3 results about "Time scale decomposition" patented technology

The application provides a kind of exoskeleton control method and system based on iterative learning and extended state observer, comprising: obtaining lower limb exoskeleton system parameters and motion state data, establishing nonlinear dynamics equation and unifying total disturbance term, obtaining multi-scale dynamics model by multi-time scale decomposition;Based on the model, an extended state observer is constructed to estimate the system state and total disturbance, and the disturbance is fed back to the control input;A game model between man and machine is constructed, parameters are identified online and an iterative learning control update law is designed to obtain an adaptive iterative learning control law;Design fast and slow dynamic controller, integrate related control information through hierarchical control architecture, and output multi-time scale model predictive control quantity.The application improves the coordination, comfort and energy efficiency ratio of human-computer interaction, and can provide stable and natural assistance experience in various complex environments, meeting the needs of rehabilitation training and daily assistance.

This invention discloses a dynamic power allocation method for hybrid energy storage based on multi-timescale decomposition, belonging to the field of hybrid energy storage control technology. The method is applied to a hybrid energy storage system composed of lithium battery units, supercapacitor units, and a bidirectional converter, sequentially performing signal acquisition, adaptive variational mode decomposition, physical frequency division boundary calculation, dynamic frequency division boundary smoothing correction, and ramp rate limiting and state-of-charge recovery collaborative compensation. Specifically, the number of modes is determined online based on the energy proportion of newly added mode components; the physical frequency division boundary is synthesized using the upper limit of the lithium battery ramp rate and the current closed-loop bandwidth of the bidirectional converter; the frequency division boundary is smoothed using a hyperbolic tangent function based on the supercapacitor's state-of-charge deviation; and the ramp rate limiting difference and the state-of-charge recovery compensation are jointly injected into the supercapacitor channel. This invention can be deployed in real time and is portable across devices, suppressing supercapacitor saturation, reducing lithium battery stress, and ensuring zero steady-state error tracking of total power.

The application discloses a configuration method and device of an energy storage system, electronic equipment and a storage medium, and belongs to the technical field of energy management. The method comprises the following steps: acquiring a load time sequence of a target area in a preset period; performing fluctuation analysis on the load time sequence to extract fluctuation characteristic parameters; performing multi-time scale decomposition on the load time sequence according to the fluctuation characteristic parameters to obtain multi-time scale components; determining rated power demand and rated capacity demand of the energy storage system based on the multi-time scale components; and configuring the energy storage system according to the rated power demand and the rated capacity demand. Through fluctuation characteristic extraction and multi-time scale decomposition on load data, the optimal power capacity and energy capacity of the energy storage system are determined, so that a more optimal fluctuation suppression effect and higher configuration rationality are realized, and the accuracy and economy of energy storage configuration are improved.