Methods, apparatus, electronic devices and storage media for determining the insulation resistance of fuel cells

By using resistance equivalent modeling and parameter correction, the problem of complex insulation resistance calculation in fuel cell systems was solved, achieving accurate insulation optimization and fault location, and reducing detection costs.

CN116742055BActive Publication Date: 2026-03-10DEEPAL AUTOMOBILE TECH CO LTD
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Patent Information

Application Number
CN202310711471.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-06-15
Publication Date
2026-03-10
Estimated Expiration
2043-06-15

AI Technical Summary

Technical Problem

The calculation of insulation resistance in fuel cell systems is complex, making real-time optimization and fault location impossible. Existing methods rely on ion concentration detectors, are costly, and have poor applicability.

Method used

By acquiring the battery system architecture and performance parameters of the fuel cell system, resistance equivalent modeling is performed. Combined with standard and modified reference parameters, the initial insulation resistance value is calculated and corrected to optimize insulation performance and locate faults.

Benefits of technology

It improves the ease and accuracy of insulation resistance calculation, enables accurate insulation optimization and fault location, and reduces testing costs.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This invention provides a method, apparatus, electronic device, and storage medium for determining the insulation resistance value of a fuel cell. The method includes: acquiring the battery system architecture and battery performance parameters of a fuel cell system; performing resistance equivalent modeling based on the battery system hardware connection architecture, water-thermal system piping architecture, and metal component connection architecture to obtain a fuel cell system model; determining an initial fuel cell insulation resistance value based on standard performance parameters and the fuel cell system model; and correcting the initial fuel cell insulation resistance value according to correction reference parameters to obtain a corrected fuel cell insulation resistance value, so as to perform insulation optimization or insulation fault location based on the corrected fuel cell insulation resistance value. The resistance equivalent modeling method improves the ease and accuracy of calculating the fuel cell insulation resistance value, and also improves the accuracy of insulation optimization and insulation fault location based on the fuel cell insulation resistance value.
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Description

Technical Field

[0001] This application relates to the field of new energy vehicle technology, specifically to a method, apparatus, electronic device, and storage medium for determining the insulation resistance value of a fuel cell. Background Technology

[0002] Insulation safety is a crucial aspect of overall vehicle safety. Problems with the vehicle's insulation can range from minor issues like power interruption affecting user experience to serious consequences such as personal injury. The insulation resistance of a fuel cell system is primarily influenced by three factors: the conductivity of the fuel cell cooling circuit, the layout of the cooling circuit piping, and the location of the cooling circuit's grounding point. While vehicle insulation can be uniformly tested using sensors, the coupling of multiple parameters makes calculating the fuel cell system's insulation resistance difficult. This hinders real-time calculations, parameter adjustments, and result optimization in guiding insulation optimization, and also makes it impossible to locate insulation faults using the fuel cell system's insulation resistance.

[0003] For example, CN113030754B discloses a method, apparatus, device, and storage medium for detecting the insulation resistance of a fuel cell vehicle, belonging to the field of fuel cell vehicle safety. The method includes: obtaining the first total dissolved solids (TDS) of the cooling water; obtaining the first conductivity of the cooling water corresponding to the first TDS based on the first TDS and a preset correspondence between the TDS and conductivity of the cooling water; and then determining the insulation resistance value of the fuel cell system based on the first conductivity of the cooling water. This disclosed embodiment detects the insulation resistance value of the fuel cell system by detecting the TDS of the cooling water in the hydrothermal management system, which can effectively reflect the insulation status of the fuel cell system and improve the safety of the fuel cell vehicle. Total dissolved solids (TDS) is detected by an ion concentration detector. However, in practical applications, ion concentration detectors require frequent maintenance, otherwise the TDS measurement will be inaccurate. Furthermore, ion concentration detectors are costly and not suitable for engineering applications.

[0004] Application content

[0005] This application provides a method, apparatus, electronic device, and storage medium for determining the insulation resistance value of a fuel cell system, in order to solve the technical problem that the insulation resistance value of the fuel cell system is inconvenient to calculate and that insulation optimization and insulation fault location cannot be performed based on the insulation resistance value of the fuel cell system.

[0006] In one embodiment of this application, a method for determining the insulation resistance value of a fuel cell is provided, comprising: obtaining the battery system architecture and battery performance parameters of a fuel cell system, wherein the battery system architecture includes a battery system hardware connection architecture, a hydrothermal system piping architecture, and a metal component connection architecture, and the battery performance parameters include standard performance parameters and corrected reference parameters; performing resistance equivalent modeling based on the battery system hardware connection architecture, the hydrothermal system piping architecture, and the metal component connection architecture to obtain a fuel cell system model; determining an initial fuel cell insulation resistance value based on the standard performance parameters and the fuel cell system model; and correcting the initial fuel cell insulation resistance value according to the corrected reference parameters to obtain a corrected fuel cell insulation resistance value, so as to perform insulation optimization or insulation fault location based on the corrected fuel cell insulation resistance value.

