A charging pile charging power adaptation system based on LMS adaptive algorithm

Abstract

The present invention discloses a charging pile charging power adaptation system based on the LMS adaptive algorithm. The charging pile power output module is used for power output and collecting charging pile output power data; the charging pile power output module is used for collecting charging pile output power data; the charging power scaling module can receive the charging pile output power data and the electric vehicle demand power data, and calculate the different charging times S through the received data. n The power that the charging pile needs to output is adjusted to make the different charging times S n The output power of the charging pile matches the required power of the electric vehicle; compared with the prior art which only adapts the charging power of different vehicles or the charging power adaptation technology of the same vehicle in different time periods, the present invention takes these two different situations into consideration at the same time, and simplifies these two different situations into the supply and demand relationship between the output power of the charging pile and the required power of the electric vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles and electric vehicle charging power adaptation, and in particular to a charging pile charging power adaptation system based on an LMS adaptive algorithm. Background Art

[0002] At present, with the continuous growth of China's economy, the acceleration of urbanization, the continuous improvement of consumption levels, and the continuous renewal of people's consumption concepts, the market demand for electric vehicles will continue to maintain a steady growth. At the same time, electric vehicles of different types and brands are also competing to be launched. High-power charging and long-term endurance have always been the technical points pursued by electric vehicles, but this also puts higher requirements on electric vehicle charging piles.

[0003] The charging power of different models of electric vehicles is usually different. When charging an electric vehicle with a charging pile that does not match the power, the following problems often occur: 1) When the charging pile power is less than the rated charging power of the electric vehicle, the charging speed of the electric vehicle will be too slow, which is not conducive to charging the electric vehicle; 2) When the charging pile power is greater than the rated charging power of the electric vehicle, the charging current will be too large, which will damage the battery life of the electric vehicle. Therefore, for different electric vehicles, different powers need to be adapted to charge the electric vehicle. At the same time, for the same electric vehicle, its charging power is also a dynamic change process during the charging process. Therefore, how to meet the charging power of the same electric vehicle in different time periods has also become a problem that needs to be solved. Summary of the invention

[0004] In order to solve the above-mentioned prior art problems, the present invention provides a charging pile charging power adaptation system based on the LMS adaptive algorithm, which is mainly composed of a charging pile power output module, an electric vehicle charging power data acquisition module and a charging power scaling module. Among them, the system is based on the LMS adaptive algorithm, coordinates the charging data of the target electric vehicle and the charging pile charging data, and through the charging power scaling module, the output power of the charging pile is infinitely close to the demand of the electric vehicle, so as to meet the different charging power requirements of different electric vehicles and the different charging power requirements of the same electric vehicle in different time periods due to changes in battery power.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is:

[0006] A charging pile charging power adaptation system based on LMS adaptive algorithm, characterized by comprising:

[0007] Charging pile power output module;

[0008] Electric vehicle charging power data acquisition module;

[0009] Charging power scaling module;

[0010] The charging pile power output module is used for power output and collecting charging pile output power data;

[0011] The electric vehicle charging power data acquisition module is used to collect electric vehicle demand power data;

[0012] The charging power scaling module can receive the charging pile output power data and the electric vehicle demand power data, and calculate different charging times S through the received data. n The power that the charging pile needs to output, and after adjusting the output power, the different charging times S n The output power of the charging pile matches the required power of the electric vehicle.

[0013] Preferably, the electric vehicle charging power data collection module is further configured to collect electric vehicle charging power data; the charging power scaling module can calculate the difference between the electric vehicle's demand power data and the electric vehicle's charging power data, so as to verify the adjustment effect of the output power.

[0014] Preferably, at different charging times Sn, the charging pile output power data and electric vehicle power demand data The relationship characteristics are:

[0015] Adjacent Sn moments and The difference is greater than or equal to 1kw.

[0016] Preferably, the different charging times S n The time interval is ≥ 30min.

[0017] Preferably, the charging power scaling module calculates different charging times S by LMS adaptive algorithm. n The power that the charging pile needs to output;

[0018] The LMS adaptive algorithm uses different charging times S n Under this condition, the required power of the electric vehicle is the expected signal, so as to adjust the output power filter coefficient and change the output power of the charging pile so that the charging time S n The output power of the charging pile matches the required power of the electric vehicle.

[0019] Preferably, the output power of the charging pile after adjustment is set and the power demand of electric vehicles The error threshold between is λ, which is used to judge different charging times S n Check whether the output power of the charging pile matches the power required by the electric vehicle. and The error e(n) between them is calculated as:

[0020]

[0021] Preferably, the output power filter coefficient is calculated as follows:

[0022]

[0023] Among them, w n+1 is the nth filter coefficient w n The updated data, μ is to reduce the output power of the charging pile after the previous adjustment The additional matching coefficient is added to influence the calculation results.

