CN113459864A - Charging optimization method and device for charging pile - Google Patents
Charging optimization method and device for charging pile Download PDFInfo
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- CN113459864A CN113459864A CN202110824818.5A CN202110824818A CN113459864A CN 113459864 A CN113459864 A CN 113459864A CN 202110824818 A CN202110824818 A CN 202110824818A CN 113459864 A CN113459864 A CN 113459864A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/64—Optimising energy costs, e.g. responding to electricity rates
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
Abstract
The invention provides a charging optimization method and a charging optimization device of a charging pile, wherein the method comprises the following steps: s1, controlling the charging pile to charge for a first preset time at the maximum value Pmax of the charging request power; s2, obtaining the charging loss Ploss of the charging pile in the first preset time, and calculating the current predicted total consumed electric energy Pb according to the Ploss; s3, acquiring the total power consumption Pa of the previous prediction, wherein the initial value of Pa is a maximum value; s4, adjusting the current output power P of the charging pile by a preset step length according to Pb and Pa; in step S5, the current predicted total power consumption Pb is set as the previous predicted total power consumption Pa, and the process returns to step S1. According to the invention, a global optimal solution is not considered, a local optimization is sought, the output power of the charging pile is taken as a controllable variable, the minimum electric energy loss in one-time charging is sought by controlling the variable, the charging cost is reduced, the charging benefit is optimized, and the method is simple and has strong applicability.
Description
Technical Field
The invention relates to the technical field of charging piles, in particular to a charging optimization method and a charging optimization device of a charging pile.
Background
In the charging process of the charging pile, besides the electric energy transmitted to the electric automobile, a part of electric energy can be lost. How to minimize the loss of power in a single charge is a breakthrough for operators to increase profits and reduce costs.
The loss of electric energy is very complex, firstly, the power module has loss, the electric energy conversion rate of the power module is different at different temperatures, and different loss rates can be generated at different powers; the air temperature can affect the operation of the power supply module, and the difference of electric energy loss can also be caused; piles of different products, their own design, problems with the circuitry, cable heating, etc., can result in different power losses.
In the related art, the whole charging station is generally considered for optimizing the electric energy loss of the charging pile, however, in the charging process, the loss is difficult to be controlled globally, for example, after the charging power is reduced, a certain cooling fan may be just stopped, and then the overall loss may be reduced. Of course, after the charging power is reduced, a certain fan cannot be stopped, and the reduction of the charging power leads to the side length of the whole charging time, and the whole charging loss is increased. Moreover, the algorithm for predicting the charging loss of the whole charging station is complex, and the requirement on the data processor is high.
Disclosure of Invention
The present invention is directed to solve the above technical problems, and a first object of the present invention is to provide a charging optimization method for a charging pile, which does not consider a global optimal solution, finds a local optimization, uses output power of the charging pile as a controllable variable, and finds a minimum electric energy loss in one-time charging by controlling the variable, thereby reducing charging cost and optimizing charging efficiency, and the method is simple and has strong applicability.
The second purpose of the invention is to provide a charging optimization device of a charging pile.
The technical scheme adopted by the invention is as follows:
the embodiment of the first aspect of the invention provides a charging optimization method for a charging pile, which comprises the following steps: step S1, controlling the charging pile to charge for a first preset time at the maximum value Pmax of the charging request power; step S2, acquiring the charging loss Ploss of the charging pile within the first preset time, and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile within the first preset time; step S3, acquiring the total power Pa predicted for the previous time, wherein the initial value of the total power Pa predicted for the previous time is a maximum value; step S4, adjusting the current output power P of the charging pile by a preset step according to the current predicted total consumption power Pb and the previous predicted total consumption power Pa; in step S5, the current predicted total power consumption Pb is used as the previous predicted total power consumption Pa, and the process returns to step S1.
