Charging pile charging method and device combined with photovoltaic
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU SANJING ELETRIC
- Filing Date
- 2023-11-07
- Publication Date
- 2026-06-30
AI Technical Summary
Traditional charging piles fail to effectively utilize the instability of photovoltaic power generation, causing charging efficiency to be affected by changes in grid electricity prices, thus impacting the efficiency of combining photovoltaic power generation with charging piles.
By acquiring basic and demand information about charging piles, the system generates charging instructions for rated power and remaining photovoltaic mode, divides working time periods according to electricity prices, and flexibly adjusts charging power within different time periods to optimize the charging method.
It enables flexible adjustment of charging power at different times, optimizes the charging efficiency of photovoltaic power generation, reduces the demand for electricity from the grid, and improves the utilization efficiency of charging piles.
Smart Images

Figure CN117301934B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of charging control technology, and in particular to a charging method and device for a charging pile that incorporates photovoltaics. Background Technology
[0002] With the rapid development of the photovoltaic and new energy electric vehicle industries, more and more households and businesses are installing both photovoltaic systems and charging stations. A photovoltaic charging station is a device that converts sunlight into electrical energy to charge electric vehicles. Its working principle involves using photovoltaic panels to directly convert sunlight into electrical energy, which is then sent to the energy storage battery and the electric vehicle. Unlike traditional photovoltaic power generation systems, photovoltaic charging stations are also equipped with electric vehicle charging interfaces, thus enabling the conversion of solar energy into electric vehicle energy. Excess electricity can also be fed back to the grid, and when photovoltaic power generation is unstable, electricity can be purchased from the grid to charge the electric vehicle.
[0003] Traditionally, charging stations use a fixed charging pattern. However, due to the instability of photovoltaic power generation, the charging process inevitably requires purchasing electricity from the grid, and the grid's electricity price fluctuates during the charging period. Therefore, traditional charging station methods affect the efficiency of charging stations integrated with photovoltaic power generation. Summary of the Invention
[0004] Therefore, it is necessary to provide a charging method and device that integrates photovoltaic power generation to address the impact of traditional charging methods on the efficiency of charging piles that combine photovoltaic power generation.
[0005] This disclosure provides a charging method for a charging pile that incorporates photovoltaic technology, including the following steps:
[0006] Obtain basic information about charging piles and charging demand information; among which, the basic information about charging piles includes the maximum charging power, minimum charging power, and remaining photovoltaic power; the charging demand information includes the start time of charging, vehicle usage time, amount of electricity to be charged, and electricity price;
[0007] A rated power charging command is generated based on the maximum charging power, and a remaining photovoltaic mode charging command is generated based on the minimum charging power and the remaining photovoltaic power.
[0008] Based on the start time of charging and the time of vehicle use, the working time of the charging pile is divided into multiple processing time periods according to the electricity price, and charging instructions are assigned to each processing time period as needed for the amount of electricity charged; among them, the charging instructions include rated power charging instructions and remaining photovoltaic mode charging instructions.
[0009] The aforementioned photovoltaic-integrated charging method, after obtaining basic charging pile information and charging demand information, generates a rated power charging command based on the maximum charging power and a remaining photovoltaic mode charging command based on the minimum charging power and remaining photovoltaic power. Finally, based on the start charging time and vehicle usage time, the charging pile's operating time is divided into multiple processing time periods according to electricity prices, and charging commands are allocated to each processing time period as needed. Based on this, by allocating different charging commands, the charging power of the charging pile can be flexibly adjusted within different processing time periods, achieving optimization of the photovoltaic-based charging method.
[0010] In one embodiment, the process of dividing the charging station's operating time into multiple processing time periods based on the start charging time and vehicle usage time, using electricity prices, includes the following steps:
[0011] Based on differences in electricity prices, working hours are divided into multiple price ranges;
[0012] The start time of charging and the time of vehicle use are used as the intermediate nodes of the electricity price range, and the start, end and intermediate nodes of the electricity price range are used to form the processing time period.
[0013] In one embodiment, the processing time periods include a low-price time period group A{A1, A2, ..., Aa} and a non-low-price time period group B{B1, B2, ..., Bb};
[0014] The process of allocating charging instructions to each processing time period based on the required charging capacity includes the following steps:
[0015] Calculate the charging amount during the low-price period when charging at the maximum charging power, denoted as E(A);
[0016] If the required charging capacity E(car) <= E(A), then the remaining photovoltaic mode charging command is allocated to the non-low-price time period group B; for the low-price time period group A{A1, A2, ..., Aa}, the remaining photovoltaic mode charging command is allocated to A{A1, A2, ..., Ax}; and for A{Ax, Ax+1, ..., An}, the rated power charging command is generated; where E(car) / T(A1) is rounded to the nearest integer x, and T(A1) represents the time range value of the low-price time period A1;
[0017] If E(car) > E(A), then in the non-low-price time period group B{B1, B2, ..., Bb}, the amount of electricity charged at maximum power in each time period is E(B1), E(B2), ..., E(Bb), and E(Bb) = T(Bb). W(max) is the record counter n=1; where T(Bb) represents the time range value of Bb in the non-low price period group; W(max) represents the maximum charging power;
[0018] If E(car) <= E(A) + E(Bb) + ... + E[B(b-n+1)], then for the low-price time period group A{A1, A2, ..., Aa}, a charging instruction at rated power is generated; for the non-low-price time period group B{B(b-n+1), ..., Bb}, a charging instruction at the remaining photovoltaic mode is generated; for the remaining non-low-price time periods, no charging instruction is generated.
