Landing allocation strategy based on high-power platform semi-matrix model

Through the semi-matrix model of the high-power platform and the priority dynamic allocation strategy, the dynamic power demand conflicts in different vehicles and the same vehicle in the resource allocation of charging piles are solved, and the power secondment and priority allocation between groups are realized, which improves charging efficiency and user experience.

CN120278426APending Publication Date: 2025-07-08CAMS NEW ENERGY TECH CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202510288444.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-12
Publication Date
2025-07-08

AI Technical Summary

Technical Problem

The existing charging pile resource allocation strategy is difficult to meet the dynamic power needs of different vehicles and different charging stages of the same vehicle, resulting in conflicts and affecting user experience and system efficiency.

Method used

Using a semi-matrix model based on a high-power platform, the power secondment and priority dynamic allocation is realized by calculating the power module requirements table, secondment requirements and arbitration rules, and the resource allocation is optimized by combining the full matrix and the semi-matrix model.

Benefits of technology

The overall efficiency of the system is optimized, the charging efficiency is improved by 30%, ensuring charging guarantee for high-priority users, while avoiding the loss of rights and interests of low-priority users, improving system stability and user experience.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120278426A_ABST
    Figure CN120278426A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of new energy charging piles, in particular to a loaning distribution strategy based on a high-power platform semi-matrix model. A charging system is divided into a group A and a group B, a full-matrix model is adopted in each group, semi-matrix connection is formed between the groups through DC + / DC-double contactors, and cross-group power borrowing is achieved. The method comprises the following specific steps: calculating a preliminary power module demand table, generating and arbitrating a borrowing demand, and generating an action plan table after redistributing modules. Through priority dynamic allocation and an arbitration rule (priority is high and under-power magnitude is high), dynamic power demand conflicts of different vehicles and the same vehicle in different charging stages are balanced, and the module utilization rate and the charging efficiency are improved. Experiments show that the strategy improves the overall charging efficiency, simplifies the module switching logic, enhances the system stability, and gives consideration to the guarantee of high-priority users and the rights and interests of low-priority users.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of new energy charging piles, and particularly relates to a borrowing and allocation strategy based on a semi-matrix model of a high-power platform. Background Art

[0002] With the rapid popularization of electric vehicles, charging piles, as the core infrastructure for energy supply to electric vehicles, have an important impact on user experience and grid stability. In large-scale charging scenarios, the charging requirements of different vehicles vary, and the allocation efficiency of charging pile resources directly affects the service capacity of the overall charging network. However, current charging pile resource allocation strategies mostly adopt fixed power allocation or simple global balancing methods, which are difficult to meet the complex requirements of electric vehicles for charging time, power scheduling, and dynamic priorities.

[0003] Under a high-power platform, charging piles usually need to address the following challenges:

[0004] 1. Different vehicles have different charging power requirements: The battery capacities, current battery states, and charging rate requirements of different vehicles are all different.

[0005] 2. The power requirements of the same vehicle at different charging stages are different: For the same electric vehicle, at different stages of its charging, its required power will also show different power requirements due to factors such as battery state and temperature.

[0006] 3. Optimization of user experience: It is necessary to balance the charging speed and the overall system efficiency, while taking into account the priority requirements of users (such as emergency charging vehicles).

[0007] Therefore, how to solve the problem of dynamic power demand conflicts for different vehicles and different charging stages of the same vehicle is a research direction to be explored. Summary of the Invention

[0008] The technical problem to be solved by the present invention is to balance the dynamic power demand conflicts of different vehicles and different charging stages of the same vehicle, achieve inter-group power borrowing and dynamic priority allocation, and balance the overall system efficiency and user fairness.

[0009] In view of the deficiencies of the prior art, the technical solution adopted by the present invention to solve its technical problems is: a borrowing and allocation strategy based on a semi-matrix model of a high-power platform, including the following steps:

[0010] The first step: Calculate and obtain a preliminary power module requirement table, divide the charging system into group A and group B, each group is a full-matrix model internally and includes several modules, and a semi-matrix connection is formed between group A and group B through an intermediate contactor; including calculating the power module requirement table of group A through a full-matrix strategy, and calculating the power module requirement table of group B through a full-matrix strategy;

[0011] Step 2: Calculate the seconded demand. Calculate the in-group and cross-group seconded demands according to the vehicle priorities and the power module demand table in Step 1.

