Research on improvement of urban rail transit energy consumption model

Chenglong Wang; Xinji Wang; Yeli Wang

doi:10.1117/12.2613940

10 November 2021 Research on improvement of urban rail transit energy consumption model

Chenglong Wang, Xinji Wang, Yeli Wang

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 1205020 (2021) https://doi.org/10.1117/12.2613940
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

Energy consumption model of urban rail transit is a complex nonlinear system, both the modeling study was not fully considering the problem of low precision and energy consumption model, according to the above problem, this paper proposed to improve the traditional dynamic model of the improved model compared with the traditional model is more accurate, more in line with the actual operation of train. On this basis, this paper explores the influence of distance between stations and running time on running energy consumption, and obtains the influence factor model through the MATLAB simulation platform. Finally, a simulation study was conducted on a section of Nanning Metro Line 1 as an example to verify the effectiveness and accuracy of the optimization model. The results show that the improved energy consumption model is 2.12% more accurate than the traditional model.

Citation Download Citation

Chenglong Wang, Xinji Wang, and Yeli Wang "Research on improvement of urban rail transit energy consumption model", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 1205020 (10 November 2021); https://doi.org/10.1117/12.2613940

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