[0019] If E(car) > E(A) + E(Bb) + ... + E[B(b-n+1)], and n <= b, then increment the counter by 1, i.e., n = n + 1;
[0020] If E(car) > E(A) + E(Bb) + ... + E[B(b-n+1)], and n > b, then for all time periods, a charging command at rated power is generated.
[0021] In one embodiment, the process of dividing the charging station's operating time into multiple processing time periods based on the start charging time and vehicle usage time, using electricity prices, includes the following steps:
[0022] The working time span is determined based on the start charging time and vehicle usage time;
[0023] The working time periods are divided according to the size of the electricity price, resulting in multiple processing time periods; the number of processing time periods is equal to the number of electricity price categories.
[0024] In one embodiment, the processing time period includes processing time periods TA1, TA2, ..., TAy; where y represents the number of categories;
[0025] The process of allocating charging instructions to each processing time period based on the required charging capacity includes the following steps:
[0026] Calculate the amount of charge generated during each processing time period at the maximum power supply W(max), denoted as E(A1), E(A2), ..., E(Ay); that is, E(Ay) = T(Ay). W(max) and T(Ay) are the cumulative time values of the processing time period TAy;
[0027] If the required charging capacity E(car) <= E(A1) + E(A2) + ... + E[A(a)], define counter a = 1, then allocate the remaining photovoltaic mode charging instructions for the processing time period that is not A{A1, A2, ..., Aa};
[0028] Assume the processing time period Aa is divided into Aa{Aa1, Aa2, ..., Aax} according to time, and x is the number of time periods; the amount of electricity charged at maximum charging power in each time period is E(Aa1), E(Aa2), ..., E(Aax), and E(Aax) = T(Aax). W(max) is the record counter n=1;
[0029] If E(car) - E(A1) - ... - E[A(a-1)] <= E[Aa(x)] + ... + E[Aa(x-n+1)], then for the last n groups, the rated power charging command is allocated; for the first xn groups, the remaining photovoltaic mode charging command is allocated.
[0030] If E(car) - E(A1) - ... - E[A(a-1)] > E[Aa(x)] + ... + E[Aa(x-n+1)], and n <= x, then increment the counter by 1, i.e., n = n + 1;
[0031] If E(car) - E(A1) - ... - E[A(a-1)] > E[Aa(x)] + ... + E[Aa(x-n+1)], and n > x, then the rated power charging command is assigned for all time periods.
[0032] If E(car) > E(A1) + E(A2) + ... + E[A(a)], and a <= y, then for the processing time period Aa, a rated power charging command is assigned; then the counter is incremented by 1, i.e., a = a + 1;
[0033] If E(car)>E(A1)+E(A2)+……+E[A(a)], and a>y, then assign a rated power charging command for all processing time periods.
[0034] In one embodiment, the rated power charging command is used to control the charging pile to charge at the maximum charging power;
[0035] The remaining photovoltaic mode charging command is used to control the charging pile to charge at the mode charging power; when the remaining photovoltaic power is greater than or equal to the minimum charging power, the mode charging power is the remaining photovoltaic power; when the remaining photovoltaic power is less than the minimum charging power, the mode charging power is 0.
[0036] In one embodiment, the step further includes:
[0037] The charging process requires additional charge.
[0038] A charging pile charging device incorporating photovoltaics, comprising:
[0039] The information acquisition module is used to acquire basic information about the charging pile and charging demand information. The basic information about the charging pile includes the maximum charging power, minimum charging power, and remaining photovoltaic power. The charging demand information includes the start time of charging, vehicle usage time, amount of electricity to be charged, and electricity price.
[0040] The instruction generation module is used to generate a rated power charging instruction based on the maximum charging power, and to generate a remaining photovoltaic mode charging instruction based on the minimum charging power and the remaining photovoltaic power.
[0041] The instruction issuing module is used to divide the working time of the charging pile into multiple processing time periods based on the start charging time and vehicle usage time, according to the electricity price, and to allocate charging instructions to each processing time period as needed for the amount of electricity to be charged; among them, the charging instructions include rated power charging instructions and remaining photovoltaic mode charging instructions.
[0042] The aforementioned photovoltaic-integrated charging pile device, after processing basic charging pile information and charging demand information, generates a rated power charging command based on the maximum charging power, and a remaining photovoltaic mode charging command based on the minimum charging power and remaining photovoltaic power. Finally, based on the start charging time and vehicle usage time, the charging pile's operating time is divided into multiple processing time periods according to electricity prices, and charging commands are allocated to each processing time period as needed. Based on this, by allocating different charging commands, the charging power of the charging pile can be flexibly adjusted within different processing time periods, achieving optimization of the photovoltaic-based charging method.
[0043] At least one embodiment of this disclosure also provides a data control device, including:
[0044] One or more memories that store computer-executable instructions non-transitory;
[0045] One or more processors are configured to run computer-executable instructions, wherein the computer-executable instructions are executed by the one or more processors to implement a photovoltaic-integrated charging pile method according to any embodiment of the present disclosure.
[0046] The aforementioned data control device, after processing the basic information of the charging pile and the charging demand information, generates a rated power charging command based on the maximum charging power, and a remaining photovoltaic mode charging command based on the minimum charging power and the remaining photovoltaic power. Finally, based on the start charging time and vehicle usage time, the charging pile's operating time is divided into multiple processing time periods according to the electricity price, and charging commands are allocated to each processing time period as needed. Based on this, by allocating different charging commands, the charging power of the charging pile can be flexibly adjusted within different processing time periods, achieving optimization of the photovoltaic-based charging method.
