Vehicle hydrogen concentration monitoring position optimization method, device, equipment, medium and product
By constructing a hydrogen concentration sensor matrix and using a multi-objective optimization algorithm, the arrangement of hydrogen concentration sensors in fuel cell vehicles was optimized, solving the problems of incomplete monitoring and unstable response caused by sensor reliance on experience, and achieving rapid full-coverage monitoring under conditions where the number of sensors is limited.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CATARC NEW ENERGY VEHICLE TEST CENT (TIANJIN) CO LTD
- Filing Date
- 2026-06-10
- Publication Date
- 2026-07-10
AI Technical Summary
The placement of hydrogen concentration sensors in fuel cell vehicles relies on experience, resulting in incomplete monitoring coverage and unstable response, making it difficult to achieve full coverage and rapid response when the number of sensors is limited.
A hydrogen concentration sensor matrix was constructed. Sensor data was collected by simulating hydrogen leakage tests at different leakage locations and flow rates. A three-dimensional data matrix was constructed, and a multi-objective optimization algorithm was used to screen the optimal sensor combination and optimize the sensor layout scheme.
Under the constraint of the number of sensors, the fastest full-coverage monitoring of critical leakage conditions was achieved, improving the response speed and coverage of hydrogen leakage.
Smart Images
Figure CN122364795A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of vehicle technology, and in particular to a method, apparatus, equipment, medium and product for optimizing the location of vehicle hydrogen concentration monitoring. Background Technology
[0002] With the rapid development of fuel cell vehicles, the integration of on-board hydrogen systems in vehicles is constantly improving. Under operating, parking, and accident conditions, fuel cell vehicles have potential failure risks in on-board high-pressure hydrogen pipelines, valves, connectors, and the internal components of the fuel cell system, which may lead to hydrogen leakage.
[0003] Hydrogen gas has characteristics such as small molecular weight, high diffusion coefficient, low ignition energy, and wide explosive limits. Once a leak occurs, it can easily spread and accumulate rapidly within the vehicle's local space, potentially leading to combustion or explosion. Therefore, fuel cell vehicles typically use hydrogen concentration sensors to monitor hydrogen leaks in real time.
[0004] Currently, fuel cell vehicles typically deploy a limited number of hydrogen concentration sensors in a limited number of locations within critical areas of the vehicle to monitor hydrogen leaks. Sensor placement schemes largely rely on engineering experience or standard recommendations, such as on the roof, near hydrogen tanks, or inside the fuel cell compartment. However, traditional hydrogen concentration sensor placement methods have the following main problems: (1) Incomplete monitoring coverage: The diffusion path and concentration change pattern of hydrogen in different spaces of the vehicle after leakage are closely related to the leakage location, leakage flow rate and vehicle structure. Under different leakage locations and different leakage flow rates, the hydrogen diffusion path and accumulation location are significantly different. When the leakage occurs near a non-preset monitoring point, or when the leakage direction or airflow disturbance causes the hydrogen diffusion path to deviate from the expected path, a single or a small number of sensors may not be able to respond in time, resulting in alarm delay. There are obvious monitoring blind spots under some leakage conditions. (2) Unstable response time: Under different leakage locations and different leakage flow rates, the response time of each hydrogen concentration sensor varies greatly. Under some leakage conditions, hydrogen may accumulate in areas not covered by the sensor, resulting in alarm delay. (3) Limited number and cost of sensors: Due to limitations in cost, layout space and system complexity, it is difficult to improve the safety of the whole vehicle by simply increasing the number of sensors; (4) Lack of basis for sensor layout: The selection of sensor location relies on qualitative analysis and historical experience. There is a lack of a sensor layout evaluation and optimization method. It is impossible to quantitatively determine the sensor combination with the highest monitoring efficiency under different leakage locations and leakage flow combinations. It is difficult to evaluate the monitoring effectiveness of the best sensor layout scheme under the "most unfavorable leakage conditions".
[0005] Therefore, there is an urgent need for a method to optimize the monitoring location of hydrogen concentration sensors for fuel cell vehicles. This method should be able to quantitatively compare and analyze different sensor placement schemes based on different leakage sources and leakage flow rates. Under the premise of using the fewest hydrogen concentration sensors, it should systematically select the sensor location combination with the most comprehensive coverage, fastest response, and strongest robustness, so as to achieve the safety goal of at least one or more sensors responding stably within a limited time under any easy leakage point and any leakage flow rate. Summary of the Invention
[0006] This application provides a method, apparatus, equipment, medium, and product for optimizing the location of vehicle hydrogen concentration monitoring, in order to solve the problems of hydrogen concentration sensor placement relying on experience, incomplete monitoring coverage, and unstable response in related technologies, and to achieve the fastest full coverage monitoring of key leakage conditions under the constraint of the number of sensors.
[0007] The first aspect of this application provides a method for optimizing the location of vehicle hydrogen concentration monitoring, including the following steps: Multiple hydrogen concentration sensors are deployed in the target area of the current vehicle to construct a hydrogen concentration sensor matrix, and a set of hydrogen leakage test conditions with different combinations of leakage locations and leakage flow rates is constructed. A hydrogen leakage diffusion test is performed on each leakage condition in the set of hydrogen leakage test conditions, and test data on the change of hydrogen concentration over time for each hydrogen concentration sensor in the hydrogen concentration sensor matrix are collected simultaneously. The test data is processed according to the preset hydrogen concentration alarm threshold to obtain the response time of each hydrogen concentration sensor under each leakage condition, and a target three-dimensional data matrix is constructed based on the response time results of each hydrogen concentration sensor under each leakage condition. Under the preset sensor quantity constraint, based on the target three-dimensional data matrix, the monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix is evaluated. Based on the monitoring efficiency evaluation results of each hydrogen concentration sensor combination, the optimal sensor combination is selected through a preset multi-objective optimization algorithm to obtain the target hydrogen concentration sensor arrangement scheme.
