A predictive maintenance method based on the consistency change of battery stack single chip

Abstract

The present invention relates to the technical field of fuel cell engines, and in particular to a predictive maintenance method based on the consistency change of a single chip of a fuel cell stack. The beneficial effect of the present invention is that the maintenance time can be predicted in advance according to the fuel cell stack condition, which is beneficial for the maintainer to arrange the maintenance strategy in advance and is beneficial for extending the service life of the fuel cell stack.

Description

Technical Field

[0001] The present invention relates to the technical field of fuel cell engines, and in particular to a predictive maintenance method, a control system and a storage medium based on consistency changes of a fuel cell stack. Background Art

[0002] As the impact of traditional automobile emissions on environmental pollution issues has attracted more and more attention, fuel cell engine technology has received more and more attention from automobile companies and has developed rapidly in recent years.

[0003] Fuel cell engines convert chemical energy into electrical energy, which in turn provides vehicle power, and are pollution-free. The fuel cell stack is the main power source of the fuel cell system. It is a device that uses redox reactions to output chemical energy in the form of electrical energy during the reaction.

[0004] The stack has multiple bipolar plates connected in series, which generate a potential difference during the hydrogen-oxygen chemical reaction, i.e., the single-chip voltage. The series connection of multiple single-chip voltages outputs a higher output voltage. The better the consistency of the single-chip voltage, the better the stack performance and stability.

[0005] As the running time increases, the single chip consistency of the stack will gradually deteriorate due to the loss and aging of the stack. The poor single chip voltage consistency will lead to excessive local current, easy hot spots, and even reverse polarity, leading to stack failure. Restoration through certain human intervention measures can restore the single chip consistency of the stack to a better level, allowing the stack to operate in an expected stable state, thereby increasing the service life of the stack.

[0006] How to predict the voltage consistency differences of a single cell in a fuel cell stack and formulate a maintenance plan in advance has become a difficult problem for technicians in this field.

[0007] In order to solve the above problems, the present invention proposes a predictive maintenance method based on the consistency change of a single chip of a fuel cell stack. Summary of the invention

[0008] The technical problem to be solved by the present invention is to provide a predictive maintenance method based on the consistency change of the single chip of the fuel cell stack, aiming to help enterprises formulate fuel cell stack maintenance plans in advance and reduce the risk of fuel cell stack failure.

[0009] The present invention discloses a predictive maintenance method based on the consistency change of a battery stack single chip, comprising the following steps:

[0010] 1) Collect the single-chip voltage V1-V of the N single-chip fuel cell stack n , and the fuel cell stack output current I;

[0011] 2) Transform the data from T1 to T MThe fuel cell output current at the moment is converged using the kmeans algorithm;

[0012] 3) Sort the operating currents gathered in step 2) according to the proportion of operating time, and select the operating current with the highest proportion as the analysis operating current I max ;

[0013] 4) According to the operating current I selected in step 3) max Filter the single-chip voltage data and only keep the working current I max The voltage of the battery stack under operation;

[0014] 5) Change T1 to T M M groups of N voltages at each moment, calculate each moment T x The single chip voltage standard deviation V_STD1-V_STD M ;

[0015] 6) Linearly fitting the single chip voltage standard deviation and the running time T in step 5) to obtain a fitting function equation of y=ax+b, where x is the running time and y is the single chip voltage standard deviation;

[0016] 7) Set the single chip voltage standard deviation to y lim When is the threshold value for the degradation of the stack performance or the reduction of the stack stability;

[0017] 8) Set the threshold value y in step 7) lim Substitute the fitting function obtained in step 6) and find the running time to reach the threshold value as x lim =(y lim -b) / a;

[0018] 9) Use the x obtained in step 8) lim -The current stack operating time is the remaining operating time until the next maintenance, x lim The total operating time until the next maintenance.

[0019] The beneficial effects of the present invention are:

[0020] The maintenance time can be predicted in advance according to the condition of the battery stack, which is helpful for the maintainer to arrange the maintenance strategy in advance and extend the service life of the battery stack. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a logic diagram of the present invention. DETAILED DESCRIPTION

[0022] The specific implementation modes of the present invention are further described below in conjunction with the accompanying drawings and examples. The following examples are only used to more clearly illustrate the technical solutions of the present invention and are not intended to limit the protection scope of the present invention.

[0023] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0025] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0026] Example 1

[0027] like Figure 1 As shown, a predictive maintenance method based on the consistency change of a battery stack single chip includes the following steps:

[0028] 1) Collect the single-chip voltage V1-V of the N single-chip fuel cell stack n , and the fuel cell stack output current I;

[0029] 2) Transform the data from T1 to T M The fuel cell output current at the moment is converged using the kmeans algorithm;

[0030] 3) Sort the operating currents gathered in step 2) according to the proportion of operating time, and select the operating current with the highest proportion as the analysis operating current I max ;

[0031] 4) According to the operating current I selected in step 3) max Filter the single-chip voltage data and only keep the working current I max The voltage of the battery stack under operation;

[0032] 5) Change T1 to T M M groups of N voltages at each moment, calculate each moment T x The single chip voltage standard deviation V_STD1-V_STD M ;

[0033] 6) Linearly fitting the single-chip voltage standard deviation and the running time T in step 5) to obtain a fitting function equation of y=ax+b, where x is the running time and y is the single-chip voltage standard deviation;

[0034] 7) Set the single chip voltage standard deviation to y lim When is the threshold value for the degradation of the stack performance or the reduction of the stack stability;

[0035] 8) Set the threshold value y in step 7) lim Substitute the fitting function obtained in step 6) and find the running time to reach the threshold value as x lim =(y lim -b) / a;

[0036] 9) Use the x obtained in step 8) lim -The current stack operating time is the remaining operating time until the next maintenance, x lim The total operating time until the next maintenance.

[0037] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A predictive maintenance method based on the consistency change of a single chip of a stack, characterized in that: The steps include: 1) Collect the single-chip voltage V1-V of the N single-chip fuel cell stack n , and the fuel cell stack output current I; 2) Transform the data from T1 to T M The fuel cell output current at the moment is converged using the kmeans algorithm; 3) Sort the operating currents gathered in step 2) according to the proportion of operating time, and select the operating current with the highest proportion as the analysis operating current I max ; 4) According to the operating current I selected in step 3) max Filter the single-chip voltage data and only keep the working current I max The voltage of the battery stack under operation; 5) Change T1 to T M M groups of N voltages at each moment, calculate each moment T x The single chip voltage standard deviation V_STD1-V_STD M ; 6) Linearly fitting the single-chip voltage standard deviation and the running time T in step 5) to obtain a fitting function equation of y=ax+b, where x is the running time and y is the single-chip voltage standard deviation; 7) Set the single chip voltage standard deviation to y lim When is the threshold value for the degradation of the stack performance or the reduction of the stack stability; 8) Set the threshold value y in step 7) lim Substitute the fitting function obtained in step 6) and find the running time to reach the threshold value as x lim =(y lim -b) / a; 9) Use the x obtained in step 8) lim -The current stack operating time is the remaining operating time until the next maintenance, x lim The total operating time until the next maintenance.

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