CN114720809A - Vehicle-mounted bidirectional charger test system and control method thereof - Google Patents
Vehicle-mounted bidirectional charger test system and control method thereof Download PDFInfo
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Abstract
The invention relates to the technical field of digital information transmission, and discloses a vehicle-mounted bidirectional charger testing system and a control method thereof, wherein the system comprises a charger type detection module, a charger charging and discharging control module, a charger parameter acquisition module, a charger data preprocessing module, a charger data storage module, a data modeling module, a data early warning module, a man-machine interaction module and a cloud data access control module, the charger type detection module provides a basis for charger performance detection selection, can be used for harmonic analysis of a centralized large charging station access system adopting a conventional charging mode, improves the use efficiency of the detection system, ensures the high efficiency of charger parameter data management feedback by matching the data modeling module and the data early warning module, and avoids the problem of incomplete detection means and information feedback effect, the two detection states of the charger are solved, and the charger is safer and more reliable.
Description
Technical Field
The invention relates to the technical field of transmission systems of measured values, control signals or similar signals, in particular to a vehicle-mounted bidirectional charger test system and a control method thereof.
Background
With the continuous development of new energy automobiles, particularly the gradual maturity of battery technologies of pure electric vehicles in recent years, new energy subsidies also become a long policy for national sustainable development, a vehicle-mounted power supply serves as a three-power core component of the new energy automobile, alternating current commercial power is loaded on a shoulder of the new energy automobile to a battery pack, and the performance and efficiency of the vehicle-mounted power supply are directly related to the real-time cruising ability of the battery pack, so that the automatic test of the vehicle-mounted power supply is particularly important, a vehicle-mounted bidirectional charger needs to be comprehensively tested in the whole automobile development test process, the research of the current alignment test technology is in a primary stage, and no mature test scheme exists.
In prior art, when traditional on-vehicle machine that charges tests, because of traditional on-vehicle machine that charges is only the one-way power supply detection, when testing two-way on-vehicle machine that charges, need separately test two kinds of functions of machine that charges and dc-to-ac converter and the mode of need continuous switching test instrument and connection, the system that can't realize automated test in addition for test work is loaded down with trivial details, and power consumption consuming time also makes operating personnel the mistake appear simultaneously and leads to the personal safety to have the hidden danger.
Disclosure of Invention
Solves the technical problem
Aiming at the defects of the prior art, the invention provides a vehicle-mounted bidirectional charger test system and a control method thereof, a charger type detection module provides a basis for charger performance detection selection, the system can be used for harmonic analysis of a centralized large charging station access system adopting a conventional charging mode, the use efficiency of the detection system is improved, the high efficiency of charger parameter data management feedback is ensured by matching a data modeling module and a data early warning module, the problem that the effect brought by a final detection means and an information feedback process is not clear is avoided, two detection states of the charger are solved, and the system is safer and more reliable.
Technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: the vehicle-mounted bidirectional charger testing system comprises a charger type detection module, a charger charging and discharging control module, a charger parameter acquisition module, a charger data preprocessing module, a charger data storage module, a data modeling module, a data early warning module, a man-machine interaction module and a cloud data access control module, wherein the charger type detection module judges and detects whether the phase number of the vehicle-mounted charger is single phase or not based on the type of the charger, and the charger charging and discharging control module is based on the state control of charging or discharging of the charger.
Furthermore, the charger parameter acquisition module is based on a data acquisition and transmission process on the charger charging and discharging control module, and specifically comprises a data acquisition and transmission process of acquisition of voltage and current, input end power analysis, ripple and time sequence test and other parameters, the charger data preprocessing module is based on data on the charger parameter acquisition module for preprocessing, and the charger data storage module is used for storing the data in a classified manner.
Furthermore, the data modeling module draws a regression calculation method for the data variables to set an optimal value, the data early warning module learns a decision boundary through the characteristics of normal samples, and then judges whether new data is similar to training data or not through the decision boundary, and the data is considered to be abnormal when the new data exceeds the boundary.
Further, the human-computer interaction module is used for manually inputting, reading, monitoring and judging data based on the display end based on an abnormal program on the data early warning module; the cloud data access control module is based on data cloud transmission on the charger data storage module and the data modeling module.