[0008] According to one embodiment of this application, the step of processing the test data according to a preset hydrogen concentration alarm threshold to obtain the response time of each hydrogen concentration sensor under each leakage condition includes: Determine whether, within a preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition reaches the hydrogen concentration alarm threshold for the first time. If, within a preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition reaches the hydrogen concentration alarm threshold for the first time, the difference between the first time it reaches the threshold and the time when the leakage begins will be used as the response time of the hydrogen concentration sensor under the leakage condition. If, within the preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition does not reach the hydrogen concentration alarm threshold, then the response time of the hydrogen concentration sensor under that leakage condition is determined to be infinite.
[0009] According to one embodiment of this application, the step of evaluating the monitoring efficiency of a combination of multiple hydrogen concentration sensors in the hydrogen concentration sensor matrix based on the target three-dimensional data matrix includes: For any combination of hydrogen concentration sensors, based on the target three-dimensional data matrix, determine the hydrogen concentration sensor with the shortest response time in the combination of hydrogen concentration sensors under each leakage condition; The response time of the hydrogen concentration sensor with the shortest response time is taken as the effective response time of the hydrogen concentration sensor combination under the leakage condition. The maximum effective response time of the hydrogen concentration sensor combination under all leakage conditions is determined as the longest response time of the hydrogen concentration sensor combination, and this longest response time is determined as the monitoring efficiency evaluation index of the hydrogen concentration sensor combination.
[0010] According to one embodiment of this application, the step of selecting the optimal sensor combination based on the monitoring efficiency evaluation results of each hydrogen concentration sensor combination using a preset multi-objective optimization algorithm to obtain a target hydrogen concentration sensor arrangement scheme includes: A multi-objective optimization model is constructed with the objectives of minimizing the longest response time of the hydrogen concentration sensor combination and minimizing the number of hydrogen concentration sensor combinations. Under the preset sensor quantity constraint, the preset multi-objective optimization algorithm is used to iteratively optimize all combinations of hydrogen concentration sensors in the hydrogen concentration sensor matrix; The optimal sensor combination is determined by the combination of hydrogen concentration sensors that satisfies the requirement of covering all leakage conditions and having the longest response time. The spatial location information of the hydrogen concentration sensors corresponding to the optimal sensor combination is then output as the target hydrogen concentration sensor layout scheme.
[0011] According to one embodiment of this application, the construction of a set of hydrogen leakage test conditions consisting of different combinations of leakage locations and leakage flow rates includes: Identify potential hydrogen leak locations in the current vehicle, including at least one of the following: hydrogen storage tank valve port, pressure reducing valve, hydrogen supply line connector, fuel cell system hydrogen inlet / outlet, and ejector; Based on the potential hydrogen leak locations, a set of leak locations is constructed, and different levels of leak flow rate are set as a set of leak flow rates; The set of hydrogen leakage test conditions is obtained by combining each leakage location in the set of leakage locations with each leakage flow rate in the set of leakage flow rates.
[0012] According to one embodiment of this application, constructing the target three-dimensional data matrix includes: The numbers of all hydrogen concentration sensors in the hydrogen concentration sensor matrix are used as the first dimension data; The combined identifier of all leakage conditions in the hydrogen leakage test condition set is used as the second dimension data; The response time of each hydrogen concentration sensor under each leakage condition is used as the third dimension data. The target three-dimensional data matrix is obtained based on the first dimension data, the second dimension data, and the third dimension data.
[0013] According to the vehicle hydrogen concentration monitoring location optimization method provided in this application, a hydrogen concentration sensor matrix and a set of hydrogen leakage test conditions are constructed. A hydrogen leakage diffusion test is performed for each leakage condition, and test data from each hydrogen concentration sensor is collected simultaneously. Based on a preset hydrogen concentration alarm threshold, the response time of each hydrogen concentration sensor under each leakage condition is obtained, and a target three-dimensional data matrix is constructed. The monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix is evaluated. An optimal sensor combination is selected using a preset multi-objective optimization algorithm, resulting in a target hydrogen concentration sensor layout scheme. This solves the problems of hydrogen concentration sensor layout relying on experience, incomplete monitoring coverage, and unstable response in related technologies, achieving the fastest full-coverage monitoring of key leakage conditions under sensor quantity constraints.
[0014] A second aspect of this application provides a vehicle hydrogen concentration monitoring location optimization device, comprising: The module is used to deploy multiple hydrogen concentration sensors in the target area of the current vehicle, build a hydrogen concentration sensor matrix, and build a set of hydrogen leakage test conditions with different combinations of leakage locations and leakage flow rates. The test module is used to perform hydrogen leakage diffusion tests on each leakage condition in the set of hydrogen leakage test conditions, and simultaneously collect test data on the change of hydrogen concentration over time from each hydrogen concentration sensor in the hydrogen concentration sensor matrix. The processing module is used to process the test data according to the preset hydrogen concentration alarm threshold, obtain the response time of each hydrogen concentration sensor under each leakage condition, and construct a target three-dimensional data matrix based on the response time results of each hydrogen concentration sensor under each leakage condition. The optimization module is used to evaluate the monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix based on the target three-dimensional data matrix under a preset sensor quantity constraint, and to select the optimal sensor combination through a preset multi-objective optimization algorithm based on the monitoring efficiency evaluation results of each hydrogen concentration sensor combination, thereby obtaining the target hydrogen concentration sensor arrangement scheme.
[0015] According to one embodiment of this application, the processing module is configured to: Determine whether, within a preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition reaches the hydrogen concentration alarm threshold for the first time. If, within a preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition reaches the hydrogen concentration alarm threshold for the first time, the difference between the first time it reaches the threshold and the time when the leakage begins will be used as the response time of the hydrogen concentration sensor under the leakage condition. If, within the preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition does not reach the hydrogen concentration alarm threshold, then the response time of the hydrogen concentration sensor under that leakage condition is determined to be infinite.
