Part information control device and method for new energy vehicle

Abstract

A component information control device and method for a new energy vehicle belongs to the technical field of component information of the new energy vehicle, and the method comprises the steps: obtaining a plurality of target similar subspaces according to the action factor of each similar subspace on each pressure value fitting line on the over-gauge probability; the similar subspace on the first pressure value fitting line is defined as a reference similar subspace; constructing a target similar subspace cluster corresponding to each reference similar subspace; according to the probability that the electric air compressors in the subspaces with the same purposes on the last pressure value fitting line are not in the high-load operation condition, the action factors on the over-gauge probability and the number of the subspaces with the same purposes, the over-gauge probability value generated during operation of the electric air compressors of the new energy vehicle at present is obtained; whether the electric air compressor of the new energy vehicle is out-of-gauge or not at present can be accurately determined, and the high efficiency and accuracy of determining the out-of-gauge of the electric air compressor by collecting the pressure in the air outlet pipeline are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of component information of new energy vehicles, and in particular relates to a component information control device and method for new energy vehicles. Background Art

[0002] New energy vehicles refer to vehicles that use unconventional automotive fuels as their power source (or use conventional automotive fuels and adopt new on-board power devices), and integrate advanced technologies in vehicle power control and drive to form vehicles with advanced technical principles, new technologies, and new structures.

[0003] For new energy vehicles, the current technology of electric air compressor performance detection and control technology for new energy vehicles is often used, such as the existing technical solution with patent publication number "CN210623058U", which includes a display screen and a pressure sensor connected to the PLC. The pressure sensor is used to collect the pressure value in the outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmit it to the PLC. The PLC is used to store the collected pressure value in the outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmit the pressure value to the display screen for display, so as to achieve performance detection and control of the electric air compressor for new energy vehicles.

[0004] With the advancement of technology, the key to determining the out-of-specification situation of electric air compressors is to define the pressure out-of-specification value and determine that the electric air compressor condition of new energy vehicles is out of specification; however, this type of identification method often leads to lack of timeliness or misjudgment. Summary of the invention

[0005] In order to solve the defects in the prior art, the present invention proposes a component information control device and method for new energy vehicles, which obtains multiple target similar subspaces according to the effect factors of each similar subspace on the pressure value fitting line on the probability of exceeding the standard; defines the similar subspace on the first pressure value fitting line as a reference similar subspace; constructs a target similar subspace cluster corresponding to each reference similar subspace; obtains the last 1 according to the effect factors and time intervals of the target similar subspace in the target similar subspace cluster corresponding to each reference similar subspace on the probability of exceeding the standard. The probability that the electric air compressor in each similar subspace on the pressure value fitting line is not in a high-load operating state; based on the probability that the electric air compressor in each similar subspace on the last pressure value fitting line is not in a high-load operating state, the influencing factors on the probability of exceeding the standard and the number of similar subspaces, the probability value of the electric air compressor of the current new energy vehicle exceeding the standard is obtained, which can accurately determine whether the electric air compressor of the current new energy vehicle exceeds the standard, and improve the efficiency and accuracy of collecting the pressure in the outlet pipeline to determine the electric air compressor exceeding the standard.

[0006] The present invention uses the following technical solutions.

[0007] A component information control method for a new energy vehicle, comprising:

[0008] The pressure sensor collects the pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmits it to the PLC. The PLC stores the collected pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmits the pressure value to the display screen for display;

[0009] After the PLC collects the pressure value in the outlet pipe connected to the outlet of the electric air compressor of the new energy vehicle, it also includes:

[0010] Step 1, PLC obtains the pressure value fitting line of the pressure value collected and transmitted by the pressure sensor for multiple times;

[0011] Step 2, cut each pressure value fitting line into multiple similar subspaces; according to the corresponding pressure value and derivative of each numerical point on each pressure value fitting line, obtain the effect factor of each similar subspace on each pressure value fitting line on the probability of exceeding the standard;

[0012] Step 3, according to the effect factors of each similar subspace on the pressure value fitting line on the probability of exceeding the standard, multiple target similar subspaces are obtained; the similar subspace on the first pressure value fitting line is defined as the benchmark similar subspace; the target similar subspace cluster corresponding to each benchmark similar subspace is constructed; according to the effect factors and time intervals of the target similar subspace in the target similar subspace cluster corresponding to each benchmark similar subspace on the probability of exceeding the standard, the probability that the electric air compressor of each target similar subspace on the last pressure value fitting line is not in the high-load operation state is obtained;

[0013] Step 4, according to the probability of the electric air compressor in each target similar subspace on the fitting line of the last pressure value not being in the high-load operation state, the factor affecting the probability of exceeding the standard and the number of target similar subspaces, the probability value of the electric air compressor of the current new energy vehicle exceeding the standard is obtained;

[0014] Step 5, based on the probability value of the electric air compressor of the current new energy vehicle exceeding the specification during operation, determine whether the electric air compressor is currently exceeding the specification.

[0015] Furthermore, in Step 1, a pressure sensor is used to collect the pressure value in the outlet pipe connected to the outlet of the electric air compressor of the new energy vehicle, and a pressure value is collected once every 1s. A plurality of pressure value fitting lines are obtained by using the least squares method on a rectangular coordinate system based on the pressure values ​​collected in each defined timing period. The pressure values ​​collected at a certain timing period form a pressure value fitting line. The value of the pressure value fitting line on the X-axis on the rectangular coordinate system is the collection time point of the pressure value, and the value of the pressure value fitting line on the Y-axis on the rectangular coordinate system is the collected pressure value.

[0016] Furthermore, in Step 1, the length of each timing cycle is 60 minutes.

[0017] Furthermore, in Step 2, the derivative method is used to perform extrapolation on the fitting lines of each pressure value to obtain a pressure value queue of a maximum point, and the change extrapolation is performed on the pressure value queue of the maximum point to obtain a variation queue, and the last maximum point among all the maximum points corresponding to each value in the variation queue that is not less than the pre-defined value U is defined as the cutting boundary point, and all the cutting boundary points are used to cut the fitting lines of each pressure value into multiple similar subspaces.