[0007] In one embodiment of this application, the process of obtaining a fuel cell system model by performing resistance equivalent modeling based on the battery system hardware connection architecture, the hydrothermal system piping architecture, and the metal component connection architecture includes: performing hardware resistance equivalent modeling based on the battery system hardware connection architecture to obtain a battery system hardware model; performing segmented resistance equivalent modeling based on the pipe diameter-pipe length parameters in the hydrothermal system piping architecture to obtain a hydrothermal system piping model; performing grounding resistance equivalent modeling based on the shell grounding position in the metal component connection architecture to obtain a metal component model; and determining a fuel cell system model based on the battery system hardware model, the hydrothermal system piping model, and the metal component model.

[0008] In one embodiment of this application, determining the initial fuel cell insulation resistance value based on the standard performance parameters and the fuel cell system model includes: determining a first insulation resistance value based on the battery system hardware conductivity-standard temperature parameters and the battery system hardware model; determining a second insulation resistance value based on the coolant conductivity-standard temperature parameters, the hydrothermal system piping model, and the metal component model; and using the first insulation resistance value and the second insulation resistance value as the initial fuel cell insulation resistance value; wherein the standard performance parameters include the battery system hardware conductivity-standard temperature parameters and the coolant conductivity-standard temperature parameters.

[0009] In one embodiment of this application, the initial fuel cell insulation resistance value is corrected according to the correction reference parameters to obtain a corrected fuel cell insulation resistance value, including: performing a first correction on a first insulation resistance value based on a target temperature and a coolant temperature coefficient to obtain a third insulation resistance value; performing a second correction on a second insulation resistance value based on the target temperature and a pipeline deformation value to obtain a fourth insulation resistance value; and determining the corrected fuel cell insulation resistance value based on the third insulation resistance value and the fourth insulation resistance value; wherein the correction reference parameters include the target temperature, the coolant temperature coefficient, and the pipeline deformation value, and the coolant temperature coefficient is used to characterize the difference coefficient between the coolant conductivity at the first reference temperature and the coolant conductivity at the second reference temperature.

[0010] In one embodiment of this application, the first modification method includes:

[0011]

[0012] Where T is the target temperature, σ T The current is the coolant conductivity at the target temperature, θ is the coolant temperature coefficient, and T ref For standard temperature, σ Tref This represents the conductivity of the coolant at standard temperature.

[0013] In one embodiment of this application, after correcting the initial fuel cell insulation resistance value according to the corrected reference parameters to obtain the corrected fuel cell insulation resistance value, the fuel cell insulation resistance value determination method further includes: performing insulation optimization of the fuel cell system model based on the corrected fuel cell insulation resistance value, the target fuel cell insulation resistance value, and the target conductivity value; wherein, the insulation optimization includes optimizing the shell grounding position and optimizing the pipe diameter-pipe length parameters, and the battery performance parameters further include the target fuel cell insulation resistance value and the target conductivity value.

[0014] In one embodiment of this application, after correcting the initial fuel cell insulation resistance value according to the corrected reference parameters to obtain the corrected fuel cell insulation resistance value, the fuel cell insulation resistance value determination method further includes: acquiring the fuel cell insulation monitoring resistance value and the vehicle insulation electrical framework; establishing a vehicle insulation resistance value model based on the vehicle insulation electrical framework and the fuel cell system model; determining the fuel cell vehicle insulation resistance value based on the corrected fuel cell insulation resistance value and the vehicle insulation resistance value model; determining an insulation reference fault based on the fuel cell vehicle insulation resistance value and the change in the casing grounding position, the insulation reference fault including an insulation reference resistance value and an insulation fault location point; comparing the fuel cell insulation monitoring resistance value and the insulation reference resistance value, and determining a target fault based on the comparison result and the insulation fault location point.

[0015] In one embodiment of this application, a fuel cell insulation resistance determination device is provided, comprising: an acquisition module for acquiring the battery system architecture and battery performance parameters of a fuel cell system, wherein the battery system architecture includes a battery system hardware connection architecture, a hydrothermal system piping architecture, and a metal component connection architecture, and the battery performance parameters include standard performance parameters and corrected reference parameters; a model building module for performing resistance equivalent modeling based on the battery system hardware connection architecture, the hydrothermal system piping architecture, and the metal component connection architecture to obtain a fuel cell system model; a resistance determination module for determining an initial fuel cell insulation resistance value based on the standard performance parameters and the fuel cell system model; and a correction module for correcting the initial fuel cell insulation resistance value according to the corrected reference parameters to obtain a corrected fuel cell insulation resistance value, so as to perform insulation optimization or insulation fault location based on the corrected fuel cell insulation resistance value.

