0031] The optimal combination determination module is used to calculate the total charging time required for different charging combinations based on the charging time of each vehicle, and allocate the charging combination method with the minimum total charging time to the optimal fleet.

[0032] In a third aspect, the present invention provides a computer-readable storage medium having a computer program / instruction stored thereon. When the computer program / instruction is executed by a processor, the method for scheduling charging operations of a vehicle-to-vehicle charging fleet as described in the present invention is implemented.

[0033] Beneficial effects of the present invention: The present invention provides a charging operation scheduling method, device and storage medium based on vehicle-to-vehicle charging fleet. According to the initial power information of different vehicles, the target power and time of charging at the charging pile are calculated, and effective grouping within the fleet is performed. The power of the vehicles can be optimized on the basis of meeting the operation requirements. When parking and resting, the vehicles with high power in the group can supplement the power of the vehicles with low power in the group through vehicle-to-vehicle charging. There is no need to plan collective charging of the fleet, which reduces the charging time of the entire fleet and improves the overall operation efficiency of the fleet. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a flow chart of a method for scheduling charging operations based on a vehicle-to-vehicle charging fleet provided by the present invention;

[0035] Figure 2 This is a control schematic diagram of a power take-off control system for a new energy vehicle based on a dual-bridge provided by the present invention;

[0036] Figure 3 The present invention provides a parking power take-off logic flow chart of a method for controlling a power take-off of a new energy vehicle based on a dual-bridge. DETAILED DESCRIPTION

[0037] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and are not intended to limit the scope of protection of the present invention.

[0038] Example 1

[0039] like Figure 1 As shown, the present invention provides a method for scheduling charging operations based on a vehicle-to-vehicle charging fleet, comprising the following steps:

[0040] Step 1: Obtain vehicle information for each vehicle in the fleet to form a fleet list and determine the mileage of the fleet's mission. The fleet list includes the current battery level, battery capacity, battery rated voltage, and vehicle energy consumption per 100 kilometers.

[0041] Step 2: Calculate the amount of electricity required for each vehicle to complete the task based on the fleet list and the mileage of the route. The calculation method for the amount of electricity required for each vehicle to complete the task is:

[0042] (1)

[0043] Among them, L is the mileage of the route (unit: km), E i is the energy consumption per 100 kilometers of the i-th vehicle (unit: kWh / km), Q i is the battery capacity of the i-th vehicle (unit: Ah), V iis the rated voltage of the battery of the i-th vehicle (unit: V), Need_SOC i The amount of electricity required for the i-th vehicle to complete the route mileage L (unit: %).

[0044] Step 3: Iterate through the vehicle list, searching for all pairwise combinations of vehicles to identify different charging combinations. Since vehicle-to-vehicle charging requires connecting two vehicles to a charging device, the minimum required charging combination is two vehicles. If the number of vehicles is even, the combination can be made directly; if the number of vehicles is odd, the extra vehicle is treated as a separate group. Iterate through the vehicle list, searching for all possible pairwise combinations (for example, if there are four vehicles numbered C1, C2, C3, and C4, the possible combinations are [C1, C2] + [C3, C4], [C1, C3] + [C2, C4], and [C1, C4] + [C2, C3]; if there are three vehicles, the possible combinations are [C1, C2] + [C3, 0], [C1, C3] + [C2, 0], and [C2, C3] + [C1, 0]). In order to enable each combination to set out to perform the task as soon as possible, the time difference of the charging time of each group in the charging combination shall not exceed the minimum charging time difference TBD_t. The minimum charging time difference TBD_t is assigned according to the specific needs.

[0045] Step 4: Set a target charge for each vehicle, based on the conditions between the required charge for each vehicle in each charging combination and the target charge. Then, calculate the charging time required for each vehicle to reach the target charge based on the fleet list and the target charge. Because power transfer during vehicle-to-vehicle charging is lossy, and all vehicles must complete their mission, the discharging vehicle must charge a fraction more than required to complete its mission, and this excess charge must be used to charge another vehicle.

[0046] The conditions that need to be met between the power required for the two vehicles in each group to complete the task and the target power of charging in the charging combination are:

[0047] (3)

[0048] in, The target power corresponding to the vehicle with the largest current power in each group, The power demand corresponding to the vehicle with the relatively large current power in each group, The target power corresponding to the vehicle with the relatively small current power in each group, is the required power corresponding to the vehicle with relatively small current power in each group, K is the power conversion rate of vehicle-to-vehicle charging, It is the surplus power, which is a constant value and can be assigned according to demand.

[0049] Step 5: Based on the charging time of each vehicle, calculate the total charging time required for different charging combinations to complete charging. The charging combination with the shortest total charging time is assigned to the optimal fleet.

[0050] The charging time for each vehicle to reach the target charge is calculated as follows:

[0051] (2)

[0052] Among them, I is the charging current, in A. Since each vehicle's battery pack has a "maximum allowable continuous charging current table", this table is obtained by the battery pack supplier based on charging temperature, charging cut-off voltage, battery characteristics, and charging rate tests. Therefore, I can be obtained by looking up the table. is the target power of the i-th vehicle, is the current power of the i-th vehicle, Q i is the battery capacity of the i-th vehicle, The charging time for the i-th vehicle to charge to the target power.

