Automobile internal wireless communication semiconductor module and method based on Bluetooth low-power-consumption technology

Abstract

The invention provides an automobile internal wireless communication semiconductor module and method based on a Bluetooth low-power-consumption technology. The method belongs to the technical field of intelligent network connection automobiles and vehicle-mounted communication. The method comprises the following steps: performing dynamic topology modeling on communication nodes in an automobile to generate multi-connection topology network data; the method comprises the following steps: deploying Bluetooth low-power 5.4 multi-link equipment according to multi-connection topology network data, and constructing a dynamic networking architecture; by means of the automobile internal wireless communication method based on the Bluetooth low-power-consumption technology, the stability and reliability of automobile internal communication are improved, the dynamic topology modeling and the self-adaptive frequency hopping technology enable a communication link to flexibly cope with dynamic scenes such as seat movement and automobile door opening and closing, and it is ensured that data transmission is not interrupted. The whole vehicle weight and the wiring cost are reduced, a large number of wire harnesses are replaced by wireless communication, the vehicle body burden is relieved, the wiring process is simplified, and the production cost is saved.

Description

Semiconductor Module and Method for In-Vehicle Wireless Communication Based on Bluetooth Low Energy Technology Technical Field

[0001] This invention proposes a semiconductor module and method for in-vehicle wireless communication based on Bluetooth Low Energy technology, belonging to the field of intelligent connected vehicles and vehicle communication technology. Background Technology

[0002] With the rapid development of automotive intelligence and electrification, the demand for in-vehicle communication is experiencing explosive growth. Traditional in-vehicle communication mainly relies on wired connections. The large number of wiring harnesses not only increases the weight of the vehicle, but also increases the complexity and cost of wiring, and limits the flexible layout and design innovation of the vehicle's interior space.

[0003] While existing automotive in-vehicle wireless communication solutions attempt to incorporate technologies such as Bluetooth Low Energy (BLE), they suffer from several fundamental flaws. Most solutions employ star or simple mesh network topologies, making them ill-suited for dynamic scenarios such as seat movement, door opening and closing, and module hot-swapping, resulting in poor communication stability. Furthermore, the dense arrangement of in-vehicle Wi-Fi, radar, and USB 3.0 devices often leads to a signal-to-noise ratio below 10dB in the 2.4GHz band, making standard BLE adaptive frequency hopping (AFH) insufficient to guarantee communication stability. Regarding security mechanisms, pairing keys are either factory-fixed or rely on user input, making them vulnerable to man-in-the-middle and replay attacks. Power consumption optimization is also somewhat one-sided, relying solely on the default BLE connection interval without dynamically adjusting communication strategies based on vehicle operating conditions.

[0004] Furthermore, existing published patents mostly focus on isolated applications such as "replacing CAN with BLE" and "connecting mobile phones and vehicle systems," failing to extend the requirements for stability, low power consumption, and reduced wiring harnesses to automotive-grade wireless communication operating systems with dynamic topology, secure clustering, interference perception, and edge collaboration. This fails to meet the urgent needs of intelligent electric vehicles for highly reliable, self-organizing, and certifiable in-vehicle wireless communication. Summary of the Invention

[0005] This invention provides a semiconductor module and method for in-vehicle wireless communication based on Bluetooth Low Energy technology, in order to solve the problems mentioned in the background section above:

[0006] The present invention proposes a method for in-vehicle wireless communication based on Bluetooth Low Energy technology, the method comprising:

[0007] S1. Perform dynamic topology modeling on the communication nodes inside the vehicle to generate multi-connection topology network data; deploy Bluetooth Low Energy 5.4 multi-link devices based on the multi-connection topology network data to build a dynamic networking architecture;

[0008] S2. Based on the dynamic networking architecture, perform physical layer security key negotiation to generate dynamic identity authentication key data; perform two-way authentication of the communication link through the dynamic identity authentication key data, and enable a time-varying encryption mechanism to resist replay attacks, thereby generating secure communication link data;

[0009] S3. Perform real-time spectrum sensing on the secure communication link, and collect signal-to-noise ratio and interference source distribution data in the 2.4GHz band; dynamically adjust the adaptive frequency hopping parameters based on the interference source distribution data to generate anti-interference frequency hopping sequence data; optimize the communication channel using the anti-interference frequency hopping sequence data to generate low-interference communication channel data;

[0010] S4. Based on vehicle operating status data, perform power consumption strategy matching on low-interference communication channels to generate dynamic connection interval parameters; use dynamic connection interval parameters to perform power consumption classification and control on Bluetooth Low Energy devices to generate ultra-low power communication mode data.

[0011] S5. Perform edge-coordinated control of in-vehicle sensors and actuators through ultra-low power communication mode data to generate decentralized control command data; virtualize and replace the vehicle wiring harness based on the decentralized control command data to generate wireless communication wiring harness reduction scheme data;

[0012] S6. Perform automotive-grade reliability verification on the wireless communication harness reduction scheme data and generate a communication stability assessment report; set risk warning thresholds based on the communication stability assessment report and generate in-vehicle wireless communication safety warning data.