[0016] This application also provides an electronic device, the electronic device comprising: one or more processors; and a storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the fuel cell insulation resistance determination method as described in any of the above embodiments.

[0017] This application also provides a computer-readable storage medium storing a computer program that, when executed by a computer's processor, causes the computer to perform the fuel cell insulation resistance determination method as described in any of the above embodiments.

[0018] The beneficial effects of this invention are as follows: This invention provides a method, apparatus, electronic device, and storage medium for determining the insulation resistance of a fuel cell. In this invention, resistance equivalent modeling is performed through the battery system hardware connection architecture, the water-thermal system piping architecture, and the metal component connection architecture to obtain a fuel cell system model. This fuel cell system model can improve the ease and accuracy of calculating the insulation resistance of a fuel cell under the influence of multi-parameter coupling, and improve the accuracy of insulation optimization and insulation fault location through the fuel cell insulation resistance value.

[0019] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0020] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:

[0021] Figure 1 A schematic diagram of an exemplary system architecture to which the technical solutions of the embodiments of this application can be applied is shown;

[0022] Figure 2 A flowchart illustrating a method for determining the insulation resistance of a fuel cell according to an embodiment of this application is shown.

[0023] Figure 3 A schematic diagram of a fuel cell system model according to an embodiment of this application is shown;

[0024] Figure 4 A schematic flowchart illustrating the calculation of the insulation resistance value of a fuel cell according to an embodiment of this application is shown;

[0025] Figure 5 A schematic diagram of the overall vehicle insulation electrical frame of a fuel cell vehicle according to an embodiment of this application is shown;

[0026] Figure 6 A logic diagram for locating insulation faults according to an embodiment of this application is shown;

[0027] Figure 7 A schematic flowchart illustrating the insulation fault location of fuel cell insulation according to an embodiment of this application is shown.

[0028] Figure 8 A block diagram of a fuel cell insulation resistance determination apparatus according to an embodiment of this application is shown;

[0029] Figure 9 A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown. Detailed Implementation

[0030] The embodiments of this application will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be understood that the preferred embodiments are only for illustrating this application and are not intended to limit the scope of protection of this application.

[0031] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. Therefore, the drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0032] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the present application. However, it will be apparent to those skilled in the art that embodiments of the present application may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the present application.

[0033] Please see Figure 1 , Figure 1 A schematic diagram of an exemplary system architecture to which the technical solutions of the embodiments of this application can be applied is shown. For example... Figure 1 As shown, the system architecture may include insulation 101 from the positive and negative electrodes of the fuel cell stack to the water inlet, a fuel cell stack to radiator piping 102, a radiator to water pump piping 103, a water pump to fuel cell stack piping 104, small circulation piping 105 and 106, a small circulation to deionizer piping 107, a deionizer to three-way valve piping 108, a small water pump piping 109 entering the heating circuit, a small water pump piping 110 exiting the heating circuit, a PTC piping entering the electric heater 111, a PTC piping exiting the electric heater 113, a fuel cell stack to heating circuit piping 112, an intercooler piping 114, an intercooler piping 115, fuel cell stack grounding 116, intercooler grounding 117, radiator grounding 118, large water pump grounding 119, and PTC grounding 120. This system architecture is the battery system architecture of a fuel cell system. This application can model the fuel cell system model based on the actual connection form of the components in the system architecture and the different grounding point locations.

[0034] While vehicle insulation can be uniformly tested using sensors, the coupling effect of multiple parameters makes it difficult to calculate the insulation resistance of the fuel cell system. This makes it difficult to perform real-time calculations, parameter adjustments, and result optimization in guiding insulation optimization, and also makes it impossible to locate insulation faults using the insulation resistance of the fuel cell system.

[0035] To address the aforementioned technical problems, this application provides a method, apparatus, electronic device, and storage medium for determining the insulation resistance value of a fuel cell. The implementation details of the technical solutions in the embodiments of this application are described in detail below.

[0036] Please see Figure 2 , Figure 2 A flowchart illustrating a method for determining the insulation resistance of a fuel cell according to an embodiment of this application is shown. Figure 2 As shown, in an exemplary embodiment, the method for determining the insulation resistance of a fuel cell includes at least steps S210 to S240, which are described in detail below:

[0037] Step S210: Obtain the battery system architecture and battery performance parameters of the fuel cell system.

[0038] The battery system architecture includes the battery system hardware connection architecture, the water and heat system piping architecture, and the metal component connection architecture. The battery performance parameters include standard performance parameters and modified reference parameters.

[0039] In one embodiment of this application, the battery system hardware connection architecture includes a stack connection architecture; the hydrothermal system piping architecture includes a battery system piping connection architecture and pipe diameter-length parameters; the metal component connection architecture is the metal component architecture connected to the fuel cell casing, including but not limited to an unshielded water pump, a metal radiator, and a metal intercooler, the water pump including a large water pump and a small water pump, and the intercooler being a key component of the air compressor.