[0053] The maximum charging time for each group in the combined method is used as the charging time for each group, and then the total charging time is summed. (For example, there are four vehicles, numbered C1, C2, C3, and C4. The combination can be [C1, C2] + [C3, C4]. The charging time for C1 is t1, the charging time for C2 is t2, the charging time for C3 is t3, and the charging time for C4 is t4. If t1>t2 and t3>t4, then t1 is used as the charging time for the [C1, C2] combination, and t3 is used as the charging time for the [C3, C4] combination. t1 + t3 is the total charging time for the [C1, C2] + [C3, C4] combination.) The total time for all traversed groups is calculated, and the combination with the shortest time is the optimal fleet allocation.

[0054] The schematic diagram of the vehicle-to-vehicle charging function module of the present invention is as follows Figure 2As shown in the figure, the current flow in the vehicle's battery pack can be categorized as either flowing into the battery pack (charging) or flowing out of the battery pack (discharging). Vehicles with vehicle-to-vehicle charging capabilities must include: a battery energy management system, a DC / DC converter module, a communication module, a human-machine interface (HMI), and a portable vehicle-to-vehicle charging plug. The battery management system is responsible for vehicle-to-vehicle charging and discharging control, calculating basic battery information, charging information, DC / DC voltage across the DC / DC converter, and providing safety protection during the charging process, all based on the HMI settings. The DC / DC conversion module is responsible for voltage step-up and step-down control according to the voltage instructions of the battery management system; the communication module is responsible for communicating and interacting with the charging pile and the charging vehicle; the human-machine interaction module HMI is responsible for receiving the user's settings for vehicle-to-vehicle charging. For example, the plug charging interface can set the "charging target power, charging current, charging time, etc." settings, and the V2V vehicle-to-vehicle charging interface can set the "vehicle charging mode: vehicle-to-vehicle charging, vehicle charging and discharging type: discharging vehicle / charging vehicle, function start, etc."; the charging plugs at both ends of the portable vehicle-to-vehicle charging plug device can be connected to the charging sockets of two vehicles and have energy transmission lines and communication lines. The charging plugs at both ends must meet national standards.

[0055] The functional implementation flow chart of the vehicle-to-vehicle charging fleet charging operation scheduling algorithm of the present invention is as follows: Figure 3 As shown, the following steps are included:

[0056] In step S1, the dispatcher confirms the mileage of the route of the fleet operation task and the number of vehicles planned to be used this time, obtains the basic vehicle data required by the scheduling method, and performs vehicle scheduling according to the combination method calculated by the scheduling method of the present invention.

[0057] Step S2: Before the fleet departs, the target charging power of each vehicle is calculated according to the scheduling method, the target charging power is set in the charging interface of the human-machine interaction module HMI, and the charging pile is connected for charging.

[0058] Step S3, according to the combination method of the present invention, arrange the combined vehicles to depart together, and set the discharge vehicle on the vehicle-to-vehicle charging interface of the human-computer interaction HMI module of the discharge vehicle, and set the charging vehicle and charging power on the vehicle-to-vehicle charging interface of the human-computer interaction HMI module of the charging vehicle.

[0059] In step S4, the driver inserts the plug connector of the portable car-to-car charging plug device into the charging interface of the discharging car and the charging car during a break according to the actual driving situation, and clicks on the car-to-car charging interface of the human-computer interaction HMI module of the discharging car to start discharging.

[0060] In step S5, the battery energy management system calculates and controls the start and end of charging based on the settings of the human-machine interface (HMI) module and the charging information transmitted by the communication module. At the start, the HMI module displays a pop-up window to prompt the driver to display charging-related information. At the end, the HMI module displays a pop-up window to notify the driver and exits the charging interface.

[0061] In step S6, the driver is prohibited from moving the vehicle during the charging process and must unplug the portable vehicle-to-vehicle charging plug device after charging is completed before driving away and continuing to perform the work task.

[0062] The present invention calculates the target power and time for charging at the charging pile based on the initial power information of different vehicles, and effectively groups the fleet. Vehicles with high power in the group can recharge vehicles with low power in the group through vehicle-to-vehicle charging. There is no need to plan collective charging for the fleet, which reduces the overall charging time of the fleet and improves the overall operating efficiency of the fleet.

[0063] Example 2

[0064] This embodiment discloses a charging operation scheduling device based on a vehicle-to-vehicle charging fleet, including:

[0065] The information acquisition module is used to obtain the vehicle information of each vehicle in the fleet to form a fleet list and determine the mileage of the fleet's operation tasks;

[0066] The power calculation module is used to calculate the power required for each vehicle to complete the task based on the fleet list and the mileage of the route;

[0067] The combination configuration module is used to traverse the vehicle list, traverse all the two-vehicle combinations, and obtain different charging combinations;

[0068] The charging time calculation module is used to set the target power for each vehicle based on the conditions that need to be met between the power required for each vehicle in each charging combination to complete the task and the target power. Then, the charging time for each vehicle to reach the target power is calculated based on the fleet list and the target power.