[0018] Furthermore, in Step 2, a method for performing change calculation on the pressure value queue of the maximum value point to obtain a change amount queue includes:

[0019] The pressure value queue of the maximum point is {b0, b1, b2, ...........}, and the inner b n It is the nth value in the pressure value queue of the maximum point, where n is an integer not less than zero;

[0020] According to this change, the nth element c in the queue n =b n +3*(b n+1 -b n+2 )+b n+3 .

[0021] Furthermore, in Step 2, the equation for calculating the amplitude of the effect of the j-th value point on the z-th pressure value fitting line on the probability of exceeding the specification is:

[0022]

[0023] In the equation, R z,j represents the amplitude of the effect of the j-th value point on the z-th pressure value fitting line on the probability of exceeding the standard; n z，j Represents the pressure value corresponding to the j-th numerical point on the z-th pressure value fitting line; Represents the mean of the corresponding pressure values ​​of all numerical points on the z-th pressure value fitting line; l z，j represents the derivative corresponding to the jth value point on the zth pressure value fitting line; zg(l z ) represents the highest value of the corresponding derivative of all numerical points on the z-th pressure value fitting line.

[0024] Furthermore, in Step 2, the calculation equation for the effect factor of the kth similar subspace on the zth pressure value fitting line on the supernormal probability is:

[0025]

[0026] In the equation, X z,k represents the effect factor of the kth similar subspace on the zth pressure value fitting line on the probability of exceeding the standard; R z,k,t represents the amplitude of the effect of the t-th value point in the k-th similar subspace on the z-th pressure value fitting line on the probability of exceeding the standard; p z，k Represents the number of all numerical points in the kth similar subspace on the zth pressure value fitting line; The Z-score method is used to Perform standardized operations.

[0027] Furthermore, in Step 3, the previously defined critical quantity T is When the effect factor of the kth similar subspace on the zth pressure value fitting line on the probability of exceeding the standard is higher than the predefined critical value T, it is defined as the target similar subspace;

[0028] In Step 3, the time distance from the first time point on each pressure value fitting line to a numerical point in each target similar subspace is defined as the site parameter of each target similar subspace;

[0029] In all secondary pressure value fitting lines, the target similarity subspace on the first pressure value fitting line is defined as the reference similarity subspace, and the target similarity subspace corresponding to the minimum modulus of the quantity obtained by subtracting the site parameters of all target similarity subspaces in all non-first pressure value fitting lines from each reference similarity subspace is defined as the key similarity subspace, and each reference similarity subspace and all key similarity subspaces form a target similarity subspace cluster corresponding to each reference similarity subspace;

[0030] The time interval between the first time point and the last time point in each key similar subspace is defined as the duration of each key similar subspace;

[0031] The calculation equation for the probability value of the target similar subspace cluster corresponding to the qth reference similar subspace is the high-load operation period of each timing cycle of the electric air compressor:

[0032]

[0033] In the equation, F q The probability value of the target similar subspace cluster corresponding to the qth reference similar subspace is the high-load operation period of each timing cycle of the electric air compressor; ε u represents the standard deviation of the duration of all key similar subspaces in the target similar subspace cluster corresponding to the qth reference similar subspace; u q，irepresents the time distance between the first time point of the i-th key similar subspace and the q-th reference similar subspace in the target similar subspace cluster corresponding to the q-th reference similar subspace; p q，L represents the number of all key similar subspaces in the target similar subspace cluster corresponding to the qth reference similar subspace; X q，l Represents the effect factor of the lth target similarity subspace in the target similarity subspace cluster corresponding to the qth reference similarity subspace on the probability of exceeding the standard; represents the average of the effect factors of all target similar subspaces in the target similar subspace cluster corresponding to the qth reference similar subspace on the probability of exceeding the standard; p q，I Represents the number of all target identical subspaces in the target identical subspace cluster corresponding to the qth reference identical subspace; To use the Z-score method Perform standardized operations.

[0034] Furthermore, in Step 3, the reference similarity subspace corresponding to the target similarity subspace cluster where the bth target similarity subspace on the last pressure value fitting line is located is defined as the main reference similarity subspace;

[0035] If the target similar subspace on the last pressure value fitting line is not located in the target similar subspace cluster, the analysis will not be performed;

[0036] The calculation equation for the probability that the electric air compressor in the b-th similar subspace on the last pressure value fitting line is not in a high-load operation state is:

[0037]

[0038] Within the equation, Q b represents the probability that the electric air compressor in the bth similar subspace on the fitting line of the last pressure value is not in the high-load operation state; X b Represents the effect factor of the bth target similar subspace on the fitting line of the last pressure value on the probability of exceeding the standard; F represents the probability value that the target similar subspace cluster corresponding to the main benchmark similar subspace is the high-load operation period of each timing cycle of the electric air compressor; F' represents the probability value that the target similar subspace refresh cluster corresponding to the main benchmark similar subspace is the high-load operation period of each timing cycle of the electric air compressor.

[0039] Furthermore, in Step 4, the calculation equation for the probability value of the electric air compressor of the current new energy vehicle producing an over-specification operation is:

[0040]

[0041] In the equation, S represents the probability value of the electric air compressor of the current new energy vehicle exceeding the specification; X lis the effect factor of the lth target similar subspace on the last pressure value fitting line on the probability of exceeding the standard; zg{X} represents the highest value among the effect factors of all target similar subspaces on the last pressure value fitting line on the probability of exceeding the standard; L represents the number of all target similar subspaces on the last pressure value fitting line; P represents the frequency of all acquisitions; p l,l+1 ′ represents the modulus of the quantity obtained by subtracting the number of identical subspaces on the lth pressure value fitting line from the l+1th pressure value; Represents the mean of the modulus of the quantity obtained by subtracting the number of identical subspaces on the fitting line of all two adjacent pressure values; Q l Represents the probability that the electric air compressor in the first target similar subspace on the fitting line of the last pressure value is not in the high-load operation state;

[0042] To use the Z-score method Perform standardized operations.

