Implementation and Validation Modelling of Energy Demand of Electric Buses for Local Public Transport

Martino, Andrea Di; Longo, Michela; Prasad, Gauri Shankar; Foiadelli, Federica; Yaïci, Wahiba; Zaninelli, Dario

doi:10.1109/icsmartgrid55722.2022.9848756

Cited by 3 publications

(2 citation statements)

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“…• τ g is the gear ratio. Net propulsive torque is obtained by subtracting braking torque from motor torque, according to (4).…”

Section: Propulsion Systemmentioning

confidence: 99%

“…This paper aims to develop a simulation model of energy demand for an Electric Bus (E-Bus or EB) able to estimate the energy requirements for the normal daily service operation. The paper is oriented to describe in details the methodology used, exploiting further developments with respect to the starting results obtained previously [4]. In particular, novelty of the present work is emphasized by the different simulation scenarios performed, through whose results the optimal utilization of bus vehicle fleet is reached.…”

Section: Introductionmentioning

confidence: 99%

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Energy Demand Model of Battery E-Buses for LPT: Implementation, Validation and Scheduling Optimization

et al. 2023

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The progressive conversion of conventional bus fleets into full-electric fleets have gained focus in recent years, instilled by awareness about the environment and significant trends of urbanization. Public transport operators in major cities worldwide have put efforts into fulfilling this change. However, an efficient electrification process is still a challenge for most operators. This paper aims to propose an E-Bus vehicle model that estimates the actual energy consumption. The proposed model is implemented on the case study of a real bus line for Local Public Transport (LPT) and considers all technical characteristics of the vehicle. Real-time input data are represented by real driving cycles of the actual bus fleet and slope profile of the line. Real-time input data allow to establish directly the influence on the energy consumed during real operations. As simulation results, the global energy consumption and battery State of Charge (SOC) are then computed for the whole daily service operations. The simulation results are validated with the real data available and several scenarios are then considered within the simulations. Based on the results obtained, further improvements are proposed and discussed aiming to optimize the utilization of bus fleet, regarding both vehicles scheduling and new charging solutions.INDEX TERMS Charging infrastructure, electric bus, energy consumption, local public transport, state of charge, vehicle scheduling.

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“…• τ g is the gear ratio. Net propulsive torque is obtained by subtracting braking torque from motor torque, according to (4).…”

Section: Propulsion Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%