Vehicle core control unit domain controller and control method thereof

Abstract

The invention discloses a vehicle core control unit domain controller and a control method thereof, and relates to the technical field of vehicle core control, and the vehicle core control unit domain controller comprises an intra-domain data collection and interaction module which collects vehicle operation state data, environment perception data and a user operation instruction; the multi-domain cooperative control and decision module performs data fusion analysis through a preset control strategy model and generates cooperative control instructions of power distribution, chassis adjustment, cabin interaction and safety protection; the execution instruction issuing and feedback module accurately issues the generated cooperative control instruction to a corresponding actuator; and the safety monitoring and fault diagnosis module is used for monitoring the communication link state, the core hardware working parameters and the actuator action precision of the domain control system in real time. According to the invention, through combination of multi-domain cooperative control and decision, data fusion analysis, personalized configuration and OTA updating, intelligence, personalization, real-time response and high safety of the vehicle core control unit are realized.

Description

Technical Field

[0001] This invention relates to the field of vehicle core control technology, specifically to a vehicle core control unit domain controller and its control method. Background Technology

[0002] With the rapid development of intelligence and connectivity, modern vehicles are increasingly demanding electronic control systems, especially in terms of the integration and functionality requirements of core vehicle control units. Traditional vehicle control systems are mostly distributed subsystems, each independently controlling different onboard functions, such as the powertrain, chassis, and body electronics. This results in data silos and ineffective information sharing between systems, limiting the improvement of overall system performance. In emerging application scenarios such as intelligent driving and autonomous driving, the various subsystems of a vehicle need to work together efficiently. Therefore, a new, integrated core vehicle control unit is needed to solve this problem. As a new type of control system, the vehicle core control unit domain controller can achieve collaborative control and management of various subsystems within the vehicle, improving system efficiency and enhancing the vehicle's intelligence level.

[0003] However, existing vehicle control systems suffer from the following technical problems: overly complex system architectures lead to low data transmission and processing efficiency, failing to effectively meet the real-time and high-efficiency requirements of vehicles; a lack of sufficient personalized settings and customization functions fail to meet the diverse driving experience needs of different users; in particular, they fail to implement sufficient emergency response and hierarchical protection mechanisms when malfunctions occur; and the application of OTA technology is not widespread enough, resulting in untimely updates to control algorithms and strategies, preventing the system from dynamically optimizing according to user needs and the actual state of the vehicle. Summary of the Invention

[0004] To solve the above-mentioned technical problems, a vehicle core control unit domain controller and its control method are provided. This technical solution solves the above-mentioned problems.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A vehicle core control unit domain controller and its control method, comprising: The domain data acquisition and interaction module is used to establish connections with the sensor groups of the vehicle power system, chassis system, body electronics and smart cockpit through standardized interfaces. Based on the hybrid communication protocol of vehicle Ethernet and CANFD, it collects vehicle operating status data, environmental perception data and user operation commands, and performs data interaction and synchronization between nodes in the domain. The multi-domain collaborative control and decision-making module is used to receive multi-source data, perform data fusion analysis through a preset control strategy model, and generate collaborative control commands for power distribution, chassis adjustment, cockpit interaction and safety protection. It supports personalized configuration of control strategies and can dynamically update algorithm control and strategy library through OTA technology. The execution command issuance and feedback module is used to accurately issue the generated collaborative control commands to the corresponding actuators, including the motor controller, brake actuator, suspension adjustment mechanism and cockpit control unit, and at the same time receive the action feedback signals of the actuators to confirm the execution effect of the commands; The safety monitoring and fault diagnosis module is used to monitor the communication link status, core hardware operating parameters and actuator action accuracy of the domain control system in real time, identify data transmission anomalies, hardware faults and control logic deviations, trigger hierarchical protection mechanisms and record fault information.