Further, the method comprises the following specific steps:
the charger type detection module detects the type of the bidirectional charger by using a detection technology, and the charger charging and discharging control module controls the charging state of the charger;
the charger parameter acquisition module is used for acquiring data of the charging and discharging state of the charger, and after the acquired data are subjected to data preprocessing by the charger data preprocessing module, the data are classified and stored by the charger data storage module;
the data is classified and stored, the data is expressed into a pie chart and a tree chart form through the data modeling module, the characteristics of a normal sample are analyzed through the data early warning module to learn a decision boundary, and whether new data is similar to training data or not is judged through the decision boundary, and the data is considered to be abnormal when the new data exceeds the boundary;
when abnormal data occurs, the human-computer interaction module manually inputs, reads, monitors and judges the data based on the display terminal, and then the data are transmitted to the cloud end through the cloud data access control module.
Furthermore, the charger type detection module is used for comparing and analyzing harmonic waves generated by a charger access system formed by different rectifying devices as the harmonic waves generated by the motor type detection module access power system mainly come from a rectifying device of the charger, so that a charger harmonic wave measurement model is designed by using PSCAD software, a simulation model of a three-phase bridge type uncontrolled rectifying charger, a 12-pulse wave rectifying charger and a pulse width modulation rectifying charger is established, harmonic waves are measured by using a fast Fourier transform method, and data are compared and analyzed, and the model provides a basis for the motor type detection module to select the charger; a three-phase voltage type PWM rectifier is composed of a rectifying device and a simulation topology, double closed-loop control is adopted for PWM control, a current inner loop is used for controlling current according to a current instruction output by a voltage outer loop, fast current following performance is achieved, a current PI regulator is designed according to a typical I type system, a voltage outer loop is used for controlling direct-current side voltage of the three-phase voltage type PWM rectifier, anti-interference performance of a voltage ring is considered emphatically, the voltage outer loop PI regulator is designed according to a typical II type system, alternating-current side inductance is 0.005H, resistance is 0.5 ohm, alternating-current side capacitance is 2215uF, and direct-current side voltage is controlled at 700V.
Further, the data pre-warning module calculates local density deviation of a given data point relative to its neighbors through an LOF algorithm, an anomaly score of each sample is called a local anomaly factor, the anomaly score is local and depends on the isolation degree of the sample relative to surrounding neighborhoods, the locality is given by k neighbors, the local density is estimated by using the distance, samples with density obviously lower than that of its neighbors are identified by comparing the local density of the samples with that of its neighbors, and the samples are regarded as abnormal sample points, and the specific algorithm is as follows:
calculating k-distance of p: calculating the kth distance of the point p, namely the distance of the point k far away from the sample point p, excluding p;
calculating k-distance neighbor of p: calculating the kth neighborhood distance of the point p, namely all points within the kth distance of the point p, including the kth distance;
calculating reach-distance: if the reachable distance is smaller than the kth distance, the reachable distance is the kth distance, and if the reachable distance is larger than the kth distance, the reachable distance is the real distance, and the formula is as follows (the description is that d (p, o) is the distance from p to o): ka TeX parse error: expected ' } ", got ' EOF ' at end of input.. angle (o), d (p, o), the kth achievable distance from point o to point p, at least the kth distance of point o, or the true distance between 0 and p;
calculating local reachability diversity: local achievable density, dk (p) = fracl frac1 nk (p) lsumoinnk (p) reach-istancek (p, o), representing the inverse of the average achievable distance of a point to a point p within the kth neighborhood of point p;
calculating local outier factor: local outlier, fk (p) = fracl | nk (p) Σ oinnk (p) fracdrdk (o) lrdk (p) = local outlier
frac∑oinNk（p）lrdk（o）|Nk（p）Icdotfracllrdk（p）。
Further, a quadruple (p, G, GT, e) exists in the cloud data access control module through bilinear mapping, where p is a large prime number, G, GT are cyclic groups of order prime number p, and the following 3 conditions are satisfied for mapping e: GXG → GT, referred to as bilinear map:
bilinear: for ∀ u, v ∈ G, a, b ∈ Zp, there is e (ua, vb) = e (u, v) ab;
non-degeneration: ∃ G ∈ G, with e (G, G) being of order p in GT;
calculability: for ∀ u, v ∈ G, e (u, v) can be calculated;
the bilinear mapping is theoretical knowledge of modern cryptography, and mainly explains the concept related to the following groups, namely cyclic groups: the element G exists in G, the generated cyclic subgroup is G itself, the G is called cyclic group, for any element G in G, a cyclic set { G, G2, ·, gk } \ { G, G ^2,. the G ^ k \ G, G2,. the G } (gk = eg ^ k = egk = e) is a subgroup of G, and the cyclic set is called a k-order cyclic subgroup of G; order of the group: the number of elements of the finite group is the order of the group; abelian group: a group satisfying the commutative law a × b = b × a is called an abelian group, for example, Zn = {0, 1., n-1 } an integer set of order n under modulo n addition, so Zp referred to in the definition is an integer set of order p under modulo p addition.
