CN115728583A - Method and system for detecting charging system state of electric vehicle - Google Patents
Method and system for detecting charging system state of electric vehicle Download PDFInfo
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- CN115728583A CN115728583A CN202211461125.5A CN202211461125A CN115728583A CN 115728583 A CN115728583 A CN 115728583A CN 202211461125 A CN202211461125 A CN 202211461125A CN 115728583 A CN115728583 A CN 115728583A
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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Abstract
The invention provides a method and a system for detecting the state of a charging system of an electric automobile. The method comprises the following steps: a) Acquiring a control variable value and a signal measurement value of a charging system of the electric automobile at the current moment; b) Calculating the predicted system state of the charging system at the current moment according to the control variable value at the current moment and the system state of the charging system at the previous moment, wherein the system state of the charging system at the initial moment is preset; c) Calculating the measurement deviation of the charging system at the current moment according to the signal measurement value at the current moment and the predicted system state at the current moment; and d) calculating the system state of the charging system at the current moment according to the system state at the previous moment, the predicted system state at the current moment and the measured deviation at the current moment. The invention also provides a corresponding system.
Description
Technical Field
The invention relates to the field of electric vehicles, in particular to a method and a system for detecting the state of a charging system of an electric vehicle.
Background
In recent years, with the development of the electric vehicle industry, charging systems for electric vehicles have been widely used. In particular, it is required to quickly determine the system status according to the signal in the charging system of the electric vehicle, so as to quickly respond to the system status change reflected by the signal.
For the above charging system, it is necessary to determine the system status by instantly judging whether various signals reach a specific limit value, and also to avoid erroneous judgment due to noise and interference in the signals. In the prior art, the detection of the system state is realized by performing algorithms such as mean operation, bubble sorting operation or median operation on the ADC sampling value of a signal, or performing hardware rectification on the signal first and then sampling. However, these methods have the problems of long operation process, slow response to signal change, poor interference resistance, poor sensitivity to short signals, etc., which seriously affect the detection accuracy, and the response speed is difficult to meet the increasing user requirements.
Therefore, a new technology with fast response speed, high detection accuracy and strong anti-interference capability is needed to detect the state of the charging system of the electric vehicle.
Disclosure of Invention
The present invention is directed to overcoming the above-mentioned and/or other problems in the art. The method and the system for detecting the state of the charging system of the electric automobile can quickly and accurately detect the signal, and are not easily influenced by interference and signal noise, so that quick response to signal change is realized.
According to a first aspect of the present invention, there is provided a method for detecting a state of a charging system of an electric vehicle, comprising the steps of: a) Acquiring a control variable value and a signal measurement value of a charging system of the electric automobile at the current moment; b) Calculating the predicted system state of the charging system at the current moment according to the control variable value at the current moment and the system state of the charging system at the previous moment, wherein the system state of the charging system at the initial moment is preset; c) Calculating the measurement deviation of the charging system at the current moment according to the signal measurement value at the current moment and the predicted system state at the current moment; and d) calculating the system state of the charging system at the current moment according to the system state at the previous moment, the predicted system state at the current moment and the measured deviation at the current moment.
According to a second aspect of the present invention, there is provided a system for detecting a charging system status of an electric vehicle, the system comprising a sensing unit and a processing unit. The sensing unit is configured to measure a control variable value and a signal measurement value of a charging system of the electric vehicle. The processing unit is configured to: a) Acquiring a control variable value and a signal measurement value of the charging system at the current moment from the sensing unit; b) Calculating the predicted system state of the charging system at the current moment according to the control variable value at the current moment and the system state of the charging system at the previous moment, wherein the system state of the charging system at the initial moment is preset; c) Calculating the measurement deviation of the charging system at the current moment according to the signal measurement value at the current moment and the predicted system state at the current moment; and d) calculating the system state of the charging system at the current moment according to the system state at the previous moment, the predicted system state at the current moment and the measured deviation at the current moment.
The above-described detection method and detection system of the present invention use both the signal itself (i.e., the signal measurement value) and various disturbance factors (i.e., the control variable values) in the charging system, which fully takes into account the influence of the various disturbance factors on the system state. In addition, the system state at the current moment is predicted and calculated by utilizing the system state at the previous moment, and the detection method and the detection system adopt an autoregressive algorithm to ensure the quick convergence of the detection result, so that the response speed and the accuracy of detection are greatly improved.
Preferably, in the detection method and the detection system of the present invention, the relationship of the control variable value to the predicted system state at the present time may be set according to the configuration of the charging system. In this way, the influence of the system state of the charging system can be correlated with the control variable value as the disturbance factor.
Preferably, the above a) to d) may be repeatedly and cyclically performed.