The charging optimization method of the charging pile provided by the invention also has the following additional technical characteristics:
according to an embodiment of the present invention, adjusting the current output power P of the charging pile by a preset step according to the current predicted total power consumption Pb and the previous predicted total power consumption Pa includes: if the current predicted total consumed electric energy Pb is less than Pa, controlling the current output power P of the charging pile to reduce the preset step length, and if the current predicted total consumed electric energy Pb is more than or equal to Pa, controlling the current output power P of the charging pile to increase the preset step length; judging whether the current output power P of the charging pile is greater than or equal to the maximum value Pmax of the charging request power; if the current output power P of the charging pile is larger than or equal to the maximum value Pmax of the charging request power, controlling the current output power P of the charging pile to reduce the preset step length, and executing the step S5; if the current output power P of the charging pile is smaller than the maximum value Pmax of the charging request power, further judging whether the current output power P of the charging pile is smaller than the minimum value Pmin of the charging request power; if the current output power P of the charging pile is smaller than the minimum value Pmin of the charging request power, controlling the current output power P of the charging pile to increase the preset step length, and then executing the step S5; and if the current output power P of the charging pile is larger than or equal to the minimum charging request power Pmin, executing the step S5.
According to an embodiment of the invention, the preset step size is between 0 and 7 kW.
According to one embodiment of the invention, the initial value of said previous predicted total power consumption Pa is greater than or equal to 100 kw.h.
According to an embodiment of the present invention, acquiring the charging loss Ploss of the charging pile within the first preset time, and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile within the first preset time includes: acquiring the input electric energy of the charging pile and the output electric energy of the charging pile within the first preset time; acquiring the charging loss Ploss of the charging pile within the first preset time according to the difference value of the input electric energy of the charging pile and the output electric energy of the charging pile; acquiring the charging remaining time of the charging equipment; and calculating the current predicted total consumed electric energy Pb according to the charging residual time of the charging equipment with the charging loss Ploss of the charging pile within the first preset time.
An embodiment of a second aspect of the present invention provides a charging optimization apparatus for a charging pile, including: the first control module is used for controlling the charging pile to charge for a first preset time at the maximum value Pmax of the charging request power; the calculation module is used for acquiring the charging loss Ploss of the charging pile within the first preset time, and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile within the first preset time; the device comprises an acquisition module, a power supply module and a control module, wherein the acquisition module is used for acquiring the previous predicted total consumed power Pa, and the initial value of the previous predicted total consumed power Pa is a maximum value; and the second control module is used for adjusting the current output power P of the charging pile by a preset step length according to the current predicted total consumption electric energy Pb and the previous predicted total consumption electric energy Pa, and taking the current predicted total consumption electric energy Pb as the previous predicted total consumption electric energy Pa.
The charging optimization device for the charging pile provided by the invention also has the following additional technical characteristics:
according to an embodiment of the present invention, the second control module is specifically configured to: if the current predicted total consumed electric energy Pb is less than Pa, controlling the current output power P of the charging pile to reduce the preset step length, and if the current predicted total consumed electric energy Pb is more than or equal to Pa, controlling the current output power P of the charging pile to increase the preset step length; judging whether the current output power P of the charging pile is greater than or equal to the maximum value Pmax of the charging request power; if the current output power P of the charging pile is larger than or equal to the maximum value Pmax of the charging request power, controlling the current output power P of the charging pile to reduce the preset step length; if the current output power P of the charging pile is smaller than the maximum value Pmax of the charging request power, further judging whether the current output power P of the charging pile is smaller than the minimum value Pmin of the charging request power; if the current output power P of the charging pile is smaller than the minimum value Pmin of the charging request power, controlling the current output power P of the charging pile to increase the preset step length; and if the current output power P of the charging pile is larger than or equal to the minimum value Pmin of the charging request power, not adjusting the current output power P of the charging pile.
According to an embodiment of the invention, the preset step size is between 0 and 7 kW.
According to one embodiment of the invention, the initial value of said previous predicted total power consumption Pa is greater than or equal to 100 kw.h.
According to an embodiment of the present invention, the calculation module is specifically configured to: acquiring the input electric energy of the charging pile and the output electric energy of the charging pile within the first preset time; acquiring the charging loss Ploss of the charging pile within the first preset time according to the difference value of the input electric energy of the charging pile and the output electric energy of the charging pile; acquiring the charging remaining time of the charging equipment; and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile and the charging remaining time of the charging equipment within the first preset time.