[0043] Furthermore, in Step 5, if the probability value of the electric air compressor of the current new energy vehicle exceeding the specification is higher than the pre-defined value U, it is determined that the electric air compressor is currently exceeding the specification; when the electric air compressor exceeds the specification, the PLC sends an exceeding specification message to the display screen for display.

[0044] A component information control device for a new energy vehicle, comprising:

[0045] A display screen and a pressure sensor connected to the PLC, the pressure sensor is used to collect the pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmit it to the PLC, the PLC is used to store the collected pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmit the pressure value to the display screen for display;

[0046] The modules running on the PLC include:

[0047] A fitting module, which is used by the PLC to obtain a pressure value fitting line of the pressure values ​​collected and transmitted by the pressure sensor for multiple times;

[0048] An action module is used to cut each pressure value fitting line into multiple similar subspaces; according to the corresponding pressure value and derivative of each numerical point on each pressure value fitting line, the action factor of each similar subspace on each pressure value fitting line on the probability of exceeding the standard is obtained;

[0049] A construction module is used to obtain multiple target similar subspaces according to the effect factors of each similar subspace on the probability of exceeding the specification on each pressure value fitting line; define the similar subspace on the first pressure value fitting line as a reference similar subspace; construct a target similar subspace cluster corresponding to each reference similar subspace; obtain the probability that the electric air compressor of each target similar subspace on the last pressure value fitting line is not in a high-load operation state according to the effect factors and time intervals of the target similar subspace in the target similar subspace cluster corresponding to each reference similar subspace on the probability of exceeding the specification;

[0050] The over-scale block is used to obtain the probability value of the electric air compressor of the current new energy vehicle exceeding the standard according to the probability that the electric air compressor of each target similar subspace on the fitting line of the last pressure value is not in the high-load operation state, the factor affecting the over-standard probability and the number of target similar subspaces;

[0051] The determination module is used to determine whether the electric air compressor is currently exceeding the specification based on the probability value of the electric air compressor of the current new energy vehicle exceeding the specification.

[0052] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0053] By collecting the pressure in the outlet pipe, the out-of-specification situation of the electric air compressor during operation is intelligently analyzed, which saves time and labor, and enables the out-of-specification situation of the electric air compressor to be efficiently detected. According to the effect factor of each similar subspace on the fitting line of each pressure value on the probability of out-of-specification, multiple target similar subspaces are obtained; the similar subspace on the first pressure value fitting line is defined as a reference similar subspace; the target similar subspace cluster corresponding to each reference similar subspace is constructed; according to the effect of the target similar subspace in the target similar subspace cluster corresponding to each reference similar subspace on the probability of out-of-specification, the target similar subspace is analyzed. The probability that the electric air compressor of each similar subspace on the fitting line of the last pressure value is not in a high-load operation state is obtained by factor and time interval; according to the probability that the electric air compressor of each similar subspace on the fitting line of the last pressure value is not in a high-load operation state, the influencing factor on the probability of exceeding the specification and the number of similar subspaces of the target, the probability value of the electric air compressor of the current new energy vehicle exceeding the specification is obtained, which can accurately determine whether the electric air compressor of the current new energy vehicle exceeds the specification, and improve the efficiency and accuracy of collecting the pressure in the outlet pipeline to determine the electric air compressor exceeding the specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 is a flow chart of a component information control method for a new energy vehicle according to the present invention;

[0055] Figure 2 It is a partial structural diagram of the component information control device for new energy vehicles described in the present invention. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will be combined with the drawings in the embodiments of the present invention to clearly and completely express the technical solution of the present invention. The embodiments expressed in this application are only some embodiments of the present invention, not all embodiments. According to the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0057] like Figure 1 As shown, a component information control method for a new energy vehicle according to the present invention includes:

[0058] The pressure sensor collects the pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmits it to the PLC. The PLC stores the collected pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmits the pressure value to the display screen for display, thereby achieving performance detection and control of the electric air compressor for the new energy vehicle;

[0059] After the PLC collects the pressure value in the outlet pipe connected to the outlet of the electric air compressor of the new energy vehicle, it also includes:

[0060] Step 1, PLC obtains the pressure value fitting line of the pressure value collected and transmitted by the pressure sensor for multiple times;

[0061] In a preferred but non-restrictive embodiment of the present invention, in Step 1, a pressure sensor is used to collect the pressure value in the outlet pipe connected to the outlet of the electric air compressor of the new energy vehicle, and a pressure value is collected once every 1s. Based on the pressure values ​​collected in each defined timing period, a plurality of pressure value fitting lines are obtained by using the least squares method in a rectangular coordinate system. The pressure values ​​collected in a certain timing period form a pressure value fitting line. The value of the pressure value fitting line on the X-axis in the rectangular coordinate system is the collection time point of the pressure value, and the value of the pressure value fitting line on the Y-axis in the rectangular coordinate system is the collected pressure value.

[0062] When the electric air compressor of the new energy vehicle exceeds the specification, the PLC transmits an out-of-specification message to the display screen, and obtains the real-time pressure value of the electric air compressor through the pressure sensor (the real-time pressure value of the electric air compressor is the real-time pressure value in the outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle, and the pressure value of the electric air compressor is the pressure value in the outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle) and the corresponding time point of collecting the pressure value.

[0063] In a preferred but non-limiting embodiment of the present invention, in Step 1, the length of each timing cycle is 60 minutes.

