Self-adaptive energy management system for fuel cell hybrid power tramcar multi-power source

Abstract

The invention discloses a self-adaptive energy management system for fuel cell hybrid power tramcar multi-power source. The system comprises a fuel cell system unit, a lithium battery unit, a supercapacitor unit, a one-way DC converter unit, a bidirectional DC converter unit interface and a self-adaptive energy management unit, wherein the self-adaptive energy management unit is formed by a power distribution processing sub-unit capable of distributing power and a double self-adaptive nerve cell fuzzy inference sub-unit capable of conducting self-adaptive energy control; power among the fuel cell unit, the lithium battery unit and the supercapacitor unit can be self-adaptively distributed in real time by real-time detection of an operation work condition and a power system condition, so the fuel cell unit can maintain stable and high efficient operation and safe charge-discharge management and effective brake energy recovery can be guaranteed for the lithium battery unit and the supercapacitor unit; work efficiency of the fished car and each power supply can be improved; and circulating service life of each power supply can be prolonged.

Description

technical field [0001] The invention relates to a fuel cell / lithium battery / supercapacitor hybrid energy management system suitable for trams. Background technique [0002] The tram with a medium capacity is an effective supplement to the subway and light rail system, and is an important part of an ecological and integrated transportation system. It can be used as the backbone line of a big city, the connection line of the suburbs, and the backbone line of a small and medium-sized city. . Although the non-catenary locomotive technology can avoid the erection of catenary lines, it cannot get rid of the traction power supply system, and still needs to be equipped with traction substations and current receiving stations. Fuel cell technology is a clean energy technology with high efficiency (45-50%) and environmental protection. It is known as the most promising "green energy" technology in the 21st century, and it is a key research and development technology in the national e...

AI Technical Summary

Problems solved by technology

The advantage of these methods is that the execution speed is fast, but the formulation of the rules usually depends on expert experience, known system mathematical models and experimental test results, etc., which cannot guarantee the best real-time matching of the energy flow in the car, and is not suitable for high-power rail Tram energy management system, unable to obtain optimal fuel economy

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