Advantageous effects
The invention provides a vehicle-mounted bidirectional charger testing system and a control method thereof, which have the following beneficial effects:
according to the vehicle-mounted bidirectional charger testing system and the control method thereof, the charger type detection module provides basis for charger performance detection selection, the system can be used for harmonic analysis of a centralized large charging station access system adopting a conventional charging mode, the use efficiency of the detection system is improved, the high efficiency of charger parameter data management feedback is ensured by matching the data modeling module and the data early warning module, the problem that the effects caused by the detection of a final detection means and an information feedback process are not clear enough is avoided, two detection states of the charger are solved, and the system is safe and reliable.
Drawings
FIG. 1 is a diagram of a system for testing a vehicle-mounted bidirectional charger according to the present invention;
FIG. 2 is a simulation model diagram of the PWM rectification charger of the present invention;
FIG. 3 is a diagram of the voltage and current at the AC side of the PWM rectification charger of the present invention;
fig. 4 is a schematic diagram of a charger parameter acquisition module according to the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Embodiments of the application are applicable to computer systems/servers that are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known computing systems, environments, and/or configurations that may be suitable for use with computer systems/servers include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, networked personal computers, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above, and the like.
The computer system/server may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
Example 1
The invention provides a technical scheme that: a vehicle-mounted bidirectional charger testing system and a control method thereof comprise a charger type detection module, a charger charging and discharging control module, a charger parameter acquisition module, a charger data preprocessing module, a charger data storage module, a data modeling module, a data early warning module, a human-computer interaction module and a cloud data access control module, wherein the charger type detection module judges and detects whether the phase number of the vehicle-mounted charger is single-phase or not based on the type of the charger by the human-computer interaction module; the charging and discharging control module of the charger is based on the state control of charging or discharging of the charger; the charger parameter acquisition module is based on a data acquisition and transmission process on the charger charging and discharging control module, and specifically comprises the data acquisition and transmission processes of voltage and current, input end power analysis, ripple and time sequence test and other parameters; the charger data preprocessing module is used for preprocessing data on the charger parameter acquisition module; the charger data storage module stores data in a classified manner; the data modeling module draws the data variable to an optimal value by adopting a regression calculation method; the data early warning module is used for learning a decision boundary through the characteristics of a normal sample, judging whether new data is similar to training data or not through the decision boundary, and judging that the new data is abnormal when the new data exceeds the boundary; the man-machine interaction module is used for inputting, reading, monitoring and judging data manually based on a display terminal based on an abnormal program on the data early warning module; the cloud data access control module is based on data cloud transmission on the charger data storage module and the data modeling module.
A vehicle-mounted bidirectional charger test system and a management method of a control method thereof are disclosed, which specifically comprise the following steps:
101. the charger type detection module detects the type of the charger by using a detection technology, and the charger charging and discharging control module controls the charging state of the charger;
in this embodiment, a specific description is given of a charger type detection module, since harmonics generated by a motor type detection module accessing an electric power system mainly come from a rectifying device of a charger, harmonics generated by a charger access system composed of different rectifying devices are contrastively analyzed to provide a basis for harmonic control and charger selection of the motor type detection module, a charger harmonic measurement model is designed by using PSCAD software, a simulation model of a three-phase bridge type uncontrolled rectifying charger, a 12-pulse wave rectifying charger, and a pulse width modulation rectifying charger is established, harmonics are measured by using a fast fourier transform method, and data are contrastively analyzed, and the model provides a basis for the motor type detection module to select the charger.
