Method for quickly writing and calibrating codes of oil injection nozzle
By establishing a database through the OBD tool interface and utilizing intelligent matching algorithms, the status of fuel injectors is monitored in real time, and the writing and calibration of fuel injector codes are optimized. This solves the problem of intelligent fuel injector selection and replacement, and improves vehicle performance and fuel efficiency.
Patent Information
- Application Number
- CN202511056579.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-30
- Publication Date
- 2025-11-18
AI Technical Summary
Existing methods for writing and calibrating fuel injector codes lack intelligent decision support. The selection and replacement of fuel injectors are not optimized based on the vehicle's age and compatibility. Incompatibility differences lead to inaccurate matching, delayed information updates, and low calibration accuracy, which affects the overall performance of the vehicle.
By identifying the coding information of automotive fuel injectors based on the OBD tool interface, an adaptable database is established, the working status of fuel injectors is monitored in real time, and the coding writing and calibration decisions are optimized using weighted Mahalanobis distance and support vector machine prediction models to ensure efficient matching and compatibility between fuel injectors and ECUs.
It achieves high efficiency and compatibility of the fuel injection system, improves vehicle performance and fuel efficiency, ensures that the fuel injector parameters are maintained within the optimal range, and reduces maintenance costs.
Smart Images
Figure CN120968931A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of fuel nozzle code writing, in particular to a fuel nozzle code rapid writing and calibration method. BACKGROUND
[0002] The existing fuel nozzle code writing and calibration method has several problems: first, there is a lack of intelligent decision support, and the selection and replacement of fuel nozzles are not optimized according to the service life and compatibility of the vehicle; second, compatibility differences lead to inaccurate matching between fuel nozzles and ECUs; in addition, information updates are lagging behind, and fuel nozzle parameters cannot be adjusted in real time; finally, the calibration accuracy is not high, and it is difficult to finely optimize the performance of the fuel nozzle, affecting the overall performance of the vehicle. SUMMARY
[0003] To solve the above technical problems, a fuel nozzle code rapid writing and calibration method is provided, which solves the problems of first, lack of intelligent decision support, and selection and replacement of fuel nozzles not optimized according to the service life and compatibility of the vehicle; second, compatibility differences leading to inaccurate matching between fuel nozzles and ECUs; in addition, information updates are lagging behind, and fuel nozzle parameters cannot be adjusted in real time; finally, the calibration accuracy is not high, and it is difficult to finely optimize the performance of the fuel nozzle, affecting the overall performance of the vehicle.
[0004] To achieve the above purposes, the technical scheme adopted by the present application is: A fuel nozzle code rapid writing and calibration method, comprising: Based on the OBD tool interface, identify the automobile computer version fuel nozzle code information, establish an adaptable automobile fuel nozzle code database; according to the obtained vehicle information and automobile fuel nozzle model and adaptable automobile fuel nozzle code database, generate a to-be-selected automobile fuel nozzle code database; Real-time monitoring of automobile history fuel nozzle code automobile fuel nozzle working state data, analyzing whether the automobile fuel nozzle working state data is in the optimal interval, if yes, determining not to overwrite the automobile fuel nozzle code data, if not, determining to overwrite the automobile fuel nozzle code data; If it is determined to overwrite the automobile fuel nozzle code data, according to the analysis and replacement of the automobile fuel nozzle according to the service life of the automobile, a automobile code overwrite task is established for the to-be-selected automobile fuel nozzle code database, and a fuel nozzle code writing and calibration decision task is generated.
[0005] Preferably, according to the ECU electronic control unit sends a diagnosis request, responds to the frame analysis to extract device information data, detects whether the ECU electronic control unit is encrypted, if yes, uses "seed request" to obtain random seed, uses hash algorithm to calculate the key of random seed, submits the key to complete the security access, if no, directly access; Based on the ECU electronic control unit security access, the OBD tool interface is used to identify the automobile computer version fuel nozzle coding information, the automobile computer version fuel nozzle coding information parameter characteristics are extracted, and the automobile fuel nozzle coding database is established.
