A sac-based vehicle chassis longitudinal-lateral-vertical integrated control method
By adopting a vehicle chassis longitudinal, transverse and vertical integrated control method based on SAC, and combining deep reinforcement learning and safety envelope constraints, the problems of low integration and insufficient stability in chassis integrated control are solved, and efficient stability control of vehicles under complex working conditions is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HEFEI UNIV OF TECH
- Filing Date
- 2026-05-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing integrated chassis control methods are difficult to effectively coordinate multiple subsystems in actual vehicle operation, resulting in low integration, insufficient collaborative control capabilities, and difficulty in improving vehicle stability under complex operating conditions.
A vehicle chassis longitudinal, transverse and vertical integrated control method based on SAC is adopted, which combines deep reinforcement learning, sliding mode control and model predictive control. By constructing a safety envelope and dynamic weights, the control quantity is allocated to the steer-by-wire, distributed drive and active suspension systems to realize the stability index calculation and safety constraints of the vehicle state parameter set.
It significantly improves vehicle stability under complex operating conditions, simplifies the control process, enhances the robustness and safety of the control strategy, and improves the timeliness and adaptability of the control effect.
Smart Images
Figure CN122402491A_ABST