[0013] The present invention proposes a semiconductor module for implementing the above-described method for in-vehicle wireless communication based on Bluetooth Low Energy technology, the semiconductor module comprising:

[0014] Architecture building unit: Perform dynamic topology modeling on the communication nodes inside the vehicle to generate multi-connection topology network data; deploy Bluetooth Low Energy 5.4 multi-link devices based on the multi-connection topology network data to build a dynamic networking architecture;

[0015] Two-way link unit: Based on dynamic networking architecture, physical layer security key negotiation is performed to generate dynamic identity authentication key data; the communication link is bidirectionally authenticated through dynamic identity authentication key data, and a time-varying encryption mechanism to resist replay attacks is enabled to generate secure communication link data;

[0016] Parameter adaptation unit: performs real-time spectrum sensing on the secure communication link, collects signal-to-noise ratio and interference source distribution data in the 2.4GHz band; dynamically adjusts adaptive frequency hopping parameters based on interference source distribution data to generate anti-interference frequency hopping sequence data; optimizes the communication channel using the anti-interference frequency hopping sequence data to generate low-interference communication channel data;

[0017] Strategy matching unit: performs power consumption strategy matching on low-interference communication channels based on vehicle operating status data to generate dynamic connection interval parameters; performs power consumption classification and control on Bluetooth Low Energy devices through dynamic connection interval parameters to generate ultra-low power communication mode data;

[0018] Collaborative control unit: Performs edge collaborative control of in-vehicle sensors and actuators through ultra-low power communication mode data to generate decentralized control command data; Based on the decentralized control command data, it virtualizes and replaces the on-board wiring harness to generate wireless communication wiring harness reduction scheme data;

[0019] Safety warning unit: Performs automotive-grade reliability verification on wireless communication harness reduction scheme data and generates a communication stability assessment report; sets risk warning thresholds based on the communication stability assessment report and generates in-vehicle wireless communication safety warning data.

[0020] The beneficial effects of this invention are as follows: By employing a vehicle-to-everything (V2X) wireless communication method based on Bluetooth Low Energy technology, the stability and reliability of in-vehicle communication are improved. Dynamic topology modeling and adaptive frequency hopping technology allow the communication link to flexibly handle dynamic scenarios such as seat movement and door opening / closing, ensuring uninterrupted data transmission. It reduces overall vehicle weight and wiring costs, as a large number of wiring harnesses are replaced by wireless communication, lightening the vehicle's load, simplifying the wiring process, and saving production costs. It enhances communication security; physical layer security keys and two-way authentication mechanisms effectively prevent man-in-the-middle attacks and replay attacks, ensuring the security of in-vehicle information transmission. It reduces the use of wiring harnesses, lowering the risk of failures caused by harness aging and damage, and improving vehicle durability. It avoids many problems caused by wiring harness layout limitations during vehicle upgrades and modifications using traditional wired communication, allowing for more flexible interior space layout. It not only meets the high-reliability, self-organizing wireless communication requirements of intelligent electric vehicles but also enables innovation in automotive-grade wireless communication operating systems, providing strong support for the intelligent development of automobiles. Attached Figure Description

[0021] Figure 1 is a flowchart of the method steps described in this invention;

[0022] Figure 2 is a diagram of the semiconductor structure described in this invention. Detailed Implementation

[0023] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0024] An embodiment of the present invention, as shown in FIG1, provides a method for in-vehicle wireless communication based on Bluetooth Low Energy technology, the method comprising:

[0025] S1. Perform dynamic topology modeling on the communication nodes inside the vehicle to generate multi-connection topology network data; deploy Bluetooth Low Energy 5.4 multi-link devices based on the multi-connection topology network data to construct a dynamic networking architecture, which supports hot-swapping of nodes and spatial location adaptation.

[0026] S2. Based on the dynamic networking architecture, perform physical layer security key negotiation to generate dynamic identity authentication key data; perform two-way authentication of the communication link through the dynamic identity authentication key data, and enable a time-varying encryption mechanism to resist replay attacks, thereby generating secure communication link data;

[0027] S3. Perform real-time spectrum sensing on the secure communication link, and collect signal-to-noise ratio and interference source distribution data in the 2.4GHz band; dynamically adjust the adaptive frequency hopping parameters based on the interference source distribution data to generate anti-interference frequency hopping sequence data; optimize the communication channel using the anti-interference frequency hopping sequence data to generate low-interference communication channel data;

[0028] S4. Based on vehicle operating status data, perform power consumption strategy matching on low-interference communication channels to generate dynamic connection interval parameters; use dynamic connection interval parameters to perform power consumption classification and control on Bluetooth Low Energy devices to generate ultra-low power communication mode data.

[0029] S5. Perform edge-coordinated control of in-vehicle sensors and actuators through ultra-low power communication mode data to generate decentralized control command data; virtualize and replace the vehicle wiring harness based on the decentralized control command data to generate wireless communication wiring harness reduction scheme data;

[0030] S6. Perform automotive-grade reliability verification on the wireless communication harness reduction scheme data and generate a communication stability assessment report; set risk warning thresholds based on the communication stability assessment report and generate in-vehicle wireless communication safety warning data.