Specifically, a three-phase voltage type PWM rectifier with a rectifying device composed of IGBTs and a simulation topology are provided, the PWM adopts double closed loop control, a current inner loop is used for controlling current according to a current instruction output by a voltage outer loop, so that the fast current following performance is achieved, a current PI regulator is designed according to a typical I type system, a voltage outer loop is used for controlling the direct current side voltage of the three-phase voltage type PWM rectifier, the anti-interference performance of a voltage loop is considered in an important way, the voltage outer loop PI regulator is designed according to a typical II type system, the alternating current side inductance is 0.005H, the resistance is 0.5 ohm, the alternating current side capacitance is 2215uF, and the direct current side voltage is controlled at 700V.
102. The charger parameter acquisition module is used for acquiring data of the charging and discharging state of the charger, preprocessing the acquired data through the charger data preprocessing module and then storing the data in a classified manner through the charger data storage module;
in this embodiment, it needs to be specifically described that the parameter acquisition module is a charger parameter acquisition module, all real-time data is acquired by a dedicated acquisition workstation, the acquisition workstation and the charger are interconnected through a CAN bus communication network, a "protocol parsing program" in the acquisition workstation parses a relevant communication message sent by the charger into data meeting system specifications, and sends the data to a system center server, and the system center server stores the relevant real-time data into a historical database at regular time according to user configuration, which is not specifically limited in this embodiment.
It should be specifically mentioned that the collection of dynamic data mainly includes the following sub-categories:
analog quantity: the method mainly comprises the steps of battery box voltage, battery monomer voltage, current and battery box temperature;
numerical quantity: the starting and stopping state of the charger, the communication state of the charger and the battery box and the like;
pulse quantity: the charger outputs electric quantity;
amount of time: unifying clocks according to standard clock source such as astronomical clock;
other types: the operation mode of the charger and the charging mode fixed value information, and this embodiment is not particularly limited.
103. The data is classified and stored, the data is expressed into a pie chart and a tree chart form through a data modeling module, the characteristics of a normal sample are analyzed through a data early warning module to learn a decision boundary, and whether new data is similar to training data or not is judged through the decision boundary, and the data is considered to be abnormal when the new data exceeds the boundary;
in this embodiment, it is specifically explained that the data early warning module calculates a local density deviation of a given data point with respect to its neighbor by using an LOF algorithm, an abnormal score of each sample is called a local abnormal factor, the abnormal score is local and depends on the degree of isolation of the sample with respect to a surrounding neighborhood, the locality is given by k neighbors, and the local density is estimated by using the distance, and by comparing the local density of the sample with the local density of its neighbor, samples having a density significantly lower than that of its neighbor are identified, and these samples are regarded as abnormal sample points, and the specific algorithm is as follows:
calculating k-distance of p: calculating the kth distance of the point p, namely the distance of a point k far away from the sample point p, excluding p;
calculating k-distance neighbor of p: calculating the kth neighborhood distance of the point p, namely all points within the kth distance of the point p, including the kth distance;
calculating reach-distance: if the reachable distance is smaller than the kth distance, the reachable distance is the kth distance, and if the reachable distance is larger than the kth distance, the reachable distance is the real distance, and the formula is as follows (the description is that d (p, o) is the distance from p to o): ka TeX parse error: expected ' } ", got ' EOF ' at end of input.. angle (o), d (p, o), the kth achievable distance from point o to point p, at least the kth distance of point o, or the true distance between 0 and p;
calculating local bioavailability intensity: the local achievable density. dk (p) = fracl frac1 nk (p) lsumoink (p) reach-istancek (p, o) representing the inverse of the average reachable distance of a point p from a point in the k-th neighborhood of point p;
calculating local outier factor: local outlier, fk (p) = fracl | nk (p) Σ oinnk (p) fracdrdk (o) lrdk (p) = local outlier
frac∑oinNk（p）lrdk（o）|Nk（p）Icdotfracllrdk（p）。
Specifically, the average of the ratio of the local reachable density of the neighboring point Nk § representing the point p to the local reachable density of the point p is described, which is not particularly limited in this embodiment.