[0006] Preferably, based on the vehicle information obtained by the OBD tool interface, the data characteristics are normalized to obtain standardized vehicle characteristics, and the vehicle standardized feature vector is extracted. According to the automobile fuel nozzle model, the automobile fuel nozzle data parameters are obtained, the constraint filtering condition is set, and the automobile fuel nozzle parameter matrix is generated. According to the extracted vehicle standardized feature vector and the automobile fuel nozzle parameter matrix, the automobile fuel nozzle filtering hard condition is limited, and the vehicle-automobile fuel nozzle Boolean matching matrix is generated.
[0007] Preferably, based on the vehicle-automobile fuel nozzle Boolean matching matrix, the weighted Mahalanobis distance is used to calculate the similarity between the vehicle standardized feature vector and the automobile fuel nozzle parameter, and the vehicle-automobile fuel nozzle similarity matrix is generated. Based on the vehicle standardized feature vector and the generated vehicle-automobile fuel nozzle similarity matrix, the automobile fuel nozzle with high matching degree is preferentially paired, the linear programming algorithm is used, and the flow meets the inventory limit as the constraint condition to generate the automobile fuel nozzle coding database to be selected.
[0008] Preferably, based on the OBD tool interface, the real-time working parameters of the automobile fuel nozzle are obtained, the real-time working parameters of the automobile fuel nozzle are subjected to Z-score standardization processing, and the automobile fuel nozzle standardized real-time working parameters are obtained. As further content, the real-time working parameters of the automobile fuel nozzle include: fuel injection amount, fuel injection time, air-fuel ratio and engine load. Based on the automobile fuel nozzle standardized real-time working parameters, the automobile fuel nozzle parameter allowable fluctuation range is obtained, and the automobile fuel nozzle working state optimal interval judgment threshold is established.
[0009] Preferably, based on the automobile fuel nozzle working state optimal interval judgment threshold, the deviation between the real-time working parameters of the automobile fuel nozzle and the standard value is calculated and normalized, and the weighted Euclidean distance algorithm is used to obtain the automobile fuel nozzle working state deviation degree. Based on the working state deviation of the automobile fuel nozzle and the automobile fuel nozzle working state data under the historical automobile fuel nozzle code, a Gaussian radial basis function is selected, the data is mapped to a higher dimensional space through RBF, the optimal hyperplane is found by using the optimization algorithm, the classification interval is maximized, the SVM support vector machine is trained, the automobile fuel nozzle working state prediction model is established, the future working state of the automobile fuel nozzle is predicted, and whether the automobile fuel nozzle working state data is in the optimal interval is analyzed.
[0010] Preferably, based on the analysis of the service life of the automobile, the fuel nozzle type in the automobile fuel nozzle code database to be selected is screened, and the fuel nozzle type suitable for the service life of the current vehicle is retained. Based on the replacement automobile fuel nozzle, the fuel nozzle type in the automobile fuel nozzle code database to be selected is prioritized in the ECU electronic control unit compatibility list, and the fuel nozzle type with the highest compatibility with the ECU electronic control unit is preferentially selected.
[0011] Preferably, the segmented linear function is used to combine the analysis of the service life of the automobile and the replacement automobile fuel nozzle to establish the service life analysis and replacement automobile fuel nozzle weight distribution model of the automobile, calculate the weight coefficient of each automobile fuel nozzle type, establish the automobile code overwrite task, and generate the fuel nozzle code writing calibration decision task.