[0031] The working principle and effects of the above technical solution are as follows: A dynamic networking architecture supports hot-swapping and adaptive positioning of nodes, avoiding communication interruptions caused by node changes or device additions / removals. Physical layer key negotiation and time-varying encryption mechanisms improve the security of in-vehicle communication, reduce the risk of data leakage and malicious attacks, and prevent information tampering caused by replay attacks. Anti-interference frequency hopping optimizes the communication channel, enhances signal transmission stability, reduces the impact of 2.4GHz band interference on communication quality, and prevents signal delays or interruptions from affecting the coordination of in-vehicle devices. Dynamic power consumption hierarchical control reduces the power consumption of Bluetooth devices and the vehicle's power supply load, meeting communication needs under different operating conditions and extending the battery life of in-vehicle devices. The wireless wiring harness reduction solution reduces the amount of traditional wiring harnesses, lowers wiring complexity and failure probability, and avoids short-circuit risks caused by aging and wear of wiring harnesses. Automotive-grade verification and risk warning improve communication reliability and enhance driving safety, adapting to complex vehicle operating scenarios and avoiding control errors caused by communication failures, thus comprehensively improving the practical value and security level of in-vehicle wireless communication.

[0032] In one embodiment of the present invention, S1 includes:

[0033] S11. Collect the location and functional attribute data of the communication nodes inside the vehicle and generate a basic attribute dataset of the nodes; perform dynamic topology association analysis on the basic attribute dataset of the nodes to generate multi-connection topology network data.

[0034] S12. Match the deployment locations of Bluetooth Low Energy 5.4 multi-link devices based on the multi-connection topology network data, and generate device deployment planning data;

[0035] S13. Based on the equipment deployment planning data, complete the on-site deployment of Bluetooth Low Energy 5.4 multi-link devices and build a dynamic networking architecture;

[0036] S14. Perform hot-swap adaptation and debugging of nodes in the dynamic networking architecture to generate spatial location adaptive networking data.

[0037] The working principle and effects of the above technical solution are as follows: By accurately collecting communication node location and functional attribute data, combined with dynamic topology correlation analysis, the targeting of network planning is improved, avoiding signal coverage blind spots or equipment idleness caused by blind deployment. Based on the topology network data, device deployment points are matched to enhance the rationality of Bluetooth device layout, reduce signal interference caused by improper device spacing, and reduce ineffective deployment costs. The dynamic network architecture built after on-site deployment, coupled with hot-swappable node adaptation and debugging, enhances the flexible adaptability of the vehicle communication network, avoiding the hassle of overall network reconstruction when nodes are added, removed, or their positions change, without interrupting overall communication. The generation of spatially adaptive network data improves the network's adaptability to the complex environment inside the vehicle, reducing the impact of road bumps and device relocation on communication stability. This design can meet the needs of multi-node collaborative communication and cope with scenarios of temporary additions and removals of vehicle devices, further improving network efficiency, reducing subsequent network maintenance workload, avoiding insufficient communication adaptation due to network rigidity, and laying a solid foundation for subsequent secure communication.

[0038] In one embodiment of the present invention, S11 includes:

[0039] Collect the physical installation location information of each communication node inside the vehicle to generate a raw dataset of node locations;

[0040] Collect the functional types and transmission attribute information of each communication node inside the vehicle to generate a raw dataset of node functions;

[0041] By merging the original dataset of node locations and the original dataset of node functions, a dataset of basic node attributes is generated.

[0042] Calculate the inter-node communication correlation degree on the node basic attribute dataset to generate node correlation degree feature data;

[0043] Dynamic topology structure is constructed based on node correlation feature data to generate multi-connection topology network data.

[0044] The working principle and effects of the above technical solution are as follows: Separately collecting the location and functional attribute information of communication nodes ensures the integrity of the original data and avoids omissions of core node attributes due to single-dimensional collection, which could lead to deviations in subsequent topology construction. Merging the two types of original datasets to generate basic attribute data improves the integration of node information, reduces correlation analysis errors caused by data dispersion, and presents node characteristics more comprehensively. Calculating the communication correlation degree between nodes on the basic attribute dataset enhances the accuracy of node connection relationship assessment, avoiding node connection chaos or redundancy during topology construction, which could affect communication efficiency. Constructing a dynamic topology based on correlation characteristics allows the network structure to fit the actual node correlation situation, improving the rationality of the network and reducing the workload of subsequent network optimization. This step-by-step processing method ensures the reliability of data at each step and allows the topology construction to fit the actual needs of the vehicle communication scenario, avoiding the inability of the topology network to adapt to multi-node collaborative communication due to data deviations or inadequate correlation analysis. Simultaneously, it reduces the interference of invalid data on topology construction, further improving the stability of the subsequent network architecture and providing solid data support for overall wireless communication.

[0045] In one embodiment of the present invention, S2 includes:

[0046] S21. Extract keys based on the physical layer channel characteristics of the dynamic networking architecture to generate initial key negotiation data; dynamically iterate and update the initial key negotiation data to generate dynamic identity authentication key data.

[0047] S22. Perform bidirectional identity verification on the nodes at both ends of the communication link using dynamic identity authentication key data, and generate link authentication pass data;

[0048] S23. Based on link authentication, a time-varying encryption mechanism to resist replay attacks is enabled through data to generate basic data for encrypted communication links;

[0049] S24. Dynamically adapt the encryption strength of the basic data of the encrypted communication link to generate secure communication link data.