[0006] Preferably, the domain data acquisition and interaction module specifically includes: Interface adapter unit: Through multiple standardized interfaces, including LVDS interface, Ethernet interface and CAN interface, it adapts to different types of sensors and actuators, and completes the establishment of physical connection and communication protocol initialization; Data acquisition unit: Collects data such as vehicle speed, acceleration, battery SOC, tire pressure, ambient light intensity, and user touch commands according to a preset sampling frequency. The collected data undergoes preliminary filtering and noise reduction processing. The filtering formula is as follows: ; In the formula, The filtered data output value. The length of the sliding window. For the first The raw data collected this time. This represents the current number of data collections. Data synchronization and forwarding unit: Based on the timestamp synchronization mechanism, it realizes time alignment of multi-source collected data, forwards the processed data to the multi-domain collaborative control and decision-making module through a hybrid communication protocol, and simultaneously receives reverse control commands and forwards them to the corresponding execution nodes; Data integrity verification unit: performs CRC check on the received interactive data, checks for loss and tampering during data transmission, marks abnormal data and triggers a retransmission mechanism.

[0007] Preferably, the multi-domain collaborative control and decision-making module specifically includes: Multi-source data receiving unit: Receives standardized data forwarded by the data acquisition and interaction module within the domain, including vehicle operating status parameters, environmental perception results, and user preference settings data; Data fusion analysis unit: Employing a fusion algorithm combining Kalman filtering and deep learning, this unit performs correlation analysis on multi-source heterogeneous data, extracting vehicle operation characteristics and user demand preferences, and eliminating data redundancy and conflicts. The core formula of the Kalman filter is: ; In the formula, For the first The prior state estimate at time t. Here is the state transition matrix. For the first The posterior state estimate at time t. To control the input matrix, For the first Time-based control input, For Kalman gain, Let k be the observation value at time k. The observation matrix is ​​used to extract vehicle operation characteristics and user demand preferences through this algorithm, eliminating data redundancy and conflicts. Cooperative control strategy generation unit: Based on the fusion analysis results, it calls the preset models in the strategy library to generate cooperative control commands that include power output adjustment, brake energy recovery, steering assist level, suspension stiffness adjustment and cabin environment parameters. Personalized configuration unit: Allows users to customize power response sensitivity, chassis comfort / sport mode parameters and cockpit interaction logic through the smart cockpit interface and mobile APP, and generate personalized control strategy files; OTA policy update unit: Connects to the cloud server via the vehicle network, detects updated versions of the control algorithm and policy library, downloads and installs the update files, and maintains the normal operation of basic control functions during the update process to ensure driving safety; Control command optimization unit: Based on the actuator feedback signal, the generated control commands are fine-tuned in real time to optimize control accuracy and response speed and adapt to different driving conditions.

[0008] Preferably, the execution instruction issuance and feedback module specifically includes: Command encoding and distribution unit: Encodes collaborative control commands according to the communication protocol specifications of each actuator, and distributes safety-related control commands first through a priority scheduling mechanism to ensure the timeliness of command transmission; Actuator adapter unit: performs instruction format conversion and drive signal generation for the control logic of different types of actuators, adapting to the control requirements of different types of actuators such as motors, hydraulic brakes, and electronic steering. Feedback signal receiving unit: Receives actuator action completion signals, operating status parameters and load feedback data, and extracts key execution indicators, including action response time and execution accuracy error; Command execution confirmation unit: compares the feedback data with the expected effect of the control command to confirm whether the command execution has met the standard, and triggers command resending if the standard is not met.

[0009] Preferably, the safety monitoring and fault diagnosis module specifically includes: Status monitoring unit: Real-time monitoring of the transmission rate and bit error rate of the vehicle Ethernet and CANFD communication links, the temperature, voltage and memory usage of the core processor, as well as the operating frequency and load current of the actuators; Fault identification unit: By comparing monitoring data with normal threshold ranges through a preset fault feature library, it identifies fault types such as communication interruption, hardware overheating, actuator jamming, and control command failure. Graded protection unit: Based on the severity of the fault, a three-level protection mechanism is triggered. For minor faults, only the fault is recorded and the user is notified. For moderate faults, the control strategy is adjusted to reduce the intensity of functions. For severe faults, unnecessary functions are cut off and emergency driving mode is activated. Fault recording and uploading unit: Records in detail the time of fault occurrence, fault type, triggering conditions, and vehicle operating parameters at the time. When the vehicle is connected to the network, the fault information is uploaded to the cloud service platform for easy diagnosis and maintenance later.

