Speed planning for connected electric buses based on battery capacity loss

Tong, Pei; Yan, Yonggao; Li, Bo; Wang, Dongwei; Qu, Xiaobo

doi:10.1016/j.jclepro.2021.129031

Cited by 11 publications

(2 citation statements)

References 47 publications

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“…To maximize the capacity of material transported within a specified period, the establishment of the steady state model of vehicle material transportation needs to meet the following three requirements: Put as many vehicles into the transport as possible; there are as many vehicles on the road as possible; each car uses as much energy as possible before changing the battery [10], [11]. According to the above requirements, it can be quantified as: The spacing between the vehicles on the two-way singlepurpose lane is metered, where min s is the minimum spacing between the vehicles; when a car is transferred in point P and point D, a car is transferred out at the same time; every time a vehicle with insufficient battery is transferred to the battery-swapping station, a vehicle with full battery is transferred out at the same time.…”

Section: Steady State Model Of Vehicle Materials Transportmentioning

confidence: 99%

Battery-Swapping Station Site Selection and Distribution in Material Vehicles Scheduling Based on NSGA-II

Jiang

Wang

2023

J. Phys.: Conf. Ser.

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The location planning of battery-swapping stations needs to consider many factors. This paper is based on the location planning of battery-swapping stations and considers limits on the number of electric material vehicles and battery packs. Firstly, a rapid vehicle exchange model for battery-swapping stations is established. On this basis, a steady-state model of the vehicle transporting materials is established, which describes the regular and dynamic operation of the whole vehicle dispatching system based on maximizing the number of vehicles always transporting materials on the road. Finally, a material transportation target planning model is established. NSGA-II is used to solve the maximum material transportation target planning function for the best selection of battery-swapping station sites and the best number of vehicles and battery packs for material transportation.

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Section: Steady State Model Of Vehicle Materials Transportmentioning

confidence: 99%

Battery-Swapping Station Site Selection and Distribution in Material Vehicles Scheduling Based on NSGA-II

Jiang

Wang

2023

J. Phys.: Conf. Ser.

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“…Besides the time-of-use electricity price, battery management is another nonnegligible factor in optimizing the charging plans of BEBs (Guillot et al, 2022;Tong et al, 2021a). Managing batteries is crucial in BEB scheduling and management.…”

Section: Solely Optimizing Charging Schedulementioning

confidence: 99%

Vehicle and Charging Scheduling of Electric Bus Fleets: A Comprehensive Review

Zhang,

Han,

Peng

et al. 2023

J. Int. Con. Veh.

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Transit electrification has emerged as an unstoppable force, driven by the considerable environmental benefits it offers. However, the adoption of battery electric buses is still impeded by their limited flexibility, a constraint that necessitates adjustments to current bus scheduling plans. Consequently, this study aspires to offer a thorough review of articles focused on battery electric bus scheduling. Moreover, we provide a comprehensive review of 42 papers on electric bus scheduling and related studies, with a focus on the most recent developments and trends in this research domain. Despite this extensive review, our findings reveal a paucity of research that takes into account the robustness of electric bus scheduling. Furthermore, we highlight the critical areas of considering diverse charging modes in electric bus scheduling and integrated planning of electric buses, which have not been adequately explored but hold the potential to greatly boost the effectiveness of electric bus systems. Through this synthesis, we hope that readers could acquire a thorough comprehension of the studies in this field and be motivated to address the identified research gaps, thus propelling the progress of transit electrification.

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