[0024] Preferably, the matching coefficient μ is set to μ≦0.001.

[0025] Preferably, the charging pile charging power adaptation system based on the LMS adaptive algorithm is characterized by comprising:

[0026] Vehicle information storage module;

[0027] The vehicle information storage module can store the charging vehicles at different charging times S n The output power filter coefficient under the charging power scaling module can read the data stored in the vehicle information storage module, and use the stored output power filter coefficient to directly adjust the output power of the charging pile.

[0028] Preferably, the vehicle information storage module only stores the output power filter coefficients of the vehicle that is charging at the charging station for the first time.

[0029] The beneficial effects of the present invention are embodied in: the present invention provides a charging pile charging power adaptation system based on the LMS adaptive algorithm, which realizes the control of the output power of the charging pile to meet the different charging powers required by the electric vehicle. Compared with the traditional charging pile that does not control the charging power, the charging pile in the present invention can achieve intelligent charging power adaptation. At the same time, compared with the prior art that only adapts the charging power of different cars or the charging power adaptation technology for the same car in different time periods, the present invention takes into account these two different situations at the same time, and simplifies these two different situations into the supply and demand relationship between the output power of the charging pile and the power required by the electric vehicle, thereby realizing the relevant technical requirements and saving enterprise costs at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 The curve of charging power versus charging time for a certain electric vehicle;

[0031] Figure 2 It is a schematic diagram of an electric vehicle charging power adaptation system based on the LMS adaptive algorithm;

[0032] Figure 3 This is a schematic diagram of an electric vehicle charging power adaptation system solution based on the LMS adaptive algorithm;

[0033] Figure 4 A schematic diagram of the system execution environment in the present invention;

[0034] Figure 5 It is a charging power scaling module based on the LMS adaptive algorithm; DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] See also Figure 1-5 As shown, the specific embodiments provided by the present invention are as follows:

[0037] Example 1

[0038] A charging pile charging power adaptation system based on LMS adaptive algorithm, characterized by comprising:

[0039] Charging pile power output module;

[0040] Electric vehicle charging power data acquisition module;

[0041] Charging power scaling module;

[0042] The charging pile power output module is used for power output and collecting charging pile output power data;

[0043] The electric vehicle charging power data acquisition module is used to collect electric vehicle demand power data;

[0044] The charging power scaling module can receive the charging pile output power data and the electric vehicle demand power data, and calculate the different charging times S through the received data. n The power that the charging pile needs to output, and after adjusting the output power, the different charging times S n The output power of the charging pile matches the required power of the electric vehicle.

[0045] The charging power of different electric vehicles is usually different. When charging an electric vehicle with a charging pile that does not match the power, the following problems often occur: 1) When the charging pile power is less than the rated charging power of the electric vehicle, the charging speed of the electric vehicle will be too slow, which is not conducive to charging the electric vehicle; 2) When the charging pile power is greater than the rated charging power of the electric vehicle, the charging current will be too large, which will damage the battery life of the electric vehicle. Therefore, different electric vehicles need to be adapted to different powers for charging. At the same time, for the same electric vehicle, its charging power is also a dynamic change process during the charging process.

[0046] This solution collects the charging power data of electric vehicles and the output power data of charging piles, and uses the charging power scaling module to match the output power of the charging piles with the charging power of the electric vehicles, thereby realizing the intelligent adaptation of the charging piles to the different charging power requirements of different electric vehicles and the different charging power requirements of the same electric vehicle in different time periods due to changes in demand power.

[0047] Example 2

[0048] In this embodiment, as a further improvement of the technical solution of Embodiment 1, it is characterized in that:

[0049] The electric vehicle charging power data collection module is further configured to collect electric vehicle charging power data; the charging power scaling module can calculate the difference between the electric vehicle's required power data and the electric vehicle's charging power data, so as to verify the adjustment effect of the output power.

[0050] Embodiment 1 is to make the output power of the charging pile match the power demand of the electric vehicle, so as to achieve the charging power adaptation of the charging pile and the electric vehicle. However, during the charging process, the actual input power of the electric vehicle may be different from the output power of the charging pile due to the influence of temperature changes, grid voltage fluctuations, etc. This solution verifies the adjustment effect of the output power by comparing the difference between the power demand data and the actual input power data of the electric vehicle. In this way, the actual adjustment effect can be clearly understood, and the output power of the charging pile can be adjusted again based on the verification results.