[0040] In one embodiment of this application, standard performance parameters are used to characterize conductivity parameters at standard temperatures. These standard performance parameters include battery system hardware conductivity at standard temperature and coolant conductivity at standard temperature. Specifically, the battery system hardware conductivity at standard temperature is obtained through bench testing at the fuel cell module nozzle at a standard temperature T0; the coolant conductivity at standard temperature is obtained through manufacturer testing of the coolant at a standard temperature. Correction reference parameters are used to characterize correction parameters at a target temperature. These correction reference parameters include the target temperature, coolant temperature coefficient, and piping deformation value.

[0041] Step S220: Perform resistance equivalent modeling based on the battery system hardware connection architecture, water-thermal system piping architecture, and metal component connection architecture to obtain the fuel cell system model.

[0042] In one embodiment of this application, the process of obtaining a fuel cell system model by performing resistance equivalent modeling based on the battery system hardware connection architecture, the hydrothermal system piping architecture, and the metal component connection architecture includes: performing hardware resistance equivalent modeling based on the battery system hardware connection architecture to obtain a battery system hardware model; performing segmented resistance equivalent modeling based on the pipe diameter-pipe length parameters in the hydrothermal system piping architecture to obtain a hydrothermal system piping model; performing grounding resistance equivalent modeling based on the grounding position of the outer casing in the metal component connection architecture to obtain a metal component model; and determining the fuel cell system model based on the battery system hardware model, the hydrothermal system piping model, and the metal component model.

[0043] In one embodiment of this application, according to Figure 1 The actual connection methods of different components and the different grounding point locations are modeled. Please refer to [link / reference]. Figure 3 , Figure 3 A schematic diagram of a fuel cell system model according to an embodiment of this application is shown. Figure 3As shown, the hardware resistance equivalent modeling includes the insulation 301 from the positive and negative terminals of the fuel cell module to the water inlet; the segmented resistance equivalent modeling includes the fuel cell to radiator piping 302, the radiator to the water pump piping 303, the water pump to the fuel cell piping 304, the small circulation piping 305, 306, the small circulation to the deionizer piping 307, the deionizer to the three-way valve piping 308, the small water pump piping entering the heating circuit 309, the small water pump piping exiting the heating circuit 130, the PTC piping entering the electric heater 311, the PTC piping exiting the electric heater 313, the fuel cell to the heating circuit piping 312, the intercooler to the intercooler piping 314 and the intercooler to the intercooler piping 315; the grounding resistance equivalent modeling includes the fuel cell positive and negative terminals to the casing ground 316, the air compressor to the casing ground 317, the DC-DC converter to the casing ground 318, and the water pump to the casing ground 319.

[0044] Step S230: Determine the initial fuel cell insulation resistance value based on standard performance parameters and the fuel cell system model.

[0045] In one embodiment of this application, determining the initial insulation resistance value of the fuel cell based on standard performance parameters and a fuel cell system model includes: determining a first insulation resistance value based on the battery system hardware conductivity-standard temperature parameters and the battery system hardware model; determining a second insulation resistance value based on the coolant conductivity-standard temperature parameters, the hydrothermal system piping model, and the metal component model; and using the first and second insulation resistance values ​​as the initial fuel cell insulation resistance value; wherein the standard performance parameters include the battery system hardware conductivity-standard temperature parameters and the coolant conductivity-standard temperature parameters.

[0046] In one embodiment of this application, since different fuel cell stack manufacturers use different materials and have different pressing processes, the first insulation resistance value needs to be obtained by actual measurement on a bench at the fuel cell stack module gate to determine the relationship between the first insulation resistance value R1 and the battery system hardware conductivity-standard temperature parameter σ1.

[0047] In one embodiment of this application, the formula for determining the insulation resistance of the nth segment of the conduit in the second resistance value is as follows:

[0048]

[0049] in, Let L be the insulation resistance value of the nth pipe segment. n Let be the length of the nth pipe segment, σ² be the conductivity of the coolant at standard temperature, and D be the length of the nth pipe segment. n Let be the inner diameter of the nth pipe segment.

[0050] In one embodiment of this application, the second insulation resistance value of the fuel cell system model is calculated by simulation application, or it can be calculated by deriving an equivalent circuit based on Equation (1) and the series-parallel relationship of each circuit.

[0051] Step S240: Correct the initial fuel cell insulation resistance value according to the correction reference parameters to obtain the corrected fuel cell insulation resistance value, so as to perform insulation optimization or insulation fault location based on the corrected fuel cell insulation resistance value.