The invention has the beneficial effects that:
according to the invention, a global optimal solution is not considered, a local optimization is sought, the output power of the charging pile is taken as a controllable variable, the minimum electric energy loss in one-time charging is sought by controlling the variable, the charging cost is reduced, the charging benefit is optimized, and the method is simple and has strong applicability.
Drawings
Fig. 1 is a flowchart of a charging optimization method of a charging pile according to an embodiment of the present invention;
fig. 2 is a flowchart of a charging optimization method of a charging pile according to another embodiment of the present invention;
fig. 3 is a block diagram of a charging optimization apparatus for a charging pile according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart of a charging optimization method of a charging pile according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
and step S1, controlling the charging pile to charge for a first preset time T at the maximum value Pmax of the charging request power.
Specifically, the first predetermined time T should not be too short, so as to allow the charging pile to enter a more stable charging state, for example, the first predetermined time T may be 20 min. The charging request power is the charging power of the charging equipment, and the range is Pmin-Pmax. Typically Pmin is 70% Pmax.
Step S2, obtaining the charging loss Ploss of the charging pile in the first preset time T, and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile in the first preset time T.
Further, according to an embodiment of the present invention, acquiring the charging loss Ploss of the charging pile within the first preset time T, and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile within the first preset time T, includes: acquiring input electric energy of a charging pile and output electric energy of the charging pile within a first preset time T; acquiring the charging loss Ploss of the charging pile within a first preset time T according to the difference value of the input electric energy of the charging pile and the output electric energy of the charging pile; acquiring the charging remaining time t of the charging equipment; and calculating the current predicted total consumed electric energy Pb according to the charging remaining time t of the charging equipment with the charging loss Ploss of the charging pile in the first preset time.
The current predicted total consumed power Pb may be calculated according to the following formula:
step S3, obtaining the previous predicted total power consumption Pa, where the initial value of the previous predicted total power consumption Pa is a maximum value.
Specifically, the initial value of the previously predicted total power consumption Pa needs to ensure a maximum value of power receivable within a first preset time T of a charging device (e.g., an electric vehicle), for example, the initial value of the previously predicted total power consumption Pa is greater than or equal to 100 kw.h.
And step S4, adjusting the current output power P of the charging pile by a preset step according to the current predicted total consumption power Pb and the previous predicted total consumption power Pa. The preset step length can be preset according to actual conditions, can be a fixed value or a variable value, and is between 0 and 7kW, for example, the preset step length can be 5 kW.
Further, as shown in fig. 2, adjusting the current output power P of the charging pile by a preset step according to the current predicted total power consumption Pb and the previous predicted total power consumption Pa may include:
in step S40, it is judged whether Pb < Pa is present.
And step S41, if the current predicted total power consumption Pb is less than Pa, controlling the current output power P of the charging pile to be reduced by a preset step (P-5 kW). Take the preset step length as 5kW as an example.
And S42, if the current predicted total power Pb is larger than or equal to Pa, controlling the current output power P of the charging pile to increase by a preset step length (P +5 kW).
It can be understood that the purpose of setting the initial value of Pa to the maximum value is to perform power reduction adjustment when the current output power P is adjusted for the first time, so as to avoid that the output power of the charging pile is out of bounds, that is, the output power exceeds the maximum charging request power Pmax when the power of the charging pile is adjusted for the first time.
Step S43, it is determined whether the current output power P of the charging pile is greater than or equal to the maximum charging request power Pmax.
And step S44, if the current output power P of the charging pile is larger than or equal to the maximum value Pmax of the charging request power, controlling the current output power P of the charging pile to reduce a preset step length (P is P-5kW), and executing step S5.
Step S45, if the current output power P of the charging pile is less than the maximum value Pmax of the charging request power, further judging whether the current output power P of the charging pile is less than the minimum value Pmin of the charging request power; and if the current output power P of the charging pile is larger than or equal to the minimum value Pmin of the charging request power, directly executing the step S5.
In step S46, if the current output power P of the charging pile is less than the minimum charging request power Pmin, the current output power P of the charging pile is controlled to increase by a preset step length (P +5kW), and then step S5 is executed.