[0012] Further, a fuel nozzle code rapid writing and calibration system is used to realize the above-mentioned fuel nozzle code rapid writing and calibration method, which comprises: The adaptable automobile fuel nozzle code database module is used to identify the automobile computer version fuel nozzle code information based on the OBD tool interface, and establish the adaptable automobile fuel nozzle code database. The automobile fuel nozzle code database to be selected is electrically connected with the adaptable automobile fuel nozzle code database module, and is used to associate and match the automobile fuel nozzle type with the adaptable automobile fuel nozzle code database according to the obtained vehicle information, and generate the automobile fuel nozzle code database to be selected. The optimal interval module is used to monitor the automobile fuel nozzle working state data under the historical automobile fuel nozzle code in real time, analyze whether the automobile fuel nozzle working state data is in the optimal interval, if yes, determine not to overwrite the automobile fuel nozzle code data, and if not, determine to overwrite the automobile fuel nozzle code data. The calibration decision task module is electrically connected with the to-be-selected automobile fuel nozzle code database module and the optimal interval module, and the calibration decision task module is used for establishing an automobile code overwrite task and generating a fuel nozzle code write calibration decision task if it is determined to overwrite the automobile fuel nozzle code data according to the to-be-selected automobile fuel nozzle code database based on the analysis of the service life of the automobile and the replacement of the automobile fuel nozzle.
[0013] Compared with the prior art, the present application has the following beneficial effects: The present application provides a fuel nozzle code quick writing and calibration scheme, which realizes real-time monitoring and intelligent matching of automobile fuel nozzle codes, dynamically analyzes the working state of the fuel nozzle, optimizes the code writing and calibration decision, ensures the efficiency and compatibility of the fuel injection system, and thus improves the vehicle performance and fuel efficiency. BRIEF DESCRIPTION OF DRAWINGS
[0014] Figure 1 It is a flow chart of a fuel nozzle code quick writing and calibration method. Figure 2 It is a system framework diagram of a fuel nozzle code quick writing and calibration method. DETAILED DESCRIPTION
[0015] The following description is used to disclose the present application so that those skilled in the art can implement the present application. The preferred embodiments in the following description are only used as examples, and other obvious modifications can be thought of by those skilled in the art.
[0016] Referring to Figure 1 As shown in the figure, a fuel nozzle code quick writing and calibration method comprises the following steps: Step 1: Based on the OBD tool interface, identify the automobile computer version fuel nozzle code information, and establish an adaptable automobile fuel nozzle code database; The step 1 comprises the following contents: Step 101: According to the ECU electronic control unit sending diagnosis request, response frame analysis is carried out to extract device information data, and it is detected whether the ECU electronic control unit is encrypted or not. If yes, the random seed is obtained by using "seed request", the key of the random seed is calculated by using the hash algorithm, the key is submitted to complete the security access, and if no, the access is directly carried out; As further contents, the device information data comprises: manufacturer ID, hardware version, encryption state; Step 102: Based on the ECU electronic control unit security access, the OBD tool interface is used to identify the automobile computer version fuel nozzle code information, the automobile computer version fuel nozzle code information parameter characteristics are extracted, and the adaptable automobile fuel nozzle code database is established.
[0017] In use, the contents of steps 101 to 102 are combined: The OBD tool interface interacts with the ECU (Electronic Control Unit) to safely identify and extract the computer version of the fuel nozzle code information; the system sends a diagnostic request, analyzes the response frame and extracts the device information to detect whether the ECU is enabled with encryption protection; if encryption protection is enabled, a random seed is obtained through a "seed request", and a key is calculated using a hash algorithm to achieve secure access; if there is no encryption protection, direct access is performed; after secure access, the OBD tool interface identifies and extracts the fuel nozzle code information, further extracts its parameter characteristics and establishes a database; the beneficial effects of this method are that it ensures safe access and data extraction for different vehicles, effectively avoids unauthorized operations, and can build an adaptable fuel nozzle code database to provide accurate data support for subsequent vehicle maintenance, fuel nozzle replacement or optimization, and improve maintenance efficiency and accuracy.