[0052] In one embodiment of this application, the initial fuel cell insulation resistance value is corrected according to the correction reference parameters to obtain a corrected fuel cell insulation resistance value. This includes: performing a first correction on the first insulation resistance value based on the target temperature and the coolant temperature coefficient to obtain a third insulation resistance value; performing a second correction on the second insulation resistance value based on the target temperature and the pipeline deformation value to obtain a fourth insulation resistance value; and determining the corrected fuel cell insulation resistance value based on the third insulation resistance value and the fourth insulation resistance value. The correction reference parameters include the target temperature, the coolant temperature coefficient, and the pipeline deformation value. The coolant temperature coefficient is used to characterize the difference coefficient between the coolant conductivity at the first reference temperature and the coolant conductivity at the second reference temperature.

[0053] In one embodiment of this application, the first modification includes:

[0054]

[0055] Where T is the target temperature, σ T The current is the coolant conductivity at the target temperature, θ is the coolant temperature coefficient, and T ref For standard temperature, σ Tref This represents the conductivity of the coolant at standard temperature.

[0056] In one embodiment of this application, because different coolant manufacturers produce different coolant formulations, the coolant temperature coefficient varies. Therefore, bench testing is required to obtain the coolant temperature coefficient. The method for determining the coolant temperature coefficient is as follows:

[0057]

[0058] Where θ is the coolant temperature coefficient, T1 is the first reference temperature, T2 is the second reference temperature, and σ T1 σ represents the coolant conductivity at the first reference temperature. T2 The conductivity of the coolant at the second reference temperature.

[0059] In one embodiment of this application, the pipeline deformation value includes the pipe length deformation value and the pipe diameter deformation value. The second correction is determined based on the pipeline deformation value to obtain the pipeline parameter correction coefficient η1.

[0060] In one embodiment of this application, the coolant conductivity at the target temperature is used to obtain the stack temperature correction coefficient μ1, and the corrected fuel cell insulation resistance is obtained based on the stack temperature correction coefficient μ1 and the pipeline parameter correction coefficient η1. The formula for correcting the fuel cell insulation resistance is as follows:

[0061] R 修 =μ1R1+η1R2 Equation (4)

[0062] Among them, R 修 To correct the insulation resistance of the fuel cell, μ1 is the stack temperature correction coefficient, R1 is the first insulation resistance, η1 is the pipeline parameter correction coefficient, and R2 is the second insulation resistance.

[0063] In one embodiment of this application, after correcting the initial fuel cell insulation resistance value according to the corrected reference parameters to obtain the corrected fuel cell insulation resistance value, the fuel cell insulation resistance value determination method further includes: performing insulation optimization of the fuel cell system model based on the corrected fuel cell insulation resistance value, the target fuel cell insulation resistance value, and the target conductivity value; wherein, the insulation optimization includes optimizing the shell grounding position and optimizing the pipe diameter-pipe length parameters, and the battery performance parameters also include the target fuel cell insulation resistance value and the target conductivity value.

[0064] In one embodiment of this application, the target fuel cell insulation resistance is greater than or equal to 1.5 MΩ and the target conductivity is greater than or equal to 5 μs / cm. This is only an example and this application does not limit it. The insulation optimization of the fuel cell system is achieved by adjusting the docking location and pipe diameter-pipe length parameters in the fuel cell system model.

[0065] In one embodiment of this application, please refer to Figure 4 , Figure 4 A schematic flowchart illustrating the calculation of the insulation resistance value of a fuel cell according to one embodiment of this application is shown. Figure 4As shown, S410 insulation resistance calculation of the fuel cell stack module: the first insulation resistance value and the relationship between the battery system hardware conductivity and standard temperature parameter σ1 are obtained by actual measurement at the fuel cell stack module water inlet; S420 insulation resistance calculation of each section of pipeline: the second insulation resistance value is calculated by simulation application on the fuel cell system model, or it can be calculated by deriving an equivalent circuit by combining the series and parallel relationship of each loop through equation (1); S430 insulation resistance correction: the first correction is performed by equation (2) to obtain the fuel cell stack temperature correction coefficient; S440 influence factor parameter correction: the pipeline parameter correction coefficient is determined by the pipeline deformation value; S450 insulation resistance calculation at a specified temperature: the first insulation resistance value is corrected by the fuel cell stack temperature correction coefficient, the second insulation resistance value is corrected by the pipeline parameter correction coefficient, and finally the corrected fuel cell insulation resistance value is obtained; S460 parameter adjustment to optimize insulation resistance value: the insulation of the fuel cell system model is optimized by optimizing the shell grounding position and optimizing the pipe diameter-pipe length parameters.

[0066] In one embodiment of this application, after correcting the initial fuel cell insulation resistance value according to the corrected reference parameters to obtain the corrected fuel cell insulation resistance value, the fuel cell insulation resistance value determination method further includes: acquiring the fuel cell insulation monitoring resistance value and the vehicle insulation electrical framework; establishing a vehicle insulation resistance value model based on the vehicle insulation electrical framework and the fuel cell system model; determining the fuel cell vehicle insulation resistance value based on the corrected fuel cell insulation resistance value and the vehicle insulation resistance model; determining an insulation reference fault based on the change in the fuel cell vehicle insulation resistance value and the casing grounding position, the insulation reference fault including the insulation reference resistance value and the insulation fault location point; comparing the fuel cell insulation monitoring resistance value and the insulation reference resistance value, and determining the target fault based on the comparison result and the insulation fault location point.