[0016] According to one embodiment of this application, the optimization module is used for: For any combination of hydrogen concentration sensors, based on the target three-dimensional data matrix, determine the hydrogen concentration sensor with the shortest response time in the combination of hydrogen concentration sensors under each leakage condition; The response time of the hydrogen concentration sensor with the shortest response time is taken as the effective response time of the hydrogen concentration sensor combination under the leakage condition. The maximum effective response time of the hydrogen concentration sensor combination under all leakage conditions is determined as the longest response time of the hydrogen concentration sensor combination, and this longest response time is determined as the monitoring efficiency evaluation index of the hydrogen concentration sensor combination.
[0017] According to one embodiment of this application, the optimization module is used for: A multi-objective optimization model is constructed with the objectives of minimizing the longest response time of the hydrogen concentration sensor combination and minimizing the number of hydrogen concentration sensor combinations. Under the preset sensor quantity constraint, the preset multi-objective optimization algorithm is used to iteratively optimize all combinations of hydrogen concentration sensors in the hydrogen concentration sensor matrix; The optimal sensor combination is determined by the combination of hydrogen concentration sensors that satisfies the requirement of covering all leakage conditions and having the longest response time. The spatial location information of the hydrogen concentration sensors corresponding to the optimal sensor combination is then output as the target hydrogen concentration sensor layout scheme.
[0018] According to one embodiment of this application, the construction module is configured to: Identify potential hydrogen leak locations in the current vehicle, including at least one of the following: hydrogen storage tank valve port, pressure reducing valve, hydrogen supply line connector, fuel cell system hydrogen inlet / outlet, and ejector; Based on the potential hydrogen leak locations, a set of leak locations is constructed, and different levels of leak flow rate are set as a set of leak flow rates; The set of hydrogen leakage test conditions is obtained by combining each leakage location in the set of leakage locations with each leakage flow rate in the set of leakage flow rates.
[0019] According to one embodiment of this application, the processing module is configured to: The numbers of all hydrogen concentration sensors in the hydrogen concentration sensor matrix are used as the first dimension data; The combined identifier of all leakage conditions in the hydrogen leakage test condition set is used as the second dimension data; The response time of each hydrogen concentration sensor under each leakage condition is used as the third dimension data. The target three-dimensional data matrix is obtained based on the first dimension data, the second dimension data, and the third dimension data.
[0020] According to the vehicle hydrogen concentration monitoring location optimization device provided in this application embodiment, a hydrogen concentration sensor matrix and a set of hydrogen leakage test conditions are constructed. A hydrogen leakage diffusion test is performed for each leakage condition, and test data from each hydrogen concentration sensor is collected simultaneously. Based on a preset hydrogen concentration alarm threshold, the response time of each hydrogen concentration sensor under each leakage condition is obtained, and a target three-dimensional data matrix is constructed. The monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix is evaluated. An optimal sensor combination is selected through a preset multi-objective optimization algorithm, resulting in a target hydrogen concentration sensor layout scheme. This solves the problems of hydrogen concentration sensor layout relying on experience, incomplete monitoring coverage, and unstable response in related technologies, achieving the fastest full-coverage monitoring of key leakage conditions under sensor quantity constraints.
[0021] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle hydrogen concentration monitoring location optimization method as described in the above embodiments.
[0022] A fourth aspect of this application provides a computer-readable storage medium storing computer instructions for causing the computer to perform the vehicle hydrogen concentration monitoring location optimization method as described in the above embodiments.
[0023] A fifth aspect of this application provides a computer program product, including a computer program that, when executed by a processor, implements the vehicle hydrogen concentration monitoring location optimization method as described in the above embodiments.
[0024] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description
[0025] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of a method for optimizing the location of vehicle hydrogen concentration monitoring according to an embodiment of this application; Figure 2 This is an example diagram of a hydrogen concentration sensor matrix arrangement according to an embodiment of this application; Figure 3 This is a schematic diagram showing the hydrogen concentration detection values of hydrogen concentration sensors at different locations under different operating conditions according to an embodiment of this application; Figure 4 This is a flowchart of a vehicle hydrogen concentration monitoring location optimization method according to an embodiment of this application; Figure 5 This is a block diagram of a vehicle hydrogen concentration monitoring location optimization device according to an embodiment of this application; Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0026] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.
[0027] The following description, with reference to the accompanying drawings, outlines a method, apparatus, device, medium, and product for optimizing the hydrogen concentration monitoring location in vehicles according to embodiments of this application. Addressing the issues mentioned in the background art, such as incomplete monitoring coverage of hydrogen concentration sensors, unstable response times under different leakage conditions leading to slow hydrogen leakage detection, limitations in sensor quantity and cost requiring the use of as few sensors as possible, and a lack of clear guidelines for sensor placement, this invention proposes a method for optimizing the hydrogen concentration monitoring location of fuel cell vehicles based on a sensor matrix and hydrogen diffusion response analysis. This method constructs a sensor location matrix within the vehicle space, simulates various leakage conditions under different leakage locations and flow rate combinations, conducts real-vehicle hydrogen leakage diffusion tests, collects data on the time-varying hydrogen concentration at each monitoring point, obtains the spatiotemporal variation characteristics of hydrogen concentration under various typical leakage scenarios, and constructs a three-dimensional data matrix of "sensor-leakage condition-response time" through data post-processing. It then compares and analyzes the monitoring performance of different sensor combinations under various leakage conditions, and finally uses a multi-objective optimization algorithm to select the optimal sensor location combination arrangement scheme that can detect any preset leakage event with the fastest speed and highest coverage.
[0028] Specifically, Figure 1 This is a flowchart illustrating a method for optimizing the location of vehicle hydrogen concentration monitoring, as provided in an embodiment of this application.
[0029] like Figure 1 As shown, the method for optimizing the hydrogen concentration monitoring location of the vehicle includes the following steps: In step S101, multiple hydrogen concentration sensors are arranged in the target area of the current vehicle to construct a hydrogen concentration sensor matrix, and a set of hydrogen leakage test conditions consisting of different leakage locations and leakage flow rates is constructed.