[0018] Step two, according to the obtained vehicle information and the associated matching of the automobile fuel nozzle model and the adaptable automobile fuel nozzle code database, generate the automobile fuel nozzle code database to be selected; The step two includes the following contents: Step 201, based on the vehicle information obtained by the OBD tool interface, normalize the data characteristics to obtain standardized vehicle characteristics, and extract the vehicle standardized feature vector; According to the automobile fuel nozzle model, obtain the automobile fuel nozzle data parameters, set the constraint filtering condition, and generate the automobile fuel nozzle parameter matrix; Step 202, according to the extracted vehicle standardized feature vector and the automobile fuel nozzle parameter matrix, limit the automobile fuel nozzle filtering hard condition, and generate the vehicle-automobile fuel nozzle Boolean matching matrix; As further content, the automobile fuel nozzle filtering hard condition includes: fuel type matching, ECU electronic control unit protocol compatibility, and lower limit constraint of fuel injection amount; Step 203, based on the vehicle-automobile fuel nozzle Boolean matching matrix, calculate the similarity between the vehicle standardized feature vector and the automobile fuel nozzle parameter by using the weighted Mahalanobis distance, generate the vehicle-automobile fuel nozzle similarity matrix, and the formula is as follows: Where D i is the similarity between the vehicle standardized feature vector and the automobile fuel nozzle parameter, V is the vehicle standardized feature vector, μ i is the mean vector of the fuel nozzle i, (V-μ i ) is the difference between the vehicle standardized feature vector and the automobile fuel nozzle feature, (V-μ i ) T is the transpose of the difference vector, W is the weight coefficient, W T is the transpose of the weight matrix; Step 204, based on the vehicle standardized feature vector and the vehicle-car fuel injector similarity matrix, the high matching degree of the automobile fuel injector is preferentially paired, and the linear programming algorithm is used to generate the automobile fuel injector code database to be selected with the flow meeting and the inventory limit as the constraint condition.
[0019] In use, in combination with the contents of steps 201 to 204: Through the OBD tool interface, the vehicle data is collected and normalized, the fuel injector parameter matrix is combined with the set hard conditions, the similarity of the vehicle and the fuel injector is calculated. Using weighted Mahalanobis distance and linear programming optimization algorithm, based on flow and inventory limit, select high matching degree of fuel injector, generate to-be-selected fuel injector code database; realize accurate vehicle and fuel injector matching, optimize resource allocation, meet vehicle demand while controlling inventory and cost, improve matching efficiency and system flexibility.
[0020] Step three, real-time monitoring of automobile historical fuel injector code automobile fuel injector working state data, analysis automobile fuel injector working state data whether in the optimal interval, if yes, determine not to overwrite automobile fuel injector code data, if not, determine to overwrite automobile fuel injector code data; The step three includes the following contents: Step 301, based on the OBD tool interface, the real-time working parameters of the automobile fuel injector are obtained, and the real-time working parameters of the automobile fuel injector are subjected to Z-score standardization processing to obtain the standardized real-time working parameters of the automobile fuel injector; As further content, the real-time working parameters of the automobile fuel injector include: fuel injection quantity, fuel injection time, air-fuel ratio and engine load; Step 302, based on the standardized real-time working parameters of the automobile fuel injector, the allowable fluctuation range of each parameter of the automobile fuel injector is obtained, and the optimal interval judgment threshold of the working state of the automobile fuel injector is established; Step 303, based on the optimal interval judgment threshold of the working state of the automobile fuel injector, the deviation between the real-time working parameters of the automobile fuel injector and the standard value is calculated, and normalized processing is performed, and the weighted Euclidean distance algorithm is used to obtain the working state deviation degree of the automobile fuel injector, the formula is as follows: Among them, D state is the working state deviation degree of the automobile fuel injector, w inj is the weight of the automobile fuel injection quantity, D inj is the deviation between the real-time working parameters of the automobile fuel injector and the standard value, w T is the weight of the automobile fuel injection time, w AFR is the weight of air-fuel ratio, D AFR is the deviation of air-fuel ratio, w load is the weight of engine load, D loaddeviation of engine load; Step 304, based on the deviation of the working state of the automobile fuel nozzle and the working state data of the automobile fuel nozzle under the historical coding of the automobile, select the Gaussian radial basis function, map the data to a higher dimensional space through RBF, find the optimal hyperplane with the optimization algorithm, maximize the classification interval, train the SVM support vector machine, establish the working state prediction model of the automobile fuel nozzle, predict the future working state of the automobile fuel nozzle, analyze whether the working state data of the automobile fuel nozzle is in the optimal interval, if yes, determine not to overwrite the coding data of the automobile fuel nozzle, if not, determine to overwrite the coding data of the automobile fuel nozzle.
