Tehnički vjesnik, Vol. 24 No. 6, 2017.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20170406120417
A spatial-temporal estimation model of residual energy for pure electric buses based on traffic performance index
Li Wang
orcid.org/0000-0001-5986-7184
; The School of Computer Software, Section A, Building 55, Tianjin University Beiyangyuan Campus, No. 135, Ya Guan Road, Jinnan District, Tianjin, 300354 China
Jingfeng Yang
; Guangzhou Yuntu Information Technology CO, LTD, & Open Laboratory of Geo-spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography,100 Xianliezhong Road, Guangzhou 510070, China.
Nanfeng Zhang
; Senior Engineer, Chief Engineer of Guangzhou Entry Exit Inspection and Quarantine Bureau laboratory. Mechanical and electrical integration, vehicle detection and fault diagnosis. Members of Society of automotive engineering of China, science and technolog
Ji Yang
; Open Laboratory of Geo-spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou 510070, China
Yong Li
; Open Laboratory of Geo-spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou 510070, China
Jiarong He
; Deputy Chief of integrated four division in Foshan municipal people's government office
Feng Yang
; Open Laboratory of Geo-spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou 510070, China
Handong Zhou
; Guangzhou Yuntu Information Technology CO, LTD, & Open Laboratory of Geo-spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou 510070, China
Sažetak
The relationship between the energy consumption of buses and traffic conditions has gradually garnered research attention with the expansion of the green transportation concept and the promotion of new energy buses. In line with these developments, this study develops a spatial–temporal estimation model of residual energy for pure electric buses with fuzzy clustering and time-series algorithms. These algorithms are based on the traffic performance index of the road sections between the nearest bus stops. Furthermore, they are established according to the positions of floating vehicles and the bus routes in combination with the energy consumption data derived from the battery management system of pure electric buses. Test results show that these estimation algorithms can accurately describe the spatial–temporal relationship between traffic performance index and the residual energy in pure electric buses. Thus, they can be applied as significant references in the analysis of traffic conditions, energy conservation, and emission reduction for buses.
Ključne riječi
fuzzy clustering; fuzzy time series; pure electric bus; residual energy; traffic index
Hrčak ID:
190177
URI
Datum izdavanja:
3.12.2017.
Posjeta: 2.414 *