Hybrid power tramcar suboptimum energy management system taking uncertainty into account

Abstract

The invention provides a hybrid power tramcar suboptimum energy management system taking uncertainty into account. The hybrid power tramcar suboptimum energy management system comprises a hybrid powersuboptimum energy management unit taking the uncertainty into account, a fuel cell system unit, a lithium battery system unit, a supercapacitor system unit and a tramcar traction driving system unit.The hybrid power suboptimum energy management unit taking the uncertainty into account is electrically connected with the fuel cell system unit, the lithium battery system unit and the supercapacitorsystem unit, and the fuel cell system unit, the lithium battery system unit and the supercapacitor system unit are all electrically connected with the tramcar traction driving system unit. On the basis that the random uncertainty of a tramcar in the operating process is subjected to adaptive estimation, through multi-energy source real-time power adaptive distribution of the fuel cell hybrid power energy management system, it is guaranteed that the hybrid power tramcar works at the approximately-minimum equivalent hydrogen consumption state, multi-energy source performance degradation equalization is achieved, and the cycle service life of the hybrid power system is prolonged.

Description

technical field [0001] The invention relates to the field of hybrid electric tram energy management, in particular to a hybrid electric tram car suboptimal energy management system that takes into account uncertainty. Background technique [0002] As an important carrier of hydrogen power generation, proton exchange membrane fuel cells can provide clean electricity for social and economic development with its environmental protection and high efficiency advantages. With the continuous development of commercial proton exchange membrane technology, fuel cell systems have broad application prospects in many fields such as combined heat and power, power station systems, electric vehicles, and rail transit. In particular, with the continuous improvement of power density and cycle life of integrated high-power fuel cell modules, they have great potential in high-performance hybrid electric tram applications. [0003] Due to the relatively slow dynamic response characteristics of ...

AI Technical Summary

Problems solved by technology

On the other hand, the design process of tram energy management system with multi-objective collaborative optimization is very time-consuming and is more suitable for offline performance evaluation of trams rather than real-time operation control process

In addition, stochastic processes such as auxiliary system switching and tram load uncertainty will significantly affect the scheduling operation of the energy management system. Has a significant impact, affecting tram performance and system energy efficiency

In particular, for fuel cell hybrid electric trams, the impact of operating condition mismatch is further exacerbated by the differential power mismatch caused by the dynamic response of the fuel cell system

At the same time, the influence of time-varying characteristics such as system performance attenuation and operating environment uncertainty may lead to the failure of the energy management system under optimal configuration conditions. Therefore, the robustness of the energy management system needs to be improved urgently

[0007] To sum up, how to provide the robustness of the hybrid energy management system is an important issue in the design of the fuel cell hybrid electric tram energy management system, and the design of the existing energy management system has not effectively taken into account the It is also difficult to effectively evaluate the influence of random uncertainty in the operation process by the direct power prediction method

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