Flexible dynamic power distribution method and system for charging pile

Abstract

The invention relates to the technical field of charging, in particular to a flexible dynamic power distribution method and system for a charging pile, and the method comprises the following steps: S1, distributing the power of each charging module to a charging gun, and forming a plurality of small power distribution units; s2, according to the current demand power condition of the charging port, transverse grouping is dynamically carried out, and a primary power combination is formed; s3, performing longitudinal depth calculation on the basis of the primary combination, and dynamically combining the power of different segments; and S4, repeating the step S2 and the step S3, performing recursive hierarchical processing, and outputting the combination after the optimal power distribution is achieved. By adopting the design method, a charging pile control system of a charging pile manufacturer can dynamically adjust and optimize the power output of the power supply module by 100%, and the power supply is greatly utilized to stabilize the power output.

Description

Technical Field

[0001] The present invention relates to the field of charging technology, and in particular to a charging pile flexible dynamic power distribution method and system. Background Art

[0002] So far, the charging pile control systems adopted by companies or platform companies operating in the market are diverse, and there are significant differences in their design methods, especially in the charging power distribution method. With the vigorous development of the new energy electric vehicle industry worldwide, the demand for the product functions of electric vehicle DC charging piles is growing. These demands not only include diversified charging modes, but also put forward higher requirements for charging power. In many occasions, multiple charging requirements such as slow charging, fast charging, and super charging need to be met at the same time. In order to meet these needs, a DC charging group charging system is usually used, and the core of the group charging system is the distribution of charging power.

[0003] The power distribution circuit solutions for DC charging systems currently on the market basically adopt a single distribution mode or matrix architecture. These solutions have certain defects: either the distribution scheme is too simple and cannot accurately distribute each charging module to each charging gun; or the electrical structure is complex, resulting in high production costs and increased failure rates. The system maintenance workload is huge, time-consuming and labor-intensive, and the process is cumbersome, which seriously affects maintenance efficiency and economic benefits. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention discloses a charging pile flexible dynamic power distribution method and system, which are used to solve the above problems.

[0005] The present invention is achieved through the following technical solutions:

[0006] In a first aspect, the present invention provides a charging pile flexible dynamic power allocation method, comprising the following steps:

[0007] S1. Distribute the power of each charging module to the charging gun to form multiple small power distribution units;

[0008] S2. Dynamically group the charging ports horizontally according to their current power requirements to form a primary power combination.

[0009] S3. Based on the primary combination, vertical depth calculation is performed to dynamically combine the power of different segments;

[0010] S4, repeating steps S2 and S3, performing recursive layering processing, and outputting a combination after achieving the best power allocation.

[0011] Furthermore, the recursive layering in the method includes recursive node layout, recursive sub-node layout and recursive leaf node and sub-node layout.

[0012] Furthermore, in the method, the recursive node layout is used for the charging control system to dynamically calculate the power combinations of different power levels at the leaf nodes in the depth longitudinal direction.

[0013] Furthermore, in the method, the recursive secondary node layout is used for the charging control system to dynamically calculate the power combinations of different power levels in the depth vertical direction.

[0014] Furthermore, in the method, the recursive leaf node and sub-node layout is used to dynamically group the charging control system according to the current required power status of the charging port.

[0015] Furthermore, in the method, the recursive leaf node and sub-node layout and the recursive sub-node layout are subjected to a breadth grouping in the depth longitudinal direction, and then a secondary depth longitudinal dynamic calculation is performed to determine the combined power of different power segments, thereby forming a recursive hierarchical structure.

[0016] Furthermore, in the method, the output ports are first allocated by breadth search, and then by depth recursion; or the power segments are first recursively searched vertically, and then the output ports are allocated by breadth.

