Fault diagnosis system and method for series hybrid power system based on model prediction

Abstract

The invention discloses a series hybrid power system fault diagnosis system and method based on model prediction. The system comprises an MCU (micro control unit), a prediction model, a sensor module,and a fault diagnosis module. An actual working object of the fault diagnosis module for fault diagnosis is a series hybrid power system, the sensor module is installed on the actual working object,and the prediction model and the fault diagnosis module both operate on the MCU. According to a series hybrid power system fault diagnosis algorithm, prediction data of the prediction model are compared with data output by the sensor module, the position and the fault type of a fault element can be accurately positioned, the calculated amount of the diagnosis process is small, the response speed is high, and early warning can be given in one period when a fault occurs. And based on the prediction model, all parameters of the system can be accurately calculated, so that faults can be accuratelyand quantitatively analyzed, the severity of the faults can be judged in a data form, and the residual power output capability of the system can be accurately calculated.

Description

technical field [0001] The invention relates to the field of fault diagnosis of a hybrid power system, in particular to a system and method for fault diagnosis of a series hybrid power system based on model prediction. Background technique [0002] There are three main power systems of existing UAVs, namely engine power, battery power, engine battery parallel power and so on. Engine power is mainly used for fixed-wing drones and unmanned helicopters, and less for multi-rotor drones. Battery power is mainly used for fixed-wing UAVs, unmanned helicopters, multi-rotor UAVs and vertical take-off and landing hybrid UAVs. Engine battery parallel power is mainly used for multi-rotor UAVs and vertical take-off and landing hybrid UAVs. The working principle of the engine-battery parallel power is: in the application of multi-rotor drones, the engine is used as the main power to drive the propeller to provide the main lift; the battery is used as the slave power to drive the motor t...

AI Technical Summary

Problems solved by technology

The working system of the above structure has the following problems: the first is the engine power: the transmission structure is complex and the maintenance work is heavy

The second is battery power: low energy density

The third is the parallel power of the engine battery: the structure is complex, the maintenance work is heavy, and the weight is too large

Considering that there are many components in such a system, the number of sensors and actuators is large and the relationship is complex, and various fault phenomena are prone to occur in actual production and use, so it is necessary to design a fault diagnosis algorithm to carry out online automatic fault detection. diagnosis

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