Hybrid off-road vehicle thermal cooperative control method and system
By employing a combined energy and thermal control method based on GMM and DDPG algorithms, the problem of independent operation of energy management and thermal management in hybrid off-road vehicles under extreme conditions is solved. This achieves joint optimization of energy and thermal management, improves the overall vehicle energy efficiency and thermal stability, adapts to complex operating conditions, and ensures passenger comfort.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU UNIV
- Filing Date
- 2026-04-17
- Publication Date
- 2026-07-17
AI Technical Summary
The energy management system and thermal management system of existing hybrid off-road vehicles operate independently, which limits the improvement of energy efficiency under extreme conditions, makes it impossible to dynamically balance the thermal-energy conflict, and results in insufficient overall vehicle energy efficiency and thermal stability.
A co-optimization control method based on Gaussian mixture model (GMM) and deep deterministic policy gradient (DDPG) algorithm is adopted. Through operating condition identification and reinforcement learning, the joint optimization of energy and thermal management system is achieved. The cooling loop heat load, power ratio of thermal management system and equivalent factor sensitivity are used as state inputs to train the policy network to adjust energy distribution and thermal management actuators in real time.
It significantly improves the overall vehicle energy efficiency in complex off-road environments, ensures the thermal stability of key components and passenger comfort, has strong system adaptability and robustness, and the control strategy has real-time and adaptive optimization capabilities.
Smart Images
Figure CN122402205A_ABST