A Prediction Model for Battery Electric Bus Energy Consumption in Transit

Hatem Abdelaty and Moataz Mohamed
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Hatem Abdelaty: Department of Civil Engineering, McMaster University, JHE-301, Hamilton, ON L8S 4L7, Canada
Moataz Mohamed: Department of Civil Engineering, McMaster University, JHE-301, Hamilton, ON L8S 4L7, Canada

Energies, 2021, vol. 14, issue 10, 1-26

Abstract: 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).

Keywords: energy consumption; battery-electric buses; simulation model; full-factorial design; multiple linear regression; operational; topological; external parameters (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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