[0012] Step 3: Arbitrate the seconded demand and obtain the secondment form. Use the arbitration rules to arbitrate the seconded demands of Group A and Group B to obtain the final secondment form.

[0013] Step 4: Based on the final secondment form in Step 3, recalculate the power module demand table to obtain the secondary power module demand table.

[0014] Step 5: Generate the module cut-in / cut-out action plan form based on the secondary power module demand table in Step 4.

[0015] Step 6: Execute the action plan form. Execute the dynamic allocation of modules according to the action plan forms of Group A and Group B.

[0016] Preferably, the intermediate contactor is a DC+ / DC- dual contactor, which supports the cross-group call of power modules by the terminal gun.

[0017] Preferably, the arbitration rules involved in Step 3 include:

[0018] First, judge the priorities. The one with the higher gun priority wins, and the power of the opposite group is allowed to be seconded.

[0019] If the gun priorities are the same, the one with the higher under-power wins, and the power of the opposite group is allowed to be seconded.

[0020] If the priorities of both sides are the same and the under-power is the same, no secondment signal is generated.

[0021] Preferably, the full matrix strategy calculation in Step 1 includes the following contents:

[0022] (a) Allocate at least one power module to each vehicle.

[0023] (b) Give priority to meeting the power demands of high-priority vehicles.

[0024] (c) For vehicles with the same priority, allocate the remaining modules according to the under-power magnitude.

[0025] Preferably, the number of modules for the power demand of high-priority vehicles is m, and m = Pn / Pmdl, where Pn is the demand power of the nth charging vehicle, and Pmdl is the power value that each power module can provide.

[0026] Preferably, several modules are all connected to the terminal charging gun through the PDU, and the PDU is one-in and four-out.

[0027] The beneficial effects of the present invention are as follows: It solves the problem of dynamic power demand conflicts in different vehicles and different charging stages of the same vehicle, realizes power borrowing between groups and dynamic priority allocation, and optimizes the charging guarantee for high-priority users; it balances the overall system efficiency and user fairness, and avoids the loss of rights and interests of low-priority users caused by resource preemption.

[0028] Efficiency improvement: By reducing the module idle rate through inter-group borrowing, experimental data show that the overall charging efficiency is increased by 30%;

[0029] System stability improvement: The module switching logic is simplified to avoid conflicts in complex scenarios (such as mutual borrowing arbitration rules). BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is the electrical topology diagram compliant with the strategy of the present invention;

[0031] Figure 2 is the relationship between the modules and the PDU involved in the present invention;

[0032] Figure 3 is the basic process of the borrowing strategy of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments. The embodiments of the present invention are given for the purpose of illustration and description, and are not exhaustive or limited to the disclosed form. Many modifications and variations are obvious to those of ordinary skill in the art. The embodiments are selected and described to better illustrate the principles and practical applications of the present invention, and enable those of ordinary skill in the art to understand the present invention and thus design various embodiments with various modifications suitable for specific purposes.

[0034] Problems to be solved by the present invention:

[0035] 1. Give full play to the electrical characteristics of the overall semi-matrix model, so that the module can meet the power requirements of different electric vehicles and different charging stages of the same electric vehicle as much as possible;

[0036] 2. Give full play to the electrical characteristics of the local full-matrix model, so that the module can meet the power requirements of different electric vehicles and different charging stages of the same electric vehicle as much as possible;

[0037] 3. Give full play to the priority scheduling strategy: The priority allocation mechanism aims to give priority to meeting the charging needs of high-priority users. By dynamically adjusting the power allocation strategy, as much charging power as possible is allocated to high-priority users, so as to ensure that their charging needs are given priority guarantee;

[0038] 4. Ensure the charging needs of low-priority users: Ensure the charging rights and interests of low-priority users so that they are not completely preempted by high-priority users for charging power resources;

[0039] To solve the above technical problems, the present invention optimizes the charging pile resource allocation through a semi-matrix model and a priority scheduling mechanism, improving the charging efficiency and user experience. As Figure 1 shown is the electrical topology diagram followed by the method of the present invention. Structurally, the electrical system is divided into Group A module pool and Group B module pool. Group A module pool and Group B module pool are connected by No. 1 intermediate contactor and No. 2 intermediate contactor (both No. 1 intermediate contactor and No. 2 intermediate contactor are in pairs, i.e., DC+ / DC- contactors). Each of Group A module pool and Group B module pool internally constitutes a full matrix model, and there is a limited connection between groups, so as a whole, it constitutes a semi-matrix model.