[0021] In use, the contents of steps 301 to 304 are combined: Through the OBD interface, real-time collection of automobile fuel nozzle working parameters is realized, Z-score standardization and weighted Euclidean distance calculation of parameter deviation are realized, and support vector machine (SVM) model is used to predict whether the working state of the fuel nozzle is in the optimal interval, so as to determine whether the fuel nozzle coding data needs to be updated; beneficial effects: precise monitoring and intelligent prediction of the working state of the fuel nozzle are realized, the parameters of the fuel nozzle are ensured to be maintained in the best range, the performance and fuel efficiency of the engine are improved, the maintenance cost is reduced, and the self-adaptation and optimization ability of the system is enhanced.
[0022] Step four, if it is determined to overwrite the coding data of the automobile fuel nozzle, the automobile coding overwrite task is established according to the analysis of the service life of the automobile and the replacement of the automobile fuel nozzle, and the fuel nozzle coding writing calibration decision task is generated; The step four includes the following contents: Step 401, based on the analysis of the service life of the automobile, the fuel nozzle type in the automobile fuel nozzle coding database to be selected is screened, and the fuel nozzle type suitable for the current vehicle service life is retained; Based on the replacement of the automobile fuel nozzle, the fuel nozzle type in the automobile fuel nozzle coding database to be selected is prioritized according to the compatibility list of the ECU electronic control unit, and the fuel nozzle type with the highest compatibility with the ECU electronic control unit is selected preferentially; Step 402, using a piecewise linear function, the automobile coding overwrite task is established according to the analysis of the service life of the automobile and the weight distribution model of the replacement of the automobile fuel nozzle, the weight coefficient of each automobile fuel nozzle type is calculated, and the fuel nozzle coding writing calibration decision task is generated.
[0023] In use, the contents of steps 401 to 402 are combined: By combining the service life of the vehicle with the performance data of the fuel injector, the relationship between the service life of the vehicle and the replacement of the fuel injector is analyzed using a piecewise linear function, ensuring that the most suitable fuel injector model is reasonably selected according to the actual condition of the vehicle; by screening the fuel injectors compatible with the ECU electronic control unit and prioritizing each model based on a weight distribution model, the selection and replacement process of the fuel injector can be optimized, maximizing the matching degree and working efficiency of the fuel injection system; not only ensures the efficient compatibility of the fuel injector and the vehicle system, but also improves the accurate calibration and long-term stability of the system, thereby improving the vehicle performance and fuel efficiency, reducing the occurrence of faults, and prolonging the service life of the vehicle.
[0024] Referring to Figure 2 The fuel injector coding quick writing and calibration system comprises: The adaptable vehicle fuel injector coding database module is used to identify the vehicle computer version fuel injector coding information based on the OBD tool interface, and establish an adaptable vehicle fuel injector coding database; The to-be-selected vehicle fuel injector coding database module is electrically connected with the adaptable vehicle fuel injector coding database module, and is used to associate and match the to-be-selected vehicle fuel injector coding database with the adaptable vehicle fuel injector coding database according to the obtained vehicle information and vehicle fuel injector model, and generate the to-be-selected vehicle fuel injector coding database; The optimal interval module is used to monitor the vehicle fuel injector working state data under the historical vehicle fuel injector coding in real time, analyze whether the vehicle fuel injector working state data is in the optimal interval, if yes, determine not to overwrite the vehicle fuel injector coding data, and if not, determine to overwrite the vehicle fuel injector coding data; The calibration decision task module is electrically connected with the to-be-selected vehicle fuel injector coding database module and the optimal interval module, and is used to establish a vehicle coding overwrite task for the to-be-selected vehicle fuel injector coding database according to the analysis of the service life of the vehicle and the replacement of the vehicle fuel injector if it is determined to overwrite the vehicle fuel injector coding data, and generate a fuel injector coding writing and calibration decision task.