[0064] Step 2, cut each pressure value fitting line into multiple similar subspaces along the X-axis; according to the corresponding pressure value and derivative of each numerical point on each pressure value fitting line, obtain the effect factor of each similar subspace on each pressure value fitting line on the probability of exceeding the standard;

[0065] In a preferred but non-restrictive embodiment of the present invention, in Step 2, the derivative method is used to perform calculations on each pressure value fitting line to obtain a pressure value queue of a maximum point (the queue arranges the pressure values ​​according to the order of the pressure value collection time points), and the pressure value queue of the maximum point is subjected to change calculation to obtain a change amount queue. The last maximum point in all the maximum points corresponding to each value in the change amount queue that is not less than the pre-defined value U is defined as a cutting boundary point, and all the cutting boundary points are used to cut each pressure value fitting line along the X-axis of the rectangular coordinate system into multiple identical subspaces. The pre-defined value U here is

[0066] In a preferred but non-limiting embodiment of the present invention, in Step 2, the method of performing change calculation on the pressure value queue of the maximum value point to obtain a change amount queue includes:

[0067] The pressure value queue of the maximum point is {b0, b1, b2, ...........}, and the inner b n It is the nth value in the pressure value queue of the maximum point, where n is an integer not less than zero;

[0068] According to this change, the nth element c in the queue n =b n +3*(b n+1 -b n+2 )+b n+3 .

[0069] When the pressure in the outlet pipe is too high, the electric air compressor of the new energy vehicle is often in an over-standard state, and corresponding maintenance should be performed immediately. Therefore, the pressure value in the outlet pipe at this time corresponds to the pressure value at another time point for selection. When the outlet pressure of the outlet pipe increases effectively, the electric air compressor of the new energy vehicle is more likely to be in an over-standard state under the influence of its own factors and external factors. Therefore, the selection can be performed by taking the derivative of the pressure fitting line at the numerical point of the electric air compressor of the new energy vehicle at this time.

[0070] In a preferred but non-limiting embodiment of the present invention, in Step 2, the calculation equation for the amplitude of the effect of the j-th value point on the z-th pressure value fitting line on the out-of-specification probability is:

[0071]

[0072] In the equation, R z,j represents the amplitude of the effect of the j-th value point on the z-th pressure value fitting line on the probability of exceeding the standard; n z，j Represents the pressure value corresponding to the j-th numerical point on the z-th pressure value fitting line; Represents the mean of the corresponding pressure values ​​of all numerical points on the z-th pressure value fitting line; l z，j represents the derivative corresponding to the jth value point on the zth pressure value fitting line; zg(l z ) represents the highest value of the corresponding derivative of all numerical points on the z-th pressure value fitting line.

[0073] And in Or zg(l z ) is zero, let Or zg(l z ) is one.

[0074] and Yes z，j and zg(l z ) value. The closer the quotient is to 1, the faster the pressure increases, and the higher the probability that the electric air compressor of the new energy vehicle exceeds the specification.

[0075] Therefore, the amplitude of the effect of each numerical point on the fitting line of each pressure value on the probability of exceeding the specification is obtained.

[0076] Because the electric air compressor is subject to external factors or its own changes, the pressure value fitting line of the pressure in the outlet pipe will have significant fluctuations in amplitude. Therefore, the condition of the electric air compressor is closely related to the fluctuations in the fitting line space, and the selection is made according to the characteristics of the space at this point in time.

[0077] In a preferred but non-limiting embodiment of the present invention, in Step 2, the calculation equation for the effect factor of the k-th similar subspace on the z-th pressure value fitting line on the probability of exceeding the standard is:

[0078]

[0079] In the equation, X z,k represents the effect factor of the kth similar subspace on the zth pressure value fitting line on the probability of exceeding the standard; R z,k,t represents the amplitude of the effect of the t-th value point in the k-th similar subspace on the z-th pressure value fitting line on the probability of exceeding the standard; p z，k Represents the number of all numerical points in the kth similar subspace on the zth pressure value fitting line; The Z-score method is used to Perform standardized operations.

[0080] and Represents the total amount of the effect of the t-th value point in the k-th similar subspace on the z-th pressure value fitting line on the probability of exceeding the standard. The higher the total amount, the higher the probability of exceeding the standard. It represents the average of the amplitude of the effect of the t-th numerical point in the k-th similar subspace on the z-th pressure value fitting line on the probability of exceeding the standard. The higher the value, the higher the probability of exceeding the standard.

[0081] Therefore, the effect factor of each similar subspace on the fitting line of each pressure value on the probability of exceeding the standard is obtained.

[0082] Step 3, according to the effect factors of each similar subspace on the pressure value fitting line on the probability of exceeding the standard, multiple target similar subspaces are obtained; the similar subspace on the first pressure value fitting line is defined as the benchmark similar subspace; the target similar subspace cluster corresponding to each benchmark similar subspace is constructed; according to the effect factors and time intervals of the target similar subspace in the target similar subspace cluster corresponding to each benchmark similar subspace on the probability of exceeding the standard, the probability that the electric air compressor of each target similar subspace on the last pressure value fitting line is not in the high-load operation state is obtained;

[0083] In a preferred but non-limiting embodiment of the present invention, in Step 3, the predefined critical quantity T is When the effect factor of the kth similar subspace on the zth pressure value fitting line on the probability of exceeding the standard is higher than the predefined critical value T, it is defined as the target similar subspace;

[0084] According to the above method, the target similarity subspace on each pressure value fitting line is obtained.

[0085] The following analysis of the high-load operation period of each timing cycle is performed on the target similar subspace.

[0086] The pressure change in the outlet pipe is affected by the air compressor's own factors, and it is often affected by its own factors. When the air compressor is in operation, the main effect of the air compressor's own factors is the collective high-load operation. Therefore, corresponding to the effect of its own factors, the pressure fluctuation amplitude of its own factors is more uniform, and the acquisition time points generated in each timing cycle are similar, and the duration of the pressure fluctuation is also similar. Based on this, the comparison of the effect factor size of the multi-cluster target similar subspace cluster on the probability of supernormality and the comparison of the target similar subspace generation time size and generation time point can be used for selection. The time point is the acquisition time point.

[0087] In a preferred but non-limiting embodiment of the present invention, in Step 3, the time distance from the first time point on each pressure value fitting line to a numerical point in each target similar subspace is defined as the site parameter of each target similar subspace; a numerical point in the similar subspace is a numerical point in the center of the similar subspace.