[0047] At least one embodiment of this disclosure also provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, implement a photovoltaic-integrated charging pile charging method according to any embodiment of this disclosure.
[0048] After storing the charging pile's basic information and charging demand information on the aforementioned non-transient computer-readable storage medium, a rated power charging command is generated based on the maximum charging power, and a remaining photovoltaic mode charging command is generated based on the minimum charging power and remaining photovoltaic power. Finally, based on the start charging time and vehicle usage time, the charging pile's operating time is divided into multiple processing time periods according to electricity prices, and charging commands are allocated to each processing time period as needed. Based on this, by allocating different charging commands, the charging power of the charging pile can be flexibly adjusted within different processing time periods, achieving optimization of the photovoltaic-based charging method. Attached Figure Description
[0049] Figure 1 A flowchart illustrating a photovoltaic-integrated charging pile charging method according to a disclosed embodiment;
[0050] Figure 2 A flowchart of a charging method for a photovoltaic-integrated charging pile according to another disclosed embodiment;
[0051] Figure 3 This is a schematic diagram of time period division in a disclosed embodiment;
[0052] Figure 4 This is a schematic diagram of time period division according to another disclosed embodiment;
[0053] Figure 5 A structural diagram of a photovoltaic-integrated charging pile charging device module according to one embodiment;
[0054] Figure 6 A schematic block diagram of a data control device provided for at least one embodiment of this disclosure;
[0055] Figure 7 A schematic diagram of a non-transitory computer-readable storage medium provided for at least one embodiment of the present disclosure. Detailed Implementation
[0056] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the described embodiments of this disclosure without creative effort are within the scope of protection of this disclosure.
[0057] Unless otherwise defined, the technical or scientific terms used in this disclosure shall have the ordinary meaning understood by one of ordinary skill in the art to which this disclosure pertains. The terms “first,” “second,” and similar terms used in this disclosure do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as “comprising” or “including” mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as “connected” or “linked” are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as “upper,” “lower,” “left,” and “right” are used only to indicate relative positional relationships, and these relative positional relationships may change accordingly when the absolute position of the described objects changes.
[0058] To keep the following description of the embodiments of this disclosure clear and concise, detailed descriptions of some known functions and components have been omitted.
[0059] This disclosure provides a charging method for a charging pile that incorporates photovoltaics.
[0060] Figure 1 Here is a flowchart of a photovoltaic-integrated charging pile charging method according to a disclosed embodiment, as follows: Figure 1 As shown, a photovoltaic-integrated charging pile charging method according to a disclosed embodiment includes steps S100 to S102:
[0061] S100 obtains basic information about the charging pile and charging demand information. The basic information about the charging pile includes the maximum charging power, minimum charging power, and remaining photovoltaic power. The charging demand information includes the start time of charging, vehicle usage time, amount of electricity to be charged, and electricity price.
[0062] S101, generates a rated power charging command based on the maximum charging power, and generates a remaining photovoltaic mode charging command based on the minimum charging power and the remaining photovoltaic power.
[0063] S102 divides the working time of the charging pile into multiple processing time periods based on the start time of charging and the time of vehicle use, and assigns charging instructions to each processing time period as needed for the amount of electricity to be charged; wherein, the charging instructions include rated power charging instructions and remaining photovoltaic mode charging instructions.
[0064] The photovoltaic charging scenario applied in this disclosure includes a photovoltaic power generation device, an energy storage system, and a charging pile. The photovoltaic power generation device generates electricity, which is then converted by an inverter or other means to power the energy storage system or directly charged via the charging pile. Simultaneously, the charging pile can also purchase electricity from the power grid to complete external charging. However, the power grid experiences peak and off-peak electricity prices. If charging is done by purchasing electricity when prices are high and by using photovoltaic power generation when prices are low, this scheduling not only reduces the revenue from photovoltaic power generation but also introduces unnecessary losses to the photovoltaic power generation device and energy storage system, reducing the utilization efficiency of the charging pile.
[0065] Based on this, in step S100, the maximum and minimum charging power that the charging pile can output are obtained and recorded as W(max) and W(min), respectively. The currently set charging power is obtained and recorded as W(now).
[0066] The basic information for charging piles also includes remaining photovoltaic information—the output power obtained before the grid meter. Since photovoltaic power first powers the load, and if there is an energy storage system, it then charges the storage system. Finally, any unused power is output back to the grid. The output power obtained before the grid meter is defined as the remaining photovoltaic power, denoted as W (excess).
[0067] The charging stations offer four charging methods:
[0068] 1. Rated power mode: Charges at rated power;
[0069] 2. Residual Photovoltaic Mode: Charges are only powered by the remaining photovoltaic energy;
[0070] 3. Timed charging mode: Charges according to a set time period and power.
[0071] 4. Intelligent charging mode: Set the usage time and the amount of electricity to be charged, and the system will automatically plan the charging to maximize the use of photovoltaic energy and take advantage of low-price periods for charging.
[0072] This disclosure enables an intelligent charging mode. Rated power charging and remaining photovoltaic charging modes are directly set. In the timed charging mode, the user can set the start and end time periods, and multiple time periods can be set; the charging power can also be set. In the intelligent charging mode, the user can fill in the usage time T (use), the amount of electricity to be charged E (car), and the electricity price; for example, for usage time, fill in "timed minutes". There are two ways to fill in the electricity price: one is to fill in a low-price time period, which can set up to 3 time periods: (Ta1,Tb1), (Ta2,Tb2), (Ta3,Tb3); the other is to fill in the actual future electricity price.
