A5068460378- Hydraulic and Pneumatic Systems
- Vehicle Dynamics and Control Systems
- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Mechanical Engineering and Vibrations Research
- Soil Mechanics and Vehicle Dynamics
- Electric Vehicles and Infrastructure
- Vehicle emissions and performance
- Belt Conveyor Systems Engineering
- Elevator Systems and Control
Jilin University
2017-2021
The drive torque for each motor can be performed independently the distributed electric wheel loader (DDEWL). On shovelling condition, distribution optimised according to tire load. Then parasitic power and slippage reduced, tractive force efficiency are improved. In this study, singular value decomposition unscented Kalman filter is adopted estimate Based on estimated load, vertical calculated. load rate used build optimisation objective. antiskid set as boundary condition. And a modified...
Optimized torque‐distribution control method (OTCM) is a critical technology for front/rear axle electric wheel loader (FREWL) to improve the operation performance and energy efficiency. In paper, longitudinal dynamics model of FREWL created. Based on model, objective functions are that weighted sum variance mean tire workload minimal total motor efficiency maximal. Four nonlinear constraint optimization algorithms, quasi‐newton Lagrangian multiplier method, sequential quadratic programming,...
Automation of bucket-filling is crucial significance to the fully automated systems for wheel loaders. Most previous works are based on a physical model, which cannot adapt changeable and complicated working environment. Thus, in this paper, data-driven reinforcement-learning (RL)-based approach proposed achieve automatic bucket-filling. An algorithm Q-learning developed enhance adaptability autonomous scooping system. A nonlinear, non-parametric statistical model also built approximate real...
The distributed drive articulated steering vehicle (DDASV) has a broad application prospect in the field of special operations. It is essential to obtain accurate states for better effect active control. DDASV dynamic model presented. To improve robustness, an adaptive strong tracking algorithm applied singular value decomposition unscented Kalman filter (SVDUKF). Divided by yaw rate sensors and tire models, two multistage estimators are established DDASVs. Stable condition simulated...