The signal measurement may be a measurement of a control pilot function signal (CP signal). The sensing unit may include a peak-responsive vehicle-end circuit for acquiring the CP signal. The CP signal may be used to monitor the interaction function between the electric vehicle and its charging system, and thus the state of the charging system may be detected according to the CP signal.
The signal measurement may also be a measurement of a leakage current signal. The sensing unit may include a transformer and an operational amplifier for acquiring the leakage current signal. The leakage current signal can be used for judging whether the charging system is in a leakage state or not.
According to a third aspect of the present invention, there is also provided a computer readable storage medium having stored thereon instructions which, when executed, implement the detection method according to the present invention as described above.
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The invention may be better understood by describing exemplary embodiments thereof in conjunction with the following drawings, in which:
fig. 1 shows a flow chart of a method for detecting a charging system status of an electric vehicle according to the invention; and
fig. 2 shows a block diagram of a system for detecting the state of a charging system of an electric vehicle according to the invention.
Detailed Description
The present application will be further described in conjunction with the following specific embodiments and accompanying drawings, wherein the following description sets forth more details for a thorough understanding of the present application, but it is apparent that the present application can be embodied in many other forms different from those described herein, and those skilled in the art can make similar generalizations and deductions based on the actual application without departing from the spirit of the present application, and therefore the scope of the present application should not be limited by the contents of this specific embodiment.
Unless otherwise defined, technical or scientific terms used in the claims and the specification should have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. The use of "first," "second," and similar terms in the description and claims of this application do not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. The terms "a" or "an," and the like, do not denote a limitation of quantity, but rather denote the presence of at least one. The word "comprise" or "comprises", and the like, means that the element or item listed before "comprises" or "comprising" covers the element or item listed after "comprising" or "comprises" and its equivalent, and does not exclude other elements or items.
According to an embodiment of the present invention, a method for detecting a state of a charging system of an electric vehicle is provided.
Referring to FIG. 1, a method 100 for detecting a state of a charging system of an electric vehicle in accordance with the present invention is shown. The method 100 may include steps 110 through 140.
As shown in fig. 1, in step 110, a control variable value C and a signal measurement value Z of a charging system of an electric vehicle at a current time t are obtained. The signal measurement value C is a measurement value of a signal directly related to the system state of the charging system, and the control variable value Z is a measurement value of a control variable (i.e., a disturbance factor) having an influence on the system state of the charging system. In an embodiment, the measured value of the signal Z or the control variable C sampled in each time range may be averaged in units of a certain time range, and the result may be used as one measured value of the signal Z or the control variable C.
In step 120, a predicted system state P (t) of the charging system at a current time t is calculated based on the control variable value C (t) at the current time t and the system state X (t-1) of the charging system at a previous time (t-1). The system state at the initial time may be set in advance according to the configuration of the charging system. The control variable C may come from various disturbance factors in the charging system that may have an effect on the system state.
In step 130, a measurement deviation J (t) of the charging system at the current time t is calculated from the signal measurement value Z (t) at the current time t and the predicted system state P (t) at the current time t. The measurement bias is used to reflect the bias in the signal measurement process.
In step 140, the system state X (t) of the charging system at the current time t is calculated according to the system state X (t-1) at the previous time (t-1), the predicted system state P (t) at the current time t, and the measured deviation J (t) at the current time t. Thus, an autoregressive algorithm is formed for determining the system state X (t) at the current time t.
According to the detection method, when the system state P (t) of the current time t is predicted, the influence of various interference factors (such as environment temperature, charging current and the like) on the system state is compensated by introducing the control variable value C (t), so that misjudgment caused by deviation in the measurement process is avoided, and the detection accuracy is improved; meanwhile, the deviation between the actual signal measurement value Z (t) and the predicted system state P (t) at the current time t is used for compensating the deviation generated in the signal measurement process (for example, due to noise and the like), so that the detection anti-jamming capability is further improved. The autoregressive algorithm in the detection method is combined with the system state X (t-1) at the last time (t-1) to calculate the system state X (t) at the current time t, so that the calculation has good convergence, and therefore the system state X (t) at the current time t can be quickly obtained from the measured values C (t) and Z (t) at the current time t, namely, the quick response to the signal change is realized.
According to an embodiment of the present invention, the above steps 110 to 140 may be repeatedly and circularly performed, as shown by a dotted line in fig. 1. It is also possible to set an execution period (e.g., 5 ms) as needed, that is, to use the measurement value within every 5 ms as a measurement value (as described in step 110), and execute steps 110 to 140 to obtain the system state X (t) at the current time t, so that the system state X (t) at the current time t can be known in time as needed.
Alternatively, the relationship of the control variable value C to the predicted system state P (t) at the current time t may be set according to the configuration of the charging system before step 110 is performed.