[0030] Specifically, based on the vehicle's structural installability, this application embodiment arranges as many hydrogen concentration sensors as possible in a grid-like manner within the relevant spaces of the fuel cell vehicle (chassis area, front compartment, passenger compartment, etc.) to form a hydrogen concentration sensor matrix, so as to collect hydrogen concentration change information in different spatial locations of the vehicle as comprehensively as possible for subsequent response analysis.
[0031] For example, such as Figure 2 As shown, the layout area includes at least: different coordinate positions of the vehicle chassis in the lateral and longitudinal directions, the hydrogen storage tank valve and its surrounding area, the pressure reducing valve and the hydrogen supply pipeline along the line, the hydrogen inlet of the fuel cell system, the passenger compartment and other enclosed / semi-enclosed spaces where hydrogen is prone to accumulate.
[0032] Furthermore, a Cartesian rectangular coordinate system (O-XYZ) is established for the entire vehicle space, where, Origin point O: The intersection of the vehicle's front axle centerline and the longitudinal symmetry plane of the vehicle body; X: Vertical, with the front of the car pointing towards the rear; Y: Horizontal, with the driver's left side pointing to the right as positive; Z: Vertical, with the ground pointing towards the roof of the vehicle; Establish a set of candidate sensor installation locations: ; in, For the set of candidate sensor locations, For the i-th candidate position, Let i be the three-dimensional coordinates of the i-th point. It is a three-dimensional Euclidean space. The total number of candidate sensor locations (a positive integer).
[0033] In other words, this application embodiment determines the hydrogen concentration sensor matrix covering the key spaces of the vehicle, as well as the spatial location and numbering information of each hydrogen concentration sensor, based on the overall structure information of the fuel cell vehicle and the layout of the on-board hydrogen system (hydrogen storage tank, pressure reducing valve, hydrogen supply pipeline, hydrogen inlet of fuel cell system, etc.).
[0034] Furthermore, in some embodiments, a set of hydrogen leak test conditions is constructed, consisting of different combinations of leak locations and leak flow rates. This includes: identifying potential hydrogen leak locations in the current vehicle, where potential leak locations include at least one of the following: hydrogen storage tank valve port, pressure reducing valve, hydrogen supply line connector, hydrogen inlet / outlet of fuel cell system, and ejector; constructing a set of leak locations based on the potential hydrogen leak locations, and setting different levels of leak flow rates as a set of leak flow rates; and combining each leak location in the set of leak locations with each leak flow rate in the set of leak flow rates to obtain a set of hydrogen leak test conditions.
[0035] Specifically, this application embodiment, based on the hydrogen system structure of a fuel cell vehicle, systematically identifies potential hydrogen leakage locations throughout the vehicle, including but not limited to the locations of key components such as the high-pressure hydrogen storage tank valve, pressure reducing valve, vehicle hydrogen supply line connectors, fuel cell system hydrogen inlet and outlet, and ejector. These leakage locations are defined as a discrete leakage source set. ; in, For the collection of leakage sources, For the j-th leakage source, This represents the total number of leakage sources.
[0036] Without disrupting the vehicle's original hydrogen system structure, different hydrogen leakage conditions are simulated using an external hydrogen supply device and a mass flow control device. The test conditions include, but are not limited to: different leakage locations and different leakage flow rates. The aforementioned leakage flow rates are defined as a discrete set: ; in, For the set of leaked flows, For the k-th leakage flow rate, For the positive real number field, This refers to the number of traffic tiers.
[0037] The above combination of leakage conditions is defined as a set of discrete leakage conditions: .
[0038] in, This is a set of leakage conditions. For hydrogen leakage condition j,k, it means that the j-th leakage source is leaking at the k-th leakage flow rate.
[0039] In other words, the embodiments of this application determine the set of hydrogen leakage test conditions based on the set of potential hydrogen leakage locations and the preset hydrogen leakage flow rate. The combination of conditions includes factors such as leakage location and leakage flow rate.
[0040] In step S102, a hydrogen leakage diffusion test is performed on each leakage condition in the hydrogen leakage test condition set, and test data on the change of hydrogen concentration over time of each hydrogen concentration sensor in the hydrogen concentration sensor matrix are collected simultaneously.
[0041] Specifically, in this embodiment of the application, hydrogen leakage diffusion test is conducted based on the pre-set leakage location and leakage flow conditions and the constructed hydrogen concentration sensor matrix to obtain the original test data of hydrogen diffusion process of each sensor under each leakage condition, including the leakage condition and the hydrogen concentration value change curve of each sensor.
[0042] In detail, hydrogen is released under a set leakage condition to simulate the diffusion process after a hydrogen leak in a fuel cell vehicle. Simultaneously, a data acquisition system is activated to record the hydrogen concentration changes over time for each hydrogen concentration sensor in the sensor matrix, until the leak stops and the hydrogen concentration returns to a safe level. The recorded data includes: sensor number, leakage condition, and hydrogen concentration values for each hydrogen concentration sensor at different times. That is, the test data for a particular sensor in a given test can be represented as: ; in: :sensor Under working conditions The hydrogen concentration at time t. Indicates time.
[0043] In step S103, the test data is processed according to the preset hydrogen concentration alarm threshold to obtain the response time of each hydrogen concentration sensor under each leakage condition, and the target three-dimensional data matrix is constructed based on the response time results of each hydrogen concentration sensor under each leakage condition.
[0044] Furthermore, in some embodiments, the test data is processed according to a preset hydrogen concentration alarm threshold to obtain the response time of each hydrogen concentration sensor under each leakage condition. This includes: determining whether the test data of any hydrogen concentration sensor under any leakage condition reaches the hydrogen concentration alarm threshold for the first time within a preset monitoring time window; if the test data of any hydrogen concentration sensor under any leakage condition reaches the hydrogen concentration alarm threshold for the first time within the preset monitoring time window, the difference between the first time the threshold is reached and the time the leakage begins is taken as the response time of the hydrogen concentration sensor under the leakage condition; if the test data of any hydrogen concentration sensor under any leakage condition does not reach the hydrogen concentration alarm threshold within the preset monitoring time window, the response time of the hydrogen concentration sensor under the leakage condition is determined to be infinite.
