Dynamic balanced load distribution implementation method for guide rail type intelligent ordered shared charging
Through the dynamic balanced load allocation implementation method of guide-type intelligent and orderly shared charging, the problems of low charging efficiency and uneven resource allocation of traditional charging piles are solved, and the optimized configuration and efficient utilization of charging resources are realized.
Patent Information
- Application Number
- CN202510143483.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-10
- Publication Date
- 2025-04-15
AI Technical Summary
Traditional fixed charging piles have problems such as low charging efficiency and uneven distribution of electricity resources.
The dynamic balanced distribution method of rail-type intelligent and orderly shared charging is adopted to realize the load of the main line, and the trunk line with the minimum load is found, and the movable charging pile is transported to the target parking space through a robot to achieve the optimized configuration of charging resources.
The charging efficiency and resource utilization rate are improved, the load balance of each main line is achieved, the idle time of charging piles is reduced, and the resource utilization rate of charging facilities is improved.
Smart Images

Figure CN119821193A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of new energy vehicle charging technology, and specifically to a method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging, in particular to a technology and implementation method for dynamic load balancing distribution of a rail-type intelligent orderly charging system for new energy vehicles. Background Art
[0002] With the popularity of new energy vehicles, the demand for charging piles is growing. Traditional fixed charging piles have problems such as low charging efficiency and uneven distribution of power resources. Summary of the invention
[0003] In view of the shortcomings of the prior art, the present invention provides a method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging, which aims to solve the problems of uneven load distribution and low charging efficiency of new energy vehicle charging piles in the prior art. In order to improve charging efficiency and resource utilization, the present invention proposes a rail-type intelligent orderly charging system, which realizes the optimal configuration of charging resources through load dynamic balancing distribution technology.
[0004] To achieve the above object, the present invention provides the following technical solutions: A method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging comprises the following steps: Step S1: according to the received task, count the actual current load of the trunk line; Step S2: Find the trunk line with the minimum load according to the actual load condition; Step S3: Locking the switch of the minimum load trunk line that needs to be connected in combination with the target parking space for charging; Step S4: Use the robot to move the movable charging pile to the target parking space and power up the target parking space.
[0005] As a further solution of the present invention, at least three trunk lines are included, namely trunk lines L1, L2, and L3.
[0006] As a further solution of the present invention, n charging branches are arranged on each trunk line, and each charging branch corresponds to a switch.
[0007] As a further solution of the present invention, a plurality of movable charging piles and at least one transport robot are provided.
[0008] As a further solution of the present invention, if three main lines are included, the number of charging piles currently being charged on the main line L1 is Q1=S1-A + S2-A + .. + Sn-A, the number of charging piles currently being charged on L2 is Q2=S1-B +S2-B+ .. + Sn-B, and the number of charging piles currently being charged on L3 is Q3=S1-C + S2-C + .. + Sn-C.
[0009] As a further solution of the present invention, if the minimum load trunk line is the trunk line L1, the switch to be turned on this time is locked in combination with the charging target parking space: Sn-A, and the robot is waited to transport the movable charging pile to the target parking space, and the target parking space is powered on to turn on the switch: Sn-A.
[0010] As a further solution of the present invention, if the trunk line with the minimum load is the trunk line L2, the switch to be turned on this time is locked in combination with the charging target parking space: Sn-B, and the robot is waited to transport the movable charging pile to the target parking space, and the switch: Sn-B is powered on to turn on the target parking space.
[0011] As a further solution of the present invention, if the minimum load trunk line is the trunk line L3, the switch to be turned on this time is locked in combination with the charging target parking space: Sn-C, and the robot is waited to transport the movable charging pile to the target parking space, and the target parking space is powered on to turn on the switch: Sn-C.
[0012] The present invention has the following beneficial effects: The present invention realizes the optimal configuration of charging resources and improves charging efficiency and resource utilization through dynamic load balancing distribution technology. Specifically, it has high efficiency, which reduces the idle time of charging piles and improves charging efficiency by dynamically distributing loads. Balance, which realizes the load balance of each trunk line and avoids the situation where some lines are overloaded while other lines are idle. Intelligence, which realizes the automatic movement and intelligent scheduling of charging piles by using handling robots and intelligent control systems.