[0010] Preferably, in the graded protection mechanism, the emergency driving mode specifically includes: limiting power output within a safe threshold, maintaining basic steering and braking functions, turning off entertainment cabin functions, and displaying fault warning information and emergency operation instructions through the instrument panel.

[0011] A vehicle core control unit domain control method, the control method comprising the following steps: Step 1: Establish connections with various sensors and actuators through the domain data acquisition and interaction module, collect and process vehicle operation data, environmental data and user commands, and realize synchronous data interaction within the domain; Step 2: Through the multi-domain collaborative control and decision-making module, the collected multi-source data is fused and analyzed, and the control strategy library is called to generate collaborative control instructions, supporting personalized strategy configuration and OTA dynamic updates; Step 3: Through the instruction issuance and feedback module, control instructions are issued to the corresponding actuators, execution feedback signals are received, and the execution effect is confirmed; Step 4: Through the safety monitoring and fault diagnosis module, monitor the system operation status in real time, identify faults and trigger the hierarchical protection mechanism, and record and upload fault information.

[0012] Preferably, step 2 specifically includes: receiving preprocessed multi-source standardized data, including vehicle operating status parameters, environmental perception data, and user configuration information; using a fusion algorithm to perform correlation analysis on the multi-source data, extracting core feature parameters, and eliminating data conflicts and redundancy; calling the corresponding control strategy model according to the feature parameters, and generating multi-domain collaborative control commands in combination with user personalized configurations; detecting cloud-based strategy update packages through OTA technology, and completing the update and replacement of the control algorithm and strategy library while ensuring driving safety; and pre-optimizing the generated control commands based on historical execution feedback data to improve command execution accuracy.

[0013] Preferably, step 3 specifically includes: performing protocol encoding and priority sorting on the collaborative control instructions, and prioritizing the issuance of safety-related instructions; converting the instruction format according to the actuator type, generating and issuing the appropriate drive signal; receiving the action completion signal and operating parameters fed back by the actuator, and extracting the execution index data; comparing the execution index with the expected effect, and if the target is met, proceeding to the next control cycle, and if the target is not met, adjusting the instruction parameters and reissuing the instruction.

[0014] Preferably, step 4 specifically includes: collecting system communication status, hardware operating parameters, and actuator operating data according to a preset cycle; comparing the collected data with the threshold range in the fault feature database to identify the fault type and severity level; triggering corresponding graded protection measures according to the severity level, recording only a prompt for minor faults, adjusting the control strategy for moderate faults, and activating the emergency driving mode for severe faults; recording complete fault information, uploading it to the cloud platform when the vehicle is connected to the network, and simultaneously displaying fault prompts and handling suggestions on the in-vehicle display screen.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention proposes to improve the intelligence, collaborative efficiency, safety, and adaptive capabilities of vehicles through multi-domain collaborative control, real-time data fusion, and personalized strategy configuration. By introducing multi-domain collaborative control technology, the system can achieve a high degree of collaboration and optimization between different control domains, ensuring information sharing and coordinated operation among various systems. Real-time data fusion technology can accurately process data from different sensors and the external environment, providing more accurate basis for vehicle decision-making. In addition, personalized strategy configuration allows the system to adjust the vehicle's operating mode in real time according to factors such as driver habits, driving environment, and traffic conditions, thereby achieving a more humanized and efficient driving experience. The application of this technology not only significantly improves the vehicle's adaptive capabilities under complex road conditions but also enhances driving safety, providing important technical support for the development of intelligent transportation systems. Attached Figure Description