[0067] In one embodiment of this application, please refer to Figure 5 , Figure 5 A schematic diagram of the overall vehicle insulation electrical frame of a fuel cell vehicle according to one embodiment of this application is shown. Figure 5 As shown, the vehicle's insulated electrical framework includes a fuel cell system 501, a DC-DC converter stack 502, a power battery module 503, a small DC-DC converter 504, and an electric drive module 505. All electrical modules in the electrical circuit are connected to the vehicle body and grounded through their housings. The power battery module 503 has an insulation resistance monitoring function, monitoring the insulation resistance between the positive and negative high-voltage buses and the vehicle body, i.e., the overall vehicle insulation resistance. The fuel cell system, after being connected to the vehicle circuit through its output high-voltage bus, affects the change in the overall vehicle insulation resistance.

[0068] In one embodiment of this application, if the change in the grounding position of the outer casing indicates a failure of the positive and negative electrodes of the fuel cell to the outer casing ground, the insulation resistance value of the fuel cell will change accordingly, thereby changing the insulation resistance value of the fuel cell vehicle, and obtaining the insulation reference resistance value and the insulation fault location point under the fault condition.

[0069] In one embodiment of this application, the insulation resistance of the fuel cell vehicle is periodically tested by the insulation inspection module of the power battery module to obtain the insulation resistance of the whole vehicle, which is also the insulation monitoring resistance of the fuel cell.

[0070] In one embodiment of this application, if the vehicle operating temperature is T3, the fuel cell insulation monitoring resistance is R3, and the corresponding conductivity is σ3, if the fuel cell insulation monitoring resistance changes to R3 within a preset time period... 1 The conductivity is calculated based on σ3 at the previous moment. If a temperature change occurs, the conductivity is corrected, but short-term ion deposition is not considered; that is, if the temperature remains constant, the short-term conductivity change is small. Based on the change in the fuel cell insulation monitoring resistance and the corresponding change in the fuel cell vehicle insulation resistance, the change in the fuel cell insulation resistance is recursively deduced, and then the current insulation fault location point is determined based on the threshold.

[0071] In one embodiment of this application, please refer to Figure 6 , Figure 6 A logic diagram for locating insulation faults according to one embodiment of this application is shown. Figure 6 As shown, the insulation monitoring resistance value of the fuel cell is compared with the insulation reference resistance value. If the comparison result falls within a fault range, the insulation fault location point corresponding to the fault range is determined as the target fault. For example, if the fuel cell insulation monitoring resistance value is greater than or equal to b, then the fault at location A is determined as the target fault; if the fuel cell insulation monitoring resistance value is greater than or equal to 0, then the fault at location N is determined as the target fault.

[0072] In one embodiment of this application, please refer to Figure 7 , Figure 7 A schematic flowchart illustrating the insulation fault location process for fuel cell insulation according to one embodiment of this application is shown. Figure 7As shown, S701 Establishing the vehicle model: Establishing a vehicle insulation resistance model based on the vehicle's insulation electrical framework and fuel cell system model; S702 Calculating the vehicle insulation resistance: Determining the fuel cell vehicle's insulation resistance based on the corrected fuel cell insulation resistance and the vehicle insulation resistance model, wherein the correction of the fuel cell vehicle's insulation resistance refers to the resistance correction method in the fuel cell system model; S703 Determining the fault insulation threshold: Determining the insulation reference fault based on the changes in the fuel cell vehicle's insulation resistance and the casing grounding position, the insulation reference fault includes the insulation reference resistance and the insulation fault location point; S704 Determining the fault location: Comparing the fuel cell insulation monitoring resistance and the insulation reference resistance, and determining the target fault based on the comparison result and the insulation fault location point.

[0073] This application can solve the coupling calculation between complex water channels with an error of less than 5%, and the calculation results can be applied to actual fault diagnosis.

[0074] Please see Figure 8 , Figure 8 A block diagram of a fuel cell insulation resistance determination device according to an embodiment of this application is shown. This device can be applied to... Figure 1 The implementation environment shown is not limited to this embodiment. This device can also be applied to other exemplary implementation environments.

[0075] like Figure 8 As shown, a fuel cell insulation resistance determination device 800 according to an embodiment of this application includes: an acquisition module 801, a model building module 802, a resistance determination module 803, and a correction module 804.