[0017] Furthermore, in the method, abnormal conditions during the charging process are monitored in real time, and the following functions are achieved:

[0018] Real-time monitoring of battery temperature: Real-time monitoring of battery temperature through temperature sensors to prevent safety issues caused by overheating;

[0019] Battery status monitoring: detect the battery voltage, current, and remaining power parameters to ensure that the battery operates within a safe range;

[0020] Charge current and voltage regulation: Automatically adjusts charge current and voltage based on battery status and charging stage to optimize charging efficiency and extend battery life;

[0021] Charging circuit protection: integrated over-current, over-voltage and short-circuit protection mechanisms to ensure circuit safety during charging;

[0022] Abnormal charging alarm: When an abnormal situation is detected, the system can issue a warning and take measures, and suspend charging or switch to safe mode;

[0023] Charging strategy optimization: Dynamically adjust the charging strategy based on battery type and charging history data to adapt to different usage scenarios and extend battery life;

[0024] Charging compatibility detection: ensure that the charger is compatible with different types of batteries and devices to avoid charging problems caused by mismatch;

[0025] Charging efficiency analysis: Real-time analysis of charging efficiency, optimization of power distribution through software algorithms, and reduction of energy loss;

[0026] Remote monitoring and control: Remotely monitor the charging status through a mobile phone application or web interface, and intervene and adjust when necessary;

[0027] Self-learning function: It can learn the user's charging habits and automatically adjust the charging parameters to provide a more personalized charging experience.

[0028] Furthermore, the method is applicable to the power distribution of slow charging modules, fast charging modules, super charging modules and liquid cooling modules; it is also applicable to the mixed distribution of different types of modules; it is also applicable to the mixed power output distribution of modules from different manufacturers.

[0029] In a second aspect, the present invention provides a flexible dynamic power distribution system for a charging pile, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the memory is coupled to the processor, and when the processor executes the computer program, the flexible dynamic power distribution method for the charging pile described in the first aspect is implemented.

[0030] The beneficial effects of the present invention are:

[0031] The present invention proposes a universal design method specifically for optimizing the output performance of charging piles. By adopting this innovative design method, charging pile manufacturers can achieve 100% dynamic adjustment capability of their charging pile control system, thereby optimizing the power output of the power module. This method ensures that the power module can operate in the best state under various working conditions, greatly improving the stability of the power supply and the power output efficiency. Through this design, the charging pile can not only adapt to different power grid conditions, but also maintain high efficiency and stable performance in various complex usage environments, thereby providing users with a more reliable and efficient charging experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 This is a power layout diagram of electrical components according to an embodiment of the present invention;

[0034] Figure 2 is a recursive node layout diagram of an embodiment of the present invention;

[0035] Figure 3 is a recursive secondary node layout diagram of an embodiment of the present invention;

[0036] Figure 4 This is a recursive leaf node and sub-node layout diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] In one embodiment, the present invention provides a charging pile flexible dynamic power allocation method, comprising the following steps:

[0039] S1. Distribute the power of each charging module to the charging gun to form multiple small power distribution units;

[0040] S2. Dynamically group the charging ports horizontally according to their current power requirements to form a primary power combination.

[0041] S3. Based on the primary combination, vertical depth calculation is performed to dynamically combine the power of different segments;

[0042] S4, repeating steps S2 and S3, performing recursive layering processing, and outputting a combination after achieving the best power allocation.

[0043] The recursive layering in this embodiment includes recursive node layout, recursive secondary node layout, and recursive leaf node and secondary node layout.

[0044] like Figure 1 The electrical component power layout shown mainly describes the topological wiring definition model of the electrical components and the power module.

[0045] like Figure 2 The recursive node layout shown is mainly obtained through deep recursive calculation and is used to define the allocation model of the charging output port under the current situation.

[0046] like Figure 3 The recursive secondary node layout shown is mainly a distribution definition model for the charging output port under the current situation obtained through deep recursive calculation.

[0047] like Figure 4 The recursive leaf node and sub-node layout shown is mainly calculated through breadth-level classification to obtain a distribution definition model for charging output ports in the current situation.

[0048] In one embodiment, in the power layout design of electrical components, we adopted an innovative approach to integrate multiple smaller power distribution units into independent "small units". The core of this layout strategy lies in the recursive node layout method. First, we will dynamically perform breadth-first grouping based on the actual power demand of the charging gun and preliminarily combine the power units according to demand.

[0049] Next, the recursive secondary node layout will be further expanded in the depth vertical direction to dynamically calculate the combination of different power segments to achieve more refined power allocation. This depth vertical calculation process can be optimized again by breadth grouping, that is, based on the recursive leaf node and secondary node layout, a second-level depth vertical calculation is performed to dynamically calculate the combination of different power segments.

