A Prediction Model for Battery Electric Bus Energy Consumption in Transit

被引:37
作者
Abdelaty, Hatem [1 ]
Mohamed, Moataz [1 ]
机构
[1] McMaster Univ, Dept Civil Engn, JHE-301, Hamilton, ON L8S 4L7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
energy consumption; battery-electric buses; simulation model; full-factorial design; multiple linear regression; operational; topological; external parameters; REAL-WORLD DATA; CITY BUS; VEHICLES; DEMAND; ELECTRIFICATION; OPTIMIZATION; SIMULATION; CAPACITY; BENEFITS; SYSTEMS;
D O I
10.3390/en14102824
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This study investigates the impacts of vehicular, operational, topological, and external parameters on the energy consumption (E-C) of battery-electric buses (BEBs) in transit operation. Furthermore, the study develops a data-driven prediction model for BEB energy consumption in transit operation that considers these four parameters. A Simulink energy model is developed to estimate the E-C rates and validated using the Altoona's test real-world data. A full-factorial experiment is used to generate 907,199 scenarios for BEB operation informed by 120 real-world drive cycles. A multivariate multiple regression model was developed to predict BEB's E-C. The regression model explained more than 96% of the variation in the E-C of the BEBs. The results show the significant impacts of road grade, the initial state of charge, road condition, passenger loading, driver aggressiveness, average speed, HVAC, and stop density on BEB's energy consumption, each with a different magnitude. The study concluded that the optimal transit profile for BEB operation is associated with rolling grade and relatively lower stop density (one to two stops/km).
引用
收藏
页数:26
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