Search

CN-122027439-A - Multi-bus fault grading linkage control method for full liquid crystal instrument of passenger car

CN122027439ACN 122027439 ACN122027439 ACN 122027439ACN-122027439-A

Abstract

The invention relates to the technical field of coordinated control and discloses a multi-bus fault hierarchical coordinated control method of a bus full-liquid crystal instrument, which comprises the steps of collecting fault data of buses of a target object in real time, analyzing the fault data to generate a coordinated influence weight value representing the influence of the bus fault on the coordinated operation of the target object, wherein the target object is a bus; the comprehensive influence of a single fault on the cooperative operation of the whole vehicle is accurately reflected by generating a linkage influence weight value, then the fault is divided into an emergency linkage level, a medium-priority linkage level and a low-priority linkage level according to a dynamic grading reference value, the self-adaptive grading of a fault processing sequence is realized, then a linkage risk comprehensive value is calculated, the dynamic threat degree of the concurrent fault to the stability of the vehicle is quantized, and finally differentiated linkage control is performed according to the linkage risk comprehensive value, so that accurate and efficient linkage control is realized under the concurrent fault of the passenger vehicle, and the safety and control cooperativity of the whole vehicle under a multi-bus concurrent fault scene are improved.

Inventors

  • KE ZHIDA
  • QIN ZHIQIANG

Assignees

  • 厦门金龙电控科技有限公司

Dates

Publication Date
20260512
Application Date
20260413

Claims (10)

  1. 1. The multi-bus fault grading linkage control method for the full liquid crystal instrument of the passenger car is characterized by comprising the following steps of: Step S1, collecting fault data of buses of a target object in real time, analyzing the fault data, and generating a linkage influence weight value representing the influence of the bus fault on the cooperative operation of the target object, wherein the target object is a passenger car; step S2, grading each bus fault according to the linkage influence weight value, and generating linkage priority representing linkage processing sequence of each bus fault; Step S3, analyzing the relevance of different bus faults according to the linkage priority of each bus, and generating a linkage risk comprehensive value for representing the threat degree of the concurrent faults to the stability of the target object; And S4, determining a coordinated control strategy of the multi-bus concurrent fault according to the coordinated risk comprehensive value.
  2. 2. The bus full-liquid crystal instrument multi-bus fault hierarchical linkage control method according to claim 1, wherein each bus comprises: The buses are respectively a CAN bus, a LIN bus and an Ethernet bus.
  3. 3. The bus full liquid crystal instrument multi-bus fault hierarchical linkage control method according to claim 1, wherein the fault data comprises: The fault data are fault type, fault starting and ending time, fault occurrence times, data packet loss rate and transmission delay; the fault type comprises a power fault code, a lamplight fault code and a display fault code.
  4. 4. The method for multi-bus fault hierarchical coordinated control of a bus full-liquid crystal instrument according to claim 3, wherein analyzing fault data to generate a coordinated influence weight value representing an influence of the bus fault on a cooperative operation of a target object comprises: Acquiring operation data of a target object in real time, wherein the operation data comprise vehicle speed, motor torque and brake pressure; and analyzing the relation between the fault and the current running state of the target object according to the running data and the fault type in the fault data to obtain a transient working condition disturbance factor of the fault on the control loop disturbance intensity of the target object.
  5. 5. The method for hierarchical coordinated control of bus faults in a full liquid crystal instrument of a passenger car according to claim 4, wherein the step of analyzing fault data to generate a coordinated influence weight value representing the influence of the bus faults on the coordinated operation of a target object, further comprises the steps of: Based on fault data, analyzing the propagation probability of faults among buses to obtain a cross-domain fault penetration index representing the diffusion risk of single bus faults to other buses; And performing association calculation on the transient working condition disturbance factor and the cross-domain fault penetration index to generate a linkage influence weight value representing the influence of the bus fault on the cooperative operation of the target object.
  6. 6. The method for hierarchical coordinated control of bus faults in a full liquid crystal instrument of a passenger car according to claim 5, wherein the steps of classifying each bus fault according to the coordinated influence weight value to generate a coordinated priority representing a coordinated processing sequence of each bus fault comprise: based on the transient working condition disturbance factor, analyzing the stability of the target object after the fault occurs, and carrying out combined calculation with the linkage influence weight value to obtain a transient dynamic risk coefficient representing the threat degree of the current bus fault to the stability of the target object; and analyzing the transient dynamic risk coefficient to generate linkage priority of each bus fault linkage processing sequence.
  7. 7. The method for hierarchical coordinated control of bus faults of a full liquid crystal instrument of a passenger car according to claim 6, wherein the method for hierarchical coordinated control of bus faults of the full liquid crystal instrument of the passenger car is characterized by analyzing the relevance of different bus faults according to the coordinated priority of each bus to generate a coordinated risk integrated value representing the threat degree of concurrent faults to the stability of a target object, and comprises the following steps: According to the transient power risk coefficient and the fault type, analyzing the influence of each fault on the speed of the target object by combining the operation data of the target object, and generating a multi-source power impact vector representing the disturbance amplitude of the concurrent fault on the motion state of the target object; and analyzing the association degree of the fault type on the control resource to obtain an execution coefficient reflecting the conflict strength of the concurrent fault execution resource.
  8. 8. The method for hierarchical coordinated control of bus faults of a full liquid crystal instrument of a passenger car according to claim 7, wherein the method is characterized by analyzing the relevance of different bus faults according to the coordinated priority of each bus to generate a coordinated risk integrated value representing the threat degree of concurrent faults to the stability of a target object, and further comprising: Based on the multisource power impact vector and the execution coefficient, analyzing the state track deviation of the target object after the concurrent fault occurs, and generating transient instability propagation potential energy representing that the fault coupling leads to instability of the target object.
  9. 9. The method for hierarchical coordinated control of bus faults of a full liquid crystal instrument of a passenger car according to claim 8, wherein the method is characterized by analyzing the relevance of different bus faults according to the coordinated priority of each bus to generate a coordinated risk integrated value representing the threat degree of concurrent faults to the stability of a target object, and further comprising: And carrying out cooperative calculation on the transient instability propagation potential energy and the linkage priority, and generating a linkage risk comprehensive value representing the threat degree of the concurrent fault to the stability of the target object.
  10. 10. The method for hierarchical coordinated control of multiple bus faults of a full liquid crystal instrument of a passenger car according to claim 9, wherein determining a coordinated control strategy of multiple bus concurrent faults according to the integrated value of the coordinated risk comprises: When the linkage risk integrated value is less than or equal to 1 and is 0.7, the linkage risk integrated value indicates that the concurrent faults have high relevance and high linkage control is needed, wherein the linkage control strategy is that the liquid crystal instrument alarms in a full screen mode, and an audible and visual alarm and a power adjustment reminding are triggered; when the linkage risk integrated value is smaller than or equal to 0.3 and smaller than or equal to 0.7, the linkage risk integrated value indicates that the correlation of concurrent faults is moderate, the linkage control is needed in the middle, and the linkage control strategy is that the liquid crystal instrument normally displays each fault code and triggers an audible and visual alarm; when the linkage risk integrated value is less than or equal to 0 and less than 0.3, the linkage risk integrated value indicates that the correlation of concurrent faults is low, low linkage control is needed, and the linkage control strategy is that the liquid crystal instrument displays each fault code according to the normal state.

