Comparison of two battery equivalent circuit models for state of charge estimation in electric vehicles

Koirala, Narayani; He, Fengxian; Shen, Weixiang

doi:10.1109/iciea.2015.7334077

Cited by 11 publications

(11 citation statements)

References 18 publications

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“…State of charge (SOC) is the equivalent of a fuel gauge for the battery pack in a battery electric vehicle and hybrid electric vehicle. The SOC determination is a complex non-linear problem and there are various techniques to address it (see e.g., [5,65,41]). As discussed in the literature, the SOC of an EV battery can be determined in real time using different methods, such as terminal voltage method, impedence method, coulomb counting method, neural network, support vector machines, and Kalman fitering.…”

Section: 2mentioning

confidence: 99%

Optimal Placement of wireless charging lanes in road networks

Ushijima‐Mwesigwa¹,

Khan²,

Chowdhury³

et al. 2021

Journal of Industrial &Amp; Management Optimization

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The emergence of electric vehicle wireless charging technology, where a whole lane can be turned into a charging infrastructure, leads to new challenges in the design and analysis of road networks. From a network perspective, a major challenge is determining the most important nodes with respect to the placement of the wireless charging lanes. In other words, given a limited budget, cities could face the decision problem of where to place these wireless charging lanes. With a heavy price tag, a placement without a careful study can lead to inefficient use of limited resources. In this work, the placement of wireless charging lanes is modeled as an integer programming problem. The basic formulation is used as a building block for different realistic scenarios. We carry out experiments using real geospatial data and compare our results to different network-based heuristics. Reproducibility: all datasets, algorithm implementations and mathematical programming formulation presented in this work are available at https://github.com/hmwesigwa/smartcities.git

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Section: 2mentioning

confidence: 99%

Optimal Placement of wireless charging lanes in road networks

Ushijima‐Mwesigwa¹,

Khan²,

Chowdhury³

et al. 2021

Journal of Industrial &Amp; Management Optimization

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“…R i is the input ohmic resistance. Figure 2 depicts the equivalent circuits of battery model [13][14][15].…”

Section: Cell Technologiesmentioning

confidence: 99%

A comprehensive review on energy management strategies of hybrid energy storage system for electric vehicles

Geetha

Subramani

2017

Int. J. Energy Res.

102

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Summary The attention on green and clean technology innovations is highly demanded of a modern era. Transportation has seen a high rate of growth in today's cities. The conventional internal combustion engine‐operated vehicle liberates gasses like carbon dioxide, carbon monoxide, nitrogen oxides, hydrocarbons, and water, which result in the increased surface temperature of the earth. One of the optimum solutions to overcome fossil fuel degrading and global warming is electric vehicle. The challenging aspect in electric vehicle is its energy storage system. Many of the researchers mainly concentrate on the field of storage device cost reduction, its age increment, and energy densities' improvement. This paper explores an overview of an electric propulsion system composed of energy storage devices, power electronic converters, and electronic control unit. The battery with high‐energy density and ultracapacitor with high‐power density combination paves a way to overcome the challenges in energy storage system. This study aims at highlighting the various hybrid energy storage system configurations such as parallel passive, active, battery–UC, and UC–battery topologies. Finally, energy management control strategies, which are categorized in global optimization, are reviewed. Copyright © 2017 John Wiley & Sons, Ltd.

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“…The last term that must be determined in equation (2) is the external electrical load ( R ). Here, since the focus of this work is to understand the effects of the elastic support on the power generation and storage capability of PEH devices, the external load is assumed to be a rechargeable battery modeled based on the Thevenin model (He et al, 2011; Hentunen et al, 2014; Koirala et al, 2015; Rahmoun and Biechl, 2012; Wehbe and Karami, 2015). The Thevenin model for a rechargeable battery is represented in Figure 5.…”

Section: Mathematical Modelingmentioning

confidence: 99%

Demonstrating the effects of elastic support on power generation and storage capability of piezoelectric energy harvesting devices

Kouhpanji

2018

Journal of Intelligent Material Systems and Structures

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This study represents effects of an elastic support on the power generation and storage capability of piezoelectric energy harvesting devices. The governing equations were derived and solved for a piezoelectric energy harvesting device made of elastic support, multilayer piezoelectric beam, and a proof mass at its free end. Furthermore, a Thevenin model for a rechargeable battery was considered for storage of the produced power of the piezoelectric energy harvesting device. Analyzing the time-domain and frequency-domain responses of the piezoelectric energy harvesting device on an elastic support shows that the elastic deformation of the support significantly reduces the power generation and storage capability of the device. It was also found that the power generation and storage capability of the piezoelectric energy harvesting device can be enhanced by choosing appropriate physical parameters of the piezoelectric beam even if the elastic properties of the support are poor relative to elastic properties of the piezoelectric beam. These results provide an insightful understanding for designing and material selection for the support in order to reach the highest possible power generation and storage capability for piezoelectric energy harvesting devices.

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Comparison of two battery equivalent circuit models for state of charge estimation in electric vehicles

Cited by 11 publications

References 18 publications

Optimal Placement of wireless charging lanes in road networks

Optimal Placement of wireless charging lanes in road networks

A comprehensive review on energy management strategies of hybrid energy storage system for electric vehicles

Demonstrating the effects of elastic support on power generation and storage capability of piezoelectric energy harvesting devices

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