What drives range preferences in electric vehicle users
TL;DR: In this article, the authors investigated the factors that influence the range preferences of potential EV customers who had the opportunity to test an EV and found that only customers with EV experience seem to rely on accurate estimates of their range needs when constructing their range preferences.
About: This article is published in Transport Policy.The article was published on 2013-11-01. It has received 279 citations till now. The article focuses on the topics: Range anxiety & Population.
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03 Apr 2019
TL;DR: In this article, the authors set the extensive market penetration of lithium-ion battery-powered EVs as an ultimate objective and then discussed recent advances and challenges of electric automobiles, mainly focusing on critical element resources, present and future EV markets, and the cost and performance of Li-ion batteries.
Abstract: Lithium-ion batteries (LIBs) are currently the most suitable energy storage device for powering electric vehicles (EVs) owing to their attractive properties including high energy efficiency, lack of memory effect, long cycle life, high energy density and high power density. These advantages allow them to be smaller and lighter than other conventional rechargeable batteries such as lead–acid batteries, nickel–cadmium batteries (Ni–Cd) and nickel–metal hydride batteries (Ni–MH). Modern EVs, however, still suffer from performance barriers (range, charging rate, lifetime, etc.) and technological barriers (high cost, safety, reliability, etc.), limiting their widespread adoption. Given these facts, this review sets the extensive market penetration of LIB-powered EVs as an ultimate objective and then discusses recent advances and challenges of electric automobiles, mainly focusing on critical element resources, present and future EV markets, and the cost and performance of LIBs.
Finally, novel battery chemistries and technologies including high-energy electrode materials and all-solid-state batteries are also evaluated for their potential capabilities in next-generation long-range EVs.
645 citations
415 citations
TL;DR: In this paper, the authors predict the cost of a battery pack in 2030 when considering two aspects: firstly a decade of research will ensure an improvement in material sciences altering a battery's chemical composition.
Abstract: The negative impact of the automotive industry on climate change can be tackled by changing from fossil driven vehicles towards battery electric vehicles with no tailpipe emissions. However their adoption mainly depends on the willingness to pay for the extra cost of the traction battery. The goal of this paper is to predict the cost of a battery pack in 2030 when considering two aspects: firstly a decade of research will ensure an improvement in material sciences altering a battery’s chemical composition. Secondly by considering the price erosion due to the production cost optimization, by maturing of the market and by evolving towards to a mass-manufacturing situation. The cost of a lithium Nickel Manganese Cobalt Oxide (NMC) battery (Cathode: NMC 6:2:2 ; Anode: graphite) as well as silicon based lithium-ion battery (Cathode: NMC 6:2:2 ; Anode: silicon alloy), expected to be on the market in 10 years, will be predicted to tackle the first aspect. The second aspect will be considered by combining process-based cost calculations with learning curves, which takes the increasing battery market into account. The 100 dollar/kWh sales barrier will be reached respectively between 2020-2025 for silicon based lithium-ion batteries and 2025–2030 for NMC batteries, which will give a boost to global electric vehicle adoption.
410 citations
TL;DR: In this article, the authors present a comprehensive review of studies on consumer preferences for electric vehicles, aiming to better inform policy-makers and give direction to further research, and discuss a research agenda to improve EV consumer preference studies and give recommendations for further research.
407 citations
Cites background from "What drives range preferences in el..."
...Bunce, Harris, and Burgess (2014) and Franke and Krems (2013) found that throughout a trial period drivers became more relaxed....
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TL;DR: In this paper, a systematic overview of peer-reviewed journal articles to identify the reasons for and against consumer intentions to adopt BEVs was presented, and the influencing factors were categorized into three main types, namely demographic, situational and psychological, and they were reviewed separately.
Abstract: Despite reducing environmental pollution and the excessive consumption of fossil fuels, the number of battery electric vehicles (BEVs) on the road is still low. Why is this so? Why is the mass adoption of BEVs so difficult to realize? One important reason is that the adoption of BEVs is, to a large extent, dependent on the acceptance of private consumers, and their willingness to adopt this mode of transport is insufficient. This study is a systematic overview of peer-reviewed journal articles to identify the reasons for and against consumer intentions to adopt BEVs. A total of 1846 papers were retrieved and after a two-step identification, 40 papers were finally identified and analyzed in detail. The influencing factors were categorized into three main types, namely demographic, situational and psychological, and they were reviewed separately. In addition, the shortcomings and deficiencies in the current studies were also noted.
284 citations
References
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TL;DR: The present paper shows how the extended theory can account for results of several production experiments by Loftus, Juola and Atkinson's multiple-category experiment, Conrad's sentence-verification experiments, and several categorization experiments on the effect of semantic relatedness and typicality by Holyoak and Glass, Rips, Shoben, and Smith, and Rosch.