[0088] In all secondary pressure value fitting lines, the target similarity subspace on the first pressure value fitting line is defined as the reference similarity subspace, and the target similarity subspace corresponding to the minimum modulus of the quantity obtained by subtracting the site parameters of all target similarity subspaces in all non-first pressure value fitting lines from each reference similarity subspace is defined as the key similarity subspace, and each reference similarity subspace and all key similarity subspaces form a target similarity subspace cluster corresponding to each reference similarity subspace;

[0089] The time interval between the first time point and the last time point in each key similar subspace is defined as the duration of each key similar subspace;

[0090] The calculation equation for the probability value of the target similar subspace cluster corresponding to the qth reference similar subspace is the high-load operation period of each timing cycle of the electric air compressor:

[0091]

[0092] In the equation, F q The probability value of the target similar subspace cluster corresponding to the qth reference similar subspace is the high-load operation period of each timing cycle of the electric air compressor; ε u represents the standard deviation of the duration of all key similar subspaces in the target similar subspace cluster corresponding to the qth reference similar subspace; u q，i represents the time distance between the first time point of the i-th key similar subspace and the q-th reference similar subspace in the target similar subspace cluster corresponding to the q-th reference similar subspace; p q，L represents the number of all key similar subspaces in the target similar subspace cluster corresponding to the qth reference similar subspace; X q，l Represents the effect factor of the lth target similarity subspace in the target similarity subspace cluster corresponding to the qth reference similarity subspace on the probability of exceeding the standard; represents the average of the effect factors of all target similar subspaces in the target similar subspace cluster corresponding to the qth reference similar subspace on the probability of exceeding the standard; p q，I Represents the number of all target identical subspaces in the target identical subspace cluster corresponding to the qth reference identical subspace; To use the Z-score method Perform standardized operations.

[0093] And in It is zero hour, let For one.

[0094] The higher the effect factor of the target similarity subspace on the probability of exceeding the specification at the time point, the higher the probability of the electric air compressor of the new energy vehicle exceeding the specification; add the time period at the time point to the selected timing cycle operation time period clusters, and then calculate the probability of it being an operation time period cluster, then the higher the probability of belonging to the high-load operation period, the lower the probability of exceeding the specification.

[0095] In the pressure value fitting line of the electric air compressor, when the effect factor of the target similar subspace corresponding to this point in time on the probability of exceeding the specification is higher, it is reflected that the pressure value of the gas pipeline at this time increases, and the increase amplitude is not low. The probability of exceeding the specification of the electric air compressor of the new energy vehicle is higher. Based on this, the effect factor of the target similar subspace corresponding to this point in time on the probability of exceeding the specification can be selected. With the overcoming of the problem of exceeding the specification of the electric air compressor, the amplitude of the change of the pressure value fitting line caused by its own factors will often be closer to the change of the pressure value fitting line caused by its own factors. It is necessary to distinguish the change of the fitting line caused by its own factors from the change of the fitting line caused by its own factors. The corresponding time period of the time point is taken as the target similarity subspace of this collection and added into the above determined clustering method, and the probability value of the high-load operation period of each timing cycle of the new air compressor is obtained again according to the above method. If the probability values ​​of the high-load operation period of each timing cycle of the recent and previous air compressors are more similar, it means that the time point is more likely to be at the high-load operation point. The change of pressure is mainly due to the influence of its own factors. Therefore, the selection can be performed through the distance between the probability values ​​of the high-load operation period of each timing cycle of the recent and previous air compressors.

[0096] In a preferred but non-limiting embodiment of the present invention, in Step 3, the reference similar subspace corresponding to the target similar subspace cluster where the bth target similar subspace on the last pressure value fitting line is located is defined as the main reference similar subspace;

[0097] If the target similar subspace on the last pressure value fitting line is not located in the target similar subspace cluster, the analysis will not be performed;

[0098] In all other pressure value fitting lines other than the last pressure value fitting line, according to the method for obtaining the target similar subspace cluster corresponding to each benchmark similar subspace, the target similar subspace refresh cluster corresponding to each benchmark similar subspace is obtained; according to the method for obtaining the probability value that the target similar subspace cluster corresponding to each benchmark similar subspace is the high-load operation period of each timing cycle of the electric air compressor, the probability value that the target similar subspace refresh cluster corresponding to each benchmark similar subspace is the high-load operation period of each timing cycle of the electric air compressor is obtained.

[0099] The calculation equation for the probability that the electric air compressor in the b-th similar subspace on the last pressure value fitting line is not in a high-load operation state is:

[0100]

[0101] Within the equation, Q b represents the probability that the electric air compressor in the bth similar subspace on the fitting line of the last pressure value is not in the high-load operation state; X b Represents the effect factor of the bth target similar subspace on the fitting line of the last pressure value on the probability of exceeding the standard; F represents the probability value that the target similar subspace cluster corresponding to the main benchmark similar subspace is the high-load operation period of each timing cycle of the electric air compressor; F' represents the probability value that the target similar subspace refresh cluster corresponding to the main benchmark similar subspace is the high-load operation period of each timing cycle of the electric air compressor.

[0102] And when F is zero, let F be one.

[0103] |F-F'| is the modulus obtained by subtracting F from F'. The higher the modulus, the less the electric air compressor can meet the pressure changes of its own factors, and the higher the probability that the electric air compressor of the new energy vehicle is not in a high-load operation state. is the standardized treatment of |F-F'|, The higher it is, the higher the probability that the electric air compressor of the new energy vehicle is not operating at a high load.

[0104] Therefore, the probability that the electric air compressor in each similar subspace on the last pressure value fitting line is not in a high-load operation state is obtained.

