Search

CN-122017584-A - Vehicle cloud cooperative offline detection method, device, equipment and storage medium

CN122017584ACN 122017584 ACN122017584 ACN 122017584ACN-122017584-A

Abstract

The invention provides a vehicle cloud cooperative offline detection method, device, equipment and storage medium. The method comprises the steps of constructing a four-dimensional digital twin body, wherein the four-dimensional digital twin body is used for describing a battery mechanism from a geometric dimension, a physical dimension, a behavior dimension and a rule dimension, predicting battery risks and executing rigid safety protection, and performing off-line detection of vehicle cloud coordination based on the four-dimensional digital twin body. In the mode, the health detection of the battery cell level battery can be realized, the detection barrier of the three-electric system is broken, and the electric control verification period is compressed.

Inventors

  • Si Guangdong
  • LEI YONGFU
  • LUO JIE

Assignees

  • 奇瑞汽车股份有限公司

Dates

Publication Date
20260512
Application Date
20260130

Claims (10)

  1. 1. The method for detecting the offline of the vehicle cloud cooperation is characterized by comprising the following steps of: constructing a four-dimensional digital twin body, wherein the four-dimensional digital twin body is used for describing a battery mechanism, predicting battery risks and executing rigid safety protection from geometric dimension, physical dimension, behavioral dimension and rule dimension; And performing off-line detection of vehicle cloud cooperation based on the four-dimensional digital twin body.
  2. 2. The method of claim 1, wherein the geometric dimensions of the four-dimensional digital twin comprise: and the four-dimensional digital twin body establishes a battery pack point cloud model through computer tomography.
  3. 3. The method of claim 1, wherein the physical dimensions of the four-dimensional digital twin comprise: The four-dimensional digital twin body describes the circuit characteristics of the battery through a macroscopic scale; the four-dimensional digital twin describes ion diffusion of the battery through mesoscale; The four-dimensional digital twins describe the atomic interactions of the cell on a microscopic scale.
  4. 4. The method of claim 1, wherein the behavioral dimensions of the four-dimensional digital twin comprise: And the four-dimensional digital twin body performs data driving prediction of the battery through the long-term and short-term memory network artificial intelligent model.
  5. 5. The method of claim 1, wherein the regular dimensions of the four-dimensional digital twin comprise: And the four-dimensional digital twin body performs functional safety restraint on the battery through a preset functional safety standard.
  6. 6. The method of any one of claims 1-5, wherein the step of performing off-line detection of vehicle cloud coordination based on the four-dimensional digital twins comprises: a vehicle end sensor of the vehicle uploads data to an edge node in real time; the edge node cleans the data and transmits the cleaned data stream to a cloud engine; the cloud engine requests simulation prediction based on the cleaned data flow to the four-dimensional digital twin body; the four-dimensional digital twin body returns a multi-physical-field simulation result to the cloud engine; The cloud engine executes dynamic time-ordered virtual-real alignment to a fault diagnosis system based on the multi-physical-field simulation result; the fault diagnosis system outputs a component level location report to a maintenance system.
  7. 7. The method of claim 6, wherein after the step of uploading data to the edge node in real time by the vehicle end sensor, the method further comprises: the edge node determines the priority of the data; The edge node processes the data in real time and executes alarm operation based on the priority, or the edge node uploads the data to the cloud based on the priority.
  8. 8. An off-line detection device for vehicle cloud coordination, the device comprising: The system comprises a four-dimensional digital twin body construction module, a dynamic balance module and a dynamic balance module, wherein the four-dimensional digital twin body construction module is used for constructing a four-dimensional digital twin body, and the four-dimensional digital twin body is used for describing a battery mechanism, predicting battery risks and executing rigid safety protection from geometric dimension, physical dimension, behavioral dimension and regular dimension; and the vehicle cloud cooperative off-line detection module is used for carrying out vehicle cloud cooperative off-line detection based on the four-dimensional digital twin body.
  9. 9. An electronic device comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the vehicle cloud-collaborative offline detection determination method of any one of claims 1-7.
  10. 10. A computer-readable storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the vehicle cloud collaborative offline detection method of any one of claims 1-7.