[0073] Among them, the user can start charging by swiping a card or manually, etc., and the time is recorded as T(star), that is, the start charging time.
[0074] Among them, the remaining photovoltaic power W(excess) can be obtained in real time. For example, the remaining photovoltaic power W(excess), the charging gun and the electric vehicle status S(N), and the set charging power W(now) can be obtained in real time through a timer. The electricity prices of the current day and the next day when the algorithm is executed can also be obtained, denoted as P(today) and P(tomorrow), where the electricity price is a set of electricity prices at different time periods in a day.
[0075] Among them, the charging instructions include:
[0076] 1. Rated power charging instruction. Generate a charging instruction with a charging power of W(max). If there is remaining photovoltaic power, the power to be purchased from the power grid is also required to be W(max)-W(excess); if there is no remaining photovoltaic power, the power to be purchased from the power grid is also required to be W(max).
[0077] 2. Remaining photovoltaic mode charging instruction. If the remaining photovoltaic power is greater than or equal to the minimum charging power, that is, W(excess)>=W(min), generate a charging instruction with a charging power of W(excess), and at this time, there is no need to purchase power from the power grid; if the remaining photovoltaic power is less than the minimum charging power, that is, W(excess)<W(min), generate an instruction with a charging power of 0, that is, do not charge.
[0078] 3. Generate a timed charging mode charging instruction. Generate a charging instruction with a charging power of W(now) for the set time period; if there is remaining photovoltaic power, the power to be purchased from the power grid is also required to be W(now)-W(excess); if there is no remaining photovoltaic power, the power to be purchased from the power grid is also required to be W(now).
[0079] In one of the embodiments, Figure 2 is a flowchart of a charging method for a charging pile combined with photovoltaic for another publicly disclosed embodiment, as Figure 2 shown. In step S101, the process of dividing the working time of the charging pile into multiple processing time periods according to the start charging time and the vehicle usage time by electricity price includes step S200 and step S201:
[0080] S200, divide the working time into multiple electricity price intervals according to the difference in electricity price;
[0081] S201, use the start charging time and the vehicle usage time as the middle nodes of the electricity price intervals, and form processing time periods with the start nodes, end nodes and middle nodes of the electricity price intervals.
[0082] To better understand step S200 and step S201, the electricity price range is divided into a low-price range and a non-low-price range according to the electricity price difference. Among them, the low-price range corresponds to the low-price time period, and the high-price range corresponds to the high-price time period.
[0083] The processing time period includes a low-price time period group A {A1, A2,..., Aa} and a non-low-price time period group B {B1, B2,..., Bb}.
[0084] Figure 3 It is a schematic diagram of the time period division of an open embodiment. As Figure 3 shown, if the vehicle usage time T(use) >= T(star), then a 1-day time period is used for processing.
[0085] Suppose 3 low-price time periods are set, which are recorded as (Ta1, Tb1), (Ta2, Tb2), and (Ta3, Tb3) respectively. One day is divided into 7 intervals according to the time period, which are (T0:00, Ta1), (Ta1, Tb1), (Tb1, Ta2), (Ta2, Tb2), (Tb2, Ta3), (Ta3, Tb3), and (Tb3, T24:00).
[0086] The start charging time T(star) and the vehicle usage time T(use) are placed into the 7 intervals, and the intervals of one day become 9. They are respectively recorded as T1, T2, T3, T4, T5, T6, T7, T8, and T9. These intervals are divided into a low-price time period group A and a non-low-price time period group B from left to right, A {A1, A2,..., Aa}, B {B1, B2,..., Bb}, where a + b = 9; the time range values of the intervals are respectively recorded as: TA1, TA2,..., TAn, TB1, TB2,..., TBn.
[0087] Figure 4 It is a schematic diagram of the time period division of another open embodiment. As Figure 4 shown, if the vehicle usage time T(use) < T(star), then a 2-day time period is used for processing.
[0088] Suppose 3 low-price time periods are set, which are recorded as (Ta1, Tb1), (Ta2, Tb2), and (Ta3, Tb3) respectively
[0089] The first day is divided into 7 time intervals: (T0:00, Ta1), (Ta1, Tb1), (Tb1, Ta2), (Ta2, Tb2), (Tb2, Ta3), (Ta3, Tb3), (Tb3, T24:00); similarly, the second day is divided into 7 time intervals: (T0:00, Ta1), (Ta1, Tb1), (Tb1, Ta2), (Ta2, Tb2), (Tb2, Ta3), (Ta3, Tb3), (Tb3, T24:00).
[0090] Place the start charging time T(star) into the 7 intervals of the first day, making the first day's intervals into 8. These are denoted as T1, T2, T3, T4, T5, T6, T7, and T8. Place the usage time T(use) into the 7 intervals of the second day, making the second day's intervals into 8. These are denoted as T9, T10, T11, T12, T13, T14, T15, and T16. Divide these two days' intervals from left to right into a low-price time period group A and a non-low-price time period group B, where A{A1, A2, ..., Aa} and B{B1, B2, ..., Bb}, and a + b = 16. Record the time range values of the intervals as: TA1, TA2, ..., TAn, TB1, TB2, ..., TBn.
[0091] like Figure 3 or Figure 4 As shown, the time interval range to the left of the starting charging time T(start) is set to 0, and the time interval range to the right of the usage time T(use) is also set to 0. The ranges of the lower time period group A are summed and denoted as T(A), where T(A) = TA1 + TA2 + ... + TAn. The charging amount during the lower time period A at maximum power is calculated and denoted as E(A), where E(A) = T(A). W(max).