Abstract: This paper presents a spreading-acti vation theory of human semantic processing, which can be applied to a wide range of recent experimental results The theory is based on Quillian's theory of semantic memory search and semantic preparation, or priming In conjunction with this, several of the miscondeptions concerning Qullian's theory are discussed A number of additional assumptions are proposed for his theory in order to apply it to recent experiments The present paper shows how the extended theory can account for results of several production experiments by Loftus, Juola and Atkinson's multiple-category experiment, Conrad's sentence-verification experiments, and several categorization experiments on the effect of semantic relatedness and typicality by Holyoak and Glass, Rips, Shoben, and Smith, and Rosch The paper also provides a critique of the Smith, Shoben, and Rips model for categorization judgments Some years ago, Quillian1 (1962, 1967) proposed a spreading-acti vation theory of human semantic processing that he tried to implement in computer simulations of memory search (Quillian, 1966) and comprehension (Quillian, 1969) The theory viewed memory search as activation spreading from two or more concept nodes in a semantic network until an intersection was found The effects of preparation (or priming) in semantic memory were also explained in terms of spreading activation from the node of the primed concept Rather than a theory to explain data, it was a theory designed to show how to build human semantic structure and processing into a computer
7,586 citations
TL;DR: A series of decision-making experiments showed that individuals disproportionately stick with the status quo as mentioned in this paper, that is, doing nothing or maintaining one's current or previous decision, and that this bias is substantial in important real decisions.
Abstract: Most real decisions, unlike those of economics texts, have a status quo alternative—that is, doing nothing or maintaining one's current or previous decision. A series of decision-making experiments shows that individuals disproportionately stick with the status quo. Data on the selections of health plans and retirement programs by faculty members reveal that the status quo bias is substantial in important real decisions. Economics, psychology, and decision theory provide possible explanations for this bias. Applications are discussed ranging from marketing techniques, to industrial organization, to the advance of science.
4,817 citations
"What drives range preferences in el..." refers background in this paper
...Indeed, the status quo is known to be a powerful reference point in preference construction (Samuelson and Zeckhauser, 1988)....
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TL;DR: In this paper, a procedure for determining statistically whether the highest observation, lowest observation, highest and lowest observations, or more of the observations in the sample are statistical outliers is given.
Abstract: Procedures are given for determining statistically whether the highest observation, the lowest observation, the highest and lowest observations, the two highest observations, the two lowest observations, or more of the observations in the sample are statistical outliers. Both the statistical formulae and the application of the procedures to examples are given, thus representing a rather complete treatment of tests for outliers in single samples. This paper has been prepared primarily as an expository and tutorial article on the problem of detecting outlying observations in much experimental work. We cover only tests of significance in thii paper.
3,551 citations
"What drives range preferences in el..." refers methods in this paper
...This and all following variables were checked for univariate outliers in accordance with Grubbs (1969)....
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TL;DR: In this paper, the authors provide simple but accurate methods for comparing correlation coefficients between a dependent variable and a set of independent variables using the Fisher z transformation and include a test and confidence interval for comparing two correlated correlations, a test for heterogeneity, and a contrast among k ≥ 2 correlated correlations.
Abstract: The purpose of this article is to provide simple but accurate methods for comparing correlation coefficients between a dependent variable and a set of independent variables. The methods are simple extensions of Dunn & Clark's (1969) work using the Fisher z transformation and include a test and confidence interval for comparing two correlated correlations, a test for heterogeneity, and a test and confidence interval for a contrast among k (>2) correlated correlations. Also briefly discussed is why the traditional Hotelling's t test for comparing correlated correlations is generally not appropriate in practice
2,300 citations
"What drives range preferences in el..." refers background in this paper
...As a direct test of H5, we tested whether the correlation between M7D and T0 minimum acceptable range (rT0) was stronger than the correlation between M7D and T1 minimum acceptable range (rT1), according to Meng et al. (1992)....
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TL;DR: The idea that people's preferences are often constructed in the process of elicitation is derived from studies demonstrating that normatively equivalent elicitation (e.g., choice and pricing) give rise to systematically different responses.
Abstract: Dowe really knowwhatwewant?Ormustwe sometimes construct our preferences on the spot, using whatever cues are available – even when these cues lead us astray? One of the main themes that has emerged from behavioral decision research during the past three decades is the view that people’s preferences are often constructed in the process of elicitation. This idea is derived from studies demonstrating that normatively equivalent methods of elicitation (e.g., choice and pricing) give rise to systematically different responses. These preference reversals violate the principle of procedure invariance that is fundamental to all theories of rational choice. If different elicitation procedures produce different orderings of options, how can preferences be defined and in what sense do they exist? This book shows not only the historical roots of preference construction but also the blossoming of the conceptwithin psychology, law,marketing, philosophy, environmental policy, and economics. Decision making is now understood to be a highly contingent form of information processing, sensitive to task complexity, time pressure, response mode, framing, reference points, and other contextual factors.
2,164 citations
"What drives range preferences in el..." refers background in this paper
...In order to address the research question regarding which factors might drive range preferences, it is important to understand that preferences often result from a construction process that is vulnerable to various psychological biases (Slovic, 1995)....
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...preferences, it is important to understand that preferences often result from a construction process that is vulnerable to various psychological biases (Slovic, 1995)....
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