104. When abnormal data occurs, the human-computer interaction module manually inputs, reads, monitors and judges the data on the basis of the display end and then transmits the data to the cloud end through the cloud data access control module;
in this embodiment, it is specifically explained that a quadruple (p, G, GT, e) exists in the cloud data access control module through bilinear mapping, where p is a large prime number, G and GT are cyclic groups with a prime number p, and the mapping e satisfies the following 3 conditions: GXG → GT, referred to as bilinear map:
bilinear: for ∀ u, v ∈ G, a, b ∈ Zp, there is e (ua, vb) = e (u, v) ab;
non-degradability: ∃ G ∈ G, with e (G, G) being of order p in GT;
calculability: for ∀ u, v ∈ G, e (u, v) can be calculated;
it is specifically explained that bilinear mapping is theoretical knowledge of modern cryptography, and mainly explains the concept related to the following groups, cyclic group: the element G exists in G, the generated cyclic subgroup is G itself, the G is called cyclic group, for any element G in G, a cyclic set { G, G2, ·, gk } \ { G, G ^2,. the G ^ k \ G, G2,. the G } (gk = eg ^ k = egk = e) is a subgroup of G, and the cyclic set is called a k-order cyclic subgroup of G; order of the group: the number of elements of the finite group is the order of the group; abelian group: a group satisfying the commutative law a × b = b × a is referred to as an abelian group, for example, Zn = {0, 1., n-1 } an integer set of n orders under modulo n addition, so Zp referred to in the definition is a p-order integer set under modulo p addition, and this embodiment is not particularly limited.
Example 2
The invention provides a technical scheme that: a vehicle-mounted bidirectional charger testing system and a control method thereof comprise a charger type detection module, a charger charging and discharging control module, a charger parameter acquisition module, a charger data preprocessing module, a charger data storage module, a data modeling module, a data early warning module, a man-machine interaction module and a cloud data access control module, wherein the charger type detection module judges and detects whether the phase number of the vehicle-mounted charger is a single phase or not based on the type of the charger by the man-machine interaction module; the charging and discharging control module of the charger is based on the state control of charging or discharging of the charger; the charger parameter acquisition module is based on a data acquisition and transmission process on the charger charging and discharging control module, and specifically comprises the data acquisition and transmission processes of voltage and current, input end power analysis, ripple and time sequence test and other parameters; the charger data preprocessing module is used for preprocessing data on the charger parameter acquisition module; the charger data storage module stores data in a classified manner; the data modeling module draws the data variable to an optimal value by adopting a regression calculation method; the data early warning module is used for learning a decision boundary through the characteristics of a normal sample, judging whether new data is similar to training data or not through the decision boundary, and judging that the new data is abnormal when the new data exceeds the boundary; the man-machine interaction module is used for inputting, reading, monitoring and judging data manually based on a display terminal based on an abnormal program on the data early warning module; the cloud data access control module is based on data cloud transmission on the charger data storage module and the data modeling module.
A management method of a vehicle-mounted bidirectional charger test system and a control method thereof is specifically as follows:
101. the charger type detection module detects the type of the bidirectional charger by using a detection technology, and the charger charging and discharging control module controls the charging state of the charger;
in this embodiment, a specific description is given of a charger type detection module, since harmonics generated by a motor type detection module accessing an electric power system mainly come from a rectifying device of a charger, harmonics generated by a charger access system composed of different rectifying devices are contrastively analyzed to provide a basis for harmonic control and charger selection of the motor type detection module, a charger harmonic measurement model is designed by using PSCAD software, a simulation model of a three-phase bridge type uncontrolled rectifying charger, a 12-pulse wave rectifying charger, and a pulse width modulation rectifying charger is established, harmonics are measured by using a fast fourier transform method, and data are contrastively analyzed, and the model provides a basis for the motor type detection module to select the charger.
Specifically, a three-phase voltage type PWM rectifier with a rectifying device composed of IGBTs, a simulation topology, a double closed loop control is adopted for PWM control, a current inner loop is used for current control according to a current instruction output by a voltage outer loop, so as to achieve a fast current following performance, a current PI regulator is designed according to a typical I-type system, a voltage outer loop is used for controlling a direct-current side voltage of the three-phase voltage type PWM rectifier, the anti-interference performance of a voltage loop should be considered in an important way, the voltage outer loop PI regulator is designed according to a typical ii-type system, an alternating-current side inductor is 0.005H, a resistor is 0.5 ohm, an alternating-current side capacitor is 2215uF, and a direct-current side voltage is controlled at 700V.