[0092] If E(car) <= E(A), then for the non-low-price time period group B{B1, B2, ..., Bb}, allocate the remaining photovoltaic mode charging instructions. For the low-price time period group A{A1, A2, ..., Aa}, take the integer value x for E(car) / TA1. For A{A1, A2, ..., Ax}, allocate the remaining photovoltaic mode charging instructions. For A{Ax, Ax+1, ..., An}, allocate the rated power charging instructions.
[0093] If E(car) > E(A), then in the non-low-price time period group B{B1, B2, ..., Bb}, the amount of electricity charged at maximum power in each time period is E(B1), E(B2), ..., E(Bb), and E(Bb) = T(Bb). W(max) is the record counter n=1.
[0094] If E(car) <= E(A) + E(Bb) + …… + E[B(b - n + 1)], then for the low - price time period group A{A1, A2, ……, Aa}, allocate the rated - power charging instruction; for the non - low - price time period group B{B(b - n + 1), ……, Bb}, allocate the remaining photovoltaic - mode charging instruction; at the same time, for the remaining non - low - price time periods, no charging instruction is generated.
[0095] If E(car) > E(A) + E(Bb) + …… + E[B(b - n + 1)], and n <= b, then increment the counter by 1, i.e., n = n + 1, and at the same time return to the previous step for judgment.
[0096] If E(car) > E(A) + E(Bb) + …… + E[B(b - n + 1)], and n > b, then for all time periods, allocate the rated - power charging instruction.
[0097] If 2 or 1 low - price time period is set, follow the same steps above.
[0098] In one embodiment, as Figure 2 shown, the process of dividing the working time of the charging pile into multiple processing time periods according to the electricity price based on the start - charging time and the vehicle - using time in step S101 includes step S202 and step S203:
[0099] S202, determine the span of the working time according to the start - charging time and the vehicle - using time;
[0100] S203, classify and divide the working time periods according to the electricity - price magnitude to obtain multiple processing time periods; where the number of processing time periods is the same as the number of electricity - price classifications.
[0101] Refer to Figure 4 the time - setting rule, change the time - interval range value to the left of the start - charging time T(star) to 0, and change the time - interval range value to the right of the vehicle - using time T(use) to 0.
[0102] If the vehicle - using time T(use) >= T(star), then process it with a 1 - day time period. The 24 hours of a day are divided into several time periods. Put the start - charging time T(star) and the vehicle - using time T(use) into the 24 - hour time periods, and classify them according to the electricity - price magnitude. Suppose there are y kinds of electricity prices, arranged from small to large as A1, A2, ……, Ay, and the corresponding time periods are TA1, TA2, ……, TAy.
[0103] If the vehicle - using time T(use) < T(star), then process it with a 2 - day time period.
[0104] Two days and 48 hours are divided into several time periods. The charging start time T (star) is placed in the first 24-hour time period, and the vehicle usage time T (use) is placed in the second 24-hour time period. According to the electricity price, there are y types of electricity prices, arranged from smallest to largest, namely A1, A2, ..., Ay, and the corresponding time periods are TA1, TA2, ..., TAy.
[0105] Calculate the charging amount at maximum power for different time periods with the same electricity price, denoted as E(A1), E(A2), ..., E(Ay). That is, E(Ay) = T(Ay). W(max) and T(Ay) are the cumulative values for different time periods under this electricity price. The values for time periods outside the range of T(star) and T(use) are 0.
[0106] If E(car) <= E(A1) + E(A2) + ... + E[A(a)], define counter a = 1, then for time periods other than A{A1, A2, ..., Aa}, allocate the remaining photovoltaic mode charging instructions.
[0107] For time intervals Aa, assuming the intervals are Aa{Aa1, Aa2, ..., Aax} from left to right, and x is the interval number. The amount of electricity charged at maximum power in each interval is E(Aa1), E(Aa2), ..., E(Aax), where E(Aax) = T(Aax). W(max) is the record counter n=1.
[0108] If E(car) - E(A1) - ... - E[A(a-1)] <= E[Aa(x)] + ... + E[Aa(x-n+1)], then for the last n groups, the rated power charging command is allocated; for the first xn groups, the remaining photovoltaic mode charging command is allocated.
[0109] If E(car) - E(A1) - ... - E[A(a-1)] > E[Aa(x)] + ... + E[Aa(x-n+1)], and n <= x, then increment the counter by 1, i.e., n = n + 1, and return to the previous step.
[0110] If E(car) - E(A1) - ... - E[A(a-1)] > E[Aa(x)] + ... + E[Aa(x-n+1)], and n > x, then the rated power charging command is assigned for all time periods.
[0111] If E(car) > E(A1) + E(A2) + ... + E[A(a)], and a <= y, then assign a rated power charging command for the time period Aa. Increment the counter by 1, i.e., a = a + 1, and return to the previous judgment step.
[0112] If E(car)>E(A1)+E(A2)+……+E[A(a)], and a>y, then the rated power charging command is assigned for all time periods.
[0113] According to the assigned charging instructions, they are sent to the charging stations, and charging is carried out during the corresponding processing time period.
[0114] In one embodiment, such as Figure 1 As shown, it also includes step S103:
[0115] The S103 requires additional charge during the charging process.
[0116] Due to the uncertainty of the remaining photovoltaic power, charging instructions need to be regenerated based on updated information.