In particular, if Pa > Pb, indicating that lowering the current output power P of the charging post does indeed make it possible to lower the total losses, then let the charging post continue to lower the output power, again with a power of 5kW, i.e. again with P-5 kW. If the current output power P of the charging pile is smaller than Pmin, 5kW is added to the current power, namely P +5kW, so that the current output power P of the charging pile is prevented from being out of range. If Pa < Pb, the power is reduced, and the total loss is increased, the current output power P of the charging pile is increased by 5kW, and if the current power is greater than Pmax, the current power is reduced by 5kW, so that the current output power P of the charging pile is prevented from crossing the boundary. The whole idea is based on the actual operation effect, and if the overall loss can be reduced by reducing the power, the overall loss is reduced; otherwise, the power is increased until the end of charging.
In step S5, the current predicted total power consumption Pb is set as the previous predicted total power consumption Pa, and the process returns to step S1.
Specifically, the current output power P of the charging pile is used as a controllable variable, and the minimum electric energy loss in one-time charging is sought by controlling the variable. The control idea is as follows: first, in charging, charging is performed according to the required power of a charging device (electric vehicle) for a unit time, the electric energy loss in the unit time is recorded and multiplied by the charging remaining time, and a predicted total electric energy loss is calculated. Then, reducing a certain amount of charging power, continuously charging for a unit time, recording the electric energy loss in the time, multiplying the electric energy loss by the residual charging time, and calculating a predicted total electric energy loss; the total energy loss is compared twice to determine whether a reduced or increased power charge is required. The energy loss in one-time charging is reduced to the greatest extent, the charging cost is reduced, the charging benefit is optimized, the method is simple, and the applicability is strong.
In summary, according to the charging optimization method for the charging pile of the embodiment of the present invention, the charging pile is first controlled to charge for a first preset time according to the maximum value Pmax of the charging request power, then, the charging loss Ploss of the charging pile in the first preset time is obtained, the current predicted total consumed electric energy Pb is calculated according to the charging loss Ploss of the charging pile in the first preset time, the previous predicted total consumed electric energy Pa is obtained, wherein the initial value of the previous predicted total consumed electric energy Pa is a maximum value, and the current output power P of the charging pile is adjusted by a preset step length according to the current predicted total consumed electric energy Pb and the previous predicted total consumed electric energy Pa; and taking the current predicted total consumption electric energy Pb as the previous predicted total consumption electric energy Pa. According to the invention, a global optimal solution is not considered, a local optimization is sought, the output power of the charging pile is taken as a controllable variable, the minimum electric energy loss in one-time charging is sought by controlling the variable, the charging cost is reduced, the charging benefit is optimized, and the method is simple and has strong applicability.
Corresponding to the charging optimization method for the charging pile, the invention further provides a charging optimization device for the charging pile.
Fig. 3 is a block diagram of a charging optimization apparatus for a charging pile according to an embodiment of the present invention. As shown in fig. 3, the apparatus includes: a first control module 1, a calculation module 2, an acquisition module 3 and a second control module 4, wherein,
the first control module 1 is used for controlling the charging pile to charge for a first preset time at the maximum value Pmax of the charging request power; the calculation module 2 is used for acquiring the charging loss Ploss of the charging pile in the first preset time, and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile in the first preset time; the acquisition module 3 is used for acquiring the previous predicted total consumed electric energy Pa, wherein the initial value of the previous predicted total consumed electric energy Pa is a maximum value; the second control module 4 is configured to adjust the current output power P of the charging pile by a preset step length according to the current predicted total power consumption Pb and the previous predicted total power consumption Pa, and use the current predicted total power consumption Pb as the previous predicted total power consumption Pa.