[0025] The basic principles, main features and advantages of the present application are shown and described above. Those skilled in the art should understand that the present application is not limited to the above examples, and the above examples and descriptions in the specification are only the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection claimed by the present application is defined by the appended claims and their equivalents.
Claims
1. A method for rapid writing and calibration of fuel injector codes, characterized in that, Includes the following steps: S1. Based on the OBD tool interface, identify the fuel injector coding information of the car computer and establish a fuel injector coding database that can be adapted to the car. S2. Based on the obtained vehicle information and the car fuel injector model, the database of compatible car fuel injector codes is matched to generate a database of car fuel injector codes to be selected. S3. Monitor the working status data of the vehicle fuel injectors under the historical fuel injector codes in real time, and analyze whether the working status data of the vehicle fuel injectors is in the optimal range. If so, determine not to overwrite the vehicle fuel injector code data; otherwise, determine to overwrite the vehicle fuel injector code data. S4. If it is determined that the vehicle fuel injector coding data should be overwritten, the vehicle coding overwriting task should be established based on the analysis of the vehicle's service life and the replacement of the vehicle fuel injectors, and the fuel injector coding writing calibration decision task should be generated for the vehicle fuel injector coding database to be selected.
2. The method for rapid writing and calibration of fuel injector codes according to claim 1, characterized in that, S1 includes: Based on the diagnostic request sent by the ECU (Electronic Control Unit), the system parses the response frame to extract device information data, checks whether the ECU has encryption protection, and if so, obtains a random seed using a "seed request", calculates the key of the random seed using a hash algorithm, and submits the key to complete secure access. If not, access is granted directly. After secure access to the ECU (Electronic Control Unit), the OBD tool interface is used to identify the fuel injector coding information of the vehicle's computer system, extract the parameter features of the fuel injector coding information, and establish a fuel injector coding database that can be adapted to vehicles.
3. The method for rapid writing and calibration of fuel injector codes according to claim 1, characterized in that, S2 includes: Based on the vehicle information obtained from the OBD tool interface, its data features are normalized to obtain standardized vehicle features, and the standardized vehicle feature vector is extracted. Based on the vehicle fuel injector model, obtain the vehicle fuel injector data parameters, set constraint filtering conditions, and generate the vehicle fuel injector parameter matrix; Based on the extracted standardized feature vectors of vehicles and the parameter matrix of automotive fuel injectors, the hard conditions for filtering automotive fuel injectors are limited, and a Boolean matching matrix between vehicles and automotive fuel injectors is generated.
4. The method for rapid writing and calibration of fuel injector codes according to claim 3, characterized in that, S2 further includes: Based on the vehicle-car fuel injector Boolean matching matrix, the similarity between the standardized feature vector of the vehicle and the parameters of the car fuel injector is calculated using the weighted Mahalanobis distance, and a vehicle-car fuel injector similarity matrix is generated. Based on the standardized feature vectors of vehicles and the generated vehicle-car fuel injector similarity matrix, fuel injectors with high matching degree are prioritized for pairing. Using a linear programming algorithm, with flow rate satisfaction and inventory constraints as constraints, a database of coded fuel injectors to be selected is generated.