Description

Multi-bus fault grading linkage control method for full liquid crystal instrument of passenger car Technical Field The invention relates to the technical field of coordinated control, in particular to a multi-bus fault grading coordinated control method of a full liquid crystal instrument of a passenger car. Background At present, the existing bus processes multiple bus concurrent faults in a mode of response one by one and independent classification, namely when a CAN bus (power related), a LIN bus (light related) and an Ethernet bus (instrument display related) simultaneously fail, each bus fault is respectively and independently early-warned, namely corresponding fault lamps are twinkled on a full liquid crystal instrument; However, the control mode still has the following defects that in the multi-bus concurrent faults of the passenger car, because the faults of the CAN bus, the LIN bus and the Ethernet bus are independently judged and responded in the prior art, the concurrent faults are not subjected to association analysis in time, so that the actual control response lacks the linkage, and the potential safety hazard caused by the faults is further aggravated. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a multi-bus fault grading linkage control method for a full liquid crystal instrument of a passenger car, which solves the problems. The technical aim of the invention is realized by the following technical scheme: A multi-bus fault grading linkage control method for a full liquid crystal instrument of a passenger car comprises the following steps: Step S1, collecting fault data of buses of a target object in real time, analyzing the fault data, and generating a linkage influence weight value representing the influence of the bus fault on the cooperative operation of the target object, wherein the target object is a passenger car; step S2, grading each bus fault according to the linkage influence weight value, and generating linkage priority representing linkage processing sequence of each bus fault; Step S3, analyzing the relevance of different bus faults according to the linkage priority of each bus, and generating a linkage risk comprehensive value for representing the threat degree of the concurrent faults to the stability of the target object; And S4, determining a coordinated control strategy of the multi-bus concurrent fault according to the coordinated risk comprehensive value. Further, each bus includes: The buses are respectively a CAN bus, a LIN bus and an Ethernet bus. Further, the fault data includes: The fault data are fault type, fault starting and ending time, fault occurrence times, data packet loss rate and transmission delay; the fault type comprises a power fault code, a lamplight fault code and a display fault code. Further, analyzing the fault data to generate a linkage influence weight value representing the influence of the bus fault on the cooperative operation of the target object, including: Acquiring operation data of a target object in real time, wherein the operation data comprise vehicle speed, motor torque and brake pressure; and analyzing the relation between the fault and the current running state of the target object according to the running data and the fault type in the fault data to obtain a transient working condition disturbance factor of the fault on the control loop disturbance intensity of the target object. Further, analyzing the fault data to generate a linkage influence weight value representing the influence of the bus fault on the cooperative operation of the target object, and further comprising: Based on fault data, analyzing the propagation probability of faults among buses to obtain a cross-domain fault penetration index representing the diffusion risk of single bus faults to other buses; And performing association calculation on the transient working condition disturbance factor and the cross-domain fault penetration index to generate a linkage influence weight value representing the influence of the bus fault on the cooperative operation of the target object. Further, classifying each bus fault according to the linkage influence weight value, generating a linkage priority indicating a linkage processing sequence of each bus fault, including: based on the transient working condition disturbance factor, analyzing the stability of the target object after the fault occurs, and carrying out combined calculation with the linkage influence weight value to obtain a transient dynamic risk coefficient representing the threat degree of the current bus fault to the stability of the target object; and analyzing the transient dynamic risk coefficient to generate linkage priority of each bus fault linkage processing sequence. Further, according to the linkage priority of each bus, the relevance of different bus faults is analyzed, and a linkage risk integrated value for representing the threat degree of the concurrent fa