Wheel torque distribution method, device and equipment and vehicle
By employing a torque distribution method based on wheel state data and a target graph neural network model, the problems of long vehicle traction time and high energy consumption in complex terrain are solved, achieving intelligent and flexible torque distribution and improving control accuracy.
CN121492689APending Publication Date: 2026-02-10GREAT WALL MOTOR CO LTD
0 Cites 1 Cited by
Patent Information
- Application Number
- CN202511611562.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-05
- Publication Date
- 2026-02-10
AI Technical Summary
Technical Problem
In existing technologies, when the torque distribution between vehicle wheels is based on fixed rules or empirical parameters, it is difficult to adapt to complex unstructured terrain, resulting in long vehicle extrication time, high energy consumption, and low control precision.
Method used
Based on wheel state data, structural perception features and state prediction information are determined. Torque control priorities are extracted through a target graph neural network model to perform intelligent torque distribution.
Benefits of technology
It achieves timely and reasonable wheel torque distribution, reduces traction time and energy consumption, improves control precision, and is suitable for various terrains.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a wheel torque distribution method, device and equipment and a vehicle, and is applied to the technical field of vehicle control, and the method comprises the steps: determining the structure perception characteristics representing the torque control priority of each wheel based on the current wheel state data, and determining the torque control priority of each wheel based on the wheel state data of a first preset time period until the current moment; and predicting the state of each wheel in a second preset time period after the current moment to obtain state prediction information of each wheel, performing torque distribution on each wheel based on the structure perception characteristics and the state prediction information, and determining the target torque of each wheel. The key driving wheel, namely the wheel with the highest torque control priority, can be effectively identified, so that the wheel torque is reasonably distributed in time, the intelligent distribution of the wheel torque is realized, the vehicle escape time and energy consumption are reduced, and the control precision is improved.
Need to check novelty before this filing date? Find Prior Art