[0040] Each group internally also includes several modules and corresponding output terminals (charging gun terminals). Each module in each module pool has a corresponding PDU (PDU is an integrated product). Each PDU is one-in-four-out, that is, the output of each module can finally be output to the 1st to 4th circuits. The relationship between the module and the PDU Figure 2 is shown as follows: Therefore, all the modules in each group can be arbitrarily switched to the guns within the same group, thus realizing full matrix distribution electrically. As Figure 1 shown, Group A module pool and Group B module pool are hereinafter referred to as Group A and Group B respectively. The power routing between Group A and Group B is realized through No. 1 intermediate contactor and No. 2 intermediate contactor. Thus, Guns No. 1, 4, 5, and 8 have the opportunity to obtain all the power modules of Group A and Group B.

[0041] As Figure 3 shown is the basic process of the borrowing strategy of the present invention, which will be described in detail below:

[0042] The first step: Calculate and obtain a preliminary power module demand table through the full matrix strategy, including calculating the preliminary power module demand table of Group A through the full matrix strategy for Group A, and calculating the preliminary power module demand table of Group B through the full matrix strategy for Group B.

[0043] Based on the start-up status of the current guns in Group A / B, the required power of the guns (i.e., the power demand from the vehicle end), and the priority of the guns, calculate the power module demand table for each gun in Group A / B. This calculation is a preliminary calculation, and Group A and Group B are calculated independently without affecting each other. The calculation results will be used in the subsequent steps. This processing is to make the guns in each group give priority to using the power modules within the same group as much as possible.

[0044] The specific details of calculating the preliminary power module demand table through the full matrix strategy are as follows:

[0045] 1. Collect the required power Pn of the nth charging vehicle EVn: When the first vehicle EV1 comes to charge, during the charging process, the charging pile can obtain the required power of EV1 as P1; when the second vehicle EV2 comes to charge, it can obtain the required power of EV2 as P2... Similarly, EVn can also obtain the required power Pn;

[0046] 2. Now, EV1, EV2... EVn are charging on Group A.

[0047] 1) First of all, anyway, at least allocate 1 module to each vehicle; then the required power module for each vehicle becomes 1; (The power module is the power unit in the charging pile and cannot be further divided. The power module will provide charging power to the vehicle);

[0048] 2) Then meet the requirements of high-priority vehicles. For example, if EV1 is a high-priority vehicle, then give priority to meeting its requirements. Assume that the power value that each power module can provide is Pmdl. Then the number of additional required modules for EV1 is (P1 - 1 * Pmdl) / Pmdl. Here, 1 is the number of modules already allocated in the previous step; but it needs to be considered that if there are not enough modules, then the required number of modules cannot be allocated. Assume that the number of modules is sufficient. Then EV1 can finally obtain the power of m modules, m = (P1 - 1 * Pmdl) / Pmdl + 1 = P1 / Pmdl;

[0049] 3) If the vehicle priorities are the same (including all being high-priority vehicles), then the power modules will be evenly supplied to all vehicles. Specifically, first judge whether the power shortage of each vehicle is greater than Pmdl. If the power shortage is greater than Pmdl, then allocate another module to this vehicle. After one round of allocation, continue to allocate according to this logic until there are no modules left, or the power shortage of all vehicles is already less than the output power Pmdl of a single module. Finally, if there are still surplus modules, then sort according to the size of the power shortage of the vehicles, and those with more power shortage will be given priority to obtain the remaining modules until the modules are allocated; or the required power of all vehicles is already in surplus, then there may be spare modules.

[0050] If EV1, EV2... EVn are charging on Group B, then the allocation is also carried out according to the above logic.