102. The charger parameter acquisition module is used for acquiring data of the charging and discharging state of the charger, preprocessing the acquired data through the charger data preprocessing module and then storing the data in a classified manner through the charger data storage module;
in this embodiment, it is specifically explained that ZKA-4288-RS in the charger parameter acquisition module is an 8-way DI switching value input, 8-way DO switching value output, 4-way high-precision analog value input acquisition, and 2-way high-precision analog value output device controlled by serial port communication, and is mainly used for controlling and reading input and output of switching value signals through serial port communication; collecting analog quantity signals of 0-5V, 0-10V, 0-20ma and 4-20ma through serial port communication; analog quantity signals of 0-5V, 0-10V, 5V-5V, -10V- +10V, 0-20ma and 4-20ma are output through serial port communication control; the method supports dual-computer pairing mutual control, and the input of the local DI/Al is output at the DO/AO of another device; the method supports the active reporting of the IO input state change; the method supports real-time active report of AD acquisition data, and the embodiment is not particularly limited.
103. The data is classified and stored, the data is expressed into a pie chart and a tree chart form through a data modeling module, the characteristics of a normal sample are analyzed through a data early warning module to learn a decision boundary, and whether new data is similar to training data or not is judged through the decision boundary, and the data is considered to be abnormal when the new data exceeds the boundary;
in this embodiment, it is specifically explained that the LOF algorithm in the data early warning module calculates a local density deviation of a given data point with respect to its neighbor, an abnormal score of each sample is called a local abnormal factor, the abnormal score is local and depends on the isolation degree of the sample with respect to the surrounding neighborhood, the locality is given by k neighbors, and the local density is estimated by using the distance, and by comparing the local density of the sample with the local density of its neighbor, samples with a density significantly lower than that of its neighbor are identified, and these samples are regarded as abnormal sample points, and the specific algorithm is as follows:
calculating k-distance of p: calculating the kth distance of the point p, namely the distance of the point k far away from the sample point p, excluding p;
calculating k-distance neighbor of p: calculating the kth neighborhood distance of the point p, namely all points within the kth distance of the point p, including the kth distance;
calculating reach-distance: if the reachable distance is smaller than the kth distance, the reachable distance is the kth distance, and if the reachable distance is larger than the kth distance, the reachable distance is the real distance, and the formula is as follows (the description is that d (p, o) is the distance from p to o): ka TeX parse error: expected ' } ", got ' EOF ' at end of input.. angle (o), d (p, o), the kth achievable distance from point o to point p, at least the kth distance of point o, or the true distance between 0 and p;
calculating local bioavailability intensity: local achievable density, dk (p) = fracl frac1 nk (p) lsumoinnk (p) reach-istancek (p, o), representing the inverse of the average achievable distance of a point to a point p within the kth neighborhood of point p;
calculating local outier factor: local outlier, fk (p) = fracl | nk (p) Σ oinnk (p) fracdrdk (o) lrdk (p) = local outlier
frac∑oinNk（p）lrdk（o）|Nk（p）Icdotfracllrdk（p）。
Specifically, the average of the ratio of the local reachable density of the neighboring point Nk § representing the point p to the local reachable density of the point p is described, which is not particularly limited in this embodiment.
104. When abnormal data occurs, the human-computer interaction module manually inputs, reads, monitors and judges the data on the basis of the display end and then transmits the data to the cloud end through the cloud data access control module;
in this embodiment, it is specifically explained that the cloud data access control module has a quadruple (p, G, GT, e) through bilinear mapping, where p is a large prime number, G and GT are cyclic groups with a prime number p, and the mapping e satisfies the following 3 conditions: GXG → GT, referred to as bilinear map:
bilinear: for ∀ u, v ∈ G, a, b ∈ Zp, there is e (ua, vb) = e (u, v) ab;
non-degradability: ∃ G ∈ G, with e (G, G) being of order p in GT;
calculability: for ∀ u, v ∈ G, e (u, v) can be calculated;
the concrete explanation is the theoretical knowledge of modern cryptography, and mainly explains the concept related to the following groups, namely the cyclic group: the element G exists in G, the generated cyclic subgroup is G itself, the G is called cyclic group, for any element G in G, a cyclic set { G, G2, ·, gk } \ { G, G ^2,. the G ^ k \ G, G2,. the G } (gk = eg ^ k = egk = e) is a subgroup of G, and the cyclic set is called a k-order cyclic subgroup of G; order of the group: the number of elements of the finite group is the order of the group; abelian group: a group satisfying the commutative law a × b = b × a is referred to as an abelian group, for example, Zn = {0, 1., n-1 } modulo n-addition, so Zp referred to in the definition is a p-order integer set modulo p-addition, and this embodiment is not particularly limited.