[0016] Figure 1 This is a system framework diagram of the present invention; Figure 2 This is a flowchart illustrating the steps of the present invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 As shown, a vehicle core control unit domain controller includes: The domain data acquisition and interaction module is used to establish connections with the sensor groups of the vehicle power system, chassis system, body electronics and smart cockpit through standardized interfaces. Based on the hybrid communication protocol of vehicle Ethernet and CANFD, it collects vehicle operating status data, environmental perception data and user operation commands, and performs data interaction and synchronization between nodes in the domain. The multi-domain collaborative control and decision-making module is used to receive multi-source data, perform data fusion analysis through a preset control strategy model, and generate collaborative control commands for power distribution, chassis adjustment, cockpit interaction and safety protection. It supports personalized configuration of control strategies and can dynamically update algorithm control and strategy library through OTA technology. The execution command issuance and feedback module is used to accurately issue the generated collaborative control commands to the corresponding actuators, including the motor controller, brake actuator, suspension adjustment mechanism and cockpit control unit, and at the same time receive the action feedback signals of the actuators to confirm the execution effect of the commands; The safety monitoring and fault diagnosis module is used to monitor the communication link status, core hardware operating parameters and actuator action accuracy of the domain control system in real time, identify data transmission anomalies, hardware faults and control logic deviations, trigger hierarchical protection mechanisms and record fault information.

[0019] The domain data acquisition and interaction module specifically includes: Interface adapter unit: Through multiple standardized interfaces, including LVDS interface, Ethernet interface and CAN interface, it adapts to different types of sensors and actuators, and completes the establishment of physical connection and communication protocol initialization; Data acquisition unit: Collects data such as vehicle speed, acceleration, battery SOC, tire pressure, ambient light intensity, and user touch commands according to a preset sampling frequency. The collected data undergoes preliminary filtering and noise reduction processing. The filtering formula is as follows: In the formula, The filtered data output value. The length of the sliding window. For the first The raw data collected this time. This represents the current number of data collections. Data synchronization and forwarding unit: Based on the timestamp synchronization mechanism, it realizes time alignment of multi-source collected data, forwards the processed data to the multi-domain collaborative control and decision-making module through a hybrid communication protocol, and simultaneously receives reverse control commands and forwards them to the corresponding execution nodes; Data integrity verification unit: performs CRC check on the received interactive data, checks for loss and tampering during data transmission, marks abnormal data and triggers a retransmission mechanism; Multiple standardized interfaces are used for sensor and actuator adaptation, ensuring broad compatibility. Furthermore, data preprocessing employs sliding window filtering technology to effectively reduce noise impact and improve data acquisition accuracy and reliability. The data synchronization and forwarding unit uses a timestamp synchronization mechanism to ensure the timeliness and consistency of multi-source data, and supports bidirectional data transmission using hybrid protocols, flexibly adapting to different data transmission needs. The multi-domain collaborative control and decision-making module specifically includes: Multi-source data receiving unit: Receives standardized data forwarded by the data acquisition and interaction module within the domain, including vehicle operating status parameters, environmental perception results, and user preference settings data; Data fusion analysis unit: Employing a fusion algorithm combining Kalman filtering and deep learning, this unit performs correlation analysis on multi-source heterogeneous data, extracting vehicle operation characteristics and user demand preferences, and eliminating data redundancy and conflicts. The core formula of the Kalman filter is: ; In the formula, For the first The prior state estimate at time t. Here is the state transition matrix. For the first The posterior state estimate at time t. Control input matrix, The observation matrix is ​​used to extract vehicle operation characteristics and user demand preferences through this algorithm, eliminating data redundancy and conflicts. Cooperative control strategy generation unit: Based on the fusion analysis results, it calls the preset models in the strategy library to generate cooperative control commands that include power output adjustment, brake energy recovery, steering assist level, suspension stiffness adjustment and cabin environment parameters. Personalized configuration unit: Allows users to customize power response sensitivity, chassis comfort / sport mode parameters and cockpit interaction logic through the smart cockpit interface and mobile APP, and generate personalized control strategy files; OTA policy update unit: Connects to the cloud server via the vehicle network, detects updated versions of the control algorithm and policy library, downloads and installs the update files, and maintains the normal operation of basic control functions during the update process to ensure driving safety; Control command optimization unit: Based on the actuator feedback signal, the generated control command is fine-tuned in real time to optimize control accuracy and response speed and adapt to different driving conditions. By combining Kalman filtering and deep learning algorithms to fuse multi-source data, the correlation and analysis accuracy of the data are significantly improved. By eliminating data redundancy and conflicts, vehicle operating characteristics and user needs can be extracted more accurately, enabling the system to automatically optimize decisions and improve the driving experience. The generation and optimization of collaborative control strategies, based on deep learning and Kalman filtering algorithms, can dynamically adjust control strategies according to real-time data, supporting personalized configurations and ensuring that each driver's individual needs are met.