[0051] Note that the obtained required module table (for example: EV1 needs 1 module; EV2 needs 3... EVn needs x modules) through the above is only the preliminary allocation result, which is only the allocation result within its own group. In subsequent steps, situations such as there are spare modules in Group B and the modules in Group B can also be allocated to Group A for use need to be considered.

[0052] Step 2: Calculate the borrowing requirements. Based on the preliminary power module requirement table calculated in the first step, calculate the power borrowing requirements of Group A from Group B and the power borrowing requirements of Group B from Group A:

[0053] In the half-matrix topology, as Figure 1 , Figure 2 shown, Guns 1, 4, 5, and 8 are special guns. They can borrow from the module pool of the opposite end through the intermediate contactor. During charging, it may happen that all the vehicles are charging at Guns 1, 2, 3, 4 (i.e., on the Group A side). At this time, all the modules in Group A are used up, but the module pool of Group B has not been utilized yet. To improve the module utilization efficiency, it is necessary to borrow the modules of Group B for the guns in Group A to use at this time. However, at the same time, due to the limitation of the electrical topology, if Guns 1 and 5 are charging simultaneously, the intermediate contactor cannot be closed, otherwise the different voltages will conflict; similarly, the same problem exists for Guns 4 and 8. Therefore, for Guns 1 and 5, only when the other is idle can they borrow the modules in the module pool of the other; the same logic applies to Guns 4 and 8. There is also another problem. If the power of both Group A and Group B is insufficient and both want to borrow modules from the other, arbitration is required between them at this time.

[0054] According to the preliminary power module requirement tables of Group A and Group B calculated previously for A / B, check whether the current requirement table can meet the power requirements of each gun. If the current power requirements cannot be met and the gun numbers are 1, 4, 5, or 8, borrowing requirements are generated. The so-called borrowing requirements mean that all the online power modules within the group cannot meet the power requirements of the guns in the group.

[0055] Step 3: Arbitrate the borrowing requirements and obtain the borrowing table. Arbitrate the borrowing requirements of Group A and Group B to obtain the final borrowing table;

[0056] The power borrowing needs to meet the following logics:

[0057] 1) The opposite-end gun cannot be in the starting state, otherwise the borrowing requirement is invalid. Guns 1 and 5 form the opposite-end guns, and Guns 4 and 8 form the opposite-end guns. For example, if both Guns 1 and 5 are in the starting state and Gun 1 generates a borrowing requirement, then this borrowing requirement will be rejected;

[0058] 2) For the final borrowing requirements, the situation where Group A borrows from Group B and Group B borrows from Group A cannot occur simultaneously. That is, only Group A can borrow from Group B or Group B can borrow from Group A. This is to simplify the entire borrowing logic and prevent the occurrence of complex scenarios that lead to complex power module switching logics. When there is a mutual borrowing between Group A and Group B, the final borrowing table is obtained through the arbitration rules. The arbitration rules are as follows:

[0059] a) First, judge the priority. The gun with the higher priority wins, and borrowing the power of the opposite group is allowed;

[0060] b) If the gun priorities are the same, the one with higher under-power wins, and borrowing power from the opposite group is allowed.

[0061] c) If the priorities of both sides are the same and the under-power is the same, no borrowing signal is generated.

[0062] Step 4: Based on the borrowing table, recalculate to obtain the secondary power supply module requirement table; specifically, based on the preliminary requirements of Group A and the borrowing table, recalculate to obtain the secondary power supply module requirement table for Group A; based on the preliminary requirements of Group B and the borrowing table, recalculate to obtain the secondary power supply module requirement table for Group B.

[0063] For example, if power borrowing occurs for Gun 1 in Group A in the borrowing table, then map the under-power requirements, priorities, etc. of Gun 1 in Group A to the power requirements and priorities of Gun 5 in Group B. Then, calculate the power supply module requirement table for Group B based on this information. After the calculation, hang the power supply module requirements corresponding to Gun 5 in Group B into the requirement table of Gun 1 in Group A. In this case, the power supply module composition of Gun 1 in Group A includes the power supply modules in the module pool of Group A and the power supply modules borrowed from the module pool of Group B. Conversely, if Gun 5 in Group B borrows the power of Group A, Gun 4 in Group A borrows the power of Group B, and Gun 8 in Group B borrows the power of Group A, the calculation is also carried out in the same way.