[0050] The working principle and effects of the above technical solution are as follows: Channel features are extracted from the physical layer of the dynamic networking architecture to generate a key, which is then dynamically iteratively updated to ensure the authentication key remains valid, preventing the long-term use of fixed keys from being cracked and leading to the leakage of vehicle communication data. This key is used for bidirectional verification of nodes at both ends of the link, improving the accuracy of identity recognition, reducing the risk of unauthorized nodes impersonating and accessing the network, and preventing unauthorized access from interfering with normal communication. A time-varying encryption mechanism is enabled based on the authentication result to resist replay attacks, enhancing the link's anti-interference and anti-tampering capabilities, preventing the malicious reuse of past communication data, and avoiding erroneous execution of vehicle equipment commands. The encryption strength is dynamically adapted to the basic data of the encrypted link, addressing the security requirements of complex vehicle environments while avoiding excessive encryption that wastes device power, thus balancing security and energy consumption. The entire process progressively strengthens communication security, reducing the probability of data theft and tampering, and avoiding security vulnerabilities inherent in single encryption or authentication methods. Simultaneously, it improves the adaptability of link security, enabling the communication link to cope with dynamic changes in vehicle scenarios, providing reliable security for subsequent low-interference, low-power communication.

[0051] In one embodiment of the present invention, step S21 includes:

[0052] Collect physical layer channel response and noise characteristic data of dynamic networking architecture to generate raw channel characteristic data;

[0053] The raw channel feature data is subjected to feature filtering and numerical quantization to generate quantized channel feature data.

[0054] Key extraction operations are performed based on channel feature quantization data to generate initial key negotiation data;

[0055] Perform a time-series iterative update operation on the initial key negotiation data to generate iterative key update data;

[0056] The iterative key update data is integrated to complete the dynamic key calibration and generate dynamic identity authentication key data.

[0057] The working principle and effects of the above technical solution are as follows: Synchronous acquisition of physical layer channel response and noise characteristic data enables complete capture of channel dynamic characteristics, avoiding the partiality of raw data caused by single feature acquisition, which could affect the reliability of subsequent key extraction. Feature filtering and numerical quantization of the raw data eliminate invalid interference data, improving the accuracy of feature data and reducing the interference of redundant information on key operations, making the extracted key more closely match the actual channel scenario. Initial key extraction based on quantized data enhances the adaptability of the key to the vehicle communication environment, preventing the key and channel characteristics from becoming disconnected, thus avoiding authentication failure. Iterative updates of the initial key in a time sequence break the limitations of fixed keys, reduce the probability of key cracking, and avoid security vulnerabilities caused by long-term use of the same key. Integrating iterative data to complete dynamic key calibration ensures the timeliness of the key while avoiding excessive key fluctuations during iteration, which could lead to unstable link authentication. The entire process forms a closed loop for key generation, updating, and calibration, further improving the security and stability of authentication, strengthening the physical layer security defense for vehicle wireless communication, and reducing the threat of external attacks to the communication link.

[0058] In one embodiment of the present invention, S3 includes:

[0059] S31. Perform real-time spectrum scanning on the 2.4GHz frequency band covered by the secure communication link and collect raw signal-to-noise ratio data of the frequency band;

[0060] S32. Locate and classify interference sources from the raw signal-to-noise ratio data of the frequency band to generate interference source distribution data;

[0061] S33. Calculate the frequency hopping avoidance interval based on the interference source distribution data, and generate data for adjusting frequency hopping parameters.

[0062] S34. Dynamically correct the adaptive frequency hopping rule based on the frequency hopping parameter adjustment data to generate anti-interference frequency hopping sequence data;

[0063] S35. Real-time switching and optimization of the communication channel are performed using anti-interference frequency hopping sequence data to generate low-interference communication channel data.

[0064] The working principle and effects of the above technical solution are as follows: Real-time spectrum scanning of the 2.4GHz band collects signal-to-noise ratio data, enabling timely capture of frequency band signal changes and preventing interference signals from continuously affecting communication quality and increasing data transmission error rate. The raw data is used for interference source localization and classification, accurately identifying the type and location of interference, improving the targeting of anti-interference processing, reducing resource waste caused by blind frequency hopping, and making subsequent adjustments more targeted. Frequency hopping avoidance intervals are calculated based on interference distribution, providing precise support for frequency hopping parameter adjustments and preventing overlap between frequency hopping intervals and interference sources, thus avoiding further exacerbating communication interference. Dynamically correcting adaptive frequency hopping rules generates anti-interference sequences, enhancing the channel's ability to cope with complex interference, adapting to scenarios with dynamically changing interference sources in the vehicle environment, and avoiding the problem of fixed frequency hopping rules being unable to adapt to interference fluctuations. Real-time switching and optimization of the channel through the frequency hopping sequence generates a low-interference communication channel, significantly improving signal transmission stability and reducing the risk of communication interruption. The entire process ensures the targeting of frequency hopping while avoiding ineffective frequency hopping that consumes equipment power, balancing communication quality and energy consumption requirements. At the same time, it reduces the impact of interference on the coordinated control of on-board equipment, avoids delays in actuator commands due to signal interference, and lays a stable foundation for subsequent ultra-low power communication.

[0065] In one embodiment of the present invention, step S4 includes:

[0066] S41. Collect vehicle operating status data, including driving speed, engine condition, and vehicle electrical load, and generate a real-time vehicle status dataset.