[0020] The instruction issuance and feedback module specifically includes: Command encoding and distribution unit: Encodes collaborative control commands according to the communication protocol specifications of each actuator, and distributes safety-related control commands first through a priority scheduling mechanism to ensure the timeliness of command transmission; Actuator adapter unit: performs instruction format conversion and drive signal generation for the control logic of different types of actuators, adapting to the control requirements of different types of actuators such as motors, hydraulic brakes, and electronic steering. Feedback signal receiving unit: Receives actuator action completion signals, operating status parameters and load feedback data, and extracts key execution indicators, including action response time and execution accuracy error; Command execution confirmation unit: compares the feedback data with the expected effect of the control command to confirm whether the command execution has met the standard, and triggers command resending if the standard is not met; A priority scheduling mechanism is adopted to ensure that safety-related control commands are issued first, maximizing driving safety. Real-time feedback precision control effectively improves the efficiency and accuracy of command execution.

[0021] The safety monitoring and fault diagnosis module specifically includes: Status monitoring unit: Real-time monitoring of the transmission rate and bit error rate of the vehicle Ethernet and CANFD communication links, the temperature, voltage and memory usage of the core processor, as well as the operating frequency and load current of the actuators; Fault identification unit: By comparing monitoring data with normal threshold ranges through a preset fault feature library, it identifies fault types such as communication interruption, hardware overheating, actuator jamming, and control command failure. Graded protection unit: Based on the severity of the fault, a three-level protection mechanism is triggered. For minor faults, only the fault is recorded and the user is notified. For moderate faults, the control strategy is adjusted to reduce the intensity of functions. For severe faults, unnecessary functions are cut off and emergency driving mode is activated. Fault recording and uploading unit: Records the fault occurrence time, fault type, triggering conditions and vehicle operating parameters at the time in detail. When the vehicle is connected to the network, the fault information is uploaded to the cloud service platform to facilitate later diagnosis and maintenance. The system monitors all components in real time, such as the status of communication links, the operating parameters of core hardware, and the motion accuracy of actuators, to ensure the stability of the system under different operating conditions. By establishing a fault identification unit and a hierarchical protection mechanism, this module can respond quickly when an anomaly is encountered, preventing the fault from spreading or causing damage.

[0022] In the graded protection mechanism, the emergency driving mode specifically includes: limiting power output within a safe threshold, maintaining basic steering and braking functions, turning off entertainment cabin functions, and displaying fault warning information and emergency operation instructions through the instrument panel.

[0023] Reference Figure 2 As shown, a vehicle core control unit domain control method includes the following steps: Step 1: Establish connections with various sensors and actuators through the domain data acquisition and interaction module, collect and process vehicle operation data, environmental data and user commands, and realize synchronous data interaction within the domain; Step 2: Through the multi-domain collaborative control and decision-making module, the collected multi-source data is fused and analyzed, and the control strategy library is called to generate collaborative control instructions, supporting personalized strategy configuration and OTA dynamic updates; Step 3: Through the instruction issuance and feedback module, control instructions are issued to the corresponding actuators, execution feedback signals are received, and the execution effect is confirmed; Step 4: Through the safety monitoring and fault diagnosis module, monitor the system operation status in real time, identify faults and trigger the hierarchical protection mechanism, and record and upload fault information.