5. The method for rapid writing and calibration of fuel injector codes according to claim 1, characterized in that, S3 includes: The real-time operating parameters of the car fuel injector are obtained based on the OBD tool interface, and the real-time operating parameters of the car fuel injector are standardized by Z-score to obtain the standardized real-time operating parameters of the car fuel injector. As a further detail, the real-time operating parameters of automotive fuel injectors include: fuel injection quantity, fuel injection time, air-fuel ratio, and engine load. Based on the standardized real-time operating parameters of automotive fuel injectors, the allowable fluctuation range of each parameter of automotive fuel injectors is obtained, and the optimal range for judging the working state of automotive fuel injectors is established.
6. The method for rapid writing and calibration of fuel injector codes according to claim 5, characterized in that, S3 further includes: Based on the optimal range judgment threshold of the working state of the automotive fuel injector, the deviation between the real-time working parameters of the automotive fuel injector and the standard value is calculated and normalized. Then, the deviation of the working state of the automotive fuel injector is obtained by using the weighted Euclidean distance algorithm. Based on the deviation of the working state of automotive fuel injectors and the working state data of automotive fuel injectors under historical fuel injector encoding, a Gaussian radial basis function is selected. The data is mapped to a higher-dimensional space through RBF mapping. An optimization algorithm is used to find the optimal hyperplane to maximize the classification margin. An SVM support vector machine is trained to establish a predictive model for the working state of automotive fuel injectors. The model predicts the future working state of automotive fuel injectors and analyzes whether the working state data of automotive fuel injectors is in the optimal range. If so, it is determined not to overwrite the automotive fuel injector encoding data; otherwise, it is determined to overwrite the automotive fuel injector encoding data.
7. The method for rapid writing and calibration of fuel injector codes according to claim 1, characterized in that, S4 includes: Based on the analysis of the vehicle's service life, the fuel injector models in the fuel injector coding database of the vehicle to be selected are screened, and the fuel injector models that are suitable for the current vehicle's service life are retained. Based on the replacement of automotive fuel injectors, the fuel injector models in the fuel injector coding database are prioritized according to the ECU electronic control unit compatibility list, and the fuel injector model with the highest compatibility with the ECU electronic control unit is selected first.
8. The method for rapid writing and calibration of fuel injector codes according to claim 7, characterized in that, S4 further includes: By utilizing piecewise linear functions and combining vehicle service life analysis with a database of replacement fuel injectors for different vehicle fuel injector codes, a weight allocation model for vehicle service life analysis and replacement fuel injectors is established. The weight coefficient of each fuel injector model is calculated, a vehicle code overwriting task is established, and a fuel injector code writing calibration decision task is generated.
9. A fuel injector coding rapid writing and calibration system, characterized in that, To implement any one of claims 1-8, the method for rapid writing and calibration of fuel injector codes includes: It can be adapted to automotive fuel injector coding database modules, automotive fuel injector coding database modules for selection, optimal range modules, and calibration decision task modules. The adaptable automotive fuel injector code database module is used to identify automotive computer version fuel injector code information based on the OBD tool interface and establish an adaptable automotive fuel injector code database. The vehicle fuel injector code database module to be selected is electrically connected to the compatible vehicle fuel injector code database module. The vehicle fuel injector code database module to be selected is used to associate and match the obtained vehicle information, vehicle fuel injector model and compatible vehicle fuel injector code database to generate the vehicle fuel injector code database to be selected. The optimal interval module is used to monitor the working status data of the vehicle fuel injectors under the historical fuel injector codes in real time, analyze whether the working status data of the vehicle fuel injectors is in the optimal interval, if so, determine not to overwrite the vehicle fuel injector code data, if not, determine to overwrite the vehicle fuel injector code data. The calibration decision task module is electrically connected to the vehicle injector code database module and the optimal interval module. The calibration decision task module is used to determine whether to overwrite the vehicle injector code data, analyze and replace the vehicle injectors according to the vehicle's service life, establish a vehicle code overwrite task for the vehicle injector code database to be selected, and generate injector codes to write into the calibration decision task.