[0045] Furthermore, in some embodiments, constructing a target three-dimensional data matrix includes: using the numbers of all hydrogen concentration sensors in the hydrogen concentration sensor matrix as the first dimension data; using the combination identifiers of all leakage conditions in the hydrogen leakage test condition set as the second dimension data; using the response time of each hydrogen concentration sensor under each leakage condition as the third dimension data; and obtaining the target three-dimensional data matrix based on the first dimension data, the second dimension data, and the third dimension data.
[0046] Specifically, in this application embodiment, the data collected under all test conditions are uniformly organized and post-processed, and a three-dimensional hydrogen concentration data matrix is constructed according to "sensor location number - combination of leakage location and flow rate - time when the preset alarm threshold is first reached".
[0047] For any leakage scenario, an alarm threshold based on the preset hydrogen concentration will be triggered. The diffusion and accumulation process of hydrogen within the vehicle space is calculated to obtain the first response time at each candidate sensor location. This time is used to characterize the effectiveness and response speed of the sensor under specific leakage conditions. The response time is defined as: ; in, For sensors Under working conditions The first response time.
[0048] Define the maximum allowed monitoring time window If within the specified time If the hydrogen concentration alarm threshold is not reached, the sensor's response time under that operating condition is considered to be infinite. The response time results of all sensors under all leakage conditions were compiled and organized to construct the following three-dimensional data matrix: ,in, The three-dimensional response time matrix has dimensions of number of sensors × number of leakage sources × number of flow levels. This three-dimensional data matrix is used to fully describe the monitoring capability of each candidate sensor under each leakage condition.
[0049] For example, the hydrogen concentration detection values of hydrogen concentration sensors at different locations under different operating conditions are as follows: Figure 3 As shown.
[0050] Based on the hydrogen concentration time series data of each sensor, leakage location and leakage flow condition information, hydrogen concentration three-dimensional data matrix, preset hydrogen concentration alarm threshold and evaluation rules, the time when hydrogen first reaches the preset alarm threshold is determined, and thus a three-dimensional data matrix characterizing the hydrogen concentration detection performance and response characteristics of different sensors under different leakage conditions is obtained.
[0051] In step S104, under the preset sensor quantity constraint, the monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix is evaluated based on the target three-dimensional data matrix. Based on the monitoring efficiency evaluation results of each hydrogen concentration sensor combination, the optimal sensor combination is selected through a preset multi-objective optimization algorithm to obtain the target hydrogen concentration sensor arrangement scheme.
[0052] Furthermore, in some embodiments, based on the target three-dimensional data matrix, the monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix is evaluated, including: for any hydrogen concentration sensor combination, based on the target three-dimensional data matrix, determining the hydrogen concentration sensor with the shortest response time in the hydrogen concentration sensor combination under each leakage condition; taking the response time of the hydrogen concentration sensor with the shortest response time as the effective response time of the hydrogen concentration sensor combination under the leakage condition; determining the maximum value of the effective response time of the hydrogen concentration sensor combination under all leakage conditions as the longest response time of the hydrogen concentration sensor combination, and determining the longest response time as the monitoring efficiency evaluation index of the hydrogen concentration sensor combination.
[0053] Furthermore, in some embodiments, based on the monitoring efficiency evaluation results of each hydrogen concentration sensor combination, the optimal sensor combination is selected through a preset multi-objective optimization algorithm to obtain a target hydrogen concentration sensor layout scheme. This includes: constructing a multi-objective optimization model with the objectives of minimizing the longest response time of the hydrogen concentration sensor combination and minimizing the number of hydrogen concentration sensor combinations; under the preset sensor number constraint, iteratively optimizing all hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix using the preset multi-objective optimization algorithm; determining the hydrogen concentration sensor combination that satisfies the requirement of covering all leakage conditions and having the shortest longest response time as the optimal sensor combination, and outputting the spatial location information of the hydrogen concentration sensors corresponding to the optimal sensor combination as the target hydrogen concentration sensor layout scheme.
[0054] Specifically, this application embodiment, under the condition of a limited number of sensors, selects several different sensor combinations from the sensor matrix, and compares and analyzes the monitoring indicators of each sensor and sensor combination based on the target three-dimensional data matrix to evaluate the comprehensive monitoring efficiency of each sensor combination under different leakage conditions. Based on the evaluation results, sensor combinations that can achieve rapid response under all or most leakage conditions are selected. The above multi-objective optimization problem is then solved using a heuristic multi-objective optimization algorithm (such as the Non-Dominated Sorting Genetic Algorithm with Elite Strategy (NSGA-II)), ultimately determining the optimal sensor combination arrangement scheme that can cover the maximum leakage risk range of the vehicle and has the fastest response while using the fewest hydrogen concentration sensors.
[0055] Within a given monitoring area, find an optimal sensor combination scheme. This scheme, while satisfying coverage (capable of monitoring all preset leakage conditions), pursues two optimization objectives: (1) Minimize the number of sensors to reduce costs.
[0056] (2) The maximum response time is the shortest, that is, under the most unfavorable leakage conditions, the earliest time to trigger an alarm in the sensor network is as fast as possible.
[0057] Given a limited number of sensors (e.g., a maximum of N sensors), when selecting sensor groups from the candidate location set, any given sensor combination must satisfy the following: ,and ,in, For the optimal set of sensor locations, The number of sensors within the combination. This represents the maximum allowed number of sensors.
[0058] Under any leakage condition, the response time of the sensor with the shorter response time in the sensor combination is defined as the effective response time of the sensor combination: .
[0059] Further define the longest response time of this sensor combination under all leakage conditions: .
