Energy Management Improvement Based on Fleet Digitalization Data Exploitation for Hybrid Electric Buses

López, Jon Ander; Herrera, Víctor Isaac; Camblong, Haritza; Milo, Aitor; Gaztañaga, Haizea

doi:10.1007/978-3-030-25446-9_14

Cited by 11 publications

(5 citation statements)

References 40 publications

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“…Also, it may need weather forecasting information for the purpose of wind and solar generating power prediction. The gird and CS status information, and the communication between EV and VPP will be needed to store in the storage system [128,129]. Thus, all of this information feeding in the storage device is an independent task.…”

Section: Data Storagementioning

confidence: 99%

Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging

Ahmed

Khalid²,

Ullah³

et al. 2022

Energies

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The rise of the intelligent, local charging facilitation and environmentally friendly aspects of electric vehicles (EVs) has grabbed the attention of many end-users. However, there are still numerous challenges faced by researchers trying to put EVs into competition with internal combustion engine vehicles (ICEVs). The major challenge in EVs is quick recharging and the selection of an optimal charging station. In this paper, we present the most recent research on EV charging management systems and their role in smart cities. EV charging can be done either in parking mode or on-the-move mode. This review work is novel due to many factors, such as that it focuses on discussing centralized and distributed charging management techniques supported by a communication framework for the selection of an appropriate charging station (CS). Similarly, the selection of CS is evaluated on the basis of battery charging as well as battery swapping services. This review also covered plug-in charging technologies including residential, public and ultra-fast charging technologies and also discusses the major components and architecture of EVs involved in charging. In a comprehensive and detailed manner, the applications and challenges in different charging modes, CS selection, and future work have been discussed. This is the first attempt of its kind, we did not find a survey on the charging hierarchy of EVs, their architecture, or their applications in smart cities.

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Section: Data Storagementioning

confidence: 99%

Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging

Ahmed

Khalid²,

Ullah³

et al. 2022

Energies

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“…EMSs for hybrid vehicles are typically divided into rulebased (deterministic and fuzzy) and optimization-based (global and real-time) strategies [7]. In the present paper 5 deterministic rule-based (D-RB) strategies and one global optimization (G-OP) strategy are proposed.…”

Section: B Energy Management Strategiesmentioning

confidence: 99%

“…This G-OP approach is based on an algorithm that calculates the optimal split factor (in terms of fuel consumption) between the genset and LIB for each time step based on Bellman's optimality principle. The resulting operation is characterized by frequent switches in the power split factor, so DP is commonly used just as baseline for benchmarking new EMSs or for off-line optimization [7]. The optimization problem is based on the following cost function:…”

Section: ) G-op -Dynamic Programing (Dp)mentioning

confidence: 99%

“…The daily cost is calculated as the aggregation of the diesel and electricity consumption, and then the value is annualized. (7) where L f (i) is the daily diesel consumption, c f the referential fuel cost, E cat (i) the daily electricity consumption, c cat the referential electricity cost, t op the operation days per year, I the discount rate, y the current year, and T the service life.…”

Section: Economic Evaluation (Lcc Model)mentioning

confidence: 99%

See 1 more Smart Citation

In-depth Life Cycle Cost Analysis of a Li-ion Battery-based Hybrid Diesel-Electric Multiple Unit

Olmos

Lopez

Larrea

et al. 2020

2020 IEEE Vehicle Power and Propulsion Conference (VPPC)

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This study analyzes the life cycle costs of railway projects involving hybrid diesel-electric multiple units, focusing on the influence of lithium-ion battery technologies and energy management strategies. Specifically, 3 lithium-ion battery technologies and 6 energy management strategies are proposed, leading to a sensitivity analysis composed of 18 cases. In addition, for each case an approach for the optimal sizing of the diesel generator and lithium-ion battery is proposed. A scenario based on a real railway line is introduced and the results are compared to a traditional diesel-electric multiple unit. Potential life cycle cost savings of 16.0% are obtained when deploying a global optimization-based energy management strategy and LTO batteries.

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“…In this case, the force of the tram is equal to the force of the rolling friction. A more complex model, which accounts the unevenness and other factors of traffic on the route, if necessary, can be based on, for example, using the model proposed in [15].…”

Section: Determination Of the Congestion On Electric Vehicles Accordimentioning

confidence: 99%

nformation system for dispatcherization of territorial municipal electric transport

Lyakhov¹,

Cherevatenko²,

Shostak³

2020

MMS

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The paper deals with the topical problem of the large cities development – to improve the quality of ser-vice for the population by electric municipal transport and to solve this problem by informatization of the management system. Currently, various information systems are widely used to support the work of dispatch services. The paper provides an overview of such systems. It is shown that dispatchers are pro-vided with real-time data on the technical condition and position of transport units on the route. Thus, the main means of ensuring the high-quality work of urban transport by dispatch services is the drawing up of traffic schedules based on some statistical data and heuristics, monitoring the implementation of this schedule and making decisions based on these data. At the same time, data on the current value of passenger traffic are not known and are not taken into account. Passenger traffic is a value of a complex nature, the current value of which may differ significantly from the provided traffic schedule. The paper provides data of model studies on real data (for Kharkiv city). It is shown that in large cities the proba-bility of denied boarding can be critically high even with small deviations in occupying and intervals from the provided values by the traffic schedule. The concept of an information system is proposed, which in real time visualizes on the dispatcher’s screen not only the position, but also the degree of loading of transport units on the route. It is proposed to determine the occupancy rate of the vehicle by the power consumed by the electric motors while driving. The fundamental possibility of such approach is shown on the example of simple model. It is indicated how this model can be improved as well. It is essential for the practical implementation of the system that modern trams are equipped with all the necessary devices: a speedometer, an inclinometer, a wattmeter and GPS sensors. The basic principles of building the architecture of such an information system are given. The current data of the devices is read and sent to the server for processing. The processed data is divided into two streams. One stream is intended for online visualization of the situation on the routes on the dispatcher’s monitor. Another stream is data that is transferred to the repository for storage and further processing.

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Energy Management Improvement Based on Fleet Digitalization Data Exploitation for Hybrid Electric Buses

Cited by 11 publications

References 40 publications

Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging

Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging

In-depth Life Cycle Cost Analysis of a Li-ion Battery-based Hybrid Diesel-Electric Multiple Unit

nformation system for dispatcherization of territorial municipal electric transport

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