[0050] This recursive secondary node layout process is actually a continuous iteration of the primary, secondary and tertiary processing processes. In this way, we can continuously perform limited recursive hierarchical processing to achieve the best power distribution output combination. This method not only improves the efficiency of power distribution, but also ensures the flexibility and scalability of the system, providing a solid foundation for future technology upgrades and optimizations.

[0051] This embodiment relates to a flexible dynamic power distribution method for a charging pile, which includes the following steps: First, according to the current actual power demand status of the charging gun, dynamically perform breadth-first grouping, and preliminarily combine each power unit according to demand. Then, the recursive secondary node layout will be further expanded in the depth vertical direction, and the combination of different power segments will be dynamically calculated to achieve more refined power distribution. This depth vertical calculation process can be optimized again by means of breadth grouping, that is, on the basis of the recursive leaf node and secondary node layout, a secondary depth vertical calculation is performed to dynamically calculate the combination of different power segments. This recursive secondary node layout process is actually a continuous iteration of a primary, secondary and tertiary processing process. In this way, limited recursive hierarchical processing can be continuously performed to achieve the best power distribution output combination. This method not only improves the efficiency of power distribution, but also ensures the flexibility and scalability of the system, providing a solid foundation for future technology upgrades and optimizations.

[0052] In one embodiment, abnormal conditions during charging are detected in real time, and the following functions are implemented:

[0053] Real-time monitoring of battery temperature: Real-time monitoring of battery temperature through temperature sensors to prevent safety issues caused by overheating;

[0054] Battery status monitoring: detect the battery voltage, current, and remaining power parameters to ensure that the battery operates within a safe range;

[0055] Charge current and voltage regulation: Automatically adjusts charge current and voltage based on battery status and charging stage to optimize charging efficiency and extend battery life;

[0056] Charging circuit protection: integrated over-current, over-voltage and short-circuit protection mechanisms to ensure circuit safety during charging;

[0057] Abnormal charging alarm: When an abnormal situation is detected, the system can issue a warning and take measures, and suspend charging or switch to safe mode;

[0058] Charging strategy optimization: Dynamically adjust the charging strategy based on battery type and charging history data to adapt to different usage scenarios and extend battery life;

[0059] Charging compatibility detection: ensure that the charger is compatible with different types of batteries and devices to avoid charging problems caused by mismatch;

[0060] Charging efficiency analysis: Real-time analysis of charging efficiency, optimization of power distribution through software algorithms, and reduction of energy loss;

[0061] Remote monitoring and control: Remotely monitor the charging status through a mobile phone application or web interface, and intervene and adjust when necessary;

[0062] Self-learning function: It can learn the user's charging habits and automatically adjust the charging parameters to provide a more personalized charging experience.

[0063] In this embodiment, the proposed design method has wide applicability and can be flexibly applied to a variety of different types of charging modules, including but not limited to slow charging modules, fast charging modules, super charging modules, and liquid cooling modules. These modules can be effectively applied in power distribution. In addition, the design method can also handle the mixed distribution problem of different types of modules, so that different types of modules can work together to complete the task of power output. Not only that, the design method of this embodiment is also compatible with modules produced by different manufacturers, and realizes mixed power output distribution between modules of different brands, thereby providing greater flexibility and compatibility.

[0064] In the specific operation process, the design method of this embodiment is not limited to the traditional strategy of first performing a breadth search to determine the distribution output port, and then performing a depth recursion. On the contrary, it can also adopt a method of first recursively finding each power segment vertically, and then performing a strategy of breadth distribution output ports. This flexible processing method enables the design method to select the most appropriate distribution strategy according to the actual hardware topology wiring diagram and system requirements to achieve the optimal power distribution effect.

[0065] Furthermore, the design method of this embodiment has no strict restrictions on the recursive level. It can implement multiple recursive levels such as two-level recursion, three-level recursion, and four-level recursion to adapt to power allocation requirements of different complexities. In practical applications, the charging control system will hierarchically control the switching action of the contactor based on the hardware topology wiring diagram, thereby listing the corresponding power output identification position action diagram. Such a hierarchical control mechanism not only ensures the efficient operation of the system, but also ensures that the power output can be accurately controlled in various complex situations, thereby improving the stability and reliability of the system.

[0066] In one embodiment, a flexible dynamic power distribution system for a charging pile includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the memory is coupled to the processor, and when the processor executes the computer program, a flexible dynamic power distribution method for the charging pile is implemented.