[0064] The specific process is as follows:

[0065] 1) Determine whether the required power is still insufficient after the module allocation in Step 1 for Gun 1 and Gun 4 in Group A, and Gun 5 and Gun 8 in Group B (modules cannot be borrowed for 2, 3, 6, and 7). If the power requirements of these guns (corresponding to EV) are still not met, then record their borrowing requests and the lacking power, and form a table.

[0066] 2) Arbitrate the borrowing requests. If both Gun 1 and Gun 5 have requests to borrow modules at the same time, then this cannot be satisfied. In this case, deny the module borrowing requests of both Gun 1 and Gun 5; similarly, the same logic applies to Gun 4 and Gun 8. If both Gun 1 and Gun 8 have borrowing requests at the same time, first look at their priorities. The side with higher priority wins directly, and the borrowing request of the other side is denied; at the same time, the same logic applies to Gun 4 and Gun 5.

[0067] 3) Through the above two steps, a borrowing table similar to the following can be obtained. For example, Gun 1 needs to borrow the power of P1b from Group B; or Gun 5 needs to borrow the power of P5a from Group A.

[0068] Step 5: Based on the secondary power supply module requirement table in Step 4, calculate the action plan table; based on the secondary power supply module requirement tables of Group A and Group B respectively, generate the power supply module cut-in and cut-out action plan tables:

[0069] The so-called action plan table refers to the process of turning on and off the power modules on each gun. First, turn off the redundant or poached power modules on each gun; then, turn on the idle modules in the module pool to the guns that have won more modules in the competition.

[0070] Step 6: Execute the action plan table. Based on the action tables of Group A and Group B, perform the dynamic allocation of modules.

[0071] The detailed process of specifically executing the action plan table includes operations such as step-down and step-up of modules, opening and closing of contacts, etc. 1) After going through Steps 1, 2, and 3 and reaching Step 4, we already have a module borrowing table. For example, Gun No. 1 needs to borrow the power of P1b from Group B. 2) At this time, the gun that needs to borrow power is simulated as the opposite-end gun, and a new power demand calculation is carried out. For example: Gun No. 1 needs to borrow the power of P1b from Group B. Since Gun No. 1 has a borrowing demand, Gun No. 5 at the opposite end must be idle. So, pretend Gun No. 1 as Gun No. 5. Gun No. 5 inherits the insufficient power and priority of Gun No. 1, and then participates in Group B again with 5 to perform a demand calculation similar to that in the first step. After the calculation is completed, the allocated required modules are given to Gun No. 1. In this way, we can get the following table: Gun No. 1 needs, for example, 2 modules in Group A and borrows, for example, 2 modules in Group B.

[0072] Now there is such a table: The No. 1 gun has a demand for, say, 2 modules in Group A and a borrowing demand for, say, 2 modules in Group B. However, since the vehicle's demand is dynamic, the actual demand power of the vehicle is constantly changing, which means the modules allocated to the vehicle are also dynamically adjusted; or it may be that due to the arrival of a vehicle with a higher priority, it grabs the modules of a vehicle with a lower priority; or a vehicle stops, and the excess modules can be allocated to the currently charging vehicle. Therefore, the current demand table needs to be compared with the previous demand table to know how to cut in and cut out this time, so as to gradually evolve from the current state to the target state to meet the actual needs of the current vehicle. For example, during the previous policy calculation (the policy calculation runs at regular intervals, which is fixed at once every 3 minutes when there is no vehicle start or stop, and this is an empirical time), the No. 1 gun had a demand for, say, 1 module in Group A and no borrowed modules in Group B. So it can be known that this time, 1 module needs to be selected from the modules in Group A and given to the No. 1 gun, and at the same time, 2 modules need to be selected from the module pool in Group B and given to the No. 1 gun. Only in this way can the current demand of the No. 1 gun be met. By comparing the current demand with the current actual operating situation (that is, the result of the previous time), the action plan table required this time can be obtained. In the above example, it is that the No. 1 gun needs to reallocate one more module from the module pool in Group A; the No. 1 gun needs to borrow 2 modules from the module pool in Group B. The software will select idle modules or modules that are about to be cut out and allocate them. After having the action table, the specific implementation of the sixth step can be started. First, cut out the modules (since the cut-out modules may be about to be used by other guns, so it must be to cut out the modules first and then cut in the modules). For example, if the No. 1 gun needs to reallocate one more module in Group A, it may be directly an idle module or a module taken from the No. 2 gun; the same operation logic applies to Group B as well.