[0067] S42. Perform power consumption demand matching analysis on the real-time vehicle status dataset to generate dynamic power consumption strategy data;

[0068] S43. Set the connection interval values ​​for different communication scenarios based on the dynamic power consumption strategy data, and generate dynamic connection interval parameters;

[0069] S44. The communication cycle of Bluetooth Low Energy devices is graded and adjusted by dynamic connection interval parameters to generate device power consumption graded data.

[0070] S45. Integrate communication mode parameters based on device power consumption classification data to generate ultra-low power communication mode data.

[0071] The working principle and effects of the above technical solution are as follows: Comprehensive data collection of vehicle speed, engine operating conditions, and onboard electrical load enables complete capture of the vehicle's real-time operating status, avoiding issues such as power consumption strategies deviating from actual needs due to missing data in a single dimension, leading to excessive energy consumption or unstable communication. Power consumption demand matching analysis is performed on real-time status data, allowing the power consumption strategy to adapt to different driving scenarios, improving strategy adaptability, reducing ineffective power consumption, and alleviating the pressure on vehicle power supply. Based on the strategy, different connection interval values ​​are set for different scenarios, achieving precise control of the communication cycle and avoiding the drawbacks of fixed connection intervals in different scenarios such as high speed and idling, which either waste power or affect communication. By hierarchically adjusting the Bluetooth device communication cycle through interval parameters, power consumption hierarchical data is generated, making power consumption control more layered, meeting the communication needs of core devices while reducing the energy consumption of non-critical devices. Integrating hierarchical data to generate an ultra-low power communication mode ensures the stability of collaborative communication between onboard devices while minimizing energy consumption, balancing communication quality and power consumption requirements. The entire process avoids communication interruptions caused by blindly controlling energy consumption, while reducing the load on the vehicle battery, extending the device's battery life, and providing efficient and energy-saving operation support for wireless communication within the vehicle, adapting to the complex and ever-changing operating scenarios of the vehicle.

[0072] In one embodiment of the present invention, S44 includes:

[0073] S441. Extract the period threshold range from the dynamic connection interval parameters to generate communication period grade data; adjust the transmit and receive cycle of the Bluetooth Low Energy device according to the communication period grade data to generate period control data.

[0074] S442. Real-time acquisition of device power consumption corresponding to periodic control data, generating real-time power consumption monitoring data;

[0075] S443. Combine real-time power consumption monitoring data to classify device power consumption levels and generate power consumption level classification data;

[0076] S444. Verify the compatibility between the power consumption level classification data and the periodic control data, and generate device power consumption classification data.

[0077] The working principle and effects of the above technical solution are as follows: Extracting the periodic threshold range from the dynamic connection interval parameters to generate tiered levels provides a clear basis for adjusting the Bluetooth device's transmit / receive cycle, avoiding blind adjustments that lead to unreasonable cycles, excessive power consumption, or disruptions to communication continuity. Adjusting the transmit / receive cycle according to the tiers generates control data, enhancing the accuracy of power consumption control, reducing energy waste caused by cycle conflicts between different devices, and ensuring that the operating rhythm of each device matches the scenario's needs. Real-time collection of device power consumption data after adjustment allows for timely detection of power consumption changes, preventing undetected power consumption exceeding limits and excessive load on the vehicle battery. Combining monitoring data to classify power consumption levels breaks the limitations of a single power consumption standard, making power consumption control more targeted and preventing communication disruptions in core devices due to a one-size-fits-all approach. Calibrating the compatibility between the tiered classification and cycle adjustment ensures a high degree of matching, avoiding ineffective power consumption or communication interruptions caused by mismatches, making power consumption tiering more scientific. The entire process accurately controls Bluetooth device power consumption while ensuring communication stability, balancing power consumption and communication needs. At the same time, it reduces the workload of later power consumption optimization, avoids repeated adjustments due to improper control, and provides reliable data support for ultra-low power communication mode.

[0078] In one embodiment of the present invention, S441 includes:

[0079] Collect the core period values ​​in the dynamic connection interval parameters to generate the raw data for the period threshold;

[0080] The original data of the periodic threshold is divided into intervals and gears to generate gear division boundary data.

[0081] Integrate gear segmentation boundary data to form a standardized gear system and generate hierarchical gear data for communication cycles;

[0082] The corresponding communication cycle tier data sets the baseline value for each tier's transmit / receive cycle and generates cycle adjustment parameters;

[0083] The parameters are adjusted periodically to adapt to the Bluetooth Low Energy device's transceiver mechanism, generating periodic control data.

[0084] The working principle and effects of the above technical solution are as follows: Collecting the core period values ​​from the dynamic connection interval parameters accurately captures key parameter information, avoiding the inclusion of redundant values ​​that could interfere with subsequent processing, distort the original period threshold data, and affect the scientific nature of the level division. Dividing the original data into intervals and defining levels clarifies the boundaries of each level, improving the rationality of level division and avoiding level overlap or gaps that could lead to a lack of corresponding standards for control. Integrating boundary data to form a standardized level system enhances the uniformity of period control, reduces control confusion caused by inconsistent level standards between different devices, and allows for smoother collaborative operation of Bluetooth devices. Setting a transmit / receive cycle benchmark value for each level provides a precise reference for device control, avoiding excessive parameter deviations during adaptation, which could lead to either excessive power consumption or reduced communication timeliness. Generating control data based on the Bluetooth device's transmit / receive mechanism adapts to the parameters, ensuring that period adjustments align with the device's operating characteristics while avoiding forced adaptation that could cause device malfunctions or communication interruptions. The entire process involves detailed parameter processing at each level, which improves the accuracy of cycle control, reduces ineffective power consumption, and avoids control errors caused by a chaotic gear system. This provides rigorous parameter support for subsequent power consumption classification and ultra-low power mode construction, adapting to the dynamic needs of automotive scenarios.