As described above, the control variable C may be various disturbance factors from the charging system. For example, during the operation of the charging system, the temperature of the system may rise due to the heat generated by the system, or the heat dissipation characteristics of the system may be affected due to the environmental temperature changes, and these temperature changes may further affect the measured signal value Z according to a certain rule, and further may affect the determination of the system state X (t) according to the signal value Z. For another example, in a charging operation of a charging system, system characteristics may be changed accordingly due to a large current at the time of charging. Thus, for any given charging system configuration, the corresponding control variables C (such as system temperature, ambient temperature, charging current, etc., as described above) may be pre-selected and a model Y (e.g., an empirical model) of each control variable C and its effect on the system state may be constructed. For example, the model Y may be in the form of a look-up table, where the data in the table are the optimal calibration values obtained from actual testing.
In an embodiment, in executing step 120, the control variable value C (t) at the current time t may be substituted into the model Y corresponding thereto (e.g., by table lookup) to obtain an influence value Y (C (t)) of the control variable value C (t) at the current time t on the predicted system state P (t) at the current time t, so as to reflect the influence of the control variable in the predicted system state P (t).
An example of a method according to the invention for detecting the state of a charging system of an electric vehicle is listed below, in which the control variable value C and the signal measured value Z are sampled at a sampling frequency of 1kHz and the system state is detected as a set of data with the sampled values every 5 milliseconds, i.e. at 5 millisecond intervals.
For the current time t, the control variable value is C (t). The predicted system state P (t) at time t may be calculated according to equation (1):
p (t) = aY (C (t)) + bB + cX (t-1); formula (1)
Where Y (C (t)) is an influence value obtained by substituting the control variable value C (t) at time t into the corresponding model (e.g., by table lookup), B is a deviation constant introduced during calculation, X (t-1) is the system state at time (t-1) (i.e., the last time), a, B, and C are set parameters, and where B may be proportional to C after calibration according to the configuration of the charging system.
Then, the measurement deviation J (t) at time t can be calculated according to equation (2):
j (t) = (1/n) Z (t) - (m/n) P (t); formula (2)
Wherein Z (t) is a signal measurement value at the moment t, m is a parameter of the measurement system, and n is a parameter which is in a proportional relation with m after calibration according to the configuration of the charging system.
Next, the system state X (t) at time t can be calculated according to equation (3):
x (t) = P (t) + kJ (t); formula (3)
Where k represents the percent adoption of the measured deviation. For example, the k value may be calculated by performing a covariance operation on P (t) and X (t-1): k = Cov (P (t), X (t-1))/(Cov (P (t), X (t-1)) + J (t)). The time required for the covariance operation at time t can be reduced by using the process value stored in the covariance operation at time (t-1), thereby obtaining the k value quickly.
And finally, substituting the k value into the formula (3) to obtain the system state X (t) at the moment t.
In one embodiment, the signal measurement Z may be, for example, a measurement of a control pilot function signal (CP signal). The CP signal is a handshake signal between the electric vehicle and the charging system of the electric vehicle, and may be used to monitor an interaction function between the electric vehicle and the charging system of the electric vehicle, so that a state of the charging system may be detected according to the CP signal. When the CP signal is used as a signal measurement value, the problems of gun insertion identification faults, abnormal charging interruption and the like of the charging system can be avoided. In an embodiment, the CP signal may be acquired using a peak-responsive vehicle-side circuit.
In another embodiment, the signal measurement Z may also be a measurement of a leakage current signal, for example. In a charging system, current leakage may be caused by insulation damage or other reasons, and when the leakage current reaches a certain value, the system is considered to have a leakage state, and at this time, a leakage response needs to be triggered immediately. When the leakage current signal is used as a signal measurement value, the leakage state of the system can be quickly and accurately detected, so that the leakage response is timely triggered, and meanwhile, the false triggering is avoided. In an embodiment, a transformer and an operational amplifier may be used to obtain the leakage current signal.
Further, the above-described detection method according to the present invention may be implemented by executing computer instructions by a processor, which may be stored in a computer-readable storage medium. The computer-readable storage medium may include a hard disk drive, a floppy disk drive, a compact disk read/write (CD-R/W) drive, a Digital Versatile Disk (DVD) drive, a flash memory drive, and/or a solid state storage device, among others.
According to an embodiment of the present invention, there is also provided a system 200 for detecting a charging system state of an electric vehicle, as shown in fig. 2, the system 200 includes a sensing unit 210 and a processing unit 220.
The sensing unit 210 may be configured to measure a control variable value C and a signal measurement value Z of a charging system of the electric vehicle.