[0069] The optimal combination determination module is used to calculate the total charging time required for different charging combinations based on the charging time of each vehicle, and allocate the charging combination method with the minimum total charging time to the optimal fleet.

[0070] Example 3

[0071] This embodiment discloses a computer-readable storage medium having a computer program / instruction stored thereon. When the computer program / instruction is executed by a processor, the method for scheduling charging operations of a vehicle-to-vehicle charging fleet is implemented.

[0072] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0073] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0074] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0075] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for scheduling charging operations based on a vehicle-to-vehicle charging fleet, characterized by: The following steps are involved: Obtain vehicle information of each vehicle in the fleet to form a fleet list, and determine the mileage of the fleet's operating tasks; Calculate the amount of electricity required for each vehicle to complete the task based on the fleet list and route mileage; Traverse the vehicle list, traverse all the two-vehicle combinations, and obtain different charging combinations; The target power level for each vehicle is set based on the conditions between the power required to complete the mission and the target power level of each vehicle in each charging combination. The charging time required for each vehicle to reach the target power level is then calculated based on the fleet list and the target power level. Based on the charging time of each vehicle, the total charging time required for different charging combinations is calculated respectively, and the charging combination corresponding to the minimum total charging time is allocated as the optimal fleet combination.

2. The method for scheduling charging operations based on a vehicle-to-vehicle charging fleet according to claim 1, characterized in that: The fleet list includes the current power level, battery capacity, battery rated voltage and vehicle energy consumption per 100 kilometers.

3. The method for scheduling charging operations based on a vehicle-to-vehicle charging fleet according to claim 2, characterized in that: The calculation method of the power required for each vehicle to complete the task is: （1） Among them, L is the mileage of the route, E i is the energy consumption per 100 kilometers of the i-th vehicle, Q i is the battery capacity of the i-th vehicle, V i is the rated voltage of the battery of the i-th vehicle, Need_SOC i The amount of electricity required for the i-th vehicle to complete the route mileage L.

4. The method for scheduling charging operations based on a vehicle-to-vehicle charging fleet according to claim 1, characterized in that: The vehicle list is traversed to traverse all pairs of vehicles and obtain different charging combinations: When the total number of vehicles is an even number, the vehicles are directly combined into pairs. When the total number of vehicles is an odd number, the extra vehicle is treated as a separate group.

5. The method for scheduling charging operations based on a vehicle-to-vehicle charging fleet according to claim 1, characterized in that: The conditions that need to be met between the power required for the two vehicles in each group to complete the task and the target power of charging in the charging combination are: （3） in, The target power corresponding to the vehicle with the largest current power in each group, The power demand corresponding to the vehicle with the relatively large current power in each group, The target power corresponding to the vehicle with the relatively small current power in each group, is the required power corresponding to the vehicle with relatively small current power in each group, K is the power conversion rate of vehicle-to-vehicle charging, For ample power.

6. The method for scheduling charging operations based on a vehicle-to-vehicle charging fleet according to claim 1, characterized in that: The calculation method for charging each vehicle to the target power is: （2） Where I is the charging current, is the target power of the i-th vehicle, is the current power of the i-th vehicle, Q i is the battery capacity of the i-th vehicle, The charging time for the i-th vehicle to charge to the target power.

7. The method for scheduling charging operations based on a vehicle-to-vehicle charging fleet according to claim 1, characterized in that: The target power for charging each vehicle must meet the following requirements: the time difference between the charging times of the groups in the charging combination must not exceed the minimum charging time difference TBD_t.

8. The method for scheduling charging operations based on a vehicle-to-vehicle charging fleet according to claim 1, characterized in that: The total charging time required to complete charging in different charging combinations is calculated based on the charging time of each vehicle, including: The larger value of the charging time of each group in the power combination mode is taken as the charging time of each group, and then the charging time of each group is summed up to obtain the total charging time.

9. A charging operation scheduling device based on a vehicle-to-vehicle charging fleet, characterized by: include: The information acquisition module is used to obtain the vehicle information of each vehicle in the fleet to form a fleet list and determine the mileage of the fleet's operation tasks; The power calculation module is used to calculate the power required for each vehicle to complete the task based on the fleet list and the mileage of the route; The combination configuration module is used to traverse the vehicle list, traverse all the two-vehicle combinations, and obtain different charging combinations; The charging time calculation module is used to set the target power for each vehicle based on the conditions that need to be met between the power required for each vehicle in each charging combination to complete the task and the target power. Then, the charging time for each vehicle to reach the target power is calculated based on the fleet list and the target power. The optimal combination determination module is used to calculate the total charging time required for different charging combinations based on the charging time of each vehicle, and allocate the charging combination method with the minimum total charging time to the optimal fleet.

10. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instruction is executed by a processor, the charging operation scheduling method for a vehicle-to-vehicle charging fleet described in any one of claims 1-8 is implemented.

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