[0060] By constructing coverage evaluation metrics, the sensor selection problem is transformed into a multi-objective optimization problem, which is then defined as the sensor deployment problem. (1) All leakage conditions must meet the requirement that the sensor reaches the hydrogen concentration alarm threshold; (2) Minimize the longest response time of the sensor under the most unfavorable operating conditions; (3) Minimize the number of sensors:
[0061] The constraints in a multi-objective optimization problem are:
[0062]
[0063]
[0064] Therefore, this embodiment of the application obtains the monitoring efficiency evaluation results of each individual sensor and each sensor combination based on the monitoring capability evaluation index of each sensor combination and the limited sensor quantity constraints, and then obtains the optimal hydrogen concentration sensor arrangement scheme.
[0065] This optimized design method ensures that all critical leakage risk areas are within the effective monitoring range of at least one sensor. It minimizes the required number of hydrogen concentration sensors while guaranteeing sufficient coverage of the hydrogen monitoring area in fuel cell vehicles, and also minimizes monitoring response time. This significantly improves the efficiency and effectiveness of hydrogen concentration sensors in monitoring hydrogen leaks throughout the vehicle. It provides a reproducible experimental method for the design and verification of hydrogen concentration sensor placement in fuel cell vehicles, enhances the robustness of the vehicle's hydrogen safety system to complex hydrogen leakage conditions, and provides quantitative technical support for the hydrogen safety design of fuel cell vehicles.
[0066] To facilitate a clearer understanding of the vehicle hydrogen concentration monitoring location optimization method of this application by those skilled in the art, the following is combined with... Figure 4 Please provide a detailed explanation.
[0067] like Figure 4 As shown, the method for optimizing the hydrogen concentration monitoring location of the vehicle includes the following steps: Step 1: Construct a vehicle hydrogen concentration sensor matrix: Arrange multiple hydrogen concentration sensors in different spatial locations of the fuel cell vehicle to form a sensor matrix covering key areas of the entire vehicle.
[0068] Step 2, set the test conditions for leakage location and leakage flow: Select multiple potential hydrogen leakage locations and set multiple leakage flow conditions for each leakage location to form a complete set of test conditions.
[0069] Step 3: Perform a hydrogen leak diffusion test: Release hydrogen under set operating conditions to simulate the real diffusion process after a hydrogen leak occurs in the vehicle.
[0070] Step 4: Collect hydrogen concentration data from each sensor over time: Collect hydrogen concentration data from each sensor in the sensor matrix simultaneously throughout the entire leakage process to form a complete time series.
[0071] Step 5: Construct a three-dimensional hydrogen concentration data matrix: Organize the collected data according to "sensor-leakage condition-hydrogen concentration / response characteristics" to form a three-dimensional data matrix for subsequent analysis.
[0072] Step 6: Calculate the monitoring efficiency indicators of each sensor and its combination: Based on the three-dimensional data matrix, calculate the monitoring efficiency indicators such as response time and coverage of each sensor and its combination under different operating conditions.
[0073] Step 7: Screening the optimal hydrogen concentration sensor layout scheme: Under the condition of a limited number of sensors, compare the monitoring efficiency of different sensor combinations to determine the optimal sensor layout scheme.
[0074] Therefore, this application can achieve at least the following beneficial effects: (1) Shift from experience-based layout to quantitative optimization: Through the analysis of three-dimensional data matrix from real vehicle hydrogen leakage tests and sensor matrix monitoring, the hydrogen concentration sensor layout problem is transformed from experience-driven to a system optimization problem based on multi-scenario analysis. Real hydrogen concentration evolution data are obtained through systematic hydrogen leakage diffusion tests, providing a quantitative basis for sensor layout optimization and enabling quantitative comparison and screening of different sensor combinations.
[0075] (2) Optimal safety coverage under limited number of sensors: Under the premise of using the fewest number of sensors, maximize the coverage of the monitoring area of fuel cell vehicles and minimize the monitoring response time to achieve efficient monitoring of hydrogen leakage of the whole vehicle.
[0076] (3) Highly robust to leakage location and leakage scale: The leakage conditions take into account the combination of different leakage sources and different leakage flow rates, and have good robustness to different leakage locations and different leakage flow rates. It covers any leakage location and leakage flow rate, and ensures that it still has the ability to monitor quickly under the most unfavorable conditions.
[0077] (4) Strong engineering feasibility: This method can directly guide the design of the hydrogen concentration sensor installation position in fuel cell vehicles and has clear engineering application value.
[0078] According to the vehicle hydrogen concentration monitoring location optimization method proposed in this application, a hydrogen concentration sensor matrix and a set of hydrogen leakage test conditions are constructed. Hydrogen leakage diffusion tests are performed for each leakage condition, and test data from each hydrogen concentration sensor are collected simultaneously. Based on a preset hydrogen concentration alarm threshold, the response time of each hydrogen concentration sensor under each leakage condition is obtained, and a target three-dimensional data matrix is constructed. The monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix is evaluated. An optimal sensor combination is selected using a preset multi-objective optimization algorithm, resulting in a target hydrogen concentration sensor layout scheme. This solves the problems of hydrogen concentration sensor layout relying on experience, incomplete monitoring coverage, and unstable response in related technologies, achieving the fastest full-coverage monitoring of key leakage conditions under sensor quantity constraints.
[0079] Next, the vehicle hydrogen concentration monitoring location optimization device according to the embodiments of this application is described with reference to the accompanying drawings.
[0080] Figure 5 This is a block diagram of a vehicle hydrogen concentration monitoring location optimization device according to an embodiment of this application.
[0081] like Figure 5 As shown, the vehicle hydrogen concentration monitoring location optimization device 10 includes: a construction module 100, a test module 200, a processing module 300, and an optimization module 400.