[0117] Get the current charge amount, denoted as E(charge), and the remaining vehicle charge amount, denoted as E(remain). Then E(remain) = E(car) - E(charge).
[0118] Change the value of the charge required, E(car), to the remaining battery level. That is, E(car) = E(remain).
[0119] After a charging command is generated, if the charging command has been changed, it will be reissued; if the charging command has not been changed, it will not be reissued and will be executed as before.
[0120] It is executed once every set time threshold.
[0121] If the usage time exceeds the usage time T (use), the process will stop.
[0122] In any of the above embodiments of the photovoltaic-integrated charging pile charging method, after obtaining basic charging pile information and charging demand information, a rated power charging command is generated based on the maximum charging power, and a remaining photovoltaic mode charging command is generated based on the minimum charging power and the remaining photovoltaic power. Finally, based on the start charging time and vehicle usage time, the charging pile's working time is divided into multiple processing time periods according to electricity prices, and charging commands are allocated to each processing time period as needed for the amount of electricity charged. Based on this, by allocating different charging commands, the charging power of the charging pile can be flexibly adjusted in different processing time periods, achieving optimization of the photovoltaic-based charging method.
[0123] This disclosure also provides a charging device for a charging pile that incorporates photovoltaics.
[0124] Figure 5 This is a structural diagram of a photovoltaic-integrated charging pile charging device module according to one embodiment, as shown below. Figure 5 As shown, one embodiment of a photovoltaic-integrated charging pile charging device includes:
[0125] The information acquisition module 100 is used to acquire basic information of the charging pile and charging demand information. The basic information of the charging pile includes the maximum charging power, the minimum charging power and the remaining photovoltaic power. The charging demand information includes the start time of charging, the vehicle usage time, the amount of electricity to be charged and the electricity price.
[0126] The instruction generation module 101 is used to generate a rated power charging instruction based on the maximum charging power, and to generate a remaining photovoltaic mode charging instruction based on the minimum charging power and the remaining photovoltaic power.
[0127] The instruction issuing module 102 is used to divide the working time of the charging pile into multiple processing time periods based on the start charging time and vehicle usage time and the electricity price, and to allocate charging instructions to each processing time period as needed for charging power; wherein, the charging instructions include rated power charging instructions and remaining photovoltaic mode charging instructions.
[0128] The aforementioned photovoltaic-integrated charging pile device, after processing basic charging pile information and charging demand information, generates a rated power charging command based on the maximum charging power, and a remaining photovoltaic mode charging command based on the minimum charging power and remaining photovoltaic power. Finally, based on the start charging time and vehicle usage time, the charging pile's operating time is divided into multiple processing time periods according to electricity prices, and charging commands are allocated to each processing time period as needed. Based on this, by allocating different charging commands, the charging power of the charging pile can be flexibly adjusted within different processing time periods, achieving optimization of the photovoltaic-based charging method.
[0129] At least one embodiment of this disclosure also provides a data control device. Figure 6 This is a schematic block diagram of a data control device provided for at least one embodiment of the present disclosure. For example, such as... Figure 6 As shown, the data control device 20 may include one or more memories 200 and one or more processors 201. The memories 200 are used to store computer-executable instructions non-transitory; the processors 201 are used to run the computer-executable instructions, which, when run by the processors 201, can cause the processors 201 to perform one or more steps in the photovoltaic-integrated charging pile charging method according to any embodiment of this disclosure.
[0130] For details regarding the specific implementation and explanation of each step of the photovoltaic-integrated charging pile charging method, please refer to the relevant content in the above-mentioned embodiments of the photovoltaic-integrated charging pile charging method, which will not be repeated here. It should be noted that... Figure 6 The components of the data control device 20 shown are merely exemplary and not limiting. The data control device 20 may have other components depending on the actual application requirements.
[0131] In one embodiment, the processor 201 and the memory 200 can communicate directly or indirectly with each other. For example, the processor 201 and the memory 200 can communicate via a network connection. The network can include wireless networks, wired networks, and / or any combination of wireless and wired networks; this disclosure does not limit the type and function of the network. Alternatively, the processor 201 and the memory 200 can also communicate via a bus connection. The bus can be a Peripheral Component Interconnect Standard (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. For example, the processor 201 and the memory 200 can be located at a remote data server (cloud) or a distributed energy system (local), or at a client (e.g., a mobile device such as a mobile phone). For example, the processor 201 can be a central processing unit (CPU), a tensor processor (TPU), or a graphics processing unit (GPU), etc., with data processing and / or instruction execution capabilities, and can control other components in the data prediction device 20 to perform desired functions. The central processing unit (CPU) can be an x86 or ARM architecture, etc.
[0132] In one embodiment, memory 200 may include any combination of one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, erasable programmable read-only memory (EPROM), portable compact disc read-only memory (CD-ROM), USB memory, flash memory, etc. One or more computer-executable instructions may be stored on the computer-readable storage medium, and processor 201 may execute these computer-executable instructions to implement various functions of the data prediction device 20. Various applications and various data, as well as various data used and / or generated by the applications, may also be stored in memory 200.
[0133] It should be noted that the data control device 20 can achieve similar technical effects to the aforementioned charging method of charging piles combined with photovoltaics, and the repetitive parts will not be described again.