[0085] In one embodiment of the present invention, step S5 includes:

[0086] S51. Establish an edge communication link between the sensor and the actuator based on ultra-low power communication mode data, and generate edge collaborative communication data;

[0087] S52. Perform local computation and instruction distribution on edge collaborative communication data to generate decentralized control instruction data;

[0088] S53. Based on the decentralized control command data, sort out the signal transmission path of the vehicle's traditional wiring harness and generate wiring harness transmission alternative path data;

[0089] S54. Based on the alternative path data for wire harness transmission, complete the functional replacement of traditional wire harness by wireless communication and generate basic data for wireless communication to reduce wire harness.

[0090] S55. Perform functional integrity verification on the basic data of wireless communication harness reduction and generate wireless communication harness reduction scheme data.

[0091] The working principle and effects of the above technical solution are as follows: An edge communication link between sensors and actuators is established based on an ultra-low power communication mode, improving the collaborative response speed between devices, reducing command delays caused by centralized transmission, and avoiding control lag caused by data detours. Local computation and command distribution are performed on edge collaborative data, enhancing the real-time performance of control commands, reducing the computational load on the central node, and avoiding overall control failure caused by single-point failures. Harness replacement paths are streamlined based on decentralized commands, improving the matching degree of harness replacement, reducing wiring redundancy in traditional harnesses, and avoiding signal crosstalk caused by messy harnesses. Harness function replacement is completed through wireless communication, reducing the amount of vehicle harnesses and the overall vehicle weight, reducing wiring costs and subsequent maintenance workload, and avoiding short circuits or signal interruptions caused by harness aging and wear. Functional verification is performed on the basic data of the replaced harnesses to ensure the integrity of the replacement solution and avoid functional deficiencies affecting normal equipment operation. This solution effectively replaces traditional harnesses while ensuring the stability of vehicle control, improving vehicle lightweighting, and providing reliable support for the practical application of vehicle wireless communication.

[0092] In one embodiment of the present invention, step S6 includes:

[0093] S61. Build an automotive-grade reliability testing environment, conduct multi-scenario simulation tests on wireless communication harness reduction scheme data, and generate raw test data.

[0094] S62. Perform communication stability index statistics on the raw test data and generate a communication stability assessment report; identify communication risk points based on the communication stability assessment report and generate data for setting risk warning thresholds.

[0095] S63. Based on the risk warning threshold setting, complete the hierarchical setting of the warning threshold according to the data and generate the warning threshold configuration data;

[0096] S64. Establish a communication security early warning mechanism by configuring early warning threshold data, and generate in-vehicle wireless communication security early warning data.

[0097] The working principle and effects of the above technical solution are as follows: It establishes an automotive-grade reliability testing environment and conducts multi-scenario simulation tests, improving the comprehensiveness of wireless communication harness reduction solution verification and avoiding the omission of potential risks in a single test scenario, which could lead to sudden communication failures after actual vehicle installation. It statistically analyzes communication stability indicators from the raw test data and generates an evaluation report, enhancing the accuracy of risk point identification, reducing the chances of hidden communication hazards going undetected, and preventing the persistence of risks that could cause subsequent operational problems. Based on risk identification criteria, it sets warning thresholds in a graded manner, improving the rationality of warning configuration and avoiding either overly lenient thresholds that result in missed warnings or overly strict thresholds that lead to frequent false alarms and interfere with normal communication monitoring. By configuring thresholds, it establishes a safety warning mechanism and generates warning data, enhancing the proactive prevention and control capabilities of communication security and reducing driving risks caused by communication failures. It can both detect communication anomalies in advance and issue warnings, and shorten the fault handling response time, preventing delays in vehicle control commands due to communication failures. The entire process improves the automotive-grade adaptability of the solution, reduces the failure rate in actual applications, and builds a solid safety defense for the stable operation of wireless communication within automobiles.