[0076] The module 801 is used to acquire the battery system architecture and battery performance parameters of the fuel cell system. The battery system architecture includes the battery system hardware connection architecture, the water and heat system piping architecture, and the metal component connection architecture. The battery performance parameters include standard performance parameters and corrected reference parameters. The model building module 802 is used to perform resistance equivalent modeling based on the battery system hardware connection architecture, water and heat system piping architecture, and metal component connection architecture to obtain the fuel cell system model. The resistance value determination module 803 is used to determine the initial fuel cell insulation resistance value based on the standard performance parameters and the fuel cell system model. The correction module 804 is used to correct the initial fuel cell insulation resistance value according to the corrected reference parameters to obtain the corrected fuel cell insulation resistance value, so as to perform insulation optimization or insulation fault location based on the corrected fuel cell insulation resistance value.

[0077] It should be noted that the fuel cell insulation resistance determination device and the fuel cell insulation resistance determination method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the fuel cell insulation resistance determination device provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0078] Embodiments of this application also provide an electronic device, including: one or more processors; and a storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement the fuel cell insulation resistance determination method provided in the above embodiments.

[0079] Please see Figure 9 , Figure 9 A schematic diagram of a computer system suitable for implementing the embodiments of this application is shown. It should be noted that... Figure 9 The computer system 900 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0080] like Figure 9 As shown, the computer system 900 includes a Central Processing Unit (CPU) 901, which can perform various appropriate actions and processes, such as executing the methods described in the above embodiments, based on programs stored in Read-Only Memory (ROM) 902 or programs loaded from storage portion 908 into Random Access Memory (RAM) 903. The RAM 903 also stores various programs and data required for system operation. The CPU 901, ROM 902, and RAM 903 are interconnected via a bus 904. An Input / Output (I / O) interface 905 is also connected to the bus 904.

[0081] The following components are connected to I / O interface 905: an input section 906 including a keyboard, mouse, etc.; an output section 907 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 908 including a hard disk, etc.; and a communication section 909 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to I / O interface 905 as needed. Removable media 911, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 910 as needed so that computer programs read from them can be installed into storage section 908 as needed.

[0082] According to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 909, and / or installed from removable medium 911. When the computer program is executed by central processing unit (CPU) 901, it performs various functions defined in the system of this application.

[0083] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0084] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0085] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0086] Another aspect of this application provides a computer-readable storage medium storing a computer program thereon, which, when executed by a computer's processor, causes the computer to perform the fuel cell insulation resistance determination method provided in the various embodiments described above. This computer-readable storage medium may be included in the electronic device described in the above embodiments, or it may exist independently and not assembled into the electronic device.

[0087] In the above embodiments, unless otherwise specified, the use of ordinal numbers such as "first" and "second" to describe common objects only indicates that they refer to different instances of the same object, rather than indicating that the objects being described must be in a given order, whether temporally, spatially, sequentially, or in any other way.

[0088] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A method of determining the insulation resistance of a fuel cell, characterized by, The fuel cell insulation resistance determination method comprises: obtaining a cell system architecture and cell performance parameters of a fuel cell system, the cell system architecture comprising a cell system hardware connection architecture, a water-heat system pipeline architecture and a metal piece connection architecture, and the cell performance parameters comprising standard performance parameters and correction reference parameters; performing resistance equivalent modeling according to the cell system hardware connection architecture, the water-heat system pipeline architecture and the metal piece connection architecture to obtain a fuel cell system model; specifically comprising: performing hardware resistance equivalent modeling according to the cell system hardware connection architecture to obtain a cell system hardware model; performing segmented resistance equivalent modeling based on the pipe diameter-pipe length parameters in the water-heat system pipeline architecture to obtain a water-heat system pipeline model; performing grounding resistance equivalent modeling according to the shell grounding position in the metal piece connection architecture to obtain a metal piece model; and determining the fuel cell system model based on the cell system hardware model, the water-heat system pipeline model and the metal piece model; determining an initial fuel cell insulation resistance based on the standard performance parameters and the fuel cell system model; specifically comprising: determining an initial fuel cell insulation resistance based on the standard performance parameters and the fuel cell system model, which comprises: performing first resistance value determination according to the cell system hardware conductivity-standard temperature parameters and the cell system hardware model to obtain a first insulation resistance value; performing second resistance value determination based on the coolant conductivity-standard temperature parameters, the water-heat system pipeline model and the metal piece model to obtain a second insulation resistance value; and taking the first insulation resistance value and the second insulation resistance value as the initial fuel cell insulation resistance; wherein the standard performance parameters comprise the cell system hardware conductivity-standard temperature parameters and the coolant conductivity-standard temperature parameters; correcting the initial fuel cell insulation resistance according to the correction reference parameters to obtain a corrected fuel cell insulation resistance, so as to perform insulation optimization or insulation fault positioning according to the corrected fuel cell insulation resistance, and the correction reference parameters comprise a target temperature coolant temperature coefficient and a pipeline deformation value.