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 (6)
1. The utility model provides a vehicle-mounted bidirectional charger test system which characterized in that: the vehicle-mounted charger type detection module is used for judging and detecting whether the phase number of the vehicle-mounted charger is single-phase or not based on the type of the charger through the human-computer interaction module, and the charger charging and discharging control module is used for controlling the charging or discharging state of the charger.
2. The vehicle-mounted bidirectional charger test system according to claim 1, characterized in that: the charger parameter acquisition module is based on a data acquisition and transmission process on the charger charging and discharging control module, and specifically comprises a voltage and current, input end power analysis, acquisition of ripple and time sequence test and a data acquisition and transmission process of other parameters, the charger data preprocessing module is based on data on the charger parameter acquisition module to carry out a preprocessing process, and the charger data storage module is used for storing the data in a classified manner.
3. The vehicle-mounted bidirectional charger test system according to claim 1, characterized in that: the data modeling module draws an optimal value for the data variable by adopting a regression calculation method, the data early warning module learns a decision boundary through the characteristics of a normal sample, and then judges whether new data is similar to training data or not through the decision boundary, and the data is considered to be abnormal when the new data exceeds the boundary.
4. The vehicle-mounted bidirectional charger test system according to claim 1, characterized in that: the man-machine interaction module is used for manually inputting, reading, monitoring and judging data based on an abnormal program on the data early warning module and based on a display; the cloud data access control module is based on data cloud transmission on the charger data storage module and the data modeling module.
5. The vehicle-mounted bidirectional charger test system according to claim 3, characterized in that: the harmonic waves generated by the motor type detection module when being connected to an electric power system mainly come from a rectifying device of the charger, so that the harmonic waves generated by the charger connection system formed by different rectifying devices are contrastively analyzed, a basis is provided for harmonic wave treatment and charger selection of the motor type detection module, a charger harmonic wave measurement model is designed by using PSCAD software, a simulation model of a three-phase bridge type uncontrolled rectifying charger, a 12-pulse wave rectifying charger and a pulse width modulation rectifying charger is established, the harmonic waves are measured by using a fast Fourier transform method, and data are contrastively analyzed, and the model provides a basis for the charger selection of the motor type detection module; a three-phase voltage type PWM rectifier is composed of a rectifying device and a simulation topology, double closed-loop control is adopted for PWM control, a current inner loop is used for controlling current according to a current instruction output by a voltage outer loop, fast current following performance is achieved, a current PI regulator is designed according to a typical I type system, a voltage outer loop is used for controlling direct-current side voltage of the three-phase voltage type PWM rectifier, anti-interference performance of a voltage ring is considered emphatically, the voltage outer loop PI regulator is designed according to a typical II type system, alternating-current side inductance is 0.005H, resistance is 0.5 ohm, alternating-current side capacitance is 2215uF, and direct-current side voltage is controlled at 700V.
6. The control method applied to the vehicle-mounted bidirectional charger test system of claim 1 is characterized by comprising the following specific steps of:
the charger type detection module detects the type of the bidirectional charger by using a detection technology, and the charger charging and discharging control module controls the charging state of the charger;
the charger parameter acquisition module is used for acquiring data of the charging and discharging state of the charger, preprocessing the acquired data by the charger data preprocessing module and then storing the data in a classified manner by the charger data storage module;