[0013] In order to more clearly illustrate the structural features and effects of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] Figure 1 It is a conventional fixed charging pile in the prior art.
[0015] Figure 2 This is a schematic diagram of the application scenario of the rail-type intelligent orderly shared charging mentioned in the present invention.
[0016] Figure 3 This is the rail-type intelligent orderly shared charging-load dynamic balanced distribution implementation method mentioned in the present invention. DETAILED DESCRIPTION
[0017] The present invention will be further explained below in conjunction with the accompanying drawings and related knowledge, and described clearly and completely. Obviously, the described application is only a part of the embodiments of the present invention, rather than all the embodiments.
[0018] The method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging solves the problems of low charging efficiency and uneven distribution of electric energy resources in traditional fixed charging piles. Figure 1 What is shown in FIG. 1 is a conventional fixed charging pile in the prior art.
[0019] Reference Figure 2-Figure 3 As shown, the present invention provides a method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging, comprising the following steps: Step S1: according to the received task, count the actual current load of the trunk line; Step S2: Find the trunk line with the minimum load according to the actual load condition; Specifically, it includes data processing: Algorithm comparison: Use sorting algorithms or search algorithms, such as bubble sort, quick sort, sequential search, etc., to compare the load data of each trunk line and find the trunk line with the smallest load. For example, in a charging network with multiple branches, the system uses an algorithm to quickly determine which trunk line currently has the lightest load.
[0020] Step S3: Locking the switch of the minimum load trunk line that needs to be connected in combination with the target parking space for charging; Specifically, it includes switch control: according to the position relationship and connection logic between the target parking space and the trunk line, the switch on the corresponding minimum load trunk line is found. Then, through the intelligent switch controller, a control instruction is sent to lock the switch and prepare to supply power to the target parking space.
[0021] Step S4: Use the robot to carry the movable charging pile to the target parking space and power on the target parking space. Specifically including: Robot control: The central control system sends a handling task instruction to the charging robot, including the location information of the target parking space, etc. After receiving the instruction, the charging robot plans the best path according to its own navigation system and moves to the designated charging pile position along the guide rail. Charging pile transportation: The robot grabs the movable charging pile through a robotic arm or other carrying device, and carries it above or next to the target parking space. Power-on operation: After the central control system recognizes that the robot carries the mobile charging pile to the target parking space, it controls the corresponding main circuit contactor of the target parking space to be energized, completes the power-on operation, and starts charging the vehicle.
[0022] In the field of new energy vehicle charging, the technology of dynamic load balancing is of great significance. This technology uses intelligent sensors and data analysis systems to monitor the load of charging piles and vehicle charging needs in real time. It can dynamically allocate charging resources according to the power grid conditions and demand changes in different scenarios and time, and evenly distribute the load to each charging pile to avoid some being overloaded and some being idle. It not only reduces the waiting time for vehicle charging and improves charging efficiency, but also improves the resource utilization rate of charging facilities, reduces the cost of charging facility operations, and promotes the development of the new energy vehicle industry.
[0023] Reference Figure 2 As shown, the main steps of the process of the method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging are: providing at least three trunk lines, namely trunk lines L1, L2, and L3, each trunk line is provided with n charging branches, and each charging branch corresponds to a switch, for example, Figure 2 In the main line L1, L1-1 corresponds to the switch S1-A.
[0024] Further preferred, refer to Figure 2 As shown, several movable charging piles and at least one transport robot are provided, and the movable charging piles are moved to the target position by the transport robot. Preferably, if three main lines are included, the number of charging piles currently being charged on the main line L1 is Q1=S1-A + S2-A + .. + Sn-A, the number of charging piles currently being charged on L2 is Q2=S1-B +S2-B + .. + Sn-B, and the number of charging piles currently being charged on L3 is Q3=S1-C + S2-C + ..+ Sn-C.