[0105] Step 4, according to the probability of the electric air compressor in each target similar subspace on the fitting line of the last pressure value not being in the high-load operation state, the factor affecting the probability of exceeding the standard and the number of target similar subspaces, the probability value of the electric air compressor of the current new energy vehicle exceeding the standard is obtained;

[0106] In one acquisition, if the effect factor value of the probability of exceeding the specification in the target similar subspace is higher, it means that the pressure change is the highest, and the probability of the electric air compressor of the new energy vehicle exceeding the specification again at this time point is higher. Therefore, the amount obtained by subtracting the effect factor value of the probability of exceeding the specification in the corresponding thunder period at this time point from the effect factor value of the probability of exceeding the specification at another thunder period can be used for selection. As the problem of exceeding the specification of the electric air compressor is solved, the electric air compressor will gradually adapt to the state of high-load operation when operating at high load. Therefore, the number of target similar subspaces with higher fluctuations in one acquisition of the electric air compressor will gradually decrease with the increase of acquisition frequency. Therefore, the number of target similar subspaces with a relatively high effect factor value of the probability of exceeding the specification can be selected by multiple acquisitions until the same time point is used as the stop point, and the amplitude that meets the gradually decreasing value is selected. The higher the value, the better. Satisfaction, indicating that the electric air compressor is in better condition, the current time point corresponding to the thunder and lightning period is more sensitive to the factor value of the probability of exceeding the specification, and under the same time point value of the factor of the probability of exceeding the specification, the electric air compressor with better overcoming of the problem of exceeding the specification is higher, and the probability of exceeding the specification is higher. With the overcoming of the problem of exceeding the specification of the electric air compressor, the fluctuation of the pressure value fitting line decreases, so that the probability value of not being in the high-load operation situation obtained at the same time point of each collection will gradually decrease. When the probability value of not being in the high-load operation situation obtained at this time point satisfies the situation of gradually decreasing, it means that the probability of exceeding the specification of the electric air compressor of the new energy vehicle at this time point is lower. Based on this, the change amplitude of the probability value of not being in the high-load operation situation obtained at this time point and the same time point collected previously can be used for selection.

[0107] In a preferred but non-limiting embodiment of the present invention, in Step 4, the calculation equation for the probability value of the electric air compressor of the current new energy vehicle producing an over-specification operation is:

[0108]

[0109] In the equation, S represents the probability value of the electric air compressor of the current new energy vehicle exceeding the specification; X l is the effect factor of the lth target similar subspace on the last pressure value fitting line on the probability of exceeding the standard; zg{X} represents the highest value among the effect factors of all target similar subspaces on the last pressure value fitting line on the probability of exceeding the standard; L represents the number of all target similar subspaces on the last pressure value fitting line; P represents the frequency of all acquisitions; p l,l+1 ′ represents the modulus of the quantity obtained by subtracting the number of identical subspaces on the lth pressure value fitting line from the l+1th pressure value; Represents the mean of the modulus of the quantity obtained by subtracting the number of identical subspaces on the fitting line of all two adjacent pressure values; Q l Represents the probability that the electric air compressor in the first target similar subspace on the fitting line of the last pressure value is not in the high-load operation state;

[0110] To use the Z-score method Perform standardized operations.

[0111] When P or zg{X} is zero, let P or zg{X} be one.

[0112] Therefore, the probability value of the electric air compressor of the current new energy vehicle exceeding the specification is obtained.

[0113] Step 5, based on the probability value of the electric air compressor of the current new energy vehicle exceeding the specification during operation, determine whether the electric air compressor is currently exceeding the specification.

[0114] In a preferred but non-restrictive implementation of the present invention, in Step 5, if the probability value of the electric air compressor of the current new energy vehicle exceeding the specification is higher than the pre-defined value U, it is determined that the electric air compressor is currently exceeding the specification; when the electric air compressor exceeds the specification, the PLC will send an out-of-specification message to the display screen (the message content can be defined by yourself) for display, and the maintenance person will immediately perform maintenance on the electric air compressor of the new energy vehicle based on this.

[0115] The pressure value fitting line is analyzed by the above method. If it is finally determined that the operation of the electric air compressor of the new energy vehicle is out of specification, the PLC will send an out-of-specification message to the display screen (the message content can be defined by yourself), and the maintenance person will immediately perform maintenance on the electric air compressor of the new energy vehicle based on this.

[0116] like Figure 2 As shown, a component information control device for a new energy vehicle according to the present invention includes:

[0117] A display screen and a pressure sensor connected to the PLC, the pressure sensor is used to collect the pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmit it to the PLC, the PLC is used to store the collected pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmit the pressure value to the display screen for display, so as to achieve performance collection and control of the electric air compressor for the new energy vehicle;

[0118] The modules running on the PLC include:

[0119] A fitting module, which is used by the PLC to obtain a pressure value fitting line of the pressure values ​​collected and transmitted by the pressure sensor for multiple times;

[0120] The action module is used to cut each pressure value fitting line into multiple similar subspaces along the X-axis; according to the corresponding pressure value and derivative of each numerical point on each pressure value fitting line, the action factor of each similar subspace on each pressure value fitting line on the probability of exceeding the standard is obtained;

[0121] A construction module is used to obtain multiple target similar subspaces according to the effect factors of each similar subspace on the probability of exceeding the specification on each pressure value fitting line; define the similar subspace on the first pressure value fitting line as a reference similar subspace; construct a target similar subspace cluster corresponding to each reference similar subspace; obtain the probability that the electric air compressor of each target similar subspace on the last pressure value fitting line is not in a high-load operation state according to the effect factors and time intervals of the target similar subspace in the target similar subspace cluster corresponding to each reference similar subspace on the probability of exceeding the specification;

[0122] The over-scale block is used to obtain the probability value of the electric air compressor of the current new energy vehicle exceeding the standard according to the probability that the electric air compressor of each target similar subspace on the fitting line of the last pressure value is not in the high-load operation state, the factor affecting the over-standard probability and the number of target similar subspaces;

[0123] The determination module is used to determine whether the electric air compressor is currently exceeding the specification based on the probability value of the electric air compressor of the current new energy vehicle exceeding the specification.