[0024] Step 2 specifically includes: receiving preprocessed multi-source standardized data, including vehicle operating status parameters, environmental perception data, and user configuration information; using a fusion algorithm to perform correlation analysis on the multi-source data, extracting core feature parameters, and eliminating data conflicts and redundancy; calling the corresponding control strategy model based on the feature parameters, and combining it with the user's personalized configuration to generate multi-domain collaborative control commands; detecting cloud-based strategy update packages through OTA technology, and completing the update and replacement of the control algorithm and strategy library while ensuring driving safety; and pre-optimizing the generated control commands based on historical execution feedback data to improve command execution accuracy.

[0025] Step 3 specifically includes: encoding and prioritizing the collaborative control commands according to protocols, and issuing safety-related commands first; converting the command format according to the actuator type, generating and issuing the appropriate drive signal; receiving the action completion signal and operating parameters from the actuator, and extracting the execution index data; comparing the execution index with the expected effect, and if the target is met, proceeding to the next control cycle; if the target is not met, adjusting the command parameters and reissuing the command. The data integrity verification unit uses CRC check technology, which can efficiently detect and correct errors in data transmission, ensure the reliability of system data transmission, and trigger a retransmission mechanism in a timely manner when data is lost or tampered with, thereby reducing the system failure rate.

[0026] Step 4 specifically includes: collecting system communication status, hardware operating parameters, and actuator operating data according to a preset cycle; comparing the collected data with the threshold range in the fault feature database to identify the fault type and severity level; triggering corresponding graded protection measures according to the severity level: only recording a prompt for minor faults, adjusting the control strategy for moderate faults, and activating the emergency driving mode for severe faults; recording complete fault information, uploading it to the cloud platform when the vehicle is connected to the network, and simultaneously displaying fault prompts and handling suggestions on the in-vehicle display screen; The vehicle's core control system has the function of uploading fault information to the cloud platform, which facilitates remote analysis, diagnosis and maintenance. In addition, the system can automatically adjust the control strategy or activate the emergency mode according to the fault type, which effectively improves the system's self-repair capability.

[0027] In summary, the advantages of this invention are: Through standardized interfaces and hybrid communication protocols, data can be transmitted and synchronized quickly and in real time among nodes within the domain, greatly improving data processing efficiency and real-time performance, and ensuring that all vehicle functions work together. Multi-source data fusion analysis employs Kalman filtering and deep learning algorithms to accurately extract vehicle operating characteristics and user needs, generate efficient collaborative control commands, and through personalized configuration, support users to adjust control strategies according to driving habits and needs, thereby improving the driving experience; It supports OTA technology to enable dynamic updates of control strategies and algorithms, ensuring that the system is always up-to-date, adapts to environmental changes and user needs, avoids outdated control strategies, and improves the intelligence and adaptability of the vehicle. By using a priority scheduling mechanism and actuator feedback loop, the accurate execution and real-time feedback of control commands are ensured, thereby guaranteeing the stability and safety of the vehicle under various operating conditions. Real-time monitoring of communication links, core hardware, and actuator status enables timely detection of faults and triggering of graded protection mechanisms, ensuring that effective measures can be taken when a vehicle malfunctions, such as entering emergency driving mode, to maximize driving safety. Fault information is recorded and uploaded to the cloud service platform to facilitate later diagnosis and maintenance, ensuring the long-term stable operation of the vehicle; Through the interaction between the in-vehicle smart cockpit and the mobile app, users can customize control strategies according to their own needs and preferences to achieve a personalized driving experience and meet the needs of different users.

[0028] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A domain controller for a vehicle core control unit, characterized in that, include: The domain data acquisition and interaction module is used to establish connections with the sensor groups of the vehicle power system, chassis system, body electronics and smart cockpit through standardized interfaces. Based on the hybrid communication protocol of vehicle Ethernet and CANFD, it collects vehicle operating status data, environmental perception data and user operation commands, and performs data interaction and synchronization between nodes in the domain. The multi-domain collaborative control and decision-making module is used to receive multi-source data, perform data fusion analysis through a preset control strategy model, and generate collaborative control commands for power distribution, chassis adjustment, cockpit interaction and safety protection. It supports personalized configuration of control strategies and can dynamically update algorithm control and strategy library through OTA technology. The execution command issuance and feedback module is used to accurately issue the generated collaborative control commands to the corresponding actuators, including the motor controller, brake actuator, suspension adjustment mechanism and cockpit control unit, and at the same time receive the action feedback signals of the actuators to confirm the execution effect of the commands; The safety monitoring and fault diagnosis module is used to monitor the communication link status, core hardware operating parameters and actuator action accuracy of the domain control system in real time, identify data transmission anomalies, hardware faults and control logic deviations, trigger hierarchical protection mechanisms and record fault information.