the data is classified and stored, the data is expressed into a pie chart and a tree chart form through the data modeling module, the characteristics of a normal sample are analyzed through the data early warning module to learn a decision boundary, and whether new data is similar to training data or not is judged through the decision boundary, and the data is considered to be abnormal when the new data exceeds the boundary;
when abnormal data occurs, the human-computer interaction module manually inputs, reads, monitors and judges the data based on the display terminal, and then the data are transmitted to the cloud end through the cloud data access control module.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116660667A (en) * | 2023-07-26 | 2023-08-29 | 山东金科电气股份有限公司 | Transformer abnormality monitoring method and system |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015082787A1 (en) * | 2013-12-03 | 2015-06-11 | Renault S.A.S. | Method and system for controlling a bidirectional charger of a motor vehicle battery |
| CN105048566A (en) * | 2015-08-09 | 2015-11-11 | 安徽普为智能科技有限责任公司 | Intelligent detection method for vehicle-mounted charger |
| US20170320396A1 (en) * | 2016-05-04 | 2017-11-09 | Hyundai Motor Company | Bidirectional powering on-board charger, vehicle power supply sysem including the same, and control method thereof |
| CN107351687A (en) * | 2017-06-28 | 2017-11-17 | 北京新能源汽车股份有限公司 | Two-way vehicle-mounted charger and electric automobile |
| CN108258761A (en) * | 2018-01-26 | 2018-07-06 | 北京新能源汽车股份有限公司 | Charging and discharging control method and electric automobile |
| CN108828365A (en) * | 2018-07-02 | 2018-11-16 | 科世达（上海）管理有限公司 | A kind of test macro and its control method, computer equipment of vehicle-mounted bidirectional charger |
| CN109446189A (en) * | 2018-10-31 | 2019-03-08 | 成都天衡智造科技有限公司 | A kind of technological parameter outlier detection system and method |
| CN210347811U (en) * | 2019-07-02 | 2020-04-17 | 深圳市凌康技术有限公司 | New forms of energy car machine integration test system that charges |
| CN114301069A (en) * | 2022-02-25 | 2022-04-08 | 河南工业贸易职业学院 | Harmonic suppression method for electric vehicle charger |
| CN114441883A (en) * | 2022-01-11 | 2022-05-06 | 中国第一汽车股份有限公司 | A test system and method based on electric vehicle charging |
| CN216485270U (en) * | 2021-05-31 | 2022-05-10 | 威凯检测技术有限公司 | Environment reliability testing device of bidirectional vehicle-mounted charger |
-
2022
- 2022-06-09 CN CN202210645797.5A patent/CN114720809A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015082787A1 (en) * | 2013-12-03 | 2015-06-11 | Renault S.A.S. | Method and system for controlling a bidirectional charger of a motor vehicle battery |
| CN105048566A (en) * | 2015-08-09 | 2015-11-11 | 安徽普为智能科技有限责任公司 | Intelligent detection method for vehicle-mounted charger |
| US20170320396A1 (en) * | 2016-05-04 | 2017-11-09 | Hyundai Motor Company | Bidirectional powering on-board charger, vehicle power supply sysem including the same, and control method thereof |
| CN107351687A (en) * | 2017-06-28 | 2017-11-17 | 北京新能源汽车股份有限公司 | Two-way vehicle-mounted charger and electric automobile |
| CN108258761A (en) * | 2018-01-26 | 2018-07-06 | 北京新能源汽车股份有限公司 | Charging and discharging control method and electric automobile |
| CN108828365A (en) * | 2018-07-02 | 2018-11-16 | 科世达（上海）管理有限公司 | A kind of test macro and its control method, computer equipment of vehicle-mounted bidirectional charger |
| CN109446189A (en) * | 2018-10-31 | 2019-03-08 | 成都天衡智造科技有限公司 | A kind of technological parameter outlier detection system and method |
| CN210347811U (en) * | 2019-07-02 | 2020-04-17 | 深圳市凌康技术有限公司 | New forms of energy car machine integration test system that charges |
| CN216485270U (en) * | 2021-05-31 | 2022-05-10 | 威凯检测技术有限公司 | Environment reliability testing device of bidirectional vehicle-mounted charger |
| CN114441883A (en) * | 2022-01-11 | 2022-05-06 | 中国第一汽车股份有限公司 | A test system and method based on electric vehicle charging |
| CN114301069A (en) * | 2022-02-25 | 2022-04-08 | 河南工业贸易职业学院 | Harmonic suppression method for electric vehicle charger |
Non-Patent Citations (5)
| Title |
|---|
| 佚名: "0-10v,4-20ma,模拟量采集电压电流采集，温湿度采集", 《知乎》 * |
| 佚名: "云数据访问控制基础理论知识总结", 《CSDN》 * |
| 佚名: "异常业务预警算法总结", 《百度文库》 * |
| 佚名: "电压电流采集模块，温度采集模块，称重模块，变送器，adc模数转换模块", 《CSDN》 * |
| 李娜 等: "不同类型电动汽车充电机接入后电力系统的谐波分析", 《电网技术》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116660667A (en) * | 2023-07-26 | 2023-08-29 | 山东金科电气股份有限公司 | Transformer abnormality monitoring method and system |
| CN116660667B (en) * | 2023-07-26 | 2023-10-24 | 山东金科电气股份有限公司 | Transformer abnormality monitoring method and system |
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