[0124] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0125] By collecting the pressure in the outlet pipe, the out-of-specification situation of the electric air compressor during operation is intelligently analyzed, which saves time and labor, and enables the out-of-specification situation of the electric air compressor to be efficiently detected. According to the effect factor of each similar subspace on the fitting line of each pressure value on the probability of out-of-specification, multiple target similar subspaces are obtained; the similar subspace on the first pressure value fitting line is defined as a reference similar subspace; the target similar subspace cluster corresponding to each reference similar subspace is constructed; according to the effect of the target similar subspace in the target similar subspace cluster corresponding to each reference similar subspace on the probability of out-of-specification, the target similar subspace is analyzed. The probability that the electric air compressor of each similar subspace on the fitting line of the last pressure value is not in a high-load operation state is obtained by factor and time interval; according to the probability that the electric air compressor of each similar subspace on the fitting line of the last pressure value is not in a high-load operation state, the influencing factor on the probability of exceeding the specification and the number of similar subspaces of the target, the probability value of the electric air compressor of the current new energy vehicle exceeding the specification is obtained, which can accurately determine whether the electric air compressor of the current new energy vehicle exceeds the specification, and improve the efficiency and accuracy of collecting the pressure in the outlet pipeline to determine the electric air compressor exceeding the specification.

[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not deviate from the spirit and scope of the present invention should be covered within the protection space of the claims of the present invention.

Claims

1. A component information control method for new energy vehicles, characterized in that: include: The pressure sensor collects the pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmits it to the PLC. The PLC stores the collected pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmits the pressure value to the display screen for display; After the PLC collects the pressure value in the outlet pipe connected to the outlet of the electric air compressor of the new energy vehicle, it also includes: Step 1, PLC obtains the pressure value fitting line of the pressure value collected and transmitted by the pressure sensor for multiple times; Step 2, cut each pressure value fitting line into multiple similar subspaces; according to the corresponding pressure value and derivative of each numerical point on each pressure value fitting line, obtain the effect factor of each similar subspace on each pressure value fitting line on the probability of exceeding the standard; Step 3, according to the effect factors of each similar subspace on the pressure value fitting line on the probability of exceeding the standard, multiple target similar subspaces are obtained; the similar subspace on the first pressure value fitting line is defined as the benchmark similar subspace; the target similar subspace cluster corresponding to each benchmark similar subspace is constructed; according to the effect factors and time intervals of the target similar subspace in the target similar subspace cluster corresponding to each benchmark similar subspace on the probability of exceeding the standard, the probability that the electric air compressor of each target similar subspace on the last pressure value fitting line is not in the high-load operation state is obtained; Step 4, according to the probability of the electric air compressor in each target similar subspace on the fitting line of the last pressure value not being in the high-load operation state, the factor affecting the probability of exceeding the standard and the number of target similar subspaces, the probability value of the electric air compressor of the current new energy vehicle exceeding the standard is obtained; Step 5, based on the probability value of the electric air compressor of the current new energy vehicle exceeding the specification during operation, determine whether the electric air compressor is currently exceeding the specification.

2. The component information control method for new energy vehicles according to claim 1, characterized in that: In Step 1, a pressure sensor is used to collect the pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle. The pressure value is collected once every 1s. The least square method is used to obtain multiple pressure value fitting lines on the rectangular coordinate system based on the pressure values ​​collected in each defined timing period. The pressure values ​​collected at a certain timing period form a pressure value fitting line. The value of the pressure value fitting line on the X-axis on the rectangular coordinate system is the collection time point of the pressure value, and the value of the pressure value fitting line on the Y-axis on the rectangular coordinate system is the collected pressure value. In Step 1, the length of each timing cycle is 60 minutes.

3. The component information control method for new energy vehicles according to claim 2, characterized in that: In Step 2, the derivative method is used to perform calculations on the fitting lines of each pressure value to obtain a pressure value queue of a maximum point, and the change calculation is performed on the pressure value queue of the maximum point to obtain a change amount queue. The last maximum point in all the maximum points corresponding to each value in the change amount queue that is not less than the pre-defined value U is defined as a cutting boundary point, and all the cutting boundary points are used to cut the fitting lines of each pressure value into multiple similar subspaces; In Step 2, a method for performing change calculation on the pressure value queue of the maximum value point to obtain a change amount queue includes: The pressure value queue of the maximum point is {b0, b1, b2, ...........}, and the inner b n It is the nth value in the pressure value queue of the maximum point, where n is an integer not less than zero; According to this change, the nth element c in the queue n =b n +3*(b n+1 -b n+2 )+b n+3 .

4. The component information control method for new energy vehicles according to claim 3 is characterized in that: In Step 2, the equation for calculating the amplitude of the effect of the j-th value point on the z-th pressure value fitting line on the probability of exceeding the specification is: In the equation, R z,j represents the amplitude of the effect of the j-th value point on the z-th pressure value fitting line on the probability of exceeding the standard; n z，j Represents the pressure value corresponding to the j-th numerical point on the z-th pressure value fitting line; Represents the mean of the corresponding pressure values ​​of all numerical points on the z-th pressure value fitting line; l z，j represents the derivative corresponding to the jth value point on the zth pressure value fitting line; zg(l z ) represents the highest value of the corresponding derivative of all numerical points on the z-th pressure value fitting line.

5. The component information control method for new energy vehicles according to claim 4, characterized in that: In Step 2, the equation for calculating the effect of the kth similar subspace on the zth pressure value fitting line on the supernormal probability is: In the equation, X z,k R represents the effect of the kth similar subspace on the zth pressure value fitting line on the probability of exceeding the standard; z,k,t represents the amplitude of the effect of the t-th value point in the k-th similar subspace on the z-th pressure value fitting line on the probability of exceeding the standard; p z，k Represents the number of all numerical points in the kth similar subspace on the zth pressure value fitting line; The Z-score method is used to Perform standardized operations.

