Disclosed are a device and method for detecting an abnormality of a solenoid valve of an electronically controlled suspension (ECS) system, and a non-transitory computer-readable storage medium storing a program for performing the method. The device for detecting the abnormality of the solenoid valve of the ECS system is a device for detecting an abnormality of a solenoid valve of an ECS system, which detects an abnormality of a solenoid valve disposed in an ECS system of a vehicle, and includes a memory configured to store one or more instructions, and a processor configured to execute the one or more instructions, wherein the processor executes the one or more instructions to input input data representing a state of the ECS system into an artificial neural network model, obtain an estimated value of a physical quantity representing an output of the ECS system that is output by the artificial neural network model, compare the estimated value with a measurement value of the physical quantity, and detect the abnormality of the solenoid.

The invention relates to a method for controlling a flow from a source of pressurized air to an air bag of a pneumatic suspension arrangement in a vehicle. The method comprises obtaining a set of vehicle condition signals comprising at least two vehicle condition signals, each vehicle condition signal being indicative of an individual current condition associated with said vehicle. The method further comprises, on the basis of said set of vehicle condition signals, determining whether or not there is a need to supply the air bag with air from the source of pressurized air. The method further comprises, in response to determining that there is not a need to supply the air bag with air from the source of pressurized air, preventing pressurized air to be fed from said source of pressurized air to said air bag.