[0082] The system comprises the following modules: A construction module 100 is used to deploy multiple hydrogen concentration sensors in the target area of the current vehicle, construct a hydrogen concentration sensor matrix, and build a set of hydrogen leakage test conditions consisting of different leakage locations and leakage flow rates; a test module 200 is used to perform hydrogen leakage diffusion tests on each leakage condition in the set of hydrogen leakage test conditions, and simultaneously collect test data on the change of hydrogen concentration over time for each hydrogen concentration sensor in the hydrogen concentration sensor matrix; a processing module 300 is used to process the test data according to a preset hydrogen concentration alarm threshold, obtain the response time of each hydrogen concentration sensor under each leakage condition, and construct a target three-dimensional data matrix based on the response time results of each hydrogen concentration sensor under each leakage condition; and an optimization module 400 is used to evaluate the monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix based on the target three-dimensional data matrix under a preset sensor quantity constraint, and select the optimal sensor combination through a preset multi-objective optimization algorithm based on the monitoring efficiency evaluation results of each hydrogen concentration sensor combination, thereby obtaining the target hydrogen concentration sensor layout scheme.
[0083] Furthermore, in some embodiments, the processing module 300 is configured to: determine whether, within a preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition reaches the hydrogen concentration alarm threshold for the first time; if, within the preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition reaches the hydrogen concentration alarm threshold for the first time, the difference between the first time the threshold is reached and the time the leakage begins is taken as the response time of the hydrogen concentration sensor under the leakage condition; if, within the preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition does not reach the hydrogen concentration alarm threshold, the response time of the hydrogen concentration sensor under the leakage condition is determined to be infinite.
[0084] Furthermore, in some embodiments, the optimization module 400 is configured to: for any hydrogen concentration sensor combination, based on a target three-dimensional data matrix, determine the hydrogen concentration sensor with the shortest response time in the hydrogen concentration sensor combination under each leakage condition; take the response time of the hydrogen concentration sensor with the shortest response time as the effective response time of the hydrogen concentration sensor combination under the leakage condition; determine the maximum value of the effective response time of the hydrogen concentration sensor combination under all leakage conditions as the longest response time of the hydrogen concentration sensor combination, and determine the longest response time as the monitoring efficiency evaluation index of the hydrogen concentration sensor combination.
[0085] Furthermore, in some embodiments, the optimization module 400 is used to: construct a multi-objective optimization model with the objectives of minimizing the longest response time of the hydrogen concentration sensor combination and minimizing the number of hydrogen concentration sensor combinations; under the preset sensor number constraint, iteratively optimize all hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix using a preset multi-objective optimization algorithm; determine the hydrogen concentration sensor combination that satisfies all leakage conditions and has the shortest longest response time as the optimal sensor combination, and output the spatial location information of the hydrogen concentration sensor corresponding to the optimal sensor combination as the target hydrogen concentration sensor layout scheme.
[0086] Furthermore, in some embodiments, the construction module 100 is used to: identify potential hydrogen leak locations in the current vehicle, the potential hydrogen leak locations including at least one of the following: hydrogen storage cylinder valve port, pressure reducing valve, hydrogen supply pipeline connector, hydrogen inlet and outlet of fuel cell system, and ejector; construct a set of leak locations based on the potential hydrogen leak locations, and set different levels of leak flow rates as a set of leak flow rates; combine each leak location in the set of leak locations with each leak flow rate in the set of leak flow rates to obtain a set of hydrogen leak test conditions.
[0087] Furthermore, in some embodiments, the processing module 300 is used to: use the number of all hydrogen concentration sensors in the hydrogen concentration sensor matrix as the first dimension data; use the combination identifier of all leakage conditions in the hydrogen leakage test condition set as the second dimension data; use the response time of each hydrogen concentration sensor under each leakage condition as the third dimension data; and obtain a target three-dimensional data matrix based on the first dimension data, the second dimension data, and the third dimension data.
[0088] It should be noted that the foregoing explanation of the vehicle hydrogen concentration monitoring location optimization method embodiment also applies to the vehicle hydrogen concentration monitoring location optimization device of this embodiment, and will not be repeated here.
[0089] According to the vehicle hydrogen concentration monitoring location optimization device proposed in this application, a hydrogen concentration sensor matrix and a set of hydrogen leakage test conditions are constructed. Hydrogen leakage diffusion tests are performed for each leakage condition, and test data from each hydrogen concentration sensor are collected simultaneously. Based on a preset hydrogen concentration alarm threshold, the response time of each hydrogen concentration sensor under each leakage condition is obtained, and a target three-dimensional data matrix is constructed. The monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix is evaluated. An optimal sensor combination is selected using a preset multi-objective optimization algorithm, resulting in a target hydrogen concentration sensor layout scheme. This solves the problems of hydrogen concentration sensor layout relying on experience, incomplete monitoring coverage, and unstable response in related technologies, achieving the fastest full-coverage monitoring of key leakage conditions under sensor quantity constraints.
[0090] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 601, the processor 602, and the computer program stored on the memory 601 and capable of running on the processor 602.
[0091] When the processor 602 executes the program, it implements the vehicle hydrogen concentration monitoring location optimization method provided in the above embodiments.
[0092] Furthermore, electronic devices also include: Communication interface 603 is used for communication between memory 601 and processor 602.
[0093] The memory 601 is used to store computer programs that can run on the processor 602.
[0094] The memory 601 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.
[0095] If the memory 601, processor 602, and communication interface 603 are implemented independently, then the communication interface 603, memory 601, and processor 602 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 6 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.
[0096] Optionally, in a specific implementation, if the memory 601, processor 602, and communication interface 603 are integrated on a single chip, then the memory 601, processor 602, and communication interface 603 can communicate with each other through an internal interface.
[0097] The processor 602 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.
[0098] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described vehicle hydrogen concentration monitoring location optimization method.
[0099] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described vehicle hydrogen concentration monitoring location optimization method.
[0100] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0101] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0102] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.
[0103] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.
[0104] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0105] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
[0106] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
[0107] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.
