Charging and discharging threshold fuzzy reasoning dynamic setting method for urban rail supercapacitor energy storage system

The invention, in view of the problem of dynamic adjustment and coordinated control of an urban rail supercapacitor energy storage system, provides a charging and discharging threshold fuzzy reasoningdynamic setting method for the urban rail supercapacitor energy storage system. The method is based on fuzzy inference. A three-input four-output Mamdani fuzzy reasoner selects a distance L between atraction vehicle and an energy storage device b in a power supply section and a supercapacitor state of charge (SOC) as the input of fuzzy reasoning, and takes a voltage dynamic threshold as an output. The L and SOC values are fuzzified, an appropriate fuzzy domain and a membership function are selected, fuzzy rules are written according to experience or experimental data for simulation, and an output is fuzzified and clear, so as to output a clear value. Using the fuzzy reasoning can make the traction network voltage not only have a voltage regulation effect, but also have a good energy saving effect. The fuzzy reaso