[0051] Example 3

[0052] In this embodiment, as a further improvement of the technical solution of Embodiment 3, it is characterized in that:

[0053] The different charging times Sn, the charging pile output power data and and electric vehicle power demand data The relationship characteristics are: adjacent Sn moments and The difference is greater than or equal to 1kw.

[0054] In the actual charging process, the power demand of electric vehicles will fluctuate in a small range in a short period of time, and jump in a large range in a long period of time; when the fluctuation changes in a small range, the difference between the output power of the charging pile and the power demand of the electric vehicle is small, and no adjustment is required. Therefore, this solution sets and The output power of the charging pile will be adjusted only when the difference is greater than or equal to 1kw. This can reduce the number of adjustments during the entire charging process and avoid severe operating load on the charging pile system.

[0055] Example 4

[0056] In this embodiment, as a further improvement of the technical solution of Embodiment 3, it is characterized in that:

[0057] The different charging times S n The time interval is ≥ 30min.

[0058] During the actual charging process, the actual power demand of the electric vehicle may experience short-term abnormal fluctuations, resulting in and The difference is temporarily greater than or equal to 1kw. In order to prevent the system from judging such abnormal fluctuations as a signal to adjust the output power of the charging pile, this solution sets different charging times S n The time interval is ≥ 30 minutes, which can avoid invalid adjustments of the system and reduce the system operation load.

[0059] Example 5

[0060] In this embodiment, as a further improvement of the technical solution of Embodiment 3, it is characterized in that:

[0061] The charging power scaling module calculates different charging times S through the LMS adaptive algorithm. n The power that the charging pile needs to output;

[0062] The LMS adaptive algorithm uses different charging times S n Under this condition, the required power of the electric vehicle is the expected signal, so as to adjust the output power filter coefficient and change the output power of the charging pile so that the charging time S n The output power of the charging pile matches the required power of the electric vehicle.

[0063] The adaptive algorithm can use the parameters of the filter obtained at the previous moment to automatically adjust the parameters of the filter at the current moment. This is to adapt to the statistical characteristics of unknown or randomly changing signals and noise, thereby realizing the optimal filter. That is, it adjusts its own parameters according to different signal environments. Its application space is very wide. Such as system identification, noise cancellation, adaptive equalization, linear prediction, adaptive antenna arrays and many other fields.

[0064] During the charging process of electric vehicles, the actual charging power is in a dynamic change process. In order to make the charging pile output power Power demand for electric vehicles There is a good following effect. The present invention adopts LMS adaptive algorithm to output power of charging pile. Real-time control is performed to enable the electric vehicle to meet the requirements at time S n The power demand.

[0065] Example 6

[0066] In this embodiment, as a further improvement of the technical solution of Embodiment 5, it is characterized in that:

[0067] Set the adjusted charging pile output power and the power demand of electric vehicles The error threshold between is λ, which is used to judge different charging times S n Check whether the output power of the charging pile matches the required power of the electric vehicle. and The error e(n) between them is calculated as:

[0068]

[0069] This error represents the difference between the power currently required by the electric vehicle and the output power of the charging pile. The absolute value of the error is reduced by percentage calculation. Theoretically, the smaller the error e(n), the better. By using this error solution, the error can be reduced to 1*e -4 , so as to meet the actual usage needs;

[0070] Example 7

[0071] In this embodiment, as a further improvement of the technical solution of Embodiment 6, it is characterized in that:

[0072] The output power filter coefficient is calculated as follows:

[0073]

[0074] Among them, w n+1 is the nth filter coefficient w nThe updated data, μ is to reduce the output power of the charging pile after the previous adjustment The additional matching coefficient is added to influence the calculation results.

[0075] When updating the filter coefficient, it is also necessary to consider the impact of the charging pile output power data before adjustment. Therefore, this solution adds an additional ratio coefficient μ to limit its data, achieving a more accurate adjustment of the charging pile output power. Make adjustments.

[0076] Example 8

[0077] In this embodiment, as a further improvement of the technical solution of Embodiment 7, it is characterized in that:

[0078] The size of the matching coefficient μ is set to μ≦0.001.

[0079] According to the actual test of this scheme, it is concluded that when the ratio coefficient is less than 0.001, it has a better effect, which can make the charging power data fluctuate less, and the fluctuation range can be reduced to between (-4,4).

[0080] Example 9

[0081] In this embodiment, as a further improvement of the technical solution of Embodiment 1, it is characterized by comprising:

[0082] Vehicle information storage module;

[0083] The vehicle information storage module can store the charging vehicles at different charging times S n The output power filter coefficient under the charging power scaling module can read the data stored in the vehicle information storage module, and use the stored output power filter coefficient to directly adjust the output power of the charging pile.