[0025] Reference Figure 3 As shown, the flow chart of the implementation method of rail-type intelligent orderly shared charging-load dynamic balanced distribution is as follows, specifically, the current actual load conditions Q1, Q2, and Q3 of L1, L2, and L3 are counted respectively, and the minimum value Qmin is found. If Qmin = Q1, the switch to be turned on this time is locked in combination with the charging target parking space: Sn-A, and the robot is waited to move the movable charging pile to the target parking space, and the switch to the target parking space is powered on and turned on: Sn-A; if Qmin = Q2, the switch to be turned on this time is locked in combination with the charging target parking space: Sn-B, and the robot is waited to move the movable charging pile to the target parking space, and the switch to the target parking space is powered on and turned on: Sn-B; if Qmin = Q3, the switch to be turned on this time is locked in combination with the charging target parking space: Sn-C, and the robot is waited to move the movable charging pile to the target parking space, and the switch to the target parking space is powered on and turned on: Sn-C.
[0026] That is to say, the trunk line and charging branch are set: at least three trunk lines are provided, such as L1, L2, and L3, and n charging branches are set on each trunk line. Each charging branch corresponds to a switch, such as L1-1 in the trunk line L1 corresponds to switch S1-A. Number of charging piles: If there are three trunk lines, the number of charging piles currently being charged on each trunk line is counted, Q1=S1-A+S2-A+…+Sn-A on L1, Q2=S1-B+S2-B+…+Sn-B on L2, and Q3=S1-C+S2-C+…+Sn-C on L3. Load situation statistics and comparison: The current actual load situation Q1, Q2, and Q3 of L1, L2, and L3 are counted respectively, and the minimum value Qmin is found. Switch lock: If Qmin=Q1, lock switch Sn-A in combination with the target parking space for charging; if Qmin=Q2, lock switch Sn-B; if Qmin=Q3, lock switch Sn-C. Charging pile transport and power on: Wait for the transport robot to transport the movable charging pile to the target parking space, then turn on the corresponding switch Sn-A, Sn-B or Sn-C to power on the target parking space.
[0027] The technical principle of the present invention is described above in combination with the specific embodiments, which are only preferred implementations of the present invention. The protection scope of the present invention is not limited to the above embodiments, and all technical solutions under the idea of the present invention belong to the protection scope of the present invention. Those skilled in the art can think of other specific implementations of the present invention without creative work, and these methods will fall within the protection scope of the present invention.
Claims
1. A method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging, characterized in that: The following steps are involved: Step S1: according to the received task, count the actual current load of the trunk line; Step S2: Find the trunk line with the minimum load according to the actual load condition; Step S3: Locking the switch of the minimum load trunk line that needs to be connected in combination with the target parking space for charging; Step S4: Use the robot to move the movable charging pile to the target parking space and power up the target parking space.
2. The method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging according to claim 1, characterized in that: It includes at least three trunk lines, namely trunk lines L1, L2 and L3.
3. The method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging according to claim 2, characterized in that: Each trunk line is provided with n charging branches, and each charging branch corresponds to a switch.
4. The method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging according to claim 3 is characterized in that: Several movable charging piles and at least one transport robot are provided.
5. The method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging according to claim 4, characterized in that: If three trunk lines are included, the number of charging piles currently being charged on the trunk line L1 is Q1=S1-A + S2-A+ .. + Sn-A, the number of charging piles currently being charged on L2 is Q2=S1-B +S2-B + .. + Sn-B, and the number of charging piles currently being charged on L3 is Q3=S1-C + S2-C + .. + Sn-C.
6. The method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging according to claim 5, characterized in that: If the trunk line with the smallest load is the trunk line L1, the switch to be turned on this time is locked in combination with the charging target parking space: Sn-A, and the robot is waited for to carry the movable charging pile to the target parking space, and the switch: Sn-A is powered on to the target parking space.
7. The method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging according to claim 5, characterized in that: If the trunk line with the smallest load is the trunk line L2, the switch to be turned on this time is locked in combination with the charging target parking space: Sn-B, and the robot is waited for to carry the movable charging pile to the target parking space, and the target parking space is powered on to turn on the switch: Sn-B.
8. The method for realizing dynamic load balancing distribution of rail-type intelligent orderly shared charging according to claim 5, characterized in that: If the trunk line with the smallest load is the trunk line L3, the switch to be turned on this time is locked in combination with the charging target parking space: Sn-C, and the robot is waited for to carry the movable charging pile to the target parking space, and the switch: Sn-C is powered on to the target parking space.