2. A vehicle core control unit domain controller according to claim 1, characterized in that, The domain data acquisition and interaction module specifically includes: Interface adapter unit: Through multiple standardized interfaces, including LVDS interface, Ethernet interface and CAN interface, it adapts to different types of sensors and actuators, and completes the establishment of physical connection and communication protocol initialization; Data acquisition unit: Collects data such as vehicle speed, acceleration, battery SOC, tire pressure, ambient light intensity, and user touch commands according to a preset sampling frequency. The collected data undergoes preliminary filtering and noise reduction processing. The filtering formula is as follows: ； In the formula, The filtered data output value. The length of the sliding window. For the first The raw data collected this time. This represents the current number of data collections. Data synchronization and forwarding unit: Based on the timestamp synchronization mechanism, it realizes time alignment of multi-source collected data, forwards the processed data to the multi-domain collaborative control and decision-making module through a hybrid communication protocol, and simultaneously receives reverse control commands and forwards them to the corresponding execution nodes; Data integrity verification unit: performs CRC check on the received interactive data, checks for loss and tampering during data transmission, marks abnormal data and triggers a retransmission mechanism.

3. A vehicle core control unit domain controller according to claim 2, characterized in that, The multi-domain collaborative control and decision-making module specifically includes: Multi-source data receiving unit: Receives standardized data forwarded by the data acquisition and interaction module within the domain, including vehicle operating status parameters, environmental perception results, and user preference settings data; Data fusion analysis unit: Employing a fusion algorithm combining Kalman filtering and deep learning, this unit performs correlation analysis on multi-source heterogeneous data, extracting vehicle operation characteristics and user demand preferences, and eliminating data redundancy and conflicts. The core formula of the Kalman filter is: ； In the formula, For the first The prior state estimate at time t. Here is the state transition matrix. For the first The posterior state estimate at time t. To control the input matrix, For the first Time-based control input, For Kalman gain, The observation value at time k is... The observation matrix is ​​used to extract vehicle operation characteristics and user demand preferences through this algorithm, eliminating data redundancy and conflicts. Cooperative control strategy generation unit: Based on the fusion analysis results, it calls the preset models in the strategy library to generate cooperative control commands that include power output adjustment, brake energy recovery, steering assist level, suspension stiffness adjustment and cabin environment parameters. Personalized configuration unit: Allows users to customize power response sensitivity, chassis comfort / sport mode parameters and cockpit interaction logic through the smart cockpit interface and mobile APP, and generate personalized control strategy files; OTA policy update unit: Connects to the cloud server via the vehicle network, detects updated versions of the control algorithm and policy library, downloads and installs the update files, and maintains the normal operation of basic control functions during the update process to ensure driving safety; Control command optimization unit: Based on the actuator feedback signal, the generated control commands are fine-tuned in real time to optimize control accuracy and response speed and adapt to different driving conditions.

4. A vehicle core control unit domain controller according to claim 3, characterized in that, The execution instruction issuance and feedback module specifically includes: Command encoding and distribution unit: Encodes collaborative control commands according to the communication protocol specifications of each actuator, and distributes safety-related control commands first through a priority scheduling mechanism to ensure the timeliness of command transmission; Actuator adapter unit: performs instruction format conversion and drive signal generation for the control logic of different types of actuators, adapting to the control requirements of different types of actuators such as motors, hydraulic brakes, and electronic steering. Feedback signal receiving unit: Receives actuator action completion signals, operating status parameters and load feedback data, and extracts key execution indicators, including action response time and execution accuracy error; Command execution confirmation unit: compares the feedback data with the expected effect of the control command to confirm whether the command execution has met the standard, and triggers command resending if the standard is not met.