[0084] In the actual charging process, each vehicle has a n Under this situation, the required power is basically the same, and the output power of the charging pile can be adjusted based on the output power filter coefficient of the last charging to adapt to the charging power of the electric vehicle. The vehicle information storage module added in this solution can be used to store the different charging times S of each electric vehicle. n The output power filter coefficient under the saved output power filter coefficient can be used to directly adjust the output power of the charging pile to charge the electric vehicle, which can effectively reduce the number of system operations and reduce the system operation load.

[0085] Example 10

[0086] In this embodiment, as a further improvement of the technical solution of Embodiment 9, it is characterized in that:

[0087] The vehicle information storage module only stores the output power filter coefficients of the vehicle that is charging at the charging station for the first time.

[0088] Each electric vehicle that comes to the charging station to charge has different charging times S n The output power filter coefficient only needs to be recorded once and can be reused later. The vehicle information storage module can determine whether the vehicle coming to charge is charging at the charging station for the first time by recording the license plate number or user login information, and then determine whether the output power filter coefficient needs to be recorded. This can avoid repeated recording of charging data and reduce system load.

[0089] In the description of the embodiments of the present invention, it needs to be understood that terms such as “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “center”, “top”, “bottom”, “top”, “bottom”, “inside”, “outside”, “inside”, and “outside” indicate orientation or positional relationships.

[0090] In the description of the embodiments of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "install", "connect", "connect", and "assemble" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0091] In the description of the embodiments of the present invention, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0092] In the description of the embodiments of the present invention, it is to be understood that "-" and "~" represent the range between two values, and the range includes the endpoints. For example: "AB" represents a range greater than or equal to A and less than or equal to B. "A~B" represents a range greater than or equal to A and less than or equal to B.

[0093] In the description of the embodiments of the present invention, the term "and / or" herein is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " herein generally indicates that the associated objects before and after are in an "or" relationship.

[0094] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A charging pile charging power adaptation system based on LMS adaptive algorithm, characterized in that: include: Charging pile power output module; Electric vehicle charging power data acquisition module; Charging power scaling module; The charging pile power output module is used for power output and collecting charging pile output power data; The electric vehicle charging power data acquisition module is used to collect electric vehicle demand power data; The charging power scaling module can receive the charging pile output power data and the electric vehicle demand power data, and calculate different charging times S through the received data. n The power that the charging pile needs to output is adjusted to make the different charging times S n The output power of the charging pile matches the required power of the electric vehicle; The charging power scaling module calculates different charging times S by using the LMS adaptive algorithm. n The power that the charging pile needs to output; The LMS adaptive algorithm uses different charging times S n Under this condition, the required power of the electric vehicle is the expected signal, so as to adjust the output power filter coefficient and change the output power of the charging pile so that the charging time S n The output power of the charging pile matches the required power of the electric vehicle; Set the adjusted charging pile output power and the power demand of electric vehicles The error threshold between is λ, which is used to judge different charging times S n Check whether the output power of the charging pile matches the power required by the electric vehicle. and The error e(n) between them is calculated as: The output power filter coefficient is calculated as follows: Among them, W n+1 is the nth filter coefficient W n The updated data, μ is to reduce the output power of the charging pile after the previous adjustment The additional ratio coefficient added to the calculation results; The size of the matching coefficient μ is set to μ≦0.

001.

2. According to claim 1, a charging pile charging power adaptation system based on LMS adaptive algorithm is characterized in that: The electric vehicle charging power data collection module is further configured to collect electric vehicle charging power data; the charging power scaling module can calculate the difference between the electric vehicle's required power data and the electric vehicle's charging power data, so as to verify the adjustment effect of the output power.

3. According to claim 1, a charging pile charging power adaptation system based on LMS adaptive algorithm is characterized in that: The different charging times S n , charging pile output power data and electric vehicle power demand data The relationship characteristics are: adjacent S n time and The difference is greater than or equal to 1kw.

4. According to claim 3, a charging pile charging power adaptation system based on LMS adaptive algorithm is characterized in that: The different charging times S n The time interval is ≥ 30min.

5. According to the charging pile charging power adaptation system based on LMS adaptive algorithm as claimed in claim 1, it is characterized in that: include: Vehicle information storage module; The vehicle information storage module can store the charging vehicles at different charging times S n The output power filter coefficient under the charging power scaling module can read the data stored in the vehicle information storage module, and use the stored output power filter coefficient to directly adjust the output power of the charging pile.

6. According to claim 5, a charging pile charging power adaptation system based on LMS adaptive algorithm is characterized in that: The vehicle information storage module only stores the output power filter coefficients of the vehicle that is charging at the charging station for the first time.

Images