[0067] In summary, the present invention proposes a universal design method specifically for optimizing the output performance of charging piles. By adopting this innovative design method, charging pile manufacturers can achieve 100% dynamic adjustment capability of their charging pile control systems, thereby optimizing the power output of the power module. This method ensures that the power module can operate in an optimal state under various working conditions, greatly improving the stability of the power supply and the power output efficiency. Through this design, the charging pile can not only adapt to different power grid conditions, but also maintain high efficiency and stable performance in various complex usage environments, thereby providing users with a more reliable and efficient charging experience.

[0068] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A charging pile flexible dynamic power allocation method, characterized in that: The following steps are involved: S1. Distribute the power of each charging module to the charging gun to form multiple small power distribution units; S2. Dynamically group the charging ports horizontally according to their current power requirements to form a primary power combination. S3. Based on the primary combination, vertical depth calculation is performed to dynamically combine the power of different segments; S4, repeating steps S2 and S3, performing recursive layering processing, and outputting a combination after achieving the best power allocation.

2. The charging pile flexible dynamic power allocation method according to claim 1, characterized in that: The recursive hierarchical structure in the method includes recursive node layout, recursive secondary node layout and recursive leaf node and secondary node layout.

3. The charging pile flexible dynamic power allocation method according to claim 2 is characterized in that: In the method, the recursive node layout is used for the charging control system to dynamically calculate the power combinations of different power levels at the leaf nodes in the depth longitudinal direction.

4. The charging pile flexible dynamic power allocation method according to claim 2, characterized in that: In the method, the recursive secondary node layout is used for the charging control system to dynamically calculate the power combination of different power levels in the depth vertical direction.

5. The charging pile flexible dynamic power allocation method according to claim 2, characterized in that: In the method, the recursive leaf node and sub-node layout is used for the charging control system to dynamically group the breadth according to the current required power status of the charging port.

6. The charging pile flexible dynamic power allocation method according to claim 2, characterized in that: In the method, the recursive leaf node and sub-node layout and the recursive sub-node layout are grouped in breadth in the depth longitudinal direction, and then a secondary depth longitudinal dynamic calculation is performed to determine the combined power of different power segments, thereby forming a recursive hierarchical structure.

7. The charging pile flexible dynamic power allocation method according to claim 1, characterized in that: In the method, the output ports are allocated by searching breadth first, and then by recursion in depth; or the power segments are recursively searched vertically first, and then the output ports are allocated by breadth.

8. The charging pile flexible dynamic power allocation method according to claim 1, characterized in that: In the method, abnormal conditions during charging are detected in real time, and the following functions are achieved: Real-time monitoring of battery temperature: Real-time monitoring of battery temperature through temperature sensors to prevent safety issues caused by overheating; Battery status monitoring: detect the battery voltage, current, and remaining power parameters to ensure that the battery operates within a safe range; Charge current and voltage regulation: Automatically adjusts charge current and voltage based on battery status and charging stage to optimize charging efficiency and extend battery life; Charging circuit protection: integrated over-current, over-voltage and short-circuit protection mechanisms to ensure circuit safety during charging; Abnormal charging alarm: When an abnormal situation is detected, the system can issue a warning and take measures, and suspend charging or switch to safe mode; Charging strategy optimization: Dynamically adjust the charging strategy based on battery type and charging history data to adapt to different usage scenarios and extend battery life; Charging compatibility detection: ensure that the charger is compatible with different types of batteries and devices to avoid charging problems caused by mismatch; Charging efficiency analysis: Real-time analysis of charging efficiency, optimization of power distribution through software algorithms, and reduction of energy loss; Remote monitoring and control: Remotely monitor the charging status through a mobile phone application or web interface, and intervene and adjust when necessary; Self-learning function: It can learn the user's charging habits and automatically adjust the charging parameters to provide a more personalized charging experience.

9. The charging pile flexible dynamic power allocation method according to claim 1, characterized in that: The method is applicable to the power distribution of slow-charging modules, fast-charging modules, super-charging modules and liquid-cooling modules; it is also applicable to the mixed distribution of different types of modules; it is also applicable to the mixed power output distribution of modules from different manufacturers.

10. A charging pile flexible dynamic power distribution system, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the memory is coupled to the processor, and when the processor executes the computer program, the flexible dynamic power allocation method for a charging pile as described in any one of claims 1 to 9 is implemented.

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