Abstract: The present application discloses a method and a model for controlling an energy storage system for rail transit, a device, and a storage medium. The method includes: determining an offline charging-discharging action according to a state of an energy storage system based on an offline algorithm; determining an online charging-discharging action according to the state of the energy storage system based on a deep reinforcement learning algorithm; acquiring a fusion ratio of the offline charging-discharging action to the online charging-discharging action according to a communication delay amount and a delay degree; and fusing the offline charging-discharging action and the online charging-discharging action according to the fusion ratio and outputting a fusion result to the energy storage system.

Abstract: A control method, device, apparatus and storage medium for a supercapacitor energy storage device is provided, where the method includes: collecting life characterization parameters of the supercapacitor energy storage device and performing life evaluation to obtain a life evaluation result, inputting the life evaluation result into a constructed fuzzy rule base, and outputting a constraint condition adjustment parameter; obtaining a constraint condition according to the constraint condition adjustment parameter, and optimizing control parameters using a genetic algorithm in conjunction with an optimized objective function to obtain first control parameters; and controlling charging and discharging currents of the supercapacitor energy storage device using a droop control method according to the first control parameters.

Abstract: An effective capacity estimation method and system for super capacitor energy storage systems are provided. The method includes: establishing a nonlinear electrical model of supercapacitor cell and an equivalent electrical model of a supercapacitor system; obtaining the first test data by charging the supercapacitor cell; based on the first test data, setting the initial value of parameters of the nonlinear electrical model of the supercapacitor cell by a preset algorithm; using a least-square method to identify the parameters of the nonlinear electrical model of the supercapacitor cell; obtaining electrical parameters of the equivalent electrical model of the supercapacitor system except the connection resistance parameters, carrying out a charging test of the supercapacitor system to obtain the connection resistance parameters, and estimating an effective capacity of the supercapacitor energy storage system based on the equivalent electrical model of the supercapacitor system after parameter identification.

Abstract: A lighting device for an inspection apparatus. The lighting device may include a hollow housing having an inner planar reflective surface and an opposing inner concave dome-shaped reflective surface. The lighting device may further include at least one light source disposed at the inner planar reflective surface. The hollow housing may include an opening configured to be a light outlet. An inspection apparatus including the lighting device and an imaging device coupled to the lighting device.

Abstract: Inclusions in a transparent panel (5) are detected by placing a light transmissive interface (3) in contact with the panel (5), and transmitting a beam of light (1) through interface (3) into panel (5). Within the panel (5), the light beam (7) propagates along a path including total internal reflections at surfaces of panel (5). When the light beam (1) intercepts inclusions (10) or other defects at least some of it is scattered, and leaves the panel (5). This scattered light is then observed. Thus, a large zone of the panel (5) can be inspected, with light only being detected in the case that it arises from scattering by inclusions or other defects.

Abstract: Inclusions in a transparent panel (5) are detected by placing a light transmissive interface (3) in contact with the panel (5), and transmitting a beam of light (1) through interface (3) into panel (5). Within the panel (5), the light beam (7) propagates along a path including total internal reflections at surfaces of panel (5). When the light beam (1) intercepts inclusions (10) or other defects at least some of it is scattered, and leaves the panel (5). This scattered light is then observed. Thus, a large zone of the panel (5) can be inspected, with light only being detected in the case that it arises from scattering by inclusions or other defects.