5. A vehicle core control unit domain controller according to claim 4, characterized in that, The security monitoring and fault diagnosis module specifically includes: Status monitoring unit: Real-time monitoring of the transmission rate and bit error rate of the vehicle Ethernet and CANFD communication links, the temperature, voltage and memory usage of the core processor, as well as the operating frequency and load current of the actuators; Fault identification unit: By comparing monitoring data with normal threshold ranges through a preset fault feature library, it identifies fault types such as communication interruption, hardware overheating, actuator jamming, and control command failure. Graded protection unit: Based on the severity of the fault, a three-level protection mechanism is triggered. For minor faults, only the fault is recorded and the user is notified. For moderate faults, the control strategy is adjusted to reduce the intensity of functions. For severe faults, unnecessary functions are cut off and emergency driving mode is activated. Fault recording and uploading unit: Records in detail the time of fault occurrence, fault type, triggering conditions, and vehicle operating parameters at the time. When the vehicle is connected to the network, the fault information is uploaded to the cloud service platform for easy diagnosis and maintenance later.

6. A vehicle core control unit domain controller according to claim 5, characterized in that, The tiered protection mechanism includes an emergency driving mode that specifically limits power output to a safe threshold, maintains basic steering and braking functions, disables entertainment cabin functions, and displays fault warning information and emergency operation instructions on the instrument panel.

7. A domain control method for a vehicle core control unit, characterized in that, The control method includes the following steps: Step 1: Establish connections with various sensors and actuators through the domain data acquisition and interaction module, collect and process vehicle operation data, environmental data and user commands, and realize synchronous data interaction within the domain; Step 2: Through the multi-domain collaborative control and decision-making module, the collected multi-source data is fused and analyzed, and the control strategy library is called to generate collaborative control instructions, supporting personalized strategy configuration and OTA dynamic updates; Step 3: Through the instruction issuance and feedback module, control instructions are issued to the corresponding actuators, execution feedback signals are received, and the execution effect is confirmed; Step 4: Through the safety monitoring and fault diagnosis module, monitor the system operation status in real time, identify faults and trigger the hierarchical protection mechanism, and record and upload fault information.

8. The vehicle core control unit domain control method according to claim 7, characterized in that, Step 2 specifically includes: receiving preprocessed multi-source standardized data, including vehicle operating status parameters, environmental perception data, and user configuration information; using a fusion algorithm to perform correlation analysis on the multi-source data, extracting core feature parameters, and eliminating data conflicts and redundancy; calling the corresponding control strategy model according to the feature parameters, and generating multi-domain collaborative control commands in combination with user personalized configurations; detecting cloud-based strategy update packages through OTA technology, and completing the update and replacement of the control algorithm and strategy library while ensuring driving safety; and pre-optimizing the generated control commands based on historical execution feedback data to improve command execution accuracy.

9. A vehicle core control unit domain control method according to claim 7, characterized in that, Step 3 specifically includes: performing protocol encoding and priority sorting on the collaborative control instructions, and prioritizing the issuance of safety-related instructions; converting the instruction format according to the actuator type, generating and issuing the appropriate drive signal; receiving the action completion signal and operating parameters fed back by the actuator, and extracting the execution index data; comparing the execution index with the expected effect, and if the target is met, proceeding to the next round of control cycle, and if the target is not met, adjusting the instruction parameters and reissuing the instruction.

10. A vehicle core control unit domain control method according to claim 7, characterized in that, Step 4 specifically includes: collecting system communication status, hardware operating parameters, and actuator operating data according to a preset cycle; comparing the collected data with the threshold range in the fault feature database to identify the fault type and severity level; triggering corresponding graded protection measures according to the severity level, recording only a prompt for minor faults, adjusting the control strategy for moderate faults, and activating the emergency driving mode for severe faults; recording complete fault information, uploading it to the cloud platform when the vehicle is connected to the network, and simultaneously displaying fault prompts and handling suggestions on the in-vehicle display screen.

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