According to an embodiment of the present invention, the second control module 4 is specifically configured to: if the current predicted total consumed electric energy Pb is less than Pa, controlling the current output power P of the charging pile to reduce by a preset step length, and if the current predicted total consumed electric energy Pb is more than or equal to Pa, controlling the current output power P of the charging pile to increase by the preset step length; judging whether the current output power P of the charging pile is greater than or equal to the maximum value Pmax of the charging request power; if the current output power P of the charging pile is larger than or equal to the maximum value Pmax of the charging request power, controlling the current output power P of the charging pile to reduce a preset step length; if the current output power P of the charging pile is smaller than the maximum value Pmax of the charging request power, further judging whether the current output power P of the charging pile is smaller than the minimum value Pmin of the charging request power; if the current output power P of the charging pile is smaller than the minimum value Pmin of the charging request power, controlling the current output power P of the charging pile to increase a preset step length; and if the current output power P of the charging pile is larger than or equal to the minimum value Pmin of the charging request power, not adjusting the current output power P of the charging pile.
According to an embodiment of the invention, the preset step size is between 0 and 7kW, for example, 5 kW.
According to one embodiment of the invention, the initial value of the previously predicted total consumption power Pa is greater than or equal to 100 kw.h.
According to an embodiment of the present invention, the calculation module 2 is specifically configured to: acquiring input electric energy of a charging pile and output electric energy of the charging pile within a first preset time; acquiring charging loss Ploss of the charging pile within a first preset time according to the difference value of the input electric energy of the charging pile and the output electric energy of the charging pile; acquiring the charging remaining time of the charging equipment; and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile and the charging remaining time of the charging equipment in the first preset time.
According to the charging optimization device of the charging pile, the charging pile is controlled by the first control module to be charged for the first preset time according to the maximum value Pmax of the charging request power, the calculation module obtains the charging loss Ploss of the charging pile in the first preset time, the current predicted total consumption electric energy Pb is calculated according to the charging loss Ploss of the charging pile in the first preset time, the obtaining module obtains the previous predicted total consumption electric energy Pa, the initial value of the previous predicted total consumption electric energy Pa is the maximum value, the second control module adjusts the current output power P of the charging pile according to the current predicted total consumption electric energy Pb and the previous predicted total consumption electric energy Pa by the preset step length, and the current predicted total consumption electric energy Pb is used as the previous predicted total consumption electric energy Pa. Therefore, the device does not consider a global optimal solution, seeks a local optimization to the output power of the charging pile is used as a controllable variable, and seeks the minimum electric energy loss in one-time charging by controlling the variable, so that the charging cost is reduced, the charging benefit is optimized, and the method is simple and has strong applicability.
In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. The meaning of "plurality" is two or more unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A charging optimization method of a charging pile is characterized by comprising the following steps:
step S1, controlling the charging pile to charge for a first preset time at the maximum value Pmax of the charging request power;
step S2, acquiring the charging loss Ploss of the charging pile within the first preset time, and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile within the first preset time;
step S3, acquiring the total power Pa predicted for the previous time, wherein the initial value of the total power Pa predicted for the previous time is a maximum value;
step S4, adjusting the current output power P of the charging pile by a preset step according to the current predicted total consumption power Pb and the previous predicted total consumption power Pa;
in step S5, the current predicted total power consumption Pb is used as the previous predicted total power consumption Pa, and the process returns to step S1.
2. The charging optimization method for the charging pile according to claim 1, wherein the step of adjusting the current output power P of the charging pile by a preset step size according to the current predicted total power consumption Pb and the previous predicted total power consumption Pa comprises:
if the current predicted total consumed electric energy Pb is less than Pa, controlling the current output power P of the charging pile to reduce the preset step length, and if the current predicted total consumed electric energy Pb is more than or equal to Pa, controlling the current output power P of the charging pile to increase the preset step length;
judging whether the current output power P of the charging pile is greater than or equal to the maximum value Pmax of the charging request power;
if the current output power P of the charging pile is larger than or equal to the maximum value Pmax of the charging request power, controlling the current output power P of the charging pile to reduce the preset step length, and executing the step S5;
if the current output power P of the charging pile is smaller than the maximum value Pmax of the charging request power, further judging whether the current output power P of the charging pile is smaller than the minimum value Pmin of the charging request power;
if the current output power P of the charging pile is smaller than the minimum value Pmin of the charging request power, controlling the current output power P of the charging pile to increase the preset step length, and then executing the step S5;
and if the current output power P of the charging pile is larger than or equal to the minimum charging request power Pmin, executing the step S5.