[0134] At least one embodiment of this disclosure also provides a non-transitory computer-readable storage medium. Figure 7 This is a schematic diagram of a non-transitory computer-readable storage medium provided for at least one embodiment of the present disclosure. For example, such as... Figure 7 As shown, one or more computer-executable instructions 301 may be stored non-transitory on the non-transitory computer-readable storage medium 30. For example, when the computer-executable instructions 301 are executed by a computer, they may cause the computer to perform one or more steps in a photovoltaic-integrated charging pile charging method according to any embodiment of this disclosure.
[0135] In one embodiment, the non-transitory computer-readable storage medium 30 can be applied to the data control device 20 described above, for example, it can be the memory 200 in the data control device 20.
[0136] In one embodiment, the description of the non-transitory computer-readable storage medium 30 can be found in the description of the memory 200 in the embodiment of the data control device 20, and will not be repeated hereafter.
[0137] It should be noted that the memory 200 stores different non-transient computer-executable instructions, and the data control device 20 corresponds to a firmware upgrade device. When the computer-executable instructions are run by the processor 201, the processor 201 can perform one or more steps in the photovoltaic-integrated charging pile charging method according to any embodiment of this disclosure.
[0138] The following points should be noted regarding this disclosure:
[0139] (1) The accompanying drawings of the embodiments of this disclosure only involve the structures involved in the embodiments of this disclosure. Other structures can be referred to the general design.
[0140] (2) For clarity, the thickness and dimensions of layers or structures are enlarged in the accompanying drawings used to describe embodiments of the invention. It will be understood that when an element such as a layer, film, region, or substrate is referred to as being “above” or “below” another element, the element may be “directly” located “above” or “below” the other element, or there may be intermediate elements present.
[0141] (3) Where there is no conflict, the embodiments and features described herein can be combined to obtain new embodiments. The above are merely specific implementations of this disclosure, but the scope of protection of this disclosure is not limited thereto; the scope of protection of this disclosure should be determined by the scope of the claims.
[0142] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0143] The above embodiments merely illustrate several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. A method for charging a charging pile combined with photovoltaic, characterized in that, Including the following steps: Obtain basic information about the charging pile and charging demand information; wherein, the basic information about the charging pile includes the maximum charging power, the minimum charging power, and the remaining photovoltaic power; the charging demand information includes the start charging time, vehicle usage time, amount of electricity to be charged, and electricity price; A rated power charging command is generated based on the maximum charging power, and a remaining photovoltaic mode charging command is generated based on the minimum charging power and the remaining photovoltaic power. Based on the start charging time and the vehicle usage time, the working time of the charging pile is divided into multiple processing time periods according to the electricity price, and charging instructions are assigned to each processing time period according to the required charging power; wherein, the charging instructions include rated power charging instructions and remaining photovoltaic mode charging instructions; The process of dividing the charging station's operating time into multiple processing time periods based on the charging start time and vehicle usage time, using the electricity price, includes the following steps: Based on the differences in electricity prices, the working hours are divided into multiple electricity price ranges; The start charging time and the vehicle usage time are used as the intermediate nodes of the electricity price range, and the start node, end node and intermediate node of the electricity price range are used to form the processing time period; The processing time period includes low-price time period group A{A1, A2, ..., Aa} and non-low-price time period group B{B1, B2, ..., Bb}; The process of allocating charging instructions to each processing time period according to the required charging power includes the following steps: Calculate the charging amount during the low-price period when charging at the maximum charging power, and denot it as E(A); If the required charging capacity E(car) <= E(A), then the remaining photovoltaic mode charging command is allocated to the non-low-price time period group B; for the low-price time period group A{A1, A2, ..., Aa}, the remaining photovoltaic mode charging command is allocated to A{A1, A2, ..., Ax}; for A{Ax, Ax+1, ..., An}, the rated power charging command is generated; where E(car) / T(A1) is rounded to the nearest integer x, and T(A1) represents the time range value of the low-price time period A1; If E(car) > E(A), in the non-low-price time period group B {B1, B2, …, Bb}, the electric quantity of each time period charged at the maximum power is respectively: E(B1), E(B2), …, E(Bb), E(Bb)=T(Bb) W(max), record counter n=1; wherein, T(Bb) represents the time range value of the non-low-price time period group Bb; W(max) represents the maximum charging power. If E(car) <= E(A) + E(Bb) + ... + E[B(b-n+1)], then for the low-price time period group A{A1, A2, ..., Aa}, a charging instruction at rated power is generated; for the non-low-price time period group B{B(b-n+1), ..., Bb}, a charging instruction at the remaining photovoltaic mode is generated; for the remaining non-low-price time periods, no charging instruction is generated. If E(car) > E(A) + E(Bb) + ... + E[B(b-n+1)], and n <= b, then increment the counter by 1, i.e., n = n + 1; If E(car) > E(A) + E(Bb) + ... + E[B(b-n+1)], and n > b, then for all time periods, a charging command at rated power is generated.
2. The method of claim 1, wherein the charging station is integrated with a photovoltaic panel. The process of dividing the charging station's operating time into multiple processing time periods based on the charging start time and vehicle usage time, using the electricity price, includes the following steps: The span of the working time is determined based on the start charging time and the vehicle usage time; The working time periods are divided according to the electricity price to obtain multiple processing time periods; wherein the number of processing time periods is equal to the number of electricity price categories.
