- Supercapacitor Materials and Fabrication
- Hydraulic and Pneumatic Systems
- Electric Motor Design and Analysis
- Magnetic Properties and Applications
- Industrial Technology and Control Systems
- Electric and Hybrid Vehicle Technologies
- Industrial Automation and Control Systems
- Belt Conveyor Systems Engineering
- Advanced Battery Technologies Research
- Induction Heating and Inverter Technology
Yanshan University
2024-2025
An independent pump-controlled hydraulic system based on a variable speed displacement power source (VSVDPS) can eliminate throttle losses of the electric loader boom and recover gravitational potential energy. However, challenges arise in efficiently rapidly solving for optimal due to severe load fluctuations, model inaccuracies, coupling two variables. This paper proposes an energy-efficient optimization method search combined (MSCM), which leverages advantages model-based fast solution...
For the variable speed displacement power unit (VSVDPU), achieving matching between permanent magnet synchronous motor (PMSM) and plunger pump (VDPP) is key to reducing system energy consumption. The control method of adjusting PMSM VDPP mainstay current research application VSVDPU. However, dynamic properties have not been balanced, which affects effect This paper proposes a with low consumption high dynamics. main idea based on efficiency model response VDPP, factors that affect...
The hybrid power system formed by batteries and supercapacitors can meet the demands of electric loaders for endurance instantaneous power. Appropriate parameter matching optimize operational performance system. However, multiple optimization objectives complex constraints present technical challenges matching. To address this, this paper proposes a multi-objective method based on Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm. First, mathematical models battery,...
This paper presents a novel sequential strategy which is based on finite element method (FEM) and optimization methodology. It proposed to deal with the multivariable designing of permanent magnet (PM) motor. In this paper, property variables are divided into groups by key factor, each group only involves one or two variables. Then process will be obtained sequentially groups. After obtains optimal result for variables, next employed in optimization. continue until maximizes its power...