[0073] In practice, this process is executed once every 3 minutes. Within 3 minutes, the system will record the changes in vehicle power demand, priority changes, online or faulty module changes, online or faulty PDU changes as input parameters for the policy. In this way, when the vehicle power increases, more modules can be allocated, and when the power decreases, modules can be saved. The above 3 minutes is a practical value. On the one hand, this time interval will not cause the power switch to be too frequent, and on the other hand, it can basically meet the vehicle-end power change requirements.

[0074] Through the semi-matrix model and the priority dynamic allocation mechanism, the present invention effectively solves the problem of complex power demand conflicts in high-power charging platforms. The technical solution makes full use of the flexibility of the full-matrix model to optimize resources within the group, combines the semi-matrix topology to support cross-group power borrowing, and significantly reduces the module idle rate. Through the priority arbitration rule and the dynamic action plan table, the charging guarantee for high-priority users is ensured, while preventing the resources of low-priority users from being completely preempted. In addition, the module allocation logic is simplified and the timing adjustment mechanism, such as updating every 3 minutes, further improves the system response speed and stability.

Claims

1. A secondment allocation strategy based on a semi-matrix model of a high-power platform, characterized in that It includes the following steps: The first step: Calculate and obtain a preliminary power module requirement table. Divide the charging system into Group A and Group B. Each group is a full matrix model internally and includes several modules. A semi-matrix connection is formed between Group A and Group B through an intermediate contactor. It includes calculating the power module requirement table for Group A through a full matrix strategy calculation and calculating the power module requirement table for Group B through a full matrix strategy calculation. The second step: Calculate the borrowing requirement. Calculate the in-group and cross-group borrowing requirements according to the vehicle priority and the power module requirement table in the first step. The third step: Arbitrate the borrowing requirement and obtain a borrowing table. Use the arbitration rule to arbitrate the borrowing requirements of Group A and Group B to obtain the final borrowing table. The fourth step: Based on the final borrowing table in the third step, recalculate the power module requirement table to obtain a secondary power module requirement table. The fifth step: Generate a module cut-in / cut-out action plan table based on the secondary power module requirement table in the fourth step. The sixth step: Execute the action plan table. Execute the dynamic allocation work of the modules according to the action plan tables of Group A and Group B.

2. The secondment allocation strategy based on the semi-matrix model of the high-power platform according to claim 1, characterized in that The intermediate contactor is a DC+ / DC- double contactor, which supports the cross-group call of power modules by the terminal gun.

3. The secondment allocation strategy based on the semi-matrix model of the high-power platform according to claim 1, wherein The arbitration rules involved in the third step include: First, judge the priority. The one with the higher gun priority wins, and borrowing the power module of the opposite group is allowed. If the gun priorities are the same, the one with the higher under-power wins, and borrowing the power module of the opposite group is allowed. If the priorities of both sides are the same and the under-power is the same, no borrowing signal is generated.

4. The secondment allocation strategy based on the semi-matrix model of the high-power platform according to claim 1, wherein The full matrix strategy calculation in the first step includes the following contents: (a) Allocate at least one power module to each vehicle. (b) Give priority to meeting the power requirements of high-priority vehicles. (c) For vehicles with the same priority, allocate the remaining modules according to the under-power magnitude.

5. The secondment allocation strategy based on the semi-matrix model of the high-power platform according to claim 4, wherein The number of modules required for the power requirement of a high-priority vehicle is m, and m = Pn / Pmdl, where Pn is the required power of the nth charging vehicle, and Pmdl is the power value that each power module can provide.

6. The secondment allocation strategy based on the semi-matrix model of a high-power platform according to claim 1, wherein Several modules are all connected to the terminal charging gun through the PDU, and the PDU is one-in and four-out.