3. The charging optimization method for the charging pile according to claim 2, wherein the preset step size is 0-7 kW.
4. The charge optimization method for a charging pile according to claim 1, wherein the initial value of the previously predicted total power consumption Pa is greater than or equal to 100 kw.h.
5. The charging optimization method for the charging pile according to claim 1, wherein the step of obtaining the charging loss Ploss of the charging pile within the first preset time, and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile within the first preset time comprises:
acquiring the input electric energy of the charging pile and the output electric energy of the charging pile within the first preset time;
acquiring the charging loss Ploss of the charging pile within the first preset time according to the difference value of the input electric energy of the charging pile and the output electric energy of the charging pile;
acquiring the charging remaining time of the charging equipment;
and calculating the current predicted total consumed electric energy Pb according to the charging residual time of the charging equipment with the charging loss Ploss of the charging pile within the first preset time.
6. The utility model provides a fill electric pile's optimization device that charges which characterized in that includes:
the first control module is used for controlling the charging pile to charge for a first preset time at the maximum value Pmax of the charging request power;
the calculation module is used for acquiring the charging loss Ploss of the charging pile within the first preset time, and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile within the first preset time;
the device comprises an acquisition module, a power supply module and a control module, wherein the acquisition module is used for acquiring the previous predicted total consumed power Pa, and the initial value of the previous predicted total consumed power Pa is a maximum value;
and the second control module is used for adjusting the current output power P of the charging pile by a preset step length according to the current predicted total consumption electric energy Pb and the previous predicted total consumption electric energy Pa, and taking the current predicted total consumption electric energy Pb as the previous predicted total consumption electric energy Pa.
7. The charging optimization device for the charging pile according to claim 6, wherein the second control module is specifically configured to:
if the current predicted total consumed electric energy Pb is less than Pa, controlling the current output power P of the charging pile to reduce the preset step length, and if the current predicted total consumed electric energy Pb is more than or equal to Pa, controlling the current output power P of the charging pile to increase the preset step length;
judging whether the current output power P of the charging pile is greater than or equal to the maximum value Pmax of the charging request power;
if the current output power P of the charging pile is larger than or equal to the maximum value Pmax of the charging request power, controlling the current output power P of the charging pile to reduce the preset step length;
if the current output power P of the charging pile is smaller than the maximum value Pmax of the charging request power, further judging whether the current output power P of the charging pile is smaller than the minimum value Pmin of the charging request power;
if the current output power P of the charging pile is smaller than the minimum value Pmin of the charging request power, controlling the current output power P of the charging pile to increase the preset step length;
and if the current output power P of the charging pile is larger than or equal to the minimum value Pmin of the charging request power, not adjusting the current output power P of the charging pile.
8. The charging optimization device for the charging pile according to claim 7, wherein the preset step length is 0-7 kW.
9. The charging optimization device for the charging pile according to claim 6, wherein the initial value of the previously predicted total consumption electric energy Pa is greater than or equal to 100 kW.h.
10. The charging optimization device of the charging pile according to claim 6, wherein the calculation module is specifically configured to:
acquiring the input electric energy of the charging pile and the output electric energy of the charging pile within the first preset time;
acquiring the charging loss Ploss of the charging pile within the first preset time according to the difference value of the input electric energy of the charging pile and the output electric energy of the charging pile;
acquiring the charging remaining time of the charging equipment;
and calculating the current predicted total consumed electric energy Pb according to the charging loss Ploss of the charging pile and the charging remaining time of the charging equipment within the first preset time.
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| CN202110824818.5A CN113459864A (en) | 2021-07-21 | 2021-07-21 | Charging optimization method and device for charging pile |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114666351A (en) * | 2022-02-28 | 2022-06-24 | 国创移动能源创新中心(江苏)有限公司 | Data transmission method for energy management system of charging pile |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114666351A (en) * | 2022-02-28 | 2022-06-24 | 国创移动能源创新中心(江苏)有限公司 | Data transmission method for energy management system of charging pile |
| CN114666351B (en) * | 2022-02-28 | 2023-08-15 | 国创移动能源创新中心(江苏)有限公司 | Data transmission method of energy management system for charging pile |
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