Description

Vehicle cloud cooperative offline detection method, device, equipment and storage medium Technical Field The invention relates to the technical field of intelligent manufacturing of electric automobiles, in particular to a vehicle cloud cooperation offline detection method, device, equipment and storage medium. Background At present, the following technical problems exist in the existing electric automobile battery detection: 1. the detection depth is insufficient, the existing battery cannot penetrate into the battery cell level (such as lithium precipitation and SEI film growth), and the omission ratio is more than or equal to 15%. 2. The system fracture problem is that harmonic distortion caused by inverter switching loss is ignored in motor test, and an IGBT (insulated gate bipolar transistor ) junction temperature estimation error is more than 20 ℃. 3. The real-time performance is disadvantageous in that verification after the electronic control software is written, the time for verification is more than 8 minutes, and a digital mirror image pre-verification mechanism is lacked. Disclosure of Invention Therefore, the invention aims to provide a vehicle cloud cooperative offline detection method, device, equipment and storage medium, so as to realize the health detection of a battery cell level battery, break a three-electric system detection barrier and compress an electric control verification period. The embodiment of the invention provides a vehicle cloud cooperation offline detection method, which comprises the steps of constructing a four-dimensional digital twin body, wherein the four-dimensional digital twin body is used for describing a battery mechanism from a geometric dimension, a physical dimension, a behavior dimension and a rule dimension, predicting battery risks and executing rigid safety protection, and performing vehicle cloud cooperation offline detection based on the four-dimensional digital twin body. In an alternative embodiment of the application, the geometric dimension of the four-dimensional digital twin body comprises that the four-dimensional digital twin body establishes a battery pack point cloud model through computer tomography. In an alternative embodiment of the application, the physical dimensions of the four-dimensional digital twin comprise that the four-dimensional digital twin describes the circuit characteristics of the battery through a macroscopic scale, the four-dimensional digital twin describes the ion diffusion of the battery through a mesoscale, and the four-dimensional digital twin describes the atomic interaction of the battery through a microscopic scale. In an alternative embodiment of the application, the behavior dimension of the four-dimensional digital twin body comprises the step that the four-dimensional digital twin body performs data-driven prediction of the battery through a long-term and short-term memory network artificial intelligent model. In an alternative embodiment of the present application, the rule dimensions of the four-dimensional digital twin body include that the four-dimensional digital twin body performs functional safety constraint of the battery through a preset functional safety standard. In an optional embodiment of the application, the step of performing vehicle cloud collaborative offline detection based on the four-dimensional digital twin body comprises the steps of uploading data to an edge node in real time by a vehicle end sensor of a vehicle, cleaning the data by the edge node, transmitting cleaned data flow to a cloud engine, requesting simulation prediction by the cloud engine based on the cleaned data flow to the four-dimensional digital twin body, returning a multi-physical-field simulation result by the four-dimensional digital twin body to the cloud engine, executing dynamic time-warping virtual-real alignment by the cloud engine to a fault diagnosis system based on the multi-physical-field simulation result, and outputting a component level positioning report by the fault diagnosis system to a maintenance system. In an optional embodiment of the present application, after the step of uploading the data to the edge node in real time by the vehicle end sensor of the vehicle, the method further includes the step of determining the priority of the data by the edge node, processing the data in real time and executing an alarm operation by the edge node based on the priority, or uploading the data to the cloud end by the edge node based on the priority. The embodiment of the invention also provides a vehicle cloud cooperative offline detection device, which comprises a four-dimensional digital twin body construction module and a vehicle cloud cooperative offline detection module, wherein the four-dimensional digital twin body construction module is used for constructing a four-dimensional digital twin body, the four-dimensional digital twin body is used for describing a battery mechanism from a geometric dimension,