A Longitudinal Assessment of the Viability of Electric Vehicles for Daily Use

Burgess, Mark; Harris, Margaret; Walsh, Chris; Carroll, Steve; Mansbridge, Sarah; King, Naomi

doi:10.1049/cp.2013.1907

Cited by 8 publications

(3 citation statements)

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“…This reinforces that comfortable range is the central variable that defines the actual available mobility resources which the BEV provides. Finally, comfortable range and range utilisation were found to increase over the first weeks of BEV usage [25][26][27] which is in line with the parallel finding that substantial adaptation to BEV range happens over the first weeks of BEV usage [28].…”

Section: Previous Findings On Comfortable Rangesupporting

confidence: 69%

Range comfort zone of electric vehicle users – concept and assessment

Franke

Günther

Trantow

et al. 2015

IET Intelligent Transport Systems

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Enhancing usable range and the range-related user experience in battery electric vehicle (BEV) use is an essential task in advancing electric mobility systems. The authors suggest the concept of comfortable range (i.e., the users' range comfort zone or range safety buffer) as a benchmark variable for evaluating range-optimisation strategies. A methodology for assessing comfortable range was developed over the course of three BEV field trials. Here the final methodology is described and evaluated which consists of the comfortable range scenario task (CRST) which indirectly assesses comfortable range as well as several single-item indicators that directly ask respondents for comfortable trip distances or range safety buffers. Results show that the developed comfortable range indicators have good psychometric characteristics (internal consistency, factorial structure and testretest reliability), are able to depict the known effect of behavioural adaptation to limited range, and correlate with actual range utilisation behaviour. The CRST performs more robust than the single-item indicators within this evaluation.

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Section: Previous Findings On Comfortable Rangesupporting

confidence: 69%

Range comfort zone of electric vehicle users – concept and assessment

Franke

Günther

Trantow

et al. 2015

IET Intelligent Transport Systems

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“…This study used empirical survey and interview data to identify factors that influence the procurement of PEVs in a local governmental setting as well as understanding the decision-making pathways associated with the procurement of PEVs. Whilst this was a simple analytical approach, this research aimed to contribute to theory and provide a better understanding of early adopters of PEVs [28][29][30][31].…”

Section: Discussionmentioning

confidence: 99%

Electric vehicles in Danish Municipalities: An Understanding of Motivations, Barriers, and the Future of Sustainable Mobility

Anderson

2019

Vehicles

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This paper explores the procurement, use, and experience of plug-in electric vehicles (PEVs) in Danish municipalities in relation to the notion of early adopters and socio-technical theory. Denmark has been one of the most ambitious countries in terms of electric vehicle adoption and use. This study used a combination of in-depth surveys and interviews with all 61 Danish municipalities on their fleet PEV experience and use. By building on the literature, the paper offers a deeper understanding of decision-making pathways for the procurement of PEVs. PEVs were found to be most suited to certain departments and the acceptance and uptake of PEVs was found to be complex and not straightforward.

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“…[38]; usage patterns and the user perception are the main objectives of a longitudinal assessment of the viability of EV for daily use study in Ref. [39]; the usage of autonomous vehicles and eco-routing like in [40]; or, ridesharing of shared autonomous vehicle fleet [41]. There are other examples oriented to transport management which includes in different ways the concept of demand: a bi-level optimization framework for EV fleet charging based on a realistic EV fleet model including a transport demand submodel is proposed in Ref.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Recharging Demand to Integrate Electric Vehicle Fleets in Smart Grids

Guerrero¹,

Personal²,

Parejo³

et al. 2019

Advanced Communication and Control Methods for Future Smartgrids

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Electric vehicle fleets and smart grids are two growing technologies. These technologies provided new possibilities to reduce pollution and increase energy efficiency. In this sense, electric vehicles are used as mobile loads in the power grid. A distributed charging prioritization methodology is proposed in this paper. The solution is based on the concept of virtual power plants and the usage of evolutionary computation algorithms. Additionally, the comparison of several evolutionary algorithms, genetic algorithm, genetic algorithm with evolution control, particle swarm optimization, and hybrid solution are shown in order to evaluate the proposed architecture. The proposed solution is presented to prevent the overload of the power grid. distribution, and retailer levels. The main affected frameworks inside these levels are energy management, distribution management, and demand response. The energy management systems compound several functions [9]. One of them is the control of energy flows. The charging of EV can be made in any point of the grid that has a charging unit. If the system has information about the expected use of the charging unit, the energy flow will be easier to manage [10,11]. The distribution management is related to distribution system operators (DSO). Usually, the charging infrastructure oversees DSOs. Thus, the DSOs must manage these facilities and maintain the information about them. Finally, the demand response concerns retailers and DSOs, and the main problem is demand curve flattening and price management [12]. Nevertheless, the new paradigm proposed by standard organizations, like National Institute of Standards and Technology (NIST), International Electrotechnical Commission (IEC), etc., related to the V2G proposed that the EV could charge or discharge the batteries [13]. Thus, the EV is a power source in specific scenarios. In these cases, the distributed resource management is affected by the new V2G technologies as a distributed power resource in low voltage without total availability, like some renewable energy resources, for example, wind and solar energy [14].This paper proposed a solution for fleet charging prioritization, based on the concept of virtual power plant (VPP) and using distributed evolutionary computation algorithms to optimize the prioritization of EV fleets at different levels of SG ecosystems. A comparison of different evolutionary algorithms is performed.This paper shows the proposed solution, starting with a bibliographical review. Then the architecture over different levels of SG is described, including the information flows. The evolutionary algorithm is described at different levels of SG ecosystem. Finally, the results of test the evolutionary algorithms are shown. Bibliographic reviewThere are several research lines that are related with EVs, involving batteries (e.g., in [15], renewable energy [16], battery management systems [17, 18], energy management systems [19], charging spots [20, 21], driver assistance system [22], etc.). The EVs in the last millen...

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A Longitudinal Assessment of the Viability of Electric Vehicles for Daily Use

Cited by 8 publications

References 0 publications

Range comfort zone of electric vehicle users – concept and assessment

Range comfort zone of electric vehicle users – concept and assessment

Electric vehicles in Danish Municipalities: An Understanding of Motivations, Barriers, and the Future of Sustainable Mobility

Forecasting Recharging Demand to Integrate Electric Vehicle Fleets in Smart Grids

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