6. The component information control method for new energy vehicles according to claim 5, characterized in that: In Step 3, the predefined critical quantity T is When the effect factor of the kth similar subspace on the zth pressure value fitting line on the probability of exceeding the standard is higher than the predefined critical value T, it is defined as the target similar subspace; In Step 3, the time distance from the first time point on each pressure value fitting line to a numerical point in each target similar subspace is defined as the site parameter of each target similar subspace; In all secondary pressure value fitting lines, the target similarity subspace on the first pressure value fitting line is defined as the reference similarity subspace, and the target similarity subspace corresponding to the minimum modulus of the quantity obtained by subtracting the site parameters of all target similarity subspaces in all non-first pressure value fitting lines from each reference similarity subspace is defined as the key similarity subspace, and each reference similarity subspace and all key similarity subspaces form a target similarity subspace cluster corresponding to each reference similarity subspace; The time interval between the first time point and the last time point in each key similar subspace is defined as the duration of each key similar subspace; The calculation equation for the probability value of the target similar subspace cluster corresponding to the qth reference similar subspace is the high-load operation period of each timing cycle of the electric air compressor: In the equation, F q The target similar subspace cluster corresponding to the qth reference similar subspace is the probability value of the high-load operation period of each timing cycle of the electric air compressor; ε u Represents the standard deviation of the duration of all key similar subspaces in the target similar subspace cluster corresponding to the qth reference similar subspace; u q，i represents the time distance between the first time point of the i-th key similar subspace and the q-th reference similar subspace in the target similar subspace cluster corresponding to the q-th reference similar subspace; p q , L represents the number of all key similar subspaces in the target similar subspace cluster corresponding to the qth reference similar subspace; X q，l Represents the effect factor of the lth target similarity subspace in the target similarity subspace cluster corresponding to the qth reference similarity subspace on the probability of exceeding the standard; represents the average of the effect factors of all target similar subspaces in the target similar subspace cluster corresponding to the qth reference similar subspace on the probability of exceeding the standard; p q，I Represents the number of all target identical subspaces in the target identical subspace cluster corresponding to the qth reference identical subspace; To use the Z-score method Perform standardized operations.

7. The component information control method for new energy vehicles according to claim 6, characterized in that: In Step 3, the reference similar subspace corresponding to the target similar subspace cluster where the bth target similar subspace on the last pressure value fitting line is located is defined as the main reference similar subspace; If the target similar subspace on the last pressure value fitting line is not located in the target similar subspace cluster, the analysis will not be performed; The calculation equation for the probability that the electric air compressor in the b-th similar subspace on the last pressure value fitting line is not in a high-load operation state is: Within the equation, Q b represents the probability that the electric air compressor in the bth similar subspace on the fitting line of the last pressure value is not in the high-load operation state; X b Represents the effect factor of the b-th target similarity subspace on the fitting line of the last pressure value on the probability of exceeding the standard; F represents the probability value that the target similar subspace cluster corresponding to the main reference similar subspace is the high-load operation period of each timing cycle of the electric air compressor; F' represents the probability value that the target identical subspace refresh cluster corresponding to the main reference identical subspace is the high-load operation period of each timing cycle of the electric air compressor.

8. The component information control method for new energy vehicles according to claim 7, characterized in that: In Step 4, the calculation equation for the probability value of the electric air compressor of the current new energy vehicle exceeding the specification is: In the equation, S represents the probability value of the electric air compressor of the current new energy vehicle exceeding the specification; X l is the effect factor of the lth target similar subspace on the last pressure value fitting line on the probability of exceeding the standard; zg{X} represents the highest value among the effect factors of all target similar subspaces on the last pressure value fitting line on the probability of exceeding the standard; L represents the number of all target similar subspaces on the last pressure value fitting line; P represents the frequency of overall collection; p l,l+1 ′ represents the modulus of the quantity obtained by subtracting the number of identical subspaces on the lth pressure value fitting line from the l+1th pressure value; Represents the mean of the modulus of the quantity obtained by subtracting the number of identical subspaces on the fitting line of all two adjacent pressure values; Q l Represents the probability that the electric air compressor in the first target similar subspace on the fitting line of the last pressure value is not in the high-load operation state; To use the Z-score method Perform standardized operations.

9. The component information control method for new energy vehicles according to claim 8, characterized in that: In Step 5, if the probability value of the electric air compressor of the current new energy vehicle exceeding the specification is higher than the pre-defined value U, it is determined that the electric air compressor is currently exceeding the specification; when the electric air compressor exceeds the specification, the PLC sends an exceeding specification message to the display screen for display.

10. A component information control device for new energy vehicles, characterized in that: include: A display screen and a pressure sensor connected to the PLC, the pressure sensor is used to collect the pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmit it to the PLC, the PLC is used to store the collected pressure value in the air outlet pipe connected to the air outlet of the electric air compressor of the new energy vehicle and transmit the pressure value to the display screen for display; The modules running on the PLC include: A fitting module, which is used by the PLC to obtain a pressure value fitting line of the pressure values ​​collected and transmitted by the pressure sensor for multiple times; An action module is used to cut each pressure value fitting line into multiple similar subspaces; according to the corresponding pressure value and derivative of each numerical point on each pressure value fitting line, the action factor of each similar subspace on each pressure value fitting line on the probability of exceeding the standard is obtained; A construction module is used to obtain multiple target similar subspaces according to the effect factors of each similar subspace on the probability of exceeding the specification on each pressure value fitting line; define the similar subspace on the first pressure value fitting line as a reference similar subspace; construct a target similar subspace cluster corresponding to each reference similar subspace; obtain the probability that the electric air compressor of each target similar subspace on the last pressure value fitting line is not in a high-load operation state according to the effect factors and time intervals of the target similar subspace in the target similar subspace cluster corresponding to each reference similar subspace on the probability of exceeding the specification; The over-scale block is used to obtain the probability value of the electric air compressor of the current new energy vehicle exceeding the standard according to the probability that the electric air compressor of each target similar subspace on the fitting line of the last pressure value is not in the high-load operation state, the factor affecting the over-standard probability and the number of target similar subspaces; The determination module is used to determine whether the electric air compressor is currently exceeding the specification based on the probability value of the electric air compressor of the current new energy vehicle exceeding the specification.

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