Heavy-duty vehicle integrated chassis multi-information fusion state estimation method
By constructing a multi-source sensor information preprocessing and working condition identification method, combined with adaptive online parameter updating and a unified dynamic model, the accuracy and robustness issues of integrated chassis state estimation for heavy transport equipment under complex working conditions are solved, achieving highly reliable state perception and adaptive optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANJING TIANHANG INST OF INTELLIGENT EQUIP CO LTD
- Filing Date
- 2025-12-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing integrated chassis state estimation methods for heavy transport equipment are difficult to achieve adaptive updates and optimization under complex working conditions, resulting in insufficient state estimation accuracy and reduced robustness. In particular, they cannot effectively utilize redundant and heterogeneous information when actuator coupling is enhanced or some sensors degrade.
An integrated chassis multi-source sensor information preprocessing and working condition identification method is constructed. Combining adaptive online parameter updates and a unified dynamic model, state prediction and adaptive fusion are achieved through sensor confidence assessment, working condition identification and sensor degradation state information. A state estimation strategy for different loads, road conditions and task modes is established.
It achieves highly reliable state awareness throughout the entire life cycle and under all operating conditions, improves the accuracy and robustness of state estimation, enables adaptive reconstruction and optimization in complex environments, and enhances the system's online learning capabilities.
Smart Images
Figure CN122409202A_ABST