2. The fuel cell insulation resistance value determination method according to claim 1, characterized by, The method for correcting the initial fuel cell insulation resistance according to the correction reference parameters to obtain a corrected fuel cell insulation resistance comprises: performing first correction on the first insulation resistance value according to a target temperature and a coolant temperature coefficient to obtain a third insulation resistance value; performing second correction on the second insulation resistance value according to the target temperature and the pipeline deformation value to obtain a fourth insulation resistance value; determining the corrected fuel cell insulation resistance based on the third insulation resistance value and the fourth insulation resistance value; wherein the coolant temperature coefficient is used to represent a difference coefficient between the coolant conductivity at a first reference temperature and the coolant conductivity at a second reference temperature.

3. The method of claim 2, wherein The first correction method comprises: wherein, Ttarget is the target temperature, Ktarget is the coolant conductivity at the target temperature, Ktarget is the coolant temperature coefficient, Tstandard is the standard temperature, Kstandard is the coolant conductivity at the standard temperature.

4. The method of claim 1-3, wherein after the initial fuel cell insulation resistance is corrected according to the correction reference parameters to obtain a corrected fuel cell insulation resistance, the fuel cell insulation resistance determination method further comprises: performing insulation optimization of the fuel cell system model based on the corrected fuel cell insulation resistance, a target fuel cell insulation resistance and a target conductivity value; The insulation optimization includes optimizing a shell grounding position and optimizing a pipe diameter-pipe length parameter, and the battery performance parameter further includes the target fuel cell insulation resistance value and the target conductivity value.

5. The method of claim 1-3, wherein After the initial fuel cell insulation resistance value is corrected according to the correction reference parameter to obtain a corrected fuel cell insulation resistance value, the fuel cell insulation resistance value determination method further includes: obtaining a fuel cell insulation monitoring resistance value of a whole vehicle and a whole vehicle insulation electrical framework; establishing a whole vehicle insulation resistance value model according to the whole vehicle insulation electrical framework and the fuel cell system model; determining a fuel cell vehicle insulation resistance value according to the corrected fuel cell insulation resistance value and the whole vehicle insulation resistance value model; determining an insulation reference fault including an insulation reference resistance value and an insulation fault positioning point according to the fuel cell vehicle insulation resistance value and a change of the shell grounding position; comparing the fuel cell insulation monitoring resistance value and the insulation reference resistance value, and determining a target fault according to a comparison result and the insulation fault positioning point.

6. A fuel cell insulation resistance value determining apparatus characterized by comprising: The fuel cell insulation resistance value determination device includes: an obtaining module, configured to obtain a battery system architecture and battery performance parameters of a fuel cell system, the battery system architecture including a battery system hardware connection architecture, a water-heat system pipeline architecture and a metal piece connection architecture, and the battery performance parameters including standard performance parameters and correction reference parameters; a model establishing module, configured to perform resistance equivalent modeling according to the battery system hardware connection architecture, the water-heat system pipeline architecture and the metal piece connection architecture to obtain a fuel cell system model; specifically, performing hardware resistance equivalent modeling according to the battery system hardware connection architecture to obtain a battery system hardware model; performing segmented resistance equivalent modeling based on a pipe diameter-pipe length parameter in the water-heat system pipeline architecture to obtain a water-heat system pipeline model; performing grounding resistance equivalent modeling according to a shell grounding position in the metal piece connection architecture to obtain a metal piece model; and determining the fuel cell system model based on the battery system hardware model, the water-heat system pipeline model and the metal piece model; a resistance value determining module, configured to determine an initial fuel cell insulation resistance value based on the standard performance parameters and the fuel cell system model; specifically, determining the initial fuel cell insulation resistance value based on the standard performance parameters and the fuel cell system model, including: performing first resistance value determination according to a battery system hardware conductivity-standard temperature parameter and the battery system hardware model to obtain a first insulation resistance value; performing second resistance value determination based on a coolant conductivity-standard temperature parameter, the water-heat system pipeline model and the metal piece model to obtain a second insulation resistance value; and taking the first insulation resistance value and the second insulation resistance value as the initial fuel cell insulation resistance value; wherein the standard performance parameters include the battery system hardware conductivity-standard temperature parameter and the coolant conductivity-standard temperature parameter; The correction module is configured to correct the initial fuel cell insulation resistance value according to the correction reference parameter to obtain a corrected fuel cell insulation resistance value, so as to perform insulation optimization or insulation fault positioning according to the corrected fuel cell insulation resistance value, wherein the correction reference parameter comprises a target temperature, a coolant temperature coefficient and a pipe deformation value.

7. An electronic device, comprising: The electronic device includes: one or more processors; a storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the fuel cell insulation resistance value determination method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, A computer program is stored thereon, which, when executed by a processor of a computer, causes the computer to perform the fuel cell insulation resistance value determination method according to any one of claims 1 to 5.

Citation Information

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