The processing unit 220 may be configured to: a) Acquiring a control variable value C (t) and a signal measurement value Z (t) of the charging system at the current time t from a sensing unit 210; b) Calculating a predicted system state P (t) of the charging system at the current time t according to the control variable value C (t) at the current time t and a system state X (t-1) of the charging system at the last time (t-1), wherein the system state X (0) of the charging system at the initial time is preset; c) Calculating a measurement deviation J (t) of the charging system at the current time t according to the signal measurement value Z (t) at the current time t and the predicted system state P (t) at the current time t; and d) calculating the system state X (t) of the charging system at the current time t according to the system state X (t-1) at the last time (t-1), the predicted system state P (t) at the current time t and the measured deviation J (t) at the current time t.
According to an embodiment of the invention, the processing unit 220 may be configured to repeatedly execute a) to d) in a loop.
Alternatively, the relationship of the control variable value C to the predicted system state P (t) at the current time t may be set according to the configuration of the charging system.
In one embodiment, the signal measurement Z may be a measurement of a CP signal, for example. The sensing unit 210 may include a peak-responsive vehicle-end circuit for acquiring the CP signal.
In another embodiment, the signal measurement Z may also be a measurement of a leakage current signal, for example. The sensing unit 210 may include a transformer and an operational amplifier for acquiring the leakage current signal.
The above-described detection system 200 may implement the method for detecting the state of the charging system of the electric vehicle according to the present invention as described above. Many design concepts and details applicable to the detection method of the present invention are also applicable to the system 200, and can obtain the same beneficial technical effects, which are not described herein again.
Various aspects of the present invention have been described above with reference to some exemplary embodiments. Nevertheless, it will be understood that various modifications to the exemplary embodiments described above may be made without departing from the spirit and scope of the invention. For example, if the described techniques are performed in a different order and/or if components in a described system, architecture, device, or circuit are combined in a different manner and/or replaced or supplemented by additional components or their equivalents, then these modified other implementations are accordingly intended to fall within the scope of the claims.
Claims (13)
1. A method for detecting a state of a charging system of an electric vehicle, comprising the steps of:
a) Acquiring a control variable value and a signal measurement value of a charging system of the electric automobile at the current moment;
b) Calculating the predicted system state of the charging system at the current moment according to the control variable value at the current moment and the system state of the charging system at the previous moment, wherein the system state of the charging system at the initial moment is preset;
c) Calculating the measurement deviation of the charging system at the current moment according to the signal measurement value at the current moment and the predicted system state at the current moment; and
d) And calculating the system state of the charging system at the current moment according to the system state at the previous moment, the predicted system state at the current moment and the measurement deviation at the current moment.
2. The method of claim 1, wherein the method further comprises, prior to performing step a): and setting the relation of the control variable value to the prediction system state at the current moment according to the configuration of the charging system.
3. The method of claim 1, wherein steps a) through d) are performed in a repeated loop.
4. A method according to any of claims 1-3, wherein the signal measurements are measurements of CP signals.
5. The method of claim 4, wherein the CP signal is acquired using a peak-responsive vehicle-end circuit.
6. The method of any of claims 1-3, wherein the signal measurement is a measurement of a leakage current signal.
7. The method of claim 6, wherein the leakage current signal is obtained using a transformer and an operational amplifier.
8. A system for detecting a charging system status of an electric vehicle, comprising:
a sensing unit configured to measure a control variable value and a signal measurement value of a charging system of the electric vehicle;
a processing unit configured to:
a) Acquiring a control variable value and a signal measurement value of the charging system at the current moment from the sensing unit;
b) Calculating the predicted system state of the charging system at the current moment according to the control variable value at the current moment and the system state of the charging system at the previous moment, wherein the system state of the charging system at the initial moment is preset;
c) Calculating the measurement deviation of the charging system at the current moment according to the signal measurement value at the current moment and the predicted system state at the current moment; and
d) And calculating the system state of the charging system at the current moment according to the system state at the previous moment, the predicted system state at the current moment and the measurement deviation at the current moment.
9. The system of claim 8, wherein the relationship of the control variable value to the predicted system state at the current time is set according to a configuration of the charging system.
10. The system of claim 8, wherein the processing unit is configured to execute the a) through d) in a repetitive loop.
11. The system of any of claims 8-10, wherein the signal measurements are measurements of CP signals,
the sensing unit comprises a wave crest response vehicle-end circuit and is used for acquiring the CP signal.
12. The system of any of claims 8-10, wherein the signal measurement is a measurement of a leakage current signal,
the sensing unit comprises a mutual inductor and an operational amplifier and is used for acquiring the leakage current signal.
13. A computer readable storage medium having stored thereon instructions which, when executed, implement the method of any one of claims 1 to 7.
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| CN202211461125.5A CN115728583A (en) | 2022-11-16 | 2022-11-16 | Method and system for detecting charging system state of electric vehicle |
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| CN202211461125.5A CN115728583A (en) | 2022-11-16 | 2022-11-16 | Method and system for detecting charging system state of electric vehicle |
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