Claims
1. A method for optimizing the location of vehicle hydrogen concentration monitoring, characterized in that, Includes the following steps: Multiple hydrogen concentration sensors are deployed in the target area of the current vehicle to construct a hydrogen concentration sensor matrix, and a set of hydrogen leakage test conditions with different combinations of leakage locations and leakage flow rates is constructed. A hydrogen leakage diffusion test is performed on each leakage condition in the set of hydrogen leakage test conditions, and test data on the change of hydrogen concentration over time for each hydrogen concentration sensor in the hydrogen concentration sensor matrix are collected simultaneously. The test data is processed according to the preset hydrogen concentration alarm threshold to obtain the response time of each hydrogen concentration sensor under each leakage condition, and a target three-dimensional data matrix is constructed based on the response time results of each hydrogen concentration sensor under each leakage condition. Under the preset sensor quantity constraint, based on the target three-dimensional data matrix, the monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix is evaluated. Based on the monitoring efficiency evaluation results of each hydrogen concentration sensor combination, the optimal sensor combination is selected through a preset multi-objective optimization algorithm to obtain the target hydrogen concentration sensor arrangement scheme.
2. The method according to claim 1, characterized in that, The process of processing the test data according to a preset hydrogen concentration alarm threshold to obtain the response time of each hydrogen concentration sensor under each leakage condition includes: Determine whether, within a preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition reaches the hydrogen concentration alarm threshold for the first time. If, within a preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition reaches the hydrogen concentration alarm threshold for the first time, the difference between the first time it reaches the threshold and the time when the leakage begins will be used as the response time of the hydrogen concentration sensor under the leakage condition. If, within the preset monitoring time window, the test data of any hydrogen concentration sensor under any leakage condition does not reach the hydrogen concentration alarm threshold, then the response time of the hydrogen concentration sensor under that leakage condition is determined to be infinite.
3. The method according to claim 1, characterized in that, The step of evaluating the monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix based on the target three-dimensional data matrix includes: For any combination of hydrogen concentration sensors, based on the target three-dimensional data matrix, determine the hydrogen concentration sensor with the shortest response time in the combination of hydrogen concentration sensors under each leakage condition; The response time of the hydrogen concentration sensor with the shortest response time is taken as the effective response time of the hydrogen concentration sensor combination under the leakage condition. The maximum effective response time of the hydrogen concentration sensor combination under all leakage conditions is determined as the longest response time of the hydrogen concentration sensor combination, and this longest response time is determined as the monitoring efficiency evaluation index of the hydrogen concentration sensor combination.
4. The method according to claim 1, characterized in that, The optimal sensor combination is selected based on the monitoring efficiency evaluation results of each hydrogen concentration sensor combination using a preset multi-objective optimization algorithm, resulting in a target hydrogen concentration sensor arrangement scheme, including: A multi-objective optimization model is constructed with the objectives of minimizing the longest response time of the hydrogen concentration sensor combination and minimizing the number of hydrogen concentration sensor combinations. Under the preset sensor quantity constraint, the preset multi-objective optimization algorithm is used to iteratively optimize all combinations of hydrogen concentration sensors in the hydrogen concentration sensor matrix; The optimal sensor combination is determined by the combination of hydrogen concentration sensors that satisfies the requirement of covering all leakage conditions and having the longest response time. The spatial location information of the hydrogen concentration sensors corresponding to the optimal sensor combination is then output as the target hydrogen concentration sensor layout scheme.
5. The method according to claim 1, characterized in that, The set of hydrogen leakage test conditions, which consists of different combinations of leakage locations and leakage flow rates, includes: Identify potential hydrogen leak locations in the current vehicle, including at least one of the following: hydrogen storage tank valve port, pressure reducing valve, hydrogen supply line connector, fuel cell system hydrogen inlet / outlet, and ejector; Based on the potential hydrogen leak locations, a set of leak locations is constructed, and different levels of leak flow rate are set as a set of leak flow rates; The set of hydrogen leakage test conditions is obtained by combining each leakage location in the set of leakage locations with each leakage flow rate in the set of leakage flow rates.
6. The method according to claim 1, characterized in that, The construction of the target three-dimensional data matrix includes: The numbers of all hydrogen concentration sensors in the hydrogen concentration sensor matrix are used as the first dimension data; The combined identifier of all leakage conditions in the hydrogen leakage test condition set is used as the second dimension data; The response time of each hydrogen concentration sensor under each leakage condition is used as the third dimension data. The target three-dimensional data matrix is obtained based on the first dimension data, the second dimension data, and the third dimension data.
7. A vehicle hydrogen concentration monitoring location optimization device, characterized in that, include: The module is used to deploy multiple hydrogen concentration sensors in the target area of the current vehicle, build a hydrogen concentration sensor matrix, and build a set of hydrogen leakage test conditions with different combinations of leakage locations and leakage flow rates. The test module is used to perform hydrogen leakage diffusion tests on each leakage condition in the set of hydrogen leakage test conditions, and simultaneously collect test data on the change of hydrogen concentration over time from each hydrogen concentration sensor in the hydrogen concentration sensor matrix. The processing module is used to process the test data according to the preset hydrogen concentration alarm threshold, obtain the response time of each hydrogen concentration sensor under each leakage condition, and construct a target three-dimensional data matrix based on the response time results of each hydrogen concentration sensor under each leakage condition. The optimization module is used to evaluate the monitoring efficiency of multiple hydrogen concentration sensor combinations in the hydrogen concentration sensor matrix based on the target three-dimensional data matrix under a preset sensor quantity constraint, and to select the optimal sensor combination through a preset multi-objective optimization algorithm based on the monitoring efficiency evaluation results of each hydrogen concentration sensor combination, thereby obtaining the target hydrogen concentration sensor arrangement scheme.
8. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and capable of running on the processor, the processor executing the computer program to implement the vehicle hydrogen concentration monitoring location optimization method as described in any one of claims 1-6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program is executed by a processor to implement the vehicle hydrogen concentration monitoring location optimization method as described in any one of claims 1-6.
10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the vehicle hydrogen concentration monitoring location optimization method as described in any one of claims 1-6.