[0098] An embodiment of the present invention provides a semiconductor module for implementing the in-vehicle wireless communication method based on Bluetooth Low Energy technology as described above, the semiconductor module comprising:

[0099] Architecture building unit: Perform dynamic topology modeling on the communication nodes inside the vehicle to generate multi-connection topology network data; deploy Bluetooth Low Energy 5.4 multi-link devices based on the multi-connection topology network data to build a dynamic networking architecture, which supports hot-swapping of nodes and spatial location adaptation;

[0100] Two-way link unit: Based on dynamic networking architecture, physical layer security key negotiation is performed to generate dynamic identity authentication key data; the communication link is bidirectionally authenticated through dynamic identity authentication key data, and a time-varying encryption mechanism to resist replay attacks is enabled to generate secure communication link data;

[0101] Parameter adaptation unit: performs real-time spectrum sensing on the secure communication link, collects signal-to-noise ratio and interference source distribution data in the 2.4GHz band; dynamically adjusts adaptive frequency hopping parameters based on interference source distribution data to generate anti-interference frequency hopping sequence data; optimizes the communication channel using the anti-interference frequency hopping sequence data to generate low-interference communication channel data;

[0102] Strategy matching unit: performs power consumption strategy matching on low-interference communication channels based on vehicle operating status data to generate dynamic connection interval parameters; performs power consumption classification and control on Bluetooth Low Energy devices through dynamic connection interval parameters to generate ultra-low power communication mode data;

[0103] Collaborative control unit: Performs edge collaborative control of in-vehicle sensors and actuators through ultra-low power communication mode data to generate decentralized control command data; Based on the decentralized control command data, it virtualizes and replaces the on-board wiring harness to generate wireless communication wiring harness reduction scheme data;

[0104] Safety warning unit: Performs automotive-grade reliability verification on wireless communication harness reduction scheme data and generates a communication stability assessment report; sets risk warning thresholds based on the communication stability assessment report and generates in-vehicle wireless communication safety warning data.

[0105] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for in-vehicle wireless communication based on Bluetooth Low Energy technology, characterized in that, The method includes: S1, performing dynamic topology modeling of the communication nodes inside the vehicle to generate multi-connection topology network data; deploying Bluetooth Low Energy 5.4 multi-link devices based on the multi-connection topology network data to construct a dynamic networking architecture; S2, performing physical layer security key negotiation based on the dynamic networking architecture to generate dynamic identity authentication key data; performing bidirectional authentication of the communication link using the dynamic identity authentication key data and enabling a time-varying encryption mechanism to resist replay attacks, generating secure communication link data; S3, performing real-time spectrum sensing on the secure communication link, collecting signal-to-noise ratio and interference source distribution data in the 2.4GHz band; dynamically adjusting adaptive frequency hopping parameters based on the interference source distribution data to generate anti-interference frequency hopping sequence data; optimizing the communication channel using the anti-interference frequency hopping sequence data. S4. Generate low-interference communication channel data; S5. Perform power consumption strategy matching on the low-interference communication channel based on vehicle operating status data to generate dynamic connection interval parameters; Perform power consumption classification and control on Bluetooth Low Energy devices through dynamic connection interval parameters to generate ultra-low power communication mode data; S6. Perform edge collaborative control on in-vehicle sensors and actuators through ultra-low power communication mode data to generate decentralized control command data; Perform virtualization replacement on-board wiring harnesses based on decentralized control command data to generate wireless communication wiring harness reduction scheme data; S7. Perform automotive-grade reliability verification on wireless communication wiring harness reduction scheme data to generate communication stability assessment report; Set risk warning thresholds based on communication stability assessment report to generate in-vehicle wireless communication safety warning data.

2. The automotive in-vehicle wireless communication method based on Bluetooth Low Energy technology according to claim 1, characterized in that, S1 includes: S11, collecting location and functional attribute data of communication nodes inside the vehicle to generate a node basic attribute dataset; performing dynamic topology association analysis on the node basic attribute dataset to generate multi-connection topology network data; S12, matching the deployment locations of Bluetooth Low Energy 5.4 multi-link devices according to the multi-connection topology network data to generate device deployment planning data; S13, completing the on-site deployment of Bluetooth Low Energy 5.4 multi-link devices according to the device deployment planning data to construct a dynamic networking architecture; S14, performing hot-swappable node adaptation and debugging on the dynamic networking architecture to generate spatial location adaptive networking data.

3. The automotive in-vehicle wireless communication method based on Bluetooth Low Energy technology according to claim 1, characterized in that, S2 includes: S21, extracting keys based on the physical layer channel characteristics of the dynamic networking architecture to generate initial key negotiation data; dynamically iteratively updating the initial key negotiation data to generate dynamic identity authentication key data; S22, performing bidirectional identity verification on the nodes at both ends of the communication link using the dynamic identity authentication key data to generate link authentication pass data; S23, enabling a time-varying encryption mechanism against replay attacks based on the link authentication pass data to generate encrypted communication link basic data; S24, dynamically adapting the encryption strength of the encrypted communication link basic data to generate secure communication link data.

4. The automotive in-vehicle wireless communication method based on Bluetooth Low Energy technology according to claim 1, characterized in that, S3 includes: S31, performing real-time spectrum scanning on the 2.4GHz frequency band covered by the secure communication link and collecting raw signal-to-noise ratio (SNR) data of the frequency band; S32, locating and classifying interference sources from the raw SNR data of the frequency band and generating interference source distribution data; S33, calculating the frequency hopping avoidance interval based on the interference source distribution data and generating frequency hopping parameter adjustment basis data; S34, dynamically correcting the adaptive frequency hopping rule based on the frequency hopping parameter adjustment basis data and generating anti-interference frequency hopping sequence data; S35, performing real-time switching and optimization of the communication channel using the anti-interference frequency hopping sequence data and generating low-interference communication channel data.