3. The method of claim 2, wherein the method further comprises: The processing time period includes processing time periods TA1, TA2, ..., TAy; where y represents the number of categories; The process of allocating charging instructions to each processing time period according to the required charging power includes the following steps: The charging amounts of each of the processing time periods charged at the maximum power supply W(max) are calculated and are respectively denoted as E(A1), E(A2),..., E(Ay); that is, E(Ay)=T(Ay) W(max), T(Ay) is the time accumulation value of the processing time period TAy; If the required charging capacity E(car) <= E(A1) + E(A2) + ... + E[A(a)], define counter a = 1, and allocate the remaining photovoltaic mode charging instructions for the processing time period that is not A{A1, A2, ..., Aa}; Assume that the processing time period Aa is divided by time as Aa{Aa1, Aa2, …, Aax}, x is the number of time periods; the electric quantity of each time period with the maximum charging power is respectively: E(Aa1), E(Aa2), …, E(Aax), E(Aax)=T(Aax) W(max), record counter n=1; If E(car) - E(A1) - ... - E[A(a-1)] <= E[Aa(x)] + ... + E[Aa(x-n+1)], then for the last n groups, the rated power charging command is allocated; for the first xn groups, the remaining photovoltaic mode charging command is allocated. If E(car) - E(A1) - ... - E[A(a-1)] > E[Aa(x)] + ... + E[Aa(x-n+1)], and n <= x, then increment the counter by 1, i.e., n = n + 1; If E(car) - E(A1) - ... - E[A(a-1)] > E[Aa(x)] + ... + E[Aa(x-n+1)], and n > x, then the rated power charging command is assigned for all time periods; If E(car) > E(A1)+E(A2)+……+E[A(a)], and a<=y, then for the processing time period Aa, a rated power charging command is assigned; then the counter is incremented by 1, i.e., a=a+1; If E(car) > E(A1)+E(A2)+……+E[A(a)], and a>y, then assign a rated power charging command for all processing time periods.
4. The method of claim 1-3, wherein, The rated power charging command is used to control the charging pile to charge at the maximum charging power; The remaining photovoltaic mode charging command is used to control the charging pile to charge at the mode charging power; wherein, when the remaining photovoltaic power is greater than or equal to the minimum charging power, the mode charging power is the remaining photovoltaic power; when the remaining photovoltaic power is less than the minimum charging power, the mode charging power is 0.
5. The method of claim 1-3, wherein, It also includes the following steps: The required charge level is updated during the charging process.
6. A charging device of a charging pile combined with photovoltaic, characterized in that, include: The information acquisition module is used to acquire basic information about the charging pile and charging demand information; wherein, the basic information about the charging pile includes the maximum charging power, the minimum charging power, and the remaining photovoltaic power; the charging demand information includes the start charging time, vehicle usage time, the amount of electricity to be charged, and the electricity price; The instruction generation module is used to generate a rated power charging instruction based on the maximum charging power, and to generate a remaining photovoltaic mode charging instruction based on the minimum charging power and the remaining photovoltaic power. The instruction issuing module is used to divide the working time of the charging pile into multiple processing time periods based on the start charging time and the vehicle usage time, using the electricity price, and to allocate charging instructions to each processing time period according to the required charging power; wherein, the charging instructions include rated power charging instructions and remaining photovoltaic mode charging instructions; The process of dividing the charging station's operating time into multiple processing time periods based on the charging start time and vehicle usage time, using the electricity price, includes the following steps: Based on the differences in electricity prices, the working hours are divided into multiple electricity price ranges; The start charging time and the vehicle usage time are used as the middle node of the electricity price range, and the start node, end node and the middle node of the electricity price range are used to form the processing time period; The processing time period includes low-price time period group A{A1, A2, ..., Aa} and non-low-price time period group B{B1, B2, ..., Bb}; The process of allocating charging instructions to each processing time period according to the required charging power includes the following steps: Calculate the charging amount during the low-price period when charging at the maximum charging power, and denot it as E(A); If the required charging capacity E(car) <= E(A), then the remaining photovoltaic mode charging command is allocated to the non-low-price time period group B; for the low-price time period group A{A1, A2, ..., Aa}, the remaining photovoltaic mode charging command is allocated to A{A1, A2, ..., Ax}; for A{Ax, Ax+1, ..., An}, the rated power charging command is generated; where E(car) / T(A1) is rounded to the nearest integer x, and T(A1) represents the time range value of the low-price time period A1; If E(car) > E(A), in the non-low-price time period group B {B1, B2, …, Bb}, the electric quantity of each time period charged at the maximum power is respectively: E(B1), E(B2), …, E(Bb), E(Bb)=T(Bb) W(max), record counter n=1; wherein, T(Bb) represents the time range value of the non-low-price time period group Bb; W(max) represents the maximum charging power. If E(car) <= E(A) + E(Bb) + ... + E[B(b-n+1)], then for the low-price time period group A{A1, A2, ..., Aa}, a charging instruction at rated power is generated; for the non-low-price time period group B{B(b-n+1), ..., Bb}, a charging instruction at the remaining photovoltaic mode is generated; for the remaining non-low-price time periods, no charging instruction is generated. If E(car) > E(A) + E(Bb) + ... + E[B(b-n+1)], and n <= b, then increment the counter by 1, i.e., n = n + 1; If E(car) > E(A) + E(Bb) + ... + E[B(b-n+1)], and n > b, then for all time periods, a charging command at rated power is generated.
7. A non-transitory computer-readable storage medium, comprising: The non-transitory computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, implement the photovoltaic-integrated charging pile charging method as described in any one of claims 1 to 5.
8. A data control device, comprising: One or more memories that store computer-executable instructions non-transitory; One or more processors configured to run computer-executable instructions, wherein the computer-executable instructions are executed by the one or more processors to implement the photovoltaic-integrated charging method for charging piles as described in any one of claims 1 to 5.