5. The automotive in-vehicle wireless communication method based on Bluetooth Low Energy technology according to claim 1, characterized in that, S4 includes: S41, collecting vehicle operating status data, including driving speed, engine operating condition, and on-board electrical load, to generate a real-time vehicle status dataset; S42, performing power consumption demand matching analysis on the real-time vehicle status dataset to generate dynamic power consumption strategy data; S43, setting connection interval values ​​for different communication scenarios based on the dynamic power consumption strategy data to generate dynamic connection interval parameters; S44, using the dynamic connection interval parameters to hierarchically adjust the communication cycle of Bluetooth Low Energy devices to generate device power consumption hierarchical data; S45, integrating communication mode parameters based on the device power consumption hierarchical data to generate ultra-low power communication mode data.

6. The automotive in-vehicle wireless communication method based on Bluetooth Low Energy technology according to claim 5, characterized in that, S44 includes: S441, extracting the periodic threshold range from the dynamic connection interval parameters to generate communication period classification level data; adjusting the transmit / receive cycle of the Bluetooth Low Energy device according to the communication period classification level data to generate periodic control data; S442, collecting the device power consumption corresponding to the periodic control data in real time to generate real-time power consumption monitoring data; S443, dividing the device power consumption levels by combining the real-time power consumption monitoring data to generate power consumption level classification data; S444, calibrating the compatibility between the power consumption level classification data and the periodic control data to generate device power consumption classification data.

7. The automotive in-vehicle wireless communication method based on Bluetooth Low Energy technology according to claim 6, characterized in that, S441 includes: collecting the core period value in the dynamic connection interval parameter to generate the original period threshold data; dividing the original period threshold data into intervals and defining the levels to generate level division boundary data; integrating the level division boundary data to form a standardized level system and generating communication period grade level data; setting the transmit / receive cycle benchmark value for each level according to the communication period grade level data and generating period adjustment parameters; and adapting the Bluetooth Low Energy device transmit / receive mechanism according to the period adjustment parameters to generate period control data.

8. The in-vehicle wireless communication method based on Bluetooth Low Energy technology according to claim 1, characterized in that, S5 includes: S51, establishing an edge communication link between the sensor and the actuator based on ultra-low power communication mode data, and generating edge collaborative communication data; S52, performing local calculation and instruction distribution on the edge collaborative communication data, and generating decentralized control instruction data; S53, sorting out the signal transmission path of the vehicle's traditional wiring harness according to the decentralized control instruction data, and generating wiring harness transmission alternative path data; S54, completing the functional replacement of the traditional wiring harness by wireless communication according to the wiring harness transmission alternative path data, and generating basic data for wireless communication wiring harness reduction; S55, performing functional integrity verification on the basic data for wireless communication wiring harness reduction, and generating wireless communication wiring harness reduction scheme data.

9. The automotive in-vehicle wireless communication method based on Bluetooth Low Energy technology according to claim 1, characterized in that, S6 includes: S61, setting up an automotive-grade reliability testing environment, conducting multi-scenario simulation tests on wireless communication harness reduction scheme data, and generating raw test data; S62, performing communication stability index statistics on the raw test data, and generating a communication stability assessment report; identifying communication risk points based on the communication stability assessment report, and generating risk warning threshold setting basis data; S63, completing the hierarchical setting of warning thresholds based on the risk warning threshold setting basis data, and generating warning threshold configuration data; S64, establishing a communication security warning mechanism through the warning threshold configuration data, and generating in-vehicle wireless communication security warning data.

10. A semiconductor module for implementing the in-vehicle wireless communication method based on Bluetooth Low Energy technology as described in claim 1, characterized in that, The semiconductor module includes: an architecture building unit: performing dynamic topology modeling of the communication nodes inside the vehicle to generate multi-connection topology network data; deploying Bluetooth Low Energy 5.4 multi-link devices based on the multi-connection topology network data to build a dynamic networking architecture; a bidirectional link unit: performing physical layer security key negotiation based on the dynamic networking architecture to generate dynamic identity authentication key data; performing bidirectional authentication of the communication link through the dynamic identity authentication key data and enabling a time-varying encryption mechanism to resist replay attacks, generating secure communication link data; and a parameter adaptation unit: performing real-time spectrum sensing of the secure communication link, collecting signal-to-noise ratio and interference source distribution data in the 2.4GHz band; dynamically adjusting adaptive frequency hopping parameters based on the interference source distribution data to generate anti-interference frequency hopping sequence data; and optimizing the communication channel through the anti-interference frequency hopping sequence data. The system comprises the following components: a low-interference communication channel data generation unit; a strategy matching unit that performs power consumption strategy matching on the low-interference communication channel based on vehicle operating status data to generate dynamic connection interval parameters; a power consumption classification and control unit that performs power consumption classification and control on Bluetooth Low Energy devices based on the dynamic connection interval parameters to generate ultra-low power communication mode data; a collaborative control unit that performs edge collaborative control on in-vehicle sensors and actuators based on the ultra-low power communication mode data to generate decentralized control command data; a virtualization replacement unit that performs virtualization replacement on in-vehicle wiring harnesses based on the decentralized control command data to generate wireless communication wiring harness reduction scheme data; and a safety warning unit that performs automotive-grade reliability verification on the wireless communication wiring harness reduction scheme data to generate a communication stability assessment report; and a risk warning threshold that is set based on the communication stability assessment report to generate in-vehicle wireless communication safety warning data.

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